{"pageNumber":"333","pageRowStart":"8300","pageSize":"25","recordCount":68855,"records":[{"id":70218226,"text":"70218226 - 2018 - Post-breeding movement and habitat use by wood frogs along an Arctic–Subarctic ecotone","interactions":[],"lastModifiedDate":"2021-02-19T18:27:38.302816","indexId":"70218226","displayToPublicDate":"2018-07-31T12:20:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Post-breeding movement and habitat use by wood frogs along an Arctic–Subarctic ecotone","docAbstract":"<p><span>By altering essential micro- and macrohabitat conditions for many organisms, climate change is already causing disproportionately greater impacts on Arctic and Subarctic ecosystems. Yet there is a lack of basic information about many species in northern latitudes, including amphibians. We used radio telemetry to study the post-breeding movements and habitat use of wood frogs (</span><i>Rana</i><span>&nbsp;[=</span><i>Lithobates</i><span>]&nbsp;</span><i>sylvatica</i><span>) in the Hudson Bay Lowlands near Churchill, Manitoba, Canada. We tracked fifty-seven frogs (thirty-five males, twenty-two females; mean duration&nbsp;=&nbsp;16.8&nbsp;d) from three wetlands during the summers of 2015 and 2016. The three wetlands were representative of the Arctic–Subarctic ecotone, with each wetland surrounded by different proportions of boreal forest and tundra. Our results indicate that at the landscape scale, movement distances increased with temperature, and all frogs spent more time in the tundra habitat than in boreal forests, relative to the availability of each habitat type. At the microhabitat scale (1&nbsp;m</span><sup>2</sup><span>&nbsp;plots), frogs selected areas with greater amounts of standing water, sedge, and shrubs. These results provide information on terrestrial movement patterns and critical habitat data for northern populations of wood frogs in a Subarctic environment, which will aid in understanding how climate change will affect amphibians in this rapidly changing ecosystem.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2018.1487657","usgsCitation":"Bishir, S., Hossack, B., Fishback, L., and Davenport, J.M., 2018, Post-breeding movement and habitat use by wood frogs along an Arctic–Subarctic ecotone: Arctic, Antarctic, and Alpine Research, v. 50, no. 1, e1487657, 9 p., https://doi.org/10.1080/15230430.2018.1487657.","productDescription":"e1487657, 9 p.","ipdsId":"IP-091059","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468556,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2018.1487657","text":"Publisher Index Page"},{"id":383381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Manitoba","otherGeospatial":"Hudson Bay Lowlands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.92417907714844,\n              58.65086973752047\n            ],\n            [\n              -93.65158081054688,\n              58.65086973752047\n            ],\n            [\n              -93.65158081054688,\n              58.73970633523893\n            ],\n            [\n              -93.92417907714844,\n              58.73970633523893\n            ],\n            [\n              -93.92417907714844,\n              58.65086973752047\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Bishir, Stephanie","contributorId":251753,"corporation":false,"usgs":false,"family":"Bishir","given":"Stephanie","email":"","affiliations":[{"id":50394,"text":"1Department of Biology, Southeast Missouri State University, Cape Girardeau, MO, USA 63701","active":true,"usgs":false}],"preferred":false,"id":810496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":810497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fishback, LeeAnn","contributorId":168514,"corporation":false,"usgs":false,"family":"Fishback","given":"LeeAnn","email":"","affiliations":[{"id":25316,"text":"Churchill Northern Studies Centre, P.O. Box 610, Churchill, Manitoba, R0B 0E0, Canada","active":true,"usgs":false}],"preferred":false,"id":810498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davenport, J. M.","contributorId":167622,"corporation":false,"usgs":false,"family":"Davenport","given":"J.","email":"","middleInitial":"M.","affiliations":[{"id":17621,"text":"Southeast Missouri State University","active":true,"usgs":false}],"preferred":false,"id":810499,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194792,"text":"sir20175161 - 2018 - Simulation of zones of groundwater contribution to wells south of the Naval Weapons Industrial Reserve Plant in Bethpage, New York","interactions":[],"lastModifiedDate":"2018-07-31T14:19:31","indexId":"sir20175161","displayToPublicDate":"2018-07-31T12:00:00","publicationYear":"2018","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":"2017-5161","title":"Simulation of zones of groundwater contribution to wells south of the Naval Weapons Industrial Reserve Plant in Bethpage, New York","docAbstract":"<p>A steady-state three-dimensional groundwater-flow model that simulates present conditions was coupled with the particle-tracking program MODPATH to delineate zones of contribution to wells pumping from the Magothy aquifer near a chlorinated volatile organic compound (VOC) plume. This modeling was part of a study by the U.S. Geological Survey in cooperation with the Naval Facilities Engineering Command to delineate groundwater near the Naval Weapons Industrial Reserve Plant in Bethpage, New York. Because rates of advection within the coarse-grained sediments typically exceed 0.1 foot per day, transport by dispersion and (or) diffusion was assumed to be negligible. Resulting zones of contribution are complex shapes, influenced by hydrogeologic features including confining beds and a basal gravel zone, and the interplay of nearby hydrologic stresses. The use of two particle tracking techniques identified zones of contribution to wells. Particles are backtracked from pumping well screens, and particles are forward tracked from the location of a VOC plume, as defined by surfaces of equal total VOC concentration. During any period of 5 years or less, about 1 to 3 percent of particles backtracked from pumping wells within a focus area intersected the 5-part per billion (ppb) VOC plume shell, indicating that the vast majority of particles were not sourced from the plume. During 5 years or less, none of the particles backtracked from pumping wells intersected the 50-ppb VOC plume shell. Forward-tracking techniques identified the fate of water within the VOC plume after 5 years as it moves toward ultimate well capture and (or) discharge to model constant head and drain boundaries. Out of 4,813 forward tracked particles started within the 50-ppb VOC plume shell, 1 forward-tracked particle was captured by well ANY8480. Out of 22,958 forward tracked particles started within the 5-ppb VOC plume shell, 100 were captured by production wells (less than 1 percent). The subset of forward pathlines that represent well plume capture are similar in number and shape to those of backtracked pathlines.</p><p>Model simulations were conducted to assess uncertainties and improve understanding of how variability in hydraulic properties, pumpage rates, and maximum particle traveltime affect delineation of zones of contribution. By use of driller’s’ logs, a transitional probability approach generated nine alternative realizations of heterogeneity within the Magothy aquifer to assess uncertainty in model representation. Fine-grained sediments with low hydraulic conductivity were realized as laterally discontinuous, thickening towards the south, and comprising about 27 percent of the total aquifer volume within the transitional probability subgrid. Model simulations with alternative pumpage rates, porosity terms, and alternative maximum particle traveltime were also used to demonstrate how the size and shape of zones of contribution may vary.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175161","collaboration":"Prepared in cooperation with the Naval Facilities Engineering Command","usgsCitation":"Misut, P.E., 2018, Simulation of zones of groundwater contribution to wells south of the Naval Weapons Industrial Reserve Plant in Bethpage, New York: U.S. Geological Survey Scientific Investigations Report 2017–5161, 45 p., https://doi.org/10.3133/sir20175161.","productDescription":"Report: vii, 45 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-087126","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":355559,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F770809V","text":"USGS data release","description":"USGS data release","linkHelpText":"MODFLOW-2005 model archive for simulation of zones of groundwater contribution to wells south of the Naval Weapons Industrial Reserve Plant in Bethpage, New York"},{"id":355557,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5161/coverthb.jpg"},{"id":355558,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5161/sir20175161.pdf","text":"Report","size":"13.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5161"}],"country":"United States","state":"New York","city":"Bethpage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.5167,\n              40.7167\n            ],\n            [\n              -73.45,\n              40.7167\n            ],\n            [\n              -73.45,\n              40.7667\n            ],\n            [\n              -73.5167,\n              40.7667\n            ],\n            [\n              -73.5167,\n              40.7167\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://ny.water.usgs.gov\" data-mce-href=\"https://ny.water.usgs.gov\">New York Water Science Center</a><br> U.S. Geological Survey<br> 2045 Route 112, Building 4<br> Coram, NY 11727</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Analysis of Zones of Contribution to Wells</li><li>Discussion</li><li>Summary and Conclusion</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. List of Wells Within the Study Area South of the Naval Weapons Industrial Reserve Plant in Bethpage, New York</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2018-07-31","noUsgsAuthors":false,"publicationDate":"2018-07-31","publicationStatus":"PW","scienceBaseUri":"5b6fc3efe4b0f5d57878e947","contributors":{"authors":[{"text":"Misut, Paul E. 0000-0002-6502-5255 pemisut@usgs.gov","orcid":"https://orcid.org/0000-0002-6502-5255","contributorId":1073,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","email":"pemisut@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":725181,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70198521,"text":"70198521 - 2018 - Snowmelt timing regulates community composition, phenology, and physiological performance of alpine plants","interactions":[],"lastModifiedDate":"2018-08-07T11:43:05","indexId":"70198521","displayToPublicDate":"2018-07-31T11:42:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5725,"text":"Frontiers in Plant Science","active":true,"publicationSubtype":{"id":10}},"title":"Snowmelt timing regulates community composition, phenology, and physiological performance of alpine plants","docAbstract":"<p><span>The spatial patterning of alpine plant communities is strongly influenced by the variation in physical factors such as temperature and moisture, which are strongly affected by snow depth and snowmelt patterns. Earlier snowmelt timing and greater soil-moisture limitations may favor wide-ranging species adapted to a broader set of ecohydrological conditions than alpine-restricted species. We asked how plant community composition, phenology, plant water relations, and photosynthetic gas exchange of alpine-restricted and wide-ranging species differ in their responses to a ca. 40-day snowmelt gradient in the Colorado Rocky Mountains (</span><i>Lewisia pygmaea</i><span>,&nbsp;</span><i>Sibbaldia procumbens</i><span>, and&nbsp;</span><i>Hymenoxys grandiflora</i><span>&nbsp;were alpine-restricted and&nbsp;</span><i>Artemisia scopulorum</i><span>,&nbsp;</span><i>Carex rupestris</i><span>, and&nbsp;</span><i>Geum rossii</i><span>&nbsp;were wide-ranging species). As hypothesized, species richness and foliar cover increased with earlier snowmelt, due to a greater abundance of wide-ranging species present in earlier melting plots. Flowering initiation occurred earlier with earlier snowmelt for 12 out of 19 species analyzed, while flowering duration was shortened with later snowmelt for six species (all but one were wide-ranging species). We observed &gt;50% declines in net photosynthesis from July to September as soil moisture and plant water potentials declined. Early-season stomatal conductance was higher in wide-ranging species, indicating a more competitive strategy for water acquisition when soil moisture is high. Even so, there were no associated differences in photosynthesis or transpiration, suggesting no strong differences between these groups in physiology. Our findings reveal that plant species with different ranges (alpine-restricted vs. wide-ranging) could have differential phenological and physiological responses to snowmelt timing and associated soil moisture dry-down, and that alpine-restricted species’ performance is more sensitive to snowmelt. As a result, alpine-restricted species may serve as better indicator species than their wide-ranging heterospecifics. Overall, alpine community composition and peak % cover are strongly structured by spatio-temporal patterns in snowmelt timing. Thus, near-term, community-wide changes (or variation) in phenology and physiology in response to shifts in snowmelt timing or rates of soil dry down are likely to be contingent on the legacy of past climate on community structure.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/fpls.2018.01140","usgsCitation":"Winkler, D.E., Butz, R.J., Germino, M., Reinhardt, K., and Kueppers, L.M., 2018, Snowmelt timing regulates community composition, phenology, and physiological performance of alpine plants: Frontiers in Plant Science, v. 9, p. 1-13, https://doi.org/10.3389/fpls.2018.01140.","productDescription":"Article 1140; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-098795","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468557,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fpls.2018.01140","text":"Publisher Index Page"},{"id":356275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-31","publicationStatus":"PW","scienceBaseUri":"5b6fc3efe4b0f5d57878e949","contributors":{"authors":[{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":741770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butz, Ramona J. 0000-0001-8595-0459","orcid":"https://orcid.org/0000-0001-8595-0459","contributorId":206787,"corporation":false,"usgs":false,"family":"Butz","given":"Ramona","email":"","middleInitial":"J.","affiliations":[{"id":37401,"text":"Humboldt State University, U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":741771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":741769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reinhardt, Keith","contributorId":178543,"corporation":false,"usgs":false,"family":"Reinhardt","given":"Keith","email":"","affiliations":[],"preferred":false,"id":741772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kueppers, Lara M.","contributorId":177736,"corporation":false,"usgs":false,"family":"Kueppers","given":"Lara","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741773,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198063,"text":"sir20185092 - 2018 - Understanding the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida","interactions":[],"lastModifiedDate":"2018-07-31T14:14:01","indexId":"sir20185092","displayToPublicDate":"2018-07-31T10:45:00","publicationYear":"2018","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":"2018-5092","title":"Understanding the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida","docAbstract":"<p>In an effort to simulate the survival of cyanobacteria as<br>they are transported from Lake Okeechobee to the estuarine<br>habitats that receive waters from the lake, a bioassay<br>encompassing a range of salinities was performed. An overall<br>decline in cyanobacteria health in salinity treatments greater<br>than 18 practical salinity units (psu) was indicated by loss of<br>cell membrane integrity based on SYTOX® Green staining,<br>but this loss varied by the kind of cyanobacteria present.<br>Microcystis aeruginosa was tolerant of salinities up to 18 psu;<br>however, higher salinities caused leaking of microcystin from<br>the cells. Dolichospermum circinale, another common bloomformer<br>in this system, did not tolerate salinities greater than<br>7.5 psu. Stimulation of mucilage production was observed and<br>is likely a mechanism used by both species to protect organism<br>viability. At 7.5 psu, microcystin increased relative to<br>chlorophyll-a, providing some evidence of biosynthesis when<br>M. aeruginosa is exposed to this salinity. This study indicates<br>that as freshwater cyanobacteria are transported to brackish<br>and marine waters, there will be a loss of membrane integrity<br>which will lead to the release of cellular microcystin into the<br>surrounding waterbody. Additional research would be needed<br>to determine the exact effect of salinity on this relationship.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185092","isbn":"978-1-4113-4247-7","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Rosen, B.H., Loftin, K.A., Graham, J.L., Stahlhut, K.N., Riley, J.M., Johnston, B.D., and Senegal, S., 2018, Understanding the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida: U.S. Geological Survey Scientific Investigations Report 2018–5092, 32 p., https://doi.org/10.3133/sir20185092.","productDescription":"Report: viii, 32 p.; Data releases","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-094158","costCenters":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"links":[{"id":356002,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P996GAZP ","text":"USGS data release","description":"USGS data release","linkHelpText":"Velocity test data for assessing the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida, July 10 to 13, 2017"},{"id":437815,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P996GAZP","text":"USGS data release","linkHelpText":"Velocity test data for assessing the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida, July 10 to 13, 2017"},{"id":356000,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5092/coverthb.jpg"},{"id":356001,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5092/sir20185092.pdf","text":"Report","size":"3.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5092"},{"id":356003,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FGIVCD","text":"USGS data release","description":"USGS data release","linkHelpText":"Microcystin, chlorophyll, and cell-count data for assessing the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida, July 9 to 17, 2017"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Okeechobee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.24181,\n              26.63331\n            ],\n            [\n              -80.51727,\n              26.63331\n            ],\n            [\n              -80.51727,\n              27.33259\n            ],\n            [\n              -81.24181,\n              27.33259\n            ],\n            [\n              -81.24181,\n              26.63331\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://fl.water.usgs.gov/\" data-mce-href=\"https://fl.water.usgs.gov/\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>4446 Pet Lane<br>Lutz, FL 33559</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary and Conclusions</li><li>References</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2018-07-31","noUsgsAuthors":false,"publicationDate":"2018-07-31","publicationStatus":"PW","scienceBaseUri":"5b6fc3f0e4b0f5d57878e94b","contributors":{"authors":[{"text":"Rosen, Barry H. 0000-0002-8016-3939 brosen@usgs.gov","orcid":"https://orcid.org/0000-0002-8016-3939","contributorId":2844,"corporation":false,"usgs":true,"family":"Rosen","given":"Barry","email":"brosen@usgs.gov","middleInitial":"H.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":739840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":206229,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":739841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":150737,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer L.","email":"jlgraham@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":739842,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stahlhut, Katherine N. 0000-0003-4098-4641","orcid":"https://orcid.org/0000-0003-4098-4641","contributorId":206230,"corporation":false,"usgs":true,"family":"Stahlhut","given":"Katherine","email":"","middleInitial":"N.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739843,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riley, James M.","contributorId":206550,"corporation":false,"usgs":false,"family":"Riley","given":"James","email":"","middleInitial":"M.","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":741054,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnston, Brett D. 0000-0003-2991-4976","orcid":"https://orcid.org/0000-0003-2991-4976","contributorId":206233,"corporation":false,"usgs":true,"family":"Johnston","given":"Brett","email":"","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739845,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Senegal, Sarena 0000-0002-4403-7273","orcid":"https://orcid.org/0000-0002-4403-7273","contributorId":206232,"corporation":false,"usgs":true,"family":"Senegal","given":"Sarena","email":"","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":739844,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70210080,"text":"70210080 - 2018 - Characterizing the Los Angeles Aqueduct crossing of the San Andreas Fault for improved earthquake resilience","interactions":[],"lastModifiedDate":"2020-06-05T12:05:53.100076","indexId":"70210080","displayToPublicDate":"2018-07-31T10:05:49","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Characterizing the Los Angeles Aqueduct crossing of the San Andreas Fault for improved earthquake resilience","docAbstract":"The five-mile-long Elizabeth Tunnel, which crosses the San Andreas fault (SAF) zone near Lake Hughes, California, is part of the Los Angeles Aqueduct (LAA) that delivers water from Owens Valley to the City of Los Angeles. Geologic characterization of the Elizabeth Tunnel alignment is focused on developing a better understanding of fault displacement hazards at the SAF crossing to support design of both short- and long-term strategies to increase the earthquake resilience of the City’s water supply system. The results of this study define a fault zone that is wider and more complex at the surface than at tunnel depth. A 750-ft transect of deep, angled core borings, located ~ 100 ft west of, and parallel to the tunnel alignment, penetrated a wide zone (>550 ft) of fault-damaged granitic and gneissic rocks containing a few thick fault zones that can be correlated confidently between borings as well as a multitude of very thin faults and shears throughout the rock mass. Fault rocks are predominantly defined as coherent cataclasites and ultracataclasites, as opposed to incoherent clay gouge, even at this relatively shallow sampling depth. Integrating geomorphic, geologic, petrographic, and geophysical data defines a steeply south-dipping SAF that splays upward and increases in complexity toward the surface, and provides the basis for engineering design considerations at this critical SAF crossing.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"11th United States National Conference on Earthquake Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"11th National Conference on Earthquake Engineering","conferenceDate":"Jun 25-29, 2018","conferenceLocation":"Los Angeles, CA","language":"English","publisher":"Earthquake Engineering Research Institute (EERI)","usgsCitation":"Lindvall, S., Kerwin, S., Heron, C., Davis, C.A., Tyson, J., Chestnut, J., Mass, K., Farr, M., Scharer, K., and McPhillips, D., 2018, Characterizing the Los Angeles Aqueduct crossing of the San Andreas Fault for improved earthquake resilience, <i>in</i> 11th United States National Conference on Earthquake Engineering, Los Angeles, CA, Jun 25-29, 2018, 10 p.","productDescription":"10 p.","ipdsId":"IP-097258","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":375360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Elizabeth Tunnel, Los Angeles Aqueduct, San Andreas Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.67706298828125,\n              34.49523909266902\n            ],\n            [\n              -118.08242797851562,\n              34.49523909266902\n            ],\n            [\n              -118.08242797851562,\n              34.84311278917537\n            ],\n            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Chris","contributorId":224669,"corporation":false,"usgs":false,"family":"Heron","given":"Chris","email":"","affiliations":[{"id":40910,"text":"Los Angeles Department of Water and Power","active":true,"usgs":false}],"preferred":false,"id":789024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Craig A.","contributorId":171490,"corporation":false,"usgs":false,"family":"Davis","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":789025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tyson, Jeff","contributorId":147298,"corporation":false,"usgs":false,"family":"Tyson","given":"Jeff","affiliations":[],"preferred":false,"id":789026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chestnut, Jim","contributorId":224670,"corporation":false,"usgs":false,"family":"Chestnut","given":"Jim","email":"","affiliations":[{"id":40910,"text":"Los Angeles Department of Water and Power","active":true,"usgs":false}],"preferred":false,"id":789027,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mass, Kevin","contributorId":224671,"corporation":false,"usgs":false,"family":"Mass","given":"Kevin","email":"","affiliations":[{"id":40910,"text":"Los Angeles Department of Water and Power","active":true,"usgs":false}],"preferred":false,"id":789028,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Farr, Mike","contributorId":224672,"corporation":false,"usgs":false,"family":"Farr","given":"Mike","email":"","affiliations":[{"id":40909,"text":"Amec Foster Wheeler","active":true,"usgs":false}],"preferred":false,"id":789029,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":789030,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McPhillips, Devin 0000-0003-1987-9249","orcid":"https://orcid.org/0000-0003-1987-9249","contributorId":217362,"corporation":false,"usgs":true,"family":"McPhillips","given":"Devin","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":789031,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70199871,"text":"70199871 - 2018 - Applications of the California pesticide use reporting database in more than 25 years of U.S. Geological Survey hydrological studies","interactions":[],"lastModifiedDate":"2020-08-19T20:16:22.872629","indexId":"70199871","displayToPublicDate":"2018-07-31T08:22:09","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"15","title":"Applications of the California pesticide use reporting database in more than 25 years of U.S. Geological Survey hydrological studies","docAbstract":"The U.S. Geological Survey (USGS) has been collecting data on the occurrence of pesticides in California surface and ground water since the 1970’s. The design of these studies benefited from the availability of the Pesticide Use Reporting (PUR) database of the California Department of Pesticide Regulation. Actual locations and dates of applications of active ingredient allow for effective design of studies that seek to understand which compounds can be mobilized from the point of application as well as the hydrological or climate-related factors that enhance the off-site transport. Key studies from the 1970’s to the present are discussed here and demonstrate how the USGS both designed studies and improved their analytical methodology to keep up with changes in how pesticides are used in California.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Managing and analyzing pesticide use data for pest management, environmental monitoring, public health, and public policy. ACS Symposium Series, Vol. 1283","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/bk-2018-1283.ch015","usgsCitation":"Domagalski, J.L., and Orlando, J., 2018, Applications of the California pesticide use reporting database in more than 25 years of U.S. Geological Survey hydrological studies, chap. 15 <i>of</i> Managing and analyzing pesticide use data for pest management, environmental monitoring, public health, and public policy. ACS Symposium Series, Vol. 1283, p. 323-346, https://doi.org/10.1021/bk-2018-1283.ch015.","productDescription":"24 p.","startPage":"323","endPage":"346","ipdsId":"IP-093375","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":358018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-31","publicationStatus":"PW","scienceBaseUri":"5bc02fcbe4b0fc368eb5397e","contributors":{"editors":[{"text":"Zhang, Minghua","contributorId":195323,"corporation":false,"usgs":false,"family":"Zhang","given":"Minghua","email":"","affiliations":[],"preferred":false,"id":747119,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jackson, Scott 0000-0003-1272-9918","orcid":"https://orcid.org/0000-0003-1272-9918","contributorId":208420,"corporation":false,"usgs":false,"family":"Jackson","given":"Scott","affiliations":[],"preferred":false,"id":747120,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Robertson, Mark A.","contributorId":208421,"corporation":false,"usgs":false,"family":"Robertson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":747121,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Zeiss, Michael R.","contributorId":208422,"corporation":false,"usgs":false,"family":"Zeiss","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":747123,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Domagalski, Joseph L. 0000-0002-6032-757X joed@usgs.gov","orcid":"https://orcid.org/0000-0002-6032-757X","contributorId":1330,"corporation":false,"usgs":true,"family":"Domagalski","given":"Joseph","email":"joed@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orlando, James 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":208413,"corporation":false,"usgs":true,"family":"Orlando","given":"James","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747008,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227831,"text":"70227831 - 2018 - Changing environmental gradients over forty years alter ecomorphological variation in Guadalupe Bass Micropterus treculii throughout a river basin","interactions":[],"lastModifiedDate":"2022-02-01T19:30:41.30855","indexId":"70227831","displayToPublicDate":"2018-07-30T14:28:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Changing environmental gradients over forty years alter ecomorphological variation in Guadalupe Bass <i>Micropterus treculii</i> throughout a river basin","title":"Changing environmental gradients over forty years alter ecomorphological variation in Guadalupe Bass Micropterus treculii throughout a river basin","docAbstract":"<p>Understanding the degree of intraspecific variation within and among populations is a key aspect of predicting the capacity of a species to respond to anthropogenic disturbances. However, intraspecific variation is usually assessed at either limited temporal, but broad spatial scales or vice versa, which can make assessing changes in response to long-term disturbances challenging. We evaluated the relationship between the longitudinal gradient of changing flow regimes and land use/land cover patterns since 1980 and morphological variation of Guadalupe Bass Micropterus treculii throughout the Colorado River Basin of central Texas. The Colorado River Basin in Texas has experienced major alterations to the hydrologic regime due to changing land- and water-use patterns. Historical collections of Guadalupe Bass prior to rapid human-induced change present the unique opportunity to study the response of populations to varying environmental conditions through space and time. Morphological differentiation of Guadalupe Bass associated with temporal changes in flow regimes and land use/land cover patterns suggests that they are exhibiting intraspecific trait variability, with contemporary individuals showing increased body depth, in response to environmental alteration through time (specifically related to an increase in herbaceous land cover, maximum flows, and the number of low pulses and high pulses). Additionally, individuals from tributaries with increased hydrologic alteration associated with urbanization or agricultural withdrawals tended to have a greater distance between the anal and caudal fin. These results reveal trait variation that may help to buffer populations under conditions of increased urbanization and sprawl, human population growth, and climate risk, all of which impose novel selective pressures, especially on endemic species like Guadalupe Bass. Our results contribute an understanding of the adaptability and capacity of an endemic population to respond to expected future changes based on demographic or climatic projection.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4349","usgsCitation":"Pease, J.E., Grabowski, T.B., Pease, A.A., and Bean, P.T., 2018, Changing environmental gradients over forty years alter ecomorphological variation in Guadalupe Bass Micropterus treculii throughout a river basin: Ecology and Evolution, v. 8, no. 16, p. 8508-8522, https://doi.org/10.1002/ece3.4349.","productDescription":"15 p.","startPage":"8508","endPage":"8522","ipdsId":"IP-093067","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4349","text":"Publisher Index Page"},{"id":395232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.23876953125,\n              29.6880527498568\n            ],\n            [\n              -94.98779296875,\n              29.6880527498568\n            ],\n            [\n              -94.98779296875,\n              33.87041555094183\n            ],\n            [\n              -102.23876953125,\n              33.87041555094183\n            ],\n            [\n              -102.23876953125,\n              29.6880527498568\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"16","noUsgsAuthors":false,"publicationDate":"2018-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Pease, Jessica E.","contributorId":201491,"corporation":false,"usgs":false,"family":"Pease","given":"Jessica","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":832393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pease, Allison A.","contributorId":201493,"corporation":false,"usgs":false,"family":"Pease","given":"Allison","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":832394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bean, Preston T.","contributorId":172956,"corporation":false,"usgs":false,"family":"Bean","given":"Preston","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":832395,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195983,"text":"tm6A59 - 2018 - SWB Version 2.0—A soil-water-balance code for estimating net infiltration and other water-budget components","interactions":[],"lastModifiedDate":"2018-07-31T09:30:01","indexId":"tm6A59","displayToPublicDate":"2018-07-30T14:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A59","title":"SWB Version 2.0—A soil-water-balance code for estimating net infiltration and other water-budget components","docAbstract":"<p>The U.S. Geological Survey’s Soil-Water-Balance (SWB) code was developed as a tool to estimate distribution and timing of net infiltration out of the root zone by means of an approach that uses readily available data and minimizes user effort required to begin a SWB application. SWB calculates other components of the water balance, including soil moisture, reference and actual evapotranspiration, snowfall, snowmelt, canopy interception, and crop-water demand. SWB is based on a modified Thornthwaite-Mather soil-water-balance approach, with components of the soil-water balance calculated at a daily time step. Net-infiltration calculations are computed by means of a rectangular grid of computational elements, which allows the calculated infiltration rates to be imported into grid-based regional groundwater-flow models. SWB makes use of gridded datasets, including datasets describing hydrologic soil groups, moisture-retaining capacity, flow direction, and land use. Climate data may be supplied in gridded or tabular form. The SWB 2.0 code described in this report extends capabilities of the original SWB version 1.0 model by adding new options for representing physical processes and additional data input and output capabilities. New methods included in SWB 2.0 allow for direct gridded input of externally calculated water-budget components (fog, septic, and storm-sewer leakage), simulation of canopy interception by several alternative processes, and a crop-water demand method for estimating irrigation amounts. New input and output capabilities allow for grids with differing spatial extents and projections to be combined without requiring the user to resample and resize the grids before use.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Groundwater in Book 6: <i>Modeling techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A59","collaboration":"Water Availability and Use Science Program  <br> National Water Quality Program ","usgsCitation":"Westenbroek, S.M., Engott, J.A., Kelson, V.A., and Hunt, R.J., 2018, SWB Version 2.0—A soil-water-balance code for estimating net infiltration and other water-budget components: U.S. Geological Survey Techniques and Methods, book 6, chap. A59, 118 p., https://doi.org/10.3133/tm6A59.","productDescription":"viii, 118 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-081200","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":355980,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/06/a59/coverthb.jpg"},{"id":355981,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a59/tm6a59.pdf","text":"Report","size":"9.72 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 6-A59"}],"publicComments":"This report in Chapter 59 of Section A: Groundwater in Book 6: <i>Modeling techniques</i>.","contact":"<p>Director, Upper Midwest Water Science Center<br>U.S. Geological Survey<br>8505 Research Way<br>Middleton, WI 53562</p>","tableOfContents":"<ul><li>Preface</li><li>Abstract</li><li>Introduction</li><li>Model Description</li><li>Processes and Methods</li><li>Summary</li><li>Acknowledgments</li><li>References Cited.</li><li>Appendix 1. Method Documentation&nbsp;</li><li>Appendix 2. User Guide</li><li>Appendix 3. Input Data, Lookup-Table Entries, and Control-File Directives by Method</li><li>Appendix 4. Example Applications</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2018-07-30","noUsgsAuthors":false,"publicationDate":"2018-07-30","publicationStatus":"PW","scienceBaseUri":"5b6fc3f0e4b0f5d57878e951","contributors":{"authors":[{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelson, Victor A.","contributorId":41713,"corporation":false,"usgs":true,"family":"Kelson","given":"Victor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":740848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740849,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198503,"text":"70198503 - 2018 - Linking transit times to catchment sensitivity to atmospheric deposition of acidity and nitrogen in mountains of the western United States","interactions":[],"lastModifiedDate":"2018-08-06T11:55:57","indexId":"70198503","displayToPublicDate":"2018-07-30T11:55:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Linking transit times to catchment sensitivity to atmospheric deposition of acidity and nitrogen in mountains of the western United States","docAbstract":"<p><span>Transit times are hypothesized to influence catchment sensitivity to atmospheric deposition of acidity and nitrogen (N) because they help determine the amount of time available for infiltrating precipitation to interact with catchment soil and biota. Transit time metrics, including fraction of young water (</span><i>F</i><sub>yw</sub><span>) and mean transit time (MTT), were calculated for 11 headwater catchments in mountains of the western United States based on differences in the amplitude of the seasonal signal of δ</span><sup>18</sup><span>O in streamflow and precipitation. Results were statistically compared with catchment characteristics to elucidate controlling mechanisms. Transit times also were compared with stream solute concentrations to test the hypothesis that transit times are a primary influence on weathering rates and biological assimilation of atmospherically deposited N. Results indicate that transit times in the study catchments are strongly related to soil, vegetation, and topographic characteristics, with barren terrain (bare rock and talus) and steep slopes linked to high&nbsp;</span><i>F</i><sub>yw</sub><span>&nbsp;and short MTT, whereas forest soil (hydrogroup B) was linked to low&nbsp;</span><i>F</i><sub>yw</sub><span>&nbsp;and greater MTT. Concentrations of silicate weathering products (Na</span><sup>+</sup><span>&nbsp;and Si) were negatively related to&nbsp;</span><i>F</i><sub>yw</sub><span>&nbsp;and barren terrain, and positively related to MTT and forest soil, supporting the concept that weathering fluxes and buffering capacity tend to be low in alpine areas due to short transit times. Nitrate concentrations were positively related to N deposition, catchment slope, and barren terrain, and negatively related to forest, indicating that hydrologic and/or biogeochemical processes associated with steep slopes limit uptake of atmospherically deposited N by biota. Interannual and seasonal variability in transit times and source water contributions in the study catchments was substantial, reflecting the influence of strong temporal variations in snowmelt inputs in high‐elevation catchments of the western United States. Results from this study confirm that short transit times in these areas are a key reason they are highly sensitive to atmospheric pollution and climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13183","usgsCitation":"Clow, D.W., Mast, M.A., and Sickman, J.O., 2018, Linking transit times to catchment sensitivity to atmospheric deposition of acidity and nitrogen in mountains of the western United States: Hydrological Processes, v. 32, no. 16, p. 2456-2470, https://doi.org/10.1002/hyp.13183.","productDescription":"15 p.","startPage":"2456","endPage":"2470","ipdsId":"IP-094711","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":468559,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13183","text":"Publisher Index Page"},{"id":356185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"16","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-04","publicationStatus":"PW","scienceBaseUri":"5b6fc3f1e4b0f5d57878e953","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sickman, James O.","contributorId":30741,"corporation":false,"usgs":true,"family":"Sickman","given":"James","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":741709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190817,"text":"sir20175096 - 2018 - Geomorphology and vegetation change at Colorado River campsites, Marble and Grand Canyons, Arizona","interactions":[],"lastModifiedDate":"2018-07-31T09:27:14","indexId":"sir20175096","displayToPublicDate":"2018-07-30T10:19:18","publicationYear":"2018","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":"2017-5096","title":"Geomorphology and vegetation change at Colorado River campsites, Marble and Grand Canyons, Arizona","docAbstract":"<p>Sandbars along the Colorado River are used as campsites by river runners and hikers and are an important recreational resource within Grand Canyon National Park, Arizona. Regulation of the flow of river water through Glen Canyon Dam has reduced the amount of sediment available to be deposited as sandbars, has reduced the magnitude and frequency of flooding events, and has increased the magnitude of baseflows. This has caused widespread erosion of sandbars and has allowed native and non-native vegetation to expand on open sand. Previous studies show an overall decline in campsite area despite the use of controlled floods to rebuild sandbars. Monitoring of campsites since 1998 has shown changes in campsite area, but the factors that cause gains and losses in campsite area have not been quantified. These factors include, among others, changes in sandbar volume and slope under different dam flow regimes that include controlled floods, gullying caused by monsoonal rains, vegetation expansion, and reworking of sediment by aeolian processes.<br><br>Using 4-band aerial imagery and digital elevation models (DEMs) derived from total-station survey data, we analyzed topographic and vegetation change at 35 of 37 long-term monitoring sites (2 sites were excluded because topographic measurements do not overlap with measurements of campsite area) using data collected between 2002 and 2009 to quantify the factors affecting the size of campsite area. Over the course of the study period, there was a net loss in campsite area of 2,431 square meters (m<sup>2</sup>). We find that (1) 53 percent of the net loss was caused by topographic change associated with controlled floods and erosion of those flood deposits, (2) 47 percent of the net loss was caused by increases in vegetation cover, the majority of which occurred in high-elevation campsite area, and (3) gullying was significant at certain sites but overall was a minor factor.<br><br>Sites in critical reaches—sections of river where campsites are infrequent or where there is high demand by river runners—were subjected to more erosion and changes in sandbar slope than sites in noncritical reaches, suggesting that campsite area is less stable in those reaches. There was also a greater increase in vegetation cover at sites in noncritical reaches than at sites in critical reaches. Our results show a continuation of sandbar erosion and vegetation encroachment that has been occurring at campsites since construction of the dam.<br><br>A new campsite survey methodology using a tablet-based geographic information system (GIS) approach was also developed in an effort to map campsite area on digital orthophotographs. Using a series of repeat measurements, we evaluated the inherent uncertainty in mapping campsite area, the accuracy of the new tablet-based method, and if there is any bias between the tablet method and the total-station method that is currently used. We find that uncertainty associated with surveyor judgment while using the total-station method is about 15 percent, which is higher than a previously reported uncertainty of 10 percent. Use of the tablet method adds additional uncertainty; however, the benefits of being able to quantify factors that lead to campsite-area change in the field may outweigh the additional error. Future campsite monitoring may need to consist of a combination of total-station and orthophotograph techniques.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175096","collaboration":"Prepared in cooperation with Northern Arizona University","usgsCitation":"Hadley, D.R., Grams, P.E., Kaplinski, M.A., Hazel, J.E., Jr., and Parnell, R.A., 2018, Geomorphology and vegetation change at Colorado River campsites, Marble and Grand Canyons, Arizona: U.S. Geological Survey Report 2017–5096, 64 p., https://doi.org/10.3133/sir20175096.","productDescription":"Report: x, 64 p.; Appendix 1-6; Data release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076205","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":355971,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7FJ2FQQ","text":"USGS data release","description":"USGS data release","linkHelpText":"Geomorphology and campsite data, Colorado River, Marble and Grand Canyons, Arizona"},{"id":355966,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5096/coverthb.jpg"},{"id":355967,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5096/sir20175096.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5096"},{"id":355968,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5096/sir20175096_appendixes_1_6.zip","text":"Appendix 1–6","size":"20 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2017-5096"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon, Marble Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.363893891,\n              35.831395422\n            ],\n            [\n              -111.655606078,\n              35.831395422\n            ],\n            [\n              -111.655606078,\n              36.772325343\n            ],\n            [\n              -113.363893891,\n              36.772325343\n            ],\n            [\n              -113.363893891,\n              35.831395422\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/sbsc/science/sbsc-scientist-directory?qt-science_center_objects=0#qt-science_center_objects\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/sbsc/science/sbsc-scientist-directory?qt-science_center_objects=0#qt-science_center_objects\">SBSC Staff</a>,<br><a href=\"https://sbsc.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://sbsc.wr.usgs.gov/\">Southwest Biological Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>2255 N. Gemini Drive<br>Flagstaff, AZ 86001</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Geomorphic and Vegetation Change at Campsites between 2002 and 2009</li><li>Evaluation of Methods for Measuring Campsite Area</li><li>Conclusions</li><li>References Cited</li><li>Appendixes 1–6. Descriptions of Changes at Campsites in Grand Canyon National Park</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-07-30","noUsgsAuthors":false,"publicationDate":"2018-07-30","publicationStatus":"PW","scienceBaseUri":"5b6fc3f1e4b0f5d57878e955","contributors":{"authors":[{"text":"Hadley, Daniel R. 0000-0002-0701-7580","orcid":"https://orcid.org/0000-0002-0701-7580","contributorId":196522,"corporation":false,"usgs":false,"family":"Hadley","given":"Daniel R.","affiliations":[],"preferred":false,"id":710540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":710541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaplinski, Matthew A.","contributorId":139210,"corporation":false,"usgs":false,"family":"Kaplinski","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":710542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hazel, Joseph E. Jr.","contributorId":19500,"corporation":false,"usgs":true,"family":"Hazel","given":"Joseph","suffix":"Jr.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":710543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parnell, Roderic A.","contributorId":41922,"corporation":false,"usgs":true,"family":"Parnell","given":"Roderic A.","affiliations":[],"preferred":false,"id":710544,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197360,"text":"ds1088 - 2018 - Detections of current-use pesticides at 12 surface water sites in California during a 2-year period beginning in 2015","interactions":[],"lastModifiedDate":"2018-07-30T10:37:03","indexId":"ds1088","displayToPublicDate":"2018-07-27T13:39:52","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1088","title":"Detections of current-use pesticides at 12 surface water sites in California during a 2-year period beginning in 2015","docAbstract":"<p>Surface water samples were collected by the U.S. Geological Survey and multiple cooperators during base flow/irrigation runoff and storm runoff conditions from 12 sites throughout California, over 2 consecutive years beginning in April 2015, from both urban and agriculturally dominated watersheds. Water samples were analyzed by gas chromatography/mass spectrometry and liquid chromatrography/tandem mass spectrometry for a suite of 157 pesticides and degradates. Suspended sediments associated with these water samples were analyzed by gas chromatography/mass spectrometry for a suite of 131 pesticides and degradates. Overall, 85 pesticides and degradates were detected in the water: 32 fungicides, 25 herbicides, 27 insecticides, and 1 synergist. In the suspended sediment, 29 pesticides were detected: 9 fungicides, 10 herbicides, and 10 insecticides. Sixteen pesticides (bifenthrin, carbendazim, chlorpyrifos, clothianidin, diazinon, diuron, fenpyroximate, fipronil, fipronil sulfone, fluopicolide, imidacloprid, metolachlor, novaluron, oxyflurofen, permethrin, and simazine) were detected in the water at concentrations that were above at least one aquatic life benchmark value as defined by the U.S Environmental Protection Agency.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1088","collaboration":"Prepared in cooperation with the Central Valley Regional Water Quality Control Board","usgsCitation":"Sanders, C.J., Orlando, J.L., and Hladik, M.L., 2018, Detections of current-use pesticides at 12 surface water sites in California during a 2-year period beginning in 2015: U.S. Geological Survey Data Series 1088, 40 p., https://doi.org/10.3133/ds1088.","productDescription":"Report: viii; 40 p.; 2 Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-086505","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":355893,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1088/ds1088.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1088"},{"id":355956,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/1088/ds1088_table_5.xlsx","text":"Table 5","size":"40 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 1088","linkHelpText":" - Pesticide results in water samples from urban sites"},{"id":355955,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/1088/ds1088_table_4.xlsx","text":"Table 4","size":"40 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 1088","linkHelpText":" - Pesticide results in water samples from agricultural 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 \"}}]}","contact":"<div><a href=\"mailto:dc_ca@usgs.gov\" target=\"_blank\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,</div><div><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br data-mce-bogus=\"1\"></div><div><a href=\"https://usgs.gov/\" target=\"_blank\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br data-mce-bogus=\"1\"></div><div>6000 J Street, Placer Hall</div><div>Sacramento, California 95819</div>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Procedures and Methods</li><li>Quality-Control Methods and Results For Water and Suspended Sediment Samples</li><li>Results From Water Samples</li><li>Results from Suspended Sediment Samples</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2018-07-27","noUsgsAuthors":false,"publicationDate":"2018-07-27","publicationStatus":"PW","scienceBaseUri":"5b6fc3f2e4b0f5d57878e95d","contributors":{"authors":[{"text":"Sanders, Corey J. 0000-0001-7743-6396 csanders@usgs.gov","orcid":"https://orcid.org/0000-0001-7743-6396","contributorId":4330,"corporation":false,"usgs":true,"family":"Sanders","given":"Corey","email":"csanders@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":736855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orlando, James L. 0000-0002-0099-7221 jorlando@usgs.gov","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":1368,"corporation":false,"usgs":true,"family":"Orlando","given":"James","email":"jorlando@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":736856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":189904,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":736857,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198295,"text":"70198295 - 2018 - Using reverse-time egg transport analysis for predicting Asian Carp spawning grounds in the Illinois River","interactions":[],"lastModifiedDate":"2018-07-27T11:13:22","indexId":"70198295","displayToPublicDate":"2018-07-27T11:13:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Using reverse-time egg transport analysis for predicting Asian Carp spawning grounds in the Illinois River","docAbstract":"Identifying spawning grounds of Asian carp is important for determining the reproductive front of invasive populations. Ichthyoplankton monitoring along the Illinois Waterway (IWW) has provided information on abundances of Asian carp eggs in the IWW's navigation pools. Post-fertilization times derived from egg development stages and water temperatures can be used to estimate spawning times of Asian carp eggs, but estimating how far these eggs have drifted requires information on river hydraulics. A Fluvial Egg Drift Simulator (FluEgg) program was designed to predict the drift of Asian carp eggs in the riverine environment with egg growth considered. This paper presents a reverse-time particle tracking (RTPT) algorithm for back-casting the spawning location of eggs from their collection site. The RTPT algorithm was implemented as a module in FluEgg. The new version of FluEgg was coupled with an unsteady hydrodynamic model of the IWW to predict the spawning locations for 530 eggs that were collected in June 2015. The results indicate that tailwater sections below the Locks and Dams (L&Ds) in each navigation pool appear to be preferred spawning locations for Silver Carp. From the data analyzed, the most upstream spawning location for the June 2015 spawning period was in the upper Marseilles navigation pool, downstream of the Dresden Island L&D. The RTPT algorithm can efficiently estimate spawning locations for multiple egg samples.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2018.06.003","usgsCitation":"Zhu, Z., Soong, D., Garcia, T., Behrouz, M.S., Butler, S.E., Murphy, E.A., Diana, M.J., Duncker, J.J., and Wahl, D.H., 2018, Using reverse-time egg transport analysis for predicting Asian Carp spawning grounds in the Illinois River: Ecological Modelling, v. 384, p. 53-62, https://doi.org/10.1016/j.ecolmodel.2018.06.003.","productDescription":"10 p.","startPage":"53","endPage":"62","ipdsId":"IP-093404","costCenters":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":355987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.7415771484375,\n              38.839707613545144\n            ],\n            [\n              -87.506103515625,\n              38.839707613545144\n            ],\n            [\n              -87.506103515625,\n              41.97174336327968\n            ],\n            [\n              -90.7415771484375,\n              41.97174336327968\n            ],\n            [\n              -90.7415771484375,\n              38.839707613545144\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"384","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3f3e4b0f5d57878e95f","contributors":{"authors":[{"text":"Zhu, Zhenduo","contributorId":206524,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhenduo","email":"","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":740921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soong, David 0000-0003-0404-2163","orcid":"https://orcid.org/0000-0003-0404-2163","contributorId":206523,"corporation":false,"usgs":true,"family":"Soong","given":"David","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia, Tatiana","contributorId":206525,"corporation":false,"usgs":false,"family":"Garcia","given":"Tatiana","affiliations":[{"id":37335,"text":"Optimatics","active":true,"usgs":false}],"preferred":false,"id":740922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Behrouz, Mina Shahed","contributorId":206526,"corporation":false,"usgs":false,"family":"Behrouz","given":"Mina","email":"","middleInitial":"Shahed","affiliations":[],"preferred":false,"id":740923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butler, Steven E.","contributorId":206527,"corporation":false,"usgs":false,"family":"Butler","given":"Steven","email":"","middleInitial":"E.","affiliations":[{"id":37336,"text":"Illinois Natural History Survey, Kaskaskia Biological Station","active":true,"usgs":false}],"preferred":false,"id":740924,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murphy, Elizabeth A. 0000-0002-8939-7678 emurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-8939-7678","contributorId":196368,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth","email":"emurphy@usgs.gov","middleInitial":"A.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740925,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diana, Matthew J.","contributorId":206528,"corporation":false,"usgs":false,"family":"Diana","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":740927,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duncker, James J. 0000-0001-5464-7991 jduncker@usgs.gov","orcid":"https://orcid.org/0000-0001-5464-7991","contributorId":4316,"corporation":false,"usgs":true,"family":"Duncker","given":"James","email":"jduncker@usgs.gov","middleInitial":"J.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740926,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wahl, David H.","contributorId":206529,"corporation":false,"usgs":false,"family":"Wahl","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37336,"text":"Illinois Natural History Survey, Kaskaskia Biological Station","active":true,"usgs":false}],"preferred":false,"id":740928,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70194500,"text":"sir20175137 - 2018 - Rating stability, and frequency and magnitude of shifts, for streamgages in Virginia through water year 2013","interactions":[],"lastModifiedDate":"2018-07-27T10:16:52","indexId":"sir20175137","displayToPublicDate":"2018-07-26T16:45:00","publicationYear":"2018","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":"2017-5137","title":"Rating stability, and frequency and magnitude of shifts, for streamgages in Virginia through water year 2013","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Virginia Department of Environmental Quality, has quantified several measures of rating stability and the frequency and magnitude of changes to ratings through time for 174 real-time continuous streamgages active in Virginia as of September 30, 2013. Generalized additive models (GAMs) were fitted through all available flow measurements for all the streamgages in Virginia’s real-time network as of September 30, 2013, with at least 20 flow measurements with positive flow values. For each measurement with a positive flow value, residuals from the GAM curve were calculated. Time series of these residuals were used to identify major changes to the control (the stream feature or features which control the relation between stage and flow); the measurements in the periods of equilibrium between major changes were assigned to rating families. Of the 127 rating families that were identified as being distinct at sites, documented explanations were found for 67 of them. The most common reasons for the control to change enough to warrant a new rating family are moving the streamgage (28 times), floods (26 times), and construction activities (13 times). Provisional flow data from any streamgage that has recently experienced a major flood, regardless of historical stability, are more uncertain than usual until post-flood evidence emerges that the rating is stable, or if the rating has changed, until it is known to be well defined.</p><p>A direct comparison between provisional flow data (those data originally displayed on the web in near-real time) and flow data approved for publication following subsequent flow measurements and review could not be made because provisional flow data have not been archived. As a substitute, alternative flow (AltFlow) tables were constructed for periods with complete records of shifts and ratings. Alternate flows consist of $Q$<i><sub>same</sub></i>, the flow value from the shifted rating table used to compute the daily flow value at the time of the most recent flow measurement that corresponds to the gage height of each day’s daily flow value, and <i>$Q$<sub>prev</sub></i>, the flow value from the shifted rating table in effect at the time of the previous flow measurement that corresponds to the gage height of each day’s daily flow value.</p><p>Several metrics that summarize AltFlow tables were computed and evaluated; particular importance was given to how well the metrics agreed with the descriptive stability class developed from interviews with hydrographers. Of these stability metrics, at least four were determined to be meaningful and to represent different aspects of control stability that might be relevant to water managers: total root mean square error between log-transformed <i>$Q$<sub>prev</sub></i> and <i>$Q$<sub>same</sub></i>, percentage of days when the difference between <i>$Q$<sub>prev</sub></i> and <i>$Q$<sub>same</sub></i> is greater than (&gt;) <i>$Q$<sub>same</sub></i>, the sum of absolute AltFlow error divided by total flow, and percentage of days with zero difference between <i>$Q$<sub>prev</sub></i> and <i>$Q$<sub>same</sub></i>.</p><p>Three other meaningful metrics of control stability or provisional flow-data quality were computed: R<sup>2</sup> (coefficient of determination) of GAMs from the flow measurements, percentage of total estimated days, and percentage of estimated days in the winter. Correlations among metrics varied, indicating they responded to different aspects of control stability. Relations among the various stability metrics and quantitative basin and site characteristics were weak. Although quantitative relations between stability metrics and basin and site characteristics were all weak, some common patterns still emerged. Controls and ratings on large streams [&gt;500-square mile (mi<sup>2</sup>) drainage area] and at high elevations (&gt;1,000 feet) were more likely to be stable than controls and ratings on small streams (less than (&lt;) 100-mi<sup>2</sup> drainage area) and at low elevations (&lt;500 feet). There were exceptions to both generalizations, and streamgages that were intermediate in both characteristics varied widely in stability.</p><p>Typical timing of record computation changed during water years 1991–2013. From 1991 through 2001, the median number of days between the start date of the shift and the date it was created fluctuated between about 240 and about 300 days and decreased by about 4 months from 2001 to 2002. Only in 2012 and 2013 did one-half of the shifts have a delay of about 60 days between start date and final modification.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175137","collaboration":"Prepared in cooperation with the Virginia Department of Environmental Quality","usgsCitation":"Messinger, T., and Burgholzer, R.W., 2018, Rating stability, and frequency and magnitude of shifts, for streamgages in Virginia through water year 2013: U.S. Geological Survey Scientific Investigations Report 2017–5137, 91 p., https://doi.org/10.3133/sir20175137. ","productDescription":"Report: viii, 91 p.; 5 Plates: 24.0 x 30.0 inches; 5 Tables; Appendixes; Data Release; Read Me","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-084661","costCenters":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":437819,"rank":19,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72R3PXB","text":"USGS data release","linkHelpText":"Ratings and estimated provisional streamflow for streamgages in Virginia, water years 1991 through 2013"},{"id":355791,"rank":11,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_plate05.pdf","text":"Plate 5","size":"25 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Scatterplot matrixes of stage-flow relation stability metrics in relation to selected basin characteristics for A, 64 plots and, B, 88 plots, for streamgages in Virginia, water years 1991–2013"},{"id":355792,"rank":12,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_table08.xlsx","text":"Table 8","size":"57.6 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Hydrographer descriptions of controls for streamgages in Virginia at which real-time flow data were collected as of September 30, 2013, and descriptions of associated features of interest "},{"id":355783,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_appendix01a.pdf","text":"Appendix 1a","size":"3.60 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Plots for real-time streamgages in Virginia (All available measurements)"},{"id":355788,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_plate02.pdf","text":"Plate 2","size":"212 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Patterns of variation in, A, long-term stage-flow relations at selected streamgages in Virginia, B, residual of flow and date with a LOESS smoother, and C, residual of flow and Julian date with a LOESS smoother"},{"id":355787,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_plate01.pdf","text":"Plate 1","size":"230 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- A, Long-term stage-flow relations at selected streamgages in Virginia with a generalized additive model smoother, B, seasonal variation of relations between residual of flow and date with a LOESS smoother, and C, seasonal variation of relations between residual of flow and Julian date with a LOESS smoother"},{"id":355789,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_plate03.pdf","text":"Plate 3","size":"360 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- AltFlow hydrographs for four selected streamgages in Virginia, water years 1991–2013"},{"id":355786,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_appendix04.pdf","text":"Appendix 4","size":"24.3 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Plots showing daily time series of <em>$Q$<sub>same</sub></em> and <em>$Q$<sub>prev</sub></em>"},{"id":355790,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_plate04.pdf","text":"Plate 4","size":"20.6 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Matrix of proposed stability metrics developed using daily flow, shifted ratings, and flow measurements for streamgages in Virginia, water years 1991–2013"},{"id":355793,"rank":13,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_table20.xlsx","text":"Table 20","size":"50.4 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Summary of selected rating stability metrics for streamgages in Virginia, water years 1991–2013"},{"id":355794,"rank":14,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_table24.xlsx","text":"Table 24","size":"482 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Average of daily percent errors for flow in Virginia streams, by month and percentile range"},{"id":355796,"rank":16,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_table26.xlsx","text":"Table 26","size":"228 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Proportion of days when the difference between Qprev and Qsame was zero at streamgages in Virginia, by month, 1990–2013"},{"id":355797,"rank":17,"type":{"id":30,"text":"Data Release"},"url":" https://doi.org/10.5066/F72R3PXB","text":"USGS data release","description":"USGS data release","linkHelpText":"Ratings and estimated provisional streamflow for streamgages in Virginia, water years 1991 through 2013"},{"id":355841,"rank":18,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_readme.txt","size":"8 MB","linkFileType":{"id":2,"text":"txt"}},{"id":355784,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_appendix01b.pdf","text":"Appendix 1b","size":"5.11 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"Plots for real-time streamgages in Virginia (Measurements grouped by rating families )"},{"id":355782,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137.pdf","text":"Report","size":"3.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5137"},{"id":355795,"rank":15,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_table25.xlsx","text":"Table 25","size":"373 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Root-mean-square error of AltFlows and number of days of record for streamgages on Virginia streams by month and percentile of monthly flow, water years 1991–2013 "},{"id":355781,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5137/coverthb.jpg"},{"id":355785,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5137/sir20175137_appendix03.xlsx","text":"Appendix 3","size":"640 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- UNIX shell scripts used to develop AltFlow record"}],"country":"United 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 \"}}]}","contact":"<p><a href=\"mailo:dc_va@usgs.gov\" data-mce-href=\"mailo:dc_va@usgs.gov\">Director</a>, <a href=\"http://va.water.usgs.gov/\" data-mce-href=\"http://va.water.usgs.gov/\">Virginia Water Science Center</a><br> U.S. Geological Survey <br> 1730 East Parham Road <br> Richmond, VA 23228</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Streamgaging Operations</li><li>Ratings and Shifts for Streamgages in Virginia through 2013</li><li>Patterns in the Stability of Stage-Flow Relations</li><li>Estimated Provisional Flows (AltFlows)&nbsp;</li><li>Stability Metrics and Their Relations to Each Other and to Basin Characteristics</li><li>Caveats, Limitations, and Suggestions for Further Study</li><li>Summary</li><li>References Cited</li><li>Appendix 1.&nbsp;Plots for real-time streamgages in Virginia&nbsp;</li><li>Appendix 2.&nbsp;Computation of Alternative Flow Data</li><li>Appendix 3.&nbsp;UNIX shell scripts used to develop AltFlow record</li><li>Appendix 4. Plots showing daily time series of <em>$Q$<sub>same</sub></em> and <em>$Q$<sub>prev</sub></em></li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2018-07-26","noUsgsAuthors":false,"publicationDate":"2018-07-26","publicationStatus":"PW","scienceBaseUri":"5b6fc3f3e4b0f5d57878e961","contributors":{"authors":[{"text":"Messinger, Terence 0000-0003-4084-9298 tmessing@usgs.gov","orcid":"https://orcid.org/0000-0003-4084-9298","contributorId":2717,"corporation":false,"usgs":true,"family":"Messinger","given":"Terence","email":"tmessing@usgs.gov","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgholzer, Robert W.","contributorId":201021,"corporation":false,"usgs":false,"family":"Burgholzer","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":724117,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198792,"text":"70198792 - 2018 - Carving Grand Canyon’s inner gorge: A test of steady incision versus rapid knickzone migration","interactions":[],"lastModifiedDate":"2018-08-24T11:57:52","indexId":"70198792","displayToPublicDate":"2018-07-26T16:41:36","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Carving Grand Canyon’s inner gorge: A test of steady incision versus rapid knickzone migration","docAbstract":"<p>A recent study posits that much of the 240-m-deep inner gorge of Grand Canyon was carved between 500 and 400 ka via passage of a migrating knickzone with incision rates of ~1600 m/Ma during that time period; this was based on dating of a ca. 500 ka travertine deposit perched on the rim of the inner gorge, near Hermit Rapid, and a ca. 400 ka travertine drape that extends to within 60 m of river level nearby. However, a new U/Th age of 517 ± 13 ka on the same travertine drape challenges this model of a migrating knickzone and punctuated incision. The presence of ca. 500 ka travertine just 95 m above river level requires that most of the inner gorge was carved before that time. The resulting maximum bedrock incision rate of 230 m/Ma is consistent with independent results from sites up and downstream and with models for semi-steady Quaternary bedrock incision and dispels problems with the transient incision model. Downstream from the Hermit Rapid area, dikes present on both sides of the canyon have been used to support the migrating knickzone model. We report a new<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar age of 517 ± 16 ka on one of these dikes, but argue that they don’t necessarily gauge incision.</p><p>Field observations suggest that the discontinuous travertine deposits, near Hermit Rapid, were deposited by springs that emanated from the Redwall-Muav aquifer, mantled the Tonto Platform, and locally built downwards into the inner gorge and tributary canyons. The range of U/Th ages from ca. 10–600 ka suggests these were long-lived spring systems. The travertine cements predominantly angular to subrounded locally derived clasts consistent with deposition on hillslopes and by tributaries. Well-rounded gravels are exceedingly rare but have been used to suggest that the Colorado River was at the rim of the inner gorge at ca. 500 ka. No exotic Colorado River clasts, derived from the area outside of Grand Canyon, were observed by us. In-place gravel from the main stem or tributaries (e.g., from paleo–Hermit Creek) within the travertine deposits can be reconciled with existing data, if: (1) travertine was deposited at ca. 2 Ma, which is approximately when the steady incision model suggests the inner gorge began to incise; (2) a 500 ka lava dam in the Lava Falls Rapid area, 140 km downstream, backed water and sediment up to the rim of the inner gorge in the Hermit area; or (3) regional climate-driven aggradation took place at 500 ka.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01562.1","usgsCitation":"Crow, R.S., Karlstrom, K.E., Crossey, L.J., Polyak, V., Asmerom, Y., and McIntosh, W.C., 2018, Carving Grand Canyon’s inner gorge: A test of steady incision versus rapid knickzone migration: Geosphere, v. 14, no. 5, p. 1-17, https://doi.org/10.1130/GES01562.1.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-084123","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":468562,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01562.1","text":"Publisher Index Page"},{"id":356636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","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              -114.14794921875,\n              35.572448615622804\n            ],\n            [\n              -111.67053222656249,\n              35.572448615622804\n            ],\n            [\n              -111.67053222656249,\n              37.21283151445594\n            ],\n            [\n              -114.14794921875,\n              37.21283151445594\n            ],\n            [\n              -114.14794921875,\n              35.572448615622804\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-26","publicationStatus":"PW","scienceBaseUri":"5b98a297e4b0702d0e842f85","contributors":{"authors":[{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":742965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Karl E.","contributorId":75597,"corporation":false,"usgs":true,"family":"Karlstrom","given":"Karl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":742966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crossey, Laura J.","contributorId":56265,"corporation":false,"usgs":true,"family":"Crossey","given":"Laura","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":742967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Polyak, Victor","contributorId":207162,"corporation":false,"usgs":false,"family":"Polyak","given":"Victor","email":"","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":742968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Asmerom, Yemane","contributorId":146278,"corporation":false,"usgs":false,"family":"Asmerom","given":"Yemane","email":"","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":742969,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McIntosh, William C.","contributorId":191163,"corporation":false,"usgs":false,"family":"McIntosh","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":742970,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197846,"text":"ofr20181102 - 2018 - A method for determining avian influenza virus hemagglutinin and neuraminidase subtype association","interactions":[],"lastModifiedDate":"2024-03-04T19:09:11.886598","indexId":"ofr20181102","displayToPublicDate":"2018-07-26T14:15:00","publicationYear":"2018","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":"2018-1102","title":"A method for determining avian influenza virus hemagglutinin and neuraminidase subtype association","docAbstract":"<p>Methods for grouping specific avian influenza virus (AIV) hemagglutinin (HA) and neuraminidase (NA) subtype reverse-transcription polymerase chain reaction (RT-PCR) products into HA:NA subtypes when egg incubation is technically not feasible were evaluated. These approaches were adopted for use as post hoc methods after melt curve analysis. The methods are based on ratios obtained from amplicon copy count and amplicon molarity and were founded on the premise that infectious particles contain an equal copy count of single-stranded ribonucleic acid segments that encode HA or NA, and thus subtype-specific amplicons from a single AIV isolate should yield a theoretical HA:NA ratio of 1. Single and mixed HA:NA AIV subtype samples were evaluated to determine whether the calculated HA:NA ratios would approach the theoretical value. With these samples, preference was given to the molarity methods to better define and correct for the effects of multiple potential amplicons in the amplification mix. Further, the molarity method was used to evaluate pond sediment spiked with intact virus of known HA:NA subtype to determine whether the method is sufficiently robust to be used with complex samples, such as those acquired from waterfowl habitat. This was a proof-of-concept study intended to guide future methods development. The methods here are not meant to be applied in any other context.</p><p>From the analysis of fully characterized isolates of North American AIV, the HA:NA molarity-based ratios were found to be 1.63 ± 0.75 (mean ± standard deviation) when corrected for the difference in amplification strength and the production of multiple amplicons in some reactions using equations developed in this study. Copy count HA:NA ratios, obtained from HA and NA subtype (RT-qPCR), were 1.146 ± 0.124 (mean ± standard deviation) when corrected for amplification efficiency. Correct associations of HA:NA subtype sample composition were made with mixed samples containing 1 HA and 2 NA, and 2 HA and 2 NA. When spiked pond sediment was evaluated, the molar ratio obtained for the H4 and N6 identified in the sample was 1.28 with correction and 1.14 without correction.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181102","usgsCitation":"Ottinger, C.A., Iwanowicz, D.D., Iwanowicz, L.R., Adams, C.R., Sanders, L.R., and Densmore, C.L., 2018, A method for determining avian influenza virus hemagglutinin and neuraminidase subtype association: U.S. Geological Survey Open-File Report 2018–1102, 15 p., https://doi.org/10.3133/ofr20181102.","productDescription":"v, 15 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-096308","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":355970,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1102/ofr20181102.pdf","text":"Report","size":"3.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1102"},{"id":355969,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1102/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>11649 Leetown Road<br>Kearneysville, WV 25430</p>","tableOfContents":"<ul><li>Abstract</li><li>Background</li><li>Methods</li><li>Results and Discussion</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2018-07-26","noUsgsAuthors":false,"publicationDate":"2018-07-26","publicationStatus":"PW","scienceBaseUri":"5b6fc3f3e4b0f5d57878e963","contributors":{"authors":[{"text":"Ottinger, Christopher 0000-0003-2551-1985","orcid":"https://orcid.org/0000-0003-2551-1985","contributorId":205874,"corporation":false,"usgs":true,"family":"Ottinger","given":"Christopher","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":738743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":738744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":738745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Cynthia R. 0000-0003-4383-530X cradams@usgs.gov","orcid":"https://orcid.org/0000-0003-4383-530X","contributorId":176965,"corporation":false,"usgs":true,"family":"Adams","given":"Cynthia","email":"cradams@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":738746,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanders, Lakyn R. 0000-0001-5937-7740","orcid":"https://orcid.org/0000-0001-5937-7740","contributorId":205875,"corporation":false,"usgs":true,"family":"Sanders","given":"Lakyn","email":"","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":738747,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Densmore, Christine L. 0000-0001-6440-0781","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":204739,"corporation":false,"usgs":true,"family":"Densmore","given":"Christine L.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":738748,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198055,"text":"ds1093 - 2018 - Abundance and productivity of marbled murrelets (Brachyramphus marmoratus) off central California during the 2017 breeding season","interactions":[],"lastModifiedDate":"2018-07-27T10:27:10","indexId":"ds1093","displayToPublicDate":"2018-07-26T12:39:42","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1093","displayTitle":"Abundance and productivity of marbled murrelets (<em>Brachyramphus marmoratus</em>) off central California during the 2017 breeding season","title":"Abundance and productivity of marbled murrelets (Brachyramphus marmoratus) off central California during the 2017 breeding season","docAbstract":"<p class=\"p1\">Marbled murrelets (<i>Brachyramphus marmoratus</i>) have been listed as “Endangered” by the State of California and “Threatened” by the U.S. Fish and Wildlife Service since 1992 in California, Oregon, and Washington. Information regarding marbled murrelet abundance, distribution, population trends, and habitat associations is critical for risk assessment, effective management and evaluation of conservation efficacy, and ultimately to meet Federal- and State-mandated recovery efforts for this species. During June–August 2017, the U.S. Geological Survey Western Ecological Research Center continued previously established, long-term (1999–2016), at-sea surveys to estimate abundance and productivity of marbled murrelets in U.S. Fish and Wildlife Service Conservation Zone 6 (central California—San Francisco Bay to Monterey Bay). Using conventional distance sampling methods, we estimated marbled murrelet abundance using 189 detections of 321 individuals observed on nine unique surveys. The abundance estimated for the entire study area using all surveys in 2017 was 530 birds (95-percent confidence interval, 384–732 birds). Estimated abundance from 2017 is comparable to most prior years of study, except for 2008 and 2015, which had anomalously low abundances. We estimated productivity (calculated as the hatch-year [HY] to after-hatch-year [AHY] ratio) in 2017 using three detections of three individuals observed in six surveys. After date-correcting HY and AHY counts to account for birds expected to be absent from the water while inland at nests, the date-corrected juvenile ratio was 0.022 ± 0.014 standard error. We created a synthesized database of all marbled murrelet survey data from 1999 to 2017 to allow scientists and managers to evaluate established survey methods and assess trends in abundance and productivity estimates. Future modifications of survey design could help reduce variance in abundance estimation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1093","usgsCitation":"Felis, J.J., Adams, J., and Kelsey, E.C.., 2018, Abundance and productivity of marbled murrelets (<em>Brachyramphus marmoratus</em>) off central California during the 2017 breeding season: U.S. Geological Survey Data Series 1093, 12 p., https://doi.org/10.3133/ds1093.","productDescription":"Report: iv, 12 p.; Data release","onlineOnly":"Y","ipdsId":"IP-098753","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":355984,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75B01RW","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Annual marbled murrelet abundance and productivity surveys off central California (Zone 6), 1999-2017"},{"id":355983,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1093/ds1093.pdf","text":"Report","size":"749 KB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1093"},{"id":355982,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1093/coverthb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.53189086914061,\n              36.92464553397128\n            ],\n            [\n              -121.93450927734375,\n              36.92464553397128\n            ],\n            [\n              -121.93450927734375,\n              37.528242717975054\n            ],\n            [\n              -122.53189086914061,\n              37.528242717975054\n            ],\n            [\n              -122.53189086914061,\n              36.92464553397128\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.werc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://www.werc.usgs.gov/\">Western Ecological Research Center</a><br>U.S. Geological Survey<br>3020 State University Drive<br>Modoc Hall, Room 4004<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Marbled Murrelet Abundance and Productivity Results</li><li>Discussion</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-07-26","noUsgsAuthors":false,"publicationDate":"2018-07-26","publicationStatus":"PW","scienceBaseUri":"5b6fc3f3e4b0f5d57878e965","contributors":{"authors":[{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":739800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":739799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelsey, Emily C. 0000-0002-0107-3530 ekelsey@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3530","contributorId":206505,"corporation":false,"usgs":true,"family":"Kelsey","given":"Emily","email":"ekelsey@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":739801,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197746,"text":"sir20185081 - 2018 - Spatial and temporal trends in selenium in the upper Blackfoot River watershed, southeastern Idaho, 2001–16","interactions":[],"lastModifiedDate":"2018-07-27T10:23:28","indexId":"sir20185081","displayToPublicDate":"2018-07-26T11:59:30","publicationYear":"2018","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":"2018-5081","title":"Spatial and temporal trends in selenium in the upper Blackfoot River watershed, southeastern Idaho, 2001–16","docAbstract":"<p>Phosphate mining in southeastern Idaho has been an important economic driver for the region and State for over 100 years, but weathering of mining waste rock has also released selenium into the Blackfoot River. This report analyzes and presents data from three separate but complementary studies monitoring selenium in streams in the region. The U.S. Geological Survey (USGS), in cooperation with the Bureau of Land Management, has been collecting streamflow and water-quality samples year-round on the Blackfoot River above reservoir near Henry, Idaho, (USGS streamgage 13063000) since 2001. Over the same period, the Idaho Department of Environmental Quality (IDEQ) has collected streamflow and water-quality samples from the Blackfoot River and tributaries during spring runoff. Data collected from 2001 to 2012 during these two studies were analyzed previously. This report extends the analysis using new data collected through 2016. This report also presents the results of a joint USGS and IDEQ seepage study conducted in June 2016 in the Blackfoot River near Dry Valley. Although limited in scope, this study explored the hypothesis that unaccounted selenium loading (loading in excess of tributary inputs) in this reach could be caused by groundwater inflow.</p><p>USGS dissolved selenium concentration data from streamgage 13063000 on the Blackfoot River and IDEQ data from the mainstem and mining-affected tributaries are highest shortly after peak runoff and correlate with streamflow magnitude. Although earlier analyses indicated increasing selenium concentrations from 2001 to 2012, this study shows that runoff and baseflow dissolved selenium concentrations increased and then decreased during 2001–16. High median runoff concentrations from 2005 through 2011 are associated with high snowpack and streamflow. This result suggests that more snowmelt moving through selenium-bearing waste rock leads to increased instream concentrations. The time lag between peak runoff and then peak selenium concentrations suggests that selenium mobilization may occur as snowmelt percolates through waste rock rather than by faster surface runoff. However, variability in local snow accumulation and snowmelt conditions likely affects interannual variability in selenium concentrations in the mainstem Blackfoot River and tributaries.</p><p>In contrast to runoff selenium concentrations, median baseflow (August to October) dissolved selenium concentrations were highest from 2009 to 2013. Aquatic plant senescence and release of selenium is an unlikely explanation for this trend because plants are still growing during this time of year. In addition, this trend is observed during and shortly after the observed period of high snowpack. Thus, increased baseflow selenium concentrations suggest that increased selenium loading to alluvial groundwater may occur during periods of high snowmelt and manifest in later years as higher instream concentrations during baseflows when the majority of streamflow is attributable to groundwater gains.</p><p>Runoff-period streamflow and selenium loads were calculated for the tributaries and mainstem Blackfoot River. Selenium loads vary from year to year with mainstem loads greater than the total tributary contributions in some years and less than tributary contributions in other years. In general, East Mill Creek usually accounted for the largest proportion of the total Blackfoot River load, and unaccounted loads (loads in excess of tributary inputs) often occurred in the vicinity of Spring Creek and Dry Valley. The latter observation led the USGS and IDEQ to conduct a seepage study to further investigate groundwater and selenium loading to the Blackfoot River near Dry Valley.</p><p>The seepage study results show consistent albeit small unaccounted increases in streamflow and dissolved selenium load in the Blackfoot River near Dry Valley. Field observation of a spring to the north of the river and independent groundwater monitoring data from Dry Valley to the south of the river suggest that alluvial groundwater may discharge to the river from both sides. However, the small unaccounted selenium load measured in the June 2016 study relative to loads measured during runoff suggest that groundwater loading in this reach may occur primarily during runoff. An improved understanding of alluvial groundwater extent, gradient, hydraulic conductivity, and quality would aid in interpreting unaccounted gains and losses in selenium loads in the Blackfoot River.</p><p>Finally, State of Idaho selenium water-quality criteria have recently shifted to a hierarchical fish tissue and water concentration scheme. This report summarizes existing fish tissue and water-quality data in the mainstem and offers considerations for future selenium monitoring in the Blackfoot River.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185081","collaboration":"Prepared in cooperation with the Bureau of Land Management and the Idaho Department of Environmental Quality","usgsCitation":"Zinsser, L.M., Mebane, C.A., Mladenka, G.C., Van Every, L.R., and Williams, M.L., 2018, Spatial and temporal trends in selenium in the upper Blackfoot River watershed, southeastern Idaho, 2001–16: U.S. Geological Survey Scientific Investigations Report 2018-5081, 37 p., https://doi.org/10.3133/sir20185081.","productDescription":"vi, 37 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-090359","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":355978,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5081/coverthb.jpg"},{"id":355979,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5081/sir20185081.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 20185081"}],"country":"United States","state":"Idaho","otherGeospatial":"Upper Blackfoot River Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.63414001464844,\n              42.5\n            ],\n            [\n              -111,\n              42.5\n            ],\n            [\n              -111,\n              43\n            ],\n            [\n              -111.63414001464844,\n              43\n            ],\n            [\n              -111.63414001464844,\n              42.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" target=\"blank\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Road<br>Boise, Idaho 83702</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods of Investigation</li><li>Selenium in the Upper Blackfoot River Watershed</li><li>Discussion</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Data Quality Evaluations</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-07-26","noUsgsAuthors":false,"publicationDate":"2018-07-26","publicationStatus":"PW","scienceBaseUri":"5b6fc3f3e4b0f5d57878e969","contributors":{"authors":[{"text":"Zinsser, Lauren M. 0000-0002-8582-066X","orcid":"https://orcid.org/0000-0002-8582-066X","contributorId":206486,"corporation":false,"usgs":true,"family":"Zinsser","given":"Lauren M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":738367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mladenka, Greg C.","contributorId":206502,"corporation":false,"usgs":false,"family":"Mladenka","given":"Greg","email":"","middleInitial":"C.","affiliations":[{"id":6912,"text":"Idaho Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":738369,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Every, Lynn R.","contributorId":206503,"corporation":false,"usgs":false,"family":"Van Every","given":"Lynn","email":"","middleInitial":"R.","affiliations":[{"id":6912,"text":"Idaho Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":738370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Marshall L.","contributorId":206504,"corporation":false,"usgs":false,"family":"Williams","given":"Marshall L.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":738371,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196119,"text":"sir20165074 - 2018 - UFINCH: A method for simulating unit and daily flows in networks of channels described by NHDPlus using continuous flow data at U.S. Geological Survey streamgages","interactions":[],"lastModifiedDate":"2018-07-26T14:54:27","indexId":"sir20165074","displayToPublicDate":"2018-07-26T11:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5074","title":"UFINCH: A method for simulating unit and daily flows in networks of channels described by NHDPlus using continuous flow data at U.S. Geological Survey streamgages","docAbstract":"<p>The UFINCH (Unit Flows In Networks of Channels) computer application can be used to simulate daily and unit flows in networks of streams based on geospatial data in the National Hydrography Dataset NHDPlus (with value added attributes), and U.S. Geoogical Survey daily streamflow data from a downstream (or base) streamgage. Among streamflow augmentation methods, UFINCH has the unique capability to estimate time series of flows from a single base (downstream) streamgage to many upstream reaches, while conserving flows within the basin. UFINCH also provides a simple statistical model to adjust simulated flows to better match continuous flows from data at an upstream streamgage. Parameters of the statistical model are estimated using overlapping periods of record at the two streamgages, but the adjustment can be applied to all years of record available at the base streamgage. This report describes the main features of UFINCH and presents results from a sample application. Interactive graphical user interfaces and automated geographical information processing facilitate flow-data retrievals provide an intuitive environment for efficient and effective generation of flow information in a network. UFINCH is coded in the Matlab programming language and can be run in the Matlab programming environment, with supporting statistical, optimization, and mapping toolboxes, or from compiled code on a Microsoft Windows computer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165074","collaboration":"National Water Quality Program","usgsCitation":"Holtschlag, D.J., 2018, UFINCH—A method for simulating unit and daily flows in networks of channels described by NHDPlus using continuous flow data at U.S. Geological Survey streamgages: U.S. Geological Survey Scientific Investigations Report 2016-5074, 17 p., https://doi.org/10.3133/sir20165074.","productDescription":"Report: iv, 17 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073436","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":355884,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5074/sir20165074.pdf","text":"Report","size":"21.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5074"},{"id":355883,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5074/coverthb.jpg"},{"id":355885,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7319TC5","text":"USGS data release","description":"USGS data release","linkHelpText":"Code, data, executables, and other information used to run Unit Flows in Networks of Channels (UFINCH)—A method for simulating unit and daily flows in networks of channels described by NHDPlus using continuous flow data at U.S. Geological Survey streamgages"}],"contact":"<p><a href=\"https://mi.water.usgs.gov/\" data-mce-href=\"https://mi.water.usgs.gov/\">Upper Midwest Water Science Center</a><br> U.S. Geological Survey<br> 6520 Mercantile Way<br> Suite 5<br> Lansing, MI 48911</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methodology</li><li>UFINCH Processing and Results</li><li>Discussion</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2018-07-26","noUsgsAuthors":false,"publicationDate":"2018-07-26","publicationStatus":"PW","scienceBaseUri":"5b6fc3f4e4b0f5d57878e96b","contributors":{"authors":[{"text":"Holtschlag, David J. 0000-0001-5185-4928","orcid":"https://orcid.org/0000-0001-5185-4928","contributorId":203417,"corporation":false,"usgs":true,"family":"Holtschlag","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":731438,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70201150,"text":"70201150 - 2018 - Temporal evaluation of estrogenic endocrine disruption markers in smallmouth bass (Micropterus dolomieu) reveals seasonal variability in intersex","interactions":[],"lastModifiedDate":"2018-12-03T08:41:54","indexId":"70201150","displayToPublicDate":"2018-07-26T08:19:01","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Temporal evaluation of estrogenic endocrine disruption markers in smallmouth bass <i>(Micropterus dolomieu)</i> reveals seasonal variability in intersex","title":"Temporal evaluation of estrogenic endocrine disruption markers in smallmouth bass (Micropterus dolomieu) reveals seasonal variability in intersex","docAbstract":"<p><span>A reconnaissance project completed in 2009 identified intersex and elevated plasma vitellogenin in male smallmouth bass inhabiting the Missisquoi River, VT. In an attempt to identify the presence and seasonality of putative endocrine disrupting chemicals or other factors associated with these observations, a comprehensive reevaluation was conducted between September 2012 and June 2014. Here, we collected smallmouth bass from three physically partitioned reaches along the river to measure biomarkers of estrogenic endocrine disruption in smallmouth bass. In addition, polar organic chemical integrative samples (POCIS) were deployed to identify specific chemicals associated with biological observations. We did not observe biological differences across reaches indicating the absence of clear point source contributions to the observation of intersex. Interestingly, intersex prevalence and severity decreased in a stepwise manner over the timespan of the project. Intersex decreased from 92.8% to 28.1%. The only significant predictor of intersex prevalence was year of capture, based on logistic regression analysis. The mixed model of fish length and year-of-capture best predicted intersex severity. Intersex severity was also significantly different across late summer and early spring collections indicating seasonal changes in this metric. Plasma vitellogenin and liver vitellogenin Aa transcript abundance in males did not indicate exposure to estrogenic endocrine disrupting chemicals at any of the four sample collections. Analysis of chemicals captured by the POCIS as well as results of screening discrete water samples or POCIS extracts did not indicate the contribution of appreciable estrogenic chemicals. It is possible that unreported changes in land-use activity have ameliorated the problem, and our observations indicate recovery. Regardless, this work clearly emphasizes that single, snap shot sampling for intersex may not yield representative data given that the manifestation of this condition within a population can change dramatically over time.</span></p>","language":"English","publisher":"Elsever","doi":"10.1016/j.scitotenv.2018.07.167","usgsCitation":"Iwanowicz, L.R., Pinkney, A., Guy, C., Major, A., Munney, K., Blazer, V., Alvarez, D., Walsh, H.L., Sperry, A.J., Sanders, L., and Smith, D., 2018, Temporal evaluation of estrogenic endocrine disruption markers in smallmouth bass (Micropterus dolomieu) reveals seasonal variability in intersex: Science of the Total Environment, v. 646, p. 245-256, https://doi.org/10.1016/j.scitotenv.2018.07.167.","productDescription":"12 p.","startPage":"245","endPage":"256","ipdsId":"IP-095285","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":359860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Missisquoi River","volume":"646","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c064ee3e4b0815414cecb10","contributors":{"authors":[{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":752925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinkney, A.E.","contributorId":150385,"corporation":false,"usgs":false,"family":"Pinkney","given":"A.E.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":752926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, C.P.","contributorId":22983,"corporation":false,"usgs":true,"family":"Guy","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":752927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Major, A.M.","contributorId":150387,"corporation":false,"usgs":false,"family":"Major","given":"A.M.","email":"","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":752928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Munney, K.","contributorId":150388,"corporation":false,"usgs":false,"family":"Munney","given":"K.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":752929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":752930,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alvarez, David 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":150499,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":752931,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":752932,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sperry, Adam J. 0000-0002-4815-3730 asperry@usgs.gov","orcid":"https://orcid.org/0000-0002-4815-3730","contributorId":5872,"corporation":false,"usgs":true,"family":"Sperry","given":"Adam","email":"asperry@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":752933,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sanders, Lakyn R. lsanders@usgs.gov","contributorId":5714,"corporation":false,"usgs":true,"family":"Sanders","given":"Lakyn R.","email":"lsanders@usgs.gov","affiliations":[],"preferred":true,"id":752934,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smith, D. R. 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":44108,"corporation":false,"usgs":true,"family":"Smith","given":"D. R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":752935,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70198172,"text":"sir20185073 - 2018 - Geochemistry and microbiology of groundwater and solids from extraction and monitoring wells and their relation to well efficiency at a Federally operated confined disposal facility, East Chicago, Indiana","interactions":[],"lastModifiedDate":"2018-07-24T12:44:39","indexId":"sir20185073","displayToPublicDate":"2018-07-24T11:00:00","publicationYear":"2018","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":"2018-5073","title":"Geochemistry and microbiology of groundwater and solids from extraction and monitoring wells and their relation to well efficiency at a Federally operated confined disposal facility, East Chicago, Indiana","docAbstract":"<p>In cooperation with the U.S. Army Corps of Engineers, Chicago District, the U.S. Geological Survey investigated the processes affecting water quality, geochemistry, and microbiology in representative extraction and monitoring wells at a confined disposal facility (CDF) in East Chicago, Indiana. The CDF is a 140-acre Federally-managed facility that was the former location of an oil refinery and is now used for the long-term disposal and storage of dredge material from the Indiana Harbor and Indiana Harbor Canal. Residual petroleum hydrocarbons and leachate from the CDF are contained within the facility by use of a groundwater cutoff wall. The wall consists of a soil-bentonite slurry and a gradient control system made up of an automated network of 96 extraction wells, 42 monitoring wells, and 2 ultrasonic sensors that maintain an inward hydraulic gradient at the site. The pumps in the extraction wells require vigilant maintenance and must be replaced when unable to withdraw water at a rate sufficient to maintain the required inward gradient. The wells are screened in the Calumet aquifer, a coarse-grained sand and gravel unit that extends approximately 35 feet below the land surface and is not utilized for drinking-water supply at the CDF or in the surrounding area. This study was initiated to identify the cause of decreased pump discharges and to identify potential mitigation strategies.</p><p>For this study, the U.S. Geological Survey collected groundwater and solids from monitoring and extraction wells. Groundwater samples were collected during June 2014 for precautionary health screening and on four occasions during September 2014 through November 2014. Groundwater samples collected from two extraction wells during June 2014 were analyzed for concentrations of anthropogenic organic constituents. During September through November 2014, groundwater samples were collected from one additional extraction well, and samples from three monitoring wells were analyzed for concentrations of inorganic and organic constituents, dissolved gases, and bacterial abundance and diversity. Solid samples were collected during April 2014, during September 2014 through November 2014, and during November 2016. Solid samples were collected from the exterior of extraction-well pumps and as flocculent from water samples. Solid samples were collected from 10 wells, including 1 extraction well and 3 monitoring wells sampled for water quality. Solid samples were analyzed for mineralogy, solid-phase habit, geochemistry, and organic composition.</p><p>The following is a list of observations that were made during this study: (1) the water quality is substantially variable among the six well locations sampled as part of this study—lower (more negative) redox values and higher concentrations of many constituents (including calcium, magnesium, sodium, and sulfate) and properties (including dissolved solids, hardness, and turbidity) were detected in sampled wells located near the extraction wells with the highest frequency of failure; (2) water-level drawdown is variable between extraction wells—wells with the greatest drawdown may pull deeper groundwater into the borehole; (3) dissolved gas results indicate reducing oxidation-reduction processes in the aquifer material that can feasibly contribute iron, carbon dioxide, and other byproducts from hydrocarbon degradation to precipitates and solids that accumulate on and impair pump operation; (4) crystalline and amorphous solid-phase minerals are precipitating in the borehole; (5) several types of bacteria are present in water pumped from extraction wells and are likely responsible for bonding mineral and microbiologic matter to the pump (and other well components); and (6) bacteria may create microenvironments that facilitate precipitation of solids or inhibit dissolution of unstable minerals once the bacteria adhere to biofilm attached to the pump. Results of the study indicate that bacteria may be accumulating and entrapping solid material on the exterior of pumps. This accumulation reduces heat transfer and water discharge from the pump and may lead to decreased efficiency or mechanical failure. Observations could not be made on the well screen, gravel pack, or surrounding geologic formation; therefore, mitigating measures in the borehole may not solve well-productivity issues.</p><p>Remedies for the pump fouling problems were derived from the review and interpretation of data collected during this study and from information documented in other sources about groundwater well fouling. Potential remedies to problems associated with pump fouling at the CDF may include the following: (1) reducing attractiveness of the extraction wells for microbiological growth by modifying the chemical or physical environment of the well, (2) modifying the pump exterior to decrease microbiological adherence, (3) changing the pumping regime to control the chemistry of water entering the well from the surrounding aquifer material, (4) modifying the pumps to be less physically and thermally attractive, and (5) removing hydrocarbons from groundwater and the aquifer material surrounding the wells or adding surfactants to make them more mobile. Pilot scale testing may be necessary to identify the most effective treatment or combination of treatments.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185073","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Bayless, E.R., Cole, T.R., Lampe, D.C., Travis, R.E., Schulz, M.S, and Buszka, P.M., 2018, Geochemistry and microbiology of groundwater and solids from extraction and monitoring wells and their relation to well efficiency at a Federally operated confined disposal facility, East Chicago, Indiana: U.S. Geological Survey Scientific Investigations Report 2018–5073, 134 p., https://doi.org/10.3133/sir20185073.","productDescription":"Report: xi, 134 p.","numberOfPages":"150","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-077148","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":355818,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5073/coverthb.jpg"},{"id":355819,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5073/sir20185073.pdf","text":"Report","size":"20.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5073"},{"id":355825,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/5b1feed8e4b092d96525b0a2","text":"USGS data release","description":"USGS data release","linkHelpText":"X-ray diffraction trace analysis of solid phase samples collected from groundwater wells at a confined disposal facility in East Chicago, Indiana"}],"country":"United States","state":"Indiana","city":"East Chicago","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.52395629882812,\n              41.59105362325491\n            ],\n            [\n              -87.32585906982422,\n              41.59105362325491\n            ],\n            [\n              -87.32585906982422,\n              41.71444263601197\n            ],\n            [\n              -87.52395629882812,\n              41.71444263601197\n            ],\n            [\n              -87.52395629882812,\n              41.59105362325491\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_in@usgs.gov\" data-mce-href=\"mailto:dc_in@usgs.gov\">Director</a>, <a href=\"https://in.water.usgs.gov/\" data-mce-href=\"https://in.water.usgs.gov/\">Ohio-Kentucky-Indiana Water Science Center</a><br> U.S. Geological Survey<br> 5957 Lakeside Boulevard<br> Indianapolis, IN 46278</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;</li><li>Abstract&nbsp;</li><li>Introduction</li><li>Methods of Investigation&nbsp;</li><li>Geochemistry and Microbiology of Groundwater and Solids from Extraction and Monitoring Wells</li><li>Relation of Geochemical and Microbiologic Characteristics to Well Efficiency&nbsp;</li><li>Summary and Conclusions&nbsp;</li><li>Limitations&nbsp;</li><li>References Cited</li><li>Appendix 1. Driller’s Records for Wells at the Confined Disposal Facility used by this Study</li><li>Appendix 2. X-Ray Diffractograms of Solids Collected on Filter with 0.45-Micron Pore Size during Water-Quality Sampling or from Suspended Sediment in Groundwater Samples Collected at the Confined Disposal Facility&nbsp;</li><li>Appendix 3. Scanning Electron Micrographs of Solid Samples Collected on Filter with 0.45-Micron Pore Size during Water-Quality Sampling or from Suspended Sediment in&nbsp;Groundwater Samples Collected at the Confined Disposal Facility</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2018-07-24","noUsgsAuthors":false,"publicationDate":"2018-07-24","publicationStatus":"PW","scienceBaseUri":"5b6fc3f4e4b0f5d57878e96f","contributors":{"authors":[{"text":"Bayless, Randall E. 0000-0002-0357-3635 ebayless@usgs.gov","orcid":"https://orcid.org/0000-0002-0357-3635","contributorId":191766,"corporation":false,"usgs":true,"family":"Bayless","given":"Randall","email":"ebayless@usgs.gov","middleInitial":"E.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":740415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, Travis R. 0000-0002-0935-381X","orcid":"https://orcid.org/0000-0002-0935-381X","contributorId":206437,"corporation":false,"usgs":true,"family":"Cole","given":"Travis","email":"","middleInitial":"R.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lampe, David C. 0000-0002-8904-0337 dclampe@usgs.gov","orcid":"https://orcid.org/0000-0002-8904-0337","contributorId":2441,"corporation":false,"usgs":true,"family":"Lampe","given":"David","email":"dclampe@usgs.gov","middleInitial":"C.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Travis, R. E. 0000-0001-8601-7791 rtravis@usgs.gov","orcid":"https://orcid.org/0000-0001-8601-7791","contributorId":206438,"corporation":false,"usgs":true,"family":"Travis","given":"R.","email":"rtravis@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schulz, Marjorie S. 0000-0001-5597-6447 mschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-5597-6447","contributorId":3720,"corporation":false,"usgs":true,"family":"Schulz","given":"Marjorie S.","email":"mschulz@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":740418,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buszka, Paul M. 0000-0001-8218-826X pmbuszka@usgs.gov","orcid":"https://orcid.org/0000-0001-8218-826X","contributorId":1786,"corporation":false,"usgs":true,"family":"Buszka","given":"Paul","email":"pmbuszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740420,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197819,"text":"sir20185082 - 2018 - Preliminary groundwater salinity mapping near selected oil fields using historical water-sample data, central and southern California","interactions":[],"lastModifiedDate":"2018-07-25T09:35:33","indexId":"sir20185082","displayToPublicDate":"2018-07-24T00:00:00","publicationYear":"2018","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":"2018-5082","title":"Preliminary groundwater salinity mapping near selected oil fields using historical water-sample data, central and southern California","docAbstract":"<p>The distribution of groundwater salinity was mapped for 31 oil fields and adjacent aquifers and summarized by 8 subregions across major oil-producing areas of central and southern California. The objectives of this study were to describe the distribution of groundwater near oil fields having total dissolved solids less than 10,000 milligrams per liter (mg/L) based on available data and to document where data gaps exist. Salinity was represented by the measured or calculated concentration of total dissolved solids (TDS) in samples of produced water obtained from petroleum wells and groundwater obtained from water wells. The water chemistry data were used to estimate the minimum depths of TDS greater than 3,000 mg/L and greater than 10,000 mg/L in areas near selected oil fields using historical water-chemistry data coupled with available well-location and construction information.</p><p>The 10,000 mg/L threshold, representing the highest level of TDS concentration of water that could be considered as a potential source of drinking water, was present in all but 4 (Jasmin, Kern Bluff, Kern Front, and Mount Poso) of the 31 individual oil fields. Among petroleum wells, the median TDS concentration of produced water ranged from 500 mg/L for the Jasmin field to 32,636 mg/L for the Elk Hills field. Among water wells, median TDS concentrations, either reported or calculated from specific conductance, ranged from 151 mg/L for wells within 2 miles of the Ten Section field to 9,750 mg/L for wells within 2 miles of the combined North and South Belridge fields.</p><p>In general, TDS across the eight geographic subregions increased with depth, but the relation of TDS with depth varied regionally. The most pronounced increases in TDS with depth were across the West Kern Valley Floor and West Kern Valley Margin subregions on the west side of the San Joaquin Valley, and in the vicinity of the Wilmington field in the Los Angeles Basin subregion; in these areas, relatively high TDS concentrations greater than 10,000 mg/L were present within the upper few hundred to several thousand feet of land surface. Total dissolved solids concentrations increased more gradually with depth in the Middle Kern Valley Floor subregion, in the South Kern Valley Margin subregion, in the vicinity of the Montebello and Santa Fe Springs fields in the Los Angeles Basin subregion, and in the Central Coast Basin subregion. The Kern Sierran Foothills and East Kern Valley Floor subregions, on the east side of the San Joaquin Valley, had the most gradual increases in TDS with depth. Fields in the East Kern Valley Floor subregion generally had groundwater and produced water with TDS less than 10,000 mg/L that extended to a large depth compared to most other subregions.</p><p>Overall, the west side of the San Joaquin Valley in Kern County and the Wilmington field in Los Angeles County generally have the highest TDS values and the shallowest depths to high TDS. High TDS at relatively shallow depths on the west side of the San Joaquin Valley may be because of a combination of natural conditions and anthropogenic factors. In the vicinity of the Wilmington field in the Los Angeles Basin subregion, high TDS at relatively shallow depths is attributable at least in part to seawater intrusion. Fields on the east side of the San Joaquin Valley in Kern County have the lowest TDS and greatest depths to TDS greater than 10,000 mg/L because of their geologic setting adjacent to Sierra Nevada recharge areas.</p><p>Reconnaissance salinity mapping was limited by several factors. The primary limitation was the lack of well-construction data for a significant number of water wells. Bottom perforation, well depth, or hole depth were not available for 35 percent of wells used for salinity mapping. A second limitation was variability in data quality.&nbsp;Total dissolved solids and specific conductance data were compiled from different data sources with varying degrees of documentation that ranged from comprehensive to very little or none. As a result, it was not always possible to assess the quality of the provided data with respect to either conditions at each well during sampling or the methodology used for sample collection and analysis. A third limitation was the lack of wells, either petroleum or water, and associated TDS data over large vertical intervals for some fields. As a result, the distribution of salinity and the depths at which TDS concentration exceeds the 3,000 and 10,000 mg/L thresholds could not always be precisely determined. This analysis highlights key gaps that need to be filled with additional analysis of other sources of information, such as borehole geophysical logs and new water sample or geophysical data collection.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185082","collaboration":"Prepared in cooperation with the California State Water Resources Control Board and the Bureau of Land Management","usgsCitation":"Metzger, L.F., and Landon, M.K., 2018, Preliminary groundwater salinity mapping near selected oil fields using historical water-sample data, central and southern California: U.S. Geological Survey Scientific Investigations Report 2018–5082, 54 p., https://doi.org/10.3133/sir20185082.","productDescription":"Report: vi, 54 p.; Data release","numberOfPages":"64","onlineOnly":"Y","ipdsId":"IP-075027","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":355849,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7RN373C","linkHelpText":"Water and petroleum well data used for preliminary regional groundwater salinity mapping near selected oil fields in central and southern California"},{"id":355613,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5082/sir20185082_.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5082"},{"id":355612,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5082/coverthb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.75622558593749,\n              33.280027811732154\n            ],\n            [\n              -118,\n              33.280027811732154\n            ],\n            [\n              -118,\n              36.5\n            ],\n            [\n              -120.75622558593749,\n              36.5\n            ],\n            [\n              -120.75622558593749,\n              33.280027811732154\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<div><a href=\"mailto:dc_ca@usgs.gov\" target=\"_blank\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,</div><div><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a></div><div><a href=\"https://usgs.gov/\" target=\"_blank\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a></div><div>6000 J Street, Placer Hall</div><div>Sacramento, California 95819</div>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results of Salinity Mapping by Geographic Subregion<br></li><li>Variation in Salinity Vertical Profiles Across Subregions<br></li><li>Data Limitations and Future Work<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2018-07-24","noUsgsAuthors":false,"publicationDate":"2018-07-24","publicationStatus":"PW","scienceBaseUri":"5b6fc3f4e4b0f5d57878e973","contributors":{"authors":[{"text":"Metzger, Loren F. 0000-0003-2454-2966 lmetzger@usgs.gov","orcid":"https://orcid.org/0000-0003-2454-2966","contributorId":1378,"corporation":false,"usgs":true,"family":"Metzger","given":"Loren","email":"lmetzger@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":738649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738648,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197991,"text":"sir20185093 - 2018 - Groundwater discharge characteristics for selected streams within the Loup River Basin, Nebraska, 2014–16","interactions":[],"lastModifiedDate":"2018-07-24T15:38:08","indexId":"sir20185093","displayToPublicDate":"2018-07-24T00:00:00","publicationYear":"2018","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":"2018-5093","title":"Groundwater discharge characteristics for selected streams within the Loup River Basin, Nebraska, 2014–16","docAbstract":"<p>Streams in the Loup River Basin are sensitive to groundwater withdrawals because of the close hydrologic connection between groundwater and surface water. Groundwater discharge is the primary component of streamflow in the Loup River Basin and constitutes more than 90 percent of streamflow in the central part of the Sand Hills. To improve the understanding of geologic controls and various climatic and land-use changes on groundwater discharge, the U.S. Geological Survey (USGS), in cooperation with the Upper Loup Natural Resources District (NRD), the Lower Loup NRD, and the Nebraska Environmental Trust, studied the spatial and temporal characteristics of groundwater discharge within the Loup River Basin. This report documents the methods of data collection and analysis, which include the collection of approximately 350 river miles of aerial thermal infrared imagery and continuous groundwater-level and temperature data from six streamflow-gaging stations within the Loup River Basin.</p><p>The results from the stream reconnaissance and examination of aerial thermal infrared imagery demonstrated the influence of the surficial and subsurface geology on the spatial characteristics of groundwater discharge to streams in the Loup River Basin. At the headwaters of the South Loup River, streamflow is sustained and increased from focused groundwater discharge emanating from Quaternary deposits at many small (less than 0.1 cubic foot per second) focused points. The volume of water produced from this dense network of focused groundwater discharge points along the North Fork South Loup River is sufficient to provide approximately 40 percent of the flow measured at the South Loup River at Arnold, Nebraska streamflow-gaging station (USGS station 06781600) during the irrigation season. Approximately 5 miles downstream from the South Loup River at Arnold, Nebr., streamflow-gaging station, the river incises into Pliocene-age sand and gravel deposits, which provide additional groundwater discharge to the stream. The streamflow of the South Loup River increases by a factor of 5 across a 62-mile reach of the middle South Loup River.</p><p>Increases in streamflow along the upper Dismal River result from a dense network of focused groundwater discharge points within semiconsolidated Pliocene-age deposits. Below the Dismal River near Thedford, Nebr., streamflow-gaging station (USGS station 06775900), the Dismal River incises into the Ogallala Formation over a short reach before flowing over coarser, more permeable Quaternary-age alluvial deposits. Diffuse groundwater discharge sustains and increases the streamflow of the lower Dismal River in this reach.</p><p>Groundwater sapping was evident on some stream reaches and has increased the size and flow of focused groundwater discharge points. Previous researchers have documented streambed incision and groundwater sapping on the upper Dismal River that have created and enlarged focused groundwater discharge points capturing additional groundwater. Similar processes appear to have played a role in the formation of larger focused groundwater discharge points, which sustain the flow of the middle South Loup River. The constant flow of groundwater into the South Loup River has removed finer-grained Quaternary sediments and further exposed Pliocene-age gravel deposits. Headward erosion is evident where some of the large focused groundwater discharge points have incised their own draws and terminate in bowl-like depressions away from the stream.</p><p>Within the Loup River NRDs, the percentage of groundwater-irrigated land in a stream basin is one factor that affects groundwater discharge to streams. A striking example was at the South Loup River at Saint Michael, Nebr., groundwater and streamflow-gaging station (USGS station 06784000) where the shallow groundwater levels declined below the level of the stream during the middle to late part of the growing season (July to September) when consumptive groundwater use was at its peak. The South Loup River Basin above the South Loup River at Saint Michael, Nebr., streamflow-gaging&nbsp;station has the highest percentage of groundwater-irrigated row crops of all the basins examined in this study. Continuous groundwater and surface-water levels measured at the North Loup River at the Taylor, Nebr., streamflow-gaging station (USGS station 06786000) indicate that the stream is receiving groundwater throughout the year; however, when consumptive groundwater use peaks during the middle to late part of the growing season (July to September), the difference in elevation between the groundwater level and the stream elevation decreases, which indicates a reduction in the amount of groundwater discharge received.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185093","collaboration":"Prepared in cooperation with the Upper Loup and Lower Loup Natural Resources Districts and the Nebraska Environmental Trust","usgsCitation":"Hobza, C.M., and Schepers, A.R., 2018, Groundwater discharge characteristics for selected streams within the Loup River Basin, Nebraska, 2014–16: U.S. Geological Survey Scientific Investigations Report 2018–5093, 50 p., https://doi.org/10.3133/sir20185093.","productDescription":"Report: vi, 50 p.; Data Release","numberOfPages":"60","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-092216","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":355914,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72Z14TP","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Aerial thermal infrared imagery, focused groundwater discharge points, water temperature, streambed temperature, and vertical hydraulic gradient data collected along the South Loup, Dismal, and North Loup Rivers, Nebraska, 2014–16"},{"id":355912,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5093/coverthb.jpg"},{"id":355913,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5093/sir20185093.pdf","text":"Report","size":"20.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5093"}],"country":"United States","state":"Nebraska","otherGeospatial":"Loup River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102,\n              40\n            ],\n            [\n              -97,\n              40\n            ],\n            [\n              -97,\n              42.75\n            ],\n            [\n              -102,\n              42.75\n            ],\n            [\n              -102,\n              40\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto: dc_ne@usgs.gov\" data-mce-href=\"mailto: dc_ne@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ne-water\" data-mce-href=\"https://www.usgs.gov/centers/ne-water\">Nebraska Water Science Center</a><br>U.S. Geological Survey<br>5231 South 19th Street<br>Lincoln, NE 68512</p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Approach and Methods<br></li><li>Groundwater Discharge Characteristics for Streams in the Loup River Basin<br></li><li>Primary Controls on Groundwater Discharge Characteristics Within the Loup River Basin<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-07-24","noUsgsAuthors":false,"publicationDate":"2018-07-24","publicationStatus":"PW","scienceBaseUri":"5b6fc3f4e4b0f5d57878e971","contributors":{"authors":[{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schepers, Aaron R.","contributorId":206492,"corporation":false,"usgs":false,"family":"Schepers","given":"Aaron","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":740756,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197779,"text":"sir20185072 - 2018 - Refinement of a regression-based method for prediction of flow-duration curves of daily streamflow in the conterminous United States","interactions":[],"lastModifiedDate":"2018-07-24T10:32:22","indexId":"sir20185072","displayToPublicDate":"2018-07-23T00:00:00","publicationYear":"2018","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":"2018-5072","title":"Refinement of a regression-based method for prediction of flow-duration curves of daily streamflow in the conterminous United States","docAbstract":"<p>Regional regression is a common tool used to estimate daily flow-duration curves (FDCs) at ungaged locations. In this report, several refinements to a particular implementation of the regional regression method for estimating FDCs are evaluated by consideration of different methodological options through a leave-one-out cross-validation procedure in the 19 major river basins of the conterminous United States. Regression analyses in this report are based on streamflow data from water years 1981–2013 (October 1, 1980 to September 30, 2013) from 1,378 mostly undisturbed watersheds. Linear regression using selected basin characteristics at 27 quantiles with nonexceedance probabilities ranging from 0.02 to 99.98 percent was applied. The regression computations were primarily by weighted least squares, with left-censored Gaussian regression solved by maximum likelihood in the presence of zero-valued quantiles.</p><p>The regional regression method as applied to the FDC estimation problem includes several methodological options that require determination of the better of two or more choices. The options considered in this report include (1) the setting of the maximum number of basin characteristics considered in the regression models for each region, (2) the method of placing the quantiles into groups (“flow regimes”) having the same basin characteristics used as independent variables, (3) the maximum number of candidate models retained from regressions at the single-quantile level that are retained for testing of the best model at the flow-regime scale, and (4) whether drainage area should be forced into the models. In all, 5 binary options were considered for most regions, resulting in 32 methodological combinations. Leave-one-out cross-validation predictions of FDC quantiles at each streamgage used in the study were used to evaluate compared options. Various performance measures were computed based on the predicted quantiles; these were combined by region and the methods were ranked for each measure.</p><p>Based on examination of the ranked methods compared across the measures, the following treatments produced the more accurate results: (1) using fewer basin characteristics (of the two options considered), (2) utilizing a variance of the unit FDC-based method of determining the flow regimes rather than fixed regimes, (3) retaining more models from the quantile-level regressions regime-wide consideration, and (4) forcing drainage area into the regression models. Results of analyses also indicate that performance varies more by region than by methodological option, with FDCs in arid regions and those with a large value of a measure of intraregional FDC heterogeneity being harder to predict, particularly with respect to the low-flow quantiles.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185072","collaboration":"Water Availability and Use Science Program","usgsCitation":"Over, T.M., Farmer, W.H., and Russell, A.M., 2018, Refinement of a regression-based method for prediction of flow-duration curves of daily streamflow in the conterminous United States: U.S. Geological Survey Scientific Investigations Report 2018–5072, 34 p., https://doi.org/10.3133/sir20185072.","productDescription":"Report: vi, 34 p.; Appendixes 1–3; Data Release","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-085859","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":355901,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5072/coverthb.jpg"},{"id":355902,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5072/sir20185072.pdf","text":"Report","size":"2.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5072"},{"id":355903,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5072/sir20185072_appendixes1-3.xlsx","text":"Appendixes 1–3","size":"1.17 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2018–5072 Appendixes"},{"id":355904,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70G3JC4","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Streamflow, flow-duration curves, basin characteristics, and regression models of flow-duration curves for selected streamgages in the conterminous United States"}],"country":"United 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 \"}}]}\n\n\n","contact":"<p><a href=\"mailto: dc_il@usgs.gov\" data-mce-href=\"mailto: dc_il@usgs.gov\">Director</a>, <a href=\"https://il.water.usgs.gov\" data-mce-href=\"https://il.water.usgs.gov\">Central Midwest Water Science Center </a><br>U.S. Geological Survey<br>405 N. Goodwin Ave. <br>Urbana, Illinois 61801</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods of Study<br></li><li>Refinement of a Regression-Based Method for Prediction of Flow-Duration Curves<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix 1<br></li><li>Appendix 2<br></li><li>Appendix 3<br></li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2018-07-23","noUsgsAuthors":false,"publicationDate":"2018-07-23","publicationStatus":"PW","scienceBaseUri":"5b6fc3f5e4b0f5d57878e97b","contributors":{"authors":[{"text":"Over, Thomas M. 0000-0001-8280-4368","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":204650,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":738472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, Amy M. 0000-0003-0582-0094 arussell@usgs.gov","orcid":"https://orcid.org/0000-0003-0582-0094","contributorId":200011,"corporation":false,"usgs":true,"family":"Russell","given":"Amy","email":"arussell@usgs.gov","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738473,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198223,"text":"ofr20181116 - 2018 - Evaluation of sockeye salmon after passage through an innovative upstream fish-passage system at Cle Elum Dam, Washington, 2017","interactions":[],"lastModifiedDate":"2018-07-24T10:51:24","indexId":"ofr20181116","displayToPublicDate":"2018-07-23T00:00:00","publicationYear":"2018","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":"2018-1116","title":"Evaluation of sockeye salmon after passage through an innovative upstream fish-passage system at Cle Elum Dam, Washington, 2017","docAbstract":"<h1>Executive Summary</h1><p class=\"p1\">The Bureau of Reclamation (Reclamation) and the Washington State Department of Ecology (Ecology), working with the Yakima River Basin Water Enhancement Project Workgroup (composed of representatives of the Yakama Nation; Federal, State, county, and city governments; environmental organizations; and irrigation districts), developed the Yakima Basin Integrated Plan (Integrated Plan). The Integrated Plan identifies a comprehensive approach to water resources and ecosystem restoration improvements in the Yakima Basin to be implemented over a 30-year period. The Integrated Plan includes seven elements:</p><ol><li>Reservoir fish passage,</li><li>Structural and operational changes to existing facilities,</li><li>Surface water storage,</li><li>Groundwater storage,</li><li>Habitat/watershed protection and enhancement,</li><li>Enhanced water conservation, and</li><li>Market reallocation.</li></ol><p class=\"p1\">The first listed element, reservoir fish passage, will be expensive and take many years to accomplish. Reclamation and Ecology decided to look at new and innovative means to provide passage that could help reduce project cost and construction timing while maintaining survival rates of traditional upstream passage facilities. Reclamation contracted with the U.S. Geological Survey to do a study to evaluate the outcome of passage through one innovative fish-passage system at Cle Elum Dam, the first Integrated Plan reservoir fish-passage project being implemented.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181116","collaboration":"Prepared in cooperation with the Yakama Nation, Bureau of Reclamation, and Washington State Department of Ecology","usgsCitation":"Kock, T.J., Evans, S.D., Hansen, A.C., Perry, R.W., Hansel, H.C., Haner, P.V., and Tomka, R.G., 2018, Evaluation of sockeye salmon after passage through an innovative upstream fish-passage system at Cle Elum Dam, Washington, 2017: U.S. Geological Survey Open-File Report 2018-1116, 30 p., https://doi.org/10.3133/ofr20181116.","productDescription":"vi, 30 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-096396","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":355935,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1116/coverthb.jpg"},{"id":355936,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1116/ofr20181116.pdf","text":"Report","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1116"}],"country":"United States","state":"Washington","otherGeospatial":"Cle Elum Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.13800048828125,\n              46.71256084516054\n            ],\n            [\n              -120.42663574218749,\n              46.71256084516054\n            ],\n            [\n              -120.42663574218749,\n              47.352780247239586\n            ],\n            [\n              -121.13800048828125,\n              47.352780247239586\n            ],\n            [\n              -121.13800048828125,\n              46.71256084516054\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://wfrc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://wfrc.usgs.gov/\">Western Fisheries Research Center</a><br> U.S. Geological Survey<br> 6505 NE 65th Street<br> Seattle, Washington 98115</p>","tableOfContents":"<ul><li>Executive Summary<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results of Fish-Passage Device Evaluation<br></li><li>Discussion<br></li><li>Acknowledgments<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-07-23","noUsgsAuthors":false,"publicationDate":"2018-07-23","publicationStatus":"PW","scienceBaseUri":"5b6fc3f4e4b0f5d57878e977","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":740632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Scott D. 0000-0003-0452-7726 sdevans@usgs.gov","orcid":"https://orcid.org/0000-0003-0452-7726","contributorId":4408,"corporation":false,"usgs":true,"family":"Evans","given":"Scott","email":"sdevans@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":740633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":740634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":740635,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansel, Hal C. 0000-0002-3537-8244 hhansel@usgs.gov","orcid":"https://orcid.org/0000-0002-3537-8244","contributorId":2887,"corporation":false,"usgs":true,"family":"Hansel","given":"Hal","email":"hhansel@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":740636,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haner, Philip V. 0000-0001-6940-487X phaner@usgs.gov","orcid":"https://orcid.org/0000-0001-6940-487X","contributorId":2364,"corporation":false,"usgs":true,"family":"Haner","given":"Philip","email":"phaner@usgs.gov","middleInitial":"V.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":740637,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tomka, Ryan G. 0000-0003-1078-6089 rtomka@usgs.gov","orcid":"https://orcid.org/0000-0003-1078-6089","contributorId":3706,"corporation":false,"usgs":true,"family":"Tomka","given":"Ryan","email":"rtomka@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":740638,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198263,"text":"ofr20181118 - 2018 - Survival, travel time, and utilization of Yolo Bypass, California, by outmigrating acoustic-tagged late-fall Chinook salmon","interactions":[],"lastModifiedDate":"2018-07-24T10:57:48","indexId":"ofr20181118","displayToPublicDate":"2018-07-23T00:00:00","publicationYear":"2018","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":"2018-1118","title":"Survival, travel time, and utilization of Yolo Bypass, California, by outmigrating acoustic-tagged late-fall Chinook salmon","docAbstract":"<p class=\"p1\">Juvenile Chinook salmon (<i>Oncorhynchus tshawytscha</i>) migrating through California's Sacramento-San Joaquin River Delta toward the Pacific Ocean face numerous challenges to their survival. The Yolo Bypass is a broad floodplain of the Sacramento River that floods in about 70 percent of years in response to large, uncontrolled runoff events. As one of the routes juvenile salmon may utilize, the Yolo Bypass has recently received attention for having potential benefit to rearing and migrating salmon. Consideration is being given to a plan to build a cut or “notch” in the Fremont Weir to increase juvenile salmon access to the Yolo Bypass. To help provide information about the potential benefit of such a plan, we analyzed data from a telemetry study conducted in February and March 2016 by the U.S. Geological Survey and California Department of Water Resources to estimate entrainment into and distribution of juvenile Chinook salmon within the Yolo Bypass, and to compare survival and travel time through the Yolo Bypass to other routes in the Delta. We also estimated juvenile Chinook salmon survival through three short reaches of the Sacramento River where the proposed California WaterFix North Delta Diversion intakes would divert water to export facilities to provide baseline information against which any effects of those intakes could be measured in the future.</p><p class=\"p1\">We found that entrainment into the Yolo Bypass varied widely and was quite high only at the peak of the March 2016 flood. Spatial distribution of juvenile Chinook salmon within the Yolo Bypass was fairly even for fish entering the Yolo Bypass over the Fremont Weir, but increasingly skewed toward the east bank for fish released within the Yolo Bypass. Survival within Yolo Bypass was not significantly different for fish based on spatial distribution. Survival through the Delta for fish migrating through the Yolo Bypass was generally on par with the weighted survival through the Delta of fish migrating through all other routes. Survival was highest for fish remaining in the Sacramento River and lowest for those entrained into the Interior Delta via Georgiana Slough. Survival through the short section of the Sacramento River near the proposed North Delta Diversion intakes was high.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181118","collaboration":"Prepared in cooperation with the California Department of Water Resources","usgsCitation":"Pope, A.C., Perry, R.W., Hance, D.J., and Hansel, H.C., 2018, Survival, travel time, and utilization of Yolo Bypass, California, by outmigrating acoustic-tagged late-fall Chinook salmon: U.S. Geological Survey Open-File Report 2018-1118, 33 p., https://doi.org/10.3133/ofr20181118.","productDescription":"vi, 33 p.","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-097769","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":355940,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1118/ofr20181118.pdf","text":"Report","size":"3.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1118"},{"id":355939,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1118/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yolo Bypass","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122,\n              38\n            ],\n            [\n              -121.4,\n              38\n            ],\n            [\n              -121.4,\n              38.8\n            ],\n            [\n              -122,\n              38.8\n            ],\n            [\n              -122,\n              38\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://wfrc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://wfrc.usgs.gov/\">Western Fisheries Research Center</a><br> U.S. Geological Survey<br> 6505 NE 65th Street<br> Seattle, Washington 98115</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results<br></li><li>Discussion<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix 1. Fundamental Reach-Specific Parameter Estimates<br></li></ul>","publishedDate":"2018-07-23","noUsgsAuthors":false,"publicationDate":"2018-07-23","publicationStatus":"PW","scienceBaseUri":"5b6fc3f4e4b0f5d57878e975","contributors":{"authors":[{"text":"Pope, Adam C. 0000-0002-7253-2247 apope@usgs.gov","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":5664,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","email":"apope@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":740798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":740799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hance, Dalton J. 0000-0002-4475-706X dhance@usgs.gov","orcid":"https://orcid.org/0000-0002-4475-706X","contributorId":206496,"corporation":false,"usgs":true,"family":"Hance","given":"Dalton","email":"dhance@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":740800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansel, Hal C. 0000-0002-3537-8244 hhansel@usgs.gov","orcid":"https://orcid.org/0000-0002-3537-8244","contributorId":2887,"corporation":false,"usgs":true,"family":"Hansel","given":"Hal","email":"hhansel@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":740801,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}