{"pageNumber":"444","pageRowStart":"11075","pageSize":"25","recordCount":69062,"records":[{"id":70175540,"text":"70175540 - 2016 - Detection and quantification of hydrocarbons in sediments","interactions":[],"lastModifiedDate":"2017-02-15T15:25:01","indexId":"70175540","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Detection and quantification of hydrocarbons in sediments","docAbstract":"<p><span>A new technology developed by the US Geological Survey now allows for fast, direct detection of hydrocarbon plumes both in rivers and drifting in the deep ocean. Recent experiments show that the method can also detect and quantify hydrocarbons buried in river sediments and estuaries. This approach uses a variant of induced polarization, a surface-sensitive physical property of certain polarizable materials immersed in an electrolyte that can accept and adsorb charge under an inducing voltage. Known polarizable materials include most sulfides, ilmenite (FeTiO</span><sub>3</sub><span>), metallic objects such as buried wrecks and pipelines, and now hydrocarbons. The hydrocarbon-in-water response to induced polarization is in fact nearly two orders of magnitude greater than the IP response of any of the hard minerals. The oil:water detection limit for hydrocarbons so far is down to 0.0002% in the laboratory.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"OCEANS 2016 MTS/IEEE Monterey","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"IEEE","doi":"10.1109/OCEANS.2016.7761416","usgsCitation":"Wynn, J., Williamson, M., and Frank, J., 2016, Detection and quantification of hydrocarbons in sediments, <i>in</i> OCEANS 2016 MTS/IEEE Monterey, Conference paper, https://doi.org/10.1109/OCEANS.2016.7761416.","productDescription":"Conference paper","ipdsId":"IP-077815","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":335628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a576cee4b057081a24eda7","contributors":{"authors":[{"text":"Wynn, Jeff 0000-0002-8102-3882 jwynn@usgs.gov","orcid":"https://orcid.org/0000-0002-8102-3882","contributorId":2803,"corporation":false,"usgs":true,"family":"Wynn","given":"Jeff","email":"jwynn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":645584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williamson, Mike","contributorId":146794,"corporation":false,"usgs":false,"family":"Williamson","given":"Mike","email":"","affiliations":[],"preferred":false,"id":645585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frank, Jeff","contributorId":173704,"corporation":false,"usgs":false,"family":"Frank","given":"Jeff","email":"","affiliations":[{"id":27277,"text":"Williamson & Associates","active":true,"usgs":false}],"preferred":false,"id":645586,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186193,"text":"70186193 - 2016 - Hydrogeologic controls on groundwater discharge and nitrogen loads in a coastal watershed","interactions":[],"lastModifiedDate":"2017-03-31T10:50:47","indexId":"70186193","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","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":"Hydrogeologic controls on groundwater discharge and nitrogen loads in a coastal watershed","docAbstract":"<p><span>Submarine groundwater discharge (SGD) is a small portion of the global water budget, but a potentially large contributor to coastal nutrient budgets due to high concentrations relative to stream discharge. A numerical groundwater flow model of the Inland Bays Watershed, Delaware, USA, was developed to identify the primary hydrogeologic factors that affect groundwater discharge rates and transit times to streams and bays. The distribution of groundwater discharge between streams and bays is sensitive to the depth of the water table below land surface. Higher recharge and reduced hydraulic conductivity raised the water table and increased discharge to streams relative to bays compared to the Reference case (in which 66% of recharge is discharged to streams). Increases to either factor decreased transit times for discharge to both streams and bays compared to the Reference case (in which mean transit times are 56.5 and 94.3&nbsp;years, respectively), though sensitivity to recharge is greater. Groundwater-borne nitrogen loads were calculated from nitrogen concentrations measured in discharging fresh groundwater and modeled SGD rates. These loads combined with long SGD transit times suggest groundwater-borne nitrogen reductions and estuarine water quality improvements will lag decades behind implementation of efforts to manage nutrient sources. This work enhances understanding of the hydrogeologic controls on and uncertainties in absolute and relative rates and transit times of groundwater discharge to streams and bays in coastal watersheds.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2016.05.013","usgsCitation":"Russoniello, C.J., Konikow, L.F., Kroeger, K.D., Fernandez, C., Andres, A., and Michael, H.A., 2016, Hydrogeologic controls on groundwater discharge and nitrogen loads in a coastal watershed: Journal of Hydrology, v. 538, p. 783-793, https://doi.org/10.1016/j.jhydrol.2016.05.013.","productDescription":"11 p.","startPage":"783","endPage":"793","ipdsId":"IP-071064","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470791,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/8150","text":"External Repository"},{"id":338942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"538","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58df6ac0e4b02ff32c6aea2f","contributors":{"authors":[{"text":"Russoniello, Chrtopher J.","contributorId":190221,"corporation":false,"usgs":false,"family":"Russoniello","given":"Chrtopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":687831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":687830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":687832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fernandez, Cristina","contributorId":190222,"corporation":false,"usgs":false,"family":"Fernandez","given":"Cristina","email":"","affiliations":[],"preferred":false,"id":687833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andres, A. Scott","contributorId":64750,"corporation":false,"usgs":true,"family":"Andres","given":"A. Scott","affiliations":[],"preferred":false,"id":687834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Michael, Holly A.","contributorId":190224,"corporation":false,"usgs":false,"family":"Michael","given":"Holly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":687835,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70184330,"text":"70184330 - 2016 - Predicting arsenic in drinking water wells of the Central Valley, California","interactions":[],"lastModifiedDate":"2018-09-12T16:43:45","indexId":"70184330","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","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":"Predicting arsenic in drinking water wells of the Central Valley, California","docAbstract":"<p><span>Probabilities of arsenic in groundwater at depths used for domestic and public supply in the Central Valley of California are predicted using weak-learner ensemble models (boosted regression trees, BRT) and more traditional linear models (logistic regression, LR). Both methods captured major processes that affect arsenic concentrations, such as the chemical evolution of groundwater, redox differences, and the influence of aquifer geochemistry. Inferred flow-path length was the most important variable but near-surface-aquifer geochemical data also were significant. A unique feature of this study was that previously predicted nitrate concentrations in three dimensions were themselves predictive of arsenic and indicated an important redox effect at &gt;10 μg/L, indicating low arsenic where nitrate was high. Additionally, a variable representing three-dimensional aquifer texture from the Central Valley Hydrologic Model was an important predictor, indicating high arsenic associated with fine-grained aquifer sediment. BRT outperformed LR at the 5 μg/L threshold in all five predictive performance measures and at 10 μg/L in four out of five measures. BRT yielded higher prediction sensitivity (39%) than LR (18%) at the 10 μg/L threshold–a useful outcome because a major objective of the modeling was to improve our ability to predict high arsenic areas.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b01914","usgsCitation":"Ayotte, J.D., Nolan, B.T., and Gronberg, J.M., 2016, Predicting arsenic in drinking water wells of the Central Valley, California: Environmental Science & Technology, v. 50, no. 14, p. 7555-7563, https://doi.org/10.1021/acs.est.6b01914.","productDescription":"9 p.","startPage":"7555","endPage":"7563","ipdsId":"IP-074943","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":336970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","volume":"50","issue":"14","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-11","publicationStatus":"PW","scienceBaseUri":"58bfd4f6e4b014cc3a3ba4c8","contributors":{"authors":[{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":681021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nolan, Bernard T. 0000-0002-6945-9659 btnolan@usgs.gov","orcid":"https://orcid.org/0000-0002-6945-9659","contributorId":2190,"corporation":false,"usgs":true,"family":"Nolan","given":"Bernard","email":"btnolan@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":681022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gronberg, JoAnn M. 0000-0003-4822-7434 jmgronbe@usgs.gov","orcid":"https://orcid.org/0000-0003-4822-7434","contributorId":3548,"corporation":false,"usgs":true,"family":"Gronberg","given":"JoAnn","email":"jmgronbe@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":681023,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179717,"text":"70179717 - 2016 - Potential carbon emissions dominated by carbon dioxide from thawed permafrost soils","interactions":[],"lastModifiedDate":"2017-01-13T10:24:48","indexId":"70179717","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Potential carbon emissions dominated by carbon dioxide from thawed permafrost soils","docAbstract":"<p><span>Increasing temperatures in northern high latitudes are causing permafrost to thaw</span><span>, making large amounts of previously frozen organic matter vulnerable to microbial decomposition</span><span>. Permafrost thaw also creates a fragmented landscape of drier and wetter soil conditions</span><span>&nbsp;that determine the amount and form (carbon dioxide (CO</span><sub>2</sub><span>), or methane (CH</span><sub>4</sub><span>)) of carbon&nbsp;(C) released to the atmosphere. The rate and form of C release control the magnitude of the permafrost C feedback, so their relative contribution with a warming climate remains unclear</span><span>. We quantified the effect of increasing temperature and changes from aerobic to anaerobic soil conditions using 25 soil incubation studies from the permafrost zone. Here we show, using two separate meta-analyses, that a 10</span><span class=\"mb\"><span class=\"mb\"> </span></span><span>°C increase in incubation temperature increased C release by a factor of 2.0 (95% confidence interval (CI), 1.8 to 2.2). Under aerobic incubation conditions, soils released 3.4 (95%&nbsp;CI, 2.2 to 5.2) times more C than under anaerobic conditions. Even when accounting for the higher heat trapping capacity of CH</span><sub>4</sub><span>, soils released 2.3 (95% CI, 1.5 to 3.4) times more C under aerobic conditions. These results imply that permafrost ecosystems thawing under aerobic conditions and releasing CO</span><sub>2</sub><span> will strengthen the permafrost C feedback more than waterlogged systems releasing CO</span><sub>2</sub><span> and CH</span><sub>4</sub><span> for a given amount of C.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/nclimate3054","usgsCitation":"Schädel, C., Bader, M.K., Schuur, E.A., Biasi, C., Bracho, R., Capek, P., De Baets, S., Diakova, K., Ernakovich, J., Estop-Aragones, C., Graham, D.E., Hartley, I.P., Iversen, C.M., Kane, E.S., Knoblauch, C., Lupascu, M., Martikainen, P.J., Natali, S.M., Norby, R.J., O’Donnell, J.A., Roy Chowdhury, T., Santruckova, H., Shaver, G., Sloan, V.L., Treat, C.C., Turetsky, M.R., Waldrop, M.P., and Wickland, K.P., 2016, Potential carbon emissions dominated by carbon dioxide from thawed permafrost soils: Nature Climate Change, v. 6, p. 950-953, https://doi.org/10.1038/nclimate3054.","productDescription":"4 p.","startPage":"950","endPage":"953","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470794,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1336567","text":"External Repository"},{"id":333177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2016-06-13","publicationStatus":"PW","scienceBaseUri":"5879f5aae4b0847d353f44c0","contributors":{"authors":[{"text":"Schädel, Christina","contributorId":178287,"corporation":false,"usgs":false,"family":"Schädel","given":"Christina","affiliations":[],"preferred":false,"id":658390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bader, Martin K.-F.","contributorId":176589,"corporation":false,"usgs":false,"family":"Bader","given":"Martin","email":"","middleInitial":"K.-F.","affiliations":[],"preferred":false,"id":658391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuur, Edward A.G.","contributorId":50026,"corporation":false,"usgs":true,"family":"Schuur","given":"Edward","email":"","middleInitial":"A.G.","affiliations":[],"preferred":false,"id":658392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biasi, Christina","contributorId":178288,"corporation":false,"usgs":false,"family":"Biasi","given":"Christina","email":"","affiliations":[],"preferred":false,"id":658393,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bracho, Rosvel","contributorId":178289,"corporation":false,"usgs":false,"family":"Bracho","given":"Rosvel","email":"","affiliations":[],"preferred":false,"id":658394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Capek, Petr","contributorId":178290,"corporation":false,"usgs":false,"family":"Capek","given":"Petr","email":"","affiliations":[],"preferred":false,"id":658395,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"De Baets, Sarah","contributorId":178291,"corporation":false,"usgs":false,"family":"De Baets","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":658396,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Diakova, Katerina","contributorId":178292,"corporation":false,"usgs":false,"family":"Diakova","given":"Katerina","email":"","affiliations":[],"preferred":false,"id":658397,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ernakovich, Jessica","contributorId":167833,"corporation":false,"usgs":false,"family":"Ernakovich","given":"Jessica","affiliations":[],"preferred":false,"id":658398,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Estop-Aragones, Cristian","contributorId":178293,"corporation":false,"usgs":false,"family":"Estop-Aragones","given":"Cristian","email":"","affiliations":[],"preferred":false,"id":658399,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Graham, David E.","contributorId":178294,"corporation":false,"usgs":false,"family":"Graham","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":658400,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hartley, Iain P.","contributorId":178295,"corporation":false,"usgs":false,"family":"Hartley","given":"Iain","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":658401,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Iversen, Colleen M.","contributorId":178296,"corporation":false,"usgs":false,"family":"Iversen","given":"Colleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":658402,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kane, Evan S.","contributorId":11903,"corporation":false,"usgs":true,"family":"Kane","given":"Evan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":658403,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Knoblauch, Christian","contributorId":178297,"corporation":false,"usgs":false,"family":"Knoblauch","given":"Christian","email":"","affiliations":[],"preferred":false,"id":658404,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Lupascu, Massimo","contributorId":178298,"corporation":false,"usgs":false,"family":"Lupascu","given":"Massimo","email":"","affiliations":[],"preferred":false,"id":658405,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Martikainen, Pertti 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mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":658416,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","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":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":658417,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}}
,{"id":70184432,"text":"70184432 - 2016 - Anticipated water quality changes in response to climate change and potential consequences for inland fishes","interactions":[],"lastModifiedDate":"2018-02-28T14:35:33","indexId":"70184432","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Anticipated water quality changes in response to climate change and potential consequences for inland fishes","docAbstract":"<p><span>Healthy freshwater ecosystems are a critical component of the world's economy, with a critical role in maintaining public health, inland biological diversity, and overall quality of life. Globally, our climate is changing, with air temperature and precipitation regimes deviating significantly from historical patterns. Healthy freshwater ecosystems are a critical component of the world's economy, with a critical role in maintaining public health, inland biological diversity, and overall quality of life. Globally, our climate is changing, with air temperature and precipitation regimes deviating significantly from historical patterns. Changes anticipated with climate change in the future are likely to have a profound effect on inland aquatic ecosystems through diverse pathways, including changes in water quality. In this brief article, we present an initial discussion of several of the water quality responses that can be anticipated to occur within inland water bodies with climate change and how those changes are likely to impact fishes.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2016.1182509","usgsCitation":"Chen, Y., Todd, A.S., Murphy, M.H., and Lomnicky, G., 2016, Anticipated water quality changes in response to climate change and potential consequences for inland fishes: Fisheries, v. 41, no. 7, p. 413-416, https://doi.org/10.1080/03632415.2016.1182509.","productDescription":"4 p.","startPage":"413","endPage":"416","ipdsId":"IP-072548","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":337172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"58c277dce4b014cc3a3e76d3","contributors":{"authors":[{"text":"Chen, Yushun","contributorId":146569,"corporation":false,"usgs":false,"family":"Chen","given":"Yushun","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":681464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd, Andrew S. atodd@usgs.gov","contributorId":1022,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew","email":"atodd@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":681463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Margaret H.","contributorId":187717,"corporation":false,"usgs":false,"family":"Murphy","given":"Margaret","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":681465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lomnicky, Gregg","contributorId":187718,"corporation":false,"usgs":false,"family":"Lomnicky","given":"Gregg","email":"","affiliations":[],"preferred":false,"id":681466,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70184453,"text":"70184453 - 2016 - Design and testing of a mesocosm-scale habitat for culturing the endangered Devils Hole Pupfish","interactions":[],"lastModifiedDate":"2017-03-09T11:24:19","indexId":"70184453","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Design and testing of a mesocosm-scale habitat for culturing the endangered Devils Hole Pupfish","docAbstract":"<p><span>aptive propagation of desert spring fishes, whether for conservation or research, is often difficult, given the unique and often challenging environments these fish utilize in nature. High temperatures, low dissolved oxygen, minimal water flow, and highly variable lighting are some conditions a researcher might need to recreate to simulate their natural environments. Here we describe a mesocosm-scale habitat created to maintain hybrid Devils Hole × Ash Meadows Amargosa Pupfish (</span><i>Cyprinodon diabolis × C. nevadensis mionectes</i><span>) under conditions similar to those found in Devils Hole, Nevada. This 13,000-L system utilized flow control and natural processes to maintain these conditions rather than utilizing complex and expensive automation. We designed a rotating solar collector to control natural sunlight, a biological reactor to consume oxygen while buffering water quality, and a reverse-daylight photosynthesis sump system to stabilize nighttime pH and swings in dissolved oxygen levels. This system successfully controlled many desired parameters and helped inform development of a larger, more permanent desert fish conservation facility at the U.S. Fish and Wildlife Service’s Ash Meadows National Wildlife Refuge, Nevada. For others who need to raise fish from unique habitats, many components of the scalable and modular design of this system can be adapted at reasonable cost.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15222055.2016.1159626","usgsCitation":"Feuerbacher, O., Bonar, S.A., and Barrett, P.J., 2016, Design and testing of a mesocosm-scale habitat for culturing the endangered Devils Hole Pupfish: North American Journal of Aquaculture, v. 78, no. 3, p. 259-269, https://doi.org/10.1080/15222055.2016.1159626.","productDescription":"11 p.","startPage":"259","endPage":"269","ipdsId":"IP-076020","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-22","publicationStatus":"PW","scienceBaseUri":"58c277dbe4b014cc3a3e76cf","contributors":{"authors":[{"text":"Feuerbacher, Olin","contributorId":187760,"corporation":false,"usgs":false,"family":"Feuerbacher","given":"Olin","affiliations":[],"preferred":false,"id":681593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":681588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrett, Paul J.","contributorId":187761,"corporation":false,"usgs":false,"family":"Barrett","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":681594,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178467,"text":"70178467 - 2016 - Dermocystidium sp. infection in Blue Ridge Sculpin captured in Maryland","interactions":[],"lastModifiedDate":"2018-08-10T10:09:06","indexId":"70178467","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2177,"text":"Journal of Aquatic Animal Health","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<i>Dermocystidium</i> sp. infection in Blue Ridge Sculpin captured in Maryland","title":"Dermocystidium sp. infection in Blue Ridge Sculpin captured in Maryland","docAbstract":"<p><span>Raised pale cysts were observed on Blue Ridge Sculpin </span><i>Cottus caeruleomentum</i><span> during stream fish community surveys in Catoctin Mountain Park, Maryland. When examined histologically, preserved sculpin exhibited multiple cysts containing spherical endospores with a refractile central body characteristic of </span><i>Dermocystidium</i><span>spp. Cysts were not observed on the gills or internally. The portion of the watershed in which affected sculpin were observed contained lower than expected numbers of sculpin, raising concerns about the population effects of this infection. A nearby stream lacked sculpin even though they are common in this region, further suggesting the possibility of regional effects. This is the first report of a </span><i>Dermocystidium</i><span> infecting any fish species in the eastern United States.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/08997659.2016.1159622","usgsCitation":"Blazer, V., Hitt, N.P., Snyder, C.D., Snook, E., and Adams, C.R., 2016, Dermocystidium sp. infection in Blue Ridge Sculpin captured in Maryland: Journal of Aquatic Animal Health, v. 28, no. 3, p. 143-149, https://doi.org/10.1080/08997659.2016.1159622.","productDescription":"7 p.","startPage":"143","endPage":"149","ipdsId":"IP-070196","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":331165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Catoctin Mountain Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.50494003295898,\n              39.619970407119\n            ],\n            [\n              -77.50494003295898,\n              39.692658260020266\n            ],\n            [\n              -77.42254257202148,\n              39.692658260020266\n            ],\n            [\n              -77.42254257202148,\n              39.619970407119\n            ],\n            [\n              -77.50494003295898,\n              39.619970407119\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-25","publicationStatus":"PW","scienceBaseUri":"583415b3e4b0070c0abed826","chorus":{"doi":"10.1080/08997659.2016.1159622","url":"http://dx.doi.org/10.1080/08997659.2016.1159622","publisher":"Informa UK Limited","authors":"Blazer Vicki S., Hitt Nathaniel P., Snyder Craig D., Snook Erin L., Adams Cynthia R.","journalName":"Journal of Aquatic Animal Health","publicationDate":"7/2/2016"},"contributors":{"authors":[{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":654100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":654101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":654102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snook, Erin 0000-0003-4880-3040 esnook@usgs.gov","orcid":"https://orcid.org/0000-0003-4880-3040","contributorId":168439,"corporation":false,"usgs":true,"family":"Snook","given":"Erin","email":"esnook@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":654103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Cynthia R. 0000-0003-4383-530X cradams@usgs.gov","orcid":"https://orcid.org/0000-0003-4383-530X","contributorId":176965,"corporation":false,"usgs":true,"family":"Adams","given":"Cynthia","email":"cradams@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":654104,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70182719,"text":"70182719 - 2016 - Acid mine drainage","interactions":[],"lastModifiedDate":"2017-03-16T14:23:17","indexId":"70182719","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Acid mine drainage","docAbstract":"<p><span>Acid mine drainage (AMD) consists of metal-laden solutions produced by the oxidative dissolution of iron sulfide minerals exposed to air, moisture, and acidophilic microbes during the mining of coal and metal deposits. The pH of AMD is usually in the range of 2–6, but mine-impacted waters at circumneutral pH (5–8) are also common. Mine drainage usually contains elevated concentrations of sulfate, iron, aluminum, and other potentially toxic metals leached from rock that hydrolyze and coprecipitate to form rust-colored encrustations or sediments. When AMD is discharged into surface waters or groundwaters, degradation of water quality, injury to aquatic life, and corrosion or encrustation of engineered structures can occur for substantial distances. Prevention and remediation strategies should consider the biogeochemical complexity of the system, the longevity of AMD pollution, the predictive power of geochemical modeling, and the full range of available field technologies for problem mitigation.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Soil Science, Third Edition","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press Taylor and Francis Group","doi":"10.1081/E-ESS3-120053867","usgsCitation":"Bigham, J.M., and Cravotta, C., 2016, Acid mine drainage, chap. <i>of</i> Encyclopedia of Soil Science, Third Edition, p. 6-10, https://doi.org/10.1081/E-ESS3-120053867.","productDescription":"5 p.","startPage":"6","endPage":"10","ipdsId":"IP-065457","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":337760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba41be4b0849ce97dc74a","contributors":{"authors":[{"text":"Bigham, Jerry M.","contributorId":184052,"corporation":false,"usgs":false,"family":"Bigham","given":"Jerry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":673446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A.  0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":178696,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A. ","email":"cravotta@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":673445,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185026,"text":"70185026 - 2016 -  Discovery of alunite in Cross crater, Terra Sirenum, Mars: Evidence for acidic, sulfurous waters","interactions":[],"lastModifiedDate":"2018-11-14T08:22:27","indexId":"70185026","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":" Discovery of alunite in Cross crater, Terra Sirenum, Mars: Evidence for acidic, sulfurous waters","docAbstract":"<p><span>Cross crater is a 65 km impact crater, located in the Noachian highlands of the Terra Sirenum region of Mars (30°S, 158°W), which hosts aluminum phyllosilicate deposits first detected by the Observatoire pour la Minéralogie, L’Eau, les Glaces et l’Activitié (OMEGA) imaging spectrometer on Mars Express. Using high-resolution data from the Mars Reconnaissance Orbiter, we examine Cross crater’s basin-filling sedimentary deposits. Visible/shortwave infrared (VSWIR) spectra from the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) show absorptions diagnostic of alunite. Combining spectral data with high-resolution images, we map a large (10 km × 5 km) alunite-bearing deposit in southwest Cross crater, widespread kaolin-bearing sediments with variable amounts of alunite that are layered in &lt;10 m scale beds, and silica- and/or montmorillonite-bearing deposits that occupy topographically lower, heavily fractured units. The secondary minerals are found at elevations ranging from 700 to 1550 m, forming a discontinuous ring along the crater wall beneath darker capping materials. The mineralogy inside Cross crater is different from that of the surrounding terrains and other martian basins, where Fe/Mg-phyllosilicates and Ca/Mg-sulfates are commonly found. Alunite in Cross crater indicates acidic, sulfurous waters at the time of its formation. Waters in Cross crater were likely supplied by regionally upwelling groundwaters as well as through an inlet valley from a small adjacent depression to the east, perhaps occasionally forming a lake or series of shallow playa lakes in the closed basin. Like nearby Columbus crater, Cross crater exhibits evidence for acid sulfate alteration, but the alteration in Cross is more extensive/complete. The large but localized occurrence of alunite suggests a localized, high-volume source of acidic waters or vapors, possibly supplied by sulfurous (H</span><sub>2</sub><span>S- and/or SO</span><sub>2</sub><span>-bearing) waters in contact with a magmatic source, upwelling steam or fluids through fracture zones. The unique, highly aluminous nature of the Cross crater deposits relative to other martian acid sulfate deposits indicates acid waters, high water throughput during alteration, atypically glassy and/or felsic materials, or a combination of these conditions.</span></p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2016-5574","usgsCitation":"Ehlmann, B.L., Swayze, G.A., Milliken, R.E., Mustard, J.F., Clark, R.N., Murchie, S.L., Breit, G., Wray, J.J., Gondet, B., Poulet, F., Carter, J., Calvin, W.M., Benzel, W., and Seelos, K.D., 2016,  Discovery of alunite in Cross crater, Terra Sirenum, Mars: Evidence for acidic, sulfurous waters: American Mineralogist, v. 101, no. 7, p. 1527-1542, https://doi.org/10.2138/am-2016-5574.","productDescription":"16 p.","startPage":"1527","endPage":"1542","ipdsId":"IP-069689","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":488402,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2138/am-2016-5574","text":"Publisher Index Page"},{"id":337510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-01","publicationStatus":"PW","scienceBaseUri":"58c90127e4b0849ce97abceb","contributors":{"authors":[{"text":"Ehlmann, Bethany L. 0000-0002-2745-3240","orcid":"https://orcid.org/0000-0002-2745-3240","contributorId":147154,"corporation":false,"usgs":false,"family":"Ehlmann","given":"Bethany","email":"","middleInitial":"L.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":683991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":683990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milliken, Ralph E.","contributorId":189151,"corporation":false,"usgs":false,"family":"Milliken","given":"Ralph","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":683992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mustard, John F.","contributorId":189152,"corporation":false,"usgs":false,"family":"Mustard","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":683994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Roger N. 0000-0002-7021-1220","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":189154,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"","middleInitial":"N.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":683996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murchie, Scott L. 0000-0002-1616-8751","orcid":"https://orcid.org/0000-0002-1616-8751","contributorId":189161,"corporation":false,"usgs":false,"family":"Murchie","given":"Scott","email":"","middleInitial":"L.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":684004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Breit, George N.","contributorId":189153,"corporation":false,"usgs":false,"family":"Breit","given":"George N.","affiliations":[],"preferred":false,"id":683995,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":683993,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gondet, Brigitte","contributorId":189155,"corporation":false,"usgs":false,"family":"Gondet","given":"Brigitte","email":"","affiliations":[],"preferred":false,"id":683997,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Poulet, Francois","contributorId":189156,"corporation":false,"usgs":false,"family":"Poulet","given":"Francois","email":"","affiliations":[],"preferred":false,"id":683998,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carter, John","contributorId":189157,"corporation":false,"usgs":false,"family":"Carter","given":"John","email":"","affiliations":[],"preferred":false,"id":683999,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Calvin, Wendy M. 0000-0002-6097-9586","orcid":"https://orcid.org/0000-0002-6097-9586","contributorId":189159,"corporation":false,"usgs":false,"family":"Calvin","given":"Wendy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684001,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","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":684002,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Seelos, Kimberly D.","contributorId":189160,"corporation":false,"usgs":false,"family":"Seelos","given":"Kimberly","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":684003,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70185035,"text":"70185035 - 2016 - Potential evapotranspiration and continental drying","interactions":[],"lastModifiedDate":"2017-03-14T12:03:53","indexId":"70185035","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Potential evapotranspiration and continental drying","docAbstract":"<p><span>By various measures (drought area</span><span>&nbsp;and intensity</span><span>, climatic aridity index</span><span>, and climatic water deficits</span><span>), some observational analyses have suggested that much of the Earth</span><span class=\"mb\">’</span><span>s land has been drying during recent decades, but such drying seems inconsistent with observations of dryland greening and decreasing pan evaporation</span><span>. ‘Offline</span><span class=\"mb\">’</span><span> analyses of climate-model outputs from anthropogenic climate change (ACC) experiments portend continuation of putative drying through the twenty-first century</span><span>, despite an expected increase in global land precipitation</span><span>. A ubiquitous increase in estimates of potential evapotranspiration (PET), driven by atmospheric warming</span><span>, underlies the drying trends</span><span>, but may be a methodological artefact</span><span>. Here we show that the PET estimator commonly used (the Penman–Monteith PET</span><span>&nbsp;for either an open-water surface</span><span>&nbsp;or a reference crop</span><span>) severely overpredicts the changes in non-water-stressed evapotranspiration computed in the climate models themselves in ACC experiments. This overprediction is partially due to neglect of stomatal conductance reductions commonly induced by increasing atmospheric CO</span><sub>2</sub><span> concentrations in climate models</span><span>. Our findings imply that historical and future tendencies towards continental drying, as characterized by offline-computed runoff, as well as other PET-dependent metrics, may be considerably weaker and less extensive than previously thought.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/nclimate3046","usgsCitation":"Milly, P., and Dunne, K.A., 2016, Potential evapotranspiration and continental drying: Nature Climate Change, v. 6, p. 946-949, https://doi.org/10.1038/nclimate3046.","productDescription":"4 p.","startPage":"946","endPage":"949","ipdsId":"IP-072538","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":337494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-06","publicationStatus":"PW","scienceBaseUri":"58c90127e4b0849ce97abce9","contributors":{"authors":[{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":684027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunne, Krista A. kadunne@usgs.gov","contributorId":3936,"corporation":false,"usgs":true,"family":"Dunne","given":"Krista","email":"kadunne@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":684028,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178121,"text":"70178121 - 2016 - Community fisheries in eastern South Dakota: Angler demographics, use, and factors influencing satisfaction","interactions":[],"lastModifiedDate":"2016-11-03T11:28:03","indexId":"70178121","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Community fisheries in eastern South Dakota: Angler demographics, use, and factors influencing satisfaction","docAbstract":"<p><span>We surveyed anglers on five community fishing lakes near Brookings, South Dakota to assess angler use and satisfaction. The community lakes attracted younger anglers when compared to statewide and national averages. Overall, satisfaction was generally high (74%) among anglers fishing community lakes. Logistic regression analysis showed that harvest rate, anglers targeting trout, familiarity with the lake, adults fishing with children, and fishing during open water periods were significantly related to angler satisfaction. Angler parties consisting of adults fishing with children were 1.7 times more likely to respond as “satisfied” compared with adults-only angler groups. Fishing opportunities provided by community lakes can enhance participation by younger anglers while simultaneously providing family-oriented recreation (i.e., adults fishing with children) that enhances trip satisfaction.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2016.1138346","usgsCitation":"Greiner, M.J., Lucchesi, D.O., Chipps, S.R., and Gigliotti, L.M., 2016, Community fisheries in eastern South Dakota: Angler demographics, use, and factors influencing satisfaction: Human Dimensions of Wildlife, v. 21, no. 3, p. 254-263, https://doi.org/10.1080/10871209.2016.1138346.","productDescription":"10 p.","startPage":"254","endPage":"263","ipdsId":"IP-069172","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":330689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-02","publicationStatus":"PW","scienceBaseUri":"581c4cc3e4b09688d6e90fb3","contributors":{"authors":[{"text":"Greiner, Michael J.","contributorId":176628,"corporation":false,"usgs":false,"family":"Greiner","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":652890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucchesi, David O.","contributorId":176629,"corporation":false,"usgs":false,"family":"Lucchesi","given":"David","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":652891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":652892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":652864,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179078,"text":"70179078 - 2016 - Contrasts between channels and backwaters in a large, floodplain river: Testing our understanding of nutrient cycling, phytoplankton abundance, and suspended solids dynamics","interactions":[],"lastModifiedDate":"2016-12-15T15:24:40","indexId":"70179078","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Contrasts between channels and backwaters in a large, floodplain river: Testing our understanding of nutrient cycling, phytoplankton abundance, and suspended solids dynamics","docAbstract":"<p><span>In floodplain rivers, variability in hydraulic connectivity interacts with biogeochemistry to determine the distribution of suspended and dissolved substances. Nutrient, chlorophyll </span><i>a</i><span>, and suspended solids data spanning longitudinal (5 study reaches across 1300 river km), lateral (main channel and backwaters), and temporal (1994–2011) gradients in the Upper Mississippi River (UMR) were used to examine the extent to which observed differences between the main channel and backwaters were consistent with expectations based on current understanding of biogeochemical processes in large rivers. For N and P, the results largely conformed to expectations. N concentrations were greater in the main channel than in the backwaters in 82 to 96% of the observations across river reaches. Maximum TP concentrations generally occurred in backwaters during summer, when backwater TP often exceeded that of the main channel. Flux of P from sediments may be a substantial source of water-column P in UMR backwaters in summer. The data for suspended solids and chlorophyll </span><i>a</i><span> suggest that some refinements are needed of our understanding of ecosystem processes in large rivers. During low-discharge conditions, concentrations of inorganic suspended solids often were greater in backwaters than in the main channel, suggesting the importance of sediment resuspension. Chlorophyll </span><i>a</i><span> concentrations were usually greater in backwaters than in the main channel, but exceptions indicate that phytoplankton abundance in the main channel of the UMR can sometimes be greater than is typically expected for large rivers.</span></p>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/686171","usgsCitation":"Houser, J.N., 2016, Contrasts between channels and backwaters in a large, floodplain river: Testing our understanding of nutrient cycling, phytoplankton abundance, and suspended solids dynamics: Freshwater Science, v. 35, no. 2, p. 457-473, https://doi.org/10.1086/686171.","productDescription":"17 p.","startPage":"457","endPage":"473","ipdsId":"IP-066890","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":332189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5853ba41e4b0e2663625f2be","contributors":{"authors":[{"text":"Houser, Jeffrey N. 0000-0003-3295-3132 jhouser@usgs.gov","orcid":"https://orcid.org/0000-0003-3295-3132","contributorId":2769,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey","email":"jhouser@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655949,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70178837,"text":"70178837 - 2016 - National Park Service Vegetation Mapping Inventory Program: Natchez Trace Parkway vegetation mapping project report","interactions":[],"lastModifiedDate":"2017-04-17T15:22:29","indexId":"70178837","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/GULN/NRR—2016/1255","title":"National Park Service Vegetation Mapping Inventory Program: Natchez Trace Parkway vegetation mapping project report","docAbstract":"<p><span>The National Park Service (NPS) Vegetation Mapping Inventory (VMI) Program is an effort to classify, describe, and map existing vegetation of national park units for the NPS Natural Resource Inventory and Monitoring (I&amp;M) Program. The NPS VMI Program is managed by the NPS I&amp;M Division and provides baseline vegetation information to the NPS Natural Resource I&amp;M Program. The U.S. Geological Survey Upper Midwest Environmental Sciences Center, NatureServe, NPS Gulf Coast Network, and NPS Natchez Trace Parkway (NATR; also referred to as Parkway) have completed vegetation classification and mapping of NATR for the NPS VMI Program.</span><br><br><span>Mappers, ecologists, and botanists collaborated to affirm vegetation types within the U.S. National Vegetation Classification (USNVC) of NATR and to determine how best to map them by using aerial imagery. Analyses of data from 589 vegetation plots had been used to describe an initial 99 USNVC associations in the Parkway; this classification work was completed prior to beginning this NATR vegetation mapping project. Data were collected during this project from another eight quick plots to support new vegetation types not previously identified at the Parkway. Data from 120 verification sites were collected to test the field key to vegetation associations and the application of vegetation associations to a sample set of map polygons. Furthermore, data from 900 accuracy assessment (AA) sites were collected (of which 894 were used to test accuracy of the vegetation map layer). The collective of all these datasets resulted in affirming 122 USNVC associations at NATR.</span><br><br><span>To map the vegetation and open water of NATR, 63 map classes were developed. including the following: 54 map classes represent natural (including ruderal) vegetation types in the USNVC, 5 map classes represent cultural (agricultural and developed) vegetation types in the USNVC, 3 map classes represent nonvegetation open-water bodies (non-USNVC), and 1 map class represents landscapes that had received tornado damage a few months prior to the time of aerial imagery collection. Features were interpreted from viewing 4-band digital aerial imagery by means of digital onscreen three-dimensional stereoscopic workflow systems in geographic information systems. (The aerial imagery was collected during mid-October 2011 for the northern reach of the Parkway and mid-November 2011 for the southern reach of the Parkway to capture peak leaf-phenology of trees.) The interpreted data were digitally and spatially referenced, thus making the spatial-database layers usable in geographic information systems. Polygon units were mapped to either a 0.5 hectare (ha) or 0.25 ha minimum mapping unit, depending on vegetation type or scenario.</span><br><br><span>A geodatabase containing various feature-class layers and tables present the locations of USNVC vegetation types (vegetation map), vegetation plot samples, verification sites, AA sites, project boundary extent, and aerial image centers. The feature-class layer and related tables for the vegetation map provide 13,529 polygons of detailed attribute data covering 21,655.5 ha, with an average polygon size of 1.6 ha; the vegetation map coincides closely with the administrative boundary for NATR.</span><br><br><span>Summary reports generated from the vegetation map layer of the map classes representing USNVC natural (including ruderal) vegetation types apply to 12,648 polygons (93.5% of polygons) and cover 18,542.7 ha (85.6%) of the map extent for NATR. The map layer indicates the Parkway to be 70.5% forest and woodland (15,258.7 ha), 0.3% shrubland (63.0 ha), and 14.9% herbaceous cover (3,221.0 ha). Map classes representing USNVC cultural types apply to 678 polygons (5.0% of polygons) and cover 2,413.9 ha (11.1%) of the map extent.</span></p>","language":"English","publisher":"National Park Service","usgsCitation":"Hop, K.D., Strassman, A.C., Nordman, C., Pyne, M., White, R., Jakusz, J., Hoy, E.E., and Dieck, J., 2016, National Park Service Vegetation Mapping Inventory Program: Natchez Trace Parkway vegetation mapping project report: Natural Resource Report NPS/GULN/NRR—2016/1255, xv, 93 p.","productDescription":"xv, 93 p.","numberOfPages":"632","ipdsId":"IP-074937","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":339823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339821,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2230765"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f5d43ee4b0f2e20545e409","contributors":{"authors":[{"text":"Hop, Kevin D. 0000-0002-9928-4773 khop@usgs.gov","orcid":"https://orcid.org/0000-0002-9928-4773","contributorId":1438,"corporation":false,"usgs":true,"family":"Hop","given":"Kevin","email":"khop@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":691286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strassman, Andrew C. 0000-0002-9792-7181 astrassman@usgs.gov","orcid":"https://orcid.org/0000-0002-9792-7181","contributorId":4575,"corporation":false,"usgs":true,"family":"Strassman","given":"Andrew","email":"astrassman@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":691287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nordman, Carl","contributorId":172835,"corporation":false,"usgs":false,"family":"Nordman","given":"Carl","email":"","affiliations":[],"preferred":false,"id":691288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pyne, Milo","contributorId":26378,"corporation":false,"usgs":true,"family":"Pyne","given":"Milo","affiliations":[],"preferred":false,"id":691289,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Rickie","contributorId":100921,"corporation":false,"usgs":true,"family":"White","given":"Rickie","affiliations":[],"preferred":false,"id":691290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jakusz, Joseph jjakusz@usgs.gov","contributorId":149760,"corporation":false,"usgs":true,"family":"Jakusz","given":"Joseph","email":"jjakusz@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":691291,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoy, Erin E. 0000-0002-2853-3242 ehoy@usgs.gov","orcid":"https://orcid.org/0000-0002-2853-3242","contributorId":4523,"corporation":false,"usgs":true,"family":"Hoy","given":"Erin","email":"ehoy@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":691292,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dieck, Jennifer 0000-0002-4388-4534 jdieck@usgs.gov","orcid":"https://orcid.org/0000-0002-4388-4534","contributorId":149647,"corporation":false,"usgs":true,"family":"Dieck","given":"Jennifer","email":"jdieck@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":691293,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70186328,"text":"70186328 - 2016 - Actively heated high-resolution fiber-optic-distributed temperature sensing to quantify streambed flow dynamics in zones of strong groundwater upwelling","interactions":[],"lastModifiedDate":"2018-08-07T12:45:11","indexId":"70186328","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Actively heated high-resolution fiber-optic-distributed temperature sensing to quantify streambed flow dynamics in zones of strong groundwater upwelling","docAbstract":"<p><span>Zones of strong groundwater upwelling to streams enhance thermal stability and moderate thermal extremes, which is particularly important to aquatic ecosystems in a warming climate. Passive thermal tracer methods used to quantify vertical upwelling rates rely on downward conduction of surface temperature signals. However, moderate to high groundwater flux rates (&gt;−1.5 m d</span><sup>−1</sup><span>) restrict downward propagation of diurnal temperature signals, and therefore the applicability of several passive thermal methods. Active streambed heating from within high-resolution fiber-optic temperature sensors (A-HRTS) has the potential to define multidimensional fluid-flux patterns below the extinction depth of surface thermal signals, allowing better quantification and separation of local and regional groundwater discharge. To demonstrate this concept, nine A-HRTS were emplaced vertically into the streambed in a grid with ∼0.40 m lateral spacing at a stream with strong upward vertical flux in Mashpee, Massachusetts, USA. Long-term (8–9 h) heating events were performed to confirm the dominance of vertical flow to the 0.6 m depth, well below the extinction of ambient diurnal signals. To quantify vertical flux, short-term heating events (28 min) were performed at each A-HRTS, and heat-pulse decay over vertical profiles was numerically modeled in radial two dimension (2-D) using SUTRA. Modeled flux values are similar to those obtained with seepage meters, Darcy methods, and analytical modeling of shallow diurnal signals. We also observed repeatable differential heating patterns along the length of vertically oriented sensors that may indicate sediment layering and hyporheic exchange superimposed on regional groundwater discharge.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2015WR018219","usgsCitation":"Briggs, M.A., Buckley, S.F., Bagtzoglou, A.C., Werkema, D.D., and Lane, J.W., 2016, Actively heated high-resolution fiber-optic-distributed temperature sensing to quantify streambed flow dynamics in zones of strong groundwater upwelling: Water Resources Research, v. 52, no. 7, p. 5179-5194, https://doi.org/10.1002/2015WR018219.","productDescription":"16 p.","startPage":"5179","endPage":"5194","ipdsId":"IP-074563","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":470792,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr018219","text":"Publisher Index Page"},{"id":339121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-02","publicationStatus":"PW","scienceBaseUri":"58e4b0b2e4b09da679997794","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":688338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buckley, Sean F. sbuckley@usgs.gov","contributorId":3910,"corporation":false,"usgs":true,"family":"Buckley","given":"Sean","email":"sbuckley@usgs.gov","middleInitial":"F.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":688339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bagtzoglou, Amvrossios C.","contributorId":190400,"corporation":false,"usgs":false,"family":"Bagtzoglou","given":"Amvrossios","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":688340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Werkema, Dale D.","contributorId":190401,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":688341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":688342,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70186192,"text":"70186192 - 2016 - NGWA workshop on “Making Groundwater Sustainable”","interactions":[],"lastModifiedDate":"2017-07-26T14:23:58","indexId":"70186192","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5470,"text":"Sustainable Water Resources Management","active":true,"publicationSubtype":{"id":10}},"title":"NGWA workshop on “Making Groundwater Sustainable”","docAbstract":"<p>No abstract available.<br></p>","language":"English","publisher":"Springer","doi":"10.1007/s40899-016-0060-9","usgsCitation":"Konikow, L.F., 2016, NGWA workshop on “Making Groundwater Sustainable”: Sustainable Water Resources Management, v. 2, no. 2, p. 119-120, https://doi.org/10.1007/s40899-016-0060-9.","productDescription":"2 p.","startPage":"119","endPage":"120","ipdsId":"IP-074073","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s40899-016-0060-9","text":"Publisher Index Page"},{"id":338939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-18","publicationStatus":"PW","scienceBaseUri":"58df6ac1e4b02ff32c6aea31","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":687829,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70180261,"text":"70180261 - 2016 - Bayesian nitrate source apportionment to individual groundwater wells in the Central Valley by use of elemental and isotopic tracers","interactions":[],"lastModifiedDate":"2018-08-07T12:34:01","indexId":"70180261","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian nitrate source apportionment to individual groundwater wells in the Central Valley by use of elemental and isotopic tracers","docAbstract":"<p><span>Groundwater quality is a concern in alluvial aquifers that underlie agricultural areas, such as in the San Joaquin Valley of California. Shallow domestic wells (less than 150 m deep) in agricultural areas are often contaminated by nitrate. Agricultural and rural nitrate sources include dairy manure, synthetic fertilizers, and septic waste. Knowledge of the relative proportion that each of these sources contributes to nitrate concentration in individual wells can aid future regulatory and land management decisions. We show that nitrogen and oxygen isotopes of nitrate, boron isotopes, and iodine concentrations are a useful, novel combination of groundwater tracers to differentiate between manure, fertilizers, septic waste, and natural sources of nitrate. Furthermore, in this work, we develop a new Bayesian mixing model in which these isotopic and elemental tracers were used to estimate the probability distribution of the fractional contributions of manure, fertilizers, septic waste, and natural sources to the nitrate concentration found in an individual well. The approach was applied to 56 nitrate-impacted private domestic wells located in the San Joaquin Valley. Model analysis found that some domestic wells were clearly dominated by the manure source and suggests evidence for majority contributions from either the septic or fertilizer source for other wells. But, predictions of fractional contributions for septic and fertilizer sources were often of similar magnitude, perhaps because modeled uncertainty about the fraction of each was large. For validation of the Bayesian model, fractional estimates were compared to surrounding land use and estimated source contributions were broadly consistent with nearby land use types.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2015WR018523","usgsCitation":"Ransom, K.M., Grote, M.N., Deinhart, A., Eppich, G., Kendall, C., Sanborn, M.E., Sounders, A.K., Wimpenny, J., Yin, Q., Young, M.B., and Harter, T., 2016, Bayesian nitrate source apportionment to individual groundwater wells in the Central Valley by use of elemental and isotopic tracers: Water Resources Research, v. 52, no. 7, p. 5577-5597, https://doi.org/10.1002/2015WR018523.","productDescription":"21 p.","startPage":"5577","endPage":"5597","ipdsId":"IP-076967","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":470785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr018523","text":"Publisher Index Page"},{"id":334055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.52001953124999,\n              38.03078569382294\n            ],\n            [\n              -121.39892578125,\n              37.57070524233116\n            ],\n            [\n              -119.893798828125,\n              35.63051198300061\n            ],\n            [\n              -118.6907958984375,\n              35.652832827451654\n            ],\n            [\n              -119.08630371093749,\n              36.319551259461186\n            ],\n            [\n              -119.55322265624999,\n              36.98500309285596\n            ],\n            [\n              -120.52001953124999,\n              38.03078569382294\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-31","publicationStatus":"PW","scienceBaseUri":"588b1977e4b0ad67323f97e8","contributors":{"authors":[{"text":"Ransom, Katherine M","contributorId":178789,"corporation":false,"usgs":false,"family":"Ransom","given":"Katherine","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":660979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grote, Mark N.","contributorId":178790,"corporation":false,"usgs":false,"family":"Grote","given":"Mark","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":660980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deinhart, Amanda","contributorId":178791,"corporation":false,"usgs":false,"family":"Deinhart","given":"Amanda","email":"","affiliations":[],"preferred":false,"id":660981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eppich, Gary","contributorId":178796,"corporation":false,"usgs":false,"family":"Eppich","given":"Gary","email":"","affiliations":[],"preferred":false,"id":660988,"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":660982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanborn, Matthew E.","contributorId":178792,"corporation":false,"usgs":false,"family":"Sanborn","given":"Matthew","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":660983,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sounders, A. Kate 0000-0002-1367-8924","orcid":"https://orcid.org/0000-0002-1367-8924","contributorId":178793,"corporation":false,"usgs":false,"family":"Sounders","given":"A.","email":"","middleInitial":"Kate","affiliations":[],"preferred":false,"id":660984,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wimpenny, Joshua","contributorId":178794,"corporation":false,"usgs":false,"family":"Wimpenny","given":"Joshua","email":"","affiliations":[],"preferred":false,"id":660985,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yin, Qing-zhu","contributorId":178795,"corporation":false,"usgs":false,"family":"Yin","given":"Qing-zhu","email":"","affiliations":[],"preferred":false,"id":660986,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Young, Megan B. 0000-0002-0229-4108 mbyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-0229-4108","contributorId":3315,"corporation":false,"usgs":true,"family":"Young","given":"Megan","email":"mbyoung@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":660978,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Harter, Thomas","contributorId":178245,"corporation":false,"usgs":false,"family":"Harter","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":660987,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70187252,"text":"70187252 - 2016 - Validation of a stream and riparian habitat assessment protocol using stream salamanders in the southwest Virginia coalfields","interactions":[],"lastModifiedDate":"2017-04-28T13:10:41","indexId":"70187252","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2526,"text":"Journal of the American Society of Mining and Reclamation","active":true,"publicationSubtype":{"id":10}},"title":"Validation of a stream and riparian habitat assessment protocol using stream salamanders in the southwest Virginia coalfields","docAbstract":"<p>Within the central Appalachia Coalfields, the aquatic impacts of large-scale land uses, such as surface mining, are of particular ecological concern. Identification and quantification of land use impacts to aquatic ecosystems are a necessary first step to aid in mitigation of negative consequences to biota. However, quantifying physical environmental quality such as stream and riparian habitat often can be quite difficult, particularly when there is time or fiscal limitations. As such, standard protocols such as the U.S. EPA’s Stream Habitat Rapid Bioassessment Protocol have been established to be cost- and time-effective. This protocol estimates ten different stream and riparian conditions on a scale of 0 to 20. Unfortunately, using estimations can be problematic because of large potential variation in the scoring depending on differences in training, experience, and opinion of the personnel doing the estimations. In order to help negate these biases and provide a simplified process, the U.S. Army Corps of Engineers (USACE) developed a functional assessment for streams that measures 11 stream and riparian variables along with watershed land use to calculate three different scores, a hydrology score, biogeochemical score, and habitat score. In our study, we examined the correlation of stream salamander presence and abundance to the three USACE scores. In the summer of 2013, we visited 70 sites in the southwest Virginia Coalfields multiple times to collect salamanders and quantify stream and riparian microhabitat parameters. Using occupancy and abundance analyses, we found strong relationships among three Desmognathus spp. and the USACE Habitat FCI score. Accordingly, the Habitat FCI score provides a reasonable assessment of physical instream and riparian conditions that may serve as a surrogate for understanding the community composition and integrity of aquatic salamander in the region. </p>","language":"English","publisher":" American Society of Mining and Reclamation","doi":"10.21000/JASMR16010045","usgsCitation":"Sweeten, S.E., and Ford, W.M., 2016, Validation of a stream and riparian habitat assessment protocol using stream salamanders in the southwest Virginia coalfields: Journal of the American Society of Mining and Reclamation, v. 5, no. 1, p. 45-66, https://doi.org/10.21000/JASMR16010045.","productDescription":"22 p.","startPage":"45","endPage":"66","ipdsId":"IP-064392","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470782,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.21000/jasmr16010045","text":"Publisher Index Page"},{"id":340613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","volume":"5","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-27","publicationStatus":"PW","scienceBaseUri":"590454a4e4b022cee40dc238","contributors":{"authors":[{"text":"Sweeten, Sara E.","contributorId":191565,"corporation":false,"usgs":false,"family":"Sweeten","given":"Sara","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":693485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693110,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193671,"text":"70193671 - 2016 - A long-term study of ecological impacts of river channelization on the population of an endangered fish: Lessons learned for assessment and restoration","interactions":[],"lastModifiedDate":"2017-11-13T14:13:43","indexId":"70193671","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"A long-term study of ecological impacts of river channelization on the population of an endangered fish: Lessons learned for assessment and restoration","docAbstract":"<p><span>Projects to assess environmental impact or restoration success in rivers focus on project-specific questions but can also provide valuable insights for future projects. Both restoration actions and impact assessments can become “adaptive” by using the knowledge gained from long-term monitoring and analysis to revise the actions, monitoring, conceptual model, or interpretation of findings so that subsequent actions or assessments are better informed. Assessments of impact or restoration success are especially challenging when the indicators of interest are imperiled species and/or the impacts being addressed are complex. From 1997 to 2015, we worked closely with two federal agencies to monitor habitat availability for and population density of Roanoke logperch (</span><i>Percina rex</i><span>), an endangered fish, in a 24-km-long segment of the upper Roanoke River, VA. We primarily used a Before-After-Control-Impact analytical framework to assess potential impacts of a river channelization project on the<span>&nbsp;</span></span><i>P. rex</i><span><span>&nbsp;</span>population. In this paper, we summarize how our extensive monitoring facilitated the evolution of our (a) conceptual understanding of the ecosystem and fish population dynamics; (b) choices of ecological indicators and analytical tools; and (c) conclusions regarding the magnitude, mechanisms, and significance of observed impacts. Our experience with this case study taught us important lessons about how to adaptively develop and conduct a monitoring program, which we believe are broadly applicable to assessments of environmental impact and restoration success in other rivers. In particular, we learned that (a) pre-treatment planning can enhance monitoring effectiveness, help avoid unforeseen pitfalls, and lead to more robust conclusions; (b) developing adaptable conceptual and analytical models early was crucial to organizing our knowledge, guiding our study design, and analyzing our data; (c) catchment-wide processes that we did not monitor, or initially consider, had profound implications for interpreting our findings; and (d) using multiple analytical frameworks, with varying assumptions, led to clearer interpretation of findings than the use of a single framework alone. Broader integration of these guiding principles into monitoring studies, though potentially challenging, could lead to more scientifically defensible assessments of project effects.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w8060240","usgsCitation":"Roberts, J.H., Anderson, G.B., and Angermeier, P.L., 2016, A long-term study of ecological impacts of river channelization on the population of an endangered fish: Lessons learned for assessment and restoration: Water, v. 8, no. 6, p. 1-38, https://doi.org/10.3390/w8060240.","productDescription":"Article 240; 38 p.","startPage":"1","endPage":"38","ipdsId":"IP-073154","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470796,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w8060240","text":"Publisher Index Page"},{"id":348710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-03","publicationStatus":"PW","scienceBaseUri":"5a60fd1fe4b06e28e9c24779","contributors":{"authors":[{"text":"Roberts, James H.","contributorId":83811,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":721841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Gregory B.","contributorId":65988,"corporation":false,"usgs":true,"family":"Anderson","given":"Gregory","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":721842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719847,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193159,"text":"70193159 - 2016 - Common carp disrupt ecosystem structure and function through middle-out effects","interactions":[],"lastModifiedDate":"2017-11-20T16:11:30","indexId":"70193159","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Common carp disrupt ecosystem structure and function through middle-out effects","docAbstract":"<p><span>Middle-out effects or a combination of top-down and bottom-up processes create many theoretical and empirical challenges in the realm of trophic ecology. We propose using specific autecology or species trait (i.e. behavioural) information to help explain and understand trophic dynamics that may involve complicated and non-unidirectional trophic interactions. The common carp (</span><i>Cyprinus carpio</i><span>) served as our model species for whole-lake observational and experimental studies; four trophic levels were measured to assess common carp-mediated middle-out effects across multiple lakes. We hypothesised that common carp could influence aquatic ecosystems through multiple pathways (i.e. abiotic and biotic foraging, early life feeding, nutrient). Both studies revealed most trophic levels were affected by common carp, highlighting strong middle-out effects likely caused by common carp foraging activities and abiotic influence (i.e. sediment resuspension). The loss of water transparency, submersed vegetation and a shift in zooplankton dynamics were the strongest effects. Trophic levels furthest from direct pathway effects were also affected (fish life history traits). The present study demonstrates that common carp can exert substantial effects on ecosystem structure and function. Species capable of middle-out effects can greatly modify communities through a variety of available pathways and are not confined to traditional top-down or bottom-up processes.</span></p>","language":"English","publisher":"CSIRO","doi":"10.1071/MF15068","usgsCitation":"Kaemingk, M.A., Jolley, J.C., Paukert, C.P., Willis, D.W., Henderson, K., Holland, R.S., Wanner, G.A., and Lindvall, M.L., 2016, Common carp disrupt ecosystem structure and function through middle-out effects: Marine and Freshwater Research, v. 68, no. 4, p. 718-731, https://doi.org/10.1071/MF15068.","productDescription":"14 p.","startPage":"718","endPage":"731","ipdsId":"IP-063503","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd1fe4b06e28e9c2477c","contributors":{"authors":[{"text":"Kaemingk, Mark A.","contributorId":40510,"corporation":false,"usgs":true,"family":"Kaemingk","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jolley, Jeffrey C.","contributorId":195102,"corporation":false,"usgs":false,"family":"Jolley","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":722935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":718107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willis, David W.","contributorId":55313,"corporation":false,"usgs":true,"family":"Willis","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":722936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henderson, Kjetil R.","contributorId":191695,"corporation":false,"usgs":false,"family":"Henderson","given":"Kjetil R.","affiliations":[],"preferred":false,"id":722937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holland, Richard S.","contributorId":200634,"corporation":false,"usgs":false,"family":"Holland","given":"Richard","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":722938,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wanner, Greg A.","contributorId":200635,"corporation":false,"usgs":false,"family":"Wanner","given":"Greg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722939,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lindvall, Mark L.","contributorId":200636,"corporation":false,"usgs":false,"family":"Lindvall","given":"Mark","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722940,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70175249,"text":"70175249 - 2016 - The impact of onsite wastewater disposal systems on groundwater in areas inundated by Hurricane Sandy in New York and New Jersey","interactions":[],"lastModifiedDate":"2018-08-07T12:22:24","indexId":"70175249","displayToPublicDate":"2016-06-30T18:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The impact of onsite wastewater disposal systems on groundwater in areas inundated by Hurricane Sandy in New York and New Jersey","docAbstract":"<p><span>Coastal onsite wastewater disposal systems (OWDS) were inundated by Hurricane Sandy's storm tide. This study compares the shallow groundwater quality (nutrients, pharmaceuticals, and hormones) downgradient of OWDS before and after Hurricane Sandy, where available, and establishes a baseline for wastewater influence on groundwater in coastal communities inundated by Hurricane Sandy. Nutrients and contaminants of emerging concern (CECs) were detected in shallow groundwater downgradient of OWDS in two settings along the New Jersey and New York coastlines: 1) a single, centralized OWDS in a park; and 2) multiple OWDS (cesspools) in low-density residential and mixed-use/medium density residential areas. The most frequently detected pharmaceuticals were lidocaine (40%), carbamazepine (36%), and fexofenadine, bupropion, desvenlafaxine, meprobamate, and tramadol (24&ndash;32%). Increases in the number and total concentration of pharmaceuticals after Hurricane Sandy may reflect other factors (seasonality, usage) besides inundation, and demonstrate the importance of analyzing for a wide variety of CECs in regional studies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.04.038","usgsCitation":"Fisher, I., Phillips, P.J., Colella, K., Fisher, S.C., Tagliaferri, T.N., Foreman, W., and Furlong, E.T., 2016, The impact of onsite wastewater disposal systems on groundwater in areas inundated by Hurricane Sandy in New York and New Jersey: Marine Pollution Bulletin, v. 107, no. 2, p. 509-517, https://doi.org/10.1016/j.marpolbul.2016.04.038.","productDescription":"9 p.","startPage":"509","endPage":"517","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069552","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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Kaitlyn kcolella@usgs.gov","contributorId":146500,"corporation":false,"usgs":true,"family":"Colella","given":"Kaitlyn","email":"kcolella@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":644535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":644536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tagliaferri, Tristen N. 0000-0001-7408-7899 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","email":"wforeman@usgs.gov","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":false,"id":644538,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":644539,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70174453,"text":"70174453 - 2016 - Comparison of wastewater-associated contaminants in the bed sediment of Hempstead Bay, New York, before and after Hurricane Sandy","interactions":[],"lastModifiedDate":"2018-08-09T12:19:14","indexId":"70174453","displayToPublicDate":"2016-06-30T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of wastewater-associated contaminants in the bed sediment of Hempstead Bay, New York, before and after Hurricane Sandy","docAbstract":"<p class=\"p1\"><span class=\"s1\">Changes in bed sediment chemistry of Hempstead Bay (HB) have been evaluated in the wake of Hurricane Sandy, which resulted in the release of billions of liters of poorly-treated sewage into tributaries and channels throughout the bay. Surficial grab samples (top 5&nbsp;cm) collected before and (or) after Hurricane Sandy from sixteen sites in HB were analyzed for 74 wastewater tracers and steroid hormones, and total organic carbon. Data from pre- and post-storm comparisons of the most frequently detected wastewater tracers and ratios of steroid hormone and of polycyclic aromatic hydrocarbon concentrations indicate an increased sewage signal near outfalls and downstream of where raw sewage was discharged. Median concentration of wastewater tracers decreased after the storm at sites further from outfalls. Overall, changes in sediment quality probably resulted from a combination of additional sewage inputs, sediment redistribution, and stormwater runoff in the days to weeks following Hurricane Sandy.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.03.044","usgsCitation":"Fisher, S.C., Phillips, P.J., Brownawell, B., and Browne, J., 2016, Comparison of wastewater-associated contaminants in the bed sediment of Hempstead Bay, New York, before and after Hurricane Sandy: Marine Pollution Bulletin, v. 107, no. 2, p. 499-508, https://doi.org/10.1016/j.marpolbul.2016.03.044.","productDescription":"10 p.","startPage":"499","endPage":"508","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069548","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":325102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Hempstead Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.828125,\n              40.538851525354644\n            ],\n            [\n              -73.828125,\n              40.71499673906409\n            ],\n            [\n              -73.35708618164062,\n              40.71499673906409\n            ],\n            [\n              -73.35708618164062,\n              40.538851525354644\n            ],\n            [\n              -73.828125,\n              40.538851525354644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dc1a3e4b0589fa1cb7d82","contributors":{"authors":[{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Patrick J. 0000-0001-5915-2015 pjphilli@usgs.gov","orcid":"https://orcid.org/0000-0001-5915-2015","contributorId":172757,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick","email":"pjphilli@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brownawell, Bruce J.","contributorId":108264,"corporation":false,"usgs":true,"family":"Brownawell","given":"Bruce J.","affiliations":[],"preferred":false,"id":642196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Browne, James","contributorId":172825,"corporation":false,"usgs":false,"family":"Browne","given":"James","email":"","affiliations":[{"id":27101,"text":"Conservation Biologist, Town of Hempstead Dept of Conservation & Waterways","active":true,"usgs":false}],"preferred":false,"id":642197,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70170965,"text":"sir20165060 - 2016 - Flood-inundation maps for Lake Champlain in Vermont and in northern Clinton County, New York","interactions":[{"subject":{"id":70170965,"text":"sir20165060 - 2016 - Flood-inundation maps for Lake Champlain in Vermont and in northern Clinton County, New York","indexId":"sir20165060","publicationYear":"2016","noYear":false,"title":"Flood-inundation maps for Lake Champlain in Vermont and in northern Clinton County, New York"},"predicate":"SUPERSEDED_BY","object":{"id":70202005,"text":"sir20185169 - 2019 - Flood-inundation maps for Lake Champlain in Vermont and New York","indexId":"sir20185169","publicationYear":"2019","noYear":false,"title":"Flood-inundation maps for Lake Champlain in Vermont and New York"},"id":1}],"supersededBy":{"id":70202005,"text":"sir20185169 - 2019 - Flood-inundation maps for Lake Champlain in Vermont and New York","indexId":"sir20185169","publicationYear":"2019","noYear":false,"title":"Flood-inundation maps for Lake Champlain in Vermont and New York"},"lastModifiedDate":"2022-11-02T14:53:45.691442","indexId":"sir20165060","displayToPublicDate":"2016-06-30T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5060","title":"Flood-inundation maps for Lake Champlain in Vermont and in northern Clinton County, New York","docAbstract":"<p>Digital flood-inundation maps for an approximately100-mile length of Lake Champlain in Addison, Chittenden, Franklin, and Grand Isle Counties in Vermont and northern Clinton County in New York were created by the U.S. Geological Survey (USGS) in cooperation with the International Joint Commission (IJC). The flood-inundationmaps, which can be accessed through the International Joint Commission (IJC) Web site at <a href=\"http://www.ijc.org/en_/\" data-mce-href=\"http://www.ijc.org/en_/\">http://www.ijc.org/en_/</a>, depict estimates of the areal extent flooding correspondingto selected water levels (stages) at the USGS lake gage on the Richelieu River (Lake Champlain) at Rouses Point, N.Y. (station number 04295000). In this study, wind and seiche effects (standing oscillating wave with a long wavelength) were not taken into account and the flood-inundation mapsreflect 11 stages (elevations) for Lake Champlain that are static for the study length of the lake. Near-real-time stages at this lake gage, and others on Lake Champlain, may be obtained on the Internet from the USGS National Water Information System at <a href=\"http://waterdata.usgs.gov/\" data-mce-href=\"http://waterdata.usgs.gov/\">http://waterdata.usgs.gov/</a> or the National Weather Service Advanced Hydrologic Prediction Service at <a href=\"http:/water.weather.gov/ahps/\" data-mce-href=\"http:/water.weather.gov/ahps/\">http:/water.weather.gov/ahps/</a>, which also forecasts flood hydrographs at the Richelieu River (Lake Champlain) at Rouses Point.</p><p>Static flood boundary extents were determined for LakeChamplain in Addison, Chittenden, Franklin, and Grand Isle Counties in Vermont and northern Clinton County in New York using recently acquired (2013–2014) lidar (light detection and ranging) and may be referenced to any of the five USGS lake gages on Lake Champlain. Of these five lakgages, USGS lake gage 04295000, Richelieu River (Lake Champlain) at Rouses Point, N.Y., is the only USGS lake gage that is also a National Weather Service prediction location. Flood boundary extents for the Lake Champlain static flood-inundation map corresponding to the May 201 flood(103.2 feet [ft], National Geodetic Vertical Datum [NGVD] 29) were evaluated by comparing these boundary extents against the inundation area extents determined for the May 2011 flood (which incorporated documented high-water marksfrom the flood of May 201) (Bjerklie and others, 2014).</p><p>A digital elevation model (DEM) was created by USGS, within a geographic information system (GIS), from the recently flown and processed light detection and ranging(lidar) data (2013–2014) in Vermont and the lake shore area of northern Clinton County in New York. The lidar data have a vertical accuracy of 0.3 to 0.6-ft (9.6 to 18.0-centimeters [cm]) and a horizontal resolution of 2.3 to 4.6 ft (0.7 to 1.4 meters). This DEM was used in determining the floodboundary for 11 flood stages at 0.5-ft intervals from 100.0 to104.0 ft (NGVD 29) and 1-ft intervals from 104.0 to 106.0 ft (NGVD 29) as referenced to the USGS lake gage 04295000, Richelieu River (Lake Champlain) at Rouses Point, N.Y. In addition, the May 2011 flood-inundation area for elevation103.20 ft (NGVD 29) (102.77 ft, North American Vertical Datum [NAVD] 88) was determined from this DEM. The May 2011 flood is the highest recorded lake water level (stage)at the Rouses Point, N.Y., lake gage. Flood stages greater than 101.5 ft (NGVD 29) exceed the “major flood stage”as defined by the NationalWeather Service for USGS lake gage 04295000.</p><p>The availability of these maps, along with Internet information regarding current stage from the USGS lake gage and forecasted high-flow stages from the NationalWeather Service, will provide emergency management personnel and residents with information that is critical for flood responseactivities such as evacuations and road closures, as well as for post-flood recovery eforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165060","collaboration":"Prepared in cooperation with the International Joint Commission","usgsCitation":"Flynn, R.H., and Hayes, Laura, 2016, Flood-inundation maps for Lake Champlain in Vermont and in northern Clinton County, New York: U.S. Geological Survey Scientific Investigations Report 2016–5060, 11 p., https://dx.doi.org/10.3133/sir20165060.","productDescription":"vi, 11 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-068359","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":323821,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5060/sir20165060.pdf","text":"Report","size":"1.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5060"},{"id":323820,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5060/coverthb.jpg"}],"country":"United States","state":"New York, Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.4600830078125,\n              43.614205328810954\n            ],\n            [\n              -73.4600830078125,\n              45.00753503123719\n            ],\n            [\n              -73.11676025390625,\n              45.00753503123719\n            ],\n            [\n              -73.11676025390625,\n              43.614205328810954\n            ],\n            [\n              -73.4600830078125,\n              43.614205328810954\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center <br /> U.S. Geological Survey <br /> 331 Commerce Way, Suite 2 <br /> Pembroke, NH 03275</p>\n<p>Or visit our Web site at:<br /> <a href=\"http://newengland.water.usgs.gov\">http://newengland.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Creation of Flood-Inundation-Map Library</li><li>Estimating Potential Losses Due to Flooding</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-06-30","noUsgsAuthors":false,"publicationDate":"2016-06-30","publicationStatus":"PW","scienceBaseUri":"5776349de4b07dd077c829bb","contributors":{"authors":[{"text":"Flynn, Robert H. rflynn@usgs.gov","contributorId":2137,"corporation":false,"usgs":true,"family":"Flynn","given":"Robert","email":"rflynn@usgs.gov","middleInitial":"H.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Laura 0000-0002-4488-1343 lhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-1343","contributorId":2791,"corporation":false,"usgs":true,"family":"Hayes","given":"Laura","email":"lhayes@usgs.gov","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629266,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174026,"text":"ofr20161106 - 2016 - Updated logistic regression equations for the calculation of post-fire debris-flow likelihood in the western United States","interactions":[],"lastModifiedDate":"2016-06-30T14:43:17","indexId":"ofr20161106","displayToPublicDate":"2016-06-30T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1106","title":"Updated logistic regression equations for the calculation of post-fire debris-flow likelihood in the western United States","docAbstract":"<p>Wildfire can significantly alter the hydrologic response of a watershed to the extent that even modest rainstorms can generate dangerous flash floods and debris flows. To reduce public exposure to hazard, the U.S. Geological Survey produces post-fire debris-flow hazard assessments for select fires in the western United States. We use publicly available geospatial data describing basin morphology, burn severity, soil properties, and rainfall characteristics to estimate the statistical likelihood that debris flows will occur in response to a storm of a given rainfall intensity. Using an empirical database and refined geospatial analysis methods, we defined new equations for the prediction of debris-flow likelihood using logistic regression methods. We showed that the new logistic regression model outperformed previous models used to predict debris-flow likelihood.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161106","usgsCitation":"Staley, D.M., Negri, J.A., Kean, J.W., Laber, J.M., Tillery, A.C., and Youberg, A.M., 2016, Updated logistic regression equations for the calculation of post-fire debris-flow likelihood in the western United States: U.S. Geological Survey Open-File Report 2016–1106, 13 p., https://dx.doi.org/ofr20161106.","productDescription":"Report: iv, 13 p.; Appendix 1","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076051","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":324673,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1106/ofr20161106.pdf","text":"Report","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1106 Report"},{"id":324672,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1106/coverthb.jpg"},{"id":324675,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1106/ofr20161106_appx-1.xlsx","text":"Appendix 1","size":"268 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1106 Appendix 1"}],"contact":"<p>Center Director, Geologic Hazards Science Center<br>U.S. Geological Survey<br>Box 25046, MS 966<br>Denver, CO 80225-0046</p><p><a href=\"http://geohazards.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://geohazards.usgs.gov/\">http://geohazards.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-06-30","noUsgsAuthors":false,"publicationDate":"2016-06-30","publicationStatus":"PW","scienceBaseUri":"5776349ee4b07dd077c829de","contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":640550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Negri, Jacquelyn A. jnegri@usgs.gov","contributorId":172610,"corporation":false,"usgs":true,"family":"Negri","given":"Jacquelyn","email":"jnegri@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":640551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":640552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laber, Jayme L.","contributorId":36832,"corporation":false,"usgs":true,"family":"Laber","given":"Jayme","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":640553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":640554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Youberg, Ann M. 0000-0002-2005-3674","orcid":"https://orcid.org/0000-0002-2005-3674","contributorId":172609,"corporation":false,"usgs":false,"family":"Youberg","given":"Ann","email":"","middleInitial":"M.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address:  TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":true,"id":640555,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70174334,"text":"70174334 - 2016 - Regional variability in bed-sediment concentrations of wastewater compounds, hormones and PAHs for portions of coastal New York and New Jersey impacted by hurricane Sandy","interactions":[],"lastModifiedDate":"2018-08-09T12:05:40","indexId":"70174334","displayToPublicDate":"2016-06-30T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Regional variability in bed-sediment concentrations of wastewater compounds, hormones and PAHs for portions of coastal New York and New Jersey impacted by hurricane Sandy","docAbstract":"<p>Bed sediment samples from 79 coastal New York and New Jersey, USA sites were analyzed for 75 compounds including wastewater associated contaminants, PAHs, and other organic compounds to assess the post-Hurricane Sandy distribution of organic contaminants among six regions. These results provide the first assessment of wastewater compounds, hormones, and PAHs in bed sediment for this region. Concentrations of most wastewater contaminants and PAHs were highest in the most developed region (Upper Harbor/Newark Bay, UHNB) and reflected the wastewater inputs to this area. Although the lack of pre-Hurricane Sandy data for most of these compounds make it impossible to assess the effect of the storm on wastewater contaminant concentrations, PAH concentrations in the UHNB region reflect pre-Hurricane Sandy conditions in this region. Lower hormone concentrations than predicted by the total organic carbon relation occurred in UHNB samples, suggesting that hormones are being degraded in the UHNB region.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.04.050","usgsCitation":"Phillips, P.J., Gibson, C.A., Fisher, S.C., Fisher, I., Reilly, T.J., Smalling, K., Romanok, K., Foreman, W., ReVello, R., Focazio, M.J., and Jones, D.K., 2016, Regional variability in bed-sediment concentrations of wastewater compounds, hormones and PAHs for portions of coastal New York and New Jersey impacted by hurricane Sandy: Marine Pollution Bulletin, v. 107, no. 2, p. 489-498, https://doi.org/10.1016/j.marpolbul.2016.04.050.","productDescription":"9 p.","startPage":"489","endPage":"498","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069674","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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,{"id":70162329,"text":"70162329 - 2016 - Application of SPARROW modeling to understanding contaminant fate and transport from uplands to streams","interactions":[],"lastModifiedDate":"2016-06-30T11:18:18","indexId":"70162329","displayToPublicDate":"2016-06-30T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2126,"text":"JAWRA","active":true,"publicationSubtype":{"id":10}},"title":"Application of SPARROW modeling to understanding contaminant fate and transport from uplands to streams","docAbstract":"<p><span>Understanding spatial variability in contaminant fate and transport is critical to efficient regional water-quality restoration. An approach to capitalize on previously calibrated spatially referenced regression (SPARROW) models to improve the understanding of contaminant fate and transport was developed and applied to the case of nitrogen in the 166,000&nbsp;km</span><sup>2</sup><span>&nbsp;Chesapeake Bay watershed. A continuous function of four hydrogeologic, soil, and other landscape properties significant (</span><i>&alpha;</i><span>&nbsp;=&nbsp;0.10) to nitrogen transport from uplands to streams was evaluated and compared among each of the more than 80,000 individual catchments (mean area, 2.1&nbsp;km</span><sup>2</sup><span>) in the watershed. Budgets (including inputs, losses or net change in storage in uplands and stream corridors, and delivery to tidal waters) were also estimated for nitrogen applied to these catchments from selected upland sources. Most (81%) of such inputs are removed, retained, or otherwise processed in uplands rather than transported to surface waters. Combining SPARROW results with previous budget estimates suggests 55% of this processing is attributable to denitrification, 23% to crop or timber harvest, and 6% to volatilization. Remaining upland inputs represent a net annual increase in landscape storage in soils or biomass exceeding 10&nbsp;kg per hectare in some areas. Such insights are important for planning watershed restoration and for improving future watershed models.</span></p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12419","usgsCitation":"Ator, S., and Garcia, A.M., 2016, Application of SPARROW modeling to understanding contaminant fate and transport from uplands to streams: JAWRA, v. 52, no. 3, p. 685-704, https://doi.org/10.1111/1752-1688.12419.","productDescription":"20 p.","startPage":"685","endPage":"704","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071433","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":324676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-09","publicationStatus":"PW","scienceBaseUri":"5776349ce4b07dd077c829aa","contributors":{"authors":[{"text":"Ator, Scott 0000-0002-9186-4837 swator@usgs.gov","orcid":"https://orcid.org/0000-0002-9186-4837","contributorId":152414,"corporation":false,"usgs":true,"family":"Ator","given":"Scott","email":"swator@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":589240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Ana Maria 0000-0002-5388-1281 agarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-1281","contributorId":2035,"corporation":false,"usgs":true,"family":"Garcia","given":"Ana","email":"agarcia@usgs.gov","middleInitial":"Maria","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":589241,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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