{"pageNumber":"699","pageRowStart":"17450","pageSize":"25","recordCount":68919,"records":[{"id":70003822,"text":"70003822 - 2011 - South Cascade (USA/North Cascades)","interactions":[],"lastModifiedDate":"2012-06-27T01:01:43","indexId":"70003822","displayToPublicDate":"2012-06-26T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1833,"text":"Glacier Mass Balance Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"South Cascade (USA/North Cascades)","docAbstract":"The U.S. Geological Survey has closely monitored this temperate mountain glacier since the late 1950s. During 1958-2007, the glacier retreated about 0.7 km and shrank in area from 2.71 to 1.73 km<sup>2</sup>, although part of the area change was due to separation of contributing ice bodies from the main glacier. Maximum and average glacier thicknesses are about 170 and 80 m, respectively. Year-to-year variations of snow accumulation amounts on the glacier are largely attributable to the regional maritime climate and fluctuating climate conditions of the North Pacific Ocean. Long-term-average precipitation is about 4500 mm and most of that falls as snow during October through May. Average annual air temperature at 1,900 m altitude (the approximate ELA<sub>0</sub>) was estimated to be 1.6&deg;C during 2000-2009. Mass balances are computed yearly by the direct glaciological method. Mass balances measured at selected locations are used in an interpolation and extrapolation procedure that computes the mass balance at each point in the glacier surface altitude grid. The resulting mass balance grid is averaged to obtain glacier mass balances. Additionally, the geodetic method has been applied to compute glacier net balances in 1970, 1975, 1977, 1979-80, and 1985-97. Winter snow accumulation on the glacier during 2007/08 and 2008/09 was larger than the long-term (1959-2009) average. The 2007/08 preliminary summer balance (-3510 mm w.e.) was slightly more negative than the long-term average and this yielded a preliminary 2007/08 net balance (-290 mm w.e.), which was less negative than the average for the period of record (-600 mm w.e.). Summer 2009 was uncommonly warm and the preliminary 2008/09 summer balance (-4980 mm w.e.) was more negative than any on record for the glacier. The 2008/09 glacier net balance (-1860 mm w.e.) was among the 10 most negative for the period of net balance record (1953-2009). Material presented here is preliminary in nature and presented prior to final review. These data and information are provided with the understanding that they are not guaranteed to be correct or complete. Users are cautioned to consider carefully the provisional nature of these data and information before using them for decisions that concern personal or public safety or the conduct of business that involves substantial monetary or operational consequences. Conclusions drawn from, or actions undertaken on the basis of, such data and information are the sole responsibility of the user.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Glacier Mass Balance Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"World Glacier Monitoring Service","publisherLocation":"Zurich, Switzerland","usgsCitation":"Bidlake, W.R., 2011, South Cascade (USA/North Cascades): Glacier Mass Balance Bulletin, v. 11, p. 81-89.","productDescription":"9 p.","startPage":"81","endPage":"89","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":257949,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257937,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.geo.uzh.ch/microsite/wgms/gmbb.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"North Cascades","volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b93b2e4b08c986b31a63e","contributors":{"authors":[{"text":"Bidlake, William R. wbidlake@usgs.gov","contributorId":1712,"corporation":false,"usgs":true,"family":"Bidlake","given":"William","email":"wbidlake@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":349027,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70007524,"text":"70007524 - 2011 - Applications of Groundwater Helium","interactions":[],"lastModifiedDate":"2012-06-28T01:01:38","indexId":"70007524","displayToPublicDate":"2012-06-19T13:57:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Applications of Groundwater Helium","docAbstract":"Helium abundance and isotope variations have widespread application in groundwater-related studies. This stems from the inert nature of this noble gas and the fact that its two isotopes ? helium-3 and helium-4 ? have distinct origins and vary widely in different terrestrial reservoirs. These attributes allow He concentrations and 3He/4He isotope ratios to be used to recognize and quantify the influence of a number of potential contributors to the total He budget of a groundwater sample. These are atmospheric components, such as air-equilibrated and air-entrained He, as well as terrigenic components, including in situ (aquifer) He, deep crustal and/or mantle He and tritiogenic 3He. Each of these components can be exploited to reveal information on a number of topics, from groundwater chronology, through degassing of the Earth?s crust to the role of faults in the transfer of mantle-derived volatiles to the surface. In this review, we present a guide to how groundwater He is collected from aquifer systems and quantitatively measured in the laboratory. We then illustrate the approach of resolving the measured He characteristics into its component structures using assumptions of endmember compositions. This is followed by a discussion of the application of groundwater He to the types of topics mentioned above using case studies from aquifers in California and Australia. Finally, we present possible future research directions involving dissolved He in groundwater.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of Environmental Isotop Geochemistry, Volume 1","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Springer Isotope Handbook","publisherLocation":"Reston, VA","doi":"10.1007/978-3-642-10637-8_15","usgsCitation":"Kulongoski, J., and Hilton, D., 2011, Applications of Groundwater Helium, chap. <i>of</i> Handbook of Environmental Isotop Geochemistry, Volume 1, p. 285-304, https://doi.org/10.1007/978-3-642-10637-8_15.","productDescription":"20 p.","startPage":"285","endPage":"304","numberOfPages":"20","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":258011,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/978-3-642-10637-8_15","linkFileType":{"id":5,"text":"html"}},{"id":258035,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"1","noUsgsAuthors":false,"publicationDate":"2011-06-30","publicationStatus":"PW","scienceBaseUri":"5059ecc4e4b0c8380cd4948a","contributors":{"authors":[{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":356604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilton, David R.","contributorId":80134,"corporation":false,"usgs":true,"family":"Hilton","given":"David R.","affiliations":[],"preferred":false,"id":356603,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038795,"text":"70038795 - 2011 - Spring-migration ecology of Northern Pintails in south-central Nebraska","interactions":[],"lastModifiedDate":"2021-03-17T14:29:23.111411","indexId":"70038795","displayToPublicDate":"2012-06-18T09:26:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Spring-migration ecology of Northern Pintails in south-central Nebraska","docAbstract":"<p><span>Spring-migration&nbsp;</span><i>ecology</i><span>&nbsp;of staging Northern Pintails,&nbsp;</span><i>Anas acuta</i><span>, was investigated in south-central Nebraska, USA. Habitat associations, local movements, settling patterns, arrival dates, residency times and survival were estimated from 71 radiomarked pintails during spring 2001, 2003 and 2004, and diet determined from 130 females collected during spring 1998 and 1999. Seventy-two percent of pintail diurnal locations were in palustrine wetlands, 7% in riverine wetlands, 3% in lacustrine wetlands, 6% in municipal sewage lagoons and irrigation reuse pits and 10.5% in croplands. Emergent wetlands with hemi-marsh conditions were used diurnally more often than wetlands with either open or closed vegetation structures. Evening foraging flights averaged 4.3 km (SE = 0.6) and 72% were to cornfields. In accord with these findings, 87% of 93 pintails collected during spring 1998 and 1999 returning to evening roosts consumed corn, which represented 84% dry mass of all foods. Pintails collected on non-cropped wetlands ingested invertebrates and seeds from wetland plants more frequently than birds returning to roost. Radiomarked pintails arrived in Nebraska on 7 March 2003 and 18 February 2004; average arrival date was six days earlier during 2004 compared to 2003. Residency time for individuals varied greatly (1–40 days) yet yearly means were similar and averaged 9.5 days within the region. No mortality was detected for 71 birds monitored over 829 exposure days. Conservation planners linking population dynamics and habitat conditions at spring-staging areas need to focus on pintail body condition during spring and its connection with reproductive success and survival during the breeding season.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.034.0102","usgsCitation":"Pearse, A.T., Krapu, G.L., Cox, R.R., and Davis, B., 2011, Spring-migration ecology of Northern Pintails in south-central Nebraska: Waterbirds, v. 34, no. 1, p. 10-18, https://doi.org/10.1675/063.034.0102.","productDescription":"9 p.","startPage":"10","endPage":"18","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474720,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.034.0102","text":"Publisher Index Page"},{"id":257899,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska, Texas","otherGeospatial":"Central Platte River Valley Gulf Coast region, Playa Lakes region, Rainwater Basin, Rice Prairies region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.33612060546875,\n              41.481833430076065\n            ],\n            [\n              -97.987060546875,\n              41.28606238749825\n            ],\n            [\n              -99.019775390625,\n              41.08349176750823\n            ],\n            [\n              -100.096435546875,\n              41.05035951931887\n            ],\n            [\n              -99.7283935546875,\n              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          ],\n            [\n              -103.02978515625,\n              36.4566360115962\n            ],\n            [\n              -103.02978515625,\n              31.70947636001935\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.75732421875,\n              29.6880527498568\n            ],\n            [\n              -93.6474609375,\n              30.467614102257855\n            ],\n            [\n              -95.73486328124999,\n              30.240086360983426\n            ],\n            [\n              -97.6904296875,\n              28.362401735238237\n            ],\n            [\n              -98.26171875,\n              27.059125784374068\n            ],\n            [\n              -97.71240234375,\n              25.93828707492375\n            ],\n            [\n              -97.18505859374999,\n              25.839449402063185\n            ],\n            [\n              -97.40478515625,\n              27.01998400798257\n            ],\n            [\n              -97.0751953125,\n              27.89734922968426\n            ],\n            [\n              -95.1416015625,\n              28.76765910569123\n            ],\n            [\n              -93.75732421875,\n              29.6880527498568\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9629e4b08c986b31b32d","contributors":{"authors":[{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":464951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krapu, Gary L. 0000-0001-8482-6130 gkrapu@usgs.gov","orcid":"https://orcid.org/0000-0001-8482-6130","contributorId":3074,"corporation":false,"usgs":true,"family":"Krapu","given":"Gary","email":"gkrapu@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":464952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, Robert R. Jr.","contributorId":6575,"corporation":false,"usgs":true,"family":"Cox","given":"Robert","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":464953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Bruce E.","contributorId":11050,"corporation":false,"usgs":true,"family":"Davis","given":"Bruce E.","affiliations":[],"preferred":false,"id":464954,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038800,"text":"70038800 - 2011 - Fish and land use influence Gammarus lacustris and Hyalella azteca (Amphipoda) densities in large wetlands across the upper Midwest","interactions":[],"lastModifiedDate":"2019-04-01T15:49:19","indexId":"70038800","displayToPublicDate":"2012-06-15T20:36:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Fish and land use influence <i>Gammarus lacustris</i> and <i>Hyalella azteca</i> (Amphipoda) densities in large wetlands across the upper Midwest","title":"Fish and land use influence Gammarus lacustris and Hyalella azteca (Amphipoda) densities in large wetlands across the upper Midwest","docAbstract":"<p><i class=\"EmphasisTypeItalic \">Gammarus lacustris</i><span>&nbsp;and&nbsp;</span><i class=\"EmphasisTypeItalic \">Hyalella azteca</i><span>&nbsp;(hereafter&nbsp;</span><i class=\"EmphasisTypeItalic \">G. lacustris</i><span>&nbsp;and&nbsp;</span><i class=\"EmphasisTypeItalic \">H. azteca</i><span>, respectively) are important components of secondary production in wetlands and shallow lakes of the upper Midwest, USA. Within the past 50&nbsp;years, amphipod densities have decreased while occurrences of fish and intensity of agricultural land use have increased markedly across this landscape. We investigated influences of fish, sedimentation, and submerged aquatic vegetation (SAV) on densities of&nbsp;</span><i class=\"EmphasisTypeItalic \">G. lacustris</i><span>&nbsp;and&nbsp;</span><i class=\"EmphasisTypeItalic \">H. azteca</i><span>&nbsp;in semipermanent and permanent wetlands and shallow lakes (</span><i class=\"EmphasisTypeItalic \">n</i><span>&nbsp;=&nbsp;283) throughout seven eco-physiographic regions of Iowa, Minnesota, and North Dakota during 2004–2005.&nbsp;</span><i class=\"EmphasisTypeItalic \">G. lacustris</i><span>&nbsp;and&nbsp;</span><i class=\"EmphasisTypeItalic \">H. azteca</i><span>&nbsp;densities were positively correlated with densities of SAV (</span><i class=\"EmphasisTypeItalic \">P</i><span>&nbsp;&lt;&nbsp;0.001 and&nbsp;</span><i class=\"EmphasisTypeItalic \">P</i><span>&nbsp;&lt;&nbsp;0.001, respectively). Both species were negatively correlated with densities of large fish (non-Cyprinidae;&nbsp;</span><i class=\"EmphasisTypeItalic \">P</i><span>&nbsp;=&nbsp;0.01 and&nbsp;</span><i class=\"EmphasisTypeItalic \">P</i><span>&nbsp;=&nbsp;0.013, respectively) and with high densities of fathead minnows (</span><i class=\"EmphasisTypeItalic \">Pimephales promelas</i><span>;&nbsp;</span><i class=\"EmphasisTypeItalic \">P</i><span>&nbsp;&lt;&nbsp;0.001 and&nbsp;</span><i class=\"EmphasisTypeItalic \">P</i><span>&nbsp;=&nbsp;0.033, respectively).&nbsp;</span><i class=\"EmphasisTypeItalic \">H. azteca</i><span>&nbsp;densities also were negatively correlated with densities of small fish (e.g., other minnows [Cyprinidae] and sticklebacks [Gasterosteidae];&nbsp;</span><i class=\"EmphasisTypeItalic \">P</i><span>&nbsp;=&nbsp;0.048) and common carp (</span><i class=\"EmphasisTypeItalic \">Cyprinus</i><span>&nbsp;spp.;&nbsp;</span><i class=\"EmphasisTypeItalic \">P</i><span>&nbsp;=&nbsp;0.022).&nbsp;</span><i class=\"EmphasisTypeItalic \">G. lacustris</i><span>&nbsp;densities were negatively correlated with high levels of suspended solids (an index for sedimentation;&nbsp;</span><i class=\"EmphasisTypeItalic \">P</i><span>&nbsp;&lt;&nbsp;0.001).&nbsp;</span><i class=\"EmphasisTypeItalic \">H. azteca</i><span>&nbsp;densities were positively correlated with the width of upland-vegetation buffers (</span><i class=\"EmphasisTypeItalic \">P</i><span>&nbsp;=&nbsp;0.004). Our results indicate that sedimentation and fish reduce amphipod densities and may contribute to the current low densities of amphipods in the upper Midwest. Thus, removing/excluding fish, and providing a thick buffer of upland vegetation around wetlands may help restore amphipod densities and wetland and water quality within this landscape.</span></p>","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10750-010-0583-2","usgsCitation":"Anteau, M.J., Afton, A.D., Anteau, A.C., and Moser, E.B., 2011, Fish and land use influence Gammarus lacustris and Hyalella azteca (Amphipoda) densities in large wetlands across the upper Midwest: Hydrobiologia, v. 664, no. 1, p. 69-80, https://doi.org/10.1007/s10750-010-0583-2.","productDescription":"12 p.","startPage":"69","endPage":"80","costCenters":[{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":257847,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, North Dakota","volume":"664","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-11","publicationStatus":"PW","scienceBaseUri":"505a1076e4b0c8380cd53c99","contributors":{"authors":[{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":464965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Afton, Alan D. 0000-0002-0436-8588 aafton@usgs.gov","orcid":"https://orcid.org/0000-0002-0436-8588","contributorId":139582,"corporation":false,"usgs":false,"family":"Afton","given":"Alan","email":"aafton@usgs.gov","middleInitial":"D.","affiliations":[{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":464964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anteau, Andrea C.E.","contributorId":40060,"corporation":false,"usgs":true,"family":"Anteau","given":"Andrea","email":"","middleInitial":"C.E.","affiliations":[],"preferred":false,"id":464967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moser, E. Barry","contributorId":37595,"corporation":false,"usgs":true,"family":"Moser","given":"E.","email":"","middleInitial":"Barry","affiliations":[],"preferred":false,"id":464966,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005506,"text":"70005506 - 2011 - Discussion of Near-Transducer Errors in ADCP Measurements: Experimental Findings by Marian Muste, Dongsu Kim, and Juan A Gonzalez-Castro","interactions":[],"lastModifiedDate":"2013-03-17T19:46:05","indexId":"70005506","displayToPublicDate":"2012-06-15T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Discussion of Near-Transducer Errors in ADCP Measurements: Experimental Findings by Marian Muste, Dongsu Kim, and Juan A Gonzalez-Castro","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydraulic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)HY.1943-7900.0000361","usgsCitation":"Mueller, D.S., and Oberg, K.A., 2011, Discussion of Near-Transducer Errors in ADCP Measurements: Experimental Findings by Marian Muste, Dongsu Kim, and Juan A Gonzalez-Castro: Journal of Hydraulic Engineering, v. 137, no. 8, p. 863-866, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000361.","productDescription":"4 p.","startPage":"863","endPage":"866","numberOfPages":"14","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":257611,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269519,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HY.1943-7900.0000361"}],"country":"United States","volume":"137","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a01ffe4b0c8380cd4fe35","contributors":{"authors":[{"text":"Mueller, David S. dmueller@usgs.gov","contributorId":1499,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"dmueller@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":352678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oberg, Kevin A. kaoberg@usgs.gov","contributorId":928,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","email":"kaoberg@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":352677,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003864,"text":"70003864 - 2011 - Seasonal flows on warm Martian slopes","interactions":[],"lastModifiedDate":"2018-11-02T10:57:43","indexId":"70003864","displayToPublicDate":"2012-06-14T10:25:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal flows on warm Martian slopes","docAbstract":"Water probably flowed across ancient Mars, but whether it ever exists as a liquid on the surface today remains debatable. Recurring slope lineae (RSL) are narrow (0.5 to 5 meters), relatively dark markings on steep (25&deg; to 40&deg;) slopes; repeat images from the Mars Reconnaissance Orbiter High Resolution Imaging Science Experiment show them to appear and incrementally grow during warm seasons and fade in cold seasons. They extend downslope from bedrock outcrops, often associated with small channels, and hundreds of them form in some rare locations. RSL appear and lengthen in the late southern spring and summer from 48&deg;S to 32&deg;S latitudes favoring equator-facing slopes, which are times and places with peak surface temperatures from ~250 to 300 kelvin. Liquid brines near the surface might explain this activity, but the exact mechanism and source of water are not understood.","language":"English","publisher":"American Association for the Advancement of Science","publisherLocation":"Washington, D.C.","doi":"10.1126/science.1204816","usgsCitation":"McEwen, A.S., Ojha, L., Dundas, C.M., Mattson, S.S., Byrne, S., Wray, J.J., Cull, S.C., Murchie, S., Thomas, N., and Gulick, V.C., 2011, Seasonal flows on warm Martian slopes: Science, v. 333, no. 6043, p. 740-743, https://doi.org/10.1126/science.1204816.","productDescription":"4 p.","startPage":"740","endPage":"743","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":257815,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"333","issue":"6043","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b88a2e4b08c986b316a8e","contributors":{"authors":[{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":349199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ojha, Lujendra","contributorId":64933,"corporation":false,"usgs":true,"family":"Ojha","given":"Lujendra","affiliations":[],"preferred":false,"id":349200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":349194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mattson, Sarah S.","contributorId":74235,"corporation":false,"usgs":true,"family":"Mattson","given":"Sarah","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":349201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Byrne, Shane","contributorId":53513,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":349198,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wray, James J.","contributorId":81736,"corporation":false,"usgs":false,"family":"Wray","given":"James","email":"","middleInitial":"J.","affiliations":[{"id":7032,"text":"School of Earth and Atmospheric Sciences, Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":349202,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cull, Selby C.","contributorId":6702,"corporation":false,"usgs":true,"family":"Cull","given":"Selby","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":349195,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murchie, Scott L.","contributorId":22615,"corporation":false,"usgs":true,"family":"Murchie","given":"Scott L.","affiliations":[],"preferred":false,"id":349196,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thomas, Nicolas","contributorId":90580,"corporation":false,"usgs":true,"family":"Thomas","given":"Nicolas","affiliations":[],"preferred":false,"id":349203,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gulick, Virginia C.","contributorId":52443,"corporation":false,"usgs":true,"family":"Gulick","given":"Virginia","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":349197,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70005401,"text":"70005401 - 2011 - Evaluation of influence of sediment on the sensitivity of a unionid mussel (<i>Lamsilis silquoidea</i>) to ammonia in 28-day water exposures","interactions":[],"lastModifiedDate":"2020-01-21T16:23:04","indexId":"70005401","displayToPublicDate":"2012-06-14T09:16:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of influence of sediment on the sensitivity of a unionid mussel (<i>Lamsilis silquoidea</i>) to ammonia in 28-day water exposures","docAbstract":"A draft update of the U.S. Environmental Protection Agency ambient water quality criteria (AWQC) for ammonia substantially lowers the ammonia AWQC, primarily due to the inclusion of toxicity data for freshwater mussels. However, most of the mussel data used in the updated AWQC were generated from water-only exposures and limited information is available on the potential influence of the presence of a substrate on the response of mussels in laboratory toxicity tests. Our recent study demonstrated that the acute sensitivity of mussels to ammonia was not influenced by the presence of substrate in 4-d laboratory toxicity tests. The objective of the current study was to determine the sensitivity of mussels to ammonia in chronic 28-d water exposures with the sediment present (sediment treatment) or absent (water-only treatment). The chronic toxicity test was conducted starting with two-month-old juvenile mussels (fatmucket, <i>Lampsilis siliquoidea</i>) in a flow-through diluter system, which maintained consistent pH (&#8776;8.3) and six concentrations of total ammonia nitrogen (N) in overlying water and in sediment pore water. The chronic value (ChV, geometric mean of the no-observed-effect concentration and the lowest-observed-effect concentration) was 0.36 mg N/L for survival or biomass in the water-only treatment, and was 0.66 mg N/L for survival and 0.20 mg N/L for biomass in the sediment treatment. The 20% effect concentration (EC20) for survival was 0.63 mg N/L in the water-only treatment and was 0.86 mg N/L in the sediment treatment (with overlapping 95% confidence intervals; no EC20 for biomass was estimated because the data did not meet the conditions for any logistic regression analysis). The similar ChVs or EC20s between the water-only treatment and the sediment treatment indicate that the presence of sediment did not substantially influence the sensitivity of juvenile mussels to ammonia in the 28-d chronic laboratory water exposures.","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.616","usgsCitation":"Wang, N., Consbrock, R.A., Ingersoll, C.G., and Barnhart, M., 2011, Evaluation of influence of sediment on the sensitivity of a unionid mussel (<i>Lamsilis silquoidea</i>) to ammonia in 28-day water exposures: Environmental Toxicology and Chemistry, v. 30, no. 10, p. 2270-2276, https://doi.org/10.1002/etc.616.","productDescription":"7 p.","startPage":"2270","endPage":"2276","numberOfPages":"7","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":257801,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"30","issue":"10","noUsgsAuthors":false,"publicationDate":"2011-10-01","publicationStatus":"PW","scienceBaseUri":"505a0c89e4b0c8380cd52bb6","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":352420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Consbrock, Rebecca A. 0000-0002-5748-7046 rconsbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":3095,"corporation":false,"usgs":true,"family":"Consbrock","given":"Rebecca","email":"rconsbrock@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":352421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":352419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, M. Christopher","contributorId":78061,"corporation":false,"usgs":true,"family":"Barnhart","given":"M. Christopher","affiliations":[],"preferred":false,"id":352422,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003978,"text":"70003978 - 2011 - Concentrations and bioaccessibility of metals in vegetation and dust near a mining haul road, Cape Krusenstern National Monument, Alaska","interactions":[],"lastModifiedDate":"2020-01-28T16:02:52","indexId":"70003978","displayToPublicDate":"2012-06-14T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Concentrations and bioaccessibility of metals in vegetation and dust near a mining haul road, Cape Krusenstern National Monument, Alaska","docAbstract":"Vegetation, sub-surface peat, and road dust were sampled near the Delong Mountain Transportation System (DMTS) haul road in northwest Alaska in 2005-2006 to document aluminum, barium, cadmium, lead, and zinc concentrations, and to evaluate bioaccessibility of these metals. The DMTS haul road is the transport corridor between Red Dog Mine (a large-scale, lead-zinc mine and mill) and the coastal shipping port, and it traverses National Park Service lands. Compared to reference locations, total metal concentrations in four types of vegetation (birch, cranberry, and willow leaves, and cotton grass blades/stalks) collected 25 m from the haul road were enriched on average by factors of 3.5 for zinc, 8.0 for barium, 20 for cadmium, and 150 for lead. Triple rinsing of vegetation with a water/methanol mixture reduced metals concentrations by at most 50%, and cadmium and zinc concentrations were least affected by rinsing. Cadmium and zinc bioaccessibility was greater in vegetation (50% to 100%) than in dust (15% to 20%); whereas the opposite pattern was observed for lead bioaccessibility (<30% in vegetation; 50% in dust). Barium exhibited low-to-intermediate bioaccessibility in dust and vegetation (20% to 40%), whereas aluminum bioaccessibility was relatively low (<6%) in all sample types. Our reconnaissance-level study indicates that clean-up and improvements in lead/zinc concentrate transfer activities have been effective; however, as of 2006, metal dispersion from past and/or present releases of fugitive dusts along the DMTS road still may have been contributing to elevated metals in surface vegetation. Vegetation was most enriched in lead, but because bioaccessibility of cadmium was greater, any potential risks to animals that forage near the haul road might be equally important for both of these metals.","language":"English","publisher":"Springer","doi":"10.1007/s10661-011-1879-z","usgsCitation":"Brumbaugh, W.G., Morman, S.A., and May, T.W., 2011, Concentrations and bioaccessibility of metals in vegetation and dust near a mining haul road, Cape Krusenstern National Monument, Alaska: Environmental Monitoring and Assessment, v. 182, no. 1-4, p. 325-340, https://doi.org/10.1007/s10661-011-1879-z.","productDescription":"16 p.","startPage":"325","endPage":"340","numberOfPages":"16","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":257599,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Cape Krusenstern National Monument","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -164.90478515625,\n              67.01171909603052\n            ],\n            [\n              -161.839599609375,\n              67.01171909603052\n            ],\n            [\n              -161.839599609375,\n              67.83412789868609\n            ],\n            [\n              -164.90478515625,\n              67.83412789868609\n            ],\n            [\n              -164.90478515625,\n              67.01171909603052\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"182","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2011-02-12","publicationStatus":"PW","scienceBaseUri":"5059f983e4b0c8380cd4d64c","contributors":{"authors":[{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":350009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":350010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":350011,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038509,"text":"70038509 - 2011 - Behavioral, clinical, and pathological characterization of acid metalliferous water toxicity in mallards","interactions":[],"lastModifiedDate":"2020-01-15T06:12:24","indexId":"70038509","displayToPublicDate":"2012-06-04T12:13:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral, clinical, and pathological characterization of acid metalliferous water toxicity in mallards","docAbstract":"From September to November 2000, United States Fish and Wildlife Service biologists investigated incidents involving 221 bird deaths at 3 mine sites located in New Mexico and Arizona. These bird deaths primarily involved passerine and waterfowl species and were assumed to be linked to consumption of acid metalliferous water (AMW). Because all of the carcasses were found in or near pregnant leach solution ponds, tailings ponds, and associated lakes or storm water retention basins, an acute-toxicity study was undertaken using a synthetic AMW (SAMW) formulation based on the contaminant profile of a representative pond believed to be responsible for avian mortalities. An acute oral-toxicity trial was performed with a mixed-sex group of mallards (<i>Anas platyrhynchos</i>). After a 24-h pretreatment food and water fast, gorge drinking was evident in both SAMW treatment and control groups, with water consumption rates greatest during the initial drinking periods. Seven of nine treated mallards were killed in extremis within 12 h after the initiation of dose. Total lethal doses of SAMW ranged from 69.8 to 270.1 mL/kg (mean &plusmn; SE 127.9 &plusmn; 27.1). Lethal doses of SAMW were consumed in as few as 20 to 40 min after first exposure. Clinical signs of SAMW toxicity included increased serum uric acid, aspartate aminotransferase, creatine kinase, potassium, and P levels. PCV values of SAMW-treated birds were also increased compared with control mallards. Histopathological lesions were observed in the esophagus, proventriculus, ventriculus, and duodenum of SAMW-treated mallards, with the most distinctive being erosion and ulceration of the kaolin of the ventriculus, ventricular hemorrhage and/or congestion, and duodenal hemorrhage. Clinical, pathological, and tissue-residue results from this study are consistent with literature documenting acute metal toxicosis, especially copper (Cu), in avian species and provide useful diagnostic profiles for AMW toxicity or mortality events. Blood and kidney Cu concentrations were 23- and 6-fold greater, respectively, in SAMW mortalities compared with controls, whereas Cu concentrations in liver were not nearly as increased, suggesting that blood and kidney concentrations may be more useful than liver concentrations for diagnosing Cu toxicosis in wild birds. Based on these findings and other reports of AMW toxicity events in wild birds, we conclude that AMW bodies pose a significant hazard to wildlife that come in contact with them.","language":"English","publisher":"Springer","doi":"10.1007/s00244-011-9657-z","usgsCitation":"Isanhart, J., Wu, H., Pandher, K., MacRae, R.K., Cox, S., and Hooper, M.J., 2011, Behavioral, clinical, and pathological characterization of acid metalliferous water toxicity in mallards: Archives of Environmental Contamination and Toxicology, v. 61, no. 4, p. 653-667, https://doi.org/10.1007/s00244-011-9657-z.","productDescription":"15 p.","startPage":"653","endPage":"667","numberOfPages":"15","temporalStart":"2000-09-01","temporalEnd":"2000-11-30","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology 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,{"id":70005784,"text":"70005784 - 2011 - Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers","interactions":[],"lastModifiedDate":"2017-10-14T11:32:30","indexId":"70005784","displayToPublicDate":"2012-06-03T10:07:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers","docAbstract":"Principal component analysis (PCA) applied to hydrochemical data has been used with end-member mixing to characterize groundwater flow to a limited extent, but aspects of this approach are unresolved. Previous similar approaches typically have assumed that the extreme-value samples identified by PCA represent end members. The method presented herein is different from previous work in that (1) end members were not assumed to have been sampled but rather were estimated and constrained by prior knowledge; (2) end-member mixing was quantified in relation to hydrogeologic domains, which focuses model results on major hydrologic processes; (3) a method to select an appropriate number of end members using a series of cluster analyses is presented; and (4) conservative tracers were weighted preferentially in model calibration, which distributed model errors of optimized values, or residuals, more appropriately than would otherwise be the case. The latter item also provides an estimate of the relative influence of geochemical evolution along flow paths in comparison to mixing. This method was applied to groundwater in Wind Cave and the associated karst aquifer in the Black Hills of South Dakota, USA. The end-member mixing model was used to test a hypothesis that five different end-member waters are mixed in the groundwater system comprising five hydrogeologic domains. The model estimated that Wind Cave received most of its groundwater inflow from local surface recharge with an additional 33% from an upgradient aquifer. Artesian springs in the vicinity of Wind Cave primarily received water from regional groundwater flow.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2011.08.028","usgsCitation":"Long, A.J., and Valder, J., 2011, Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers: Journal of Hydrology, v. 409, no. 1-2, p. 315-327, https://doi.org/10.1016/j.jhydrol.2011.08.028.","productDescription":"13 p.","startPage":"315","endPage":"327","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":257435,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","volume":"409","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a60b2e4b0c8380cd7162a","contributors":{"authors":[{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valder, Joshua F. 0000-0003-3733-8868 jvalder@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-8868","contributorId":1431,"corporation":false,"usgs":true,"family":"Valder","given":"Joshua F.","email":"jvalder@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353210,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005240,"text":"70005240 - 2011 - Multiple applications of the U.S. EPA 1312 leach procedure to mine waste from the Animas watershed, SW Colorado","interactions":[],"lastModifiedDate":"2021-02-25T20:28:25.221294","indexId":"70005240","displayToPublicDate":"2012-06-03T09:21:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Multiple applications of the U.S. EPA 1312 leach procedure to mine waste from the Animas watershed, SW Colorado","docAbstract":"<p><span>Eleven acid-sulphate and quartz-sericite-pyrite altered mine waste samples from the Animas River watershed in SW Colorado were subjected to a series of 5 to 6 successive leaches using the US EPA 1312 leach protocol to evaluate the transport of metals and loss of acidity from mine wastes as a function of time. Multi-acid digestion ICP-AES analyses, X-ray diffraction (XRD) mineral identification, total sulphur, and net acid potential (NAP) determinations were performed on the initial starting materials. Multiple leaching steps generally showed a ‘flushing' effect, whereby elements loosely bound, presumably as water-soluble salts, were removed. Aluminum, Cd, Fe, Mg, Mn, Sr, Zn, and S showed decreasing concentration trends, whereas Cu concentrations showed initially decreasing trends, followed by increasing trends in later steps. Concentrations of Zn in the first leach step were independent of whole-sample Zn content. Lead and Ba concentrations consistently increased with each step, indicating that anglesite (PbSO</span><sub>4</sub><span>) and barite (BaSO</span><sub>4</sub><span>), respectively, were dissolving in successive leach steps. Comparison of Fe content with NAP resulted in a modest correlation. However, using the S analyses and XRD identification of sulphide minerals to apportion S amongst enargite, barite, anglesite/galena, and sphalerite, and assigning the remaining S to pyrite, provided a useful correlation between estimated pyrite content and NAP. Whole-sample mass loss correlated well with NAP, but individual elements' behaviors varied between positive correlation (e.g. Al, Fe, Mg), no apparent correlation (Ca, Cd, Pb, Zn), and negative correlation (Cu). Comparison of the summed titrated acidities of the leachates with the whole-sample NAP values yielded an estimate of the fraction of NAP consumed, and led to an estimate of the time it would take to consume the sample acidity by weathering. We estimate, on the basis of these experiments, the acidity in the upper 30 cm would be consumed in 200–1000 years. In addition, calculations suggest that the acidity would be depleted before the complete store of the metals Cu-Cd-Zn in these mine wastes would be released to the environment.</span></p>","language":"English","publisher":"The Geological Society of London","doi":"10.1144/1467-7873/09-245","usgsCitation":"Fey, D.L., Church, S.E., Driscoll, R.L., and Adams, M., 2011, Multiple applications of the U.S. EPA 1312 leach procedure to mine waste from the Animas watershed, SW Colorado: Geochemistry: Exploration, Environment, Analysis, v. 11, no. 3, p. 163-178, https://doi.org/10.1144/1467-7873/09-245.","productDescription":"16 p.","startPage":"163","endPage":"178","numberOfPages":"16","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":257414,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Animas River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.79956817626953,\n              37.78075532805877\n            ],\n            [\n              -107.53589630126953,\n              37.78075532805877\n            ],\n            [\n              -107.53589630126953,\n              37.934179150985045\n            ],\n            [\n              -107.79956817626953,\n              37.934179150985045\n            ],\n            [\n              -107.79956817626953,\n              37.78075532805877\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-08-19","publicationStatus":"PW","scienceBaseUri":"505a605ee4b0c8380cd713df","contributors":{"authors":[{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":352127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Church, Stan E. schurch@usgs.gov","contributorId":803,"corporation":false,"usgs":true,"family":"Church","given":"Stan","email":"schurch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":352129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, Rhonda L. 0000-0001-7725-8956 rdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-8956","contributorId":745,"corporation":false,"usgs":true,"family":"Driscoll","given":"Rhonda","email":"rdriscoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":352128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Monique G.","contributorId":76338,"corporation":false,"usgs":true,"family":"Adams","given":"Monique G.","affiliations":[],"preferred":false,"id":352130,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005436,"text":"70005436 - 2011 - Multilevel eEmpirical Bayes modeling for improved estimation of toxicant formulations tosuppress parasitic sea lamprey in the Upper Great Lakes","interactions":[],"lastModifiedDate":"2012-06-12T01:01:50","indexId":"70005436","displayToPublicDate":"2012-06-03T08:47:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Multilevel eEmpirical Bayes modeling for improved estimation of toxicant formulations tosuppress parasitic sea lamprey in the Upper Great Lakes","docAbstract":"Estimation of extreme quantal-response statistics, such as the concentration required to kill 99.9% of test subjects (LC99.9), remains a challenge in the presence of multiple covariates and complex study designs. Accurate and precise estimates of the LC99.9 for mixtures of toxicants are critical to ongoing control of a parasitic invasive species, the sea lamprey, in the Laurentian Great Lakes of North America. The toxicity of those chemicals is affected by local and temporal variations in water chemistry, which must be incorporated into the modeling. We develop multilevel empirical Bayes models for data from multiple laboratory studies. Our approach yields more accurate and precise estimation of the LC99.9 compared to alternative models considered. This study demonstrates that properly incorporating hierarchical structure in laboratory data yields better estimates of LC99.9 stream treatment values that are critical to larvae control in the field. In addition, out-of-sample prediction of the results of in situ tests reveals the presence of a latent seasonal effect not manifest in the laboratory studies, suggesting avenues for future study and illustrating the importance of dual consideration of both experimental and observational data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biometrics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The International Biometric Society","publisherLocation":"Washington, D.C.","doi":"10.1111/j.1541-0420.2011.01566.x","usgsCitation":"Hatfield, L.A., Gutreuter, S., Boogaard, M.A., and Carlin, B.P., 2011, Multilevel eEmpirical Bayes modeling for improved estimation of toxicant formulations tosuppress parasitic sea lamprey in the Upper Great Lakes: Biometrics, v. 67, no. 3, p. 1153-1162, https://doi.org/10.1111/j.1541-0420.2011.01566.x.","productDescription":"10 p.","startPage":"1153","endPage":"1162","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":474729,"rank":101,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc3111860","text":"External Repository"},{"id":257407,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1111/j.1541-0420.2011.01566.x","linkFileType":{"id":5,"text":"html"}},{"id":257413,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois;Indiana;Michigan;Minnesota;Wisconsin","volume":"67","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-01","publicationStatus":"PW","scienceBaseUri":"505a602be4b0c8380cd71334","contributors":{"authors":[{"text":"Hatfield, Laura A.","contributorId":88992,"corporation":false,"usgs":true,"family":"Hatfield","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":352514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gutreuter, Steve","contributorId":91437,"corporation":false,"usgs":true,"family":"Gutreuter","given":"Steve","affiliations":[],"preferred":false,"id":352515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boogaard, Michael A. 0000-0002-5192-8437 mboogaard@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":865,"corporation":false,"usgs":true,"family":"Boogaard","given":"Michael","email":"mboogaard@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlin, Bradley P.","contributorId":16690,"corporation":false,"usgs":true,"family":"Carlin","given":"Bradley","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":352513,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038140,"text":"70038140 - 2011 - Stationarity: Wanted dead or alive?","interactions":[],"lastModifiedDate":"2013-03-11T22:24:08","indexId":"70038140","displayToPublicDate":"2012-06-03T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Stationarity: Wanted dead or alive?","docAbstract":"Aligning engineering practice with natural process behavior would appear, on its face, to be a prudent and reasonable course of action. However, if we do not understand the long-term characteristics of hydroclimatic processes, how does one find the prudent and reasonable course needed for water management? We consider this question in light of three aspects of existing and unresolved issues affecting hydroclimatic variability and statistical inference: Hurst-Kolmogorov phenomena; the complications long-term persistence introduces with respect to statistical understanding; and the dependence of process understanding on arbitrary sampling choices. These problems are not easily addressed. In such circumstances, humility may be more important than physics; a simple model with well-understood flaws may be preferable to a sophisticated model whose correspondence to reality is uncertain.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Water Resources Association","publisherLocation":"Middleburg, VA","doi":"10.1111/j.1752-1688.2011.00542.x","usgsCitation":"Lins, L.F., and Cohn, T., 2011, Stationarity: Wanted dead or alive?: Journal of the American Water Resources Association, v. 47, no. 3, p. 475-480, https://doi.org/10.1111/j.1752-1688.2011.00542.x.","productDescription":"6 p.","startPage":"475","endPage":"480","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":257440,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257426,"rank":100,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00542.x","linkFileType":{"id":5,"text":"html"}}],"volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-06-01","publicationStatus":"PW","scienceBaseUri":"505b96fee4b08c986b31b80c","contributors":{"authors":[{"text":"Lins, Larry F.","contributorId":75374,"corporation":false,"usgs":true,"family":"Lins","given":"Larry","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":463505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohn, Timothy A. tacohn@usgs.gov","contributorId":2927,"corporation":false,"usgs":true,"family":"Cohn","given":"Timothy A.","email":"tacohn@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":463504,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006287,"text":"70006287 - 2011 - Modules based on the geochemical model PHREEQC for use in scripting and programming languages","interactions":[],"lastModifiedDate":"2020-01-28T10:15:24","indexId":"70006287","displayToPublicDate":"2012-05-29T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Modules based on the geochemical model PHREEQC for use in scripting and programming languages","docAbstract":"The geochemical model PHREEQC is capable of simulating a wide range of equilibrium reactions between water and minerals, ion exchangers, surface complexes, solid solutions, and gases. It also has a general kinetic formulation that allows modeling of nonequilibrium mineral dissolution and precipitation, microbial reactions, decomposition of organic compounds, and other kinetic reactions. To facilitate use of these reaction capabilities in scripting languages and other models, PHREEQC has been implemented in modules that easily interface with other software. A Microsoft COM (component object model) has been implemented, which allows PHREEQC to be used by any software that can interface with a COM server&mdash;for example, Excel&reg;, Visual Basic&reg;, Python, or MATLAB\". PHREEQC has been converted to a C++ class, which can be included in programs written in C++. The class also has been compiled in libraries for Linux and Windows that allow PHREEQC to be called from C++, C, and Fortran. A limited set of methods implements the full reaction capabilities of PHREEQC for each module. Input methods use strings or files to define reaction calculations in exactly the same formats used by PHREEQC. Output methods provide a table of user-selected model results, such as concentrations, activities, saturation indices, and densities. The PHREEQC module can add geochemical reaction capabilities to surface-water, groundwater, and watershed transport models. It is possible to store and manipulate solution compositions and reaction information for many cells within the module. In addition, the object-oriented nature of the PHREEQC modules simplifies implementation of parallel processing for reactive-transport models. The PHREEQC COM module may be used in scripting languages to fit parameters; to plot PHREEQC results for field, laboratory, or theoretical investigations; or to develop new models that include simple or complex geochemical calculations.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2011.02.005","usgsCitation":"Charlton, S.R., and Parkhurst, D.L., 2011, Modules based on the geochemical model PHREEQC for use in scripting and programming languages: Computers & Geosciences, v. 37, no. 10, p. 1653-1663, https://doi.org/10.1016/j.cageo.2011.02.005.","productDescription":"11 p.","startPage":"1653","endPage":"1663","numberOfPages":"10","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":257300,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5ce4e4b0c8380cd6fff5","contributors":{"authors":[{"text":"Charlton, Scott R. 0000-0001-7332-3394 charlton@usgs.gov","orcid":"https://orcid.org/0000-0001-7332-3394","contributorId":1632,"corporation":false,"usgs":true,"family":"Charlton","given":"Scott","email":"charlton@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":354231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parkhurst, David L. 0000-0003-3348-1544 dlpark@usgs.gov","orcid":"https://orcid.org/0000-0003-3348-1544","contributorId":1088,"corporation":false,"usgs":true,"family":"Parkhurst","given":"David","email":"dlpark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":354230,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006305,"text":"70006305 - 2011 - Mercury export from the Yukon River Basin and potential response to a changing climate","interactions":[],"lastModifiedDate":"2020-01-28T08:49:51","indexId":"70006305","displayToPublicDate":"2012-05-28T10:18:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Mercury export from the Yukon River Basin and potential response to a changing climate","docAbstract":"We measured mercury (Hg) concentrations and calculated export and yield from the Yukon River Basin (YRB) to quantify Hg flux from a large, permafrost-dominated, high-latitude watershed. Exports of Hg averaged 4400 kg Hg yr<sup>-1</sup>. The average annual yield for the YRB during the study period was 5.17 &mu;g m<sup>-2</sup> yr<sup>-1</sup>, which is 3&ndash;32 times more than Hg yields reported for 8 other major northern hemisphere river basins. The vast majority (90%) of Hg export is associated with particulates. Half of the annual export of Hg occurred during the spring with about 80% of 34 samples exceeding the U.S. EPA Hg standard for adverse chronic effects to biota. Dissolved and particulate organic carbon exports explained 81% and 50%, respectively, of the variance in Hg exports, and both were significantly (<i>p</i> < 0.001) correlated with water discharge. Recent measurements indicate that permafrost contains a substantial reservoir of Hg. Consequently, climate warming will likely accelerate the mobilization of Hg from thawing permafrost increasing the export of organic carbon associated Hg and thus potentially exacerbating the production of bioavailable methylmercury from permafrost-dominated northern river basins.","language":"English","publisher":"ACS Publications","doi":"10.1021/es202068b","usgsCitation":"Schuster, P.F., Striegl, R.G., Aiken, G.R., Krabbenhoft, D.P., DeWild, J.F., Butler, K.D., Kamark, B., and Dornblaser, M., 2011, Mercury export from the Yukon River Basin and potential response to a changing climate: Environmental Science & Technology, v. 45, no. 21, p. 9262-9267, https://doi.org/10.1021/es202068b.","productDescription":"6 p.","startPage":"9262","endPage":"9267","numberOfPages":"6","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true},{"id":381,"text":"Mercury Research Laboratory","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":257222,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.21484375,\n              61.71070595883174\n            ],\n            [\n              -141.15234374999997,\n              61.71070595883174\n            ],\n            [\n              -141.15234374999997,\n              69.19379976461904\n            ],\n            [\n              -155.21484375,\n              69.19379976461904\n            ],\n            [\n              -155.21484375,\n              61.71070595883174\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"21","noUsgsAuthors":false,"publicationDate":"2011-10-06","publicationStatus":"PW","scienceBaseUri":"505a5403e4b0c8380cd6ce63","contributors":{"authors":[{"text":"Schuster, Paul F. 0000-0002-8314-1372 pschuste@usgs.gov","orcid":"https://orcid.org/0000-0002-8314-1372","contributorId":1360,"corporation":false,"usgs":true,"family":"Schuster","given":"Paul","email":"pschuste@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":354274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":354278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":354273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":354275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","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":354276,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butler, Kenna D. kebutler@usgs.gov","contributorId":3283,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":354277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kamark, Ben","contributorId":80976,"corporation":false,"usgs":true,"family":"Kamark","given":"Ben","email":"","affiliations":[],"preferred":false,"id":354279,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dornblaser, Mark","contributorId":97777,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","affiliations":[],"preferred":false,"id":354280,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70007531,"text":"70007531 - 2011 - How reservoirs alter drinking water quality: Organic matter sources, sinks, and transformations","interactions":[],"lastModifiedDate":"2017-04-25T16:39:53","indexId":"70007531","displayToPublicDate":"2012-05-27T12:46:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"How reservoirs alter drinking water quality: Organic matter sources, sinks, and transformations","docAbstract":"Within reservoirs, production, transformation, and loss of dissolved organic matter (DOM) occur simultaneously. While the balance between production and loss determines whether a reservoir is a net sink or source of DOM, changes in chemical composition are also important because they affect DOM reactivity with respect to disinfection by-product (DBP) formation. The composition of the DOM pool also provides insight into DOM sources and processing, which can inform reservoir management. We examined the concentration and composition of DOM in San Luis Reservoir, a large off-stream impoundment of the California State Water Project. We used a wide array of DOM chemical tracers including dissolved organic carbon (DOC) concentration, trihalomethane and haloacetic acid formation potentials (THMFP and HAAFP, respectively), absorbance properties, isotopic composition, lignin phenol content, and structural groupings determined by <sup>13</sup>C nuclear magnetic resonance (NMR). There were periods when the reservoir was a net source of DOC due to the predominance of algal production (summer), a net sink due to the predominance of degradation (fall&ndash;winter), and balanced between production and consumption (spring). Despite only moderate variation in bulk DOC concentration (3.0&ndash;3.6 mg C/L), changes in DOM composition indicated that terrestrial-derived material entering the reservoir was being degraded and replaced by aquatic-derived DOM produced within the reservoir. Substantial changes in the propensity of the DOM pool to form THMs and HAAs illustrate that the DBP precursor pool was not directly coupled to bulk DOC concentration and indicate that algal production is an important source of DBP precursors. Results suggest reservoirs have the potential to attenuate DOM amount and reactivity with respect to DBP precursors via degradative processes; however, these benefits can be decreased or even negated by the production of algal-derived DOM.","language":"English","publisher":"Taylor and Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/07438141.2011.597283","usgsCitation":"Kraus, T., Bergamaschi, B., Hernes, P.J., Doctor, D.H., Kendall, C., Downing, B.D., and Losee, R.F., 2011, How reservoirs alter drinking water quality: Organic matter sources, sinks, and transformations: Lake and Reservoir Management, v. 27, no. 3, p. 205-219, https://doi.org/10.1080/07438141.2011.597283.","productDescription":"12 p.","startPage":"205","endPage":"219","numberOfPages":"15","ipdsId":"IP-025590","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":474733,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/07438141.2011.597283","text":"Publisher Index Page"},{"id":257152,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Luis Reservoir","volume":"27","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3255e4b0c8380cd5e715","contributors":{"authors":[{"text":"Kraus, Tamara E.C. 0000-0002-5187-8644","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":92410,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara E.C.","affiliations":[],"preferred":false,"id":356613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":73241,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","affiliations":[],"preferred":false,"id":356611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hernes, Peter J.","contributorId":85311,"corporation":false,"usgs":true,"family":"Hernes","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":356612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":356609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":356608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356607,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Losee, Richard F.","contributorId":8709,"corporation":false,"usgs":true,"family":"Losee","given":"Richard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":356610,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70006296,"text":"70006296 - 2011 - Hydrogeochemical processes governing the origin, transport and fate of major and trace elements from mine wastes and mineralized rock to surface waters","interactions":[],"lastModifiedDate":"2020-01-11T10:45:02","indexId":"70006296","displayToPublicDate":"2012-05-23T12:10:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeochemical processes governing the origin, transport and fate of major and trace elements from mine wastes and mineralized rock to surface waters","docAbstract":"<p>The formation of acid mine drainage from metals extraction or natural acid rock drainage and its mixing with surface waters is a complex process that depends on petrology and mineralogy, structural geology, geomorphology, surface-water hydrology, hydrogeology, climatology, microbiology, chemistry, and mining and mineral processing history. The concentrations of metals, metalloids, acidity, alkalinity, Cl<sup>-</sup>, F<sup>-</sup> and SO<sub>4</sub><sup>2-</sup> found in receiving streams, rivers, and lakes are affected by all of these factors and their interactions. Remediation of mine sites is an engineering concern but to design a remediation plan without understanding the hydrogeochemical processes of contaminant mobilization can lead to ineffective and excessively costly remediation. Furthermore, remediation needs a goal commensurate with natural background conditions rather than water-quality standards that might bear little relation to conditions of a highly mineralized terrain. This paper reviews hydrogeochemical generalizations, primarily from US Geological Survey research, that enhance our understanding of the origin, transport, and fate of contaminants released from mined and mineralized areas.</p>\n<p>Mobility of potential or actual contaminants from mining and mineral processing activities depends on (1) <i>occurrence</i>: is the mineral source of the contaminant actually present? (2) <i>abundance</i>: is the mineral present in sufficient quantity to make a difference? (3) <i>reactivity</i>: what are the energetics, rates, and mechanisms of sorption and mineral dissolution and precipitation relative to the flow rate of the water? and (4) <i>hydrology</i>: what are the main flow paths for contaminated water? Estimates of relative proportions of minerals dissolved and precipitated can be made with mass-balance calculations if minerals and water compositions along a flow path are known. Combined with discharge, these mass-balance estimates quantify the actual weathering rate of pyrite mineralization in the environment and compare reasonably well with laboratory rates of pyrite oxidation except when large quantities of soluble salts and evaporated mine waters have accumulated underground. Quantitative mineralogy with trace-element compositions can substantially improve the identification of source minerals for specific trace elements through mass balances. Post-dissolution sorption and precipitation (attenuation) reactions depend on the chemical behavior of each element, solution composition and pH, aqueous speciation, temperature, and contact-time with mineral surfaces. For example, little metal attenuation occurs in waters of low pH (<3.5) and metals tend to maintain element ratios indicative of the main mineral or group of minerals from which they dissolved, except Fe, SiO<sub>2</sub>, and redox-sensitive oxyanions (As, Sb, Se, Mo, Cr, V). Once dissolved, metal and metalloid concentrations are strongly affected by redox conditions and pH. Iron is the most reactive because it is rapidly oxidized by bacteria and archaea and Fe(III) hydrolyzes and precipitates at low pH (1&ndash;3) which is related directly to its first hydrolysis constant, pK<sub>1</sub> = 2.2. Several insoluble sulfate minerals precipitate at low pH including anglesite, barite, jarosite, alunite and basaluminite. Aluminum hydrolyzes near pH 5 (pK<sub>1</sub> = 5.0) and provides buffering and removal of Al by mineral precipitation from pH 4&ndash;5.5. Dissolved sulfate behaves conservatively because the amount removed from solution by precipitation is usually too small relative to the high concentrations in the water column and relative to the flow rate of the water.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.06.002","usgsCitation":"Nordstrom, D.K., 2011, Hydrogeochemical processes governing the origin, transport and fate of major and trace elements from mine wastes and mineralized rock to surface waters: Applied Geochemistry, v. 26, no. 11, p. 1777-1791, https://doi.org/10.1016/j.apgeochem.2011.06.002.","productDescription":"15 p.","startPage":"1777","endPage":"1791","numberOfPages":"14","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":257096,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3357e4b0c8380cd5ef15","contributors":{"authors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":354250,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70003944,"text":"70003944 - 2011 - Intra-seasonal variation in foraging behavior among Adélie penguins (Pygocelis adeliae) breeding at Cape Hallett, Ross Sea, Antarctica","interactions":[],"lastModifiedDate":"2022-08-30T10:54:10.046989","indexId":"70003944","displayToPublicDate":"2012-05-23T11:26:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Intra-seasonal variation in foraging behavior among Adélie penguins (Pygocelis adeliae) breeding at Cape Hallett, Ross Sea, Antarctica","docAbstract":"We investigated intra-seasonal variation in foraging behavior of chick-rearing Ad&#233;lie penguins, <i>Pygoscelis adeliae</i>, during two consecutive summers at Cape Hallett, northwestern Ross Sea. Although foraging behavior of this species has been extensively studied throughout the broad continental shelf region of the Ross Sea, this is the first study to report foraging behaviors and habitat affiliations among birds occupying continental slope waters. Continental slope habitat supports the greatest abundances of this species throughout its range, but we lack information about how intra-specific competition for prey might affect foraging and at-sea distribution and how these attributes compare with previous Ross Sea studies. Foraging trips increased in both distance and duration as breeding advanced from guard to cr&#232;che stage, but foraging dive depth, dive rates, and vertical dive distances travelled per hour decreased. Consistent with previous studies within slope habitats elsewhere in Antarctic waters, Antarctic krill (<i>Euphausia superba</i>) dominated chick meal composition, but fish increased four-fold from guard to cr&#232;che stages. Foraging-, focal-, and core areas all doubled during the cr&#232;che stage as individuals shifted distribution in a southeasterly direction away from the coast while simultaneously becoming more widely dispersed (i.e., less spatial overlap among individuals). Intra-specific competition for prey among Ad&#233;lie penguins appears to influence foraging behavior of this species, even in food webs dominated by Antarctic krill.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00300-010-0858-0","usgsCitation":"Lyver, P.O., MacLeod, C.J., Ballard, G., Karl, B.J., Barton, K.J., Adams, J., Ainley, D., and Wilson, P.R., 2011, Intra-seasonal variation in foraging behavior among Adélie penguins (Pygocelis adeliae) breeding at Cape Hallett, Ross Sea, Antarctica: Polar Biology, v. 34, no. 1, p. 49-67, https://doi.org/10.1007/s00300-010-0858-0.","productDescription":"19 p.","startPage":"49","endPage":"67","numberOfPages":"19","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":257094,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Cape Hallett, Ross Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              168.5302734375,\n              -72.88087095711502\n            ],\n            [\n              174.111328125,\n              -72.88087095711502\n            ],\n            [\n              174.111328125,\n              -71.18775391813158\n            ],\n            [\n              168.5302734375,\n              -71.18775391813158\n            ],\n            [\n              168.5302734375,\n              -72.88087095711502\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-07-15","publicationStatus":"PW","scienceBaseUri":"505a3dbde4b0c8380cd637e1","contributors":{"authors":[{"text":"Lyver, P. O. B.","contributorId":93714,"corporation":false,"usgs":false,"family":"Lyver","given":"P.","email":"","middleInitial":"O. B.","affiliations":[],"preferred":false,"id":349652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacLeod, C. J.","contributorId":50333,"corporation":false,"usgs":false,"family":"MacLeod","given":"C.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":349648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballard, G.","contributorId":75314,"corporation":false,"usgs":false,"family":"Ballard","given":"G.","email":"","affiliations":[],"preferred":false,"id":349650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karl, B. J.","contributorId":43544,"corporation":false,"usgs":false,"family":"Karl","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":349646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barton, K. J.","contributorId":66897,"corporation":false,"usgs":false,"family":"Barton","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":349649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, J.","contributorId":45240,"corporation":false,"usgs":true,"family":"Adams","given":"J.","affiliations":[],"preferred":false,"id":349647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ainley, D. G.","contributorId":77870,"corporation":false,"usgs":false,"family":"Ainley","given":"D. G.","affiliations":[],"preferred":false,"id":349651,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, P. R.","contributorId":11388,"corporation":false,"usgs":false,"family":"Wilson","given":"P.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":349645,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70005652,"text":"70005652 - 2011 - Interhemispheric ice-sheet synchronicity during the last glacial maximum","interactions":[],"lastModifiedDate":"2012-06-01T01:01:40","indexId":"70005652","displayToPublicDate":"2012-05-23T11:01:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Interhemispheric ice-sheet synchronicity during the last glacial maximum","docAbstract":"The timing of the last maximum extent of the Antarctic ice sheets relative to those in the Northern Hemisphere remains poorly understood. We develop a chronology for the Weddell Sea sector of the East Antarctic Ice Sheet that, combined with ages from other Antarctic ice-sheet sectors, indicates that the advance to and retreat from their maximum extent was within dating uncertainties synchronous with most sectors of Northern Hemisphere ice sheets. Surface climate forcing of Antarctic mass balance would probably cause an opposite response, whereby a warming climate would increase accumulation but not surface melting. Our new data support teleconnections involving sea-level forcing from Northern Hemisphere ice sheets and changes in North Atlantic deep-water formation and attendant heat flux to Antarctic grounding lines to synchronize the hemispheric ice sheets.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association for the Advancement of Science","publisherLocation":"Washington, D.C.","doi":"10.1126/science.1209299","usgsCitation":"Weber, M.E., Clark, P., Ricken, W., Mitrovica, J.X., Hostetler, S.W., and Kuhn, G., 2011, Interhemispheric ice-sheet synchronicity during the last glacial maximum: Science, v. 334, no. 6060, p. 1265-1269, https://doi.org/10.1126/science.1209299.","productDescription":"5 p.","startPage":"1265","endPage":"1269","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":257095,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257083,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1126/science.1209299","linkFileType":{"id":5,"text":"html"}}],"volume":"334","issue":"6060","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3d02e4b0c8380cd6321b","contributors":{"authors":[{"text":"Weber, Michael E.","contributorId":38818,"corporation":false,"usgs":true,"family":"Weber","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":353011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Peter U.","contributorId":68994,"corporation":false,"usgs":true,"family":"Clark","given":"Peter U.","affiliations":[],"preferred":false,"id":353012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ricken, Werner","contributorId":102305,"corporation":false,"usgs":true,"family":"Ricken","given":"Werner","email":"","affiliations":[],"preferred":false,"id":353015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitrovica, Jerry X.","contributorId":86200,"corporation":false,"usgs":true,"family":"Mitrovica","given":"Jerry","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":353013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":353010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuhn, Gerhard","contributorId":102080,"corporation":false,"usgs":true,"family":"Kuhn","given":"Gerhard","email":"","affiliations":[],"preferred":false,"id":353014,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038411,"text":"fs20113043 - 2011 - Streamflow of 2010--Water year summary","interactions":[],"lastModifiedDate":"2012-08-28T14:10:23","indexId":"fs20113043","displayToPublicDate":"2012-05-22T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3043","title":"Streamflow of 2010--Water year summary","docAbstract":"The maps and graph in this summary describe streamflow conditions for water-year 2010 (October 1, 2009 to September 30, 2010) in the context of the 81-year period 1930-2010, unless otherwise noted. The illustrations are based on observed data from the U.S. Geological Survey's (USGS) National Streamflow Information Program. The period 1930-2010 was used because prior to 1930, the number of streamgages was too small to provide representative data for computing statistics for most regions of the country.\r\nIn the summary, reference is made to the term \"runoff,\" which is the depth to which a river basin, State, or other geographic area would be covered with water if all the streamflow within the area during a single year was uniformly distributed upon it. Runoff quantifies the magnitude of water flowing through the Nation's rivers and streams in measurement units that can be compared from one area to another.\r\nEach of the maps and graphs below can be expanded to a larger view by clicking on the image. In all the graphics, a rank of 1 indicates the highest flow of all years analyzed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113043","usgsCitation":"Xiaodong, J., Wolock, D.M., Lins, H.F., and Brady, S., 2011, Streamflow of 2010--Water year summary: U.S. Geological Survey Fact Sheet 2011-3043, 8 p., https://doi.org/10.3133/fs20113043.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","temporalStart":"2009-10-01","temporalEnd":"2010-09-30","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":256944,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3043.gif"},{"id":256939,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3043/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9b12e4b08c986b31cc75","contributors":{"authors":[{"text":"Xiaodong, Jian","contributorId":10260,"corporation":false,"usgs":true,"family":"Xiaodong","given":"Jian","email":"","affiliations":[],"preferred":false,"id":464062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":464060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lins, Harry F. 0000-0001-5385-9247 hlins@usgs.gov","orcid":"https://orcid.org/0000-0001-5385-9247","contributorId":1505,"corporation":false,"usgs":true,"family":"Lins","given":"Harry","email":"hlins@usgs.gov","middleInitial":"F.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":464061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Steve","contributorId":108351,"corporation":false,"usgs":true,"family":"Brady","given":"Steve","email":"","affiliations":[],"preferred":false,"id":464063,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005087,"text":"70005087 - 2011 - Influence of dissolved organic carbon on toxicity of copper to a unionid mussel (<i>Villosa iris</i>) and a cladoceran (<i>Ceriodaphnia dubia</i>) in acute and chronic water exposures","interactions":[],"lastModifiedDate":"2020-01-21T16:14:21","indexId":"70005087","displayToPublicDate":"2012-05-21T10:50:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Influence of dissolved organic carbon on toxicity of copper to a unionid mussel (<i>Villosa iris</i>) and a cladoceran (<i>Ceriodaphnia dubia</i>) in acute and chronic water exposures","docAbstract":"Acute and chronic toxicity of copper (Cu) to a unionid mussel (<i>Villosa iris</i>) and a cladoceran (<i>Ceriodaphnia dubia</i>) were determined in water exposures at four concentrations of dissolved organic carbon (DOC; nominally 0.5, 2.5, 5, and 10 mg/L as carbon [C]). Test waters with DOC concentrations of 2.5 to 10 mg C/L were prepared by mixing a concentrate of natural organic matter (Suwannee River, GA, USA) in diluted well water (hardness 100 mg/L as CaCO<sub>3</sub>, pH 8.3, DOC 0.5 mg C/L). Acute median effect concentrations (EC50s) for dissolved Cu increased approximately fivefold (15&ndash;72 &mu;g Cu/L) for mussel survival in 4-d exposures and increased about 11-fold (25&ndash;267 &mu;g Cu/L) for cladoceran survival in 2-d exposures across DOC concentrations from 0.5 to 10 mg C/L. Similarly, chronic 20% effect concentrations (EC20s) for the mussel in 28-d exposures increased about fivefold (13&ndash;61 &mu;g Cu/L for survival; 8.8&ndash;38 &mu;g Cu/L for biomass), and the EC20s for the cladoceran in 7-d exposures increased approximately 17-fold (13&ndash;215 &mu;g Cu/L) for survival or approximately fourfold (12&ndash;42 &mu;g Cu/L) for reproduction across DOC concentrations from 0.5 to 10 mg C/L. The acute and chronic values for the mussel were less than or approximately equal to the values for the cladoceran. Predictions from the biotic ligand model (BLM) used to derive the U.S. Environmental Protection Agency's ambient water quality criteria (AWQC) for Cu explained more than 90% of the variation in the acute and chronic endpoints for the two species, with the exception of the EC20 for cladoceran reproduction (only 46% of variation explained). The BLM-normalized acute EC50s and chronic EC20s for the mussel and BLM-normalized chronic EC20s for the cladoceran in waters with DOC concentrations of 2.5 to 10 mg C/L were equal to or less than the final acute value and final chronic value in the BLM-based AWQC for Cu, respectively, indicating that the Cu AWQC might not adequately protect the mussel from acute and chronic exposure, and the cladoceran from chronic exposure.","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.596","usgsCitation":"Wang, N., Mebane, C.A., Kunz, J.L., Ingersoll, C.G., Brumbaugh, W.G., Santore, R.C., Gorsuch, J.W., and Arnold, W.R., 2011, Influence of dissolved organic carbon on toxicity of copper to a unionid mussel (<i>Villosa iris</i>) and a cladoceran (<i>Ceriodaphnia dubia</i>) in acute and chronic water exposures: Environmental Toxicology and Chemistry, v. 30, no. 9, p. 2115-2125, https://doi.org/10.1002/etc.596.","productDescription":"11 p.","startPage":"2115","endPage":"2125","numberOfPages":"11","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":257021,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-01","publicationStatus":"PW","scienceBaseUri":"505a3b28e4b0c8380cd62295","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":351976,"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":351973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":351977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":351975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":351974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Santore, Robert C.","contributorId":53206,"corporation":false,"usgs":true,"family":"Santore","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":351978,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gorsuch, Joseph W.","contributorId":76975,"corporation":false,"usgs":true,"family":"Gorsuch","given":"Joseph","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":351979,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arnold, W. Ray","contributorId":102721,"corporation":false,"usgs":true,"family":"Arnold","given":"W.","email":"","middleInitial":"Ray","affiliations":[],"preferred":false,"id":351980,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70005572,"text":"70005572 - 2011 - Influence of body condition on influenza A virus infection in mallard ducks: Experimental infection data","interactions":[],"lastModifiedDate":"2023-10-16T19:03:49.696105","indexId":"70005572","displayToPublicDate":"2012-05-21T10:18:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Influence of body condition on influenza A virus infection in mallard ducks: Experimental infection data","docAbstract":"<p>Migrating waterfowl are implicated in the global spread of influenza A viruses (IAVs), and mallards (<i>Anas platyrhynchos</i>) are considered a particularly important IAV reservoir. Prevalence of IAV infection in waterfowl peaks during autumn pre-migration staging and then declines as birds reach wintering areas. Migration is energetically costly and birds often experience declines in body condition that may suppress immune function. We assessed how body condition affects susceptibility to infection, viral shedding and antibody production in wild-caught and captive-bred juvenile mallards challenged with low pathogenic avian influenza virus (LPAIV) H5N9. Wild mallards (n = 30) were separated into three experimental groups; each manipulated through food availability to a different condition level (-20%, -10%, and normal &plusmn;5% original body condition), and captive-bred mallards (n = 10) were maintained at normal condition. We found that wild mallards in normal condition were more susceptible to LPAIV infection, shed higher peak viral loads and shed viral RNA more frequently compared to birds in poor condition. Antibody production did not differ according to condition. We found that wild mallards did not differ from captive-bred mallards in viral intensity and duration of infection, but they did exhibit lower antibody titers and greater variation in viral load. Our findings suggest that reduced body condition negatively influences waterfowl host competence to LPAIV infection. This observation is contradictory to the recently proposed condition-dependent hypothesis, according to which birds in reduced condition would be more susceptible to IAV infection. The mechanisms responsible for reducing host competency among birds in poor condition remain unknown. Our research indicates body condition may influence the maintenance and spread of LPAIV by migrating waterfowl.</p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0022633","usgsCitation":"Arsnoe, D.M., Ip, S., and Owen, J.C., 2011, Influence of body condition on influenza A virus infection in mallard ducks: Experimental infection data: PLoS ONE, v. 6, no. 8, e22633, 9 p., https://doi.org/10.1371/journal.pone.0022633.","productDescription":"e22633, 9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026665","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":474737,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0022633","text":"Publisher Index Page"},{"id":257016,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Lower Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.94580078125,\n              41.73852846935917\n            ],\n            [\n              -83.353271484375,\n              41.65649719441145\n            ],\n            [\n              -83.067626953125,\n              42.2366518803206\n            ],\n            [\n              -82.55126953124999,\n              42.593532625649935\n            ],\n            [\n              -82.529296875,\n              44.134913443750726\n            ],\n            [\n              -83.14453125,\n              44.24519901522129\n            ],\n            [\n              -83.232421875,\n              45.44471679159555\n            ],\n            [\n              -84.3310546875,\n              45.81348649679971\n            ],\n            [\n              -85.0341796875,\n              45.82879925192134\n            ],\n            [\n              -85.49560546875,\n              45.36758436884978\n            ],\n            [\n              -86.06689453125,\n              45.259422036351694\n            ],\n            [\n              -86.4404296875,\n              44.69989765840318\n            ],\n            [\n              -86.748046875,\n              43.992814500489914\n            ],\n            [\n              -86.5283203125,\n              43.26120612479979\n            ],\n            [\n              -86.396484375,\n              42.50450285299051\n            ],\n            [\n              -86.77001953125,\n              41.96765920367816\n            ],\n            [\n              -86.94580078125,\n              41.73852846935917\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-08-16","publicationStatus":"PW","scienceBaseUri":"505a3b14e4b0c8380cd621ed","contributors":{"authors":[{"text":"Arsnoe, Dustin M.","contributorId":64521,"corporation":false,"usgs":true,"family":"Arsnoe","given":"Dustin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":352844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":352843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Owen, Jennifer C.","contributorId":74255,"corporation":false,"usgs":true,"family":"Owen","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":352845,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007273,"text":"70007273 - 2011 - Impacts of climate change on the growing season in the United States","interactions":[],"lastModifiedDate":"2012-05-30T01:01:38","indexId":"70007273","displayToPublicDate":"2012-05-21T09:17:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of climate change on the growing season in the United States","docAbstract":"Understanding the effects of climate change on the vegetative growing season is key to quantifying future hydrologic water budget conditions. The U.S. Geological Survey modeled changes in future growing season length at 14 basins across 11 states. Simulations for each basin were generated using five general circulation models with three emission scenarios as inputs to the Precipitation-Runoff Modeling System (PRMS). PRMS is a deterministic, distributed-parameter, watershed model developed to simulate the effects of various combinations of precipitation, climate, and land use on watershed response. PRMS was modified to include a growing season calculation in this study. The growing season was examined for trends in the total length (annual), as well as changes in the timing of onset (spring) and the end (fall) of the growing season. The results showed an increase in the annual growing season length in all 14 basins, averaging 27&ndash;47 days for the three emission scenarios. The change in the spring and fall growing season onset and end varied across the 14 basins, with larger increases in the total length of the growing season occurring in the mountainous regions and smaller increases occurring in the Midwest, Northeast, and Southeast regions. The Clear Creek basin, 1 of the 14 basins in this study, was evaluated to examine the growing season length determined by emission scenario, as compared to a growing season length fixed baseline condition. The Clear Creek basin showed substantial variation in hydrologic responses, including streamflow, as a result of growing season length determined by emission scenario.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Interactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/2011EI376.1","usgsCitation":"Markstrom, S., and Hay, L.E., 2011, Impacts of climate change on the growing season in the United States: Earth Interactions, v. 15, p. 1-17, https://doi.org/10.1175/2011EI376.1.","productDescription":"17 p.","startPage":"1","endPage":"17","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":474739,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2011ei376.1","text":"Publisher Index Page"},{"id":257007,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":256997,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1175/2011EI376.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"15","noUsgsAuthors":false,"publicationDate":"2011-12-31","publicationStatus":"PW","scienceBaseUri":"505a38e7e4b0c8380cd61720","contributors":{"authors":[{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":356209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":356208,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005678,"text":"70005678 - 2011 - Evaluation of the horizontal-to-vertical spectral ratio (HVSR) seismic method to determine sediment thickness in the vicinity of the South Well Field, Franklin County, OH","interactions":[],"lastModifiedDate":"2013-03-17T16:16:00","indexId":"70005678","displayToPublicDate":"2012-05-20T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2938,"text":"Ohio Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the horizontal-to-vertical spectral ratio (HVSR) seismic method to determine sediment thickness in the vicinity of the South Well Field, Franklin County, OH","docAbstract":"The horizontal-to-vertical spectral ratio (HVSR) seismic method involves analyzing measurements of ambient seismic noise in three dimensions to determine the fundamental site resonance frequency. Resonance is excited by the interaction of surface waves (Rayleigh and Love) and body waves (vertically incident shear) with the high-contrast aconstic impedance boundary at the bedrock-sediment interface. Measurements were made to determine the method's utility for estimating thickness of unconsolidated glacial sediments at 18 locations at the South Well Field, Franklin County, OH, and at six locations in Pickaway County where sediment thickness was already known. Measurements also were made near a high-capacity production well (with pumping on and off) and near a highway and a limestone quarry to examine changes in resonance frequencies over a 20-hour period. Although the regression relation for resonance frequency and sediment thickness had a relatively low [r.sup.2] (0.322), estimates of sediment thickness were, on average, within 14 percent of known thicknesses. Resonance frequencies for pumping on and pumping off were identical, although the amplitude of the peak was nearly double under pumping conditions. Resonance frequency for the 20-hour period did not change, but the amplitude of the peak changed considerably, with a maximum amplitude in the early afternoon and minimum in the very early morning hours. Clay layers within unconsolidated sediments may influence resonance frequency and the resulting regression equation, resulting in underestimation of sediment thickness; however, despite this and other complicating factors, hydrogeologists should consider this method when thickness data are needed for unconsolidated sediments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ohio Journal of Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ohio Academy of Science","publisherLocation":"Reston, VA","usgsCitation":"Haefner, R.J., Sheets, R., and Andrews, R.E., 2011, Evaluation of the horizontal-to-vertical spectral ratio (HVSR) seismic method to determine sediment thickness in the vicinity of the South Well Field, Franklin County, OH: Ohio Journal of Science, v. 110, no. 4, p. 77-85.","productDescription":"9 p.","startPage":"77","endPage":"85","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":256992,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269504,"type":{"id":11,"text":"Document"},"url":"https://hdl.handle.net/1811/52793"}],"country":"United States","state":"Ohio","county":"Franklin","volume":"110","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0ce8e4b0c8380cd52d42","contributors":{"authors":[{"text":"Haefner, Ralph J. 0000-0002-4363-9010 rhaefner@usgs.gov","orcid":"https://orcid.org/0000-0002-4363-9010","contributorId":1793,"corporation":false,"usgs":true,"family":"Haefner","given":"Ralph","email":"rhaefner@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheets, Rodney A. rasheets@usgs.gov","contributorId":1848,"corporation":false,"usgs":true,"family":"Sheets","given":"Rodney A.","email":"rasheets@usgs.gov","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, Robert E.","contributorId":103126,"corporation":false,"usgs":true,"family":"Andrews","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":353059,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038359,"text":"ds613 - 2011 - Concentrations and loads of nutrients in the tributaries of the Lake Okeechobee watershed, south-central Florida, water years 2004-2008","interactions":[],"lastModifiedDate":"2012-05-15T01:01:40","indexId":"ds613","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2011","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":"613","title":"Concentrations and loads of nutrients in the tributaries of the Lake Okeechobee watershed, south-central Florida, water years 2004-2008","docAbstract":"Lake Okeechobee in south-central Florida is the second largest freshwater lake in the contiguous United States. Excessive phosphorus loading, harmful high and low water levels, and rapid expansion of non-native vegetation have threatened the health of the lake in recent decades. A study was conducted to monitor discharge and nutrient concentrations from selected tributaries into Lake Okeechobee and to evaluate nutrient loads. The data analysis was performed at 16 monitoring stations from December 2003 to September 2008. Annual and seasonal discharge measured at monitoring stations is affected by rainfall. Hurricanes affected three wet years (2004, 2005, and the latter part of 2008) and resulted in substantially greater discharge than the drought years of 2006, 2007, and the early part of 2008. Rainfall supplies about 50 percent of the water to Lake Okeechobee, discharge from the Kissimmee River supplies about 25 percent, and discharge from tributaries and groundwater seepage along the lake perimeter collectively provide the remaining 25 percent. Annually, tributary discharge from basins located on the west side of the Kissimmee River is about 5 to 6 times greater than that from basins located on the east side. For the purposes of this study, the basins on the east side of the Kissimmee River are called \"priority basins\" because of elevated phosphorus concentrations, while those on the west side are called \"nonpriority\" basins. Total annual discharge in the non-priority basins ranged from 245,000 acre-feet (acre-ft) in 2007 to 1,322,000 acre-ft in 2005, while annual discharge from the priority basins ranged from 41,000 acre-ft in 2007 to 219,000 acre-ft in 2005. Mean total phosphorus concentrations ranged from 0.10 to 0.54 milligrams per liter (mg/L) at the 16 tributaries during 2004&ndash;2008. Mean concentrations were significantly higher at priority basin sites than at non-priority basin sites, particularly at Arbuckle Creek and C 41A Canal. Concentrations of organic nitrogen plus ammonia ranged from 1.27 to 2.96 mg/L at the 16 tributaries during 2004&ndash;2008. Mean concentrations were highest at Fisheating Creek at Lake Placid (a non-priority site), and lowest at Wolff Creek, Taylor Creek near Grassy Island, and Otter Creek (three priority basin sites), and at Arbuckle Creek (a non-priority basin site). Mean concentrations of nitrite plus nitrate ranged from 0.01 to 0.55 mg/L at the 16 tributaries during 2004&ndash;2008. Mean concentrations measured in priority basins were significantly higher than those measured in non-priority basins. Nutrient concentrations were substantially lower in the non-priority basins; however, total loads were substantially higher due to discharge that was 5 to 6 times greater than from the priority basins. Total phosphorus, organic nitrogen plus ammonia, and nitrite plus nitrate loads from the non-priority basins were 1.5, 4.5, and 3.5 times greater, respectively, than were loads from the priority basins. In the non-priority basins, total phosphorus loads ranged from 35 metric tons (MT) in 2007 to 247 MT in 2005. In the priority basins, the loads ranged from 18 MT in 2007 to 136 MT in 2005. In the non-priority basins, organic nitrogen plus ammonia loads ranged from 337 MT in 2007 to 2,817 MT in 2005. In the priority basins, organic nitrogen plus ammonia loads ranged from 85 MT in 2007 to 503 MT in 2005. In the non-priority basins, nitrite plus nitrate loads ranged from 34 MT in 2007 to 143 MT in 2005. In the priority basins, nitrite plus nitrate loads ranged from 4 MT in 2007 to 27 MT in 2005.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds613","collaboration":"Prepared in cooperation with U.S. Army Corps of Engineers, South Florida Water Management District, and Florida Department of Agriculture and Consumer Services","usgsCitation":"Byrne, M., and Wood, M.S., 2011, Concentrations and loads of nutrients in the tributaries of the Lake Okeechobee watershed, south-central Florida, water years 2004-2008: U.S. Geological Survey Data Series 613, v, 22 p., https://doi.org/10.3133/ds613.","productDescription":"v, 22 p.","startPage":"i","endPage":"22","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2003-12-01","temporalEnd":"2008-09-30","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":254771,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_613.jpg"},{"id":254761,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/613/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Lake Okeechobee Watershed","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f988e4b0c8380cd4d665","contributors":{"authors":[{"text":"Byrne, Michael J.","contributorId":8550,"corporation":false,"usgs":true,"family":"Byrne","given":"Michael J.","affiliations":[],"preferred":false,"id":463960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":463959,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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