{"pageNumber":"432","pageRowStart":"10775","pageSize":"25","recordCount":68880,"records":[{"id":70171791,"text":"ofr20161057 - 2016 - Relations between continuous real-time physical properties and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998-2014","interactions":[],"lastModifiedDate":"2016-08-11T09:55:24","indexId":"ofr20161057","displayToPublicDate":"2016-08-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1057","title":"Relations between continuous real-time physical properties and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998-2014","docAbstract":"<p>Water from the Little Arkansas River is used as source water for artificial recharge of the <i>Equus</i> Beds aquifer, one of the primary water-supply sources for the city of Wichita, Kansas. The U.S. Geological Survey has operated two continuous real-time water-quality monitoring stations since 1995 on the Little Arkansas River in Kansas. Regression models were developed to establish relations between discretely sampled constituent concentrations and continuously measured physical properties to compute concentrations of those constituents of interest. Site-specific regression models were originally published in 2000 for the near Halstead and near Sedgwick U.S. Geological Survey streamgaging stations and the site-specific regression models were then updated in 2003. This report updates those regression models using discrete and continuous data collected during May 1998 through August 2014. In addition to the constituents listed in the 2003 update, new regression models were developed for total organic carbon. The real-time computations of water-quality concentrations and loads are available at <a href=\"http://nrtwq.usgs.gov\" data-mce-href=\"http://nrtwq.usgs.gov\">http://nrtwq.usgs.gov</a>. The water-quality information in this report is important to the city of Wichita because water-quality information allows for real-time quantification and characterization of chemicals of concern (including chloride), in addition to nutrients, sediment, bacteria, and atrazine transported in the Little Arkansas River. The water-quality information in this report aids in the decision making for water treatment before artificial recharge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161057","collaboration":"Prepared in cooperation with the city of Wichita, Kansas","usgsCitation":"Rasmussen, P.P., Eslick, P.J., and Ziegler, A.C., 2016, Relations between continuous real-time physical properties and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998-2014: U.S. Geological Survey Open-File Report 2016–1057, 20 p., https://dx.doi.org/10.3133/ofr20161057.","productDescription":"Report: ii, 16 p.; Appendixes 1-2","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073013","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":326275,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1057/ofr20161057.pdf","text":"Report","size":"783 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1057"},{"id":326274,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1057/coverthb.jpg"},{"id":326280,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1057/ofr20161057_appendix2.pdf","text":"Appendix 2","size":"2.90 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1057 Appendix 2"},{"id":326276,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1057/ofr20161057_appendix1.pdf","text":"Appendix 1","size":"2.65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1057 Appendix 1"}],"country":"United States","state":"Kansas","otherGeospatial":"Little Arkansas River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.2,\n              37.75\n            ],\n            [\n              -98.2,\n              38.6\n            ],\n            [\n              -97.25,\n              38.6\n            ],\n            [\n              -97.25,\n              37.75\n            ],\n            [\n              -98.2,\n              37.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Kansas Water Science Center<br />U.S. Geological Survey<br />4821 Quail Crest Place <br />Lawrence, KS 66049</p>\n<p><a href=\"http://ks.water.usgs.gov\">http://ks.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods</li>\n<li>Results of Regression Analysis for Selected Constituents</li>\n<li>Summary</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-08-11","noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57ad93a2e4b0d1835676510a","contributors":{"authors":[{"text":"Rasmussen, Patrick P. 0000-0002-3287-6010 pras@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6010","contributorId":3530,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Patrick","email":"pras@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":632395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eslick, Patrick J. peslick@usgs.gov","contributorId":148966,"corporation":false,"usgs":true,"family":"Eslick","given":"Patrick J.","email":"peslick@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":645021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":645022,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175277,"text":"ofr20161129 - 2016 - 2014 annual summary of the lower Gunnison River Basin Selenium Management Program water-quality monitoring, Colorado","interactions":[],"lastModifiedDate":"2016-08-11T09:05:24","indexId":"ofr20161129","displayToPublicDate":"2016-08-10T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1129","title":"2014 annual summary of the lower Gunnison River Basin Selenium Management Program water-quality monitoring, Colorado","docAbstract":"<p>Dissolved-selenium loading analyses of data collected at 18 water-quality sites in the lower Gunnison River Basin in Colorado were completed through water year (WY) 2014. A WY is defined as October 1–September 30. Selenium is a trace element that bioaccumulates in aquatic food chains and can cause reproductive failure, deformities, and other harmful effects. This report presents information on the dissolved-selenium loads at 18 sites in the lower Gunnison River Basin for WYs 2011–2014. Annual dissolved-selenium loads were calculated at 5 sites with continuous U.S. Geological Survey (USGS) streamflow gages, whereas instantaneous dissolved-selenium loads were calculated for the remaining 13 sites using water-quality samples that had been collected periodically during WYs 2011–2014. Annual dissolved-selenium loads for WY 2014 ranged from 336 pounds (lb) at Uncompahgre River at Colona to 13,300 lb at Gunnison River near Grand Junction (Whitewater). Most sites in the basin had a median instantaneous dissolved-selenium load of less than 20.0 lb per day. In general, dissolved-selenium loads at Gunnison River main-stem sites showed an increase from upstream to downstream.</p><p>The State of Colorado water-quality standard for dissolved selenium of 4.6 micrograms per liter (µg/L) was compared to the 85th percentiles for dissolved selenium at selected water-quality sites. Annual 85th percentiles for dissolved selenium were calculated for the five core USGS sites having streamflow gages using estimated dissolved-selenium concentrations from linear regression models. These annual 85th percentiles in WY 2014 ranged from 0.97 µg/L at Uncompahgre River at Colona to 16.7 µg/L at Uncompahgre River at Delta. Uncompahgre River at Delta and Whitewater were the only core sites where water samples exceeded the State of Colorado water-quality standard for dissolved selenium of 4.6 µg/L.</p><p>Instantaneous 85th percentiles for dissolved selenium were calculated for sites with sufficient data using water-quality samples collected during WYs 2011–2014. The instantaneous 85th percentiles for samples for WY 2014 ranged from 1.1 µg/L at Uncompahgre River at Colona to 125 µg/L at Loutzenhizer Arroyo at North River Road.</p><p>A trend analysis was completed for Whitewater to determine if dissolved-selenium loads are increasing or decreasing. The trend analysis indicates a decrease of 8,000 lb from WY 1986 to WY 2014, a 34.8 percent reduction during the time period, and an additional 6.2 percent reduction from a reported 28.6 percent reduction during WYs 1986–2008. The trend analysis for WY 1992 to WY 2014 indicates a decrease of 5,800 lb per year, or 27.9 percent.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161129","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Henneberg, M.F., 2016, 2014 annual summary of the lower Gunnison River Basin Selenium Management Program water-quality monitoring, Colorado: U.S. Geological Survey Open-File Report 2016–1129, 25 p., https://dx.doi.org/10.3133/ofr20161129. ","productDescription":"iv, 26 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-076878","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":326308,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1129/ofr20161129.pdf","text":"Report","size":"3.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1129"},{"id":326307,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1129/coverthb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Lower Gunnison River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.39935302734375,\n              39.095962936305504\n            ],\n            [\n              -108.270263671875,\n              39.059716474034666\n            ],\n            [\n              -108.160400390625,\n              39.03838632847038\n            ],\n            [\n              -107.99011230468749,\n              39.06824672852526\n            ],\n            [\n              -107.874755859375,\n              39.095962936305504\n            ],\n            [\n              -107.786865234375,\n              39.089567854849314\n            ],\n            [\n              -107.70172119140624,\n              39.0533181067413\n            ],\n            [\n              -107.6055908203125,\n              38.976492485539424\n            ],\n            [\n              -107.6055908203125,\n              38.805470223177466\n            ],\n            [\n              -107.70721435546875,\n              38.62116234642254\n            ],\n            [\n              -107.808837890625,\n              38.43207668538204\n            ],\n            [\n              -107.841796875,\n              38.28131307922969\n            ],\n            [\n              -107.81982421874999,\n              38.048091067457236\n            ],\n            [\n              -107.81982421874999,\n              37.95286091815649\n            ],\n            [\n              -107.92144775390625,\n              37.91820111976663\n            ],\n            [\n              -108.0120849609375,\n              37.91603433975963\n            ],\n            [\n              -108.15216064453125,\n              37.94203148678865\n            ],\n            [\n              -108.26202392578125,\n              38.07404145941957\n            ],\n            [\n              -108.44329833984374,\n              38.47939467327645\n            ],\n            [\n              -108.5723876953125,\n              38.70908932739828\n            ],\n            [\n              -108.6053466796875,\n              38.83542884007303\n            ],\n            [\n              -108.58612060546875,\n              39.04691915968503\n            ],\n            [\n              -108.49822998046875,\n              39.104488809440475\n            ],\n            [\n              -108.39935302734375,\n              39.095962936305504\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director,Colorado Water Science Center<br />U.S. Geological Survey<br />Box 25046, MS&nbsp;415<br />Denver, CO 80225-0046</p>\n<p><a href=\"http://co.water.usgs.gov/\" target=\"_blank\">http://co.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Dissolved-Selenium Concentrations and Loads</li><li>Dissolved-Selenium 85th-Percentile Analyses</li><li>Dissolved-Selenium Trend Analysis</li><li>Summary</li><li>References Cited</li><li>Appendix 1. S-LOADEST Equation Forms, Variable Coefficients, and Statistical Diagnostics</li><li>Appendix 2. Calibration Data for 2014 Annual Load and Trend Regressions</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-08-10","noUsgsAuthors":false,"publicationDate":"2016-08-10","publicationStatus":"PW","scienceBaseUri":"57ac4226e4b0d183567452e9","contributors":{"authors":[{"text":"Henneberg, Mark F. 0000-0002-6991-1211 mfhenneb@usgs.gov","orcid":"https://orcid.org/0000-0002-6991-1211","contributorId":173569,"corporation":false,"usgs":true,"family":"Henneberg","given":"Mark","email":"mfhenneb@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":644657,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70169856,"text":"sir20165038 - 2016 - Alaska Arctic marine fish ecology catalog","interactions":[],"lastModifiedDate":"2017-10-19T15:24:37","indexId":"sir20165038","displayToPublicDate":"2016-08-10T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5038","title":"Alaska Arctic marine fish ecology catalog","docAbstract":"<p>The marine fishes in waters of the United States north of the Bering Strait have received new and increased scientific attention over the past decade (2005&ndash;15) in conjunction with frontier qualities of the region and societal concerns about the effects of Arctic climate change. Commercial fisheries are negligible in the Chukchi and Beaufort Seas, but many marine species have important traditional and cultural values to Alaska Native residents. Although baseline conditions are rapidly changing, effective decisions about research and monitoring investments must be based on reliable information and plausible future scenarios. For the first time, this synthesis presents a comprehensive evaluation of the marine fish fauna from both seas in a single reference. Although many unknowns and uncertainties remain in the scientific understanding, information presented here is foundational with respect to understanding marine ecosystems and addressing dual missions of the U.S. Department of the Interior for energy development and resource conservation.&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165038","collaboration":"Prepared in cooperation with Bureau of Ocean Energy Management, Environmental Studies Program (OCS Study, BOEM 2016-048)","usgsCitation":"Thorsteinson, L.K., and Love, M.S., eds., 2016, Alaska Arctic marine fish ecology catalog: U.S. Geological Survey Scientific Investigations Report 2016-5038 (OCS Study, BOEM 2016-048), 768 p., https://dx.doi.org/10.3133/sir20165038.","productDescription":"xi, 768 p.","numberOfPages":"783","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068293","costCenters":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"links":[{"id":326434,"rank":7,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles4.pdf","text":"Fish Profiles - Inconnu and Glacial Lanternfish","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326439,"rank":12,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles9.pdf","text":"Fish Profiles - Sea Tadpole to Polar Eelpout","size":"16 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":333599,"rank":15,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7M61HD7","text":"USGS data release","description":"USGS data release","linkHelpText":"Dataset for Alaska Marine Fish Ecology Catalog"},{"id":326440,"rank":13,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles10.pdf","text":"Fish Profiles - Marbled Eelpout to Banded Gunnel","size":"16 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326441,"rank":14,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles11.pdf","text":"Fish Profiles - Northern Wolffish to Greenland Halibut","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":325146,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5038/coverthb2.jpg"},{"id":326430,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_chapters.pdf","text":"Report - does not include fish profiles","size":"13.7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326432,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles2.pdf","text":"Fish Profiles - Spotted Spiny Dogfish to Bering Cisco","size":"8.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326436,"rank":9,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles6.pdf","text":"Fish Profiles - Threespine Stickleback to Antlered Scuplin","size":"6.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326437,"rank":10,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles7.pdf","text":"Fish Profiles - Arctic Staghorn Sculpin to Ribbed Sculpin","size":"14 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326435,"rank":8,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles5.pdf","text":"Fish Profiles - Ice Cod to Pacific Cod","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326429,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038.pdf","text":"Complete Report","size":"122.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5038 Complete Report PDF"},{"id":326438,"rank":11,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles8.pdf","text":"Fish Profiles - Crested Sculpin to Leatherfin Lumpsucker","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326433,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles3.pdf","text":"Fish Profiles - Broad Whitefish to Dolly Varden","size":"9.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326431,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles1.pdf","text":"Fish Profiles - Pacific and Arctic Lampreys","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"}}],"contact":"<p>Regional Director, Alaska<br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508-4560<br><a href=\"https://www.usgs.gov/science/regions/alaska-region\" data-mce-href=\"https://www.usgs.gov/science/regions/alaska-region\">https://www.usgs.gov/science/regions/alaska-region</a><br></p>","tableOfContents":"<ul>\n<li>Acknowledgments</li>\n<li>Chapter 1. Alaska Arctic Marine Fish Ecology Catalog&mdash;Chukchi and Beaufort Seas</li>\n<li>Chapter 2. Alaska Arctic Marine Fish Inventory</li>\n<li>Chapter 3. Alaska Arctic Marine Fish Species Accounts</li>\n<li>Chapter 4. Synthesis of Arctic Alaska Marine Fish Ecology</li>\n<li>Chapter 5. Arctic Climate Change&mdash;A Tale Of Two Cods</li>\n<li>Chapter 6. Conservation of Arctic Alaska&rsquo;s Marine Fish Resources</li>\n<li>Chapter 7. Glossary of Ecological Terms</li>\n<li>Chapter 8. References Cited</li>\n<li>Appendixes A-C</li>\n</ul>\n<p>&nbsp;</p>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-08-08","noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"57a99f24e4b05e859bdf4851","contributors":{"editors":[{"text":"Thorsteinson, Lyman K. lthorsteinson@usgs.gov","contributorId":3000,"corporation":false,"usgs":true,"family":"Thorsteinson","given":"Lyman","email":"lthorsteinson@usgs.gov","middleInitial":"K.","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":642285,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Love, Milton S.","contributorId":74652,"corporation":false,"usgs":true,"family":"Love","given":"Milton S.","affiliations":[],"preferred":false,"id":642286,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70175422,"text":"70175422 - 2016 - Climate, streamflow, and legacy effects on growth of riparian <i>Populus angustifolia</i> in the arid San Luis Valley, Colorado","interactions":[],"lastModifiedDate":"2016-08-10T09:56:12","indexId":"70175422","displayToPublicDate":"2016-08-10T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Climate, streamflow, and legacy effects on growth of riparian <i>Populus angustifolia</i> in the arid San Luis Valley, Colorado","docAbstract":"<p><span>Knowledge of the factors affecting the vigor of desert riparian trees is important for their conservation and management. I used multiple regression to assess effects of streamflow and climate (12&ndash;14 years of data) or climate alone (up to 60 years of data) on radial growth of clonal narrowleaf cottonwood (</span><i>Populus angustifolia</i><span>), a foundation species in the arid, Closed Basin portion of the San Luis Valley, Colorado. I collected increment cores from trees (14&ndash;90&nbsp;cm DBH) at four sites along each of Sand and Deadman creeks (total&nbsp;</span><i>N</i><span>&nbsp;=&nbsp;85), including both perennial and ephemeral reaches. Analyses on trees &lt;110&nbsp;m from the stream channel explained 33&ndash;64% of the variation in standardized growth index (SGI) over the period having discharge measurements. Only 3 of 7 models included a streamflow variable; inclusion of prior-year conditions was common. Models for trees farther from the channel or over a deep water table explained 23&ndash;71% of SGI variability, and 4 of 5 contained a streamflow variable. Analyses using solely climate variables over longer time periods explained 17&ndash;85% of SGI variability, and 10 of 12 included a variable indexing summer precipitation. Three large, abrupt shifts in recent decades from wet to dry conditions (indexed by a seasonal Palmer Drought Severity Index) coincided with dramatically reduced radial growth. Each shift was presumably associated with branch dieback that produced a legacy effect apparent in many SGI series: uncharacteristically low SGI in the year following the shift. My results suggest trees in locations distant from the active channel rely on the regional shallow unconfined aquifer, summer rainfall, or both to meet water demands. The landscape-level differences in the water supplies sustaining these trees imply variable effects from shifts in winter-versus monsoon-related precipitation, and from climate change versus streamflow or groundwater management.</span></p>","language":"English","publisher":"Academic Press","publisherLocation":"London","doi":"10.1016/j.jaridenv.2016.07.005","usgsCitation":"Andersen, D., 2016, Climate, streamflow, and legacy effects on growth of riparian <i>Populus angustifolia</i> in the arid San Luis Valley, Colorado: Journal of Arid Environments, v. 134, p. 104-121, https://doi.org/10.1016/j.jaridenv.2016.07.005.","startPage":"104","endPage":"121","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071295","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470671,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2016.07.005","text":"Publisher Index Page"},{"id":326343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Luis Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.84983825683594,\n              37.62075814551956\n            ],\n            [\n              -105.84983825683594,\n              38.03078569382294\n            ],\n            [\n              -105.47561645507812,\n              38.03078569382294\n            ],\n            [\n              -105.47561645507812,\n              37.62075814551956\n            ],\n            [\n              -105.84983825683594,\n              37.62075814551956\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"134","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ac4227e4b0d183567452ec","chorus":{"doi":"10.1016/j.jaridenv.2016.07.005","url":"http://dx.doi.org/10.1016/j.jaridenv.2016.07.005","publisher":"Elsevier BV","authors":"Andersen Douglas C.","journalName":"Journal of Arid Environments","publicationDate":"11/2016"},"contributors":{"authors":[{"text":"Andersen, Douglas doug_andersen@usgs.gov","contributorId":152661,"corporation":false,"usgs":true,"family":"Andersen","given":"Douglas","email":"doug_andersen@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":645133,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70176144,"text":"70176144 - 2016 - Determining CO<sub>2</sub> storage potential during miscible CO<sub>2</sub> enhanced oil recovery: Noble gas and stable isotope tracers","interactions":[],"lastModifiedDate":"2018-02-01T12:31:18","indexId":"70176144","displayToPublicDate":"2016-08-10T09:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2049,"text":"International Journal of Greenhouse Gas Control","active":true,"publicationSubtype":{"id":10}},"title":"Determining CO<sub>2</sub> storage potential during miscible CO<sub>2</sub> enhanced oil recovery: Noble gas and stable isotope tracers","docAbstract":"<p><span>Rising atmospheric carbon dioxide (CO</span><sub>2</sub><span>) concentrations are fueling anthropogenic climate change. Geologic sequestration of anthropogenic CO</span><sub>2</sub><span>&nbsp;in depleted oil reservoirs is one option for reducing CO</span><sub>2</sub><span>&nbsp;emissions to the atmosphere while enhancing oil recovery. In order to evaluate the feasibility of using enhanced oil recovery (EOR) sites in the United States for permanent CO</span><sub>2</sub><span>&nbsp;storage, an active multi-stage miscible CO</span><sub>2</sub><span>flooding project in the Permian Basin (North Ward Estes Field, near Wickett, Texas) was investigated. In addition, two major natural CO</span><sub>2</sub><span>&nbsp;reservoirs in the southeastern Paradox Basin (McElmo Dome and Doe Canyon) were also investigated as they provide CO</span><sub>2</sub><span>&nbsp;for EOR operations in the Permian Basin. Produced gas and water were collected from three different CO</span><sub>2</sub><span>&nbsp;flooding phases (with different start dates) within the North Ward Estes Field to evaluate possible CO</span><sub>2</sub><span>&nbsp;storage mechanisms and amounts of total CO</span><sub>2</sub><span>retention. McElmo Dome and Doe Canyon were sampled for produced gas to determine the noble gas and stable isotope signature of the original injected EOR gas and to confirm the source of this naturally-occurring CO</span><sub>2</sub><span>. As expected, the natural CO</span><sub>2</sub><span>produced from McElmo Dome and Doe Canyon is a mix of mantle and crustal sources. When comparing CO</span><sub>2</sub><span>&nbsp;injection and production rates for the CO</span><sub>2</sub><span>&nbsp;floods in the North Ward Estes Field, it appears that CO</span><sub>2</sub><span>&nbsp;retention in the reservoir decreased over the course of the three injections, retaining 39%, 49% and 61% of the injected CO</span><sub>2</sub><span>&nbsp;for the 2008, 2010, and 2013 projects, respectively, characteristic of maturing CO</span><sub>2</sub><span>&nbsp;miscible flood projects. Noble gas isotopic composition of the injected and produced gas for the flood projects suggest no active fractionation, while &delta;</span><sup>13</sup><span>C</span><img class=\"glyphImg imgLazyJSB\" src=\"http://cdn.els-cdn.com/sd/entities/sbnd\" border=\"0\" alt=\"single bond\" data-inlimg=\"/entities/sbnd\" data-loaded=\"true\" /><span>CO</span><sub>2</sub><span>&nbsp;values suggest no active CO</span><sub>2</sub><span>dissolution into formation water, or mineralization. CO</span><sub>2</sub><span>&nbsp;volumes capable of dissolving in residual formation fluids were also estimated along with the potential to store pure-phase supercritical CO</span><sub>2</sub><span>. Using a combination of dissolution trapping and residual trapping, both volumes of CO</span><sub>2</sub><span>&nbsp;currently retained in the 2008 and 2013 projects could be justified, suggesting no major leakage is occurring. These subsurface reservoirs, jointly considered, have the capacity to store up to 9 years of CO</span><sub>2</sub><span>&nbsp;emissions from an average US powerplant.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijggc.2016.05.008","usgsCitation":"Shelton, J., McIntosh, J.C., Hunt, A.G., Beebe, T.L., Parker, A.D., Warwick, P.D., Drake II, R.M., and McCray, J.E., 2016, Determining CO<sub>2</sub> storage potential during miscible CO<sub>2</sub> enhanced oil recovery: Noble gas and stable isotope tracers: International Journal of Greenhouse Gas Control, v. 51, p. 239-253, https://doi.org/10.1016/j.ijggc.2016.05.008.","productDescription":"14 p.","startPage":"239","endPage":"253","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069409","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijggc.2016.05.008","text":"Publisher Index Page"},{"id":328027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.07421875,\n              34.488447837809304\n            ],\n            [\n              -102.74414062499999,\n              34.813803317113155\n            ],\n            [\n              -104.23828125,\n              35.02999636902566\n            ],\n            [\n              -105.8203125,\n              34.63320791137959\n            ],\n            [\n              -106.5234375,\n              34.161818161230386\n            ],\n            [\n              -106.61132812499999,\n              33.17434155100208\n            ],\n            [\n              -105.5126953125,\n              31.840232667909365\n            ],\n            [\n              -104.3701171875,\n              31.052933985705163\n            ],\n            [\n              -104.4580078125,\n              30.637912028341123\n            ],\n            [\n              -102.83203125,\n              30.524413269923986\n            ],\n            [\n              -101.9970703125,\n              30.939924331023445\n            ],\n            [\n              -101.25,\n              30.29701788337205\n            ],\n            [\n              -100.94238281249999,\n              30.06909396443887\n            ],\n            [\n              -99.6240234375,\n              29.6880527498568\n            ],\n            [\n              -99.2724609375,\n              30.44867367928756\n            ],\n            [\n              -99.0966796875,\n              32.879587173066305\n            ],\n            [\n              -99.2724609375,\n              33.43144133557529\n            ],\n            [\n              -99.404296875,\n              34.05265942137599\n            ],\n            [\n              -101.07421875,\n              34.488447837809304\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.8857421875,\n              36.4566360115962\n            ],\n            [\n              -108.28125,\n              36.03133177633187\n            ],\n            [\n              -106.787109375,\n              36.63316209558658\n            ],\n            [\n              -106.435546875,\n              37.23032838760387\n            ],\n            [\n              -106.3037109375,\n              37.85750715625203\n            ],\n            [\n              -105.5126953125,\n              38.20365531807151\n            ],\n            [\n              -105.1171875,\n              38.8225909761771\n            ],\n            [\n              -105.380859375,\n              39.605688178320804\n            ],\n            [\n              -107.138671875,\n              39.57182223734374\n            ],\n            [\n              -108.2373046875,\n              39.57182223734374\n            ],\n            [\n              -109.2919921875,\n              39.90973623453719\n            ],\n            [\n              -111.09374999999999,\n              39.50404070558415\n            ],\n            [\n              -111.4892578125,\n              39.26628442213066\n            ],\n            [\n              -112.8076171875,\n              38.51378825951165\n            ],\n            [\n              -112.8076171875,\n              37.47485808497102\n            ],\n            [\n              -112.412109375,\n              36.31512514748051\n            ],\n            [\n              -112.5,\n              35.17380831799959\n            ],\n            [\n              -112.412109375,\n              34.161818161230386\n            ],\n            [\n              -111.884765625,\n              33.211116472416855\n            ],\n            [\n              -111.0498046875,\n              32.80574473290688\n            ],\n            [\n              -110.0390625,\n              32.91648534731439\n            ],\n            [\n              -109.3798828125,\n              33.284619968887675\n            ],\n            [\n              -109.072265625,\n              34.125447565116126\n            ],\n            [\n              -108.984375,\n              35.02999636902566\n            ],\n            [\n              -108.5888671875,\n              35.24561909420681\n            ],\n            [\n              -108.6328125,\n              35.460669951495305\n            ],\n            [\n              -108.2373046875,\n              36.24427318493909\n            ],\n            [\n              -107.8857421875,\n              36.4566360115962\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c6a02ee4b0f2f0cebdafd0","contributors":{"authors":[{"text":"Shelton, Jenna L. 0000-0002-1377-0675 jlshelton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":5025,"corporation":false,"usgs":true,"family":"Shelton","given":"Jenna L.","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntosh, Jennifer C. 0000-0001-5055-4202","orcid":"https://orcid.org/0000-0001-5055-4202","contributorId":150557,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":647459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":174135,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":647458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beebe, Thomas L","contributorId":174137,"corporation":false,"usgs":false,"family":"Beebe","given":"Thomas","email":"","middleInitial":"L","affiliations":[{"id":27367,"text":"Whiting Petroleum Corporation","active":true,"usgs":false}],"preferred":false,"id":647463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parker, Andrew D","contributorId":174138,"corporation":false,"usgs":false,"family":"Parker","given":"Andrew","email":"","middleInitial":"D","affiliations":[{"id":27367,"text":"Whiting Petroleum Corporation","active":true,"usgs":false}],"preferred":false,"id":647464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":647460,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Drake II, Ronald M. 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":172671,"corporation":false,"usgs":true,"family":"Drake II","given":"Ronald","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647461,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCray, John E.","contributorId":169186,"corporation":false,"usgs":false,"family":"McCray","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":647462,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70173831,"text":"sir20165072 - 2016 - Evaluation of effects of groundwater withdrawals at the proposed Allen combined-cycle combustion turbine plant, Shelby County, Tennessee","interactions":[],"lastModifiedDate":"2016-08-10T13:43:31","indexId":"sir20165072","displayToPublicDate":"2016-08-10T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5072","title":"Evaluation of effects of groundwater withdrawals at the proposed Allen combined-cycle combustion turbine plant, Shelby County, Tennessee","docAbstract":"<p>The Mississippi Embayment Regional Aquifer Study groundwater-flow model was used to simulate the potential effects of future groundwater withdrawals at the proposed Allen combined-cycle combustion turbine plant in Shelby County, Tennessee. The scenario used in the simulation consisted of a 30-year average withdrawal period followed by a 30-day maximum withdrawal period. Effects of withdrawals at the Allen plant site on the Mississippi embayment aquifer system were evaluated by comparing the difference in simulated water levels in the aquifers at the end of the 30-year average withdrawal period and at the end of the scenario to a base case without the Allen combined-cycle combustion turbine plant withdrawals. Simulated potentiometric surface declines in the Memphis aquifer at the Allen plant site were about 7 feet at the end of the 30-year average withdrawal period and 11 feet at the end of the scenario. The affected area of the Memphis aquifer at the Allen plant site as delineated by the 4-foot potentiometric surface-decline contour was 2,590 acres at the end of the 30-year average withdrawal period and 11,380 acres at the end of the scenario. Simulated declines in the underlying Fort Pillow aquifer and overlying shallow aquifer were both less than 1 foot at the end of the 30-year average withdrawal period and the end of the scenario.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165072","collaboration":"Prepared in cooperation with the Tennessee Valley Authority","usgsCitation":"Haugh, C.J., 2016, Evaluation of effects of groundwater withdrawals at the proposed Allen combined-cycle combustion turbine plant, Shelby County, Tennessee: U.S. Geological Survey Scientific Investigations Report 2016–5072, 8 p., https://dx.doi.org/10.3133/sir20165072.","productDescription":"iv, 8 p.","startPage":"1","endPage":"8","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-072773","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":326304,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5072/coverthb.jpg"},{"id":326305,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5072/sir20165072.pdf","text":"Report","size":"668 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5072"}],"country":"United States","state":"Arkansas, Mississippi, Tennessee","county":"Shelby County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.5,\n              35.375\n            ],\n            [\n              -90.5,\n              34.75\n            ],\n            [\n              -89.75,\n              34.75\n            ],\n            [\n              -89.75,\n              35.375\n            ],\n            [\n              -90.5,\n              35.375\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Chief, Lower Mississippi-Gulf Water Science Center&mdash;Tennessee<br />U.S. Geological Survey<br />640 Grassmere Park, Suite 100, <br />Nashville, TN 37211</p>\n<p><a href=\"http://tn.water.usgs.gov/\">http://tn.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Regional Model</li>\n<li>Effects of Groundwater Withdrawals</li>\n<li>Model Limitations</li>\n<li>Summary</li>\n<li>References</li>\n</ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-08-10","noUsgsAuthors":false,"publicationDate":"2016-08-10","publicationStatus":"PW","scienceBaseUri":"57ac4227e4b0d183567452ee","contributors":{"authors":[{"text":"Haugh, Connor J. 0000-0002-5204-8271 cjhaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-5204-8271","contributorId":3932,"corporation":false,"usgs":true,"family":"Haugh","given":"Connor","email":"cjhaugh@usgs.gov","middleInitial":"J.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638540,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70171480,"text":"sir20165070 - 2016 - Dam failure analysis for the Lago El Guineo Dam, Orocovis, Puerto Rico","interactions":[],"lastModifiedDate":"2016-09-12T10:03:01","indexId":"sir20165070","displayToPublicDate":"2016-08-09T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5070","title":"Dam failure analysis for the Lago El Guineo Dam, Orocovis, Puerto Rico","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, completed hydrologic and hydraulic analyses to assess the potential hazard to human life and property associated with the hypothetical failure of the Lago El Guineo Dam. The Lago El Guineo Dam is within the headwaters of the Río Grande de Manatí and impounds a drainage area of about 4.25 square kilometers.</p><p>The hydrologic assessment was designed to determine the outflow hydrographs and peak discharges for Lago El Guineo and other subbasins in the Río Grande de Manatí hydrographic basin for three extreme rainfall events: (1) a 6-hour probable maximum precipitation event, (2) a 24-hour probable maximum precipitation event, and (3) a 24-hour, 100-year recurrence rainfall event. The hydraulic study simulated a dam failure of Lago El Guineo Dam using flood hydrographs generated from the hydrologic study. The simulated dam failure generated a hydrograph that was routed downstream from Lago El Guineo Dam through the lower reaches of the Río Toro Negro and the Río Grande de Manatí to determine water-surface profiles developed from the event-based hydrologic scenarios and “sunny day” conditions. The Hydrologic Engineering Center’s Hydrologic Modeling System (HEC–HMS) and Hydrologic Engineering Center’s River Analysis System (HEC–RAS) computer programs, developed by the U.S. Army Corps of Engineers, were used for the hydrologic and hydraulic modeling, respectively. The flow routing in the hydraulic analyses was completed using the unsteady flow module available in the HEC–RAS model.</p><p>Above the Lago El Guineo Dam, the simulated inflow peak discharges from HEC–HMS resulted in about 550 and 414 cubic meters per second for the 6- and 24-hour probable maximum precipitation events, respectively. The 24-hour, 100-year recurrence storm simulation resulted in a peak discharge of about 216 cubic meters per second. For the hydrologic analysis, no dam failure conditions are considered within the model. The results of the hydrologic simulations indicated that for all hydrologic conditions scenarios, the Lago El Guineo Dam would not experience overtopping. For the dam breach hydraulic analysis, failure by piping was the selected hypothetical failure mode for the Lago El Guineo Dam.</p><p>Results from the simulated dam failure of the Lago El Guineo Dam using the HEC–RAS model for the 6- and 24-hour probable maximum precipitation events indicated peak discharges below the dam of 1,342.43 and 1,434.69 cubic meters per second, respectively. Dam failure during the 24-hour, 100-year recurrence rainfall event resulted in a peak discharge directly downstream from Lago El Guineo Dam of 1,183.12 cubic meters per second. Dam failure during sunny-day conditions (no precipitation) produced a peak discharge at Lago El Guineo Dam of 1,015.31 cubic meters per second assuming the initial water-surface elevation was at the morning-glory spillway invert elevation.</p><p>The results of the hydraulic analysis indicate that the flood would extend to many inhabited areas along the stream banks from the Lago El Guineo Dam to the mouth of the Río Grande as a result of the simulated failure of the Lago El Guineo Dam. Low-lying regions in the vicinity of Ciales, Manatí, and Barceloneta, Puerto Rico, are among the regions that would be most affected by failure of the Lago El Guineo Dam. Effects of the flood control (levee) structure constructed in 2000 to provide protection to the low-lying populated areas of Barceloneta, Puerto Rico, were considered in the hydraulic analysis of dam failure. The results indicate that overtopping can be expected in the aforementioned levee during 6- and 24-hour probable maximum precipitation events. The levee was not overtopped during dam failure scenarios under the 24-hour, 100-year recurrence rainfall event or sunny-day conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165070","collaboration":"Prepared in cooperation with the Puerto Rico Electric Power Authority","usgsCitation":"Gómez-Fragoso, Julieta, and Torres-Sierra, Heriberto, 2016, Dam failure analysis for the Lago El Guineo Dam, Orocovis, Puerto Rico: U.S. Geological Survey Scientific Investigations Report 2016–5070, 49 p., 4 pls., https://dx.doi.org/10.3133/sir20165070.","productDescription":"Report: vi, 49 p.; 4 Plates: 29 x 35 inches; 2 Data Releases","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-062802","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":438575,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72V2D7Q","text":"USGS data release","linkHelpText":"Dam Failure Analysis for the Lago de Guineo dam, Orocovis, Puerto Rico"},{"id":326029,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070_plate02.pdf","text":"Plate 2 - Flood-Inundation Map of the Predicted 24-Hour Probable Maximum Precipitation Event, Northern Part of Rio Grande de Manati Basin","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326026,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5070/coverthb.jpg"},{"id":326028,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070_plate01.pdf","text":"Plate 1 - Flood-Inundation Map of the Predicted 6-Hour Probable Maximum Precipitation Event, Northern Part of Rio Grande de Manati Basin","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326027,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070.pdf","text":"Report","size":"14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326030,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070_plate03.pdf","text":"Plate 3 - Flood-Inundation Map of the Predicted 100-Year Recurrence, 24-Hour Precipitation Event, Northern Part of Rio Grande de Manati Basin","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326031,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070_plate04.pdf","text":"Plate 4 - Flood-Inundation Map During Sunny Day Conditions, Northern Part of Rio Grande de Manati Basin ","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326032,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F72V2D7Q","text":"USGS data release - Spatial Data for Dam failure analysis for the Lago El Guineo Dam, Orocovis, Puerto Rico","description":"SIR 2016-5070"},{"id":326195,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F72J690R","text":"USGS data release - HEC-HMS and HEC-RAS models used to analyze dam failure for the Lago El Guineo Dam, Orocovis, Puerto Rico","description":"SIR 2016-5070"}],"country":"Puerto Rico","city":"Orocovis","otherGeospatial":"Lago El Guineo Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.583333,\n              18.49\n            ],\n            [\n              -66.583333,\n              18.291667\n            ],\n            [\n              -66.394444,\n              18.291667\n            ],\n            [\n              -66.394444,\n              18.49\n            ],\n            [\n              -66.583333,\n              18.49\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Caribbean-Florida Water Science Center<br /> U.S. Geological Survey<br /> 4446 Pet Lane, Suite 108<br /> Lutz, FL 33559<br /> 813-498-5000<br /> <a href=\"http://pr.water.usgs.gov/\">http://pr.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract&nbsp;</li>\n<li>Introduction</li>\n<li>Hydrologic Study</li>\n<li>Hydraulic Study</li>\n<li>Uncertainties in the Flood Inundation Maps</li>\n<li>Summary and Conclusions</li>\n<li>References Cited</li>\n<li>Appendix 1.&nbsp;Hydrologic Engineering Center&rsquo;s Hydrologic Modeling System Output Hydrographs for the Dam Failure Analysis of the Lago El Guineo Dam, Orocovis, Puerto Rico&nbsp;</li>\n</ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-08-09","noUsgsAuthors":false,"publicationDate":"2016-08-09","publicationStatus":"PW","scienceBaseUri":"57aaf0a3e4b05e859be09b07","contributors":{"authors":[{"text":"Gómez-Fragoso, Julieta jgomez-fragoso@usgs.gov","contributorId":169855,"corporation":false,"usgs":true,"family":"Gómez-Fragoso","given":"Julieta","email":"jgomez-fragoso@usgs.gov","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":false,"id":631264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heriberto Torres-Sierra","contributorId":141082,"corporation":false,"usgs":false,"family":"Heriberto Torres-Sierra","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":644545,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175409,"text":"70175409 - 2016 - Nonlinear relationships can lead to bias in biomass calculations and drift-foraging models when using summaries of invertebrate drift data","interactions":[],"lastModifiedDate":"2016-09-06T13:32:42","indexId":"70175409","displayToPublicDate":"2016-08-09T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Nonlinear relationships can lead to bias in biomass calculations and drift-foraging models when using summaries of invertebrate drift data","docAbstract":"<p><span>Drift-foraging models offer a mechanistic description of how fish feed in flowing water and the application of drift-foraging bioenergetics models to answer both applied and theoretical questions in aquatic ecology is growing. These models typically include nonlinear descriptions of ecological processes and as a result may be sensitive to how model inputs are summarized because of a mathematical property of nonlinear equations known as Jensen&rsquo;s inequality. In particular, we show that the way in which continuous size distributions of invertebrate prey are represented within foraging models can lead to biases within the modeling process. We begin by illustrating how different equations common to drift-foraging models are sensitive to invertebrate inputs. We then use two case studies to show how different representations of invertebrate prey can influence predictions of energy intake and lifetime growth. Greater emphasis should be placed on accurate characterizations of invertebrate drift, acknowledging that inferences from drift-foraging models may be influenced by how invertebrate prey are represented.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10641-016-0507-8","usgsCitation":"Dodrill, M.J., and Yackulic, C.B., 2016, Nonlinear relationships can lead to bias in biomass calculations and drift-foraging models when using summaries of invertebrate drift data: Environmental Biology of Fishes, v. 99, no. 8, p. 659-670, https://doi.org/10.1007/s10641-016-0507-8.","productDescription":"12 p.","startPage":"659","endPage":"670","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070151","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":326332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-09","publicationStatus":"PW","scienceBaseUri":"57ac50dbe4b0d1835674b25c","chorus":{"doi":"10.1007/s10641-016-0507-8","url":"http://dx.doi.org/10.1007/s10641-016-0507-8","publisher":"Springer Nature","authors":"Dodrill Michael J., Yackulic Charles B.","journalName":"Environmental Biology of Fishes","publicationDate":"8/9/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"8/9/2016"},"contributors":{"authors":[{"text":"Dodrill, Michael J. 0000-0002-7038-7170 mdodrill@usgs.gov","orcid":"https://orcid.org/0000-0002-7038-7170","contributorId":5468,"corporation":false,"usgs":true,"family":"Dodrill","given":"Michael","email":"mdodrill@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":645105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":645106,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168517,"text":"70168517 - 2016 - Model simulations of flood and debris flow timing in steep catchments after wildfire","interactions":[],"lastModifiedDate":"2016-09-28T16:11:59","indexId":"70168517","displayToPublicDate":"2016-08-08T14:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Model simulations of flood and debris flow timing in steep catchments after wildfire","docAbstract":"<p><span>Debris flows are a typical hazard on steep slopes after wildfire, but unlike debris flows that mobilize from landslides, most post-wildfire debris flows are generated from water runoff. The majority of existing debris-flow modeling has focused on landslide-triggered debris flows. In this study we explore the potential for using process-based rainfall-runoff models to simulate the timing of water flow and runoff-generated debris flows in recently burned areas. Two different spatially distributed hydrologic models with differing levels of complexity were used: the full shallow water equations and the kinematic wave approximation. Model parameter values were calibrated in two different watersheds, spanning two orders of magnitude in drainage area. These watersheds were affected by the 2009 Station Fire in the San Gabriel Mountains, CA, USA. Input data for the numerical models were constrained by time series of soil moisture, flow stage, and rainfall collected at field sites, as well as high-resolution lidar-derived digital elevation models. The calibrated parameters were used to model a third watershed in the burn area, and the results show a good match with observed timing of flow peaks. The calibrated roughness parameter (Manning's $n$) was generally higher when using the kinematic wave approximation relative to the shallow water equations, and decreased with increasing spatial scale. The calibrated effective watershed hydraulic conductivity was low for both models, even for storms occurring several months after the fire, suggesting that wildfire-induced changes to soil-water infiltration were retained throughout that time. Overall the two model simulations were quite similar suggesting that a kinematic wave model, which is simpler and more computationally efficient, is a suitable approach for predicting flood and debris flow timing in steep, burned watersheds.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2015WR018176","usgsCitation":"Rengers, F.K., McGuire, L., Kean, J.W., Staley, D.M., and Hobley, D., 2016, Model simulations of flood and debris flow timing in steep catchments after wildfire: Water Resources Research, v. 52, no. 8, p. 6041-6061, https://doi.org/10.1002/2015WR018176.","productDescription":"21 p.","startPage":"6041","endPage":"6061","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073271","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470675,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr018176","text":"Publisher Index Page"},{"id":326243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57a99f25e4b05e859bdf4859","contributors":{"authors":[{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":620765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Luke lmcguire@usgs.gov","contributorId":167018,"corporation":false,"usgs":true,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":620766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":620767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":620768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hobley, D.E.J","contributorId":167019,"corporation":false,"usgs":false,"family":"Hobley","given":"D.E.J","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":620769,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188567,"text":"70188567 - 2016 - Modeling streamflow from coupled airborne laser scanning and acoustic Doppler current profiler data","interactions":[],"lastModifiedDate":"2017-08-03T08:41:16","indexId":"70188567","displayToPublicDate":"2016-08-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5426,"text":"Hydrology Research","active":true,"publicationSubtype":{"id":10}},"title":"Modeling streamflow from coupled airborne laser scanning and acoustic Doppler current profiler data","docAbstract":"<p><span>The rating curve enables the translation of water depth into stream discharge through a reference cross-section. This study investigates coupling national scale airborne laser scanning (ALS) and acoustic Doppler current profiler (ADCP) bathymetric survey data for generating stream rating curves. A digital terrain model was defined from these data and applied in a physically based 1-D hydraulic model to generate rating curves for a regularly monitored location in northern Sweden. Analysis of the ALS data showed that overestimation of the streambank elevation could be adjusted with a root mean square error (RMSE) block adjustment using a higher accuracy manual topographic survey. The results of our study demonstrate that the rating curve generated from the vertically corrected ALS data combined with ADCP data had lower errors (RMSE = 0.79 m</span><sup>3</sup><span>/s) than the empirical rating curve (RMSE = 1.13 m</span><sup>3</sup><span>/s) when compared to streamflow measurements. We consider these findings encouraging as hydrometric agencies can potentially leverage national-scale ALS and ADCP instrumentation to reduce the cost and effort required for maintaining and establishing rating curves at gauging station sites similar to the Röån River.</span></p>","language":"English","publisher":"IWA","doi":"10.2166/nh.2016.257","usgsCitation":"Norris, L., Kean, J.W., and Lyon, S., 2016, Modeling streamflow from coupled airborne laser scanning and acoustic Doppler current profiler data: Hydrology Research, v. 48, no. 4, p. 981-996, https://doi.org/10.2166/nh.2016.257.","productDescription":"16 p.","startPage":"981","endPage":"996","ipdsId":"IP-075690","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470677,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-135572","text":"External Repository"},{"id":342555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"59439c94e4b062508e31a9b8","contributors":{"authors":[{"text":"Norris, Lam","contributorId":192981,"corporation":false,"usgs":false,"family":"Norris","given":"Lam","email":"","affiliations":[],"preferred":false,"id":698369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyon, Steve","contributorId":192971,"corporation":false,"usgs":false,"family":"Lyon","given":"Steve","affiliations":[],"preferred":false,"id":698371,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175387,"text":"70175387 - 2016 - Inter-annual variability of area-scaled gaseous carbon emissions from wetland soils in the Liaohe Delta, China","interactions":[],"lastModifiedDate":"2018-03-21T13:30:05","indexId":"70175387","displayToPublicDate":"2016-08-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Inter-annual variability of area-scaled gaseous carbon emissions from wetland soils in the Liaohe Delta, China","docAbstract":"<p><span>Global management of wetlands to suppress greenhouse gas (GHG) emissions, facilitate carbon (C) sequestration, and reduce atmospheric CO</span><sub>2</sub><span><span>&nbsp;</span>concentrations while simultaneously promoting agricultural gains is paramount. However, studies that relate variability in CO</span><sub>2</sub><span><span>&nbsp;</span>and CH</span><sub>4</sub><span><span>&nbsp;</span>emissions at large spatial scales are limited. We investigated three-year emissions of soil CO</span><sub>2</sub><span><span>&nbsp;</span>and CH</span><sub>4</sub><span><span>&nbsp;</span>from the primary wetland types of the Liaohe Delta, China, by focusing on a total wetland area of 3287 km</span><sup>2</sup><span>. One percent is<span>&nbsp;</span></span><i>Suaeda salsa</i><span>, 24% is<span>&nbsp;</span></span><i>Phragmites australis</i><span>, and 75% is rice. While<span>&nbsp;</span></span><i>S</i><span>.<span>&nbsp;</span></span><i>salsa</i><span><span>&nbsp;</span>wetlands are under somewhat natural tidal influence,<span>&nbsp;</span></span><i>P</i><span>.<span>&nbsp;</span></span><i>australis</i><span><span>&nbsp;</span>and rice are managed hydrologically for paper and food, respectively. Total C emissions from CO</span><sub>2</sub><span><span>&nbsp;</span>and CH</span><sub>4</sub><span><span>&nbsp;</span>from these wetland soils were 2.9 Tg C/year, ranging from 2.5 to 3.3 Tg C/year depending on the year assessed. Primary emissions were from CO</span><sub>2</sub><span><span>&nbsp;</span>(~98%). Photosynthetic uptake of CO</span><sub>2</sub><span><span>&nbsp;</span>would mitigate most of the soil CO</span><sub>2</sub><span><span>&nbsp;</span>emissions, but CH</span><sub>4</sub><span><span>&nbsp;</span>emissions would persist. Overall, CH</span><sub>4</sub><span><span>&nbsp;</span>fluxes were high when soil temperatures were &gt;18°C and pore water salinity &lt;18 PSU. CH</span><sub>4</sub><span><span>&nbsp;</span>emissions from rice habitat alone in the Liaohe Delta represent 0.2% of CH</span><sub>4</sub><span><span>&nbsp;</span>carbon emissions globally from rice. With such a large area and interannual sensitivity in soil GHG fluxes, management practices in the Delta and similar wetlands around the world have the potential not only to influence local C budgeting, but also to influence global biogeochemical cycling.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0160612","usgsCitation":"Ye, S., Krauss, K.W., Brix, H., Wei, M., Olsson, L., Yu, X., Ma, Y., Wang, J., Yuan, H., Zhao, G., Ding, X., and Moss, R., 2016, Inter-annual variability of area-scaled gaseous carbon emissions from wetland soils in the Liaohe Delta, China: PLoS ONE, v. 11, no. 8, Article e0160612; 20 p., https://doi.org/10.1371/journal.pone.0160612.","productDescription":"Article e0160612; 20 p.","ipdsId":"IP-072645","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470678,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0160612","text":"Publisher Index Page"},{"id":338190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Liaohe Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              121.17,\n              40.33\n            ],\n            [\n              122.5,\n              40.33\n            ],\n            [\n             122.5,\n              41.33\n            ],\n            [\n              121.17,\n              41.33\n            ],\n            [\n              121.17,\n              40.33\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"58d4df03e4b05ec79911d1a6","contributors":{"authors":[{"text":"Ye, Siyuan","contributorId":146732,"corporation":false,"usgs":false,"family":"Ye","given":"Siyuan","email":"","affiliations":[{"id":16739,"text":"Qingdao Institute of Marine Geology, Shandong Province, China","active":true,"usgs":false}],"preferred":false,"id":645010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":645009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brix, Hans","contributorId":146735,"corporation":false,"usgs":false,"family":"Brix","given":"Hans","email":"","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":645011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wei, Mengjie","contributorId":146734,"corporation":false,"usgs":false,"family":"Wei","given":"Mengjie","email":"","affiliations":[{"id":16739,"text":"Qingdao Institute of Marine Geology, Shandong Province, China","active":true,"usgs":false}],"preferred":false,"id":645012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olsson, Linda","contributorId":146731,"corporation":false,"usgs":false,"family":"Olsson","given":"Linda","email":"","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":645013,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yu, Xueyang","contributorId":146733,"corporation":false,"usgs":false,"family":"Yu","given":"Xueyang","email":"","affiliations":[{"id":16739,"text":"Qingdao Institute of Marine Geology, Shandong Province, China","active":true,"usgs":false}],"preferred":false,"id":645014,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ma, Yueying","contributorId":173533,"corporation":false,"usgs":false,"family":"Ma","given":"Yueying","email":"","affiliations":[{"id":27244,"text":"Qingdao Institute of Marine Geology, China","active":true,"usgs":false}],"preferred":false,"id":645015,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Jin","contributorId":189743,"corporation":false,"usgs":false,"family":"Wang","given":"Jin","email":"","affiliations":[],"preferred":false,"id":645016,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yuan, Hongming","contributorId":173534,"corporation":false,"usgs":false,"family":"Yuan","given":"Hongming","email":"","affiliations":[{"id":27244,"text":"Qingdao Institute of Marine Geology, China","active":true,"usgs":false}],"preferred":false,"id":645017,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhao, Guangming","contributorId":173535,"corporation":false,"usgs":false,"family":"Zhao","given":"Guangming","email":"","affiliations":[{"id":27244,"text":"Qingdao Institute of Marine Geology, China","active":true,"usgs":false}],"preferred":false,"id":645018,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ding, Xigui","contributorId":173536,"corporation":false,"usgs":false,"family":"Ding","given":"Xigui","email":"","affiliations":[{"id":27244,"text":"Qingdao Institute of Marine Geology, China","active":true,"usgs":false}],"preferred":false,"id":645019,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Moss, Rebecca 0000-0002-7599-9758 mossr@usgs.gov","orcid":"https://orcid.org/0000-0002-7599-9758","contributorId":169722,"corporation":false,"usgs":true,"family":"Moss","given":"Rebecca","email":"mossr@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":645020,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70175734,"text":"70175734 - 2016 - Analysis of hydrologic and geochemical time-series data at James Cave, Virginia: Implications for epikarst influence on recharge in Appalachian karst aquifers","interactions":[],"lastModifiedDate":"2016-08-31T11:05:08","indexId":"70175734","displayToPublicDate":"2016-08-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5198,"text":"Geological Society of America Special Papers ","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of hydrologic and geochemical time-series data at James Cave, Virginia: Implications for epikarst influence on recharge in Appalachian karst aquifers","docAbstract":"<p>The epikarst, which consists of highly weathered rock in the upper vadose zone of exposed karst systems, plays a critical role in determining the hydrologic and geochemical characteristics of recharge to an underlying karst aquifer. This study utilized time series (2007&ndash;2014) of hydrologic and geochemical data of drip water collected within James Cave, Virginia, to examine the influence of epikarst on the quantity and quality of recharge in a mature, doline-dominated karst terrain. Results show a strong seasonality of both hydrology and geochemistry of recharge, which has implications for management of karst aquifers in temperate climatic zones. First, recharge (discharge from the epikarst to the underlying aquifer) reaches a maximum between late winter and early spring, with the onset of the recharge season ranging from as early as December to as late as March during the study period. The timing and duration of the recharge season were found to be a function of precipitation in excess of evapotranspiration on a seasonal time scale. Secondly, seasonally variable residence times for water in the epikarst influence rock-water interaction and, hence, the geochemical characteristics of recharge. Overall, results highlight the strong and complex influence that the epikarst has on karst recharge, which requires long-term and high-resolution data sets to accurately understand and quantify.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2015.2516(15)​","usgsCitation":"Eagle, S.D., Orndorff, W., Schwartz, B.F., Doctor, D.H., Gerst, J.D., and Schreiber, M.E., 2016, Analysis of hydrologic and geochemical time-series data at James Cave, Virginia: Implications for epikarst influence on recharge in Appalachian karst aquifers: Geological Society of America Special Papers , v. 516, p. 181-196, https://doi.org/10.1130/2015.2516(15)​.","productDescription":"16 p.","startPage":"181","endPage":"196","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061917","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":328105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326851,"type":{"id":15,"text":"Index Page"},"url":"https://specialpapers.gsapubs.org/content/516/181"}],"country":"United States","state":"Virginia","otherGeospatial":"James Cave","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.87654113769531,\n              37.11707372086296\n            ],\n            [\n              -80.67260742187499,\n              37.2133783531779\n            ],\n            [\n              -80.61698913574219,\n              37.228141500433615\n            ],\n            [\n              -80.59776306152344,\n              37.18821967018367\n            ],\n            [\n              -80.58609008789062,\n              37.18110808791507\n            ],\n            [\n              -80.56755065917969,\n              37.19533058280065\n            ],\n            [\n              -80.52291870117188,\n              37.209003532428646\n            ],\n            [\n              -80.51673889160155,\n              37.19423663983283\n            ],\n            [\n              -80.55450439453125,\n              37.1893137003281\n            ],\n            [\n              -80.56480407714844,\n              37.17563718436526\n            ],\n            [\n              -80.53047180175781,\n              37.14937133266766\n            ],\n            [\n              -80.50575256347656,\n              37.073258333985585\n            ],\n            [\n              -80.72067260742188,\n              36.95318415967938\n            ],\n            [\n              -80.87654113769531,\n              37.11707372086296\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"516","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffaee4b0f2f0cebfc21c","contributors":{"authors":[{"text":"Eagle, Sarah D.","contributorId":150746,"corporation":false,"usgs":false,"family":"Eagle","given":"Sarah","email":"","middleInitial":"D.","affiliations":[{"id":18089,"text":"Virginia Tech, Dept. of Geosciences","active":true,"usgs":false}],"preferred":false,"id":646235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orndorff, William","contributorId":150745,"corporation":false,"usgs":false,"family":"Orndorff","given":"William","email":"","affiliations":[{"id":18088,"text":"Virginia Dept. of Conservation and Recreation","active":true,"usgs":false}],"preferred":false,"id":646236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, Benjamin F.","contributorId":150744,"corporation":false,"usgs":false,"family":"Schwartz","given":"Benjamin","email":"","middleInitial":"F.","affiliations":[{"id":18087,"text":"Texas State University, San Marcos","active":true,"usgs":false}],"preferred":false,"id":646237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":646234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerst, Jonathan D.","contributorId":150747,"corporation":false,"usgs":false,"family":"Gerst","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":18089,"text":"Virginia Tech, Dept. of Geosciences","active":true,"usgs":false}],"preferred":false,"id":646238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schreiber, Madeline E.","contributorId":138959,"corporation":false,"usgs":false,"family":"Schreiber","given":"Madeline","email":"","middleInitial":"E.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":646239,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70207061,"text":"70207061 - 2016 - To manage inland fisheries is to manage at the social-ecological watershed scale","interactions":[],"lastModifiedDate":"2019-12-04T16:09:25","indexId":"70207061","displayToPublicDate":"2016-08-05T16:01:35","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"To manage inland fisheries is to manage at the social-ecological watershed scale","docAbstract":"<p><span>Approaches to managing inland&nbsp;fisheries&nbsp;vary between systems and regions but are often based on large-scale&nbsp;marine fisheries&nbsp;principles and thus limited and outdated. Rarely do they adopt&nbsp;holistic approaches&nbsp;that consider the complex&nbsp;</span>interplay<span>&nbsp;among humans, fish, and the environment. We argue that there is an urgent need for a shift in&nbsp;inland fisheries&nbsp;management towards holistic and transdisciplinary approaches that embrace the principles of&nbsp;social-ecological systems&nbsp;at the watershed scale. The interconnectedness of inland fisheries with their associated watershed (biotic, abiotic, and humans) make them extremely complex and challenging to manage and protect. For this reason, the watershed is a logical management unit. To assist management at this scale, we propose a framework that integrates disparate concepts and management paradigms to facilitate inland fisheries management and sustainability. We contend that inland fisheries need to be managed as social-ecological watershed system (SEWS). The framework supports watershed-scale and transboundary governance to manage inland fisheries, and transdisciplinary projects and teams to ensure relevant and applicable monitoring and research. We discuss concepts of social-ecological feedback and interactions of multiple stressors and factors within/between the social-ecological systems. Moreover, we emphasize that management, monitoring, and research on inland fisheries at the watershed scale are needed to ensure long-term sustainable and resilient fisheries.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.06.045","usgsCitation":"Nguyen, V.T., Lynch, A., Young, N., Cowx, I.G., Beard, T., Taylor, W., and Cooke, S., 2016, To manage inland fisheries is to manage at the social-ecological watershed scale: Journal of Environmental Management, v. 181, p. 312-325, https://doi.org/10.1016/j.jenvman.2016.06.045.","productDescription":"14 p.","startPage":"312","endPage":"325","ipdsId":"IP-068004","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":369925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"181","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nguyen, Vivian T. vnguyen@usgs.gov","contributorId":5490,"corporation":false,"usgs":true,"family":"Nguyen","given":"Vivian","email":"vnguyen@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":776689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":776690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Nathan","contributorId":215062,"corporation":false,"usgs":false,"family":"Young","given":"Nathan","affiliations":[{"id":39169,"text":"University of Ottawa","active":true,"usgs":false}],"preferred":false,"id":776691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cowx, Ian G.","contributorId":37228,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":776692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beard, T. Douglas Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":3314,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":776693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":776694,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":776695,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70175154,"text":"ofr20161125 - 2016 - Effects of climate change on tidal marshes along a latitudinal gradient in California","interactions":[],"lastModifiedDate":"2017-07-19T15:20:47","indexId":"ofr20161125","displayToPublicDate":"2016-08-05T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1125","title":"Effects of climate change on tidal marshes along a latitudinal gradient in California","docAbstract":"<h1>Public Summary</h1><p>The coastal region of California supports a wealth of ecosystem services including habitat provision for wildlife and fisheries. Tidal marshes, mudflats, and shallow bays within coastal estuaries link marine, freshwater and terrestrial habitats, and provide economic and recreational benefits to local communities. Climate change effects such as sea-level rise (SLR) are altering these habitats, but we know little about how these areas will change over the next 50–100 years. Our study examined the projected effects of three recent SLR scenarios produced for the West Coast of North America on tidal marshes in California. We compiled physical and biological data, including coastal topography, tidal inundation, plant composition, and sediment accretion to project how SLR may alter these ecosystems in the future. The goal of our research was to provide results that support coastal management and conservation efforts across California. Under a low SLR scenario, all study sites remained vegetated tidal wetlands, with most sites showing little elevation and vegetation change relative to sea level. At most sites, mid SLR projections led to increases in low marsh habitat at the expense of middle and high marsh habitat. Marshes at Morro Bay and Tijuana River Estuary were the most vulnerable to mid SLR with many areas becoming intertidal mudflat. Under a high SLR scenario, most sites were projected to lose vegetated habitat, eventually converting to intertidal mudflats. Our results suggest that California marshes are vulnerable to major habitat shifts under mid or high rates of SLR, especially in the latter part of the century. Loss of vegetated tidal marshes in California due to SLR is expected to impact ecosystem services that are dependent on coastal wetlands such as wildlife habitat, carbon sequestration, improved water quality, and coastal protection from storms.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161125","collaboration":"Prepared in cooperation with the Southwest Climate Science Center","usgsCitation":"Thorne, K.M., MacDonald, G.M., Ambrose, R.F., Buffington, K.J., Freeman, C.M., Janousek, C.N., Brown, L.N., Holmquist, J.R., Guntenspergen, G.R., Powelson, K.W., Barnard, P.L., and Takekawa, J.Y., 2016, Effects of climate change on tidal marshes along a latitudinal gradient in California: U.S. Geological Survey Open-File Report 2016-1125, 75 p., https://dx.doi.org/10.3133/ofr20161125.","productDescription":"Report: viii, 75 p.; Appendixes","numberOfPages":"87","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-075871","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":326133,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1125/coverthb.jpg"},{"id":326134,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1125/ofr20161125.pdf","text":"Report","size":"4.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1125 Report PDF"},{"id":326135,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1125/ofr20161125_appendixes.pdf","text":"Appendixes","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1125 Appendixes PDF"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.91455078125,\n              40.94671366508002\n            ],\n            [\n              -122.51953124999999,\n              35.99578538642032\n            ],\n            [\n              -120.52001953124999,\n              33.61461929233378\n            ],\n            [\n              -117.92724609375,\n              32.41706632846282\n            ],\n            [\n              -116.05957031249999,\n              32.657875736955305\n            ],\n            [\n              -118.65234374999999,\n              34.63320791137959\n            ],\n            [\n              -120.65185546875,\n              36.58024660149866\n            ],\n            [\n              -122.98095703125,\n              41.0130657870063\n            ],\n            [\n              -124.91455078125,\n              40.94671366508002\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Western Ecological Research Center<br>U.S. Geological Survey<br>3020 State University Drive East<br>Sacramento, California 95819<br><a href=\"http://www.werc.usgs.gov/\" data-mce-href=\"http://www.werc.usgs.gov/\">http://www.werc.usgs.gov/</a><br></p>","tableOfContents":"<ul>\n<li>Section 1&mdash;Public Summary</li>\n<li>Section 2&mdash;Technical Summary</li>\n<li>Section 3&mdash;Purpose and Objectives</li>\n<li>Section 4&mdash;Organization and Approach</li>\n<li>Section 5&mdash;Project Results</li>\n<li>Section 6&mdash;Analysis and Findings</li>\n<li>Section 7&mdash;Conclusions and Recommendations</li>\n<li>Section 8&mdash;Outreach&nbsp;</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n<li>Appendixes. Detailed Site-Specific Results</li>\n</ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2016-08-05","noUsgsAuthors":false,"publicationDate":"2016-08-05","publicationStatus":"PW","scienceBaseUri":"57a5aaa0e4b0ebae89b6db09","contributors":{"authors":[{"text":"Thorne, Karen M. 0000-0002-1381-0657 kthorne@usgs.gov","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":4191,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen","email":"kthorne@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":644118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacDonald, Glen M.","contributorId":173294,"corporation":false,"usgs":false,"family":"MacDonald","given":"Glen","email":"","middleInitial":"M.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":644119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ambrose, Rich F.","contributorId":173460,"corporation":false,"usgs":true,"family":"Ambrose","given":"Rich","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":644126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":644121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Chase M.","contributorId":149925,"corporation":false,"usgs":true,"family":"Freeman","given":"Chase M.","affiliations":[],"preferred":false,"id":644122,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Janousek, Christopher N. 0000-0003-2124-6715","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":103951,"corporation":false,"usgs":false,"family":"Janousek","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":644123,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, Lauren N.","contributorId":173461,"corporation":false,"usgs":false,"family":"Brown","given":"Lauren","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":644130,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holmquist, James R.","contributorId":173462,"corporation":false,"usgs":false,"family":"Holmquist","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":644131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":644125,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Powelson, Katherine W.","contributorId":149927,"corporation":false,"usgs":true,"family":"Powelson","given":"Katherine","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":644124,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":644128,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":644120,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70176262,"text":"70176262 - 2016 - Cross-seasonal effects on waterfowl productivity: Implications under climate change","interactions":[],"lastModifiedDate":"2016-09-07T12:21:17","indexId":"70176262","displayToPublicDate":"2016-08-05T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Cross-seasonal effects on waterfowl productivity: Implications under climate change","docAbstract":"<p>Previous efforts to relate winter-ground precipitation to subsequent reproductive success as measured by the ratio of juveniles to adults in the autumn failed to account for increased vulnerability of juvenile ducks to hunting and uncertainty in the estimated age ratio. Neglecting increased juvenile vulnerability will positively bias the mean productivity estimate, and neglecting increased vulnerability and estimation uncertainty will positively bias the year-to-year variance in productivity because raw age ratios are the product of sampling variation, the year-specific vulnerability, and year-specific reproductive success. Therefore, we estimated the effects of cumulative winter precipitation in the California Central Valley and the Mississippi Alluvial Valley on pintail (<i>Anas acuta</i>) and mallard (<i>Anas platyrhnchos</i>) reproduction, respectively, using hierarchical Bayesian methods to correct for sampling bias in productivity estimates and observation error in covariates. We applied the model to a hunter-collected parts survey implemented by the United States Fish and Wildlife Service and band recoveries reported to the United States Geological Survey Bird Banding Laboratory using data from 1961 to 2013. We compared our results to previous estimates that used simple linear regression on uncorrected age ratios from a smaller subset of years in pintail (1961–1985). Like previous analyses, we found large and consistent effects of population size and wetland conditions in prairie Canada on mallard productivity, and large effects of population size and mean latitude of the observed breeding population on pintail productivity. Unlike previous analyses, we report a large amount of uncertainty in the estimated effects of wintering-ground precipitation on pintail and mallard productivity, with considerable uncertainty in the sign of the estimated main effect, although the posterior medians of precipitation effects were consistent with past studies. We found more consistent estimates in the sign of an interaction effect between population size and precipitation, suggesting that wintering-ground precipitation has a larger effect in years of high population size, especially for pintail. When we used the estimated effects in a population model to derive a sustainable harvest and population size projection (i.e., a yield curve), there was considerable uncertainty in the effect of increased or decreased wintering-ground precipitation on sustainable harvest potential and population size. These results suggest that the mechanism of cross-seasonal effects between winter habitat and reproduction in ducks occurs through a reduction in the strength of density dependence in years of above-average wintering-ground precipitation. We suggest additional investigation of the underlying mechanisms and that habitat managers and decision-makers consider the level of uncertainty in these estimates when attempting to integrate habitat management and harvest management decisions. Collection of annual data on the status of wintering-ground habitat in a rigorous sampling framework would likely be the most direct way to improve understanding of mechanisms and inform management. </p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21124","usgsCitation":"Osnas, E.E., Zhao, Q., Runge, M.C., and Boomer, G., 2016, Cross-seasonal effects on waterfowl productivity: Implications under climate change: Journal of Wildlife Management, v. 80, no. 7, p. 1227-1241, https://doi.org/10.1002/jwmg.21124.","productDescription":"15 p.","startPage":"1227","endPage":"1241","ipdsId":"IP-070276","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-05","publicationStatus":"PW","scienceBaseUri":"57d13a39e4b0571647cf8db5","contributors":{"authors":[{"text":"Osnas, Erik E. 0000-0001-9528-0866 eosnas@usgs.gov","orcid":"https://orcid.org/0000-0001-9528-0866","contributorId":5586,"corporation":false,"usgs":true,"family":"Osnas","given":"Erik","email":"eosnas@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Qing","contributorId":174370,"corporation":false,"usgs":false,"family":"Zhao","given":"Qing","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":648121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boomer, G Scott","contributorId":172150,"corporation":false,"usgs":false,"family":"Boomer","given":"G Scott","affiliations":[{"id":26994,"text":"Div. of Migratory Bird Management, U.S. Fish and Wildlife Service, MD","active":true,"usgs":false}],"preferred":false,"id":648122,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175312,"text":"70175312 - 2016 - Broken connections of wetland cultural knowledge","interactions":[],"lastModifiedDate":"2016-08-04T14:55:11","indexId":"70175312","displayToPublicDate":"2016-08-04T15:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5075,"text":"Ecosystem Health and Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Broken connections of wetland cultural knowledge","docAbstract":"<p>As global agriculture intensifies, cultural knowledge of wetland utilization has eroded as natural resources become more stressed, and marginal farmers move away from the land. The excellent paper by Fawzi et al. (2016) documents a particularly poignant case of traditional knowledge loss among the Marsh Arab women of Iraq. Through interviews, the authors document the breakdown of skill transfer from the older to younger generation of women. The authors link the loss of their cultural knowledge with the loss of wetlands in the region. Women no longer can help provide for their families using wetland products, and along with that, their ancient knowledge of plant usage is lost. These ancient skills included medicinal uses, and reed harvesting for weaving and water buffalo fodder. As, the majority of the Mesopotamian Marshes have dried, this way of life is being forgotten (Fawzi et al. 2015). The global tragedy is that while the careful alliance of wetlands and people have sustained human cultures for millennia, degraded wetlands lose their ability to provide these services (Maltby 1980).</p>","largerWorkTitle":"Ecosystem Health and Sustainability","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ehs2.1223","usgsCitation":"Middleton, B.A., 2016, Broken connections of wetland cultural knowledge: Ecosystem Health and Sustainability, v. 2, no. 7, e01223; 2 p., https://doi.org/10.1002/ehs2.1223.","productDescription":"e01223; 2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074554","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ehs2.1223","text":"Publisher Index Page"},{"id":326115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"7","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-19","publicationStatus":"PW","scienceBaseUri":"57a4591ce4b0c4d7d846743a","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":644752,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175476,"text":"70175476 - 2016 - Reconstructions of Columbia River streamflow from tree-ring chronologies in the Pacific Northwest, USA","interactions":[],"lastModifiedDate":"2018-04-24T13:42:14","indexId":"70175476","displayToPublicDate":"2016-08-04T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2126,"text":"JAWRA","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructions of Columbia River streamflow from tree-ring chronologies in the Pacific Northwest, USA","docAbstract":"<p>We developed Columbia River streamflow reconstructions using a network of existing, new, and updated tree-ring records sensitive to the main climatic factors governing discharge. Reconstruction quality is enhanced by incorporating tree-ring chronologies where high snowpack limits growth, which better represent the contribution of cool-season precipitation to flow than chronologies from trees positively sensitive to hydroclimate alone. The best performing reconstruction (back to 1609 CE) explains 59% of the historical variability and the longest reconstruction (back to 1502 CE) explains 52% of the variability. Droughts similar to the high-intensity, long-duration low flows observed during the 1920s and 1940s are rare, but occurred in the early 1500s and 1630s-1640s. The lowest Columbia flow events appear to be reflected in chronologies both positively and negatively related to streamflow, implying low snowpack and possibly low warm-season precipitation. High flows of magnitudes observed in the instrumental record appear to have been relatively common, and high flows from the 1680s to 1740s exceeded the magnitude and duration of observed wet periods in the late-19th and 20th Century. Comparisons between the Columbia River reconstructions and future projections of streamflow derived from global climate and hydrologic models show the potential for increased hydrologic variability, which could present challenges for managing water in the face of competing demands</p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12442","usgsCitation":"Littell, J.S., Pederson, G.T., Gray, S., Tjoelker, M., Hamlet, A.F., and Woodhouse, C.A., 2016, Reconstructions of Columbia River streamflow from tree-ring chronologies in the Pacific Northwest, USA: JAWRA, v. 52, no. 5, p. 1121-1141, https://doi.org/10.1111/1752-1688.12442.","productDescription":"21 p.","startPage":"1121","endPage":"1141","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063792","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":470681,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1752-1688.12442","text":"External Repository"},{"id":326463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.25634765624999,\n              53.370220573956786\n            ],\n            [\n              -120.43212890625,\n              51.6180165487737\n            ],\n            [\n              -120.87158203125,\n              49.35375571830993\n            ],\n            [\n              -122.08007812499999,\n              46.6795944656402\n            ],\n            [\n              -122.958984375,\n              44.55916341529184\n            ],\n            [\n              -123.74999999999999,\n              42.48830197960227\n            ],\n            [\n              -121.904296875,\n              41.820455096140314\n            ],\n            [\n              -119.77294921874999,\n              39.402244340292775\n            ],\n            [\n              -117.48779296875,\n              39.7240885773337\n            ],\n            [\n              -113.818359375,\n              41.32732632036622\n            ],\n            [\n              -111.90673828125,\n              41.80407814427237\n            ],\n            [\n              -110.0390625,\n              42.342305278572816\n            ],\n            [\n              -108.34716796875,\n              43.14909399920127\n            ],\n            [\n              -108.87451171875,\n              45.058001435398296\n            ],\n            [\n              -110.32470703125,\n              46.81509864599243\n            ],\n            [\n              -113.466796875,\n              49.42526716083716\n            ],\n            [\n              -114.32373046875,\n              50.24720490139267\n            ],\n            [\n              -120.25634765624999,\n              53.370220573956786\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-04","publicationStatus":"PW","scienceBaseUri":"57aef346e4b0fc09faae03ed","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280 jlittell@usgs.gov","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":4428,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"jlittell@usgs.gov","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":645378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":645379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Stephen T. sgray@usgs.gov","contributorId":221,"corporation":false,"usgs":true,"family":"Gray","given":"Stephen T.","email":"sgray@usgs.gov","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":645380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tjoelker, Michael","contributorId":173658,"corporation":false,"usgs":false,"family":"Tjoelker","given":"Michael","email":"","affiliations":[{"id":13194,"text":"School of Environmental and Forest Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":645381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamlet, Alan F.","contributorId":15529,"corporation":false,"usgs":true,"family":"Hamlet","given":"Alan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":645382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":645383,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70173845,"text":"sir20165081 - 2016 - Methods for estimating annual exceedance probability discharges for streams in Arkansas, based on data through water year 2013","interactions":[],"lastModifiedDate":"2016-08-04T16:13:43","indexId":"sir20165081","displayToPublicDate":"2016-08-04T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5081","title":"Methods for estimating annual exceedance probability discharges for streams in Arkansas, based on data through water year 2013","docAbstract":"<p>In 2013, the U.S. Geological Survey initiated a study to update regional skew, annual exceedance probability discharges, and regional regression equations used to estimate annual exceedance probability discharges for ungaged locations on streams in the study area with the use of recent geospatial data, new analytical methods, and available annual peak-discharge data through the 2013 water year. An analysis of regional skew using Bayesian weighted least-squares/Bayesian generalized-least squares regression was performed for Arkansas, Louisiana, and parts of Missouri and Oklahoma. The newly developed constant regional skew of -0.17 was used in the computation of annual exceedance probability discharges for 281 streamgages used in the regional regression analysis. Based on analysis of covariance, four flood regions were identified for use in the generation of regional regression models. Thirty-nine basin characteristics were considered as potential explanatory variables, and ordinary least-squares regression techniques were used to determine the optimum combinations of basin characteristics for each of the four regions. Basin characteristics in candidate models were evaluated based on multicollinearity with other basin characteristics (variance inflation factor &lt; 2.5) and statistical significance at the 95-percent confidence level (<i>p</i> ≤ 0.05). Generalized least-squares regression was used to develop the final regression models for each flood region. Average standard errors of prediction of the generalized least-squares models ranged from 32.76 to 59.53 percent, with the largest range in flood region D. Pseudo coefficients of determination of the generalized least-squares models ranged from 90.29 to 97.28 percent, with the largest range also in flood region D. The regional regression equations apply only to locations on streams in Arkansas where annual peak discharges are not substantially affected by regulation, diversion, channelization, backwater, or urbanization. The applicability and accuracy of the regional regression equations depend on the basin characteristics measured for an ungaged location on a stream being within range of those used to develop the equations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165081","collaboration":"Prepared in cooperation with the Arkansas State Highway and Transportation Department and the U.S. Army Corps of Engineers, Little Rock District","usgsCitation":"Wagner, D.M., Krieger, J.D., and Veilleux, A.G., 2016, Methods for estimating annual exceedance probability discharges for streams in Arkansas, based on data through water year 2013: U.S. Geological Survey Scientific Investigations Report 2016–5081, 136 p., https://dx.doi.org/10.3133/sir20165081.","productDescription":"Report: ix, 136 p.; Appendix Tables","numberOfPages":"149","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070399","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":326076,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5081/coverthb.jpg"},{"id":326077,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5081/sir20165081.pdf","text":"Report","size":"18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5081 Report PDF"},{"id":326078,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5081/sir20165081_app_tables.xlsx","text":"Appendix Tables","size":"88 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5081 Appendix tables spreadsheet"}],"country":"United States","state":"Arkansas","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-94.042964,33.019219],[-94.043428,33.551425],[-94.061896,33.549764],[-94.072156,33.553864],[-94.073744,33.558285],[-94.067985,33.560961],[-94.056442,33.560998],[-94.056096,33.567252],[-94.082641,33.575492],[-94.119902,33.566999],[-94.126898,33.550647],[-94.131382,33.552934],[-94.136046,33.571388],[-94.143402,33.565505],[-94.151456,33.568387],[-94.14216,33.58139],[-94.156782,33.575749],[-94.161277,33.579271],[-94.161082,33.587972],[-94.183913,33.594682],[-94.194465,33.582886],[-94.217198,33.580737],[-94.211329,33.573774],[-94.201106,33.575851],[-94.192483,33.570425],[-94.189884,33.562454],[-94.196395,33.555123],[-94.203594,33.566546],[-94.208078,33.566911],[-94.226392,33.552912],[-94.250197,33.556765],[-94.251108,33.56528],[-94.236836,33.580914],[-94.240179,33.589536],[-94.257801,33.582508],[-94.27909,33.557026],[-94.290901,33.558872],[-94.290372,33.567905],[-94.280849,33.577187],[-94.287025,33.58241],[-94.301023,33.573022],[-94.309582,33.551673],[-94.319492,33.548864],[-94.33059,33.552692],[-94.33438,33.562536],[-94.344023,33.567824],[-94.352433,33.562172],[-94.34729,33.552197],[-94.355945,33.54318],[-94.381667,33.544035],[-94.399393,33.557077],[-94.397398,33.562314],[-94.378561,33.571329],[-94.382887,33.583268],[-94.403342,33.568424],[-94.412175,33.568691],[-94.430039,33.591124],[-94.439518,33.594154],[-94.449112,33.590894],[-94.471152,33.601588],[-94.469451,33.607316],[-94.452325,33.618817],[-94.462736,33.63091],[-94.448451,33.634497],[-94.448637,33.642766],[-94.459198,33.645146],[-94.464186,33.637655],[-94.485875,33.637867],[-94.45753,34.642961],[-94.431215,35.39429],[-94.617919,36.499414],[-90.152481,36.497952],[-90.158568,36.491574],[-90.15946,36.481343],[-90.142269,36.472138],[-90.152888,36.47093],[-90.1557,36.466103],[-90.14153,36.462993],[-90.137323,36.455411],[-90.133993,36.437906],[-90.143798,36.428483],[-90.139499,36.421457],[-90.13559,36.422897],[-90.138653,36.414547],[-90.131038,36.415069],[-90.109495,36.404073],[-90.080426,36.400763],[-90.064514,36.382085],[-90.066297,36.3593],[-90.077695,36.348478],[-90.075572,36.33404],[-90.081961,36.322097],[-90.069266,36.313152],[-90.06398,36.303038],[-90.0778,36.288349],[-90.075934,36.281485],[-90.083731,36.272332],[-90.114922,36.265595],[-90.118219,36.253491],[-90.124476,36.244198],[-90.129716,36.243235],[-90.126366,36.229367],[-90.14224,36.227522],[-90.15614,36.213706],[-90.179695,36.208262],[-90.199905,36.196848],[-90.204449,36.18694],[-90.21128,36.183392],[-90.220425,36.184764],[-90.23537,36.159153],[-90.231386,36.147348],[-90.235585,36.139474],[-90.266256,36.120559],[-90.293109,36.114368],[-90.29991,36.098236],[-90.319168,36.089976],[-90.320746,36.071326],[-90.333261,36.067504],[-90.337146,36.047754],[-90.347908,36.041939],[-90.351732,36.025347],[-90.37789,35.995683],[-89.733095,36.000608],[-89.719168,35.985976],[-89.719679,35.970939],[-89.714565,35.963034],[-89.652279,35.921462],[-89.644838,35.904351],[-89.64727,35.89492],[-89.665672,35.883301],[-89.677012,35.88572],[-89.688141,35.896946],[-89.714934,35.906247],[-89.741241,35.906749],[-89.768743,35.886663],[-89.773564,35.871697],[-89.769413,35.861558],[-89.704351,35.835726],[-89.701045,35.828227],[-89.706085,35.81826],[-89.734044,35.806174],[-89.765442,35.811214],[-89.781793,35.805084],[-89.799331,35.788503],[-89.799249,35.775439],[-89.821216,35.756716],[-89.846343,35.755732],[-89.877256,35.741369],[-89.909996,35.759396],[-89.956254,35.733386],[-89.955753,35.690621],[-89.931036,35.660044],[-89.898916,35.650904],[-89.886979,35.653637],[-89.878534,35.66482],[-89.864782,35.670385],[-89.851176,35.657432],[-89.856619,35.634444],[-89.894346,35.615535],[-89.910687,35.617536],[-89.945405,35.601611],[-89.956749,35.590511],[-89.95669,35.581426],[-89.941393,35.556555],[-89.910789,35.547515],[-89.910885,35.541072],[-89.903882,35.534175],[-89.911931,35.51741],[-89.919331,35.51387],[-89.951248,35.521866],[-89.956347,35.525594],[-89.958498,35.541703],[-89.989363,35.560043],[-90.02862,35.555249],[-90.039744,35.548041],[-90.050277,35.515275],[-90.043517,35.492298],[-90.018842,35.464816],[-90.031584,35.427662],[-90.04057,35.422925],[-90.056644,35.403786],[-90.041563,35.39662],[-90.044856,35.392964],[-90.054451,35.38965],[-90.069283,35.408306],[-90.062018,35.41518],[-90.070549,35.423291],[-90.074082,35.433983],[-90.067138,35.464833],[-90.085009,35.478835],[-90.107723,35.476935],[-90.114412,35.472467],[-90.129448,35.441931],[-90.169002,35.421853],[-90.179265,35.385194],[-90.166246,35.374745],[-90.13551,35.376668],[-90.146191,35.399468],[-90.143448,35.406671],[-90.130475,35.413745],[-90.112504,35.410153],[-90.09665,35.395257],[-90.074992,35.384152],[-90.087903,35.36327],[-90.110293,35.342786],[-90.103862,35.332405],[-90.109093,35.304987],[-90.139504,35.298828],[-90.149794,35.303288],[-90.158913,35.300637],[-90.168794,35.279088],[-90.152094,35.255989],[-90.140394,35.252289],[-90.105093,35.254288],[-90.07875,35.227806],[-90.074155,35.21707],[-90.07682,35.208817],[-90.088597,35.212376],[-90.096466,35.194848],[-90.116182,35.198498],[-90.117542,35.19057],[-90.092944,35.157228],[-90.066958,35.151839],[-90.065392,35.137691],[-90.08342,35.12167],[-90.100593,35.116691],[-90.142794,35.135091],[-90.165328,35.125228],[-90.176843,35.112088],[-90.181387,35.091401],[-90.195133,35.061793],[-90.196095,35.0374],[-90.209397,35.026546],[-90.256495,35.034493],[-90.263796,35.039593],[-90.295596,35.040093],[-90.309877,35.00975],[-90.309297,34.995694],[-90.296422,34.976346],[-90.250056,34.951196],[-90.244476,34.937596],[-90.244725,34.921031],[-90.250095,34.90732],[-90.313476,34.871698],[-90.302523,34.856471],[-90.307384,34.846195],[-90.323067,34.846391],[-90.34038,34.860357],[-90.414864,34.831846],[-90.428754,34.8414],[-90.430096,34.871212],[-90.436561,34.882731],[-90.459819,34.891946],[-90.479872,34.883264],[-90.483969,34.877176],[-90.483876,34.861333],[-90.456935,34.823383],[-90.47459,34.7932],[-90.453038,34.753352],[-90.452479,34.739898],[-90.469897,34.72703],[-90.488865,34.723731],[-90.501667,34.724236],[-90.518317,34.73279],[-90.520556,34.753388],[-90.505494,34.764568],[-90.501523,34.774795],[-90.514706,34.801768],[-90.522892,34.802265],[-90.53651,34.798572],[-90.544067,34.791159],[-90.54817,34.78189],[-90.542631,34.764396],[-90.543811,34.749277],[-90.563544,34.738671],[-90.568172,34.727384],[-90.565646,34.721053],[-90.538974,34.698783],[-90.471185,34.699066],[-90.462552,34.687576],[-90.466041,34.674312],[-90.5081,34.636682],[-90.532188,34.627487],[-90.547614,34.631656],[-90.554129,34.640871],[-90.552642,34.659707],[-90.539409,34.670902],[-90.538856,34.682463],[-90.549856,34.695478],[-90.555627,34.697946],[-90.567334,34.693371],[-90.588419,34.670963],[-90.583088,34.64361],[-90.587224,34.615732],[-90.570133,34.587457],[-90.545891,34.563257],[-90.540736,34.548085],[-90.545728,34.53775],[-90.578493,34.516296],[-90.588942,34.491097],[-90.585477,34.461247],[-90.56733,34.440383],[-90.566505,34.429528],[-90.571145,34.420319],[-90.613944,34.390723],[-90.658542,34.375705],[-90.655346,34.371846],[-90.666788,34.35582],[-90.666862,34.348569],[-90.657488,34.322231],[-90.661395,34.315398],[-90.669343,34.31302],[-90.686003,34.315771],[-90.693129,34.32257],[-90.691551,34.338618],[-90.68162,34.35291],[-90.683222,34.368817],[-90.712088,34.363805],[-90.750107,34.367919],[-90.765764,34.362109],[-90.767732,34.346872],[-90.744713,34.324872],[-90.74061,34.313469],[-90.743082,34.302257],[-90.765165,34.280524],[-90.802928,34.282465],[-90.828267,34.27365],[-90.836972,34.250104],[-90.840009,34.223077],[-90.847808,34.20653],[-90.87912,34.21545],[-90.89456,34.22438],[-90.905934,34.243529],[-90.929015,34.244541],[-90.936404,34.236698],[-90.93522,34.21905],[-90.916048,34.196916],[-90.887884,34.18198],[-90.8556,34.18688],[-90.816572,34.183023],[-90.808685,34.175878],[-90.810884,34.155903],[-90.825708,34.142011],[-90.847168,34.136884],[-90.86458,34.140555],[-90.894385,34.160953],[-90.91001,34.165508],[-90.9543,34.138498],[-90.958467,34.125105],[-90.946323,34.109374],[-90.918395,34.093054],[-90.882628,34.096615],[-90.870461,34.082739],[-90.887837,34.055403],[-90.886991,34.035094],[-90.89242,34.02686],[-90.942662,34.01805],[-90.970726,34.02162],[-90.987948,34.019038],[-90.979945,34.000106],[-90.961548,33.979945],[-90.967632,33.963324],[-90.983359,33.960186],[-91.000108,33.966428],[-91.01889,34.003151],[-91.042751,33.986811],[-91.075378,33.983586],[-91.087921,33.975335],[-91.089787,33.966004],[-91.084095,33.956179],[-91.035961,33.943758],[-91.010318,33.929352],[-91.026382,33.90798],[-91.070883,33.866714],[-91.073011,33.857449],[-91.067511,33.840443],[-91.046849,33.815365],[-91.000107,33.799549],[-90.988466,33.78453],[-91.000106,33.769165],[-91.023285,33.762991],[-91.053886,33.778701],[-91.107318,33.770619],[-91.123466,33.782106],[-91.132185,33.78342],[-91.145112,33.76734],[-91.141304,33.760835],[-91.146618,33.732456],[-91.132338,33.714246],[-91.117733,33.705342],[-91.101101,33.705007],[-91.06829,33.716477],[-91.059891,33.714816],[-91.046778,33.706313],[-91.03612,33.689113],[-91.030402,33.687766],[-91.03146,33.678142],[-91.046412,33.668272],[-91.078507,33.658283],[-91.09404,33.658351],[-91.13045,33.674522],[-91.160866,33.707096],[-91.212077,33.698249],[-91.225279,33.687749],[-91.229015,33.677543],[-91.219048,33.661503],[-91.178311,33.651109],[-91.139209,33.625658],[-91.130445,33.606034],[-91.134043,33.594489],[-91.152148,33.582721],[-91.175979,33.582968],[-91.198285,33.572061],[-91.224121,33.567369],[-91.230858,33.561372],[-91.232295,33.552788],[-91.219297,33.532364],[-91.187367,33.510552],[-91.182901,33.502379],[-91.206753,33.470308],[-91.231661,33.4571],[-91.235928,33.440611],[-91.206807,33.433846],[-91.177293,33.443638],[-91.16936,33.452629],[-91.177148,33.48617],[-91.167403,33.498304],[-91.125109,33.472842],[-91.117975,33.453807],[-91.131885,33.430063],[-91.17628,33.416979],[-91.199354,33.418321],[-91.209032,33.403633],[-91.171968,33.38103],[-91.140938,33.380477],[-91.113764,33.393124],[-91.099277,33.408244],[-91.095211,33.417488],[-91.096723,33.437603],[-91.086498,33.451576],[-91.067623,33.455104],[-91.057621,33.445341],[-91.058152,33.428705],[-91.075293,33.405966],[-91.101456,33.38719],[-91.120409,33.363809],[-91.142219,33.348989],[-91.141615,33.299539],[-91.125539,33.280255],[-91.128078,33.268502],[-91.118208,33.262071],[-91.106142,33.241799],[-91.1001,33.238125],[-91.096931,33.241628],[-91.086137,33.273652],[-91.07853,33.283306],[-91.067035,33.28718],[-91.052369,33.285415],[-91.043624,33.274636],[-91.050407,33.251202],[-91.070697,33.227302],[-91.091711,33.220813],[-91.084366,33.180856],[-91.089862,33.139655],[-91.104317,33.131598],[-91.131659,33.129101],[-91.150362,33.130695],[-91.160298,33.141216],[-91.183662,33.141691],[-91.193174,33.136734],[-91.20178,33.125121],[-91.200167,33.10693],[-91.180836,33.098364],[-91.171514,33.087818],[-91.149823,33.081603],[-91.121195,33.059166],[-91.129088,33.033554],[-91.162363,33.019684],[-91.166073,33.004106],[-93.081428,33.017928],[-94.042964,33.019219]]]},\"properties\":{\"name\":\"Arkansas\",\"nation\":\"USA  \"}}]}","contact":"<p><a href=\"mailto:gs-w-lmg_center_director@usgs.gov\" target=\"_blank\" data-mce-href=\"mailto:gs-w-lmg_center_director@usgs.gov\">Director</a>, Lower Mississippi-Gulf Water Science Center<br>U.S. Geological Survey<br>401 Hardin Road<br>Little Rock, Arkansas 72211–3528<br><a href=\"http://ar.water.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://ar.water.usgs.gov/\">http://ar.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods</li>\n<li>Estimating Annual Exceedance Probability Discharges for Streams in Arkansas</li>\n<li>Accuracy and Limitations of Regression Equations</li>\n<li>Applications of Regional Regression Equations</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Appendixes 1-3</li>\n</ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-08-04","noUsgsAuthors":false,"publicationDate":"2016-08-04","publicationStatus":"PW","scienceBaseUri":"57a4591ce4b0c4d7d846743e","contributors":{"authors":[{"text":"Wagner, Daniel M. 0000-0002-0432-450X dwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-0432-450X","contributorId":4531,"corporation":false,"usgs":true,"family":"Wagner","given":"Daniel","email":"dwagner@usgs.gov","middleInitial":"M.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":638654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krieger, Joshua D.","contributorId":43667,"corporation":false,"usgs":true,"family":"Krieger","given":"Joshua","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":638656,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174887,"text":"sir20165103 - 2016 - Low-flow characteristics for streams on the Islands of Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi","interactions":[],"lastModifiedDate":"2016-09-06T09:04:14","indexId":"sir20165103","displayToPublicDate":"2016-08-03T19:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5103","title":"Low-flow characteristics for streams on the Islands of Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi","docAbstract":"<p>Statistical models were developed to estimate natural streamflow under low-flow conditions for streams with existing streamflow data at measurement sites on the Islands of Kauaʻi, O<span>ʻ</span>ahu, Moloka<span>ʻ</span>i, Maui, and Hawai<span>ʻ</span>i. Streamflow statistics used to describe the low-flow characteristics are flow-duration discharges that are equaled or exceeded between 50 and 95 percent of the time during the 30-year base period 1984–2013. Record-augmentation techniques were applied to develop statistical models relating concurrent streamflow data at the measurement sites and long-term data from nearby continuous-record streamflow-gaging stations that were in operation during the base period and were selected as index stations. Existing data and subsequent low-flow analyses of the available data help to identify streams in under-represented geographic areas and hydrogeologic settings where additional data collection is suggested.</p><p>Low-flow duration discharges were estimated for 107 measurement sites (including long-term and short-term continuous-record streamflow-gaging stations, and partial-record stations) and 27 index stations. The adequacy of statistical models was evaluated with correlation coefficients and modified Nash-Sutcliff coefficients of efficiency, and a majority of the low-flow duration-discharge estimates are satisfactory based on these regression statistics.</p><p>Molokaʻi and Hawaiʻi have the fewest number of measurement sites (that are not located on ephemeral stream reaches) at which flow-duration discharges were estimated, which can be partially explained by the limited number of index stations available on these islands that could be used for record augmentation. At measurement sites on some tributary streams, low-flow duration discharges could not be estimated because no adequate correlations could be developed with the index stations. These measurement sites are located on streams where duration-discharge estimates are available at long-term stations at other locations on the main stream channel to provide at least some definition of low-flow characteristics on that stream. In terms of general natural streamflow data availability, data are scarce in the leeward areas for all five islands as many leeward streams are dry or have minimal flow. Other under-represented areas include central Oʻahu, central Maui, and southeastern Maui.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165103","collaboration":"Prepared in cooperation with the State of Hawaiʻi Commission on Water Resource Management, State of Hawaiʻi Department of Hawaiian Home Lands, and Office of Hawaiian Affairs","usgsCitation":"Cheng, C.L., 2016, Low-flow characteristics for streams on the Islands of Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi: U.S. Geological Survey Scientific Investigations Report 2016-5103, 36 p., https://dx.doi.org/10.3133/sir20165103.","productDescription":"Report: v, 36 p.; Appendixes 1-2","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065440","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":325965,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5103/coverthb.jpg"},{"id":325966,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5103/sir20165103.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5103 Report PDF"},{"id":325967,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5103/sir20165103_appendix1.xlsx","text":"Appendix 1 - ","size":"29 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5103 Appendix 1 spreadsheet","linkHelpText":"Station Numbers, Names, Station Type, Period of Record, and Record Length of Measurement Sites Used in this Study, State of Hawaiʻi."},{"id":325968,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5103/sir20165103_appendix2.xlsx","text":"Appendix 2 - ","size":"56 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5103 Appendix 2 spreadsheet","linkHelpText":"Summary of Record-Augmentation Technique, Regression Equations, and Associated Select Regression Statistics for Natural Low-Flow Duration Estimates at Continuous-Record Streamflow-Gaging Stations and Partial-Record Stations on the Islands of Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi for Base Period 1984–2013."}],"country":"United States","state":"Hawaiʻi","otherGeospatial":"Hawaiʻi, Kauaʻi, Maui, Molokaʻi, Oʻahu","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.9234619140625, 19.12440952808487 ], [ -155.90972900390625, 19.19186565046399 ], [ -155.89324951171875, 19.25670124894847 ], [ -155.8905029296875, 19.32669491605546 ], [ -155.90972900390625, 19.394067895396628 ], [ -155.92071533203125, 19.432924246022402 ], [ -155.9564208984375, 19.487307518564272 ], [ -155.9674072265625, 19.541672530926927 ], [ -155.9783935546875, 19.601194161263145 ], [ -155.99761962890625, 19.632240190483856 ], [ -156.02508544921875, 19.642587534013046 ], [ -156.0333251953125, 19.676211792974332 ], [ -156.0552978515625, 19.72534224805787 ], [ -156.0498046875, 19.751194318940865 ], [ -156.04705810546875, 19.777042202225964 ], [ -156.0113525390625, 19.82097398030796 ], [ -155.9619140625, 19.849393958422805 ], [ -155.9234619140625, 19.862310448664587 ], [ -155.89874267578125, 19.91913050246103 ], [ -155.87127685546872, 19.95527809397557 ], [ -155.84106445312497, 19.986255155382313 ], [ -155.82183837890625, 20.022387362780314 ], [ -155.84381103515625, 20.05593126519445 ], [ -155.86578369140625, 20.084308968998194 ], [ -155.88226318359375, 20.12299755620777 ], [ -155.90972900390625, 20.190035095822584 ], [ -155.89599609375, 20.236428815882984 ], [ -155.86578369140625, 20.267350272759373 ], [ -155.8135986328125, 20.262197124246534 ], [ -155.75042724609375, 20.228697489928166 ], [ -155.73394775390625, 20.208078741507403 ], [ -155.60211181640625, 20.12299755620777 ], [ -155.56365966796875, 20.128155311797183 ], [ -155.51971435546875, 20.125576455270583 ], [ -155.4620361328125, 20.1023648329449 ], [ -155.40435791015622, 20.079149768485742 ], [ -155.3082275390625, 20.030128899024707 ], [ -155.25604248046875, 19.993998469485504 ], [ -155.19287109375, 19.95785974817016 ], [ -155.137939453125, 19.903636146415863 ], [ -155.0885009765625, 19.846810534206607 ], [ -155.09674072265625, 19.810638182504203 ], [ -155.0885009765625, 19.72534224805787 ], [ -155.050048828125, 19.73826880666261 ], [ -154.99786376953125, 19.733098308747795 ], [ -154.98138427734375, 19.686556300019273 ], [ -154.9786376953125, 19.632240190483856 ], [ -154.94842529296875, 19.621892180319374 ], [ -154.9456787109375, 19.6037815593266 ], [ -154.88800048828125, 19.559790136497398 ], [ -154.81109619140622, 19.520964205879825 ], [ -154.8193359375, 19.482128945320483 ], [ -154.86602783203125, 19.430334111637887 ], [ -154.9237060546875, 19.394067895396628 ], [ -154.9786376953125, 19.35001948171315 ], [ -155.0390625, 19.321511226817176 ], [ -155.0830078125, 19.303367019780328 ], [ -155.12969970703125, 19.27744323287618 ], [ -155.1763916015625, 19.26188699098168 ], [ -155.20660400390625, 19.254108316440036 ], [ -155.24780273437497, 19.267072569005556 ], [ -155.269775390625, 19.27744323287618 ], [ -155.29998779296875, 19.251515342943254 ], [ -155.32745361328125, 19.235956641468505 ], [ -155.34942626953125, 19.21261582506195 ], [ -155.379638671875, 19.194459565404916 ], [ -155.40985107421875, 19.178895462707946 ], [ -155.445556640625, 19.152952023808638 ], [ -155.49224853515625, 19.132194334419058 ], [ -155.52520751953125, 19.095862101042627 ], [ -155.54718017578125, 19.07509724212452 ], [ -155.533447265625, 19.062117883514667 ], [ -155.577392578125, 19.028366797457245 ], [ -155.599365234375, 18.966039089744722 ], [ -155.6158447265625, 18.96344159561895 ], [ -155.63781738281247, 18.94006232819142 ], [ -155.67901611328125, 18.9140815245205 ], [ -155.6927490234375, 18.93746442964186 ], [ -155.72296142578125, 18.95824648598139 ], [ -155.753173828125, 18.968636543402212 ], [ -155.79986572265625, 19.007593488871 ], [ -155.82733154296875, 19.02057711096681 ], [ -155.88226318359375, 19.036156118717347 ], [ -155.89599609375, 19.06471383653978 ], [ -155.9234619140625, 19.12440952808487 ] ] ] } }, { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.46728515625, 20.894739516479788 ], [ -156.4288330078125, 20.910134481692673 ], [ -156.37664794921875, 20.92809327710346 ], [ -156.33544921875, 20.940919670394646 ], [ -156.280517578125, 20.943484817224157 ], [ -156.236572265625, 20.940919670394646 ], [ -156.18438720703122, 20.89217353537473 ], [ -156.15692138671875, 20.863944849076905 ], [ -156.1322021484375, 20.866511312458336 ], [ -156.11572265625, 20.830576839382122 ], [ -156.08551025390625, 20.833143872039916 ], [ -156.0662841796875, 20.822875478868433 ], [ -156.02783203124997, 20.802336592979056 ], [ -155.994873046875, 20.77922700256325 ], [ -155.98663330078125, 20.750977144077833 ], [ -155.98663330078125, 20.712446104478243 ], [ -155.99761962890625, 20.681614215933056 ], [ -156.0223388671875, 20.671335527266795 ], [ -156.038818359375, 20.648205934292633 ], [ -156.0772705078125, 20.64306554672647 ], [ -156.10748291015625, 20.632784250388028 ], [ -156.13769531249997, 20.617361003397736 ], [ -156.17340087890625, 20.619931653069703 ], [ -156.192626953125, 20.627643341686756 ], [ -156.2420654296875, 20.612219573881042 ], [ -156.2860107421875, 20.58136735381001 ], [ -156.3189697265625, 20.586509823997716 ], [ -156.3629150390625, 20.57879605371868 ], [ -156.39312744140625, 20.586509823997716 ], [ -156.42608642578125, 20.5967942442688 ], [ -156.4453125, 20.619931653069703 ], [ -156.4508056640625, 20.64306554672647 ], [ -156.44256591796875, 20.676474958588866 ], [ -156.44256591796875, 20.709877019887912 ], [ -156.45904541015625, 20.73556590521865 ], [ -156.4617919921875, 20.77922700256325 ], [ -156.4892578125, 20.797201434307 ], [ -156.5057373046875, 20.78693059257028 ], [ -156.5386962890625, 20.771523019513374 ], [ -156.57989501953125, 20.79463378941528 ], [ -156.6156005859375, 20.80747157680652 ], [ -156.65679931640625, 20.843411564986447 ], [ -156.68426513671875, 20.8870414415731 ], [ -156.69525146484375, 20.912700155617568 ], [ -156.68701171875, 20.94604992010052 ], [ -156.66778564453122, 20.992214250886114 ], [ -156.64031982421875, 21.01529106744792 ], [ -156.61285400390625, 21.022982546427436 ], [ -156.59088134765625, 21.035800796222002 ], [ -156.56890869140625, 21.017854937856118 ], [ -156.5386962890625, 20.99734274071184 ], [ -156.522216796875, 20.97426314957793 ], [ -156.500244140625, 20.93578924489374 ], [ -156.46728515625, 20.894739516479788 ] ] ] } }, { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -157.0770263671875, 21.103719096296263 ], [ -157.0989990234375, 21.102437906153835 ], [ -157.13470458984372, 21.09475053314019 ], [ -157.15530395507812, 21.089625396733947 ], [ -157.17864990234375, 21.089625396733947 ], [ -157.20748901367188, 21.088344085004397 ], [ -157.247314453125, 21.08578142839556 ], [ -157.27478027343747, 21.09090669741285 ], [ -157.30224609375, 21.09475053314019 ], [ -157.313232421875, 21.102437906153835 ], [ -157.30361938476562, 21.112687117676757 ], [ -157.2967529296875, 21.130621534363144 ], [ -157.2857666015625, 21.147272978868727 ], [ -157.26516723632812, 21.16264188178014 ], [ -157.25143432617188, 21.17672864097083 ], [ -157.247314453125, 21.193374899371197 ], [ -157.2528076171875, 21.206178437692508 ], [ -157.26242065429688, 21.21642046916312 ], [ -157.25418090820312, 21.224101526391568 ], [ -157.247314453125, 21.220261047755002 ], [ -157.2308349609375, 21.220261047755002 ], [ -157.21435546875, 21.220261047755002 ], [ -157.203369140625, 21.21642046916312 ], [ -157.19650268554685, 21.207458730482653 ], [ -157.17453002929688, 21.206178437692508 ], [ -157.15118408203122, 21.198496447867058 ], [ -157.14019775390625, 21.199776807250093 ], [ -157.1099853515625, 21.195935695810785 ], [ -157.08114624023438, 21.192094484509024 ], [ -157.06329345703125, 21.188253173359485 ], [ -157.03720092773438, 21.188253173359485 ], [ -157.0111083984375, 21.184411762376826 ], [ -156.99600219726562, 21.181850766266123 ], [ -156.99050903320312, 21.186972714123776 ], [ -156.98226928710938, 21.199776807250093 ], [ -156.97677612304688, 21.211299542246586 ], [ -156.9671630859375, 21.210019282760232 ], [ -156.95892333984375, 21.199776807250093 ], [ -156.94793701171872, 21.17672864097083 ], [ -156.89712524414062, 21.16264188178014 ], [ -156.8792724609375, 21.16264188178014 ], [ -156.84356689453125, 21.166483858206583 ], [ -156.81060791015625, 21.175448081926465 ], [ -156.796875, 21.17032573488307 ], [ -156.77764892578125, 21.17672864097083 ], [ -156.76116943359372, 21.175448081926465 ], [ -156.7364501953125, 21.17672864097083 ], [ -156.73370361328125, 21.161361200807214 ], [ -156.71035766601562, 21.161361200807214 ], [ -156.71310424804685, 21.14343050391292 ], [ -156.72958374023435, 21.12421663450093 ], [ -156.75018310546875, 21.103719096296263 ], [ -156.7762756347656, 21.081937360616084 ], [ -156.8023681640625, 21.066560095381984 ], [ -156.84494018554688, 21.051181240269383 ], [ -156.85455322265622, 21.05502610304706 ], [ -156.88064575195312, 21.040927787394494 ], [ -156.895751953125, 21.051181240269383 ], [ -156.91909790039062, 21.056307701901847 ], [ -156.96441650390625, 21.065278584834115 ], [ -157.00698852539062, 21.078093193410247 ], [ -157.03033447265625, 21.09090669741285 ], [ -157.04132080078122, 21.097313035028527 ], [ -157.0770263671875, 21.103719096296263 ] ] ] } }, { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -159.50775146484375, 22.203934867884968 ], [ -159.49813842773438, 22.217920166311025 ], [ -159.4940185546875, 22.23063286414865 ], [ -159.4775390625, 22.23190407053973 ], [ -159.45281982421875, 22.2280904167845 ], [ -159.43222045898438, 22.22046279807357 ], [ -159.4171142578125, 22.2280904167845 ], [ -159.40338134765625, 22.235717620542733 ], [ -159.3896484375, 22.2280904167845 ], [ -159.38552856445312, 22.217920166311025 ], [ -159.36492919921872, 22.214106132251313 ], [ -159.35531616210938, 22.217920166311025 ], [ -159.334716796875, 22.200120453710106 ], [ -159.32373046875, 22.189948175955898 ], [ -159.31411743164062, 22.18486176080259 ], [ -159.312744140625, 22.174688378110634 ], [ -159.3072509765625, 22.14543580243242 ], [ -159.29489135742188, 22.150523643792884 ], [ -159.29489135742188, 22.126354759919685 ], [ -159.2962646484375, 22.1098157661347 ], [ -159.30587768554688, 22.09709214320842 ], [ -159.30862426757812, 22.081822281356413 ], [ -159.31823730468747, 22.074186731191713 ], [ -159.31961059570312, 22.05382324687266 ], [ -159.33746337890625, 22.044913300245675 ], [ -159.334716796875, 22.001628438498244 ], [ -159.32785034179688, 21.954509307376284 ], [ -159.35394287109375, 21.937950226141936 ], [ -159.37179565429688, 21.923937190109623 ], [ -159.38690185546875, 21.9061004218784 ], [ -159.41436767578125, 21.888261420481548 ], [ -159.44869995117188, 21.8678712576851 ], [ -159.4720458984375, 21.880615450905726 ], [ -159.51187133789062, 21.88443848692486 ], [ -159.53109741210938, 21.88571280949585 ], [ -159.5832824707031, 21.89463274867617 ], [ -159.60250854492188, 21.89718120023509 ], [ -159.62722778320312, 21.89718120023509 ], [ -159.64645385742188, 21.917567172190736 ], [ -159.6533203125, 21.937950226141936 ], [ -159.67254638671875, 21.954509307376284 ], [ -159.69863891601562, 21.957056687158097 ], [ -159.72061157226562, 21.968519331082312 ], [ -159.7467041015625, 21.976160579842333 ], [ -159.76181030273438, 21.97998105002283 ], [ -159.77554321289062, 22.001628438498244 ], [ -159.78103637695312, 22.0118143016734 ], [ -159.7865295410156, 22.02963780070074 ], [ -159.78515624999997, 22.05000476703649 ], [ -159.78378295898438, 22.062732632214924 ], [ -159.774169921875, 22.076731960438295 ], [ -159.7576904296875, 22.089457418733065 ], [ -159.73846435546872, 22.108543455483815 ], [ -159.7357177734375, 22.12508259852191 ], [ -159.7247314453125, 22.14543580243242 ], [ -159.70138549804688, 22.159426923610894 ], [ -159.68490600585938, 22.163242442497815 ], [ -159.642333984375, 22.18486176080259 ], [ -159.61898803710938, 22.201391936617412 ], [ -159.59701538085938, 22.212834764522576 ], [ -159.58465576171875, 22.2217340966701 ], [ -159.5668029785156, 22.223005383742795 ], [ -159.55718994140625, 22.22681917581246 ], [ -159.54620361328125, 22.22681917581246 ], [ -159.54483032226562, 22.217920166311025 ], [ -159.52972412109375, 22.22046279807357 ], [ -159.50775146484375, 22.203934867884968 ] ] ] } }, { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -158.28140258789062, 21.574441859009664 ], [ -158.23745727539062, 21.5808271136885 ], [ -158.20724487304688, 21.58210413085203 ], [ -158.17428588867188, 21.58465813140257 ], [ -158.126220703125, 21.585935114788498 ], [ -158.10836791992188, 21.59487368317261 ], [ -158.10699462890625, 21.60381169962015 ], [ -158.06991577148435, 21.633175579588894 ], [ -158.06304931640625, 21.651046324540445 ], [ -158.04107666015625, 21.682952865478285 ], [ -158.016357421875, 21.696989506415143 ], [ -157.99713134765625, 21.70719711328147 ], [ -157.97653198242185, 21.71357649998363 ], [ -157.95867919921875, 21.700817443805004 ], [ -157.94219970703125, 21.682952865478285 ], [ -157.92709350585938, 21.65998086747517 ], [ -157.91610717773438, 21.64849349639198 ], [ -157.92022705078125, 21.62934584655107 ], [ -157.90786743164062, 21.608918889711333 ], [ -157.89413452148438, 21.59870432924491 ], [ -157.88726806640625, 21.587212086914178 ], [ -157.87765502929688, 21.5731647743054 ], [ -157.8790283203125, 21.557838880123953 ], [ -157.86666870117188, 21.564224866267914 ], [ -157.8460693359375, 21.55272988873275 ], [ -157.8364562988281, 21.53484700204879 ], [ -157.8364562988281, 21.51185148258817 ], [ -157.84881591796875, 21.50546319248144 ], [ -157.84332275390625, 21.491407966408477 ], [ -157.84332275390625, 21.460737306938082 ], [ -157.81723022460938, 21.454346773409664 ], [ -157.8021240234375, 21.428781838714336 ], [ -157.78427124023438, 21.419833053493488 ], [ -157.77328491210938, 21.422389905231366 ], [ -157.763671875, 21.433895184007337 ], [ -157.77328491210938, 21.442843107187667 ], [ -157.77740478515625, 21.45945922264566 ], [ -157.763671875, 21.460737306938082 ], [ -157.7471923828125, 21.45562490252753 ], [ -157.7362060546875, 21.46457149256698 ], [ -157.7197265625, 21.47735138264276 ], [ -157.72109985351562, 21.45945922264566 ], [ -157.73208618164062, 21.446677763415938 ], [ -157.73757934570312, 21.43517349234091 ], [ -157.73895263671875, 21.423668314313243 ], [ -157.74444580078125, 21.415997691959365 ], [ -157.73483276367188, 21.405769568930907 ], [ -157.7252197265625, 21.39937662852242 ], [ -157.708740234375, 21.387868631374886 ], [ -157.7032470703125, 21.37763854052792 ], [ -157.70599365234375, 21.361013117950915 ], [ -157.69500732421875, 21.335431860495554 ], [ -157.66479492187497, 21.32008096400822 ], [ -157.64419555664062, 21.311125532962258 ], [ -157.6496887207031, 21.299610604945617 ], [ -157.67166137695312, 21.284255964050555 ], [ -157.686767578125, 21.27145920527429 ], [ -157.70050048828125, 21.25866133371466 ], [ -157.7142333984375, 21.25866133371466 ], [ -157.71011352539062, 21.27145920527429 ], [ -157.7197265625, 21.27657804234913 ], [ -157.74993896484375, 21.275298349774065 ], [ -157.77191162109375, 21.27017946818464 ], [ -157.79251098632812, 21.25354187363281 ], [ -157.81173706054688, 21.25354187363281 ], [ -157.82272338867188, 21.263780615837838 ], [ -157.82958984375, 21.27657804234913 ], [ -157.84194946289062, 21.282976338263616 ], [ -157.8529357910156, 21.29193348495502 ], [ -157.87078857421875, 21.297051609501963 ], [ -157.88040161132812, 21.304728462151672 ], [ -157.92022705078125, 21.3008900859581 ], [ -157.94494628906247, 21.304728462151672 ], [ -157.96142578124997, 21.317522325157526 ], [ -157.9779052734375, 21.313684283277997 ], [ -158.0108642578125, 21.309846141087203 ], [ -158.04519653320312, 21.3008900859581 ], [ -158.07403564453125, 21.298331112793388 ], [ -158.10012817382812, 21.293213032797848 ], [ -158.11248779296875, 21.30216955583029 ], [ -158.12210083007812, 21.326477366028495 ], [ -158.1330871582031, 21.352060185659077 ], [ -158.13720703125, 21.369965503124217 ], [ -158.14682006835938, 21.380196130286645 ], [ -158.1591796875, 21.390426042327263 ], [ -158.16741943359375, 21.39554073009063 ], [ -158.17840576171875, 21.401933838235177 ], [ -158.17977905273435, 21.422389905231366 ], [ -158.1866455078125, 21.43900835015781 ], [ -158.20175170898438, 21.454346773409664 ], [ -158.21548461914062, 21.46712756027388 ], [ -158.23196411132812, 21.486296638453588 ], [ -158.2305908203125, 21.51440672003028 ], [ -158.23196411132812, 21.53484700204879 ], [ -158.24981689453125, 21.551452612767736 ], [ -158.28140258789062, 21.574441859009664 ] ] ] } } ] }","contact":"<p><a href=\"mailto:dc_hi@usgs.gov\" target=\"_blank\" data-mce-href=\"mailto:dc_hi@usgs.gov\">Director</a>, Pacific Islands Water Science Center<br>U.S. Geological Survey<br>Inouye Regional Center<br>1845 Wasp Blvd., B176<br>Honolulu, HI 96818<br><a href=\"http://hi.water.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://hi.water.usgs.gov/\">http://hi.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Description of the Study Area</li>\n<li>Data</li>\n<li>Methods</li>\n<li>Results and Discussion</li>\n<li>Additional Data Collection</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Appendixes 1-2</li>\n</ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-08-03","noUsgsAuthors":false,"publicationDate":"2016-08-03","publicationStatus":"PW","scienceBaseUri":"57a307a8e4b006cb455561b3","contributors":{"authors":[{"text":"Cheng, Chui Ling 0000-0003-2396-2571 ccheng@usgs.gov","orcid":"https://orcid.org/0000-0003-2396-2571","contributorId":3926,"corporation":false,"usgs":true,"family":"Cheng","given":"Chui","email":"ccheng@usgs.gov","middleInitial":"Ling","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642999,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175280,"text":"70175280 - 2016 - Changes in groundwater recharge under projected climate in the upper Colorado River basin","interactions":[],"lastModifiedDate":"2016-08-03T16:38:28","indexId":"70175280","displayToPublicDate":"2016-08-03T17:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Changes in groundwater recharge under projected climate in the upper Colorado River basin","docAbstract":"<p>Understanding groundwater-budget components, particularly groundwater recharge, is important to sustainably manage both groundwater and surface water supplies in the Colorado River basin now and in the future. This study quantifies projected changes in upper Colorado River basin (UCRB) groundwater recharge from recent historical (1950&ndash;2015) through future (2016&ndash;2099) time periods, using a distributed-parameter groundwater recharge model with downscaled climate data from 97 Coupled Model Intercomparison Project Phase 5 climate projections. Simulated future groundwater recharge in the UCRB is generally expected to be greater than the historical average in most decades. Increases in groundwater recharge in the UCRB are a consequence of projected increases in precipitation, offsetting reductions in recharge that would result from projected increased temperatures.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL069714","usgsCitation":"Tillman, F.D., Gangopadhyay, S., and Pruitt, T., 2016, Changes in groundwater recharge under projected climate in the upper Colorado River basin: Geophysical Research Letters, v. 43, no. 13, p. 6968-6974, https://doi.org/10.1002/2016GL069714.","productDescription":"7 p.","startPage":"6968","endPage":"6974","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075002","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":326086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.95068359374999,\n              36.527294814546245\n            ],\n            [\n              -111.95068359374999,\n              42.032974332441405\n            ],\n            [\n              -106.3916015625,\n              42.032974332441405\n            ],\n            [\n              -106.3916015625,\n              36.527294814546245\n            ],\n            [\n              -111.95068359374999,\n              36.527294814546245\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"13","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-08","publicationStatus":"PW","scienceBaseUri":"57a307a7e4b006cb455561ad","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":644665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":644666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pruitt, Tom 0000-0002-3543-1324","orcid":"https://orcid.org/0000-0002-3543-1324","contributorId":173440,"corporation":false,"usgs":false,"family":"Pruitt","given":"Tom","email":"","affiliations":[{"id":27228,"text":"Reclamation","active":true,"usgs":false}],"preferred":false,"id":644667,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173919,"text":"ofr20161100 - 2016 - Preliminary results from exploratory sampling of wells for the California oil, gas, and groundwater program, 2014–15","interactions":[],"lastModifiedDate":"2017-02-07T15:35:55","indexId":"ofr20161100","displayToPublicDate":"2016-08-03T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1100","title":"Preliminary results from exploratory sampling of wells for the California oil, gas, and groundwater program, 2014–15","docAbstract":"<h1>Introduction</h1>\n<p>In 2014 and 2015, the U.S.&nbsp;Geological Survey (USGS) sampled&nbsp;water wells in the Los Angeles Basin and&nbsp;southern San Joaquin Valley, California,&nbsp;and oil wells in the San Joaquin Valley&nbsp;for analysis of multiple chemical,&nbsp;isotopic, and groundwater-age tracers. The purpose of this reconnaissance&nbsp;sampling was to evaluate the&nbsp;utility of tracers for assessing the effects&nbsp;of oil and gas production activities on&nbsp;groundwater quality in California. The study was done in cooperation with the&nbsp;California State Water Resources Control&nbsp;Board.&nbsp;Results of the study are intended&nbsp;to help design a regional groundwater-monitoring&nbsp;program to be implemented&nbsp;as part of California Senate Bill 4 (SB 4&nbsp;statutes of 2013). The regional monitoring&nbsp;program plans to assess the effects&nbsp;of oil and gas production activities on&nbsp;groundwater quality and to provide a&nbsp;regional context for local monitoring&nbsp;of the groundwater-quality effects from&nbsp;well-stimulation treatments, which are&nbsp;techniques used to improve oil and gas&nbsp;production by increasing their rate of&nbsp;flow to the well. California SB 4 mandates&nbsp;that this local monitoring is to be&nbsp;done by oil-well operators in accordance&nbsp;with monitoring criteria established by&nbsp;the State Water Board.</p>\n<p>This report evaluates the utility&nbsp;of the chemical, isotopic, and groundwater-age tracers for assessing sources&nbsp;of salinity, methane, and petroleum&nbsp;hydrocarbons in groundwater overlying&nbsp;or near several California oil fields.&nbsp;Tracers of dissolved organic carbon in<br />oil-field-formation water are also discussed.&nbsp;Tracer data for samples collected&nbsp;from 51 water wells and 4 oil wells are&nbsp;examined.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161100","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"McMahon, P.B., Kulongoski, J.T., Wright, M.T., Land, M.T., Landon, M.K., Cozzarelli, I.M., Vengosh, Avner, and Aiken, G.R., 2017, Preliminary results from exploratory sampling of wells for the California oil, gas, and groundwater program, 2014–15 (ver 1.1, January 2017): U.S. Geological Survey Open-File Report 2016–1100, 8 p., https://dx.doi.org/10.3133/ofr20161100.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-072861","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":438577,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XG9P83","text":"USGS data release","linkHelpText":"Produced water chemistry for samples from four petroleum wells, southern San Joaquin Valley, California, 2014"},{"id":334914,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1100/coverthb2.jpg"},{"id":325846,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1100/ofr20161100.pdf","text":"Report","size":"894 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1100 Report PDF"},{"id":334516,"rank":2,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2016/1100/versionHist.txt","text":"Version History","size":"1 kB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2016–1100 Version History"}],"country":"United States","state":"California","otherGeospatial":"Los Angeles Basin, San Joaquin Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118,\n              33.5\n            ],\n            [\n              -118,\n              34.5\n            ],\n            [\n              -118.5,\n              34.5\n            ],\n            [\n              -118.5,\n              33.5\n            ],\n            [\n              -118,\n              33.5\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.5,\n              36.2\n            ],\n            [\n              -120.5,\n              35\n            ],\n            [\n              -118.5,\n              35\n            ],\n            [\n              -118.5,\n              36.2\n            ],\n            [\n              -120.5,\n              36.2\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted August 3, 2016; Version 1.1: January 31, 2017","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>, California Water Science Center<br>U.S. Geological Survey<br>6000 J Street, Placer Hall<br>Sacramento, California 95819<br><a href=\"http://ca.water.usgs.gov/\" data-mce-href=\"http://ca.water.usgs.gov/\">http://ca.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Introduction</li>\n<li>Sample Collection and Analysis</li>\n<li>Tracers of Salinity in Groundwater</li>\n<li>Tracers of Methane in Groundwater</li>\n<li>Tracers of Petroleum Hydrocarbons in Groundwater</li>\n<li>Tracers of Dissolved Organic Carbon in Oil-Field-Formation Water</li>\n<li>Conclusion</li>\n<li>Acknowledgements</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2016-08-03","revisedDate":"2017-01-31","noUsgsAuthors":false,"publicationDate":"2016-08-03","publicationStatus":"PW","scienceBaseUri":"57a307a9e4b006cb455561b5","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":639163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":156272,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":639164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Michael T. 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":1508,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":false,"id":639165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Land, Michael T. 0000-0001-5141-0307 mtland@usgs.gov","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":173276,"corporation":false,"usgs":true,"family":"Land","given":"Michael","email":"mtland@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":639166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":639167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":639168,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vengosh, Avner","contributorId":21842,"corporation":false,"usgs":true,"family":"Vengosh","given":"Avner","affiliations":[],"preferred":false,"id":639169,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":639170,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70175164,"text":"ds1007 - 2016 - Coastal bathymetry data collected in June 2014 from Fire Island, New York—The wilderness breach and shoreface","interactions":[],"lastModifiedDate":"2017-09-18T11:08:10","indexId":"ds1007","displayToPublicDate":"2016-08-02T15:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1007","title":"Coastal bathymetry data collected in June 2014 from Fire Island, New York—The wilderness breach and shoreface","docAbstract":"<p>Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the shoreface along Fire Island and model the evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B. During this study, bathymetry was collected with single-beam echo sounders and global positioning systems, mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry was collected using backpack global positioning systems along the flood shoals and shallow channels within the wilderness breach.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1007","usgsCitation":"Nelson, T.R., Miselis, J.L., Hapke, C.J., Wilson, K.E., Henderson, R.E., Brenner, O.T., Reynolds, B.J., and Hansen, M.E., 2016, Coastal bathymetry data collected in June 2014 from Fire Island, New York—The wilderness breach and shoreface: U.S. Geological Survey Data Series 1007, https://dx.doi.org/10.3133/ds1007.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-071019","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":325940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":325903,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1007"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.35,\n              40.875\n            ],\n            [\n              -73.35,\n              40.6\n            ],\n            [\n              -72.7,\n              40.6\n            ],\n            [\n              -72.7,\n              40.875\n            ],\n            [\n              -73.35,\n              40.875\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>St. Petersburg Coastal and Marine Science Center<br> U.S. Geological Survey<br> 600 4th Street South<br> St. Petersburg, FL 33701<br> (727) 502-8000<br> <a href=\"http://coastal.er.usgs.gov\" data-mce-href=\"http://coastal.er.usgs.gov\">http://coastal.er.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Project Summary</li><li>Survey Overview</li><li>Data Acquisition</li><li>Data Processing</li><li>Data Downloads</li><li>References Cited</li><li>Abbreivations</li></ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-08-02","noUsgsAuthors":false,"publicationDate":"2016-08-02","publicationStatus":"PW","scienceBaseUri":"57a1b626e4b006cb4554b6c5","contributors":{"authors":[{"text":"Nelson, Timothy R. 0000-0002-5005-7617 trnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-5005-7617","contributorId":5814,"corporation":false,"usgs":true,"family":"Nelson","given":"Timothy R.","email":"trnelson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":644173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":644174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":644175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Kathleen E. kwilson@usgs.gov","contributorId":5788,"corporation":false,"usgs":true,"family":"Wilson","given":"Kathleen","email":"kwilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":644176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henderson, Rachel E. rehenderson@usgs.gov","contributorId":172830,"corporation":false,"usgs":true,"family":"Henderson","given":"Rachel E.","email":"rehenderson@usgs.gov","affiliations":[],"preferred":false,"id":644177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brenner, Owen T. obrenner@usgs.gov","contributorId":172832,"corporation":false,"usgs":true,"family":"Brenner","given":"Owen","email":"obrenner@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":false,"id":644179,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reynolds, Billy J. breynolds@usgs.gov","contributorId":172831,"corporation":false,"usgs":true,"family":"Reynolds","given":"Billy J.","email":"breynolds@usgs.gov","affiliations":[],"preferred":false,"id":644178,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hansen, Mark E. mhansen@usgs.gov","contributorId":172833,"corporation":false,"usgs":true,"family":"Hansen","given":"Mark","email":"mhansen@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":644180,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70171250,"text":"ofr20161069 - 2016 - Analysis of seafloor change at Breton Island, Gosier Shoals, and surrounding waters, 1869–2014, Breton National Wildlife Refuge, Louisiana","interactions":[],"lastModifiedDate":"2016-08-05T16:03:06","indexId":"ofr20161069","displayToPublicDate":"2016-08-01T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1069","title":"Analysis of seafloor change at Breton Island, Gosier Shoals, and surrounding waters, 1869–2014, Breton National Wildlife Refuge, Louisiana","docAbstract":"<p>Characterizing bathymetric change in coastal environments is an important component in understanding shoreline evolution, especially along barrier island platforms. Bathymetric change is a function of the regional sediment budget, long-term wave and current patterns, and episodic impact from high-energy events such as storms. Human modifications may also cause changes in seafloor elevation. This study, conducted by the U.S. Geological Survey in collaboration with the U.S. Fish and Wildlife Service, evaluates bathymetric and volumetric change and sediment characteristics around Breton Island and Gosier Shoals located offshore of the Mississippi River Delta in Louisiana. This area has been affected by significant storm events such as Hurricane Katrina in 2005. Sedimentation patterns at Breton Island and offshore have also been modified by the excavation of a shipping channel north of the island. Four time periods are considered that encompass these episodes and include long-term change and short-term storm recovery: 1869&ndash;2014, 1869&ndash;1920, 1920&ndash;2014, and 2007&ndash;2014. Finally, sediment characteristics are reported in the context of seafloor elevation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161069","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Flocks, J.G., and Terrano, J.F., 2016, Analysis of seafloor change at Breton Island, Gosier Shoals, and surrounding waters, 1869–2014, Breton National Wildlife Refuge, Louisiana: U.S. Geological Survey Open-File Report 2016–1069, 27 p., https://dx.doi.org/10.3133/ofr20161069.","productDescription":"Report: vi, 27 p.; Data Releases","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073884","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":324961,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/ds1005","text":"Data Series 1005","description":"OFR 2016-1069","linkHelpText":"Archive of Bathymetry and Backscatter Data Collected in 2014 Nearshore Breton and Gosier Islands, Breton National Wildlife Refuge, Louisiana"},{"id":324963,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7XS5SGM","text":"USGS data release - A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for Breton Island, Louisiana: 1869–2014","description":"OFR 2016-1069"},{"id":324960,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://dx.doi.org/10.3133/ofr20161039","text":"Open-File Report 2016–1039","description":"OFR 2016-1069","linkHelpText":"Analysis of shoreline and geomorphic change for Breton Island, Louisiana, from 1869 to 2014"},{"id":324962,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F70G3H6G","text":"USGS data release - Topobathymetric Lidar Survey of Breton and Gosier Islands, Louisiana, January 16 and 18, 2014","description":"OFR 2016-1069"},{"id":324958,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1069/coverthb.jpg"},{"id":324959,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1069/ofr20161069.pdf","text":"Report","size":"7.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1069"}],"country":"United States","state":"Louisana","otherGeospatial":"Breton Island, Breton National Wildlife Refuge, Gosier Shoals","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.07234191894531,\n              29.471883455244765\n            ],\n            [\n              -88.98994445800781,\n              29.538216607905866\n            ],\n            [\n              -89.07096862792969,\n              29.614057949691468\n            ],\n            [\n              -89.31060791015624,\n              29.44438130948883\n            ],\n            [\n              -89.22477722167967,\n              29.361231724636678\n            ],\n            [\n              -89.19525146484375,\n              29.38576493113888\n            ],\n            [\n              -89.14581298828125,\n              29.387559811639232\n            ],\n            [\n              -89.10804748535155,\n              29.352254684201622\n            ],\n            [\n              -89.0826416015625,\n              29.369011186354562\n            ],\n            [\n              -89.07920837402344,\n              29.39952487234379\n            ],\n            [\n              -89.05654907226562,\n              29.4186660412453\n            ],\n            [\n              -89.05517578125,\n              29.44916482692468\n            ],\n            [\n              -89.07234191894531,\n              29.471883455244765\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, St. Petersburg Coastal and Marine Science Center<br /> U.S. Geological Survey<br /> 600 4th Street South<br /> St. Petersburg, FL 33701<br /> (727) 502&ndash;8000<br /> <a href=\"http://coastal.er.usgs.gov\">http://coastal.er.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Acknowledgments</li>\n<li>Abstract&nbsp;</li>\n<li>Introduction&nbsp;</li>\n<li>Methods</li>\n<li>Results and Discussion</li>\n<li>Conclusions</li>\n<li>References Cited&nbsp;</li>\n</ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-08-01","noUsgsAuthors":false,"publicationDate":"2016-08-01","publicationStatus":"PW","scienceBaseUri":"57a064a4e4b060ce18fae6ea","contributors":{"authors":[{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":630356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terrano, Joseph F. jterrano@usgs.gov","contributorId":150185,"corporation":false,"usgs":true,"family":"Terrano","given":"Joseph","email":"jterrano@usgs.gov","middleInitial":"F.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":630357,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175625,"text":"70175625 - 2016 - The international river interface cooperative: Public domain flow and morphodynamics software for education and applications","interactions":[],"lastModifiedDate":"2016-08-17T14:02:50","indexId":"70175625","displayToPublicDate":"2016-08-01T01:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"The international river interface cooperative: Public domain flow and morphodynamics software for education and applications","docAbstract":"<p>This paper describes a new, public-domain interface for modeling flow, sediment transport and morphodynamics in rivers and other geophysical flows. The interface is named after the International River Interface Cooperative (iRIC), the group that constructed the interface and many of the current solvers included in iRIC. The interface is entirely free to any user and currently houses thirteen models ranging from simple one-dimensional models through three-dimensional large-eddy simulation models. Solvers are only loosely coupled to the interface so it is straightforward to modify existing solvers or to introduce other solvers into the system. Six of the most widely-used solvers are described in detail including example calculations to serve as an aid for users choosing what approach might be most appropriate for their own applications. The example calculations range from practical computations of bed evolution in natural rivers to highly detailed predictions of the development of small-scale bedforms on an initially flat bed. The remaining solvers are also briefly described. Although the focus of most solvers is coupled flow and morphodynamics, several of the solvers are also specifically aimed at providing flood inundation predictions over large spatial domains. Potential users can download the application, solvers, manuals, and educational materials including detailed tutorials at <span id=\"interref0001\" class=\"interref\" data-locatortype=\"url\" data-locatorkey=\"http://www.-i-ric.org\"><a class=\"cExLink\" href=\"http://www.-i-ric.org/\" target=\"externObjLink\" data-itrprs=\"Y\" data-url=\"/science/RedirectURL?_method=externObjLink&amp;_locator=url&amp;_cdi=271718&amp;_issn=03091708&amp;_origin=article&amp;_zone=art_page&amp;_targetURL=http%253A%252F%252Fwww.-i-ric.org\">www.-i-ric.org</a></span>. The iRIC development group encourages scientists and engineers to use the tool and to consider adding their own methods to the iRIC suite of tools.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2015.09.017","usgsCitation":"Nelson, J.M., Shimizu, Y., Abe, T., Asahi, K., Gamou, M., Inoue, T., Iwasaki, T., Kakinuma, T., Kawamura, S., Kimura, I., Kyuka, T., McDonald, R.R., Nabi, M., Nakatsugawa, M., Simoes, F.J., Takebayashi, H., and Watanabe, Y., 2016, The international river interface cooperative: Public domain flow and morphodynamics software for education and applications: Advances in Water Resources, v. 93, p. 62-74, https://doi.org/10.1016/j.advwatres.2015.09.017.","productDescription":"13 p.","startPage":"62","endPage":"74","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069247","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":326721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b58b6ee4b03bcb0104bca2","contributors":{"authors":[{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":645865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shimizu, Yasuyuki","contributorId":173790,"corporation":false,"usgs":false,"family":"Shimizu","given":"Yasuyuki","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abe, Takaaki","contributorId":173791,"corporation":false,"usgs":false,"family":"Abe","given":"Takaaki","email":"","affiliations":[{"id":27295,"text":"Civil Engineering Research Institute, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Asahi, Kazutake","contributorId":173792,"corporation":false,"usgs":false,"family":"Asahi","given":"Kazutake","email":"","affiliations":[{"id":27296,"text":"River Link Corporation, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":645868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gamou, Mineyuki","contributorId":173793,"corporation":false,"usgs":false,"family":"Gamou","given":"Mineyuki","email":"","affiliations":[{"id":27297,"text":"Gamou Intelligent Technology, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":645869,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Inoue, Takuya","contributorId":173794,"corporation":false,"usgs":false,"family":"Inoue","given":"Takuya","email":"","affiliations":[{"id":27295,"text":"Civil Engineering Research Institute, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645870,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Iwasaki, Toshiki","contributorId":173795,"corporation":false,"usgs":false,"family":"Iwasaki","given":"Toshiki","email":"","affiliations":[{"id":17685,"text":"University of Illinois, Champagne-Urbana","active":true,"usgs":false}],"preferred":false,"id":645871,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kakinuma, Takaharu","contributorId":173796,"corporation":false,"usgs":false,"family":"Kakinuma","given":"Takaharu","email":"","affiliations":[{"id":27295,"text":"Civil Engineering Research Institute, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645872,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kawamura, Satomi","contributorId":173797,"corporation":false,"usgs":false,"family":"Kawamura","given":"Satomi","email":"","affiliations":[{"id":27295,"text":"Civil Engineering Research Institute, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645873,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kimura, Ichiro","contributorId":173798,"corporation":false,"usgs":false,"family":"Kimura","given":"Ichiro","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645874,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kyuka, Tomoko","contributorId":173799,"corporation":false,"usgs":false,"family":"Kyuka","given":"Tomoko","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645875,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":645876,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nabi, Mohamed","contributorId":173800,"corporation":false,"usgs":false,"family":"Nabi","given":"Mohamed","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645877,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nakatsugawa, Makoto","contributorId":173801,"corporation":false,"usgs":false,"family":"Nakatsugawa","given":"Makoto","email":"","affiliations":[{"id":27298,"text":"Muroran Institute of Technology, Hokkaido, Japan","active":true,"usgs":false}],"preferred":false,"id":645878,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Simoes, Francisco J. 0000-0002-0934-9730 frsimoes@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-9730","contributorId":2019,"corporation":false,"usgs":true,"family":"Simoes","given":"Francisco","email":"frsimoes@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":645879,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Takebayashi, Hiroshi","contributorId":173802,"corporation":false,"usgs":false,"family":"Takebayashi","given":"Hiroshi","email":"","affiliations":[{"id":27299,"text":"Kyoto University, Kyoto, Japan","active":true,"usgs":false}],"preferred":false,"id":645880,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Watanabe, Yasunori","contributorId":173803,"corporation":false,"usgs":false,"family":"Watanabe","given":"Yasunori","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":645881,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70185063,"text":"70185063 - 2016 - Landscape effects of wildfire on permafrost distribution in interior Alaska derived from remote sensing","interactions":[],"lastModifiedDate":"2018-06-19T19:48:56","indexId":"70185063","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landscape effects of wildfire on permafrost distribution in interior Alaska derived from remote sensing","docAbstract":"<p><span>Climate change coupled with an intensifying wildfire regime is becoming an important driver of permafrost loss and ecosystem change in the northern boreal forest. There is a growing need to understand the effects of fire on the spatial distribution of permafrost and its associated ecological consequences. We focus on the effects of fire a decade after disturbance in a rocky upland landscape in the interior Alaskan boreal forest. Our main objectives were to (1) map near-surface permafrost distribution and drainage classes and (2) analyze the controls over landscape-scale patterns of post-fire permafrost degradation. Relationships among remote sensing variables and field-based data on soil properties (temperature, moisture, organic layer thickness) and vegetation (plant community composition) were analyzed using correlation, regression, and ordination analyses. The remote sensing data we considered included spectral indices from optical datasets (Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Landsat 8 Operational Land Imager (OLI)), the principal components of a time series of radar backscatter (Advanced Land Observing Satellite—Phased Array type L-band Synthetic Aperture Radar (ALOS-PALSAR)), and topographic variables from a Light Detection and Ranging (LiDAR)-derived digital elevation model (DEM). We found strong empirical relationships between the normalized difference infrared index (NDII) and post-fire vegetation, soil moisture, and soil temperature, enabling us to indirectly map permafrost status and drainage class using regression-based models. The thickness of the insulating surface organic layer after fire, a measure of burn severity, was an important control over the extent of permafrost degradation. According to our classifications, 90% of the area considered to have experienced high severity burn (using the difference normalized burn ratio (dNBR)) lacked permafrost after fire. Permafrost thaw, in turn, likely increased drainage and resulted in drier surface soils. Burn severity also influenced plant community composition, which was tightly linked to soil temperature and moisture. Overall, interactions between burn severity, topography, and vegetation appear to control the distribution of near-surface permafrost and associated drainage conditions after disturbance.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs8080654","usgsCitation":"Brown, D.R., Jorgenson, M., Kielland, K., Verbyla, D.L., Prakash, A., and Koch, J.C., 2016, Landscape effects of wildfire on permafrost distribution in interior Alaska derived from remote sensing: Remote Sensing, v. 8, no. 8, p. 1-22, https://doi.org/10.3390/rs8080654.","productDescription":"Article 654; 22 p.","startPage":"1","endPage":"22","ipdsId":"IP-077121","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470694,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs8080654","text":"Publisher Index Page"},{"id":337471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"8","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-12","publicationStatus":"PW","scienceBaseUri":"58c7afa1e4b0849ce9795ea2","contributors":{"authors":[{"text":"Brown, Dana R. N.","contributorId":140386,"corporation":false,"usgs":false,"family":"Brown","given":"Dana","email":"","middleInitial":"R. N.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":684126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jorgenson, M. Torre","contributorId":127675,"corporation":false,"usgs":false,"family":"Jorgenson","given":"M. Torre","affiliations":[],"preferred":false,"id":684127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kielland, Knut","contributorId":189214,"corporation":false,"usgs":false,"family":"Kielland","given":"Knut","email":"","affiliations":[],"preferred":false,"id":684128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verbyla, David L.","contributorId":84611,"corporation":false,"usgs":true,"family":"Verbyla","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":684129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prakash, Anupma","contributorId":189216,"corporation":false,"usgs":false,"family":"Prakash","given":"Anupma","email":"","affiliations":[{"id":13662,"text":"Geophysical Institute, University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":684130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":684125,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}