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The estimates are based on change-detection-mapping analysis that incorporates pre and postlandfall (Hurricanes Katrina, Rita, Gustav, and Ike) fractional-water classifications using a combination of high-resolution (<5 m) QuickBird, IKONOS, and GeoEye-1, and medium-resolution (30 m) Landsat Thematic Mapper satellite imagery. This process was applied in two study areas: the Hackberry area located in the southwestern part of chenier plain that was impacted by Hurricanes Rita (September 24, 2005) and Ike (September 13, 2008), and the Delacroix area located in the eastern delta plain that was impacted by Hurricanes Katrina (August 29, 2005) and Gustav (September 1, 2008). In both areas, effects of the hurricanes include enlargement of existing bodies of open water and erosion of fringing marsh areas. Surge-removed marsh was easily identified in stable marshes but was difficult to identify in degraded or flooded marshes. Persistent land loss in the Hackberry area due to Hurricane Rita was approximately 5.8% and increased by an additional 7.9% due to Hurricane Ike, although this additional area may yet recover. About 80% of the Hackberry study area remained unchanged since 2003. In the Delacroix area, persistent land loss due to Hurricane Katrina measured approximately 4.9% of the study area, while Hurricane Gustav caused minimal impact of 0.6% land loss by November 2009. Continued recovery in this area may further erase Hurricane Gustav's impact in the absence of new storm events.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-009.1","usgsCitation":"Palaseanu-Lovejoy, M., Kranenburg, C., Barras, J., and Brock, J., 2013, Land loss due to recent hurricanes in coastal Louisiana, U.S.A.: Journal of Coastal Research, no. 63, p. 97-109, https://doi.org/10.2112/SI63-009.1.","productDescription":"14 p.","startPage":"97","endPage":"109","numberOfPages":"14","ipdsId":"IP-035278","costCenters":[],"links":[{"id":275192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275191,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-009.1"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.491638,29.75484 ], [ -90.491638,30.071471 ], [ -90.129089,30.071471 ], [ -90.129089,29.75484 ], [ -90.491638,29.75484 ] ] ] } } ] }","issue":"63","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee4656e4b00ffbed48f855","contributors":{"authors":[{"text":"Palaseanu-Lovejoy, Monica 0000-0002-3786-5118 mpal@usgs.gov","orcid":"https://orcid.org/0000-0002-3786-5118","contributorId":3639,"corporation":false,"usgs":true,"family":"Palaseanu-Lovejoy","given":"Monica","email":"mpal@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":481134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kranenburg, Christine J. ckranenburg@usgs.gov","contributorId":3924,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine J.","email":"ckranenburg@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":481135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barras, John A. jbarras@usgs.gov","contributorId":2425,"corporation":false,"usgs":true,"family":"Barras","given":"John A.","email":"jbarras@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":481133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":481132,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047113,"text":"ofr20131124 - 2013 - Topographic and hydrographic GIS datasets for the Afghan Geological Survey and U.S. Geological Survey 2013 mineral areas of interest","interactions":[],"lastModifiedDate":"2013-07-18T15:35:59","indexId":"ofr20131124","displayToPublicDate":"2013-07-18T15:27:00","publicationYear":"2013","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":"2013-1124","title":"Topographic and hydrographic GIS datasets for the Afghan Geological Survey and U.S. Geological Survey 2013 mineral areas of interest","docAbstract":"Afghanistan is endowed with a vast amount of mineral resources, and it is believed that the current economic state of the country could be greatly improved through investment in the extraction and production of these resources. In 2007, the “Preliminary Non-Fuel Resource Assessment of Afghanistan 2007” was completed by members of the U.S. Geological Survey and Afghan Geological Survey (Peters and others, 2007). The assessment delineated 20 mineralized areas for further study using a geologic-based methodology. In 2011, a follow-on data product, “Summaries and Data Packages of Important Areas for Mineral Investment and Production Opportunities of Nonfuel Minerals in Afghanistan,” was released (Peters and others, 2011). As part of this more recent work, geologic, geohydrologic, and hyperspectral studies were carried out in the areas of interest (AOIs) to assess the location and characteristics of the mineral resources. The 2011 publication included a dataset of 24 identified AOIs containing subareas, a corresponding digital elevation model (DEM), elevation contours, areal extent, and hydrography for each AOI. In 2012, project scientists identified five new AOIs and two subareas in Afghanistan. These new areas are Ahankashan, Kandahar, Parwan, North Bamyan, and South Bamyan. The two identified subareas include Obatu-Shela and Sekhab-ZamtoKalay, both located within the larger Kandahar AOI. In addition, an extended Kandahar AOI is included in the project for water resource modeling purposes. The dataset presented in this publication consists of the areal extent of the five new AOIs, two subareas, and the extended Kandahar AOI, elevation contours at 100-, 50-, and 25-meter intervals, an enhanced DEM, and a hydrographic dataset covering the extent of the new study area. The resulting raster and vector layers are intended for use by government agencies, developmental organizations, and private companies in Afghanistan to assist with mineral assessments, monitoring, management, and investment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131124","collaboration":"Prepared in cooperation with the Afghan Geological Survey under the auspices of the U.S. Department of Defense Task Force for Business and Stability Operations","usgsCitation":"Casey, B.N., and Chirico, P., 2013, Topographic and hydrographic GIS datasets for the Afghan Geological Survey and U.S. Geological Survey 2013 mineral areas of interest: U.S. Geological Survey Open-File Report 2013-1124, Report: vi, 18 p.; Downloads Directory, https://doi.org/10.3133/ofr20131124.","productDescription":"Report: vi, 18 p.; Downloads Directory","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":275158,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1124/Downloads"},{"id":275159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131124.gif"},{"id":275156,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1124/"},{"id":275157,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1124/pdf/ofr2013-1124.pdf"}],"country":"Afghanistan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.52,29.38 ], [ 60.52,38.49 ], [ 74.89,38.49 ], [ 74.89,29.38 ], [ 60.52,29.38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e90055e4b0e157e9e86eea","contributors":{"authors":[{"text":"Casey, Brittany N.","contributorId":69037,"corporation":false,"usgs":true,"family":"Casey","given":"Brittany","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":481085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chirico, Peter G.","contributorId":27086,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter G.","affiliations":[],"preferred":false,"id":481084,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047098,"text":"sir20135103 - 2013 - Application of the SPARROW model to assess surface-water nutrient conditions and sources in the United States Pacific Northwest","interactions":[],"lastModifiedDate":"2013-07-18T09:40:14","indexId":"sir20135103","displayToPublicDate":"2013-07-18T09:27:00","publicationYear":"2013","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":"2013-5103","title":"Application of the SPARROW model to assess surface-water nutrient conditions and sources in the United States Pacific Northwest","docAbstract":"The watershed model SPARROW (Spatially Referenced Regressions on Watershed attributes) was used to estimate mean annual surface-water nutrient conditions (total nitrogen and total phosphorus) and to identify important nutrient sources in catchments of the Pacific Northwest region of the United States for 2002. Model-estimated nutrient yields were generally higher in catchments on the wetter, western side of the Cascade Range than in catchments on the drier, eastern side. The largest source of locally generated total nitrogen stream load in most catchments was runoff from forestland, whereas the largest source of locally generated total phosphorus stream load in most catchments was either geologic material or livestock manure (primarily from grazing livestock). However, the highest total nitrogen and total phosphorus yields were predicted in the relatively small number of catchments where urban sources were the largest contributor to local stream load. Two examples are presented that show how SPARROW results can be applied to large rivers—the relative contribution of different nutrient sources to the total nitrogen load in the Willamette River and the total phosphorus load in the Snake River. The results from this study provided an understanding of the regional patterns in surface-water nutrient conditions and should be useful to researchers and water-quality managers performing local nutrient assessments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135103","usgsCitation":"Wise, D.R., and Johnson, H.M., 2013, Application of the SPARROW model to assess surface-water nutrient conditions and sources in the United States Pacific Northwest: U.S. Geological Survey Scientific Investigations Report 2013-5103, vi, 32 p.; 2 Appendixes; ASCII Data File, https://doi.org/10.3133/sir20135103.","productDescription":"vi, 32 p.; 2 Appendixes; ASCII Data File","numberOfPages":"42","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":275137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135103.jpg"},{"id":275133,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5103/pdf/sir20135103.pdf"},{"id":275134,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5103/pdf/sir20135103_appendix_a.pdf"},{"id":275135,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5103/pdf/sir20135103_appendix_b.pdf"},{"id":275136,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5103/sir20135103_PNW_SPARROW_NHD_predict_data.txt"},{"id":275132,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5103/"}],"country":"United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -126.0,41.0 ], [ -126.0,50.0 ], [ -109.0,50.0 ], [ -109.0,41.0 ], [ -126.0,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e9004ee4b0e157e9e86ed6","contributors":{"authors":[{"text":"Wise, Daniel R. 0000-0002-1215-9612 dawise@usgs.gov","orcid":"https://orcid.org/0000-0002-1215-9612","contributorId":29891,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel","email":"dawise@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":481045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Henry M. 0000-0002-7571-4994","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":105291,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481046,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188030,"text":"70188030 - 2013 - Forest cutting and impacts on carbon in the eastern United States","interactions":[],"lastModifiedDate":"2017-05-31T16:13:26","indexId":"70188030","displayToPublicDate":"2013-07-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Forest cutting and impacts on carbon in the eastern United States","docAbstract":"<p><span>Forest cutting is a major anthropogenic disturbance that affects forest carbon (C) storage and fluxes. Yet its characteristics and impacts on C cycling are poorly understood over large areas. Using recent annualized forest inventory data, we estimated cutting-related loss of live biomass in the eastern United States was 168 Tg C yr</span><sup>−1</sup><span> from 2002 to 2010 (with C loss per unit forest area of 1.07 Mg ha</span><sup>−1</sup><span> yr</span><sup>−1</sup><span>), which is equivalent to 70% of the total U.S. forest C sink or 11% of the national annual CO</span><sub>2&nbsp;</sub><span>emissions from fossil-fuel combustion over the same period. We further revealed that specific cutting-related C loss varied with cutting intensities, forest types, stand ages, and geographic locations. Our results provide new insights to the characteristics of forest harvesting activities in the eastern United States and highlight the significance of partial cutting to regional and national carbon budgets.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/srep03547","usgsCitation":"Zhou, D., Liu, S., Oeding, J., and Zhao, S., 2013, Forest cutting and impacts on carbon in the eastern United States: Scientific Reports, v. 3, Article 3547: 7 p., https://doi.org/10.1038/srep03547.","productDescription":"Article 3547: 7 p.","ipdsId":"IP-052367","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep03547","text":"Publisher Index Page"},{"id":341887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-19","publicationStatus":"PW","scienceBaseUri":"592e84c8e4b092b266f10dbe","contributors":{"authors":[{"text":"Zhou, Decheng","contributorId":172941,"corporation":false,"usgs":false,"family":"Zhou","given":"Decheng","email":"","affiliations":[{"id":27124,"text":"Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China","active":true,"usgs":false}],"preferred":false,"id":696530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oeding, Jennifer joeding@usgs.gov","contributorId":4070,"corporation":false,"usgs":true,"family":"Oeding","given":"Jennifer","email":"joeding@usgs.gov","affiliations":[],"preferred":true,"id":696531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhao, Shuqing","contributorId":9152,"corporation":false,"usgs":true,"family":"Zhao","given":"Shuqing","email":"","affiliations":[],"preferred":false,"id":696532,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188809,"text":"70188809 - 2013 - New thermochronometric constraints on the Tertiary landscape evolution of the central and eastern Grand Canyon, Arizona","interactions":[],"lastModifiedDate":"2017-06-27T11:07:55","indexId":"70188809","displayToPublicDate":"2013-07-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"New thermochronometric constraints on the Tertiary landscape evolution of the central and eastern Grand Canyon, Arizona","docAbstract":"<p><span>Thermal histories are modeled from new apatite (U-Th)/He and apatite fission-track data in order to quantitatively constrain the landscape evolution of the Grand Canyon region. Fifty new samples and their associated thermochronometric ages are presented here. Samples span from Lee’s Ferry in the east to Quartermaster Canyon in the west and include four age-elevation transects into Grand Canyon and borehole samples from the Coconino Plateau. Twenty-seven samples are inversely modeled to provide continuous thermal histories. This represents the most extensive and complete dataset on patterns of long-term exhumation in the Grand Canyon region, and it enables us to constrain the timing and magnitude of erosion and also discriminate between canyon incision and broader planation. The new data suggest that the early Cenozoic landscape in eastern Grand Canyon was low in relief and does not indicate the presence of an early Cenozoic precursor to the modern Grand Canyon. However, there is evidence for the incision of a smaller-scale canyon across the Kaibab Uplift at 28–20 Ma. This middle-Cenozoic denudation event was accompanied by the removal of a majority of remaining Mesozoic strata west of the Kaibab Uplift. In contrast, just upstream in the area of Lee’s Ferry, ∼2 km of Mesozoic strata remained over the middle Cenozoic and were removed after 10 Ma.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00842.1","usgsCitation":"Lee, J.P., Stockli, D.F., Kelley, S., Pederson, J., Karlstrom, K.E., and Ehlers, T., 2013, New thermochronometric constraints on the Tertiary landscape evolution of the central and eastern Grand Canyon, Arizona: Geosphere, v. 9, no. 2, p. 216-228, https://doi.org/10.1130/GES00842.1.","productDescription":"13 p.","startPage":"216","endPage":"228","ipdsId":"IP-039069","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":473671,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00842.1","text":"Publisher Index Page"},{"id":342893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.04632568359375,\n              35.576916524038616\n            ],\n            [\n              -111.29974365234375,\n              35.576916524038616\n            ],\n            [\n              -111.29974365234375,\n              37.00255267215955\n            ],\n            [\n              -114.04632568359375,\n              37.00255267215955\n            ],\n            [\n              -114.04632568359375,\n              35.576916524038616\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59521d28e4b062508e3c36cd","contributors":{"authors":[{"text":"Lee, John P. jplee@usgs.gov","contributorId":3291,"corporation":false,"usgs":true,"family":"Lee","given":"John","email":"jplee@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":700458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockli, Daniel F.","contributorId":78073,"corporation":false,"usgs":true,"family":"Stockli","given":"Daniel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":700674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, S.A.","contributorId":31151,"corporation":false,"usgs":true,"family":"Kelley","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":700675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pederson, J.","contributorId":11413,"corporation":false,"usgs":true,"family":"Pederson","given":"J.","email":"","affiliations":[],"preferred":false,"id":700676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karlstrom, K. E.","contributorId":45713,"corporation":false,"usgs":true,"family":"Karlstrom","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":700677,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ehlers, T.A.","contributorId":193510,"corporation":false,"usgs":false,"family":"Ehlers","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":700678,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70186189,"text":"70186189 - 2013 - Holocene fire occurrence and alluvial responses at the leading edge of pinyon–juniper migration in the Northern Great Basin, USA","interactions":[],"lastModifiedDate":"2017-03-31T09:25:39","indexId":"70186189","displayToPublicDate":"2013-07-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Holocene fire occurrence and alluvial responses at the leading edge of pinyon–juniper migration in the Northern Great Basin, USA","docAbstract":"<p><span>Fire and vegetation records at the City of Rocks National Reserve (CIRO), south-central Idaho, display the interaction of changing climate, fire and vegetation along the migrating front of single-leaf pinyon (</span><i><span class=\"italic\">Pinus monophylla</span></i><span>) and Utah juniper (</span><i><span class=\"italic\">Juniperus osteosperma</span></i><span>). Radiocarbon dating of alluvial charcoal reconstructed local fire occurrence and geomorphic response, and fossil woodrat (</span><i><span class=\"italic\">Neotoma</span></i><span>) middens revealed pinyon and juniper arrivals. Fire peaks occurred ~ 10,700–9500, 7200–6700, 2400–2000, 850–700, and 550–400 cal yr BP, whereas ~ 9500–7200, 6700–4700 and ~ 1500–1000 cal yr BP are fire-free. Wetter climates and denser vegetation fueled episodic fires and debris flows during the early and late Holocene, whereas drier climates and reduced vegetation caused frequent sheetflooding during the mid-Holocene. Increased fires during the wetter and more variable late Holocene suggest variable climate and adequate fuels augment fires at CIRO. Utah juniper and single-leaf pinyon colonized CIRO by 3800 and 2800 cal yr BP, respectively, though pinyon did not expand broadly until ~ 700 cal yr BP. Increased fire-related deposition coincided with regional droughts and pinyon infilling ~ 850–700 and 550–400 cal yr BP. Early and late Holocene vegetation change probably played a major role in accelerated fire activity, which may be sustained into the future due to pinyon–juniper densification and cheatgrass invasion.</span></p>","language":"English","publisher":"Academic Press","publisherLocation":"New York, NY","doi":"10.1016/j.yqres.2013.06.004","usgsCitation":"Weppner, K.N., Pierce, J.L., and Betancourt, J.L., 2013, Holocene fire occurrence and alluvial responses at the leading edge of pinyon–juniper migration in the Northern Great Basin, USA: Quaternary Research, v. 80, no. 2, p. 143-157, https://doi.org/10.1016/j.yqres.2013.06.004.","productDescription":"15 p.","startPage":"143","endPage":"157","ipdsId":"IP-046091","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"City of Rocks National Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.74540328979492,\n              42.11197711295227\n            ],\n            [\n              -113.74557495117188,\n              42.018947439899584\n            ],\n            [\n              -113.6868667602539,\n              42.019712622928495\n            ],\n            [\n              -113.68669509887695,\n              42.067135987500116\n            ],\n            [\n              -113.6671257019043,\n              42.0675182901052\n            ],\n            [\n              -113.6674690246582,\n              42.10026033308264\n            ],\n            [\n              -113.68120193481445,\n              42.100005596427735\n            ],\n            [\n              -113.68137359619139,\n              42.103699177763055\n            ],\n            [\n              -113.6868667602539,\n              42.10446334014171\n            ],\n            [\n              -113.6868667602539,\n              42.10764725091394\n            ],\n            [\n              -113.69699478149414,\n              42.1072651900641\n            ],\n            [\n              -113.69750976562499,\n              42.1112130411425\n            ],\n            [\n              -113.70609283447264,\n              42.11197711295227\n            ],\n            [\n              -113.70695114135742,\n              42.1264927273097\n            ],\n            [\n              -113.72566223144531,\n              42.12662004254844\n            ],\n            [\n              -113.7249755859375,\n              42.1188533447636\n            ],\n            [\n              -113.73407363891602,\n              42.11808935584944\n            ],\n            [\n              -113.73373031616211,\n              42.11184976829024\n            ],\n            [\n              -113.74540328979492,\n              42.11197711295227\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"80","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"58df6ac8e4b02ff32c6aea6b","contributors":{"authors":[{"text":"Weppner, Kerrie N.","contributorId":190215,"corporation":false,"usgs":false,"family":"Weppner","given":"Kerrie","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":687836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Jennifer L.","contributorId":190214,"corporation":false,"usgs":false,"family":"Pierce","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":687837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":687819,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046561,"text":"70046561 - 2013 - Revision of Fontes & Garnier's model for the initial <sup>14</sup>C content of dissolved inorganic carbon used in groundwater dating","interactions":[],"lastModifiedDate":"2018-03-21T15:11:41","indexId":"70046561","displayToPublicDate":"2013-07-17T16:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Revision of Fontes & Garnier's model for the initial <sup>14</sup>C content of dissolved inorganic carbon used in groundwater dating","docAbstract":"The widely applied model for groundwater dating using <sup>14</sup>C proposed by Fontes and Garnier (F&G) (Fontes and Garnier, 1979) estimates the initial <sup>14</sup>C content in waters from carbonate-rock aquifers affected by isotopic exchange. Usually, the model of F&G is applied in one of two ways: (1) using a single <sup>13</sup>C fractionation factor of gaseous CO<sub>2</sub> with respect to a solid carbonate mineral, εg/s, regardless of whether the carbon isotopic exchange is controlled by soil CO<sub>2</sub> in the unsaturated zone, or by solid carbonate mineral in the saturated zone; or (2) using different fractionation factors if the exchange process is dominated by soil CO<sub>2</sub> gas as opposed to solid carbonate mineral (typically calcite). An analysis of the F&G model shows an inadequate conceptualization, resulting in underestimation of the initial <sup>14</sup>C values (<sup>14</sup>C<sub>0</sub>) for groundwater systems that have undergone isotopic exchange. The degree to which the <sup>14</sup>C<sub>0</sub> is underestimated increases with the extent of isotopic exchange. Examples show that in extreme cases, the error in calculated adjusted initial <sup>14</sup>C values can be more than 20% modern carbon (pmc). A model is derived that revises the mass balance method of F&G by using a modified model conceptualization. The derivation yields a “global” model both for carbon isotopic exchange dominated by gaseous CO<sub>2</sub> in the unsaturated zone, and for carbon isotopic exchange dominated by solid carbonate mineral in the saturated zone. However, the revised model requires different parameters for exchange dominated by gaseous CO<sub>2</sub> as opposed to exchange dominated by solid carbonate minerals. The revised model for exchange dominated by gaseous CO<sub>2</sub> is shown to be identical to the model of Mook (Mook, 1976). For groundwater systems where exchange occurs both in the unsaturated zone and saturated zone, the revised model can still be used; however, <sup>14</sup>C<sub>0</sub> will be slightly underestimated. Finally, in carbonate systems undergoing complex geochemical reactions, such as oxidation of organic carbon, radiocarbon ages are best estimated by inverse geochemical modeling techniques.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2013.05.011","usgsCitation":"Han, L., and Plummer, N., 2013, Revision of Fontes & Garnier's model for the initial <sup>14</sup>C content of dissolved inorganic carbon used in groundwater dating: Chemical Geology, v. 351, p. 105-114, https://doi.org/10.1016/j.chemgeo.2013.05.011.","productDescription":"10 p.","startPage":"105","endPage":"114","ipdsId":"IP-045165","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473674,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2013.05.011","text":"Publisher Index Page"},{"id":275107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273714,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2013.05.011"}],"country":"United States","volume":"351","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e7aed7e4b080b82b09c616","contributors":{"authors":[{"text":"Han, Liang-Feng","contributorId":101537,"corporation":false,"usgs":true,"family":"Han","given":"Liang-Feng","affiliations":[],"preferred":false,"id":479806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":479805,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046875,"text":"70046875 - 2013 - Impact of Late Holocene climate variability and anthropogenic activities on Biscayne Bay (Florida, U.S.A.): Evidence from diatoms","interactions":[],"lastModifiedDate":"2020-03-27T06:31:01","indexId":"70046875","displayToPublicDate":"2013-07-17T11:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Impact of Late Holocene climate variability and anthropogenic activities on Biscayne Bay (Florida, U.S.A.): Evidence from diatoms","docAbstract":"Shallow marine ecosystems are experiencing significant environmental alterations as a result of changing climate and increasing human activities along coasts. Intensive urbanization of the southeast Florida coast and intensification of climate change over the last few centuries changed the character of coastal ecosystems in the semi-enclosed Biscayne Bay, Florida. In order to develop management policies for the Bay, it is vital to obtain reliable scientific evidence of past ecological conditions. The long-term records of subfossil diatoms obtained from No Name Bank and Featherbed Bank in the Central Biscayne Bay, and from the Card Sound Bank in the neighboring Card Sound, were used to study the magnitude of the environmental change caused by climate variability and water management over the last ~ 600 yr. Analyses of these records revealed that the major shifts in the diatom assemblage structures at No Name Bank occurred in 1956, at Featherbed Bank in 1966, and at Card Sound Bank in 1957. Smaller magnitude shifts were also recorded at Featherbed Bank in 1893, 1942, 1974 and 1983. Most of these changes coincided with severe drought periods that developed during the cold phases of El Niño Southern Oscillation (ENSO), Atlantic Multidecadal Oscillation (AMO) and Pacific Decadal Oscillation (PDO), or when AMO was in warm phase and PDO was in the cold phase. Only the 1983 change coincided with an unusually wet period that developed during the warm phases of ENSO and PDO. Quantitative reconstructions of salinity using the weighted averaging partial least squares (WA-PLS) diatom-based salinity model revealed a gradual increase in salinity at the three coring locations over the last ~ 600 yr, which was primarily caused by continuously rising sea level and in the last several decades also by the reduction of the amount of freshwater inflow from the mainland. Concentration of sediment total nitrogen (TN), total phosphorus (TP) and total organic carbon (TOC) increased in the second half of the 20th century, which coincided with the construction of canals, landfills, marinas and water treatment plants along the western margin of Biscayne Bay. Increased magnitude and rate of the diatom assemblage restructuring in the mid- and late-1900s, suggest that large environmental changes are occurring more rapidly now than in the past.","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2012.12.020","usgsCitation":"Wachnicka, A., Gaiser, E., Wingard, G.L., Briceno, H., and Harlem, P., 2013, Impact of Late Holocene climate variability and anthropogenic activities on Biscayne Bay (Florida, U.S.A.): Evidence from diatoms: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 371, p. 80-92, https://doi.org/10.1016/j.palaeo.2012.12.020.","productDescription":"13 p.","startPage":"80","endPage":"92","ipdsId":"IP-038980","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":563,"text":"South Florida Information Access","active":false,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":275111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.313083,25.414719 ], [ -80.313083,25.920597 ], [ -80.125669,25.920597 ], [ -80.125669,25.414719 ], [ -80.313083,25.414719 ] ] ] } } ] }","volume":"371","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e7aed6e4b080b82b09c60a","chorus":{"doi":"10.1016/j.palaeo.2012.12.020","url":"http://dx.doi.org/10.1016/j.palaeo.2012.12.020","publisher":"Elsevier BV","authors":"Wachnicka Anna, Gaiser Evelyn, Wingard Lynn, Briceo Henry, Harlem Peter","journalName":"Palaeogeography, Palaeoclimatology, Palaeoecology","publicationDate":"2/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Wachnicka, Anna","contributorId":15500,"corporation":false,"usgs":true,"family":"Wachnicka","given":"Anna","email":"","affiliations":[],"preferred":false,"id":480539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaiser, Evelyn","contributorId":61727,"corporation":false,"usgs":true,"family":"Gaiser","given":"Evelyn","affiliations":[],"preferred":false,"id":480541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","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":480540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briceno, Henry","contributorId":94191,"corporation":false,"usgs":true,"family":"Briceno","given":"Henry","email":"","affiliations":[],"preferred":false,"id":480543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harlem, Peter","contributorId":83421,"corporation":false,"usgs":true,"family":"Harlem","given":"Peter","email":"","affiliations":[],"preferred":false,"id":480542,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046870,"text":"70046870 - 2013 - Geometry and earthquake potential of the shoreline fault, central California","interactions":[],"lastModifiedDate":"2019-07-17T16:27:24","indexId":"70046870","displayToPublicDate":"2013-07-16T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Geometry and earthquake potential of the shoreline fault, central California","docAbstract":"The Shoreline fault is a vertical strike‐slip fault running along the coastline near San Luis Obispo, California. Much is unknown about the Shoreline fault, including its slip rate and the details of its geometry. Here, I study the geometry of the Shoreline fault at seismogenic depth, as well as the adjacent section of the offshore Hosgri fault, using seismicity relocations and earthquake focal mechanisms. The Optimal Anisotropic Dynamic Clustering (OADC) algorithm (Ouillon et al., 2008) is used to objectively identify the simplest planar fault geometry that fits all of the earthquakes to within their location uncertainty. The OADC results show that the Shoreline fault is a single continuous structure that connects to the Hosgri fault. Discontinuities smaller than about 1 km may be undetected, but would be too small to be barriers to earthquake rupture. The Hosgri fault dips steeply to the east, while the Shoreline fault is essentially vertical, so the Hosgri fault dips towards and under the Shoreline fault as the two faults approach their intersection. The focal mechanisms generally agree with pure right‐lateral strike‐slip on the OADC planes, but suggest a non‐planar Hosgri fault or another structure underlying the northern Shoreline fault. The Shoreline fault most likely transfers strike‐slip motion between the Hosgri fault and other faults of the Pacific–North America plate boundary system to the east. A hypothetical earthquake rupturing the entire known length of the Shoreline fault would have a moment magnitude of 6.4–6.8. A hypothetical earthquake rupturing the Shoreline fault and the section of the Hosgri fault north of the Hosgri–Shoreline junction would have a moment magnitude of 7.2–7.5.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120175","usgsCitation":"Hardebeck, J.L., 2013, Geometry and earthquake potential of the shoreline fault, central California: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 447-462, https://doi.org/10.1785/0120120175.","productDescription":"16 p.","startPage":"447","endPage":"462","ipdsId":"IP-037963","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":275041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274705,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120120175"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"103","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"51e65d55e4b017be1ba34719","contributors":{"authors":[{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":480509,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046825,"text":"70046825 - 2013 - Evolution of dike opening during the March 2011 Kamoamoa fissure eruption, Kīlauea Volcano, Hawai`i","interactions":[],"lastModifiedDate":"2018-10-30T09:10:46","indexId":"70046825","displayToPublicDate":"2013-07-15T12:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of dike opening during the March 2011 Kamoamoa fissure eruption, Kīlauea Volcano, Hawai`i","docAbstract":"<p><span>The 5–9 March 2011 Kamoamoa fissure eruption along the east rift zone of Kīlauea Volcano, Hawai`i, followed months of pronounced inflation at Kīlauea summit. We examine dike opening during and after the eruption using a comprehensive interferometric synthetic aperture radar (InSAR) data set in combination with continuous GPS data. We solve for distributed dike displacements using a whole Kīlauea model with dilating rift zones and possibly a deep décollement. Modeled surface dike opening increased from nearly 1.5 m to over 2.8 m from the first day to the end of the eruption, in agreement with field observations of surface fracturing. Surface dike opening ceased following the eruption, but subsurface opening in the dike continued into May 2011. Dike volumes increased from 15, to 16, to 21 million cubic meters (MCM) after the first day, eruption end, and 2 months following, respectively. Dike shape is distinctive, with a main limb plunging from the surface to 2–3 km depth in the up‐rift direction toward Kīlauea's summit, and a lesser projection extending in the down‐rift direction toward Pu`u `Ō`ō at 2 km depth. Volume losses beneath Kīlauea summit (1.7 MCM) and Pu`u `Ō`ō (5.6 MCM) crater, relative to dike plus erupted volume (18.3 MCM), yield a dike to source volume ratio of 2.5 that is in the range expected for compressible magma without requiring additional sources. Inflation of Kīlauea's summit in the months before the March 2011 eruption suggests that the Kamoamoa eruption resulted from overpressure of the volcano's magmatic system.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/jgrb.50108","usgsCitation":"Lundgren, P., Poland, M.P., Miklius, A., Orr, T., Yun, S., Fielding, E., Liu, Z., Tanaka, A., Szeliga, W., Hensley, S., and Owen, S., 2013, Evolution of dike opening during the March 2011 Kamoamoa fissure eruption, Kīlauea Volcano, Hawai`i: Journal of Geophysical Research B: Solid Earth, v. 118, no. 3, p. 897-914, https://doi.org/10.1002/jgrb.50108.","productDescription":"18 p.","startPage":"897","endPage":"914","ipdsId":"IP-042091","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50108","text":"Publisher Index Page"},{"id":274980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274979,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50108"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.798371,19.05835 ], [ -155.798371,19.54759 ], [ -155.016307,19.54759 ], [ -155.016307,19.05835 ], [ -155.798371,19.05835 ] ] ] } } ] }","volume":"118","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-27","publicationStatus":"PW","scienceBaseUri":"51e50bd9e4b069f8d27cca73","contributors":{"authors":[{"text":"Lundgren, Paul","contributorId":34806,"corporation":false,"usgs":true,"family":"Lundgren","given":"Paul","affiliations":[],"preferred":false,"id":480376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":480377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miklius, Asta 0000-0002-2286-1886 asta@usgs.gov","orcid":"https://orcid.org/0000-0002-2286-1886","contributorId":2060,"corporation":false,"usgs":true,"family":"Miklius","given":"Asta","email":"asta@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":480372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":3766,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","email":"torr@usgs.gov","affiliations":[],"preferred":false,"id":480373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yun, Sang-Ho","contributorId":102772,"corporation":false,"usgs":true,"family":"Yun","given":"Sang-Ho","email":"","affiliations":[],"preferred":false,"id":480382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fielding, Eric","contributorId":50434,"corporation":false,"usgs":true,"family":"Fielding","given":"Eric","affiliations":[],"preferred":false,"id":480379,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Zhen","contributorId":57750,"corporation":false,"usgs":true,"family":"Liu","given":"Zhen","email":"","affiliations":[],"preferred":false,"id":480380,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tanaka, Akiko","contributorId":30121,"corporation":false,"usgs":true,"family":"Tanaka","given":"Akiko","email":"","affiliations":[],"preferred":false,"id":480375,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Szeliga, Walter","contributorId":50021,"corporation":false,"usgs":true,"family":"Szeliga","given":"Walter","email":"","affiliations":[],"preferred":false,"id":480378,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hensley, Scott","contributorId":85313,"corporation":false,"usgs":true,"family":"Hensley","given":"Scott","email":"","affiliations":[],"preferred":false,"id":480381,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Owen, Susan","contributorId":29004,"corporation":false,"usgs":true,"family":"Owen","given":"Susan","affiliations":[],"preferred":false,"id":480374,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70046958,"text":"70046958 - 2013 - Environmental management of mosquito-borne viruses in Rhode Island","interactions":[],"lastModifiedDate":"2016-08-19T16:57:18","indexId":"70046958","displayToPublicDate":"2013-07-15T10:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3295,"text":"Rhode Island Medical Journal","active":true,"publicationSubtype":{"id":10}},"title":"Environmental management of mosquito-borne viruses in Rhode Island","docAbstract":"<p>West Nile Virus (WNV) and Eastern Equine Encephalitis Virus (EEEV) are both primarily bird viruses, which can be transmitted by several mosquito species. Differences in larval habitats, flight, and biting patterns of the primary vector species result in substantial differences in epidemiology, with WNV more common, primarily occurring in urban areas, and EEEV relatively rare, typically occurring near swamp habitats. The complex transmission ecology of these viruses complicates prediction of disease outbreaks. The Rhode Island Department of Environmental Management (DEM) and Department of Health (DoH) provide prevention assistance to towns and maintain a mosquito surveillance program to identify potential disease risk. Responses to potential outbreaks follow a protocol based on surveillance results, assessment of human risk, and technical consultation.</p>","language":"English","publisher":"Rhode Island Medical Society","usgsCitation":"Ginsberg, H.S., Gettman, A., Becker, E., Bandyopadhyay, A.S., and LeBrun, R.A., 2013, Environmental management of mosquito-borne viruses in Rhode Island: Rhode Island Medical Journal, v. 96, no. 7, p. 37-41.","productDescription":"5 p.","startPage":"37","endPage":"41","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045131","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":274971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274829,"type":{"id":15,"text":"Index Page"},"url":"https://www.rimed.org/rimedicaljournal-2013-07.asp"}],"country":"United States","state":"Rhode 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Elisabeth","contributorId":69869,"corporation":false,"usgs":true,"family":"Becker","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":480698,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bandyopadhyay, Ananda S.","contributorId":29293,"corporation":false,"usgs":true,"family":"Bandyopadhyay","given":"Ananda","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":480697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeBrun, Roger A.","contributorId":70907,"corporation":false,"usgs":false,"family":"LeBrun","given":"Roger","email":"","middleInitial":"A.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":480699,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047001,"text":"ofr20131153 - 2013 - Simulation of groundwater flow in the \"1,500-foot\" sand and \"2,000-foot\" sand and movement of saltwater in the \"2,000-foot\" sand of the Baton Rouge area, Louisiana","interactions":[],"lastModifiedDate":"2013-07-12T11:20:11","indexId":"ofr20131153","displayToPublicDate":"2013-07-12T11:09:00","publicationYear":"2013","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":"2013-1153","title":"Simulation of groundwater flow in the \"1,500-foot\" sand and \"2,000-foot\" sand and movement of saltwater in the \"2,000-foot\" sand of the Baton Rouge area, Louisiana","docAbstract":"Groundwater withdrawals have caused saltwater to encroach into freshwater-bearing aquifers beneath Baton Rouge, Louisiana. Groundwater investigations in the 1960s identified a freshwater-saltwater interface located at the Baton Rouge Fault, across which abrupt changes in water levels occur. Aquifers south of the fault generally contain saltwater, and aquifers north of the fault contain freshwater, though limited saltwater encroachment has been detected within 7 of the 10 aquifers north of the fault. The 10 aquifers beneath the Baton Rouge area, which includes East and West Baton Rouge Parishes, Pointe Coupee Parish, and East and West Feliciana Parishes, provided about 167 million gallons per day (Mgal/day) for public supply and industrial use in 2010. Groundwater withdrawals from an aquifer that is 2,000-feet (ft) deep in East Baton Rouge Parish (the “2,000-foot” sand of the Baton Rouge area) have caused water-level drawdown up to 356 ft and induced saltwater movement northward across the fault. Groundwater withdrawals from the “2,000-foot” sand averaged 23.9 Mgal/d during 2010. Saltwater encroachment threatens wells that are located about 3 miles north of the fault, where industrial withdrawals account for about 66 percent of the water withdrawn from the “2,000-foot” sand in East Baton Rouge Parish. Constant and variable-density groundwater models were developed with the MODFLOW and SEAWAT groundwater modeling codes to evaluate strategies to control saltwater migration, including changes in the distribution of groundwater withdrawals and installation of “scavenger” wells to intercept saltwater before it reaches existing production wells.\n\nFive hypothetical scenarios simulated the effects of different groundwater withdrawal options on groundwater levels within the “1,500-foot” sand and the “2,000-foot” sand and the transport of saltwater within the “2,000-foot” sand. Scenario 1 is considered a base case for comparison to the other four scenarios and simulates continuation of 2007 reported groundwater withdrawals. Scenario 2 simulates discontinuation of withdrawals from seven selected industrial wells located in the northwest corner of East Baton Rouge Parish, and water levels within the “1,500-foot” sand were predicted to be about 15 to 20 ft higher under this withdrawal scenario than under scenario 1. Scenario 3 simulates the effects of a scavenger well, which withdraws water from the base of the “2,000-foot” sand at a rate of 2 Mgal/d, at two possible locations on water levels and concentrations within the “2,000-foot” sand. In comparison to the concentrations simulated in scenario 1, operation of the scavenger well in the locations specified in scenario 3 reduces the chloride concentrations at all existing chloride-observation well locations. Scenario 4 simulates a 3.6 Mgal/d reduction in total groundwater withdrawals from selected wells screened in the “2,000-foot” sand that are located in the Baton Rouge industrial district. For scenario 4, the median and mean plume concentrations are slightly lower than scenario 1. Scenario 5 simulates the effect of total cessation of groundwater withdrawals from the “2,000-foot” sand in the industrial district. The simulated chloride-concentration distribution in scenario 5 reflects the change in groundwater flow direction. Although some saltwater would continue to cross the Baton Rouge Fault and encroach toward municipal supply wells, further encroachment toward the industrial district would be abated.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131153","collaboration":"Prepared in cooperation with the Capital Area Groundwater Conservation Commission; the Louisiana Department of Transportation and Development, Public Works and Water Resources Division; and the City of Baton Rouge and Parish of East Baton Rouge","usgsCitation":"Heywood, C.E., and Griffith, J.M., 2013, Simulation of groundwater flow in the \"1,500-foot\" sand and \"2,000-foot\" sand and movement of saltwater in the \"2,000-foot\" sand of the Baton Rouge area, Louisiana: U.S. Geological Survey Open-File Report 2013-1153, viii, 35 p.; Tables, https://doi.org/10.3133/ofr20131153.","productDescription":"viii, 35 p.; Tables","numberOfPages":"87","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":274914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131153.gif"},{"id":274912,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1153/"},{"id":274913,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1153/OFR_2013-1153.pdf"}],"country":"United States","state":"Louisiana;Mississippi","city":"Baton Rouge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0,30.2 ], [ -92.0,31.5 ], [ -90.25,31.5 ], [ -90.25,30.2 ], [ -92.0,30.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11769e4b02f5cae2b7344","contributors":{"authors":[{"text":"Heywood, Charles E. cheywood@usgs.gov","contributorId":2043,"corporation":false,"usgs":true,"family":"Heywood","given":"Charles","email":"cheywood@usgs.gov","middleInitial":"E.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Jason M. 0000-0002-8942-0380 jmgriff@usgs.gov","orcid":"https://orcid.org/0000-0002-8942-0380","contributorId":2923,"corporation":false,"usgs":true,"family":"Griffith","given":"Jason","email":"jmgriff@usgs.gov","middleInitial":"M.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480837,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046964,"text":"70046964 - 2013 - Accuracy assessment of a mobile terrestrial lidar survey at Padre Island National Seashore","interactions":[],"lastModifiedDate":"2017-04-06T15:21:36","indexId":"70046964","displayToPublicDate":"2013-07-11T10:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy assessment of a mobile terrestrial lidar survey at Padre Island National Seashore","docAbstract":"The higher point density and mobility of terrestrial laser scanning (light detection and ranging (lidar)) is desired when extremely detailed elevation data are needed for mapping vertically orientated complex features such as levees, dunes, and cliffs, or when highly accurate data are needed for monitoring geomorphic changes. Mobile terrestrial lidar scanners have the capability for rapid data collection on a larger spatial scale compared with tripod-based terrestrial lidar, but few studies have examined the accuracy of this relatively new mapping technology. For this reason, we conducted a field test at Padre Island National Seashore of a mobile lidar scanner mounted on a sport utility vehicle and integrated with a position and orientation system. The purpose of the study was to assess the vertical and horizontal accuracy of data collected by the mobile terrestrial lidar system, which is georeferenced to the Universal Transverse Mercator coordinate system and the North American Vertical Datum of 1988. To accomplish the study objectives, independent elevation data were collected by conducting a high-accuracy global positioning system survey to establish the coordinates and elevations of 12 targets spaced throughout the 12 km transect. These independent ground control data were compared to the lidar scanner-derived elevations to quantify the accuracy of the mobile lidar system. The performance of the mobile lidar system was also tested at various vehicle speeds and scan density settings (e.g. field of view and linear point spacing) to estimate the optimal parameters for desired point density. After adjustment of the lever arm parameters, the final point cloud accuracy was 0.060 m (east), 0.095 m (north), and 0.053 m (height). The very high density of the resulting point cloud was sufficient to map fine-scale topographic features, such as the complex shape of the sand dunes.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2013.800658","usgsCitation":"Lim, S., Thatcher, C., Brock, J., Kimbrow, D.R., Danielson, J.J., and Reynolds, B., 2013, Accuracy assessment of a mobile terrestrial lidar survey at Padre Island National Seashore: International Journal of Remote Sensing, v. 34, no. 18, p. 6355-6366, https://doi.org/10.1080/01431161.2013.800658.","productDescription":"12 p.","startPage":"6355","endPage":"6366","ipdsId":"IP-045596","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":274864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274863,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2013.800658"}],"country":"United States","state":"Texas","city":"Corpus Christi","otherGeospatial":"Padre Island National Seashore","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.4226,26.562 ], [ -97.4226,27.5382 ], [ -97.2588,27.5382 ], [ -97.2588,26.562 ], [ -97.4226,26.562 ] ] ] } } ] }","volume":"34","issue":"18","noUsgsAuthors":false,"publicationDate":"2013-06-10","publicationStatus":"PW","scienceBaseUri":"51dfc5d9e4b0d332bf22f32d","contributors":{"authors":[{"text":"Lim, Samsung","contributorId":34022,"corporation":false,"usgs":true,"family":"Lim","given":"Samsung","affiliations":[],"preferred":false,"id":480721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thatcher, Cindy A.","contributorId":79604,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy A.","affiliations":[],"preferred":false,"id":480723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":480718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kimbrow, Dustin R. dkimbrow@usgs.gov","contributorId":3915,"corporation":false,"usgs":true,"family":"Kimbrow","given":"Dustin","email":"dkimbrow@usgs.gov","middleInitial":"R.","affiliations":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":480720,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reynolds, B.J.","contributorId":47874,"corporation":false,"usgs":true,"family":"Reynolds","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":480722,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046971,"text":"ofr20131141 - 2013 - Preliminary stratigraphic and hydrogeologic cross sections and seismic profile of the Floridan aquifer system of Broward County, Florida","interactions":[],"lastModifiedDate":"2013-07-11T09:48:25","indexId":"ofr20131141","displayToPublicDate":"2013-07-11T09:37:00","publicationYear":"2013","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":"2013-1141","title":"Preliminary stratigraphic and hydrogeologic cross sections and seismic profile of the Floridan aquifer system of Broward County, Florida","docAbstract":"To help water-resource managers evaluate the Floridan aquifer system (FAS) as an alternative water supply, the U.S. Geological Survey initiated a study, in cooperation with the Broward County Environmental Protection and Growth Management Department, to refine the hydrogeologic framework of the FAS in the eastern part of Broward County. This report presents three preliminary cross sections illustrating stratigraphy and hydrogeology in eastern Broward County as well as an interpreted seismic profile along one of the cross sections. Marker horizons were identified using borehole geophysical data and were initially used to perform well-to-well correlation. Core sample data were integrated with the borehole geophysical data to support stratigraphic and hydrogeologic interpretations of marker horizons. Stratigraphic and hydrogeologic units were correlated across the county using borehole geophysical data from multiple wells. Seismic-reflection data were collected along the Hillsboro Canal. Borehole geophysical data were used to identify and correlate hydrogeologic units in the seismic-reflection profile. Faults and collapse structures that intersect hydrogeologic units were also identified in the seismic profile. The information provided in the cross sections and the seismic profile is preliminary and subject to revision.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131141","collaboration":"Prepared in cooperation with Broward County, Florida","usgsCitation":"Reese, R.S., and Cunningham, K.J., 2013, Preliminary stratigraphic and hydrogeologic cross sections and seismic profile of the Floridan aquifer system of Broward County, Florida: U.S. Geological Survey Open-File Report 2013-1141, iv, 10 p.; 3 Plates: 37 x 38 inches; 4 Tables, https://doi.org/10.3133/ofr20131141.","productDescription":"iv, 10 p.; 3 Plates: 37 x 38 inches; 4 Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":274861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131141.gif"},{"id":274852,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1141/"},{"id":274853,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1141/pdf/ofr2013-1141.pdf"},{"id":274856,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Plates/Plate03_Z-Z.pdf"},{"id":274854,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Plates/Plate01_A-A.pdf"},{"id":274857,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Tables/Table01.xlsx"},{"id":274858,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Tables/Table02.xlsx"},{"id":274855,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Plates/Plate02_C-C.pdf"},{"id":274859,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Tables/Table03.xlsx"},{"id":274860,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Tables/Table04.xlsx"}],"country":"United States","state":"Florida","county":"Broward County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.8814,25.9567 ], [ -80.8814,26.3347 ], [ -80.0153,26.3347 ], [ -80.0153,25.9567 ], [ -80.8814,25.9567 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dfc5dce4b0d332bf22f34b","contributors":{"authors":[{"text":"Reese, Ronald S. rsreese@usgs.gov","contributorId":1090,"corporation":false,"usgs":true,"family":"Reese","given":"Ronald","email":"rsreese@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":480744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":480745,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188859,"text":"70188859 - 2013 - Stratigraphy and chronology of Provo shoreline deposits and lake-level implications, Late Pleistocene Lake Bonneville, eastern Great Basin, USA","interactions":[],"lastModifiedDate":"2017-06-27T10:16:33","indexId":"70188859","displayToPublicDate":"2013-07-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1068,"text":"Boreas","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphy and chronology of Provo shoreline deposits and lake-level implications, Late Pleistocene Lake Bonneville, eastern Great Basin, USA","docAbstract":"<p><span>The Provo shoreline of Lake Bonneville formed following the Bonneville flood, and, based on previous dating, was formed during a period of overflow from about 17.5 to 15.0 cal. ka. In many places the Provo shoreline consists of a pair of distinct shorelines, one ∼3 m higher than the other. We present data from two cuts through double beaches to show that the upper beach is younger and represents sedimentation after a lake-level rise. In addition, the lower beach deposits are internally stratified by beds that suggest three more lake-level rises during its development. The Provo beach complex thus appears to have been built during rising lake levels, which can be explained by rises in the overflow threshold by sequential landslide deposition. Evaluation of beach altitudes demonstrates that the two beach crests throughout the Bonneville basin experienced equivalent rebound from removal of the lake load, and therefore they formed after the rebound associated with the Bonneville flood occurred in early Provo time. However, radiocarbon ages on gastropods collected within the beach deposits suggest both that the sequence of five beach deposits formed from </span><i>c.</i><span>18.1 to </span><i>c. </i><span>17.0 cal. ka, and that the Bonneville flood occurred before 18 cal. ka. These ages are discordant with previous dates on shells within offshore sands, and raise questions about the validity of radiocarbon ages for shells in Lake Bonneville as well as about the age of the Bonneville flood and Provo shoreline. The timing for maximum Provo lake depths and its association with climate stages during deglaciation remain unresolved.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1502-3885.2012.00297.x","usgsCitation":"Miller, D., Oviatt, C., and McGeehin, J.P., 2013, Stratigraphy and chronology of Provo shoreline deposits and lake-level implications, Late Pleistocene Lake Bonneville, eastern Great Basin, USA: Boreas, v. 42, no. 2, p. 342-361, https://doi.org/10.1111/j.1502-3885.2012.00297.x.","productDescription":"20 p.","startPage":"342","endPage":"361","ipdsId":"IP-033686","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Nevada, Utah, Wyoming","otherGeospatial":"Lake Bonneville","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.3,\n              42.7\n            ],\n            [\n              -110.5,\n              42.7\n            ],\n            [\n              -110.5,\n              37.5\n            ],\n            [\n              -114.3,\n              37.5\n            ],\n            [\n              -114.3,\n              42.7\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-10-25","publicationStatus":"PW","scienceBaseUri":"59536eaee4b062508e3c7ab3","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oviatt, Charles G.","contributorId":13503,"corporation":false,"usgs":true,"family":"Oviatt","given":"Charles G.","affiliations":[],"preferred":false,"id":700722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGeehin, John P. mcgeehin@usgs.gov","contributorId":140956,"corporation":false,"usgs":true,"family":"McGeehin","given":"John","email":"mcgeehin@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":700723,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046942,"text":"ofr20121255 - 2013 - Groundwater quality and water-well characteristics in the Kickapoo Tribe of Oklahoma Jurisdictional Area, central Oklahoma, 1948--2011","interactions":[],"lastModifiedDate":"2013-07-09T15:46:19","indexId":"ofr20121255","displayToPublicDate":"2013-07-09T15:28:00","publicationYear":"2013","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":"2012-1255","title":"Groundwater quality and water-well characteristics in the Kickapoo Tribe of Oklahoma Jurisdictional Area, central Oklahoma, 1948--2011","docAbstract":"In 2012, the U.S. Geological Survey, in cooperation with the Kickapoo Tribe of Oklahoma, compiled historical groundwater-quality data collected from 1948 to 2011 and water-well completion information in parts of Lincoln, Oklahoma, and Pottawatomie Counties in central Oklahoma to support the development of a comprehensive water-management plan for the Tribe’s jurisdictional area. In this study, water-quality data from 155 water wells, collected from 1948 to 2011, were retrieved from the U.S. Geological Survey National Water Information System database; these data include measurements of pH, specific conductance, and hardness and concentrations of the major ions, trace elements, and radionuclides that have Maximum Contaminant Levels or Secondary Maximum Contaminant Levels in public drinking-water supplies. Information about well characteristics includes ranges of well yield and well depth of private water wells in the study area and was compiled from the Oklahoma Water Resources Board Multi-Purpose Well Completion Report database. This report also shows depth to water from land surface by using shaded 30-foot contours that were created by using a geographic information system and spatial layers of a 2009 potentiometric surface (groundwater elevation) and land-surface elevation.\n\nWells in the study area produce water from the North Canadian River alluvial and terrace aquifers, the underlying Garber Sandstone and Wellington Formation that compose the Garber–Wellington aquifer, and the Chase, Council Grove, and Admire Groups. Water quality varies substantially between the alluvial and terrace aquifers and bedrock aquifers in the study area. Water from the alluvial aquifer has relatively high concentrations of dissolved solids and generally is used for livestock only, whereas water from the terrace aquifer has low concentrations of dissolved solids and is used extensively by households in the study area. Water from the bedrock aquifer also is used extensively by households but may have high concentrations of trace elements, including uranium, in some areas where groundwater pH is above 8.0.\n\nWell yields vary and are dependent on aquifer characteristics and well-completion practices. Well yields in the unconsolidated alluvial and terrace aquifers generally are higher than yields from bedrock aquifers but are limited by the thickness and extent of these river deposits. Well yields in the alluvium and terrace aquifers commonly range from 50 to 150 gallons per minute and may exceed 300 gallons per minute, whereas well yields in the bedrock aquifers commonly range from 25 to 50 gallons per minute in the western one-third of study area (Oklahoma County) and generally less than 25 gallons per minute in the eastern two-thirds of the study area (Lincoln and Pottawatomie Counties).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121255","collaboration":"Prepared in cooperation with the Kickapoo Tribe of Oklahoma","usgsCitation":"Becker, C., 2013, Groundwater quality and water-well characteristics in the Kickapoo Tribe of Oklahoma Jurisdictional Area, central Oklahoma, 1948--2011: U.S. Geological Survey Open-File Report 2012-1255, iv, 32 p.; Maps: 2 Sheets: 17 x 22 inches, https://doi.org/10.3133/ofr20121255.","productDescription":"iv, 32 p.; Maps: 2 Sheets: 17 x 22 inches","numberOfPages":"39","additionalOnlineFiles":"Y","temporalStart":"1948-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":274808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121255.gif"},{"id":274806,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1255/Plate%201.pdf"},{"id":274807,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1255/Plate%202.pdf"},{"id":274804,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1255/"},{"id":274805,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1255/OFR_2012-1255.pdf"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Kickapoo Tribe Of Oklahoma Jurisdictional Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.333333,35.25 ], [ -97.333333,35.833333 ], [ -96.833333,35.833333 ], [ -96.833333,35.25 ], [ -97.333333,35.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd22d8e4b0f72b44719c1b","contributors":{"authors":[{"text":"Becker, Carol 0000-0001-6652-4542 cjbecker@usgs.gov","orcid":"https://orcid.org/0000-0001-6652-4542","contributorId":2489,"corporation":false,"usgs":true,"family":"Becker","given":"Carol","email":"cjbecker@usgs.gov","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480654,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046941,"text":"sir20135128 - 2013 - Erosion monitoring along the Coosa River below Logan Martin Dam near Vincent, Alabama, using terrestrial light detection and ranging (T-LiDAR) technology","interactions":[],"lastModifiedDate":"2013-07-09T15:28:27","indexId":"sir20135128","displayToPublicDate":"2013-07-09T15:19:00","publicationYear":"2013","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":"2013-5128","title":"Erosion monitoring along the Coosa River below Logan Martin Dam near Vincent, Alabama, using terrestrial light detection and ranging (T-LiDAR) technology","docAbstract":"Alabama Power operates a series of dams on the Coosa River in east central Alabama. These dams form six reservoirs that provide power generation, flood control, recreation, economic opportunity, and fish and wildlife habitats to the region. The Logan Martin Reservoir is located approximately 45 kilometers east of Birmingham and borders Saint Clair and Talladega Counties. Discharges below the reservoir are controlled by power generation at Logan Martin Dam, and there has been an ongoing concern about the stability of the streambanks downstream of the dam. The U.S. Geological Survey, in cooperation with Alabama Power conducted a scientific investigation of the geomorphic conditions of a 115-meter length of streambank along the Coosa River by using tripod-mounted terrestrial light detection and ranging technology. Two surveys were conducted before and after the winter flood season of 2010 to determine the extent and magnitude of geomorphic change. A comparison of the terrestrial light detection and ranging datasets indicated that approximately 40 cubic meters of material had been eroded from the upstream section of the study area. The terrestrial light detection and ranging data included in this report consist of electronic point cloud files containing several million georeferenced data points, as well as a surface model measuring changes between scans.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135128","collaboration":"Prepared in cooperation with the Alabama Power","usgsCitation":"Kimbrow, D.R., and Lee, K., 2013, Erosion monitoring along the Coosa River below Logan Martin Dam near Vincent, Alabama, using terrestrial light detection and ranging (T-LiDAR) technology: U.S. Geological Survey Scientific Investigations Report 2013-5128, iv, 9 p., https://doi.org/10.3133/sir20135128.","productDescription":"iv, 9 p.","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":274803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135128.gif"},{"id":274801,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5128/"},{"id":274802,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5128/pdf/sir2013-5128.pdf"}],"country":"United States","state":"Alabama","county":"Shelby County","city":"Vincent","otherGeospatial":"Coosa River;Logan Martin Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.345833,33.4125 ], [ -86.345833,33.429167 ], [ -86.333333,33.429167 ], [ -86.333333,33.4125 ], [ -86.345833,33.4125 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd22d8e4b0f72b44719c17","contributors":{"authors":[{"text":"Kimbrow, Dustin R. dkimbrow@usgs.gov","contributorId":3915,"corporation":false,"usgs":true,"family":"Kimbrow","given":"Dustin","email":"dkimbrow@usgs.gov","middleInitial":"R.","affiliations":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Kathryn G.","contributorId":108009,"corporation":false,"usgs":true,"family":"Lee","given":"Kathryn G.","affiliations":[],"preferred":false,"id":480653,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046786,"text":"sim3248 - 2013 - Geologic map of the Jam Up Cave and Pine Crest quadrangles, Shannon, Texas, and Howell Counties, Missouri","interactions":[],"lastModifiedDate":"2013-07-08T11:25:39","indexId":"sim3248","displayToPublicDate":"2013-07-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3248","title":"Geologic map of the Jam Up Cave and Pine Crest quadrangles, Shannon, Texas, and Howell Counties, Missouri","docAbstract":"The Jam Up Cave and Pine Crest 7.5-minute quadrangles are located in south-central Missouri within the Salem Plateau region of the Ozark Plateaus physiographic province. About 2,400 to 3,100 feet (ft) of flat-lying to gently dipping Lower Paleozoic sedimentary rocks, mostly dolomite, chert, sandstone, and orthoquartzite, overlie Mesoproterozoic igneous basement rocks. Unconsolidated residuum, colluvium, terrace deposits, and alluvium overlie the sedimentary rocks. Numerous karst features, such as sinkholes, caves, and springs, have formed in the carbonate rocks. Many streams are spring fed. The topography is a dissected karst plain with elevations ranging from about 690 ft where the Jacks Fork River exits the northeastern corner of the Jam Up Cave quadrangle to about 1,350 ft in upland areas along the north-central edge and southwestern corner of the Pine Crest quadrangle. The most prominent physiographic feature is the valley of the Jacks Fork River. This reach of the upper Jacks Fork, with its clean, swiftly-flowing water confined by low cliffs and bluffs, provides one of the most beautiful canoe float trips in the nation. Most of the land in the quadrangles is privately owned and used primarily for grazing cattle and horses and growing timber. A large minority of the land within the quadrangles is publicly owned by the Ozark National Scenic Riverways of the National Park Service. Geologic mapping for this investigation was conducted in 2005 and 2006.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3248","usgsCitation":"Weary, D.J., Orndorff, R.C., and Repetski, J.E., 2013, Geologic map of the Jam Up Cave and Pine Crest quadrangles, Shannon, Texas, and Howell Counties, Missouri: U.S. Geological Survey Scientific Investigations Map 3248, SIM 3248: 53.89 inches x 39.85 inches; Downloads Directory; Metadata, Shape Files, https://doi.org/10.3133/sim3248.","productDescription":"SIM 3248: 53.89 inches x 39.85 inches; Downloads Directory; Metadata, Shape Files","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":274540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3248.gif"},{"id":274539,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3248/Downloads/SIM3248_shapefiles.zip"},{"id":274537,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3248/Downloads"},{"id":274538,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3248/Downloads/metadata_attribute.zip"},{"id":274535,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3248/"},{"id":274536,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3248/pdf/sim3248.pdf"}],"scale":"24000","projection":"Universe Transverse Mercator, zone 15","datum":"North American Datum of 1927","country":"United States","state":"Missouri","county":"Howell County;Shannon County;Texas County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.750,37.000 ], [ -91.750,37.125 ], [ -91.500,37.125 ], [ -91.500,37.000 ], [ -91.750,37.000 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dbd14ee4b0f81004b77c96","contributors":{"authors":[{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":480250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"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":480252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","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":480251,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046781,"text":"sim3262 - 2013 - Flood-inundation maps for the Saddle River from Upper Saddle River Borough to Saddle River Borough, New Jersey, 2013","interactions":[],"lastModifiedDate":"2013-07-05T11:58:23","indexId":"sim3262","displayToPublicDate":"2013-07-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3262","title":"Flood-inundation maps for the Saddle River from Upper Saddle River Borough to Saddle River Borough, New Jersey, 2013","docAbstract":"Digital flood-inundation maps for a 4.1-mile reach of the Saddle River from 0.6 miles downstream from the New Jersey-New York State boundary in Upper Saddle River Borough to 0.2 miles downstream from the East Allendale Road bridge in Saddle River Borough, New Jersey, were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection (NJDEP). The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to select water levels (stages) at the USGS streamgage 01390450, Saddle River at Upper Saddle River, New Jersey. Current conditions for estimating near real-time areas of inundation using USGS streamgage information may be obtained on the Internet at http://waterdata.usgs.gov/nwis/uv?site_no=01390450. The National Weather Service (NWS) forecasts flood hydrographs at many places that are often collocated with USGS streamgages. NWS-forecasted peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.\n\nIn this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the most current stage-discharge relations (in effect March 2013) at USGS streamgage 01390450, Saddle River at Upper Saddle River, New Jersey, and documented high-water marks from recent floods. The hydraulic model was then used to determine eight water-surface profiles for flood stages at 0.5-foot (ft) intervals referenced to the streamgage datum, North American Vertical Datum of 1988 (NAVD 88), and ranging from bankfull, 0.5 ft below NWS Action Stage, to the upper extent of the stage-discharge rating which is approximately 1 ft higher than the highest recorded water level at the streamgage. Action Stage is the stage which when reached by a rising stream the NWS or a partner needs to take some type of mitigation action in preparation for possible significant hydrologic activity. The simulated water-surface profiles were then combined with a geographic information system 3-meter (9.84 ft) digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level.\n\nThe availability of these maps along with real-time streamflow data and information regarding current stage from USGS streamgages and forecasted stream stages from the NWS provide emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3262","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Watson, K.M., and Hoppe, H.L., 2013, Flood-inundation maps for the Saddle River from Upper Saddle River Borough to Saddle River Borough, New Jersey, 2013: U.S. Geological Survey Scientific Investigations Map 3262, Pamphlet: vi, 8 p.; Maps: 8 Sheets: 17 x 22 inches; Downloads Directory, https://doi.org/10.3133/sim3262.","productDescription":"Pamphlet: vi, 8 p.; Maps: 8 Sheets: 17 x 22 inches; Downloads Directory","additionalOnlineFiles":"Y","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":274498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3262.png"},{"id":274490,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_40.pdf"},{"id":274488,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3262/downloads/sim3262-pamphlet.pdf"},{"id":274489,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_30.pdf"},{"id":274491,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_35.pdf"},{"id":274492,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_45.pdf"},{"id":274493,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_50.pdf"},{"id":274494,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_55.pdf"},{"id":274495,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_60.pdf"},{"id":274496,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_65.pdf"},{"id":274497,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3262/downloads"},{"id":274499,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3262"}],"country":"United States","state":"New Jersey","otherGeospatial":"Saddle River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.120833,41.025 ], [ -74.120833,41.083333 ], [ -74.063889,41.083333 ], [ -74.063889,41.025 ], [ -74.120833,41.025 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d7dcd4e4b0b0351701e17b","contributors":{"authors":[{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoppe, Heidi L. hhoppe@usgs.gov","contributorId":1513,"corporation":false,"usgs":true,"family":"Hoppe","given":"Heidi","email":"hhoppe@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":480241,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046782,"text":"sim3256 - 2013 - Comparative mineral mapping in the Colorado Mineral Belt using AVIRIS and ASTER remote sensing data","interactions":[],"lastModifiedDate":"2013-07-05T13:09:59","indexId":"sim3256","displayToPublicDate":"2013-07-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3256","title":"Comparative mineral mapping in the Colorado Mineral Belt using AVIRIS and ASTER remote sensing data","docAbstract":"This report presents results of interpretation of spectral remote sensing data covering the eastern Colorado Mineral Belt in central Colorado, USA, acquired by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensors. This study was part of a multidisciplinary mapping and data integration project at the U.S. Geological Survey that focused on long-term resource planning by land-managing entities in Colorado.\n\nThe map products were designed primarily for the regional mapping and characterization of exposed surface mineralogy, including that related to hydrothermal alteration and supergene weathering of pyritic rocks. Alteration type was modeled from identified minerals based on standard definitions of alteration mineral assemblages. Vegetation was identified using the ASTER data and subdivided based on per-pixel chlorophyll content (depth of 0.68 micrometer absorption band) and dryness (fit and depth of leaf biochemical absorptions in the shortwave infrared spectral region). The vegetation results can be used to estimate the abundance of fire fuels at the time of data acquisition (2002 and 2003). The AVIRIS- and ASTER-derived mineral mapping results can be readily compared using the toggleable layers in the GeoPDF file, and by using the provided GIS-ready raster datasets.\n\nThe results relating to mineral occurrence and distribution were an important source of data for studies documenting the effects of mining and un-mined, altered rocks on aquatic ecosystems at the watershed level. These studies demonstrated a high correlation between metal concentrations in streams and the presence of hydrothermal alteration and (or) pyritic mine waste as determined by analysis of the map products presented herein. The mineral mapping results were also used to delineate permissive areas for various mineral deposit types.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3256","usgsCitation":"Rockwell, B.W., 2013, Comparative mineral mapping in the Colorado Mineral Belt using AVIRIS and ASTER remote sensing data: U.S. Geological Survey Scientific Investigations Map 3256, Pamphlet: iv, 8 p.; Map: 1 Sheet: 50 x 108 inches; Downloads Directory, https://doi.org/10.3133/sim3256.","productDescription":"Pamphlet: iv, 8 p.; Map: 1 Sheet: 50 x 108 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":274504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3256.gif"},{"id":274500,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3256/"},{"id":274501,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3256/downloads/pdf/SIM3256_pamphlet.pdf"},{"id":274502,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3256/downloads/GeoPDF/SIM3256_map.pdf"},{"id":274503,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3256/downloads/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0603,36.9924 ], [ -109.0603,41.0034 ], [ -102.0409,41.0034 ], [ -102.0409,36.9924 ], [ -109.0603,36.9924 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d7dccfe4b0b0351701e177","contributors":{"authors":[{"text":"Rockwell, Barnaby W. 0000-0002-9549-0617 barnabyr@usgs.gov","orcid":"https://orcid.org/0000-0002-9549-0617","contributorId":2195,"corporation":false,"usgs":true,"family":"Rockwell","given":"Barnaby","email":"barnabyr@usgs.gov","middleInitial":"W.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":480243,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046780,"text":"sir20135120 - 2013 - Optimization of water-level monitoring networks in the eastern Snake River Plain aquifer using a kriging-based genetic algorithm method","interactions":[],"lastModifiedDate":"2013-07-03T13:36:06","indexId":"sir20135120","displayToPublicDate":"2013-07-03T00:00:00","publicationYear":"2013","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":"2013-5120","title":"Optimization of water-level monitoring networks in the eastern Snake River Plain aquifer using a kriging-based genetic algorithm method","docAbstract":"Long-term groundwater monitoring networks can provide essential information for the planning and management of water resources. Budget constraints in water resource management agencies often mean a reduction in the number of observation wells included in a monitoring network. A network design tool, distributed as an R package, was developed to determine which wells to exclude from a monitoring network because they add little or no beneficial information. A kriging-based genetic algorithm method was used to optimize the monitoring network. The algorithm was used to find the set of wells whose removal leads to the smallest increase in the weighted sum of the (1) mean standard error at all nodes in the kriging grid where the water table is estimated, (2) root-mean-squared-error between the measured and estimated water-level elevation at the removed sites, (3) mean standard deviation of measurements across time at the removed sites, and (4) mean measurement error of wells in the reduced network. The solution to the optimization problem (the best wells to retain in the monitoring network) depends on the total number of wells removed; this number is a management decision. The network design tool was applied to optimize two observation well networks monitoring the water table of the eastern Snake River Plain aquifer, Idaho; these networks include the 2008 Federal-State Cooperative water-level monitoring network (Co-op network) with 166 observation wells, and the 2008 U.S. Geological Survey-Idaho National Laboratory water-level monitoring network (USGS-INL network) with 171 wells. Each water-level monitoring network was optimized five times: by removing (1) 10, (2) 20, (3) 40, (4) 60, and (5) 80 observation wells from the original network. An examination of the trade-offs associated with changes in the number of wells to remove indicates that 20 wells can be removed from the Co-op network with a relatively small degradation of the estimated water table map, and 40 wells can be removed from the USGS-INL network before the water table map degradation accelerates. The optimal network designs indicate the robustness of the network design tool. Observation wells were removed from high well-density areas of the network while retaining the spatial pattern of the existing water-table map.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135120","collaboration":"DOE/ID-22224 Prepared in cooperation with the Bureau of Reclamation and U.S. Department of Energy","usgsCitation":"Fisher, J.C., 2013, Optimization of water-level monitoring networks in the eastern Snake River Plain aquifer using a kriging-based genetic algorithm method: U.S. Geological Survey Scientific Investigations Report 2013-5120, viii, 73 p.; Appendixes A-B, https://doi.org/10.3133/sir20135120.","productDescription":"viii, 73 p.; Appendixes A-B","numberOfPages":"86","additionalOnlineFiles":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":274477,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5120/pdf/sir20135120_appendixA.pdf"},{"id":274478,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5120/pdf/sir20135120_appendixB.pdf"},{"id":274475,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5120/"},{"id":274476,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5120/pdf/sir20135120.pdf"},{"id":274479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135120.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Eastern Snake River Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.5,42.0 ], [ -115.5,44.5 ], [ -111.0,44.5 ], [ -111.0,42.0 ], [ -115.5,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d539d5e4b011afeb0c75cb","contributors":{"authors":[{"text":"Fisher, Jason C. 0000-0001-9032-8912 jfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-9032-8912","contributorId":2523,"corporation":false,"usgs":true,"family":"Fisher","given":"Jason","email":"jfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480240,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046777,"text":"sir20135070 - 2013 - Geohydrology, water quality, and simulation of groundwater flow in the stratified-drift aquifer system in Virgil Creek and Dryden Lake Valleys, Town of Dryden, Tompkins County, New York","interactions":[],"lastModifiedDate":"2016-01-11T08:55:33","indexId":"sir20135070","displayToPublicDate":"2013-07-03T00:00:00","publicationYear":"2013","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":"2013-5070","title":"Geohydrology, water quality, and simulation of groundwater flow in the stratified-drift aquifer system in Virgil Creek and Dryden Lake Valleys, Town of Dryden, Tompkins County, New York","docAbstract":"<p>In 2002, the U.S. Geological Survey, in cooperation with the Tompkins County Planning Department and the Town of Dryden, New York, began a study of the stratified-drift aquifer system in the Virgil Creek and Dryden Lake Valleys in the Town of Dryden, Tompkins County. The study provided geohydrologic data needed by the town and county to develop a strategy to manage and protect their water resources. In this study area, three extensive confined sand and gravel aquifers (the upper, middle, and lower confined aquifers) compose the stratified-drift aquifer system. The Dryden Lake Valley is a glaciated valley oriented parallel to the direction of ice movement. Erosion by ice extensively widened and deepened the valley, truncated bedrock hillsides, and formed a nearly straight, U-shaped bedrock trough. The maximum thickness of the valley fill in the central part of the valley is about 400 feet (ft). The Virgil Creek Valley in the east part of the study area underwent less severe erosion by ice than the Dryden Lake Valley, and hence, it has a bedrock floor that is several hundred feet higher in altitude than that in the Dryden Lake Valley. The sources and amounts of recharge were difficult to identify in most areas because the confined aquifers are overlain by confining units. However, in the vicinity of the Virgil Creek Dam, the upper confined aquifer crops out at land surface in the floodplain of a gorge eroded by Virgil Creek, and this is where the aquifer receives large amounts of recharge from precipitation that directly falls over the aquifer and from seepage losses from Virgil Creek. The results of streamflow measurements made in Virgil Creek where it flows through the gorge indicated that the stream lost 1.2 cubic feet per second (ft<sup>3</sup>/s) or 0.78 million gallons per day (Mgal/d) of water in the reach extending from 220 ft downstream from the dam to 1,200 ft upstream from the dam. In the southern part of the study area, large amounts of recharge also replenish the stratified-drift aquifers at the Valley Heads Moraine, which consists of heterogeneous sediments including coarse-grained outwash and kame sediments, as well as zones containing till with a fine-grained matrix. In the southern part of the study area, the confining units are thin and likely to be discontinuous in some places, resulting in windows of permeable sediment, which can more readily transmit recharge from precipitation and from tributaries that lose water as they flow over the valley floor. In contrast, in the northern part of the study area, the confining units are thick, continuous, and comprise homogeneous fine-grained sediments that more effectively confine the aquifers than in the southern part of the study area. Most groundwater in the northern part of the study area discharges to the Village of Dryden municipal production wells, to the outlet to Dryden Lake, to Virgil Creek, and as groundwater underflow that exits the northern boundary of the study area. Most northward-flowing groundwater in the southern part of the study area discharges to Dryden Lake, to the inlet to Dryden Lake, and to homeowner, nonmunicipal community (a mobile home community and several apartments), and commercial wells. Most of this pumped water is returned to the groundwater system via septic systems. Most southward-flowing groundwater in the southern part of the study area discharges to the headwaters of Owego Creek and to agricultural wells; some flow also exits the southern boundary of the study area as groundwater underflow. The largest user of groundwater in the study area is the Village of Dryden. Water use in the village has approximately tripled between the early 1970s when withdrawals ranged between 18 and 30 million gallons per year (Mgal/yr) and from 2000 through 2008 when withdrawals ranged between 75 and 85 Mgal/yr. The estimated groundwater use by homeowners, nonmunicipal communities, and small commercial facilities outside the area supplied by the Village of Dryden municipal wells is estimated to be about 18.4 Mgal/yr. Most of this pumped water is returned to the groundwater system via septic systems. For this investigation, an aquifer test was conducted at the Village of Dryden production well TM 981 (finished in the middle confined aquifer at a well depth of 72 ft) at the Jay Street pumping station during June 19&ndash;21, 2007. The aquifer test consisted of pumping production well TM 981 at 104 gallons per minute over a 24-hour period. The drawdown in well TM 981 at the end of 24 hours of pumping was 19.2 ft. Results of the aquifer-test analysis for a partially penetrating well in a confined aquifer indicated that the transmissivity was 1,560 feet squared per day, and the horizontal hydraulic conductivity was 87 feet per day, based on a saturated thickness of 18 ft. During 2003&ndash;5, 14 surface-water samples were collected at 8 sites, including Virgil Creek, Dryden Lake outlet, and several tributaries. During 2003 through 2009, eight groundwater samples were collected from eight wells, including three municipal production wells, two test wells, and three domestic wells. Calcium dominates the cation composition, and bicarbonate dominates the anion composition in most groundwater and surface-water samples. None of the common inorganic constituents collected exceeded any Federal or State water-quality standards. Results from a three-dimensional, finite-difference groundwater-flow model were used to compute a water budget and to estimate the areal extent of the zone of groundwater contribution to the Village of Dryden municipal production wells. The model-computed water budget indicated that the sources of recharge to the confined aquifer system are precipitation that falls directly on the valley-fill sediments (40 percent of total recharge), stream leakage (35.5 percent), seepage from wetlands and ponds (12 percent), unchanneled runoff and groundwater inflow from the uplands (8.5 percent), and groundwater underflow into the eastern end of the model area (4 percent). Most groundwater discharges to surface-water bodies, including Dryden Lake (33 percent), streams (33 percent), and wetlands and ponds (10 percent of the total). In addition, some groundwater discharges as underflow out of the southern and northern ends of the model area (15 percent), to simulated pumping wells (4.5 percent), and to drains that represent seepage from the bluffs exposed in the gorge in the vicinity of the Virgil Creek Dam (4.5 percent). The areal extents of the zones of groundwater contribution for Village of Dryden municipal production wells TM 202 (Lake Road pump station, finished in the upper confined aquifer) and TM 981 (Jay Street pump station, finished in the middle confined aquifer) are 0.5 square mile (mi<sup>2</sup>) and 0.9 mi<sup>2</sup>, respectively. The areal extent of the zone of contribution to production well TM 202 extends 2.2 miles (mi) southeast into the Virgil Creek Valley, whereas production well TM 981 extends 3.8 mi south in the Dryden Lake Valley. The areal extent of the zone of contribution to production well TM1046 (South Street pump station) is 1.4 mi<sup>2</sup> and extends 2.4 mi into Dryden Lake Valley and 0.5 mi into Virgil Creek Valley.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135070","collaboration":"Prepared in cooperation with the Town of Dryden and theTompkins County Planning Department","usgsCitation":"Miller, T.S., and Bugliosi, E.F., 2013, Geohydrology, water quality, and simulation of groundwater flow in the stratified-drift aquifer system in Virgil Creek and Dryden Lake Valleys, Town of Dryden, Tompkins County, New York: U.S. Geological Survey Scientific Investigations Report 2013-5070, ix, 104 p.; Figures 8, 13, 18: 3 Sheets: 30 x 38 inches, https://doi.org/10.3133/sir20135070.","productDescription":"ix, 104 p.; Figures 8, 13, 18: 3 Sheets: 30 x 38 inches","numberOfPages":"118","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":274464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135070.gif"},{"id":274461,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5070/pdf/sir2013-5070_miller_fig08_sheet.pdf","text":"Plate 08"},{"id":274462,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5070/pdf/sir2013-5070_miller_fig18_11x17.pdf","text":"Plate 18"},{"id":274459,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5070/"},{"id":274460,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5070/pdf/sir2013-5070_miller_508.pdf","text":"Report"},{"id":274463,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5070/pdf/sir2013-5070_miller_fig13_11x17.pdf","text":"Plate 13"}],"country":"United States","state":"New York","county":"Tompkins County","city":"Dryden","otherGeospatial":"Virgil Creek Valley;Dryden Lake Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.314059,42.479558 ], [ -76.314059,42.50096 ], [ -76.286107,42.50096 ], [ -76.286107,42.479558 ], [ -76.314059,42.479558 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d539d4e4b011afeb0c75c3","contributors":{"authors":[{"text":"Miller, Todd S. tsmiller@usgs.gov","contributorId":1190,"corporation":false,"usgs":true,"family":"Miller","given":"Todd","email":"tsmiller@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bugliosi, Edward F. ebuglios@usgs.gov","contributorId":1083,"corporation":false,"usgs":true,"family":"Bugliosi","given":"Edward","email":"ebuglios@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480219,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048502,"text":"70048502 - 2013 - Modeling the colonization of Hawaii by hoary bats (<i>Lasiurus cinereus</i>)","interactions":[],"lastModifiedDate":"2013-11-15T10:23:34","indexId":"70048502","displayToPublicDate":"2013-07-01T15:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Modeling the colonization of Hawaii by hoary bats (<i>Lasiurus cinereus</i>)","docAbstract":"The Hawaiian archipelago, the most isolated cluster of islands on Earth, has been colonized successfully twice by bats. The putative “lava tube bat” of Hawaii is extinct, whereas the Hawaiian Hoary Bat, Lasiurus cinereus semotus, survives as an endangered species. We conducted a three-stage analysis to identify conditions under which hoary bats originally colonized Hawaii. We used FLIGHT to determine if stores of fat would provide the energy necessary to fly from the Farallon Islands (California) to Hawaii, a distance of 3,665 km. The Farallons are a known stopover and the closest landfall to Hawaii for hoary bats during migrations within North America. Our modeling variables included physiological, morphological, and behavioral data characterizing North American Hoary Bat populations. The second step of our modeling process investigated the potential limiting factor of water during flight. The third step in our modeling examines the role that prevailing trade winds may have played in colonization flights. Of our 36 modeling scenarios, 17 (47 %) require tailwind assistance within the range of observed wind speeds, and 7 of these scenarios required <10 m s<sup>−1</sup> tailwinds as regularly expected due to easterly trade winds. Therefore the climatic conditions needed for bats to colonize Hawaii may not occur infrequently either in contemporary times or since the end of the Pleistocene. Hawaii’s hoary bats have undergone divergence from mainland populations resulting in smaller body size and unique pelage color.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bat Evolution, Ecology, and Conservation","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Springer","publisherLocation":"New York","doi":"10.1007/978-1-4614-7397-8_10","isbn":"9781461473961","usgsCitation":"Bonaccorso, F., and McGuire, L.P., 2013, Modeling the colonization of Hawaii by hoary bats (<i>Lasiurus cinereus</i>), chap. <i>of</i> Bat Evolution, Ecology, and Conservation, p. 187-205, https://doi.org/10.1007/978-1-4614-7397-8_10.","productDescription":"19 p.","startPage":"187","endPage":"205","numberOfPages":"19","ipdsId":"IP-038836","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":278661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278660,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/978-1-4614-7397-8_10"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -178.31,18.91 ], [ -178.31,28.4 ], [ -154.81,28.4 ], [ -154.81,18.91 ], [ -178.31,18.91 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2013-07-08","publicationStatus":"PW","scienceBaseUri":"5274cd7ee4b089748f072438","contributors":{"authors":[{"text":"Bonaccorso, Frank J.","contributorId":73089,"corporation":false,"usgs":true,"family":"Bonaccorso","given":"Frank J.","affiliations":[],"preferred":false,"id":484859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Liam P.","contributorId":66161,"corporation":false,"usgs":true,"family":"McGuire","given":"Liam","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484858,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70124303,"text":"70124303 - 2013 - Nest site characteristics and nesting success of the Western Burrowing Owl in the eastern Mojave Desert","interactions":[],"lastModifiedDate":"2014-09-11T11:41:34","indexId":"70124303","displayToPublicDate":"2013-07-01T11:38:00","publicationYear":"2013","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":"Nest site characteristics and nesting success of the Western Burrowing Owl in the eastern Mojave Desert","docAbstract":"We evaluated nest site selection at two spatial scales (microsite, territory) and reproductive success of Western Burrowing Owls (<i>Athene cunicularia hypugaea</i>) at three spatial scales (microsite, territory, landscape) in the eastern Mojave Desert. We used binary logistic regression within an information-theoretic approach to assess factors influencing nest site choice and nesting success. Microsite-scale variables favored by owls included burrows excavated by desert tortoise (<i>Gopherus agassizii</i>), burrows with a large mound of excavated soil at the entrance, and a greater number of satellite burrows within 5 m of the nest burrow. At the territory scale, owls preferred patches with greater cover of creosote bush (<i>Larrea tridentata</i>) within 50 m of the nest burrow. An interaction between the presence or absence of a calcic soil horizon layer over the top of the burrow (microsite) and the number of burrows within 50 m (territory) influenced nest site choice. Nesting success was influenced by a greater number of burrows within 5 m of the nest burrow. Total cool season precipitation was a predictor of nesting success at the landscape scale. Conservation strategies can rely on management of habitat for favored and productive nesting sites for this declining species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Arid Environments","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2013.03.004","usgsCitation":"Longshore, K., and Crowe, D.E., 2013, Nest site characteristics and nesting success of the Western Burrowing Owl in the eastern Mojave Desert: Journal of Arid Environments, v. 94, p. 113-120, https://doi.org/10.1016/j.jaridenv.2013.03.004.","productDescription":"8 p.","startPage":"113","endPage":"120","numberOfPages":"8","ipdsId":"IP-009777","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293683,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jaridenv.2013.03.004"}],"country":"United States","state":"Arizona;Nevada","otherGeospatial":"Colorado River;Lake Mead National Recreation Area;Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.9219,35.1716 ], [ -114.9219,36.5914 ], [ -113.1359,36.5914 ], [ -113.1359,35.1716 ], [ -114.9219,35.1716 ] ] ] } } ] }","volume":"94","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412b9b4e4b0239f1986babc","contributors":{"authors":[{"text":"Longshore, Kathleen M.","contributorId":100768,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen M.","affiliations":[],"preferred":false,"id":500686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crowe, Dorothy E. dcrowe@usgs.gov","contributorId":3969,"corporation":false,"usgs":true,"family":"Crowe","given":"Dorothy","email":"dcrowe@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":500685,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048579,"text":"70048579 - 2013 - Delivering integrated HAZUS-MH flood loss analyses and flood inundation maps over the Web","interactions":[],"lastModifiedDate":"2013-10-24T11:17:54","indexId":"70048579","displayToPublicDate":"2013-07-01T11:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2246,"text":"Journal of Emergency Management","active":true,"publicationSubtype":{"id":10}},"title":"Delivering integrated HAZUS-MH flood loss analyses and flood inundation maps over the Web","docAbstract":"Catastrophic flooding is responsible for more loss of life and damages to property than any other natural hazard. Recently developed flood inundation mapping technologies make it possible to view the extent and depth of flooding on the land surface over the Internet; however, by themselves these technologies are unable to provide estimates of losses to property and infrastructure. The Federal Emergency Management Agency’s (FEMA's) HAZUS-MH software is extensively used to conduct flood loss analyses in the United States, providing a nationwide database of population and infrastructure at risk. Unfortunately, HAZUS-MH requires a dedicated Geographic Information System (GIS) workstation and a trained operator, and analyses are not adapted for convenient delivery over the Web. This article describes a cooperative effort by the US Geological Survey (USGS) and FEMA to make HAZUS-MH output GIS and Web compatible and to integrate these data with digital flood inundation maps in USGS’s newly developed Inundation Mapping Web Portal. By running the computationally intensive HAZUS-MH flood analyses offline and converting the output to a Web-GIS compatible format, detailed estimates of flood losses can now be delivered to anyone with Internet access, thus dramatically increasing the availability of these forecasts to local emergency planners and first responders.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Emergency Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Prime National Publication Corporation","doi":"10.5055/jem.2013.0145","usgsCitation":"Hearn, Longenecker, H.E., Aguinaldo, J.J., and Rahav, A.N., 2013, Delivering integrated HAZUS-MH flood loss analyses and flood inundation maps over the Web: Journal of Emergency Management, v. 11, no. 4, p. 293-302, https://doi.org/10.5055/jem.2013.0145.","productDescription":"10 p.","startPage":"293","endPage":"302","numberOfPages":"10","ipdsId":"IP-039135","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":278377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278373,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5055/jem.2013.0145"}],"volume":"11","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-02-16","publicationStatus":"PW","scienceBaseUri":"526a416fe4b0c0d229f9f66b","contributors":{"authors":[{"text":"Hearn, Jr. phearn@usgs.gov","contributorId":1950,"corporation":false,"usgs":true,"family":"Hearn","suffix":"Jr.","email":"phearn@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":485124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Longenecker, Herbert E. III","contributorId":105217,"corporation":false,"usgs":true,"family":"Longenecker","given":"Herbert","suffix":"III","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":485127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aguinaldo, John J.","contributorId":73287,"corporation":false,"usgs":true,"family":"Aguinaldo","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rahav, Ami N. arahav@usgs.gov","contributorId":69463,"corporation":false,"usgs":true,"family":"Rahav","given":"Ami","email":"arahav@usgs.gov","middleInitial":"N.","affiliations":[],"preferred":false,"id":485125,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}