{"pageNumber":"668","pageRowStart":"16675","pageSize":"25","recordCount":68919,"records":[{"id":70004604,"text":"70004604 - 2012 - Insight on invasions and resilience derived from spatiotemporal discontinuities of biomass at local and regional scales","interactions":[],"lastModifiedDate":"2017-05-10T09:44:50","indexId":"70004604","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Insight on invasions and resilience derived from spatiotemporal discontinuities of biomass at local and regional scales","docAbstract":"<p>Understanding the social and ecological consequences of species invasions is complicated by nonlinearities in processes, and differences in process and structure as scale is changed. Here we use discontinuity analyses to investigate nonlinear patterns in the distribution of biomass of an invasive nuisance species that could indicate scale-specific organization. We analyze biomass patterns in the flagellate Gonyostomum semen (Raphidophyta) in 75 boreal lakes during an 11-year period (1997-2007). With simulations using a unimodal null model and cluster analysis, we identified regional groupings of lakes based on their biomass patterns. We evaluated the variability of membership of individual lakes in regional biomass groups. Temporal trends in local and regional discontinuity patterns were analyzed using regressions and correlations with environmental variables that characterize nutrient conditions, acidity status, temperature variability, and water clarity. Regionally, there was a significant increase in the number of biomass groups over time, indicative of an increased number of scales at which algal biomass organizes across lakes. This increased complexity correlated with the invasion history of G. semen and broad-scale environmental change (recovery from acidification). Locally, no consistent patterns of lake membership to regional biomass groups were observed, and correlations with environmental variables were lake specific. The increased complexity of regional biomass patterns suggests that processes that act within or between scales reinforce the presence of G. semen and its potential to develop high-biomass blooms in boreal lakes. Emergent regional patterns combined with locally stochastic dynamics suggest a bleak future for managing G. semen, and more generally why invasive species can be ecologically successful.</p>","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/ES-04928-170232","usgsCitation":"Angeler, D., Allen, C.R., and Johnson, R.K., 2012, Insight on invasions and resilience derived from spatiotemporal discontinuities of biomass at local and regional scales: Ecology and Society, v. 17, no. 2, 15 p.; Article 32, https://doi.org/10.5751/ES-04928-170232.","productDescription":"15 p.; Article 32","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037249","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":488008,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-04928-170232","text":"Publisher Index Page"},{"id":259236,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259227,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5751/ES-04928-170232","linkFileType":{"id":5,"text":"html"}}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c1ee4b0c8380cd62aa3","contributors":{"authors":[{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":350832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Criag R.","contributorId":72247,"corporation":false,"usgs":true,"family":"Allen","given":"Criag","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":350833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Richard K.","contributorId":21810,"corporation":false,"usgs":true,"family":"Johnson","given":"Richard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":350831,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038620,"text":"70038620 - 2012 - Freshwater DOM quantity and quality from a two-component model of UV absorbance","interactions":[],"lastModifiedDate":"2012-07-31T01:01:47","indexId":"70038620","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Freshwater DOM quantity and quality from a two-component model of UV absorbance","docAbstract":"We present a model that considers UV-absorbing dissolved organic matter (DOM) to consist of two components (A and B), each with a distinct and constant spectrum. Component A absorbs UV light strongly, and is therefore presumed to possess aromatic chromophores and hydrophobic character, whereas B absorbs weakly and can be assumed hydrophilic. We parameterised the model with dissolved organic carbon concentrations [DOC] and corresponding UV spectra for c. 1700 filtered surface water samples from North America and the United Kingdom, by optimising extinction coefficients for A and B, together with a small constant concentration of non-absorbing DOM (0.80 mg DOC L<sup>-1</sup>). Good unbiased predictions of [DOC] from absorbance data at 270 and 350 nm were obtained (<i>r</i><sup>2</sup> = 0.98), the sum of squared residuals in [DOC] being reduced by 66% compared to a regression model fitted to absorbance at 270 nm alone. The parameterised model can use measured optical absorbance values at any pair of suitable wavelengths to calculate both [DOC] and the relative amounts of A and B in a water sample, i.e. measures of quantity and quality. Blind prediction of [DOC] was satisfactory for 9 of 11 independent data sets (181 of 213 individual samples).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.watres.2012.05.021","usgsCitation":"Carter, H.T., Tipping, E., Koprivnjak, J., Miller, M.P., Cookson, B., and Hamilton-Taylor, J., 2012, Freshwater DOM quantity and quality from a two-component model of UV absorbance: Water Research, v. 46, no. 14, p. 4532-4542, https://doi.org/10.1016/j.watres.2012.05.021.","productDescription":"11 p.","startPage":"4532","endPage":"4542","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":474395,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.watres.2012.05.021","text":"External Repository"},{"id":259215,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259206,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2012.05.021","linkFileType":{"id":5,"text":"html"}}],"volume":"46","issue":"14","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a13dbe4b0c8380cd547e9","contributors":{"authors":[{"text":"Carter, Heather T.","contributorId":19826,"corporation":false,"usgs":true,"family":"Carter","given":"Heather","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":464543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tipping, Edward","contributorId":36405,"corporation":false,"usgs":true,"family":"Tipping","given":"Edward","email":"","affiliations":[],"preferred":false,"id":464545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koprivnjak, Jean-Francois","contributorId":52020,"corporation":false,"usgs":true,"family":"Koprivnjak","given":"Jean-Francois","email":"","affiliations":[],"preferred":false,"id":464546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cookson, Brenda","contributorId":33960,"corporation":false,"usgs":true,"family":"Cookson","given":"Brenda","email":"","affiliations":[],"preferred":false,"id":464544,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamilton-Taylor, John","contributorId":12729,"corporation":false,"usgs":true,"family":"Hamilton-Taylor","given":"John","email":"","affiliations":[],"preferred":false,"id":464542,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039247,"text":"sir20125112 - 2012 - Assessment of nutrients and suspended sediment conditions in and near the Agassiz National Wildlife Refuge, Northwest Minnesota, 2008&ndash;2010","interactions":[],"lastModifiedDate":"2017-10-14T11:29:03","indexId":"sir20125112","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","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":"2012-5112","title":"Assessment of nutrients and suspended sediment conditions in and near the Agassiz National Wildlife Refuge, Northwest Minnesota, 2008&ndash;2010","docAbstract":"In response to concerns about water-quality impairments that may affect habitat degradation in Agassiz National Wildlife Refuge in northwest Minnesota, the U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service collected streamflow data, discrete nutrient and suspended- sediment samples, and continuous water-quality data from 2008 to 2010. Constituent loads were estimated for nutrients and suspended sediment using sample data and streamflow data. In addition, a potential water-quality and streamflow monitoring program design was developed for Agassiz National Wildlife Refuge. Results from this study can be used by resource managers to address identified impairments and protect wildlife habitat and public water supply, and may contribute toward developing more effective water-management plans for Agassiz National Wildlife Refuge.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125112","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Nustad, R.A., and Galloway, J.M., 2012, Assessment of nutrients and suspended sediment conditions in and near the Agassiz National Wildlife Refuge, Northwest Minnesota, 2008&ndash;2010: U.S. Geological Survey Scientific Investigations Report 2012-5112, viii, 45 p.; ill. (col.); col. maps, https://doi.org/10.3133/sir20125112.","productDescription":"viii, 45 p.; ill. (col.); col. maps","startPage":"i","endPage":"45","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":259217,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5112.gif"},{"id":259209,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5112/","linkFileType":{"id":5,"text":"html"}},{"id":259210,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5112/sir2012-5112.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Minnesota","otherGeospatial":"Agassiz National Wildlife Refuge","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee46e4b0c8380cd49c7c","contributors":{"authors":[{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465863,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038683,"text":"70038683 - 2012 - Diversity of active aerobic methanotrophs along depth profiles of arctic and subarctic lake water column and sediments","interactions":[],"lastModifiedDate":"2012-09-21T17:16:41","indexId":"70038683","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1956,"text":"ISME Journal","active":true,"publicationSubtype":{"id":10}},"title":"Diversity of active aerobic methanotrophs along depth profiles of arctic and subarctic lake water column and sediments","docAbstract":"Methane (CH<sub>4</sub>) emitted from high-latitude lakes accounts for 2&ndash;6% of the global atmospheric CH<sub>4</sub> budget. Methanotrophs in lake sediments and water columns mitigate the amount of CH<sub>4</sub> that enters the atmosphere, yet their identity and activity in arctic and subarctic lakes are poorly understood. We used stable isotope probing (SIP), quantitative PCR (Q-PCR), pyrosequencing and enrichment cultures to determine the identity and diversity of active aerobic methanotrophs in the water columns and sediments (0&ndash;25 cm) from an arctic tundra lake (Lake Qalluuraq) on the north slope of Alaska and a subarctic taiga lake (Lake Killarney) in Alaska's interior. The water column CH<sub>4</sub> oxidation potential for these shallow (~2m deep) lakes was greatest in hypoxic bottom water from the subarctic lake. The type II methanotroph, Methylocystis, was prevalent in enrichment cultures of planktonic methanotrophs from the water columns. In the sediments, type I methanotrophs (Methylobacter, Methylosoma and Methylomonas) at the sediment-water interface (0&ndash;1 cm) were most active in assimilating CH<sub>4</sub>, whereas the type I methanotroph Methylobacter and/or type II methanotroph Methylocystis contributed substantially to carbon acquisition in the deeper (15&ndash;20 cm) sediments. In addition to methanotrophs, an unexpectedly high abundance of methylotrophs also actively utilized CH<sub>4</sub>-derived carbon. This study provides new insight into the identity and activity of methanotrophs in the sediments and water from high-latitude lakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"ISME Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","publisherLocation":"Washington, D.C.","doi":"10.1038/ismej.2012.34","usgsCitation":"He, R., Wooller, M., Pohlman, J., Quensen, J., Tiedje, J.M., and Leigh, M.B., 2012, Diversity of active aerobic methanotrophs along depth profiles of arctic and subarctic lake water column and sediments: ISME Journal, v. 6, no. 10, p. 1937-1948, https://doi.org/10.1038/ismej.2012.34.","productDescription":"12 p.","startPage":"1937","endPage":"1948","numberOfPages":"53","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474397,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ismej.2012.34","text":"Publisher Index Page"},{"id":259191,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259188,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ismej.2012.34","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Lake Qalluuraq;Lake Kilarney","volume":"6","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-05-17","publicationStatus":"PW","scienceBaseUri":"505a0351e4b0c8380cd5041c","contributors":{"authors":[{"text":"He, Ruo","contributorId":53222,"corporation":false,"usgs":true,"family":"He","given":"Ruo","email":"","affiliations":[],"preferred":false,"id":464688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wooller, Matthew J.","contributorId":24213,"corporation":false,"usgs":true,"family":"Wooller","given":"Matthew J.","affiliations":[],"preferred":false,"id":464684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pohlman, John W.","contributorId":95288,"corporation":false,"usgs":true,"family":"Pohlman","given":"John W.","affiliations":[],"preferred":false,"id":464689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quensen, John","contributorId":24214,"corporation":false,"usgs":true,"family":"Quensen","given":"John","email":"","affiliations":[],"preferred":false,"id":464685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tiedje, James M.","contributorId":37591,"corporation":false,"usgs":true,"family":"Tiedje","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464687,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leigh, Mary Beth","contributorId":25028,"corporation":false,"usgs":true,"family":"Leigh","given":"Mary","email":"","middleInitial":"Beth","affiliations":[],"preferred":false,"id":464686,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038535,"text":"70038535 - 2012 - Field information links permafrost carbon to physical vulnerabilities of thawing","interactions":[],"lastModifiedDate":"2017-11-02T12:00:11","indexId":"70038535","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Field information links permafrost carbon to physical vulnerabilities of thawing","docAbstract":"Deep soil profiles containing permafrost (Gelisols) were characterized for organic carbon (C) and total nitrogen (N) stocks to 3m depths. Using the Community Climate System Model (CCSM4) we calculate cumulative probability functions (PDFs) for active layer depths under current and future climates. The difference in PDFs over time was multiplied by C and N contents of soil horizons in Gelisol suborders to calculate newly thawed C and N, Thawing ranged from 147 PgC with 10 PgN by 2050 (representative concentration pathway RCP scenario 4.5) to 436 PgC with 29 PgN by 2100 (RCP 8.5). Organic horizons that thaw are vulnerable to combustion, and all horizon types are vulnerable to shifts in hydrology and decomposition. The rates and extent of such losses are unknown and can be further constrained by linking field and modelling approaches. These changes have the potential for strong additional loading to our atmosphere, water resources, and ecosystems.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012GL051958","usgsCitation":"Harden, J.W., Koven, C., Ping, C., Hugelius, G., McGuire, A., Camill, P., Jorgenson, T., Kuhry, P., Michaelson, G., O’Donnell, J.A., Schuur, E.A., Tamocai, C., Johnson, K., and Grosse, G., 2012, Field information links permafrost carbon to physical vulnerabilities of thawing: Geophysical Research Letters, v. 39, 6 p.; L15704, https://doi.org/10.1029/2012GL051958.","productDescription":"6 p.; L15704","ipdsId":"IP-041567","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":259211,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259204,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GL051958","linkFileType":{"id":5,"text":"html"}}],"volume":"39","noUsgsAuthors":false,"publicationDate":"2012-08-07","publicationStatus":"PW","scienceBaseUri":"505a0fc0e4b0c8380cd539da","contributors":{"authors":[{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":464517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koven, Charles","contributorId":51143,"corporation":false,"usgs":true,"family":"Koven","given":"Charles","affiliations":[],"preferred":false,"id":464523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ping, Chien-Lu","contributorId":12726,"corporation":false,"usgs":true,"family":"Ping","given":"Chien-Lu","email":"","affiliations":[],"preferred":false,"id":464519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hugelius, Gustaf 0000-0002-8096-1594","orcid":"https://orcid.org/0000-0002-8096-1594","contributorId":73863,"corporation":false,"usgs":false,"family":"Hugelius","given":"Gustaf","email":"","affiliations":[{"id":17850,"text":"Dept of Earth System Science, Stanford University, Stanford, CA 94305","active":true,"usgs":false},{"id":25546,"text":"Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":464525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":464520,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Camill, P.","contributorId":78185,"corporation":false,"usgs":true,"family":"Camill","given":"P.","affiliations":[],"preferred":false,"id":464526,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jorgenson, Torre","contributorId":45380,"corporation":false,"usgs":true,"family":"Jorgenson","given":"Torre","affiliations":[],"preferred":false,"id":464521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kuhry, Peter","contributorId":9513,"corporation":false,"usgs":true,"family":"Kuhry","given":"Peter","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":464518,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Michaelson, Gary","contributorId":56086,"corporation":false,"usgs":true,"family":"Michaelson","given":"Gary","email":"","affiliations":[],"preferred":false,"id":464524,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"O’Donnell, Jonathan A.","contributorId":84138,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464530,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schuur, Edward A.G.","contributorId":50026,"corporation":false,"usgs":true,"family":"Schuur","given":"Edward","email":"","middleInitial":"A.G.","affiliations":[],"preferred":false,"id":464522,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tamocai, Charles","contributorId":81738,"corporation":false,"usgs":true,"family":"Tamocai","given":"Charles","email":"","affiliations":[],"preferred":false,"id":464527,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Johnson, Kevin","contributorId":83287,"corporation":false,"usgs":true,"family":"Johnson","given":"Kevin","affiliations":[],"preferred":false,"id":464529,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":464528,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70009627,"text":"70009627 - 2012 - Habitat use by a freshwater dolphin in the low-water season","interactions":[],"lastModifiedDate":"2018-01-08T12:22:50","indexId":"70009627","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use by a freshwater dolphin in the low-water season","docAbstract":"1. Many river dolphin populations are most vulnerable during the low-water season when habitat is limited. Indus River dolphin habitat selection in the dry season was investigated using Generalized Linear Models of dolphin distribution and abundance in relation to physical features of river geomorphology and channel geometry in cross-section. 2. Dolphins selected locations in the river with significantly greater mean depth, maximum depth, cross-sectional area, and hydraulic radius, and significantly narrower river width and a lower degree of braiding than areas where dolphins were absent. They were also recorded with higher frequency at river constrictions and at confluences. 3. Channel cross-sectional area was the most important factor affecting dolphin presence and abundance, with the area of water below 1 m in depth exerting the greatest influence. Indus dolphins avoided channels with small cross-sectional area (<700 m<sup>2</sup>), presumably owing to the risk of entrapment and reduced foraging opportunities. 4. Channel geometry had a greater ability to explain dolphin distribution than river geomorphology; however, both analyses indicated similar types of habitat selection. The dolphin&ndash;habitat relationships identified in the river geomorphology analysis were scale-dependent, indicating that dolphin distribution is driven by the occurrence of discrete small-scale features, such as confluences and constrictions, as well as by broader-scale habitat complexes. 5. There are numerous plans to impound or extract more water from the Indus River system. If low-water season flows are allowed to decrease further, the amount of deeper habitat will decline, there may be insufficient patches of suitable habitat to support the dolphin population through the low-water season, and dolphins may become isolated within deeper river sections, unable or unwilling to traverse through shallows between favourable patches of habitat.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquatic Conservation: Marine and Freshwater Ecosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/aqc.2246","usgsCitation":"Braulik, G.T., Reichert, A.P., Ehsan, T., Khan, S., Northridge, S.P., Alexander, J.S., and Garstang, R., 2012, Habitat use by a freshwater dolphin in the low-water season: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 22, no. 4, p. 533-546, https://doi.org/10.1002/aqc.2246.","productDescription":"14 p.","startPage":"533","endPage":"546","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":259218,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259208,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/aqc.2246","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Indus River","volume":"22","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-05-04","publicationStatus":"PW","scienceBaseUri":"505a2f3de4b0c8380cd5cbea","contributors":{"authors":[{"text":"Braulik, Gill T.","contributorId":28472,"corporation":false,"usgs":true,"family":"Braulik","given":"Gill","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":356763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reichert, Albert P.","contributorId":10655,"corporation":false,"usgs":true,"family":"Reichert","given":"Albert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":356762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ehsan, Tahir","contributorId":58504,"corporation":false,"usgs":true,"family":"Ehsan","given":"Tahir","email":"","affiliations":[],"preferred":false,"id":356766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Khan, Samiullah","contributorId":49644,"corporation":false,"usgs":true,"family":"Khan","given":"Samiullah","email":"","affiliations":[],"preferred":false,"id":356765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Northridge, Simon P.","contributorId":106362,"corporation":false,"usgs":true,"family":"Northridge","given":"Simon","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":356768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alexander, Jason S. 0000-0002-1602-482X jalexand@usgs.gov","orcid":"https://orcid.org/0000-0002-1602-482X","contributorId":2802,"corporation":false,"usgs":true,"family":"Alexander","given":"Jason","email":"jalexand@usgs.gov","middleInitial":"S.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":false,"id":356767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garstang, Richard","contributorId":45165,"corporation":false,"usgs":true,"family":"Garstang","given":"Richard","email":"","affiliations":[],"preferred":false,"id":356764,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70004895,"text":"70004895 - 2012 - Evidence of recent climate change within the historic range of Rio Grande cutthroat trout: implications for management and future persistence","interactions":[],"lastModifiedDate":"2017-05-10T09:52:46","indexId":"70004895","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of recent climate change within the historic range of Rio Grande cutthroat trout: implications for management and future persistence","docAbstract":"Evidence of anthropogenically influenced climate change has motivated natural resource managers to incorporate adaptive measures to minimize risks to sensitive and threatened species. Detecting trends in climate variables (i.e., air temperature and hydrology) can serve as a valuable management tool for protecting vulnerable species by increasing our understanding of localized conditions and trends. The Rio Grande cutthroat trout Oncorhynchus clarkii virginalis has suffered a severe decline in its historical distribution, with the majority of current populations persisting in isolated headwater streams. To evaluate recent climate change within the subspecies' historical range, we examined trends in average air temperatures, biologically important hydrological variables (timing of snowmelt and seasonal flows), and the April 1 snow water equivalent over the last 45 years (1963&ndash;2007). While rates of change in all three metrics were variable across sites, rangewide patterns were evident. Across the subspecies' historical range, average annual air temperatures increased (0.29&deg;C per decade) and the timing of snowmelt shifted 10.6 d earlier in the year (2.3 d/decade). Flows increased during biologically important periods, including winter (January 1&ndash;March 31; 6.6% increase per decade), prespawning (April 1&ndash;May 14; 6.9% increase per decade), and spawning (May 15&ndash;June 15; 4.2% increase per decade) and decreased in summer (June 16&ndash;September 15; 1.9% decrease per decade). Evidence of decreasing April 1 snow water equivalent (5.3% per decade) was also observed. While the impacts of these changes at the population level are equivocal, it is likely that negative effects would influence the subspecies by altering its distribution, decreasing available habitat, and altering the timing of important life history components. Continued monitoring and proactive management will be required to increase the resiliency of remaining populations to ensure long-term persistence and protection in a changing climate.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/00028487.2012.676589","usgsCitation":"Zeigler, M., Todd, A., and Caldwell, C.A., 2012, Evidence of recent climate change within the historic range of Rio Grande cutthroat trout: implications for management and future persistence: Transactions of the American Fisheries Society, v. 141, no. 4, p. 1045-1059, https://doi.org/10.1080/00028487.2012.676589.","productDescription":"15 p.","startPage":"1045","endPage":"1059","ipdsId":"IP-031035","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":259214,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259203,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.676589","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado;New Mexico","volume":"141","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-06-26","publicationStatus":"PW","scienceBaseUri":"505a0d69e4b0c8380cd52fd7","contributors":{"authors":[{"text":"Zeigler, Matthew P.","contributorId":44401,"corporation":false,"usgs":true,"family":"Zeigler","given":"Matthew P.","affiliations":[],"preferred":false,"id":351625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd, Andrew S.","contributorId":33162,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew S.","affiliations":[],"preferred":false,"id":351624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":351623,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038079,"text":"70038079 - 2012 - Flood risk awareness during the 2011 floods in the central United States: showcasing the importance of hydrologic data and interagency collaboration","interactions":[],"lastModifiedDate":"2012-07-28T01:01:41","indexId":"70038079","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2609,"text":"Leadership and Management in Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Flood risk awareness during the 2011 floods in the central United States: showcasing the importance of hydrologic data and interagency collaboration","docAbstract":"Floods have long had a major impact on society and the environment, evidenced by the more than 1,500 federal disaster declarations since 1952 that were associated with flooding. Calendar year 2011 was an epic year for floods in the United States, from the flooding on the Red River of the North in late spring to the Ohio, Mississippi, and Missouri River basin floods in the spring and summer to the flooding caused by Hurricane Irene along the eastern seaboard in August. As a society, we continually seek to reduce flood impacts, with these efforts loosely grouped into two categories: mitigation and risk awareness. Mitigation involves such activities as flood assessment, flood control implementation, and regulatory activities such as storm water and floodplain ordinances. Risk awareness ranges from issuance of flood forecasts and warnings to education of lay audiences about the uncertainties inherent in assessing flood probability and risk. This paper concentrates on the issue of flood risk awareness, specifically the importance of hydrologic data and good interagency communication in providing accurate and timely flood forecasts to maximize risk awareness. The 2011 floods in the central United States provide a case study of the importance of hydrologic data and the value of proper, timely, and organized communication and collaboration around the collection and dissemination of that hydrologic data in enhancing the effectiveness of flood forecasting and flood risk awareness.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Leadership and Management in Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASCE","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)LM.1943-5630.0000181","usgsCitation":"Holmes, R.R., Schwein, N.O., and Shadie, C.E., 2012, Flood risk awareness during the 2011 floods in the central United States: showcasing the importance of hydrologic data and interagency collaboration: Leadership and Management in Engineering, v. 12, no. 3, p. 101-110, https://doi.org/10.1061/(ASCE)LM.1943-5630.0000181.","productDescription":"10 p.","startPage":"101","endPage":"110","numberOfPages":"18","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":474396,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1061/(asce)lm.1943-5630.0000181","text":"Publisher Index Page"},{"id":259220,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259205,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)LM.1943-5630.0000181","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"12","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1150e4b0c8380cd53f62","contributors":{"authors":[{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":463418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwein, Noreen O.","contributorId":14238,"corporation":false,"usgs":true,"family":"Schwein","given":"Noreen","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":463419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shadie, Charles E.","contributorId":21809,"corporation":false,"usgs":true,"family":"Shadie","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":463420,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037757,"text":"70037757 - 2012 - Changes in permeability caused by transient stresses: field observations, experiments, and mechanisms","interactions":[],"lastModifiedDate":"2019-05-30T13:03:48","indexId":"70037757","displayToPublicDate":"2012-07-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Changes in permeability caused by transient stresses: field observations, experiments, and mechanisms","docAbstract":"Oscillations in stress, such as those created by earthquakes, can increase permeability and fluid mobility in geologic media. In natural systems, strain amplitudes as small as 10&ndash;6 can increase discharge in streams and springs, change the water level in wells, and enhance production from petroleum reservoirs. Enhanced permeability typically recovers to prestimulated values over a period of months to years. Mechanisms that can change permeability at such small stresses include unblocking pores, either by breaking up permeability-limiting colloidal deposits or by mobilizing droplets and bubbles trapped in pores by capillary forces. The recovery time over which permeability returns to the prestimulated value is governed by the time to reblock pores, or for geochemical processes to seal pores. Monitoring permeability in geothermal systems where there is abundant seismicity, and the response of flow to local and regional earthquakes, would help test some of the proposed mechanisms and identify controls on permeability and its evolution.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Reviews of Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011RG000382","usgsCitation":"Manga, M., Beresnev, I., Brodsky, E.E., Elkhoury, J.E., Elsworth, D., Ingebritsen, S.E., Mays, D.C., and Wang, C., 2012, Changes in permeability caused by transient stresses: field observations, experiments, and mechanisms: Reviews of Geophysics, v. 50, 24 p.; RG2004, https://doi.org/10.1029/2011RG000382.","productDescription":"24 p.; RG2004","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":474405,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011rg000382","text":"Publisher Index Page"},{"id":259169,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011RG000382","linkFileType":{"id":5,"text":"html"}},{"id":259178,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","noUsgsAuthors":false,"publicationDate":"2012-05-12","publicationStatus":"PW","scienceBaseUri":"5059f41fe4b0c8380cd4bb5e","contributors":{"authors":[{"text":"Manga, Michael","contributorId":66559,"corporation":false,"usgs":true,"family":"Manga","given":"Michael","affiliations":[],"preferred":false,"id":462620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beresnev, Igor","contributorId":11482,"corporation":false,"usgs":true,"family":"Beresnev","given":"Igor","email":"","affiliations":[],"preferred":false,"id":462614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brodsky, Emily E.","contributorId":29660,"corporation":false,"usgs":true,"family":"Brodsky","given":"Emily","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":462616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elkhoury, Jean E.","contributorId":91376,"corporation":false,"usgs":true,"family":"Elkhoury","given":"Jean","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":462621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elsworth, Derek","contributorId":63279,"corporation":false,"usgs":true,"family":"Elsworth","given":"Derek","email":"","affiliations":[],"preferred":false,"id":462619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ingebritsen, Steve E.","contributorId":43639,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steve","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":462618,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mays, David C.","contributorId":34395,"corporation":false,"usgs":true,"family":"Mays","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":462617,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Chi-Yuen","contributorId":20001,"corporation":false,"usgs":true,"family":"Wang","given":"Chi-Yuen","affiliations":[],"preferred":false,"id":462615,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70003866,"text":"70003866 - 2012 - Carbon and sediment accumulation in the Everglades (USA) during the past 4000 years: rates, drivers, and sources of error","interactions":[],"lastModifiedDate":"2013-02-23T22:32:00","indexId":"70003866","displayToPublicDate":"2012-07-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Carbon and sediment accumulation in the Everglades (USA) during the past 4000 years: rates, drivers, and sources of error","docAbstract":"Tropical and sub-tropical wetlands are considered to be globally important sources for greenhouse gases but their capacity to store carbon is presumably limited by warm soil temperatures and high rates of decomposition. Unfortunately, these assumptions can be difficult to test across long timescales because the chronology, cumulative mass, and completeness of a sedimentary profile are often difficult to establish. We therefore made a detailed analysis of a core from the principal drainage outlet of the Everglades of South Florida, to assess these problems and determine the factors that could govern carbon accumulation in this large sub-tropical wetland. Accelerator mass spectroscopy  dating provided direct evidence for both hard-water and open-system sources of dating errors, whereas cumulative mass varied depending upon the type of method used. Radiocarbon dates of gastropod shells, nevertheless, seemed to provide a reliable chronology for this core once the hard-water error was quantified and subtracted. Long-term accumulation rates were then calculated to be 12.1 g m<sup>-2</sup> yr<sup>-1</sup> for carbon, which is less than half the average rate reported for northern and tropical peatlands. Moreover, accumulation rates remained slow and relatively steady for both organic and inorganic strata, and the slow rate of sediment accretion ( 0.2 mm yr<sup>-1</sup>) tracked the correspondingly slow rise in sea level (0.35 mm yr<sup>-1</sup> ) reported for South Florida over the past 4000 years. These results suggest that sea level and the local geologic setting may impose long-term constraints on rates of sediment and carbon accumulation in the Everglades and other wetlands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research G: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011JG001821","usgsCitation":"Glaser, P., Volin, J.C., Givnish, T.J., Hansen, B., and Stricker, C.A., 2012, Carbon and sediment accumulation in the Everglades (USA) during the past 4000 years: rates, drivers, and sources of error: Journal of Geophysical Research G: Biogeosciences, v. 117, no. G3, https://doi.org/10.1029/2011JG001821.","productDescription":"18 p.;","startPage":"G03026","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":259175,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259168,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JG001821","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","city":"Everglades","volume":"117","issue":"G3","noUsgsAuthors":false,"publicationDate":"2012-09-05","publicationStatus":"PW","scienceBaseUri":"5059f35ce4b0c8380cd4b74a","contributors":{"authors":[{"text":"Glaser, Paul H.","contributorId":6705,"corporation":false,"usgs":true,"family":"Glaser","given":"Paul H.","affiliations":[],"preferred":false,"id":349209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Volin, John C.","contributorId":39226,"corporation":false,"usgs":true,"family":"Volin","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":349211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Givnish, Thomas J.","contributorId":49648,"corporation":false,"usgs":true,"family":"Givnish","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":349212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Barbara C. S.","contributorId":21026,"corporation":false,"usgs":true,"family":"Hansen","given":"Barbara C. S.","affiliations":[],"preferred":false,"id":349210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":349208,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039212,"text":"ds695 - 2012 - Concentrations of selected metals in Quaternary-age fluvial deposits along the lower Cheyenne and middle Belle Fourche Rivers, western South Dakota, 2009-10","interactions":[],"lastModifiedDate":"2022-06-08T19:11:34.250622","indexId":"ds695","displayToPublicDate":"2012-07-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"695","title":"Concentrations of selected metals in Quaternary-age fluvial deposits along the lower Cheyenne and middle Belle Fourche Rivers, western South Dakota, 2009-10","docAbstract":"The headwaters of the Cheyenne and Belle Fourche Rivers drain the Black Hills of South Dakota and Wyoming, an area that has been affected by mining and ore-milling operations since the discovery of gold in 1875. A tributary to the Belle Fourche River is Whitewood Creek, which drains the area of the Homestake Mine, a gold mine that operated from 1876 to 2001. Tailings discharged into Whitewood Creek contained arsenopyrite, an arsenic-rich variety of pyrite associated with gold ore, and mercury used as an amalgam during the gold-extraction process. Approximately 18 percent of the tailings that were discharged remain in fluvial deposits on the flood plain along Whitewood Creek, and approximately 25 percent remain in fluvial deposits on the flood plain along the Belle Fourche River, downstream from Whitewood Creek. In 1983, a 29-kilometer (18-mile) reach of Whitewood Creek and the adjacent flood plain was included in the U.S. Environmental Protection Agency's National Priority List of the Comprehensive Environmental Response, Compensation, and Liability Act of 1980, commonly referred to as a \"Superfund site.\" Listing of this reach of Whitewood Creek was primarily in response to arsenic toxicity of fluvial deposits on the flood plain. Lands along the lower Cheyenne River were transferred to adjoining States and Tribes in response to the Water Resources Development Act (WRDA) of 1999. An amendment in 2000 to WRDA required a study of sediment contamination of the Cheyenne River. In response to the WRDA amendment, the U.S. Geological Survey completed field sampling of reference sites (not affected by mine-tailing disposal) along the lower Belle Fourche and lower Cheyenne Rivers. Reference sites were located on stream terraces that were elevated well above historical stream stages to ensure no contamination from historical mining activity. Sampling of potentially contaminated sites was performed on transects of the active flood plain and adjacent terraces that could potentially be inundated during high-flow events. Sampling began in 2009 and was completed in 2010. A total of 74 geochemical samples were collected from fluvial deposits at reference sites, and 473 samples were collected from potentially contaminated sites. Sediment samples collected were analyzed for 23 metals, including arsenic and mercury. Sequential replicate, split duplicate, and field quality-control samples were analyzed for quality assurance of data-collection methods. The metal concentrations in sediment samples and location information are presented in this report in electronic format (Microsoft Excel), along with non-parametric summary statistics of those data. Cross-sectional topography is graphed with arsenic and mercury concentrations on transects at the potentially contaminated sites. The mean arsenic concentration in reference sediment samples was 8 milligrams per kilogram (mg/kg), compared to 250, 650, and 76 mg/kg for potentially contaminated sediment samples at the surface of the middle Belle Fourche River site, the subsurface of the middle Belle Fourche River site, and the surface of the lower Cheyenne River site, respectively. The mean mercury concentration in reference sediment samples was 16 micrograms per kilogram (&mu;g/kg), compared to 130, 370, and 71 &mu;g/kg for potentially contaminated sediment samples at the surface of the middle Belle Fourche River site, the subsurface of the middle Belle Fourche River site, and the surface of the lower Cheyenne River site, respectively.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds695","collaboration":"Prepared in cooperation with the Cheyenne River Sioux Tribe","usgsCitation":"Stamm, J., and Hoogestraat, G., 2012, Concentrations of selected metals in Quaternary-age fluvial deposits along the lower Cheyenne and middle Belle Fourche Rivers, western South Dakota, 2009-10: U.S. Geological Survey Data Series 695, Report: vi, 29 p.; Table 1: Excel file; Table 2: Excel file, https://doi.org/10.3133/ds695.","productDescription":"Report: vi, 29 p.; Table 1: Excel file; Table 2: Excel file","onlineOnly":"Y","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":259158,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/695/ds695.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259164,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_695.JPG"},{"id":259157,"rank":99,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/695/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator, Zone 13","country":"United States","state":"South Dakota","otherGeospatial":"Belle Fourche River;Cheyenne River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.11749999999999,44.06666666666667 ], [ -103.11749999999999,44.56666666666667 ], [ -100,44.56666666666667 ], [ -100,44.06666666666667 ], [ -103.11749999999999,44.06666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f99ae4b0c8380cd4d6bf","contributors":{"authors":[{"text":"Stamm, John F. 0000-0002-3404-2933 jstamm@usgs.gov","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":2859,"corporation":false,"usgs":true,"family":"Stamm","given":"John F.","email":"jstamm@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoogestraat, Galen K.","contributorId":22442,"corporation":false,"usgs":true,"family":"Hoogestraat","given":"Galen K.","affiliations":[],"preferred":false,"id":465792,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039213,"text":"sir20125123 - 2012 - Groundwater quality in the Columbia Plateau, Snake River Plain, and Oahu basaltic-rock and basin-fill aquifers in the Northwestern United States and Hawaii, 1992-2010","interactions":[],"lastModifiedDate":"2016-08-31T17:31:58","indexId":"sir20125123","displayToPublicDate":"2012-07-26T00:00:00","publicationYear":"2012","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":"2012-5123","subseriesTitle":"National Water-Quality Assessment Program","title":"Groundwater quality in the Columbia Plateau, Snake River Plain, and Oahu basaltic-rock and basin-fill aquifers in the Northwestern United States and Hawaii, 1992-2010","docAbstract":"<p>This assessment of groundwater-quality conditions of the Columbia Plateau, Snake River Plain, and Oahu for the period 1992&ndash;2010 is part of the U.S. Geological Survey&rsquo;s National Water Quality Assessment (NAWQA) program. It shows where, when, why, and how specific water-quality conditions occur in groundwater of the three study areas and yields science-based implications for assessing and managing the quality of these water resources. The primary aquifers in the Columbia Plateau, Snake River Plain, and Oahu are mostly composed of fractured basalt, which makes their hydrology and geochemistry similar. In spite of the hydrogeologic similarities, there are climatic differences that affect the agricultural practices overlying the aquifers, which in turn affect the groundwater quality. Understanding groundwater-quality conditions and the natural and human factors that control groundwater quality is important because of the implications to human health, the sustainability of rural agricultural economies, and the substantial costs associated with land and water management, conservation, and&nbsp;regulation.</p>\n<p>The principal regional aquifers of the Columbia Plateau, Snake River Plain, and Oahu are highly vulnerable to contamination by chemicals applied at the land surface; essentially, they are as vulnerable as many shallow surficial aquifers elsewhere. The permeable and largely unconfined character of principal aquifers in the Columbia Plateau, Snake River Plain, and Oahu allow water and chemicals to infiltrate to the water table despite depths to water commonly in the hundreds of feet. The aquifers are essentially unconfined over large areas, having few extensive clay layers to impede infiltration through permeable volcanic rock and alluvial sediments. Agriculture is intensive in all three study areas, and heavy irrigation has imposed large artificial flows of irrigation recharge that rival or exceed natural recharge rates. Fertilizers and pesticides applied at land surface are leached from soil and transported to deep water tables with the infiltrating irrigation recharge, resulting in a layer of degraded water quality overlying better quality regional groundwater beneath. This &ldquo;irrigation-recharge layer&rdquo; is best known on Oahu, where it has been studied since the 1960s; however, the extent of nitrate and pesticide contamination in the Columbia Plateau and Snake River Plain indicate that the same situation exists in those areas. Contamination from agricultural and urban activities is present not only at shallow depths in surficial materials of the three areas, but extends regionally in the deep, principal bedrock aquifers that are tapped for drinking water by domestic and public-supply wells.</p>\n<p>Naturally occurring constituents and nitrate concentrations above human-health benchmarks&mdash;Maximum Contaminant Levels (MCLs), and Health-Based Screening Levels (HBSLs)&mdash;were more common in the Columbia Plateau and the Snake River Plain than in Oahu. Concentrations of anthropogenic constituents (constituents related to human activities) above human-health benchmarks were more common in Oahu. Naturally occurring contaminants, such as arsenic and radon, may be present in groundwater at concentrations of potential concern for human health in relatively undeveloped settings that otherwise may not be perceived as susceptible to contamination. Even though the median depth to groundwater in Oahu is more than 300&nbsp;feet, the common occurrence of anthropogenic compounds in groundwater indicates that Oahu has a high susceptibility to&nbsp;contamination.</p>\n<p>Nitrate concentrations in groundwater were above the national background concentrations of 1 milligram per liter (mg/L) in all three study areas. In the Columbia Plateau, nitrate exceeded the human-health benchmark of 10 mg/L in 20 percent of the wells sampled. In the Snake River Plain, nitrate exceeded the human-health benchmark of 10&nbsp;mg/L in 3 percent of the wells sampled. Nitrate can persist in groundwater for years and even decades in the oxygen-rich groundwater of the Columbia Plateau and the Snake River Plain, so prudent groundwater protection measures are critical to protect drinking water resources by reducing nitrate leaching from the land surface.</p>\n<p>Nitrate logistic regression models indicated that areas with a high percentage of land in crops (such as potatoes or sugarcane) and soils with low amounts of organic matter are most likely to have elevated nitrate concentrations in the groundwater. Areas where agricultural activities were absent had much lower probabilities of detecting elevated nitrate concentrations. The Columbia Plateau had a much higher probability of having elevated nitrate concentrations, with most of the land area having greater than a 50 percent probability of elevated nitrate concentrations. Oahu and the Snake River Plain had a much lower probability of having elevated nitrate concentrations because of their lower percentage of agricultural land.</p>\n<p>Pesticides were detected at many sites in groundwater of the Columbia Plateau, Snake River Plain, and Oahu but generally at low concentrations below human-health benchmarks. Atrazine and its degradate (a compound produced from the breakdown of a parent pesticide), deethylatrazine, were the most commonly detected pesticides in groundwater sampled in the Columbia Plateau and Snake River Plain. Bromacil was the most commonly detected pesticide on Oahu. The other pesticides most commonly detected in the study areas include simazine, hexazinone, metribuzin, diuron, prometon, metolachlor,&nbsp;<i>p,p&rsquo;</i>-DDE, dieldrin, 2-4-D, and alachlor. DDE (a degradate of DDT) and dieldrin are still being detected in groundwater despite having been banned for more than 30 years. Codetection of multiple pesticides in water from a single well was common. The widespread occurrence of pesticides in groundwater in the study areas indicates that the groundwater is highly susceptible to pesticide contamination.</p>\n<p>Some pesticides were detected in groundwater samples from all three study areas, but other pesticides were detected only in samples from Oahu, or only in samples from the Columbia Plateau and Snake River Plain. This is because some pesticides (such as atrazine) are broad-spectrum pesticides that are used on many crops in many different areas of the United States. Other pesticides (such as simazine, metribuzin, and metolachlor) are used on row crops (such as potatoes, barley, and alfalfa) grown in the Columbia Plateau and Snake River Plain, but not on pineapple or sugarcane grown in Oahu.</p>\n<p>Atrazine logistic-regression models indicate that areas with a high percentage of land in crops (such as potatoes or sugarcane), a low percentage of fallow land, and highly permeable soils with low amounts of organic matter are most likely to have atrazine detected in the groundwater. Areas where agricultural activities were absent had much lower probabilities of atrazine being detected. The Snake River Plain had a much higher probability of atrazine detections, with more than 50 percent of the land area having greater than a 50 percent probability of atrazine contamination. Oahu had a much lower probability of atrazine contamination, with only 24 percent of the land area having greater than a 50 percent probability of atrazine contamination.</p>\n<p>Oahu and the Columbia Plateau had some of the highest percentages of soil fumigant detections in groundwater in the United States. Soil fumigants are volatile organic compounds (VOCs) used as pesticides, which are applied to soils to reduce populations of plant parasitic nematodes (harmful rootworms), weeds, fungal pathogens, and other soil-borne microorganisms. They are used in Oahu and the Columbia Plateau on crops such as pineapple and potatoes. All three areas (Columbia Plateau, Snake River Plain, and Oahu) had fumigant concentrations exceeding human-health benchmarks for drinking water.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125123","usgsCitation":"Frans, L.M., Rupert, M.G., Hunt, C.D., and Skinner, K.D., 2012, Groundwater quality in the Columbia Plateau, Snake River Plain, and Oahu basaltic-rock and basin-fill aquifers in the Northwestern United States and Hawaii, 1992-2010: U.S. Geological Survey Scientific Investigations Report 2012-5123, x, 84 p., https://doi.org/10.3133/sir20125123.","productDescription":"x, 84 p.","numberOfPages":"94","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment 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Jr. cdhunt@usgs.gov","contributorId":1730,"corporation":false,"usgs":true,"family":"Hunt","given":"Charles","suffix":"Jr.","email":"cdhunt@usgs.gov","middleInitial":"D.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465796,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038265,"text":"70038265 - 2012 - Combined sewer overflows: an environmental source of hormones and wastewater micropollutants","interactions":[],"lastModifiedDate":"2012-07-27T01:01:50","indexId":"70038265","displayToPublicDate":"2012-07-26T00:00:00","publicationYear":"2012","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":"Combined sewer overflows: an environmental source of hormones and wastewater micropollutants","docAbstract":"Data were collected at a wastewater treatment plant (WWTP) in Burlington, Vermont, USA, (serving 30,000 people) to assess the relative contribution of CSO (combined sewer overflow) bypass flows and treated wastewater effluent to the load of steroid hormones and other wastewater micropollutants (WMPs) from a WWTP to a lake. Flow-weighted composite samples were collected over a 13 month period at this WWTP from CSO bypass flows or plant influent flows (<i>n</i> = 28) and treated effluent discharges (<i>n</i> = 22). Although CSO discharges represent 10% of the total annual water discharge (CSO plus treated plant effluent discharges) from the WWTP, CSO discharges contribute 40&ndash;90% of the annual load for hormones and WMPs with high (>90%) wastewater treatment removal efficiency. By contrast, compounds with low removal efficiencies (<90%) have less than 10% of annual load contributed by CSO discharges. Concentrations of estrogens, androgens, and WMPs generally are 10 times higher in CSO discharges compared to treated wastewater discharges. Compound concentrations in samples of CSO discharges generally decrease with increasing flow because of wastewater dilution by rainfall runoff. By contrast, concentrations of hormones and many WMPs in samples from treated discharges can increase with increasing flow due to decreasing removal efficiency.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es3001294","usgsCitation":"Phillips, P.J., Chalmers, A., Gray, J., Kolpin, D., Foreman, W., and Wall, G.R., 2012, Combined sewer overflows: an environmental source of hormones and wastewater micropollutants: Environmental Science & Technology, v. 46, no. 10, p. 5336-5343, https://doi.org/10.1021/es3001294.","productDescription":"8 p.","startPage":"5336","endPage":"5343","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":474406,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3352270","text":"Publisher Index Page"},{"id":259179,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259171,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es3001294","linkFileType":{"id":5,"text":"html"}}],"volume":"46","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-04-27","publicationStatus":"PW","scienceBaseUri":"5059f7dae4b0c8380cd4cd27","contributors":{"authors":[{"text":"Phillips, P. J.","contributorId":31728,"corporation":false,"usgs":true,"family":"Phillips","given":"P.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":463774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalmers, A.T. 0000-0002-5199-8080","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":63576,"corporation":false,"usgs":true,"family":"Chalmers","given":"A.T.","affiliations":[],"preferred":false,"id":463775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, J.L.","contributorId":18566,"corporation":false,"usgs":true,"family":"Gray","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":463773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, D.W.","contributorId":87565,"corporation":false,"usgs":true,"family":"Kolpin","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":463776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foreman, W.T.","contributorId":94684,"corporation":false,"usgs":true,"family":"Foreman","given":"W.T.","email":"","affiliations":[],"preferred":false,"id":463778,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wall, G. R.","contributorId":93652,"corporation":false,"usgs":true,"family":"Wall","given":"G.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":463777,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039197,"text":"sim3216 - 2012 - Flood-inundation maps for the West Branch Delaware River, Delhi, New York, 2012","interactions":[],"lastModifiedDate":"2012-07-26T01:02:11","indexId":"sim3216","displayToPublicDate":"2012-07-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3216","title":"Flood-inundation maps for the West Branch Delaware River, Delhi, New York, 2012","docAbstract":"Digital flood-inundation maps for a 5-mile reach of the West Branch Delaware River through the Village and part of the Town of Delhi, New York, were created by the U.S. Geological Survey (USGS) in cooperation with the Village of Delhi, the Delaware County Soil and Water Conservation District, and the Delaware County Planning Department. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ and the Federal Flood Inundation Mapper Web site at http://wim.usgs.gov/FIMI/FloodInundationMapper.html, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) referenced to the USGS streamgage at West Branch Delaware River upstream from Delhi, N.Y. (station number 01421900).\r\nIn this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model that had been used to produce the flood insurance rate maps for the most recent flood insurance study for the Town and Village of Delhi. This hydraulic model was used to compute 10 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from 7 ft or near bankfull to 16 ft, which exceeds the stages that correspond to both the estimated 0.2-percent annual-exceedance-probability flood (500-year recurrence interval flood) and the maximum recorded peak flow. The simulated water-surface profiles were then combined with a geographic information system (GIS) digital elevation model, which was derived from Light Detection and Ranging (LiDAR) data with a 1.2-ft (0.61-ft root mean squared error) vertical accuracy and 3.3-ft (1-meter) horizontal resolution, to delineate the area flooded at each water level. A map that was produced using this method to delineate the inundated area for the flood that occurred on August 28, 2011, agreed well with highwater marks that had been located in the field using a global positioning system. The availability of the 10 flood-inundation maps on the USGS Flood Inundation Mapping Science Web site, along with Internet information regarding current stage from the USGS streamgage, will provide emergency management personnel and residents with information that is critical for flood-response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3216","usgsCitation":"Coon, W.F., and Breaker, B.K., 2012, Flood-inundation maps for the West Branch Delaware River, Delhi, New York, 2012: U.S. Geological Survey Scientific Investigations Map 3216, Pamphlet: vi, 9 p.; 10 Sheets; Sheet 1: 17 inches x 22 inches, Sheet 2: 17 inches x 22 inches, Sheet 3: 17 inches x 22 inches, Sheet 4: 17 inches x 22 inches, Sheet 5: 17 inches x 22 inches, Sheet 6: 17 inches x 22 inches, Sheet 7: 17 inches x 22 inches, Sheet 8: 17 inches x 22 inches, Sheet 9: 17 inches x 22 inches, Sheet 10: 17 inches x 22 inches; Downloads Directory, https://doi.org/10.3133/sim3216.","productDescription":"Pamphlet: vi, 9 p.; 10 Sheets; Sheet 1: 17 inches x 22 inches, Sheet 2: 17 inches x 22 inches, Sheet 3: 17 inches x 22 inches, Sheet 4: 17 inches x 22 inches, Sheet 5: 17 inches x 22 inches, Sheet 6: 17 inches x 22 inches, Sheet 7: 17 inches x 22 inches, Sheet 8: 17 inches x 22 inches, Sheet 9: 17 inches x 22 inches, Sheet 10: 17 inches x 22 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":259150,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3216.png"},{"id":259153,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259140,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet01.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259142,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet03.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259143,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet04.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259144,"rank":403,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet05.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259145,"rank":404,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet06.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259149,"rank":405,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet10.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259138,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3216/","linkFileType":{"id":5,"text":"html"}},{"id":259139,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3216/downloads/","linkFileType":{"id":5,"text":"html"}},{"id":259141,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet02.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259146,"rank":406,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet07.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259147,"rank":407,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet08.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259148,"rank":408,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet09.pdf","linkFileType":{"id":1,"text":"pdf"}}],"datum":"North American Datum of 1983","country":"United States","state":"New York","county":"Delaware;Schoharie","city":"Delhi","otherGeospatial":"Catskill Mountain;Elk Creek;Falls Creek;Steele Brook","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.930086,42.258028 ], [ -74.930086,42.303232 ], [ -74.872077,42.303232 ], [ -74.872077,42.258028 ], [ -74.930086,42.258028 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1169e4b0c8380cd53fb4","contributors":{"authors":[{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breaker, Brian K. 0000-0002-1985-4992 bbreaker@usgs.gov","orcid":"https://orcid.org/0000-0002-1985-4992","contributorId":4331,"corporation":false,"usgs":true,"family":"Breaker","given":"Brian","email":"bbreaker@usgs.gov","middleInitial":"K.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465766,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039173,"text":"70039173 - 2012 - Coal-tar-based pavement sealcoat and PAHs: implications for the environment, human health, and stormwater management","interactions":[],"lastModifiedDate":"2020-12-29T20:05:57.911854","indexId":"70039173","displayToPublicDate":"2012-07-24T00:00:00","publicationYear":"2012","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":"Coal-tar-based pavement sealcoat and PAHs: implications for the environment, human health, and stormwater management","docAbstract":"<p><span>Coal-tar-based sealcoat products, widely used in the central and eastern U.S. on parking lots, driveways, and even playgrounds, are typically 20−35% coal-tar pitch, a known human carcinogen that contains about 200 polycyclic aromatic hydrocarbon (PAH) compounds. Research continues to identify environmental compartments—including stormwater runoff, lake sediment, soil, house dust, and most recently, air—contaminated by PAHs from coal-tar-based sealcoat and to demonstrate potential risks to biological communities and human health. In many cases, the levels of contamination associated with sealed pavement are striking relative to levels near unsealed pavement: PAH concentrations in air over pavement with freshly applied coal-tar-based sealcoat, for example, were hundreds to thousands of times higher than those in air over unsealed pavement. Even a small amount of sealcoated pavement can be the dominant source of PAHs to sediment in stormwater-retention ponds; proper disposal of such PAH-contaminated sediment can be extremely costly. Several local governments, the District of Columbia, and the State of Washington have banned use of these products, and several national and regional hardware and home-improvement retailers have voluntarily ceased selling them.</span></p>","language":"English","publisher":"American  Chemical Society","doi":"10.1021/es203699x","usgsCitation":"Mahler, B., Van Metre, P., Crane, J.L., Watts, A.W., Scoggins, M., and Williams, E.S., 2012, Coal-tar-based pavement sealcoat and PAHs: implications for the environment, human health, and stormwater management: Environmental Science & Technology, v. 46, no. 6, p. 3039-3045, https://doi.org/10.1021/es203699x.","productDescription":"7 p.","startPage":"3039","endPage":"3045","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":474407,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3308201","text":"Publisher Index Page"},{"id":381741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-02-13","publicationStatus":"PW","scienceBaseUri":"5059f76be4b0c8380cd4cae8","contributors":{"authors":[{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Metre, Peter C.","contributorId":34104,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","affiliations":[],"preferred":false,"id":465731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crane, Judy L.","contributorId":73048,"corporation":false,"usgs":true,"family":"Crane","given":"Judy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":465733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watts, Alison W.","contributorId":17084,"corporation":false,"usgs":true,"family":"Watts","given":"Alison","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":465729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scoggins, Mateo","contributorId":29908,"corporation":false,"usgs":true,"family":"Scoggins","given":"Mateo","email":"","affiliations":[],"preferred":false,"id":465730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, E. Spencer","contributorId":53640,"corporation":false,"usgs":true,"family":"Williams","given":"E.","email":"","middleInitial":"Spencer","affiliations":[],"preferred":false,"id":465732,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039185,"text":"sir20125130 - 2012 - Development of regional skews for selected flood durations for the Central Valley Region, California, based on data through water year 2008","interactions":[],"lastModifiedDate":"2012-07-25T01:02:05","indexId":"sir20125130","displayToPublicDate":"2012-07-24T00:00:00","publicationYear":"2012","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":"2012-5130","title":"Development of regional skews for selected flood durations for the Central Valley Region, California, based on data through water year 2008","docAbstract":"Flood-frequency information is important in the Central Valley region of California because of the high risk of catastrophic flooding. Most traditional flood-frequency studies focus on peak flows, but for the assessment of the adequacy of reservoirs, levees, other flood control structures, sustained flood flow (flood duration) frequency data are needed. This study focuses on rainfall or rain-on-snow floods, rather than the annual maximum, because rain events produce the largest floods in the region. A key to estimating flood-duration frequency is determining the regional skew for such data. Of the 50 sites used in this study to determine regional skew, 28 sites were considered to have little to no significant regulated flows, and for the 22 sites considered significantly regulated, unregulated daily flow data were synthesized by using reservoir storage changes and diversion records. The unregulated, annual maximum rainfall flood flows for selected durations (1-day, 3-day, 7-day, 15-day, and 30-day) for all 50 sites were furnished by the U.S. Army Corps of Engineers. Station skew was determined by using the expected moments algorithm program for fitting the Pearson Type 3 flood-frequency distribution to the logarithms of annual flood-duration data.\r\nBayesian generalized least squares regression procedures used in earlier studies were modified to address problems caused by large cross correlations among concurrent rainfall floods in California and to address the extensive censoring of low outliers at some sites, by using the new expected moments algorithm for fitting the LP3 distribution to rainfall flood-duration data. To properly account for these problems and to develop suitable regional-skew regression models and regression diagnostics, a combination of ordinary least squares, weighted least squares, and Bayesian generalized least squares regressions were adopted. This new methodology determined that a nonlinear model relating regional skew to mean basin elevation was the best model for each flood duration. The regional-skew values ranged from -0.74 for a flood duration of 1-day and a mean basin elevation less than 2,500 feet to values near 0 for a flood duration of 7-days and a mean basin elevation greater than 4,500 feet. This relation between skew and elevation reflects the interaction of snow and rain, which increases with increased elevation. The regional skews are more accurate, and the mean squared errors are less than in the Interagency Advisory Committee on Water Data's National skew map of Bulletin 17B.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125130","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Lamontagne, J.R., Stedinger, J.R., Berenbrock, C., Veilleux, A.G., Ferris, J.C., and Knifong, D.L., 2012, Development of regional skews for selected flood durations for the Central Valley Region, California, based on data through water year 2008: U.S. Geological Survey Scientific Investigations Report 2012-5130, viii, 35 p. Appendices, https://doi.org/10.3133/sir20125130.","productDescription":"viii, 35 p. Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":259128,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5130.gif"},{"id":259123,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5130/","linkFileType":{"id":5,"text":"html"}},{"id":259124,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5130/pdf/sir20125130.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Central Valley;Sierra Nevada Basins;North Coast Ranges Basins;South Coast Ranges Basins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.54,34.28 ], [ -124.54,42.01 ], [ -116.33,42.01 ], [ -116.33,34.28 ], [ -124.54,34.28 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0061e4b0c8380cd4f725","contributors":{"authors":[{"text":"Lamontagne, Jonathan R. 0000-0003-3976-1678","orcid":"https://orcid.org/0000-0003-3976-1678","contributorId":31640,"corporation":false,"usgs":true,"family":"Lamontagne","given":"Jonathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":465752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stedinger, Jery R.","contributorId":76198,"corporation":false,"usgs":true,"family":"Stedinger","given":"Jery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":465753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berenbrock, Charles","contributorId":30598,"corporation":false,"usgs":true,"family":"Berenbrock","given":"Charles","email":"","affiliations":[],"preferred":false,"id":465751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":465750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferris, Justin C. jcferris@usgs.gov","contributorId":4186,"corporation":false,"usgs":true,"family":"Ferris","given":"Justin","email":"jcferris@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":465749,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knifong, Donna L. dknifong@usgs.gov","contributorId":1517,"corporation":false,"usgs":true,"family":"Knifong","given":"Donna","email":"dknifong@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":465748,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039170,"text":"ofr20121148 - 2012 - Probability and volume of potential postwildfire debris flows in the 2012 High Park Burn Area near Fort Collins, Colorado","interactions":[],"lastModifiedDate":"2012-07-24T01:01:47","indexId":"ofr20121148","displayToPublicDate":"2012-07-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1148","title":"Probability and volume of potential postwildfire debris flows in the 2012 High Park Burn Area near Fort Collins, Colorado","docAbstract":"This report presents a preliminary emergency assessment of the debris-flow hazards from drainage basins burned by the 2012 High Park fire near Fort Collins in Larimer County, Colorado. Empirical models derived from statistical evaluation of data collected from recently burned basins throughout the intermountain western United States were used to estimate the probability of debris-flow occurrence and volume of debris flows along the burned area drainage network and to estimate the same for 44 selected drainage basins along State Highway 14 and the perimeter of the burned area. Input data for the models included topographic parameters, soil characteristics, burn severity, and rainfall totals and intensities for a (1) 2-year-recurrence, 1-hour-duration rainfall (25 millimeters); (2) 10-year-recurrence, 1-hour-duration rainfall (43 millimeters); and (3) 25-year-recurrence, 1-hour-duration rainfall (51 millimeters). Estimated debris-flow probabilities along the drainage network and throughout the drainage basins of interest ranged from 1 to 84 percent in response to the 2-year-recurrence, 1-hour-duration rainfall; from 2 to 95 percent in response to the 10-year-recurrence, 1-hour-duration rainfall; and from 3 to 97 in response to the 25-year-recurrence, 1-hour-duration rainfall. Basins and drainage networks with the highest probabilities tended to be those on the eastern edge of the burn area where soils have relatively high clay contents and gradients are steep. Estimated debris-flow volumes range from a low of 1,600 cubic meters to a high of greater than 100,000 cubic meters. Estimated debris-flow volumes increase with basin size and distance along the drainage network, but some smaller drainages were also predicted to produce substantial volumes of material. The predicted probabilities and some of the volumes predicted for the modeled storms indicate a potential for substantial debris-flow impacts on structures, roads, bridges, and culverts located both within and immediately downstream from the burned area. Colorado State Highway 14 is also susceptible to impacts from debris flows.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121148","collaboration":"Prepared in cooperation with Colorado Department of Transportation","usgsCitation":"Verdin, K.L., Dupree, J.A., and Elliott, J.G., 2012, Probability and volume of potential postwildfire debris flows in the 2012 High Park Burn Area near Fort Collins, Colorado: U.S. Geological Survey Open-File Report 2012-1148, vi, 9 p.; 2 Plates: 87 x 56 cm., https://doi.org/10.3133/ofr20121148.","productDescription":"vi, 9 p.; 2 Plates: 87 x 56 cm.","numberOfPages":"15","onlineOnly":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":259113,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1148.gif"},{"id":259106,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1148/Plate1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259104,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1148/","linkFileType":{"id":5,"text":"html"}},{"id":259105,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1148/OF12-1148.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259107,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1148/Plate2.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Universal Transverse Mercator, Zone 13 North","datum":"North American Datum 1983","country":"United States","state":"Colorado","county":"Larimer","city":"Fort Collins","otherGeospatial":"High Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.53333333333333,40.55 ], [ -105.53333333333333,40.75 ], [ -105.18333333333334,40.75 ], [ -105.18333333333334,40.55 ], [ -105.53333333333333,40.55 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8ca8e4b0c8380cd7e7f3","contributors":{"authors":[{"text":"Verdin, Kristine L. 0000-0002-6114-4660 kverdin@usgs.gov","orcid":"https://orcid.org/0000-0002-6114-4660","contributorId":3070,"corporation":false,"usgs":true,"family":"Verdin","given":"Kristine","email":"kverdin@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":465721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dupree, Jean A. dupree@usgs.gov","contributorId":2563,"corporation":false,"usgs":true,"family":"Dupree","given":"Jean","email":"dupree@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":465720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":465719,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039166,"text":"sir20125113 - 2012 - Methods for determining magnitude and frequency of floods in California, based on data through water year 2006","interactions":[],"lastModifiedDate":"2012-07-24T01:01:47","indexId":"sir20125113","displayToPublicDate":"2012-07-23T00:00:00","publicationYear":"2012","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":"2012-5113","title":"Methods for determining magnitude and frequency of floods in California, based on data through water year 2006","docAbstract":"Methods for estimating the magnitude and frequency of floods in California that are not substantially affected by regulation or diversions have been updated. Annual peak-flow data through water year 2006 were analyzed for 771 streamflow-gaging stations (streamgages) in California having 10 or more years of data. Flood-frequency estimates were computed for the streamgages by using the expected moments algorithm to fit a Pearson Type III distribution to logarithms of annual peak flows for each streamgage. Low-outlier and historic information were incorporated into the flood-frequency analysis, and a generalized Grubbs-Beck test was used to detect multiple potentially influential low outliers. Special methods for fitting the distribution were developed for streamgages in the desert region in southeastern California. Additionally, basin characteristics for the streamgages were computed by using a geographical information system.\r\nRegional regression analysis, using generalized least squares regression, was used to develop a set of equations for estimating flows with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities for ungaged basins in California that are outside of the southeastern desert region. Flood-frequency estimates and basin characteristics for 630 streamgages were combined to form the final database used in the regional regression analysis. Five hydrologic regions were developed for the area of California outside of the desert region. The final regional regression equations are functions of drainage area and mean annual precipitation for four of the five regions. In one region, the Sierra Nevada region, the final equations are functions of drainage area, mean basin elevation, and mean annual precipitation. Average standard errors of prediction for the regression equations in all five regions range from 42.7 to 161.9 percent.\r\nFor the desert region of California, an analysis of 33 streamgages was used to develop regional estimates of all three parameters (mean, standard deviation, and skew) of the log-Pearson Type III distribution. The regional estimates were then used to develop a set of equations for estimating flows with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities for ungaged basins. The final regional regression equations are functions of drainage area. Average standard errors of prediction for these regression equations range from 214.2 to 856.2 percent.\r\nAnnual peak-flow data through water year 2006 were analyzed for eight streamgages in California having 10 or more years of data considered to be affected by urbanization. Flood-frequency estimates were computed for the urban streamgages by fitting a Pearson Type III distribution to logarithms of annual peak flows for each streamgage. Regression analysis could not be used to develop flood-frequency estimation equations for urban streams because of the limited number of sites. Flood-frequency estimates for the eight urban sites were graphically compared to flood-frequency estimates for 630 non-urban sites.\r\nThe regression equations developed from this study will be incorporated into the U.S. Geological Survey (USGS) StreamStats program. The StreamStats program is a Web-based application that provides streamflow statistics and basin characteristics for USGS streamgages and ungaged sites of interest. StreamStats can also compute basin characteristics and provide estimates of streamflow statistics for ungaged sites when users select the location of a site along any stream in California.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125113","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Gotvald, A.J., Barth, N.A., Veilleux, A.G., and Parrett, C., 2012, Methods for determining magnitude and frequency of floods in California, based on data through water year 2006: U.S. Geological Survey Scientific Investigations Report 2012-5113, vi, 30 p.; Appendix, https://doi.org/10.3133/sir20125113.","productDescription":"vi, 30 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":259103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5113.jpg"},{"id":259098,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5113/","linkFileType":{"id":5,"text":"html"}},{"id":259099,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5113/pdf/sir2012-5113.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a55aee4b0c8380cd6d269","contributors":{"authors":[{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barth, Nancy A. nabarth@usgs.gov","contributorId":3276,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":465708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":465709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrett, Charles","contributorId":9635,"corporation":false,"usgs":true,"family":"Parrett","given":"Charles","email":"","affiliations":[],"preferred":false,"id":465710,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039168,"text":"fs20123101 - 2012 - Hydrologic conditions in Georgia, 2010","interactions":[],"lastModifiedDate":"2016-12-07T11:29:15","indexId":"fs20123101","displayToPublicDate":"2012-07-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3101","title":"Hydrologic conditions in Georgia, 2010","docAbstract":"The United States Geological Survey (USGS) Georgia Water Science Center (GaWSC) maintains a long-term hydrologic monitoring network of more than 320 real-time streamgages, including 10 real-time lake-level monitoring stations and 63 real-time water-quality monitors. Additionally, the GaWSC operates more than 180 groundwater wells, 41 of which are real-time. One of the many benefits from this monitoring network is that the data analysis provides an overview of the hydrologic conditions of rivers, creeks, reservoirs, and aquifers in Georgia.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123101","usgsCitation":"Knaak, A.E., Ankcorn, P.D., and Peck, M., 2012, Hydrologic conditions in Georgia, 2010: U.S. Geological Survey Fact Sheet 2012-3101, 6 p., https://doi.org/10.3133/fs20123101.","productDescription":"6 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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mfpeck@usgs.gov","contributorId":1467,"corporation":false,"usgs":true,"family":"Peck","given":"Michael F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":465716,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039123,"text":"70039123 - 2012 - Spatiotemporal patterns and habitat associations of smallmouth bass (Micropterus dolomieu) invading salmon-rearing habitat","interactions":[],"lastModifiedDate":"2017-11-24T17:09:20","indexId":"70039123","displayToPublicDate":"2012-07-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatiotemporal patterns and habitat associations of smallmouth bass (<i>Micropterus dolomieu</i>) invading salmon-rearing habitat","title":"Spatiotemporal patterns and habitat associations of smallmouth bass (Micropterus dolomieu) invading salmon-rearing habitat","docAbstract":"<p>1. Smallmouth bass (<i>Micropterus dolomieu</i>) have been widely introduced to fresh waters throughout the world to promote recreational fishing opportunities. In the Pacific Northwest (U.S.A.), upstream range expansions of predatory bass, especially into subyearling salmon-rearing grounds, are of increasing conservation concern, yet have received little scientific inquiry. Understanding the habitat characteristics that influence bass distribution and the timing and extent of bass and salmon overlap will facilitate the development of management strategies that mitigate potential ecological impacts of bass.</p><p>2. We employed a spatially continuous sampling design to determine the extent of bass and subyearling Chinook salmon (<i>Oncorhynchus tshawytscha</i>) sympatry in the North Fork John Day River (NFJDR), a free-flowing river system in the Columbia River Basin that contains an upstream expanding population of non-native bass. Extensive (i.e. 53&nbsp;km) surveys were conducted over 2&nbsp;years and during an early and late summer period of each year, because these seasons provide a strong contrast in the river’s water temperature and flow condition. Classification and regression trees were applied to determine the primary habitat correlates of bass abundance at reach and channel-unit scales.</p><p>3. Our study revealed that bass seasonally occupy up to 22% of the length of the mainstem NFJDR where subyearling Chinook salmon occur, and the primary period of sympatry between these species was in the early summer and not during peak water temperatures in late summer. Where these species co-occurred, bass occupied 60–76% of channel units used by subyearling Chinook salmon in the early summer and 28–46% of the channel units they occupied in the late summer. Because these rearing salmon were well below the gape limitation of bass, this overlap could result in either direct predation or sublethal effects of bass on subyearling Chinook salmon. The upstream extent of bass increased 10–23&nbsp;km (2009 and 2010, respectively) as stream temperatures seasonally warmed, but subyearling Chinook salmon were also found farther upstream during this time.</p><p>4. Our multiscale analysis suggests that bass were selecting habitat based on antecedent thermal history at a broad scale, and if satisfactory temperature conditions were met, mesoscale habitat features (i.e. channel-unit type and depth) played an additional role in determining bass abundance. The upstream extent of bass in the late summer corresponded to a high-gradient geomorphic discontinuity in the NFJDR, which probably hindered further upstream movements of bass. The habitat determinants and upstream extent of bass were largely consistent across years, despite marked differences in the magnitude and timing of spring peak flows prior to bass spawning.</p><p>5. The overriding influence of water temperature on smallmouth bass distribution suggests that managers may be able limit future upstream range expansions of bass into salmon-rearing habitat by concentrating on restoration activities that mitigate climate- or land-use-related stream warming. These management activities could be prioritised to capitalise on survival bottlenecks in the life history of bass and spatially focused on landscape knick points such as high-gradient discontinuities to discourage further upstream movements of bass.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2427.2012.02847.x","usgsCitation":"Lawrence, D.J., Olden, J., and Torgersen, C., 2012, Spatiotemporal patterns and habitat associations of smallmouth bass (Micropterus dolomieu) invading salmon-rearing habitat: Freshwater Biology, v. 57, no. 9, p. 1929-1946, https://doi.org/10.1111/j.1365-2427.2012.02847.x.","productDescription":"18 p.","startPage":"1929","endPage":"1946","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":259081,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Pacific Northwest","volume":"57","issue":"9","noUsgsAuthors":false,"publicationDate":"2012-07-17","publicationStatus":"PW","scienceBaseUri":"505b94cee4b08c986b31ac5f","contributors":{"authors":[{"text":"Lawrence, David J.","contributorId":34374,"corporation":false,"usgs":true,"family":"Lawrence","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":465645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":465647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":465646,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039135,"text":"tm4F3 - 2012 - TracerLPM (Version 1): An Excel&reg; workbook for interpreting groundwater age distributions from environmental tracer data","interactions":[],"lastModifiedDate":"2023-08-17T19:04:09.341631","indexId":"tm4F3","displayToPublicDate":"2012-07-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"4-F3","title":"TracerLPM (Version 1): An Excel&reg; workbook for interpreting groundwater age distributions from environmental tracer data","docAbstract":"TracerLPM is an interactive Excel&reg; (2007 or later) workbook program for evaluating groundwater age distributions from environmental tracer data by using lumped parameter models (LPMs). Lumped parameter models are mathematical models of transport based on simplified aquifer geometry and flow configurations that account for effects of hydrodynamic dispersion or mixing within the aquifer, well bore, or discharge area. Five primary LPMs are included in the workbook: piston-flow model (PFM), exponential mixing model (EMM), exponential piston-flow model (EPM), partial exponential model (PEM), and dispersion model (DM). Binary mixing models (BMM) can be created by combining primary LPMs in various combinations. Travel time through the unsaturated zone can be included as an additional parameter. TracerLPM also allows users to enter age distributions determined from other methods, such as particle tracking results from numerical groundwater-flow models or from other LPMs not included in this program. Tracers of both young groundwater (anthropogenic atmospheric gases and isotopic substances indicating post-1940s recharge) and much older groundwater (carbon-14 and helium-4) can be interpreted simultaneously so that estimates of the groundwater age distribution for samples with a wide range of ages can be constrained. TracerLPM is organized to permit a comprehensive interpretive approach consisting of hydrogeologic conceptualization, visual examination of data and models, and best-fit parameter estimation. Groundwater age distributions can be evaluated by comparing measured and modeled tracer concentrations in two ways: (1) multiple tracers analyzed simultaneously can be evaluated against each other for concordance with modeled concentrations (tracer-tracer application) or (2) tracer time-series data can be evaluated for concordance with modeled trends (tracer-time application). Groundwater-age estimates can also be obtained for samples with a single tracer measurement at one point in time; however, prior knowledge of an appropriate LPM is required because the mean age is often non-unique. LPM output concentrations depend on model parameters and sample date. All of the LPMs have a parameter for mean age. The EPM, PEM, and DM have an additional parameter that characterizes the degree of age mixing in the sample. BMMs have a parameter for the fraction of the first component in the mixture. An LPM, together with its parameter values, provides a description of the age distribution or the fractional contribution of water for every age of recharge contained within a sample. For the PFM, the age distribution is a unit pulse at one distinct age. For the other LPMs, the age distribution can be much broader and span decades, centuries, millennia, or more. For a sample with a mixture of groundwater ages, the reported interpretation of tracer data includes the LPM name, the mean age, and the values of any other independent model parameters. TracerLPM also can be used for simulating the responses of wells, springs, streams, or other groundwater discharge receptors to nonpoint-source contaminants that are introduced in recharge, such as nitrate. This is done by combining an LPM or user-defined age distribution with information on contaminant loading at the water table. Information on historic contaminant loading can be used to help evaluate a model's ability to match real world conditions and understand observed contaminant trends, while information on future contaminant loading scenarios can be used to forecast potential contaminant trends.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4F3","collaboration":"National Research Program; National Water-Quality Assessment Program","usgsCitation":"Jurgens, B., Böhlke, J., and Eberts, S., 2012, TracerLPM (Version 1): An Excel&reg; workbook for interpreting groundwater age distributions from environmental tracer data: U.S. Geological Survey Techniques and Methods 4-F3, viii, 60 p., https://doi.org/10.3133/tm4F3.","productDescription":"viii, 60 p.","onlineOnly":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":259039,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/4-f3/pdf/tm4-F3.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259056,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_4_f3.jpg"},{"id":259038,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/4-f3/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb68be4b08c986b326d21","contributors":{"authors":[{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":22454,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","affiliations":[],"preferred":false,"id":465667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Böhlke, J.K. 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":96696,"corporation":false,"usgs":true,"family":"Böhlke","given":"J.K.","affiliations":[],"preferred":false,"id":465668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465666,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039116,"text":"sir20125129 - 2012 - Fate and transport of cyanobacteria and associated toxins and taste-and-odor compounds from upstream reservoir releases in the Kansas River, Kansas, September and October 2011","interactions":[],"lastModifiedDate":"2012-07-20T01:01:46","indexId":"sir20125129","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","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":"2012-5129","title":"Fate and transport of cyanobacteria and associated toxins and taste-and-odor compounds from upstream reservoir releases in the Kansas River, Kansas, September and October 2011","docAbstract":"Cyanobacteria cause a multitude of water-quality concerns, including the potential to produce toxins and taste-and-odor compounds. Toxins and taste-and-odor compounds may cause substantial economic and public health concerns and are of particular interest in lakes, reservoirs, and rivers that are used for drinking-water supply, recreation, or aquaculture. The Kansas River is a primary source of drinking water for about 800,000 people in northeastern Kansas. Water released from Milford Lake to the Kansas River during a toxic cyanobacterial bloom in late August 2011 prompted concerns about cyanobacteria and associated toxins and taste-and-odor compounds in downstream drinking-water supplies. During September and October 2011 water-quality samples were collected to characterize the transport of cyanobacteria and associated compounds from upstream reservoirs to the Kansas River. This study is one of the first to quantitatively document the transport of cyanobacteria and associated compounds during reservoir releases and improves understanding of the fate and transport of cyanotoxins and taste-and-odor compounds downstream from reservoirs. Milford Lake was the only reservoir in the study area with an ongoing cyanobacterial bloom during reservoir releases. Concentrations of cyanobacteria and associated toxins and taste-and-odor compounds in Milford Lake (upstream from the dam) were not necessarily indicative of outflow conditions (below the dam). Total microcystin concentrations, one of the most commonly occurring cyanobacterial toxins, in Milford Lake were 650 to 7,500 times higher than the Kansas Department of Health and Environment guidance level for a public health warning (20 micrograms per liter) for most of September 2011. By comparison, total microcystin concentrations in the Milford Lake outflow generally were less than 10 percent of the concentrations in surface accumulations, and never exceeded 20 micrograms per liter. The Republican River, downstream from Milford Lake, was the only Kansas River tributary with detectable microcystin concentrations throughout the study period, and concentrations exceeded 1 microgram per liter for most of September 2011. Microcystin was detected periodically in other tributaries, but concentrations were low (less than 0.3 micrograms per liter). In contrast, the taste-and-odor compounds geosmin and 2-methylisoborneol (MIB) were detected in all tributaries located immediately downstream from reservoirs and total concentrations generally exceeded the human detection threshold (5 to 10 nanograms per liter) from September through mid-October. Microcystin, geosmin, and MIB were not detected in the Smoky Hill River upstream from the confluence with the Republican River that forms the Kansas River. Within a week after initial reservoir releases, microcystin, geosmin, and MIB were detected throughout a 173-mile reach of the Kansas River; these compounds remained detectable throughout the reach until mid-October. Losses to groundwater when streamflows in the Kansas River were increasing indicate the potential for reservoir releases to affect groundwater quality as well as surface-water quality. Total microcystin concentrations in the Kansas River generally were highest within about 24 miles of the confluence of the Smoky Hill and Republican Rivers, and decreased downstream; concentrations exceeded 1 microgram per liter in the Kansas River upstream from Topeka during the first 2 weeks of September. Patterns in microcystin occurrence and concentration at Kansas River tributary and main-stem sites indicate that Milford Lake was the source of microcystin in the Kansas River; however, the source of taste-and-odor compounds was not as evident, possibly because multiple tributaries contributed taste-and-odor compounds to the Kansas River. Microcystin and taste-and-odor compounds co-occurred in 56 percent of samples collected, indicating co-occurrence was common. Despite frequent co-occurrence, the spatial and temporal patterns in microcystin, geosmin, and MIB were unique and did not necessarily match patterns in cyanobacterial abundance. Use of a single compound or cyanobacterial abundance alone cannot necessarily be used as an indicator of the presence or concentration of these compounds. Measured concentrations of cyanobacteria and associated compounds were substantially higher than expected concentrations based on simple dilution models at some sites and substantially lower at others, though spatial and temporal patterns were unique for individual compounds. Data were not collected in such a way to determine whether differences between measured and expected concentrations were statistically significant. Results, however, indicate that simple dilution models were not sufficient to describe the downstream transport of cyanobacteria and associated compounds in the Kansas River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125129","collaboration":"Prepared in cooperation with the City of Lawrence, the City of Topeka, Johnson County WaterOne, the Kansas Water Office, and the Kansas Department of Health and Environment","usgsCitation":"Graham, J.L., Ziegler, A., Loving, B.L., and Loftin, K.A., 2012, Fate and transport of cyanobacteria and associated toxins and taste-and-odor compounds from upstream reservoir releases in the Kansas River, Kansas, September and October 2011: U.S. Geological Survey Scientific Investigations Report 2012-5129, vi, 65 p.; appendices, https://doi.org/10.3133/sir20125129.","productDescription":"vi, 65 p.; appendices","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":259019,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5129.JPG"},{"id":259016,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5129/sir2012-5129.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259014,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5129/","linkFileType":{"id":5,"text":"html"}}],"scale":"2000000","projection":"Albers Equal-area Conic","country":"United States","state":"Kansas","otherGeospatial":"Kansas River;Milford Lake;Republican River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.5,38.5 ], [ -97.5,40 ], [ -94.75,40 ], [ -94.75,38.5 ], [ -97.5,38.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0f08e4b0c8380cd5371c","contributors":{"authors":[{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":465637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loving, Brian L. bloving@usgs.gov","contributorId":4565,"corporation":false,"usgs":true,"family":"Loving","given":"Brian","email":"bloving@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":465640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":465638,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039113,"text":"ofr20121121 - 2012 - Thermal and hydrological observations near Twelvemile Lake in discontinuous permafrost, Yukon Flats, interior Alaska, September 2010-August 2011","interactions":[],"lastModifiedDate":"2018-06-19T19:50:30","indexId":"ofr20121121","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1121","title":"Thermal and hydrological observations near Twelvemile Lake in discontinuous permafrost, Yukon Flats, interior Alaska, September 2010-August 2011","docAbstract":"A series of ground-based observations were made between September 2010 and August 2011 near Twelvemile Lake, 19 kilometers southwest of Fort Yukon, Alaska, for use in ongoing hydrological analyses of watersheds in this region of discontinuous permafrost. Measurements include depth to ground ice, depth to water table, soil texture, soil moisture, soil temperature, and water pressure above the permafrost table. In the drained basin of subsiding Twelvemile Lake, we generally find an absence of newly formed permafrost and an undetectable slope of the water table; however, a sloping water table was observed in the low-lying channels extending into and away from the lake watershed. Datasets for these observations are summarized in this report and can be accessed by clicking on the links in each section or from the Downloads folder of the report Web page.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121121","usgsCitation":"Jepsen, S.M., Koch, J.C., Rose, J.R., Voss, C.I., and Walvoord, M.A., 2012, Thermal and hydrological observations near Twelvemile Lake in discontinuous permafrost, Yukon Flats, interior Alaska, September 2010-August 2011: U.S. Geological Survey Open-File Report 2012-1121, iv, 25 p.; Downloads Directory, https://doi.org/10.3133/ofr20121121.","productDescription":"iv, 25 p.; Downloads Directory","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":259012,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1121.JPG"},{"id":259008,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1121/OF12-1121.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259007,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1121/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Buddy Lake;Twelvemile Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -145.6,66.41666666666667 ], [ -145.6,66.48333333333333 ], [ -145.33333333333334,66.48333333333333 ], [ -145.33333333333334,66.41666666666667 ], [ -145.6,66.41666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb20ee4b08c986b325586","contributors":{"authors":[{"text":"Jepsen, Steven M. sjepsen@usgs.gov","contributorId":3892,"corporation":false,"usgs":true,"family":"Jepsen","given":"Steven","email":"sjepsen@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":465634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":465633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, Joshua R.","contributorId":90147,"corporation":false,"usgs":true,"family":"Rose","given":"Joshua","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":465635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":465632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":465636,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038502,"text":"70038502 - 2012 - Advancing hydroacoustic technologies for sedimentology research and monitoring","interactions":[],"lastModifiedDate":"2018-02-21T13:55:40","indexId":"70038502","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Advancing hydroacoustic technologies for sedimentology research and monitoring","docAbstract":"Presentation at the Joint USGS-CUAHSI Workshop on Sediment Hydroacoustic Techniquesfor Rivers and Streams; Shepherdstown, West Virginia, 20-22 March 2012.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2012EO260007","usgsCitation":"Landers, M., Arrigo, J., and Gray, J.R., 2012, Advancing hydroacoustic technologies for sedimentology research and monitoring: Eos, Transactions, American Geophysical Union, v. 93, no. 26, p. 244-244, https://doi.org/10.1029/2012EO260007.","productDescription":"1 p.","startPage":"244","endPage":"244","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":259022,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259013,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012EO260007","linkFileType":{"id":5,"text":"html"}}],"volume":"93","issue":"26","noUsgsAuthors":false,"publicationDate":"2012-06-26","publicationStatus":"PW","scienceBaseUri":"5059e707e4b0c8380cd477dd","contributors":{"authors":[{"text":"Landers, Mark","contributorId":25404,"corporation":false,"usgs":true,"family":"Landers","given":"Mark","affiliations":[],"preferred":false,"id":464436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arrigo, Jennifer","contributorId":92528,"corporation":false,"usgs":true,"family":"Arrigo","given":"Jennifer","affiliations":[],"preferred":false,"id":464437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, John R. 0000-0002-8817-3701 jrgray@usgs.gov","orcid":"https://orcid.org/0000-0002-8817-3701","contributorId":1158,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jrgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":464435,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039108,"text":"70039108 - 2012 - Cultured fungal associates from the deep-sea coral Lophelia pertusa","interactions":[],"lastModifiedDate":"2012-07-20T01:01:46","indexId":"70039108","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1370,"text":"Deep-Sea Research Part I: Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"title":"Cultured fungal associates from the deep-sea coral Lophelia pertusa","docAbstract":"The cold-water coral Lophelia pertusa provides important habitat to many deep-sea fishes and invertebrates. Studies of the microbial taxa associated with L. pertusa thus far have focused on bacteria, neglecting the microeukaryotic members. This is the first study to culture fungi from living L. pertusa and to investigate carbon source utilization by the fungal associates. Twenty-seven fungal isolates from seven families, including both filamentous and yeast morphotypes, were cultured from healthy L. pertusa colonies collected from the northern Gulf of Mexico, the West Florida Slope, and the western Atlantic Ocean off the Florida coast. Isolates from different sites were phylogenetically closely related, indicating these genera are widely distributed in association with L. pertusa. Biolog&trade; Filamentous Fungi microtiter plates were employed to determine the functional capacity of a subset of isolates to grow on varied carbon sources. While four of the isolates exhibited no growth on any provided carbon source, the rest (<i>n</i>=10) grew on 8.3&ndash;66.7% of carbon sources available. Carbohydrates, carboxylic acids, and amino acids were the most commonly metabolized carbon sources, with overlap between the carbon sources used and amino acids found in L. pertusa mucus. This study represents the first attempt to characterize a microeukaryotic group associated with L. pertusa. However, the functional role of fungi within the coral holobiont remains unclear.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Deep-Sea Research Part I: Oceanographic Research Papers","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.dsr.2012.05.001","usgsCitation":"Galkiewicz, J.P., Stellick, S.H., Gray, M.A., and Kellogg, C.A., 2012, Cultured fungal associates from the deep-sea coral Lophelia pertusa: Deep-Sea Research Part I: Oceanographic Research Papers, v. 67, p. 12-20, https://doi.org/10.1016/j.dsr.2012.05.001.","productDescription":"9 p.","startPage":"12","endPage":"20","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":259011,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259006,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.dsr.2012.05.001","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Of Mexico;Atlantic Ocean","volume":"67","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fd08e4b0c8380cd4e5c8","contributors":{"authors":[{"text":"Galkiewicz, Julia P.","contributorId":61944,"corporation":false,"usgs":true,"family":"Galkiewicz","given":"Julia","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":465627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stellick, Sarah H.","contributorId":99275,"corporation":false,"usgs":true,"family":"Stellick","given":"Sarah","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":465628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Michael A. 0000-0002-3856-5037 mgray@usgs.gov","orcid":"https://orcid.org/0000-0002-3856-5037","contributorId":3532,"corporation":false,"usgs":true,"family":"Gray","given":"Michael","email":"mgray@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":465626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":465625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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