The authors summarize the main findings of the Florida Coastal Everglades Long-Term Ecological Research (FCE-LTER) program in the EMER, within the context of the Comprehensive Everglades Restoration Plan (CERP), to understand how regional processes, mediated by water flow, control population and ecosystem dynamics across the EMER landscape. Tree canopies with maximum height <3 m cover 49% of the EMER, particularly in the SE region. These scrub/dwarf mangroves are the result of a combination of low soil phosphorus (P < 59 μg P g dw−1) in the calcareous marl substrate and long hydroperiod. Phosphorus limits the EMER and its freshwater watersheds due to the lack of terrigenous sediment input and the phosphorus-limited nature of the freshwater Everglades. Reduced freshwater delivery over the past 50 years, combined with Everglades compartmentalization and a 10 cm rise in coastal sea level, has led to the landward transgression (∼1.5 km in 54 years) of the mangrove ecotone. Seasonal variation in freshwater input strongly controls the temporal variation of nitrogen and P exports (99%) from the Everglades to Florida Bay. Rapid changes in nutrient availability and vegetation distribution during the last 50 years show that future ecosystem restoration actions and land use decisions can exert a major influence, similar to sea level rise over the short term, on nutrient cycling and wetland productivity in the EMER.
","language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/10643389.2010.530907","usgsCitation":"Rivera-Monroy, V., Twilley, R.R., Davis, S.E., Childers, D., Simard, M., Chambers, R., Jaffe, R., Boyer, J.N., Rudnick, D.T., Zhang, K., Castañeda-Moya, E., Ewe, S.M., Price, R.M., Coronado-Molina, C., Ross, M., Smith, T.J., Michot, B., Meselhe, E., Nuttle, W., Troxler, T.G., and Noe, G., 2011, The role of the Everglades Mangrove Ecotone Region (EMER) in regulating nutrient cycling and wetland productivity in South Florida: Critical Reviews in Environmental Science and Technology, v. 41, no. Supplement 1, p. 633-669, https://doi.org/10.1080/10643389.2010.530907.","productDescription":"37 p.","startPage":"633","endPage":"669","costCenters":[{"id":284,"text":"Florida Southeast Ecological Science Center","active":false,"usgs":true}],"links":[{"id":204611,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.44439697265624,\n 25.075648445630527\n ],\n [\n -80.43365478515625,\n 25.075648445630527\n ],\n [\n -80.43365478515625,\n 25.88393659458397\n ],\n [\n -81.44439697265624,\n 25.88393659458397\n ],\n [\n -81.44439697265624,\n 25.075648445630527\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"Supplement 1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baf9ae4b08c986b324902","contributors":{"authors":[{"text":"Rivera-Monroy, Victor H.","contributorId":34198,"corporation":false,"usgs":true,"family":"Rivera-Monroy","given":"Victor H.","affiliations":[],"preferred":false,"id":356355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twilley, Robert R.","contributorId":34585,"corporation":false,"usgs":false,"family":"Twilley","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":356356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Stephen E. 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Specific objectives of this study were (1) to determine recharge sources and residence times of groundwater surrounding the mill site, (2) to determine the current concentrations of uranium and associated trace elements in groundwater surrounding the mill site, (3) to differentiate natural and anthropogenic contaminant sources to groundwater resources surrounding the mill site, (4) to assess the solubility and potential for offsite transport of uranium-bearing minerals in groundwater surrounding the mill site, and (5) to use stream sediment and plant material samples from areas surrounding the mill site to identify potential areas of offsite contamination and likely contaminant sources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115231","collaboration":"Prepared in cooperation with the Ute Mountain Ute Tribe and U.S. Environmental Protection Agency (Region 8)","usgsCitation":"Naftz, D.L., Ranalli, A.J., Rowland, R.C., and Marston, T.M., 2011, Assessment of potential migration of radionuclides and trace elements from the White Mesa uranium mill to the Ute Mountain Ute Reservation and surrounding areas, southeastern Utah: U.S. Geological Survey Scientific Investigations Report 2011-5231, Report: x, 75 p.; Executive Summary (Adobe Flash), https://doi.org/10.3133/sir20115231.","productDescription":"Report: x, 75 p.; Executive Summary (Adobe Flash)","numberOfPages":"160","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":116816,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5231.jpg"},{"id":332881,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5231/pdf/sir20115231.pdf"},{"id":115788,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5231/","linkFileType":{"id":5,"text":"html"}},{"id":332882,"rank":4,"type":{"id":1,"text":"Abstract"},"url":"https://pubs.usgs.gov/sir/2011/5231/movie/player.html","text":"Executive Summary (requires Adobe Flash)"}],"country":"United States","state":"Utah","county":"San Juan","city":"Blanding;White Mesa","otherGeospatial":"Ute Mountain Ute Reservation","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.58333333333333,37.333333333333336 ], [ -109.58333333333333,37.75 ], [ -109.33333333333333,37.75 ], [ -109.33333333333333,37.333333333333336 ], [ -109.58333333333333,37.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee4be4b0c8380cd49c9e","contributors":{"authors":[{"text":"Naftz, David L. 0000-0003-1130-6892 dlnaftz@usgs.gov","orcid":"https://orcid.org/0000-0003-1130-6892","contributorId":1041,"corporation":false,"usgs":true,"family":"Naftz","given":"David","email":"dlnaftz@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ranalli, Anthony J. tranalli@usgs.gov","contributorId":1195,"corporation":false,"usgs":true,"family":"Ranalli","given":"Anthony","email":"tranalli@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":356296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, Ryan C. rrowland@usgs.gov","contributorId":3606,"corporation":false,"usgs":true,"family":"Rowland","given":"Ryan","email":"rrowland@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":356298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marston, Thomas M. 0000-0003-1053-4172 tmarston@usgs.gov","orcid":"https://orcid.org/0000-0003-1053-4172","contributorId":3272,"corporation":false,"usgs":true,"family":"Marston","given":"Thomas","email":"tmarston@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356297,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70004671,"text":"70004671 - 2011 - Wastewater dilution index partially explains observed polybrominated diphenyl ether flame retardant concentrations in osprey eggs from Columbia River Basin, 2008-2009","interactions":[],"lastModifiedDate":"2020-01-13T06:24:03","indexId":"70004671","displayToPublicDate":"2012-02-05T10:29:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Wastewater dilution index partially explains observed polybrominated diphenyl ether flame retardant concentrations in osprey eggs from Columbia River Basin, 2008-2009","docAbstract":"Several polybrominated biphenyl ether (PBDE) congeners were found in all 175 osprey (Pandion haliaetus) eggs collected from the Columbia River Basin between 2002 and 2009. ΣPBDE concentrations in 2008–2009 were highest in osprey eggs from the two lowest flow rivers studied; however, each river flowed through relatively large and populous metropolitan areas (Boise, Idaho and Spokane, Washington). We used the volume of Wastewater Treatment Plant (WWTP) discharge, a known source of PBDEs, as a measure of human activity at a location, and combined with river flow (both converted to millions of gallons/day) created a novel approach (an approximate Dilution Index) to relate waterborne contaminants to levels of these contaminants that reach avian eggs. This approach provided a useful understanding of the spatial osprey egg concentration patterns observed. Individual osprey egg concentrations along the Upper Willamette River co-varied with the Dilution Index, while combined egg data (geometric means) from rivers or segments of rivers showed a strong, significant relationship to the Dilution Index with one exception, the Boise River. There, we believe osprey egg concentrations were lower than expected because Boise River ospreys foraged perhaps 50–75% of the time off the river at ponds and lakes stocked with fish that contained relatively low ΣPBDE concentrations. Our limited temporal data at specific localities (2004–2009) suggests that ΣPBDE concentrations in osprey eggs peaked between 2005 and 2007, and then decreased, perhaps in response to penta- and octa-PBDE technical mixtures no longer being used in the USA after 2004. Empirical estimates of biomagnification factors (BMFs) from fish to osprey eggs were 3.76–7.52 on a wet weight (ww) basis or 4.37–11.0 lipid weight. Our earlier osprey study suggested that ΣPBDE egg concentrations >1,000 ng/g ww may reduce osprey reproductive success. Only two of the study areas sampled in 2008–2009 contained individual eggs with ΣPBDE concentrations >1,000 ng/g, and non-significant (P > 0.30) negative relationships were found between ΣPBDEs and reproductive success. Additional monitoring is required to confirm not only the apparent decline in PBDE concentrations in osprey eggs that occurred during this study, but also to better understand the relationship between PBDEs in eggs and reproductive success.","language":"English","publisher":"Springer","doi":"10.1007/s10646-011-0608-2","usgsCitation":"Henny, C.J., Grove, R.A., Kaiser, J.L., Johnson, B., Furl, C.V., and Letcher, R., 2011, Wastewater dilution index partially explains observed polybrominated diphenyl ether flame retardant concentrations in osprey eggs from Columbia River Basin, 2008-2009: Ecotoxicology, v. 20, no. 4, p. 682-697, https://doi.org/10.1007/s10646-011-0608-2.","productDescription":"16 p.","startPage":"682","endPage":"697","numberOfPages":"16","temporalStart":"2002-01-01","temporalEnd":"2009-12-01","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":204689,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Columbia River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.3212890625,\n 45.089035564831015\n ],\n [\n -119.2236328125,\n 43.389081939117496\n ],\n [\n -113.3349609375,\n 41.86956082699455\n ],\n [\n -110.91796875,\n 44.402391829093915\n ],\n [\n -114.30175781249999,\n 47.45780853075031\n ],\n [\n -118.82812499999997,\n 48.07807894349862\n ],\n [\n -123.61816406249997,\n 47.18971246448421\n ],\n [\n -124.3212890625,\n 45.089035564831015\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-02-22","publicationStatus":"PW","scienceBaseUri":"505bc3fae4b08c986b32b434","contributors":{"authors":[{"text":"Henny, Charles J. 0000-0001-7474-350X hennyc@usgs.gov","orcid":"https://orcid.org/0000-0001-7474-350X","contributorId":3461,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"hennyc@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":779347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grove, Robert A.","contributorId":52134,"corporation":false,"usgs":true,"family":"Grove","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":351072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaiser, James L.","contributorId":57033,"corporation":false,"usgs":true,"family":"Kaiser","given":"James","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":351073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Branden L. branden_johnson@usgs.gov","contributorId":4168,"corporation":false,"usgs":true,"family":"Johnson","given":"Branden L.","email":"branden_johnson@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":351068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furl, Chad V.","contributorId":28365,"corporation":false,"usgs":true,"family":"Furl","given":"Chad","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":351071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Letcher, Robert J.","contributorId":25292,"corporation":false,"usgs":true,"family":"Letcher","given":"Robert J.","affiliations":[],"preferred":false,"id":351070,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70007297,"text":"ofr20111319 - 2011 - Geophysical, stratigraphic, and flow-zone logs of selected wells in Cayuga County, New York, 2001–2011","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"ofr20111319","displayToPublicDate":"2012-02-01T10:29:00","publicationYear":"2011","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":"2011-1319","title":"Geophysical, stratigraphic, and flow-zone logs of selected wells in Cayuga County, New York, 2001–2011","docAbstract":"Geophysical logs were collected and analyzed along with bedrock core samples and bedrock outcrops to define the bedrock stratigraphy and flow zones penetrated by 93 monitor and water-supply wells in Cayuga County, New York. The work was completed from 2001 through 2011 as part of an investigation of volatile-organic compound contamination in the carbonate-bedrock aquifer system between Auburn and Union Springs. The borehole logs included gamma, caliper, wellbore image, fluid property, and flow logs. The log information was used with bedrock core samples to define the regional stratigraphy, evaluate flow zones within the bedrock aquifers, and develop and implement a multilevel monitoring design for groundwater levels and water quality within the study area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111319","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Eckhardt, D., Williams, J., and Anderson, J., 2011, Geophysical, stratigraphic, and flow-zone logs of selected wells in Cayuga County, New York, 2001–2011: U.S. Geological Survey Open-File Report 2011-1319, vi, 12 p.; Appendix, https://doi.org/10.3133/ofr20111319.","productDescription":"vi, 12 p.; Appendix","onlineOnly":"Y","temporalStart":"2001-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116874,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1319.gif"},{"id":115771,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1319/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","county":"Cayuga","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.71666666666667,42.8 ], [ -76.71666666666667,42.950833333333335 ], [ -8.050833333333333,42.950833333333335 ], [ -8.050833333333333,42.8 ], [ -76.71666666666667,42.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a288fe4b0c8380cd5a1fb","contributors":{"authors":[{"text":"Eckhardt, David A.V.","contributorId":80233,"corporation":false,"usgs":true,"family":"Eckhardt","given":"David A.V.","affiliations":[],"preferred":false,"id":356245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, J. 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The ecosystem service valuation is carried out by comparing the biophysical and economic values of three focal services (i.e. carbon sequestration, reduction in sedimentation, and waterfowl production) across three focal land uses in the region [i.e. native prairie grasslands, lands enrolled in the Conservation Reserve and Wetlands Reserve Programs (CRP/WRP), and cropland]. This study finds that CRP/WRP lands cannot mitigate (hectare for hectare) the loss of native prairie from a social welfare standpoint. Land use scenarios where native prairie loss was minimized, and CRP/WRP lands were increased, provided the most societal benefit. The scenario modeling projected native prairie conversion to cropland over the next 20 years would result in a social welfare loss valued at over $4 billion when considering the study's three ecosystem services, and a net loss of about $3.4 billion when reductions in commodity production are accounted for.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Economics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecolecon.2011.04.010","usgsCitation":"Gascoigne, W.R., Hoag, D., Koontz, L., Tangen, B., Shaffer, T.L., and Gleason, R.A., 2011, Valuing ecosystem and economic services across land-use scenarios in the Prairie Pothole Regions of the Dakotas, USA: Ecological Economics, v. 70, no. 10, p. 1715-1725, https://doi.org/10.1016/j.ecolecon.2011.04.010.","productDescription":"11 p.","startPage":"1715","endPage":"1725","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":115770,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.ecolecon.2011.04.010","linkFileType":{"id":5,"text":"html"}},{"id":204708,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota;South Dakota","otherGeospatial":"Prairie Pothole Region","volume":"70","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc10ee4b08c986b32a42e","contributors":{"authors":[{"text":"Gascoigne, William R.","contributorId":30104,"corporation":false,"usgs":true,"family":"Gascoigne","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":348245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoag, Dana","contributorId":77809,"corporation":false,"usgs":true,"family":"Hoag","given":"Dana","affiliations":[],"preferred":false,"id":348246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":348242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tangen, Brian A.","contributorId":78419,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian A.","affiliations":[],"preferred":false,"id":348247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":348244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gleason, Robert A. 0000-0001-5308-8657 rgleason@usgs.gov","orcid":"https://orcid.org/0000-0001-5308-8657","contributorId":2402,"corporation":false,"usgs":true,"family":"Gleason","given":"Robert","email":"rgleason@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":348243,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70006311,"text":"70006311 - 2011 - An exploratory investigation of polar organic compounds in waters from a lead–zinc mine and mill complex","interactions":[],"lastModifiedDate":"2020-01-11T10:23:20","indexId":"70006311","displayToPublicDate":"2012-01-30T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"An exploratory investigation of polar organic compounds in waters from a lead–zinc mine and mill complex","docAbstract":"Surface water samples were collected in 2006 from a lead mine-mill complex in Missouri to investigate possible organic compounds coming from the milling process. Water samples contained relatively high concentrations of dissolved organic carbon (DOC; greater than 20 mg/l) for surface waters but were colorless, implying a lack of naturally occurring aquatic humic or fulvic acids. Samples were extracted by three different types of solid-phase extraction and analyzed by electrospray ionization/mass spectrometry. Because large amounts of xanthate complexation reagents are used in the milling process, techniques were developed to extract and analyze for sodium isopropyl xanthate and sodium ethyl xanthate. Although these xanthate reagents were not found, trace amounts of the degradates, isopropyl xanthyl thiosulfonate and isopropyl xanthyl sulfonate, were found in most locations sampled, including the tailings pond downstream. Dioctyl sulfosuccinate, a surfactant and process filtering aid, was found at concentrations estimated at 350 μg/l at one mill outlet, but not downstream. Release of these organic compounds downstream from lead-zinc mine and milling areas has not previously been reported. A majority of the DOC remains unidentified.","language":"English","publisher":"Springer","doi":"10.1007/s11270-010-0598-3","usgsCitation":"Rostad, C.E., Schmitt, C.J., Schumacher, J., and Leiker, T.J., 2011, An exploratory investigation of polar organic compounds in waters from a lead–zinc mine and mill complex: Water, Air, & Soil Pollution, v. 217, no. 1-4, p. 431-443, https://doi.org/10.1007/s11270-010-0598-3.","productDescription":"13 p.","startPage":"431","endPage":"443","numberOfPages":"12","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":204691,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"217","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2010-09-11","publicationStatus":"PW","scienceBaseUri":"5059ea6be4b0c8380cd4884e","contributors":{"authors":[{"text":"Rostad, Colleen E. cerostad@usgs.gov","contributorId":833,"corporation":false,"usgs":true,"family":"Rostad","given":"Colleen","email":"cerostad@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":354288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmitt, Christopher J. 0000-0001-6804-2360 cjschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6804-2360","contributorId":491,"corporation":false,"usgs":true,"family":"Schmitt","given":"Christopher","email":"cjschmitt@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":354287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schumacher, John G. jschu@usgs.gov","contributorId":2055,"corporation":false,"usgs":true,"family":"Schumacher","given":"John G.","email":"jschu@usgs.gov","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":354289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leiker, Thomas J.","contributorId":47805,"corporation":false,"usgs":true,"family":"Leiker","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":354290,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70003977,"text":"70003977 - 2011 - Variability of albedo and utility of the MODIS albedo product in forested wetlands","interactions":[],"lastModifiedDate":"2012-02-07T00:10:04","indexId":"70003977","displayToPublicDate":"2012-01-29T11:40:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Variability of albedo and utility of the MODIS albedo product in forested wetlands","docAbstract":"Albedo was monitored over a two-year period (beginning April 2008) at three forested wetland sites in Florida, USA using up- and down-ward facing pyranometers. Water level, above and below land surface, is the primary control on the temporal variability of daily albedo. Relatively low reflectivity of water accounts for the observed reductions in albedo with increased inundation of the forest floor. Enhanced canopy shading of the forest floor was responsible for lower sensitivity of albedo to water level at the most dense forest site. At one site, the most dramatic reduction in daily albedo was observed during the inundation of a highly-reflective, calcareous periphyton-covered land surface. Satellite-based Moderate-Resolution Imaging Spectroradiometer (MODIS) estimates of albedo compare favorably with measured albedo. Use of MODIS albedo values in net radiation computations introduced a root mean squared error of less than 4.7 W/m2 and a mean, annual bias of less than 2.3 W/m2 (1.7%). These results suggest that MODIS-estimated albedo values can reliably be used to capture areal and temporal variations in albedo that are important to the surface energy balance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s13157-011-0161-z","usgsCitation":"Sumner, D.M., Wu, Q., and Pathak, C.S., 2011, Variability of albedo and utility of the MODIS albedo product in forested wetlands: Wetlands, v. 31, no. 2, p. 229-237, https://doi.org/10.1007/s13157-011-0161-z.","productDescription":"9 p.","startPage":"229","endPage":"237","temporalStart":"2008-04-01","temporalEnd":"2010-03-31","costCenters":[{"id":279,"text":"Florida Integrated Science Center-Orlando","active":false,"usgs":true}],"links":[{"id":115772,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1007/s13157-011-0161-z","linkFileType":{"id":5,"text":"html"}},{"id":204694,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-03","publicationStatus":"PW","scienceBaseUri":"505bc134e4b08c986b32a4a6","contributors":{"authors":[{"text":"Sumner, David M. 0000-0002-2144-9304 dmsumner@usgs.gov","orcid":"https://orcid.org/0000-0002-2144-9304","contributorId":1362,"corporation":false,"usgs":true,"family":"Sumner","given":"David","email":"dmsumner@usgs.gov","middleInitial":"M.","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true},{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Qinglong","contributorId":63950,"corporation":false,"usgs":true,"family":"Wu","given":"Qinglong","affiliations":[],"preferred":false,"id":350007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pathak, Chandra S.","contributorId":84507,"corporation":false,"usgs":true,"family":"Pathak","given":"Chandra","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":350008,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70007214,"text":"ds617 - 2011 - EAARL topography-Potato Creek watershed, Georgia, 2010","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ds617","displayToPublicDate":"2012-01-25T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"617","title":"EAARL topography-Potato Creek watershed, Georgia, 2010","docAbstract":"This DVD contains lidar-derived first-surface (FS) and bare-earth (BE) topography GIS datasets of a portion of the Potato Creek watershed in the Apalachicola-Chattahoochee-Flint River basin, Georgia. These datasets were acquired on February 27, 2010.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds617","usgsCitation":"Bonisteel-Cormier, J., Nayegandhi, A., Fredericks, X., Jones, J.W., Wright, C.W., Brock, J.C., and Nagle, D., 2011, EAARL topography-Potato Creek watershed, Georgia, 2010: U.S. Geological Survey Data Series 617, 1 DVD, https://doi.org/10.3133/ds617.","productDescription":"1 DVD","temporalStart":"2010-02-27","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":116382,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_617.png"},{"id":115700,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/617/index.html","linkFileType":{"id":5,"text":"html"}}],"state":"Georgia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.41666666666667,32.666666666666664 ], [ -84.41666666666667,33.25 ], [ -84.16666666666667,33.25 ], [ -84.16666666666667,32.666666666666664 ], [ -84.41666666666667,32.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0450e4b0c8380cd508c9","contributors":{"authors":[{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":356086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":356089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":356087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, J. W.","contributorId":89233,"corporation":false,"usgs":true,"family":"Jones","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":356092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, C. W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":356091,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brock, J. C.","contributorId":36095,"corporation":false,"usgs":true,"family":"Brock","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":356088,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagle, D.B.","contributorId":40568,"corporation":false,"usgs":true,"family":"Nagle","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":356090,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70007221,"text":"sim3176 - 2011 - Bathymetric survey of Carroll Creek Tributary to Lake Tuscaloosa, Tuscaloosa County, Alabama, 2010","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"sim3176","displayToPublicDate":"2012-01-25T00:00:00","publicationYear":"2011","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":"3176","title":"Bathymetric survey of Carroll Creek Tributary to Lake Tuscaloosa, Tuscaloosa County, Alabama, 2010","docAbstract":"The U.S. Geological Survey, in cooperation with the City of Tuscaloosa, conducted a bathymetric survey of Carroll Creek, on May 12-13, 2010. Carroll Creek is one of the major tributaries to Lake Tuscaloosa and contributes about 6 percent of the surface drainage area. A 3.5-mile reach of Carroll Creek was surveyed to prepare a current bathymetric map, determine storage capacities at specified water-surface elevations, and compare current conditions to historical cross sections. Bathymetric data were collected using a high-resolution interferometric mapping system consisting of a phase-differencing bathymetric sonar, navigation and motion-sensing system, and a data acquisition computer. To assess the accuracy of the interferometric mapping system and document depths in shallow areas of the study reach, an electronic total station was used to survey 22 cross sections spaced 50 feet apart. The data were combined and processed and a Triangulated Irregular Network (TIN) and contour map were generated. Cross sections were extracted from the TIN and compared with historical cross sections. Between 2004 and 2010, the area (cross section 1) at the confluence of Carroll Creek and the main run of LakeTuscaloosa showed little to no change in capacity area. Another area (cross section 2) showed a maximum change in elevation of 4 feet and an average change of 3 feet. At the water-surface elevation of 224 feet (National Geodetic Vertical Datum of 1929), the cross-sectional area has changed by 260 square feet for a total loss of 28 percent of cross-sectional storage area. The loss of area may be attributed to sedimentation in Carroll Creek and (or) the difference in accuracy between the two surveys.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3176","collaboration":"Prepared in cooperation with the City of Tuscaloosa","usgsCitation":"Lee, K., and Kimbrow, D., 2011, Bathymetric survey of Carroll Creek Tributary to Lake Tuscaloosa, Tuscaloosa County, Alabama, 2010: U.S. Geological Survey Scientific Investigations Map 3176, 1 Sheet: 34 inches x 32 inches, https://doi.org/10.3133/sim3176.","productDescription":"1 Sheet: 34 inches x 32 inches","temporalStart":"2010-05-12","temporalEnd":"2010-05-13","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":116379,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3176.jpg"},{"id":115706,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3176/","linkFileType":{"id":5,"text":"html"}}],"state":"Alabama","county":"Tuscaloosa","otherGeospatial":"Lake Tuscaloosa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.56666666666666,33.28333333333333 ], [ -87.56666666666666,33.333333333333336 ], [ -87.53333333333333,33.333333333333336 ], [ -87.53333333333333,33.28333333333333 ], [ -87.56666666666666,33.28333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f010e4b0c8380cd4a5a1","contributors":{"authors":[{"text":"Lee, K.G.","contributorId":28319,"corporation":false,"usgs":true,"family":"Lee","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":356130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimbrow, D.R.","contributorId":25702,"corporation":false,"usgs":true,"family":"Kimbrow","given":"D.R.","affiliations":[],"preferred":false,"id":356129,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007204,"text":"ofr20111265 - 2011 - Impact of mine and natural sources of mercury on water, sediment, and biota in Harley Gulch adjacent to the Abbott-Turkey Run mine, Lake County, California","interactions":[],"lastModifiedDate":"2022-01-19T15:08:05.776269","indexId":"ofr20111265","displayToPublicDate":"2012-01-24T00:00:00","publicationYear":"2011","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":"2011-1265","title":"Impact of mine and natural sources of mercury on water, sediment, and biota in Harley Gulch adjacent to the Abbott-Turkey Run mine, Lake County, California","docAbstract":"Executive Summary
Stable-isotope data indicate that there are three sources of water that effect the composition and Hg concentration of waters in Harley Gulch: (1) meteoric water that dominates water chemistry during the wet season; (2) thermal water effluent from the Turkey Run mine that effects the chemistry at sample site HG1; and (3) cold connate groundwater that dominates water chemistry during the dry season as it upwells and reaches the surface. The results from sampling executed for this study suggest four distinct areas in Harley Gulch: (1) the contaminated West Fork of Harley Gulch, consisting of the stream immediately downstream from the mine area and the wetlands upstream from Harley Gulch canyon (sample sites HG1-HG2, (2) the East Fork of Harley Gulch, where no mining has occurred (sample site HG3), (3) sample sites HG4-HG7, where a seasonal influx of saline groundwater alters stream chemistry, and (4) sample sites HG7-HG10, downstream in Harley Gulch towards the confluence with Cache Creek.
West Fork: Mine Area and Wetlands
The concentration of Hg in both storm sediment and active channel sediment was highest at sample site HG1, immediately downstream from the mine. The highest concentrations of total Hg (HgT) in water also occurred at site HG1, and they decreased systematically downstream from the mine. The high concentration of HgT at site HG1 reflects input of thermal-water effluent from the Turkey Run mine which comprises most of the flow at this site during the dry season. During the May 2011 low-flow sampling, HgT concentration was very high at site HG1, but the maximum in HgT concentration occurred at sample site HG1.5 in the middle of the wetland area. The high concentration of HgT and isotopic chemistry at this site indicates that a significant input of connate groundwater into the creek at this location contributes to the high Hg concentration in water. At site HG1, just downstream from the thermal water input from the Turkey Run mine, water sampled in June 2010 was almost entirely composed of thermal-water effluent. During the storm sampling in March 2011, which resulted in the highest flows of the winter, thermal effluent was virtually undetectable at site HG1, and the water was all meteoric. During the May 2011 sampling event, the input of connate groundwater in the middle of the wetland area at site HG1.5 was dominant. Discharge from the adit and runoff from the mine contributes to the high Hg concentration at site HG1 under both high and low-flow conditions.
East Fork: Background
Hg levels in waters collected from the East Fork of Harley Gulch, where no mining has occurred, were as high as 32.8 parts per trillion (pptr). These levels of Hg in water are significantly higher than regional background Hg concentrations, which range from 4-7 pptr. These anomalous Hg concentrations are partially explained by the abundance of Hg-enriched groundwater in Harley Gulch.
Sites HG4-HG7
Downstream from the wetland, the aqueous concentration of HgT decreased, but remained above background levels as another input of connate groundwater occurs in the creek segment between sample sites HG4 and HG7. The input of connate groundwater in this segment of the creek is reflected in the increase in dissolved constituents characteristic of the connate groundwater, such as sulfate (SO4), chloride (Cl) and magnesium (Mg). Stable-isotope data for heavy isotopes d18O and d2D also confirm two areas of input of connate groundwater into Harley Gulch: the creek segment in the West Fork near sample site HG1.5 and the segment between sample sites HG4 and HG7. Downstream from the second area of input of connate groundwater, both HgF and HgT concentrations decrease similarly, but the percentage of Hg in the filtered fraction increases. The decreases in HgT and HgF between sample sites HG5 and HG7 suggests that this second source of connate groundwater to Harley Gulch is distinct from the Hg-enriched source that enters the middle of the wetlands at sample site HG1.5. During low-flow conditions in June 2010, input of connate groundwater increased from sample site HG4 and reached a maximum near sample site HG7, where it dominated creek water chemistry. Waters collected from sample site HG7 during the June 2010 sampling event were the heaviest isotopically and contained high concentrations of Cl and SO4, constituents that are characteristically high in the connate groundwater. Both above and below sample site HG7, the amount of connate groundwater in the creek water decreased.
Sites HG8-HG10
Sediment with high Hg concentration is present throughout the West Fork of Harley Gulch below the mine and in the upper part of the Harley Gulch main stem to just above sample site HG10. At the sample site furthest downstream, HG10, Hg concentration is at background levels, as are cobalt (Co), nickel (Ni), and tungsten (W), indicating that the sediment is not significantly contaminated with Hg from the mine.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111265","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Rytuba, J.J., Hothem, R.L., Brussee, B.E., and Goldstein, D., 2011, Impact of mine and natural sources of mercury on water, sediment, and biota in Harley Gulch adjacent to the Abbott-Turkey Run mine, Lake County, California: U.S. Geological Survey Open-File Report 2011-1265, ix, 105 p., https://doi.org/10.3133/ofr20111265.","productDescription":"ix, 105 p.","onlineOnly":"Y","costCenters":[{"id":663,"text":"Western Mineral and Environmental Resources Science Center-Menlo Park Office","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":116447,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1265.gif"},{"id":115690,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1265/","linkFileType":{"id":5,"text":"html"}},{"id":394515,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1265/of2011-1265.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"California","county":"Lake County","otherGeospatial":"Harley Gulch","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.47550010681154,\n 38.98630040014555\n ],\n [\n -122.46953487396239,\n 38.98913576852135\n ],\n [\n -122.46584415435791,\n 38.99210444428017\n ],\n [\n -122.46232509613036,\n 38.99610695603966\n ],\n [\n -122.45932102203369,\n 38.99847500223872\n ],\n [\n -122.45584487915039,\n 38.99994248405357\n ],\n [\n -122.45090961456299,\n 39.000642862372096\n ],\n [\n -122.44996547698975,\n 39.00231040189239\n ],\n [\n -122.44528770446779,\n 39.003977902109774\n ],\n [\n -122.4415111541748,\n 39.0037444544454\n ],\n [\n -122.44013786315918,\n 39.004478144510884\n ],\n [\n -122.43631839752197,\n 39.003777804158915\n ],\n [\n -122.43498802185059,\n 39.00371110471618\n ],\n [\n -122.42915153503418,\n 39.00727943658698\n ],\n [\n -122.4305248260498,\n 39.00941367990123\n ],\n [\n -122.43348598480225,\n 39.00948037396715\n ],\n [\n -122.43614673614502,\n 39.00954706797022\n ],\n [\n -122.44155406951904,\n 39.00797974227288\n ],\n [\n -122.4439573287964,\n 39.00864669362303\n ],\n [\n -122.44949340820312,\n 39.0077463078146\n ],\n [\n -122.451810836792,\n 39.0061455936338\n ],\n [\n -122.45803356170654,\n 39.004344746883135\n ],\n [\n -122.46138095855713,\n 39.00524517598894\n ],\n [\n -122.46442794799805,\n 39.003177506910475\n ],\n [\n -122.46743202209471,\n 39.00117647929471\n ],\n [\n -122.46923446655273,\n 38.99854170661785\n ],\n [\n -122.47047901153564,\n 38.997441076321095\n ],\n [\n -122.47116565704346,\n 38.996307075685365\n ],\n [\n -122.47318267822266,\n 38.99410572845627\n ],\n [\n -122.47464179992674,\n 38.992304575244454\n ],\n [\n -122.47610092163085,\n 38.99003639117867\n ],\n [\n -122.47871875762938,\n 38.98860206079838\n ],\n [\n -122.47550010681154,\n 38.98630040014555\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a38c1e4b0c8380cd616a2","contributors":{"authors":[{"text":"Rytuba, James J. jrytuba@usgs.gov","contributorId":3043,"corporation":false,"usgs":true,"family":"Rytuba","given":"James","email":"jrytuba@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":356060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hothem, Roger L. roger_hothem@usgs.gov","contributorId":1721,"corporation":false,"usgs":true,"family":"Hothem","given":"Roger","email":"roger_hothem@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":356059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":356061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstein, Daniel N.","contributorId":87671,"corporation":false,"usgs":true,"family":"Goldstein","given":"Daniel N.","affiliations":[],"preferred":false,"id":356062,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70007191,"text":"ofr20111315 - 2011 - Bathymetry and digital elevation models of Coyote Creek and Alviso Slough, South San Francisco Bay, California","interactions":[],"lastModifiedDate":"2020-07-09T18:09:19.490137","indexId":"ofr20111315","displayToPublicDate":"2012-01-23T13:04:00","publicationYear":"2011","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":"2011-1315","title":"Bathymetry and digital elevation models of Coyote Creek and Alviso Slough, South San Francisco Bay, California","docAbstract":"In 2010, the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center completed three cruises to map the bathymetry of the main channel and shallow intertidal mudflats in the southernmost part of south San Francisco Bay. The three surveys were merged to generate comprehensive maps of Coyote Creek (from Calaveras Point east to the railroad bridge) and Alviso Slough (from the bay to the town of Alviso) to establish baseline bathymetry prior to the breaching of levees adjacent to Alviso and Guadalupe Sloughs as part of the South Bay Salt Pond Restoration Project (http://www.southbayrestoration.org). Since 2010, the USGS has conducted fourteen additional surveys to monitor bathymetric change in this region as restoration progresses.
The bathymetric surveys were conducted using the state-of-the-art research vessel R/V Parke Snavely outfitted with an interferometric sidescan sonar for swath mapping in extremely shallow water. This publication provides high-resolution bathymetric data collected by the USGS. For the 2010 baseline survey we have merged the bathymetry with aerial lidar data that were collected for the USGS during the same time period to create a seamless, high-resolution digital elevation model (DEM) of the study area. The series of bathymetric datasets are provided at 1 m resolution and the 2010 bathymetric/topographic DEM at 2 m resolution. The data are formatted as both X, Y, Z text files and ESRI Arc ASCII files that are accompanied by Federal Geographic Data Committee (FGDC) compliant metadata.
Pacific Coastal and Marine Science Center
U.S. Geological Survey
2885 Mission Street
Santa Cruz, CA 95060
Many Federal, State, and local agencies use low-flow data to establish water-use policy and help determine the total maximum daily loads and effluent limits of point and nonpoint sources of contamination of surface water during periods of decreased streamflow. Low-flow magnitude and frequency are used often by water-supply planners, reservoir managers, and hydroelectric facilities to manage water availability for supply and power generation.
\nLow-flow statistics for eight selected U.S. Geological Survey streamgages in New York State were calculated for the period from 1976 through 2006 and for the entire period of continuous streamflow record. The 7-day, 2-year and 10-year low flows were computed and compared with those low flows published in the1979 U.S. Geological Survey report, Low-flow frequency analysis of streams in New York, Bulletin 74. Observed changes in low-flow frequency at each gage were then examined and compared to changes in precipitation and land use to determine whether a relation between similar patterns could be identified.
\nA statewide U.S. Geological Survey study has not been done to develop equations for estimating low flows on rural unregulated streams in New York. Currently (2010) only one regional study developed for parts of the lower Hudson River Basin in 1986 is available to assist in estimating low flows on rural streams with unregulated streamflow in New York. Low-flow statistics published in the 1979 report need to be updated by using additional data collected since 1976 to determine current low-flow conditions across New York State.
\nAt-site low-flow statistics were updated for eight streamgages in New York by using continuous daily streamflow data through 2006 for the future development of a statewide research study. Selection of the eight streamgages used in this study identified a major deficiency in the number of available unregulated long-term U.S. Geological Survey streamgages needed for the development of regional low-flow equations in New York. A limited analysis of the changes in land use for the contributing drainage areas for each streamgage, changes in precipitation, and trends in the annual 7-day minimum flow also are presented. The 7-day, 2-year low flow showed increases of 14 to 35 percent and the 7-day 10-year low flow showed zero to 19 percent increases at rural streamgages with unregulated streamflows when statistics were computed by using data from 1976 through 2006 and compared with published data in Bulletin 74. When the entire period of record was used to compute low flow frequencies, the 7-day, 2-year low flows increased from about 6 to 15 percent whereas the 7-day 10-year low flows showed zero to 5 percent increases. Streamgages affected by urbanization and regulation for water supply showed the most significant changes in the 7-day, 2-year and 10-year low-flow frequencies. These streamgages are included to help identify the effects of urbanization and regulation on streamflow at these locations. The 7-day 10-year low flow increased by 65 percent at the U.S. Geological Survey streamgage Hackensack River at West Nyack, N.Y., and increased 120 percent at the U.S. Geological Survey streamgage Neversink River at Godeffroy, N.Y., when statistics were computed by using data from 1976 through 2006 and compared with the statistics for the regulated period computed in Bulletin 74.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115112","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Suro, T.P., and Gazoorian, C.L., 2011, Changes in low-flow frequency from 1976-2006 at selected streamgages in New York, excluding Long Island: U.S. Geological Survey Scientific Investigations Report 2011-5112, vi, 21 p., https://doi.org/10.3133/sir20115112.","productDescription":"vi, 21 p.","onlineOnly":"Y","temporalStart":"1976-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116367,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5112.gif"},{"id":115677,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5112/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,40 ], [ -81,45 ], [ -72,45 ], [ -72,40 ], [ -81,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f41be4b0c8380cd4bb43","contributors":{"authors":[{"text":"Suro, Thomas P. 0000-0002-9476-6829 tsuro@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6829","contributorId":2841,"corporation":false,"usgs":true,"family":"Suro","given":"Thomas","email":"tsuro@usgs.gov","middleInitial":"P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":356021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356022,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005507,"text":"70005507 - 2011 - Use of upscaled elevation and surface roughness data in two-dimensional surface water models","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"70005507","displayToPublicDate":"2012-01-22T15:41:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Use of upscaled elevation and surface roughness data in two-dimensional surface water models","docAbstract":"In this paper, we present an approach that uses a combination of cell-block- and cell-face-averaging of high-resolution cell elevation and roughness data to upscale hydraulic parameters and accurately simulate surface water flow in relatively low-resolution numerical models. The method developed allows channelized features that preferentially connect large-scale grid cells at cell interfaces to be represented in models where these features are significantly smaller than the selected grid size. The developed upscaling approach has been implemented in a two-dimensional finite difference model that solves a diffusive wave approximation of the depth-integrated shallow surface water equations using preconditioned Newton–Krylov methods. Computational results are presented to show the effectiveness of the mixed cell-block and cell-face averaging upscaling approach in maintaining model accuracy, reducing model run-times, and how decreased grid resolution affects errors. Application examples demonstrate that sub-grid roughness coefficient variations have a larger effect on simulated error than sub-grid elevation variations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Advances in Water Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, The Netherlands","doi":"10.1016/j.advwatres.2011.02.004","usgsCitation":"Hughes, J., Decker, J., and Langevin, C., 2011, Use of upscaled elevation and surface roughness data in two-dimensional surface water models: Advances in Water Resources, v. 34, no. 9, p. 1151-1164, https://doi.org/10.1016/j.advwatres.2011.02.004.","productDescription":"14 p.","startPage":"1151","endPage":"1164","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":204682,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115748,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.advwatres.2011.02.004","linkFileType":{"id":5,"text":"html"}}],"volume":"34","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbfabe4b08c986b329cce","contributors":{"authors":[{"text":"Hughes, J.D.","contributorId":25539,"corporation":false,"usgs":true,"family":"Hughes","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":352679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Decker, J.D.","contributorId":66418,"corporation":false,"usgs":true,"family":"Decker","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":352681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langevin, C.D.","contributorId":25976,"corporation":false,"usgs":true,"family":"Langevin","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":352680,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70007134,"text":"sir20115203 - 2011 - Improvement in precipitation-runoff model simulations by recalibration with basin-specific data, and subsequent model applications, Onondaga Lake Basin, Onondaga County, New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20115203","displayToPublicDate":"2012-01-18T00:00:00","publicationYear":"2011","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":"2011-5203","title":"Improvement in precipitation-runoff model simulations by recalibration with basin-specific data, and subsequent model applications, Onondaga Lake Basin, Onondaga County, New York","docAbstract":"Water-resource managers in Onondaga County, New York, are faced with the challenge of improving the water quality of Onondaga Lake, which has the distinction of being one of the most contaminated lakes in the United States. To assist in this endeavor, during 2003-07 the U.S. Geological Survey (USGS), in cooperation with the Onondaga Lake Partnership, developed a precipitation-runoff model of the 285-square-mile Onondaga Lake Basin with the computer program Hydrological Simulation Program-Fortran (HSPF). The model was intended to provide a tool whereby the processes responsible for the generation of loads of sediment and nutrients that are transported to Onondaga Lake could be better understood. This objective was only partly attained because data for calibration of the model were available from monitoring sites only at or near the mouths of the major tributaries to Onondaga Lake; no calibration data from headwater subbasins, where the loads originated, were available. To address this limitation and thereby decrease the uncertainty in the simulated results that were associated with headwater processes, the USGS conducted a 3-year (2005-08) basinwide study to assess the quality of surface water in the Onondaga Lake Basin. The study quantified the relative contributions of nonpoint sources associated with the major land uses and land covers in the basin and also monitored known sources and presumed sinks of sediment and nutrient loads, which previously had not been evaluated. The use of the newly acquired data to recalibrate the HSPF model resulted in improvements in the simulation of processes in the headwater subbasins, including suspended-sediment, orthophosphate, and phosphorus generation and transport.\nSimulation of streamflows in small subbasins was improved by adjusting model parameter values to match base flows, storm peaks, and storm recessions more precisely than had been done with the original model. Simulated recessional and low flows were either increased or decreased as appropriate for a given stream, and simulated peak flows generally were lowered in the revised model. The use of suspended-sediment concentrations rather than concentrations of the surrogate constituent, total suspended solids, resulted in increases in the simulated low-flow sediment concentrations and, in most cases, decreases in the simulated peak-flow sediment concentrations. Simulated orthophosphate concentrations in base flows generally increased but decreased for peak flows in selected headwater subbasins in the revised model. Compared with the original model, phosphorus concentrations simulated by the revised model were comparable in forested subbasins, generally decreased in developed and wetland-dominated subbasins, and increased in agricultural subbasins. A final revision to the model was made by the addition of the simulation of chloride (salt) concentrations in the Onondaga Creek Basin to help water-resource managers better understand the relative contributions of salt from multiple sources in this particular tributary. The calibrated revised model was used to (1) compute loading rates for the various land types that were simulated in the model, (2) conduct a watershed-management analysis that estimated the portion of the total load that was likely to be transported to Onondaga Lake from each of the modeled subbasins, (3) compute and assess chloride loads to Onondaga Lake from the Onondaga Creek Basin, and (4) simulate precolonization (forested) conditions in the basin to estimate the probable minimum phosphorus loads to the lake.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115203","collaboration":"Prepared in cooperation with the Onondaga Lake Partnership","usgsCitation":"Coon, W.F., 2011, Improvement in precipitation-runoff model simulations by recalibration with basin-specific data, and subsequent model applications, Onondaga Lake Basin, Onondaga County, New York: U.S. Geological Survey Scientific Investigations Report 2011-5203, x, 37 p., https://doi.org/10.3133/sir20115203.","productDescription":"x, 37 p.","onlineOnly":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5203.gif"},{"id":112501,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5203/","linkFileType":{"id":5,"text":"html"}}],"state":"New York","county":"Onondaga","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.5,42.7 ], [ -76.5,43.166666666666664 ], [ -75.96666666666667,43.166666666666664 ], [ -75.96666666666667,42.7 ], [ -76.5,42.7 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3969e4b0c8380cd618f8","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":355918,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70006021,"text":"70006021 - 2011 - Tumor prevalence and biomarkers of genotoxicity in brown bullhead (Ameiurus nebulosus) in Chesapeake Bay tributaries","interactions":[],"lastModifiedDate":"2021-04-01T20:26:34.170909","indexId":"70006021","displayToPublicDate":"2012-01-17T09:46:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Tumor prevalence and biomarkers of genotoxicity in brown bullhead (Ameiurus nebulosus) in Chesapeake Bay tributaries","title":"Tumor prevalence and biomarkers of genotoxicity in brown bullhead (Ameiurus nebulosus) in Chesapeake Bay tributaries","docAbstract":"We surveyed four Chesapeake Bay tributaries for skin and liver tumors in brown bullhead (Ameiurus nebulosus). We focused on the South River, where the highest skin tumor prevalence (53%) in the Bay watershed had been reported. The objectives were to 1) compare tumor prevalence with nearby rivers (Severn and Rhode) and a more remote river (Choptank); 2) investigate associations between tumor prevalence and polynuclear aromatic hydrocarbons (PAHs) and alkylating agents; and 3) statistically analyze Chesapeake Bay bullhead tumor data from 1992 through 2008. All four South River collections exhibited high skin tumor prevalence (19% to 58%), whereas skin tumor prevalence was 2%, 10%, and 52% in the three Severn collections; 0% and 2% in the Choptank collections; and 5.6% in the Rhode collection. Liver tumor prevalence was 0% to 6% in all but one South River collection (20%) and 0% to 6% in the three other rivers. In a subset of samples, PAH-like biliary metabolites and 32P-DNA adducts were used as biomarkers of exposure and response to polycyclic aromatic compounds (PACs). Adducts from alkylating agents were detected as O6-methyl-2′-deoxyguanosine (O6Me-dG) and O6-ethyl-2′-deoxyguanosine (O6Et-dG) modified DNA. Bullheads from the contaminated Anacostia River were used as a positive control for DNA adducts. 32P-DNA adduct concentrations were significantly higher in Anacostia bullhead livers compared with the other rivers. We identified alkyl DNA adducts in bullhead livers from the South and Anacostia, but not the Choptank. Neither the PAH-like bile metabolite data, sediment PAH data, nor the DNA adduct data suggest an association between liver or skin tumor prevalence and exposure to PACs or alkylating agents in the South, Choptank, Severn, or Rhode rivers. Logistic regression analysis of the Chesapeake Bay database revealed that sex and length were significant covariates for liver tumors and length was a significant covariate for skin tumors.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2011.09.035","usgsCitation":"Pinkney, A.E., Harshbarger, J., Karouna-Renier, N., Jenko, K., Balk, L., Skarphedinsdottir, H., Liewenborg, B., and Rutter, M.A., 2011, Tumor prevalence and biomarkers of genotoxicity in brown bullhead (Ameiurus nebulosus) in Chesapeake Bay tributaries: Science of the Total Environment, v. 410-411, p. 248-257, https://doi.org/10.1016/j.scitotenv.2011.09.035.","productDescription":"10 p.","startPage":"248","endPage":"257","temporalStart":"1992-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":204578,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed, South River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.2333984375,\n 36.914764288955936\n ],\n [\n -75.1025390625,\n 36.914764288955936\n ],\n [\n -75.1025390625,\n 39.926588421909436\n ],\n [\n -79.2333984375,\n 39.926588421909436\n ],\n [\n -79.2333984375,\n 36.914764288955936\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"410-411","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb8bfe4b08c986b327a46","contributors":{"authors":[{"text":"Pinkney, Alfred E.","contributorId":14253,"corporation":false,"usgs":false,"family":"Pinkney","given":"Alfred","email":"","middleInitial":"E.","affiliations":[{"id":12750,"text":"U.S. Fish and Wildlife Service, Annapolis, MD","active":true,"usgs":false}],"preferred":false,"id":353687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harshbarger, John C.","contributorId":85928,"corporation":false,"usgs":true,"family":"Harshbarger","given":"John C.","affiliations":[],"preferred":false,"id":353691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karouna-Renier, Natalie K. 0000-0001-7127-033X","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":17357,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":353688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenko, Kathryn","contributorId":6720,"corporation":false,"usgs":true,"family":"Jenko","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":353685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balk, Lennart","contributorId":38844,"corporation":false,"usgs":true,"family":"Balk","given":"Lennart","affiliations":[],"preferred":false,"id":353689,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skarphedinsdottir, Halldora","contributorId":52832,"corporation":false,"usgs":true,"family":"Skarphedinsdottir","given":"Halldora","email":"","affiliations":[],"preferred":false,"id":353690,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liewenborg, Birgitta","contributorId":101940,"corporation":false,"usgs":true,"family":"Liewenborg","given":"Birgitta","email":"","affiliations":[],"preferred":false,"id":353692,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rutter, Michael A.","contributorId":13938,"corporation":false,"usgs":true,"family":"Rutter","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353686,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70005313,"text":"70005313 - 2011 - Transient groundwater chemistry near a river: Effects on U(VI) transport in laboratory column experiments","interactions":[],"lastModifiedDate":"2022-08-29T14:57:19.94641","indexId":"70005313","displayToPublicDate":"2012-01-15T14:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Transient groundwater chemistry near a river: Effects on U(VI) transport in laboratory column experiments","docAbstract":"In the 300 Area of a U(VI)-contaminated aquifer at Hanford, Washington, USA, inorganic carbon and major cations, which have large impacts on U(VI) transport, change on an hourly and seasonal basis near the Columbia River. Batch and column experiments were conducted to investigate the factors controlling U(VI) adsorption/desorption by changing chemical conditions over time. Low alkalinity and low Ca concentrations (Columbia River water) enhanced adsorption and reduced aqueous concentrations. Conversely, high alkalinity and high Ca concentrations (Hanford groundwater) reduced adsorption and increased aqueous concentrations of U(VI). An equilibrium surface complexation model calibrated using laboratory batch experiments accounted for the decrease in U(VI) adsorption observed with increasing (bi)carbonate concentrations and other aqueous chemical conditions. In the column experiment, alternating pulses of river and groundwater caused swings in aqueous U(VI) concentration. A multispecies multirate surface complexation reactive transport model simulated most of the major U(VI) changes in two column experiments. The modeling results also indicated that U(VI) transport in the studied sediment could be simulated by using a single kinetic rate without loss of accuracy in the simulations. Moreover, the capability of the model to predict U(VI) transport in Hanford groundwater under transient chemical conditions depends significantly on the knowledge of real-time change of local groundwater chemistry.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010WR009369","usgsCitation":"Yin, J., Haggerty, R., Stoliker, D., Kent, D.B., Istok, J.D., Greskowiak, J., and Zachara, J.M., 2011, Transient groundwater chemistry near a river: Effects on U(VI) transport in laboratory column experiments: Water Resources Research, v. 47, no. 4, W04502, 11 p., https://doi.org/10.1029/2010WR009369.","productDescription":"W04502, 11 p.","onlineOnly":"Y","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":204702,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Benton 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Jun","contributorId":88491,"corporation":false,"usgs":true,"family":"Yin","given":"Jun","email":"","affiliations":[],"preferred":false,"id":352267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haggerty, Roy","contributorId":102631,"corporation":false,"usgs":true,"family":"Haggerty","given":"Roy","affiliations":[],"preferred":false,"id":352268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoliker, Deborah L. dlstoliker@usgs.gov","contributorId":2954,"corporation":false,"usgs":true,"family":"Stoliker","given":"Deborah L.","email":"dlstoliker@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":352264,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":352263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Istok, Jonathan D.","contributorId":35468,"corporation":false,"usgs":true,"family":"Istok","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":352266,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Greskowiak, Janek","contributorId":108254,"corporation":false,"usgs":true,"family":"Greskowiak","given":"Janek","email":"","affiliations":[],"preferred":false,"id":352269,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zachara, John M.","contributorId":7421,"corporation":false,"usgs":true,"family":"Zachara","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":352265,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70004832,"text":"70004832 - 2011 - Trace and minor element variations and sulfur isotopes in crystalline and colloform ZnS: Incorporation mechanisms and implications for their genesis","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70004832","displayToPublicDate":"2012-01-15T09:13:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Trace and minor element variations and sulfur isotopes in crystalline and colloform ZnS: Incorporation mechanisms and implications for their genesis","docAbstract":"Various models have been proposed to explain the formation mechanism of colloform sphalerite, but the origin is still under debate. In order to decipher influences on trace element incorporation and sulfur isotope composition, crystalline and colloform sphalerite from the carbonate-hosted Mississippi-Valley Type (MVT) deposit near Wiesloch, SW Germany, were investigated and compared to sphalerite samples from 52 hydrothermal vein-type deposits in the Schwarzwald ore district, SW Germany to study the influence of different host rocks, formation mechanisms and fluid origin on trace element incorporation. Trace and minor element incorporation in sphalerite shows some correlation to their host rock and/or origin of fluid, gangue, paragenetic minerals and precipitation mechanisms (e.g., diagenetic processes, fluid cooling or fluid mixing). Furthermore, crystalline sphalerite is generally enriched in elements like Cd, Cu, Sb and Ag compared to colloform sphalerite that mainly incorporates elements like As, Pb and Tl. In addition, sulfur isotopes are characterized by positive values for crystalline and strongly negative values for colloform sphalerite. The combination of trace element contents, typical minerals associated with colloform sphalerite from Wiesloch, sulfur isotopes and thermodynamic considerations helped to evaluate the involvement of sulfate-reducing bacteria in water-filled karst cavities. Sulfate-reducing bacteria cause a sulfide-rich environment that leads in case of a metal-rich fluid supply to a sudden oversaturation of the fluid with respect to galena, sphalerite and pyrite. This, however, exactly coincides with the observed crystallization sequence of samples involving colloform sphalerite from the Wiesloch MVT deposit.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.chemgeo.2011.04.018","usgsCitation":"Pfaff, K., Koenig, A., Wenzel, T., Ridley, I., Hildebrandt, L.H., Leach, D.L., and Markl, G., 2011, Trace and minor element variations and sulfur isotopes in crystalline and colloform ZnS: Incorporation mechanisms and implications for their genesis: Chemical Geology, v. 286, no. 3-4, p. 118-134, https://doi.org/10.1016/j.chemgeo.2011.04.018.","productDescription":"17 p.","startPage":"118","endPage":"134","numberOfPages":"17","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":204575,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115675,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.04.018","linkFileType":{"id":5,"text":"html"}}],"country":"Germany","city":"Wiesloch","volume":"286","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb630e4b08c986b326af6","contributors":{"authors":[{"text":"Pfaff, Katharina","contributorId":49916,"corporation":false,"usgs":true,"family":"Pfaff","given":"Katharina","affiliations":[],"preferred":false,"id":351441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koenig, Alan 0000-0002-5230-0924","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":63159,"corporation":false,"usgs":true,"family":"Koenig","given":"Alan","affiliations":[],"preferred":false,"id":351442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wenzel, Thomas","contributorId":12975,"corporation":false,"usgs":true,"family":"Wenzel","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":351439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ridley, Ian","contributorId":23244,"corporation":false,"usgs":true,"family":"Ridley","given":"Ian","email":"","affiliations":[],"preferred":false,"id":351440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hildebrandt, Ludwig H.","contributorId":101375,"corporation":false,"usgs":true,"family":"Hildebrandt","given":"Ludwig","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":351445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leach, David L.","contributorId":83902,"corporation":false,"usgs":true,"family":"Leach","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":351444,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Markl, Gregor","contributorId":73732,"corporation":false,"usgs":true,"family":"Markl","given":"Gregor","email":"","affiliations":[],"preferred":false,"id":351443,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70003886,"text":"70003886 - 2011 - Toxicity of silicon carbide nanowires to sediment-dwelling invertebrates in water or sediment exposures","interactions":[],"lastModifiedDate":"2020-01-14T08:34:32","indexId":"70003886","displayToPublicDate":"2012-01-15T08:52:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of silicon carbide nanowires to sediment-dwelling invertebrates in water or sediment exposures","docAbstract":"Silicon carbide nanowires (SiCNW) are insoluble in water. When released into an aquatic environment, SiCNW would likely accumulate in sediment. The objective of this study was to assess the toxicity of SiCNW to four freshwater sediment-dwelling organisms: amphipods (Hyalella azteca), midges (Chironomus dilutus), oligochaetes (Lumbriculus variegatus), and mussels (Lampsilis siliquoidea). Amphipods were exposed to either sonicated or nonsonicated SiCNW in water (1.0 g/L) for 48 h. Midges, mussels, and oligochaetes were exposed only to sonicated SiCNW in water for 96 h. In addition, amphipods were exposed to sonicated SiCNW in whole sediment for 10 d (44% SiCNW on dry wt basis). Mean 48-h survival of amphipods exposed to nonsonicated SiCNW in water was not significantly different from the control, whereas mean survival of amphipods exposed to sonicated SiCNW in two 48-h exposures (0 or 15% survival) was significantly different from the control (90 or 98% survival). In contrast, no effect of sonicated SiCNW was observed on survival of midges, mussels, or oligochaetes. Survival of amphipods was not significantly reduced in 10-d exposures to sonicated SiCNW either mixed in the sediment or layered on the sediment surface. However, significant reduction in amphipod biomass was observed with the SiCNW either mixed in sediment or layered on the sediment surface, and the reduction was more pronounced for SiCNW layered on the sediment. These results indicated that, under the experimental conditions, nonsonicated SiCNW in water were not acutely toxic to amphipods, sonicated SiCNW in water were acutely toxic to the amphipods, but not to other organisms tested, and sonicated SiCNW in sediment affected the growth but not the survival of amphipods.","language":"English","publisher":"Wiley","doi":"10.1002/etc.467","usgsCitation":"Mwangi, J.N., Wang, N., Ritts, A., Kunz, J.L., Ingersoll, C.G., Li, H., and Deng, B., 2011, Toxicity of silicon carbide nanowires to sediment-dwelling invertebrates in water or sediment exposures: Environmental Toxicology and Chemistry, v. 30, no. 4, p. 981-987, https://doi.org/10.1002/etc.467.","productDescription":"7 p.","startPage":"981","endPage":"987","numberOfPages":"7","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":204573,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-01","publicationStatus":"PW","scienceBaseUri":"505bb615e4b08c986b326a56","contributors":{"authors":[{"text":"Mwangi, Joseph N.","contributorId":70535,"corporation":false,"usgs":true,"family":"Mwangi","given":"Joseph","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":349304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":349299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritts, Andrew","contributorId":54338,"corporation":false,"usgs":true,"family":"Ritts","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":349303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":349300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":349298,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Hao","contributorId":14945,"corporation":false,"usgs":true,"family":"Li","given":"Hao","affiliations":[],"preferred":false,"id":349302,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Deng, Baolin","contributorId":8988,"corporation":false,"usgs":true,"family":"Deng","given":"Baolin","email":"","affiliations":[],"preferred":false,"id":349301,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70003820,"text":"70003820 - 2011 - Transport of trace metals in runoff from soil and pond ash feedlot surfaces","interactions":[],"lastModifiedDate":"2013-03-17T11:06:39","indexId":"70003820","displayToPublicDate":"2012-01-15T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3619,"text":"Transactions of the ASABE","active":true,"publicationSubtype":{"id":10}},"title":"Transport of trace metals in runoff from soil and pond ash feedlot surfaces","docAbstract":"The use of pond ash (fly ash that has been placed in evaporative ponds for storage and subsequently dewatered) for feedlot surfaces provides a drier environment for livestock and furnishes economic benefits. However, pond ash is known to have high concentrations of trace elements, and the runoff water-quality effects of feedlot surfaces amended with pond ash are not well defined. For this study, two experimental units (plots) were established in eight feedlot pens. Four of the pens contained unamended soil surfaces, and the remaining four pens had pond-ash amended surfaces. Before each test, unconsolidated surface material was removed from four of the plots for each of the amendment treatments, resulting in eight unamended plots and eight pond-ash amended plots. Concentrations for 23 trace elements were measured in cattle feedlot surface material and in the runoff water from three simulated rainfall events. Trace element concentrations in surface material and runoff did not differ between surface consolidation treatments. Amending the feedlot surface material with pond ash resulted in a significant increase in concentration for 14 of the 17 trace elements. Runoff concentrations for 21 trace elements were affected by pond-ash amendment. Sixteen of 21 trace element concentrations that differed significantly were greater in runoff from unamended soil surfaces. Concentrations in runoff were significantly correlated with concentrations in feedlot surface material for boron, manganese, molybdenum, selenium, and uranium.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the ASABE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agricultural and Biological Engineers","publisherLocation":"St. Joseph, MI","usgsCitation":"Vogel, J.R., Gilley, J., Cottrell, G., Woodbury, B., Berry, E., and Eigenbert, R., 2011, Transport of trace metals in runoff from soil and pond ash feedlot surfaces: Transactions of the ASABE, v. 54, no. 4, p. 1269-1279.","productDescription":"11 p.","startPage":"1269","endPage":"1279","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":204700,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115686,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.ars.usda.gov/SP2UserFiles/Place/54380530/2011541269.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Nebraska","county":"Clay","volume":"54","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb758e4b08c986b3271ec","contributors":{"authors":[{"text":"Vogel, J. R.","contributorId":21639,"corporation":false,"usgs":true,"family":"Vogel","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":349016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilley, J.E.","contributorId":47084,"corporation":false,"usgs":true,"family":"Gilley","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":349018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cottrell, G.L.","contributorId":87293,"corporation":false,"usgs":true,"family":"Cottrell","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":349019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodbury, B.L.","contributorId":90877,"corporation":false,"usgs":true,"family":"Woodbury","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":349020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berry, E.D.","contributorId":24496,"corporation":false,"usgs":true,"family":"Berry","given":"E.D.","email":"","affiliations":[],"preferred":false,"id":349017,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eigenbert, R.A.","contributorId":96831,"corporation":false,"usgs":true,"family":"Eigenbert","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":349021,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70007175,"text":"70007175 - 2011 - National Acid Precipitation Assessment Program Report to Congress: An integrated assessment","interactions":[],"lastModifiedDate":"2018-02-21T17:55:56","indexId":"70007175","displayToPublicDate":"2012-01-14T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5577,"text":"The National Acid Precipitation Assessment Program (NAPAP) Report","active":true,"publicationSubtype":{"id":1}},"title":"National Acid Precipitation Assessment Program Report to Congress: An integrated assessment","docAbstract":"Acid deposition, more commonly known as acid rain, occurs when emissions of sulfur dioxide (SO2) and nitrogen oxides (NOx) react in the atmosphere with water, oxygen, and oxidants to form various acidic compounds. Prevailing winds transport the acidic compounds hundreds of miles, often across state and national borders. These acidic compounds then fall to earth in either a wet form (rain, snow, and fog) or a dry form (gases, aerosols, and particles). At certain levels, the acidic compounds, including small particles such as sulfates and nitrates, can cause many negative human health and environmental effects.
","language":"English","publisher":"National Science Technology Council","publisherLocation":"Washington, D.C.","usgsCitation":"Burns, D.A., Fenn, M.E., Baron, J., Lynch, J.A., and Cosby, B.J., 2011, National Acid Precipitation Assessment Program Report to Congress: An integrated assessment: The National Acid Precipitation Assessment Program (NAPAP) Report, x, 114 p.","productDescription":"x, 114 p.","ipdsId":"IP-022424","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":349998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349994,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/2011_napap_508.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6107a2e4b06e28e9c255d6","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":725068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fenn, Mark E.","contributorId":192204,"corporation":false,"usgs":false,"family":"Fenn","given":"Mark","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":725075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":725076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynch, Jason A.","contributorId":55702,"corporation":false,"usgs":true,"family":"Lynch","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cosby, Bernard J.","contributorId":107578,"corporation":false,"usgs":true,"family":"Cosby","given":"Bernard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":725078,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70003569,"text":"70003569 - 2011 - Towards identifying the next generation of superfund and hazardous waste site contaminants","interactions":[],"lastModifiedDate":"2020-09-09T15:30:43.916232","indexId":"70003569","displayToPublicDate":"2012-01-12T17:31:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1542,"text":"Environmental Health Perspectives","active":true,"publicationSubtype":{"id":10}},"title":"Towards identifying the next generation of superfund and hazardous waste site contaminants","docAbstract":"Background This commentary evolved from a workshop sponsored by the National Institute of Environmental Health Sciences titled \"Superfund Contaminants: The Next Generation\" held in Tucson, Arizona, in August 2009. All the authors were workshop participants.
\nObjectives Our aim was to initiate a dynamic, adaptable process for identifying contaminants of emerging concern (CECs) that are likely to be found in future hazardous waste sites, and to identify the gaps in primary research that cause uncertainty in determining future hazardous waste site contaminants.
\nDiscussion Superfund-relevant CECs can be characterized by specific attributes: They are persistent, bioaccumulative, toxic, occur in large quantities, and have localized accumulation with a likelihood of exposure. Although still under development and incompletely applied, methods to quantify these attributes can assist in winnowing down the list of candidates from the universe of potential CECs. Unfortunately, significant research gaps exist in detection and quantification, environmental fate and transport, health and risk assessment, and site exploration and remediation for CECs. Addressing these gaps is prerequisite to a preventive approach to generating and managing hazardous waste sites.
\nConclusions A need exists for a carefully considered and orchestrated expansion of programmatic and research efforts to identify, evaluate, and manage CECs of hazardous waste site relevance, including developing an evolving list of priority CECs, intensifying the identification and monitoring of likely sites of present or future accumulation of CECs, and implementing efforts that focus on a holistic approach to prevention.
","language":"English","publisher":"National Institute of Environmental Health Sciences","doi":"10.1289/ehp.1002497","usgsCitation":"Ela, W.P., Sedlak, D.L., Barlaz, M.A., Henry, H.F., Muir, D.C., Swackhamer, D.L., Weber, E.J., Arnold, R.G., Ferguson, P.L., Field, J.A., Furlong, E.T., Giesy, J.P., Halden, R.U., Henry, T., Hites, R., Hornbuckle, K.C., Howard, P.H., Luthy, R.G., Meyer, A.K., Saez, A.E., vom Saal, F., Vulpe, C.D., and Wiesner, M.R., 2011, Towards identifying the next generation of superfund and hazardous waste site contaminants: Environmental Health Perspectives, v. 119, no. 1, p. 6-10, https://doi.org/10.1289/ehp.1002497.","productDescription":"5 p.","startPage":"6","endPage":"10","costCenters":[{"id":140,"text":"Branch of Analytical Serv (National Water Quality Laboratory)","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":474781,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1289/ehp.1002497","text":"Publisher Index Page"},{"id":204593,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb5bfe4b08c986b32688f","contributors":{"authors":[{"text":"Ela, Wendell P.","contributorId":96543,"corporation":false,"usgs":true,"family":"Ela","given":"Wendell","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":347797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sedlak, David L.","contributorId":20613,"corporation":false,"usgs":true,"family":"Sedlak","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":347783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlaz, Morton A.","contributorId":68174,"corporation":false,"usgs":true,"family":"Barlaz","given":"Morton","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":347790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henry, Heather F.","contributorId":18231,"corporation":false,"usgs":true,"family":"Henry","given":"Heather","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":347781,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muir, Derek C.G.","contributorId":68679,"corporation":false,"usgs":true,"family":"Muir","given":"Derek","email":"","middleInitial":"C.G.","affiliations":[],"preferred":false,"id":347791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Swackhamer, Deborah L.","contributorId":96544,"corporation":false,"usgs":true,"family":"Swackhamer","given":"Deborah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":347798,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weber, Eric J.","contributorId":93345,"corporation":false,"usgs":true,"family":"Weber","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":347795,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arnold, Robert G.","contributorId":95336,"corporation":false,"usgs":true,"family":"Arnold","given":"Robert","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":347796,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ferguson, P. Lee","contributorId":24236,"corporation":false,"usgs":true,"family":"Ferguson","given":"P.","email":"","middleInitial":"Lee","affiliations":[],"preferred":false,"id":347784,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Field, Jennifer A.","contributorId":18632,"corporation":false,"usgs":true,"family":"Field","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":347782,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":347779,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Giesy, John P.","contributorId":57426,"corporation":false,"usgs":true,"family":"Giesy","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":347789,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Halden, Rolf U.","contributorId":73865,"corporation":false,"usgs":true,"family":"Halden","given":"Rolf","email":"","middleInitial":"U.","affiliations":[],"preferred":false,"id":347792,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Henry, Tala","contributorId":54859,"corporation":false,"usgs":true,"family":"Henry","given":"Tala","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":347787,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hites, Ronald A.","contributorId":97056,"corporation":false,"usgs":true,"family":"Hites","given":"Ronald A.","affiliations":[],"preferred":false,"id":347799,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hornbuckle, Keri C.","contributorId":48040,"corporation":false,"usgs":true,"family":"Hornbuckle","given":"Keri","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":347786,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Howard, Philip H.","contributorId":73881,"corporation":false,"usgs":true,"family":"Howard","given":"Philip","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":347793,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Luthy, Richard G.","contributorId":99280,"corporation":false,"usgs":true,"family":"Luthy","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":347800,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Meyer, Anita K.","contributorId":29275,"corporation":false,"usgs":true,"family":"Meyer","given":"Anita","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":347785,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Saez, A. Eduardo","contributorId":55696,"corporation":false,"usgs":true,"family":"Saez","given":"A.","email":"","middleInitial":"Eduardo","affiliations":[],"preferred":false,"id":347788,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"vom Saal, Frederick S.","contributorId":17488,"corporation":false,"usgs":true,"family":"vom Saal","given":"Frederick S.","affiliations":[],"preferred":false,"id":347780,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Vulpe, Chris D.","contributorId":79366,"corporation":false,"usgs":true,"family":"Vulpe","given":"Chris","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":347794,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Wiesner, Mark R.","contributorId":104777,"corporation":false,"usgs":true,"family":"Wiesner","given":"Mark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":347801,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}} ,{"id":70007130,"text":"70007130 - 2011 - Ruddy Shelduck Tadorna ferruginea home range and habitat use during the non-breeding season in Assam, India","interactions":[],"lastModifiedDate":"2019-06-21T14:49:38","indexId":"70007130","displayToPublicDate":"2012-01-12T17:10:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Ruddy Shelduck Tadorna ferruginea home range and habitat use during the non-breeding season in Assam, India","docAbstract":"India is an important non-breeding ground for migratory waterfowl in the Central Asian Flyway. Millions of birds visit wetlands across the country, yet information on their distribution, abundance, and use of resources is rudimentary at best. Limited information suggests that populations of several species of migratory ducks are declining due to encroachment of wetland habitats largely by agriculture and industry. The development of conservation strategies is stymied by a lack of ecological information on these species. We conducted a preliminary assessment of the home range and habitat use of Ruddy Shelduck Tadorna ferruginea in the northeast Indian state of Assam. Seven Ruddy Shelducks were fitted with solar-powered Global Positioning System (GPS) satellite transmitters, and were tracked on a daily basis during the winter of 2009-2010. Locations from all seven were used to describe habitat use, while locations from four were used to quantify their home range, as the other three had too few locations (< 30) for home range estimation. A Brownian Bridge Movement Model (BBMM), used to estimate home ranges, found that the Ruddy Shelduck had an average core use area (i.e. the contour defining 50% of positions) of 40 km2 (range = 22-87 km2) and an average home range (95% contour) of 610 km2 (range = 222-1,550 km2). Resource Selection Functions (RSF), used to describe habitat use, showed that the birds frequented riverine wetlands more than expected, occurred on grasslands and shrublands in proportion to their availability, and avoided woods and cropland habitats. The core use areas for three individuals (75%) were on the Brahmaputra River, indicating their preference for riverine habitats. Management and protection of riverine habitats and nearby grasslands may benefit conservation efforts for the Ruddy Shelduck and waterfowl species that share these habitats during the non-breeding season.","language":"English","publisher":"Wildfowl & Wetlands Trust","publisherLocation":"Slimbridge, Gloucestershire","usgsCitation":"Namgail, T., Takekawa, J.Y., Sivananinthaperumal, B., Areendran, G., Sathiyaselvam, P., Mundkur, T., Mccracken, T., and Newman, S., 2011, Ruddy Shelduck Tadorna ferruginea home range and habitat use during the non-breeding season in Assam, India: Wildfowl, v. 61, p. 182-193.","productDescription":"12 p.","startPage":"182","endPage":"193","temporalStart":"2009-12-22","temporalEnd":"2010-03-21","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328995,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/1243"},{"id":204590,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","state":"Assam","volume":"61","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aaeb6e4b0c8380cd8719e","contributors":{"authors":[{"text":"Namgail, T.","contributorId":72526,"corporation":false,"usgs":true,"family":"Namgail","given":"T.","affiliations":[],"preferred":false,"id":355910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":355909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sivananinthaperumal, B.","contributorId":96006,"corporation":false,"usgs":true,"family":"Sivananinthaperumal","given":"B.","affiliations":[],"preferred":false,"id":355912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Areendran, G.","contributorId":79620,"corporation":false,"usgs":true,"family":"Areendran","given":"G.","email":"","affiliations":[],"preferred":false,"id":355911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sathiyaselvam, P.","contributorId":51015,"corporation":false,"usgs":true,"family":"Sathiyaselvam","given":"P.","affiliations":[],"preferred":false,"id":355907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mundkur, T.","contributorId":60151,"corporation":false,"usgs":true,"family":"Mundkur","given":"T.","affiliations":[],"preferred":false,"id":355908,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mccracken, T.","contributorId":25697,"corporation":false,"usgs":true,"family":"Mccracken","given":"T.","email":"","affiliations":[],"preferred":false,"id":355906,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Newman, S.","contributorId":7678,"corporation":false,"usgs":true,"family":"Newman","given":"S.","affiliations":[],"preferred":false,"id":355905,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70007163,"text":"70007163 - 2011 - Serum amyloid A (SAA) as a biomarker of chronic infection due to boat strike trauma in a free-ranging Florida manatee (Trichechus manatus latirostris) with incidental polycystic kidneys","interactions":[],"lastModifiedDate":"2021-05-17T16:25:59.730027","indexId":"70007163","displayToPublicDate":"2012-01-12T15:40:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Serum amyloid A (SAA) as a biomarker of chronic infection due to boat strike trauma in a free-ranging Florida manatee (Trichechus manatus latirostris) with incidental polycystic kidneys","title":"Serum amyloid A (SAA) as a biomarker of chronic infection due to boat strike trauma in a free-ranging Florida manatee (Trichechus manatus latirostris) with incidental polycystic kidneys","docAbstract":"Watercraft-related trauma is the predominant cause of human-induced mortality in manatees (Trichechus manatus latirostris), a federal- and state-listed endangered species. Pyothorax (documented in this case report) and other secondary infections are common sequelae of inhalation of water and the open wounds caused by boat propellers. These secondary infections can lead to the demise of the animal weeks to months after the traumatic incident when external wounds have healed. Diagnosis of underlying disease on physical examination during capture and restraint can be difficult. Acute phase proteins, including serum amyloid A, fibrinogen, and albumin can be used to diagnose inflammatory disease in manatees and improve quality of medical care and husbandry. We also provide the first report of polycystic kidneys in Sirenians.","language":"English","publisher":"Wildlife Disease Association","publisherLocation":"Lawrence, KS","doi":"10.7589/0090-3558-47.4.1026","usgsCitation":"Harr, K.E., Rember, R., Ginn, P.E., Lightsey, J., Keller, M., Reid, J., and Bonde, R.K., 2011, Serum amyloid A (SAA) as a biomarker of chronic infection due to boat strike trauma in a free-ranging Florida manatee (Trichechus manatus latirostris) with incidental polycystic kidneys: Journal of Wildlife Diseases, v. 47, no. 4, p. 1026-1031, https://doi.org/10.7589/0090-3558-47.4.1026.","productDescription":"6 p.","startPage":"1026","endPage":"1031","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474782,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/0090-3558-47.4.1026","text":"Publisher Index Page"},{"id":204655,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.099609375,\n 24.806681353851964\n ],\n [\n -79.1455078125,\n 24.806681353851964\n ],\n [\n -79.1455078125,\n 30.751277776257812\n ],\n [\n -87.099609375,\n 30.751277776257812\n ],\n [\n -87.099609375,\n 24.806681353851964\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8d66e4b08c986b31839d","contributors":{"authors":[{"text":"Harr, Kendal E.","contributorId":14114,"corporation":false,"usgs":true,"family":"Harr","given":"Kendal","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":355987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rember, Renee","contributorId":97633,"corporation":false,"usgs":true,"family":"Rember","given":"Renee","email":"","affiliations":[],"preferred":false,"id":355990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ginn, Pamela E.","contributorId":13748,"corporation":false,"usgs":true,"family":"Ginn","given":"Pamela","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":355985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lightsey, Jessica","contributorId":69709,"corporation":false,"usgs":true,"family":"Lightsey","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":355988,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keller, Martha","contributorId":78087,"corporation":false,"usgs":true,"family":"Keller","given":"Martha","email":"","affiliations":[],"preferred":false,"id":355989,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reid, James","contributorId":13749,"corporation":false,"usgs":true,"family":"Reid","given":"James","affiliations":[],"preferred":false,"id":355986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":355984,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70007119,"text":"sir20115196 - 2011 - Potential water-quality effects of coal-bed methane production water discharged along the upper Tongue River, Wyoming and Montana","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20115196","displayToPublicDate":"2012-01-12T00:00:00","publicationYear":"2011","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":"2011-5196","title":"Potential water-quality effects of coal-bed methane production water discharged along the upper Tongue River, Wyoming and Montana","docAbstract":"Water quality in the upper Tongue River from Monarch, Wyoming, downstream to just upstream from the Tongue River Reservoir in Montana potentially could be affected by discharge of coal-bed methane (CBM) production water (hereinafter referred to as CBM discharge). CBM discharge typically contains high concentrations of sodium and other ions that could increase dissolved-solids (salt) concentrations, specific conductance (SC), and sodium-adsorption ratio (SAR) in the river. Increased inputs of sodium and other ions have the potential to alter the river's suitability for agricultural irrigation and aquatic ecosystems. Data from two large tributaries, Goose Creek and Prairie Dog Creek, indicate that these tributaries were large contributors to the increase in SC and SAR in the Tongue River. However, water-quality data were not available for most of the smaller inflows, such as small tributaries, irrigation-return flows, and CBM discharges. Thus, effects of these inflows on the water quality of the Tongue River were not well documented. Effects of these small inflows might be subtle and difficult to determine without more extensive data collection to describe spatial patterns. Therefore, synoptic water-quality sampling trips were conducted in September 2005 and April 2006 to provide a spatially detailed profile of the downstream changes in water quality in this reach of the Tongue River. The purpose of this report is to describe these downstream changes in water quality and to estimate the potential water-quality effects of CBM discharge in the upper Tongue River.
\n\nSpecific conductance of the Tongue River through the study reach increased from 420 to 625 microsiemens per centimeter (.μS/cm; or 49 percent) in the downstream direction in September 2005 and from 373 to 543 .μS/cm (46 percent) in April 2006. Large increases (12 to 24 percent) were measured immediately downstream from Goose Creek and Prairie Dog Creek during both sampling trips. Increases attributed to direct CBM discharges were smaller. In September 2005, the SC of 12 measured CBM discharges ranged from 1,750 to 2,440 .μS/cm, and the combined discharges increased SC in the river by an estimated 4.5 percent. In April 2006, the SC of eight measured CBM discharges ranged from 1,720 to 2,070 μS/cm; the largest of these discharges likely increased SC in the river by 5.8 percent.
\n\nEstimates of potential effects of the CBM discharges on the SC of the Tongue River near the Tongue River Reservoir were calculated using a two-step process involving linear regression and mass-balance calculations for a range of streamflow and CBM-discharge conditions. Potential effects from CBM discharges are larger increases of SC and SAR at lower flows than at higher flows and relative increases that are substantially smaller for SC than for SAR. For example, if the streamflow was 100 cubic feet per second (ft3/s) in the Tongue River near the Tongue River Reservoir and CBM discharge ranged from 1,250 to 5,000 gallons per minute, the projected increases would range from 4.4 to 16 percent for SC and from 39 to 151 percent for SAR. In comparison, if the streamflow was 600 ft3/s, the projected increases would range from 2.2 to 8.4 percent for SC and from 21 to 79 percent for SAR. This analysis of potential water-quality effects on the SC and SAR of the Tongue River in the study area assumes that the quantity and quality of water flowing into the study reach at the time of this study was the same as during the period before CBM development (data from water years 1985-99).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115196","usgsCitation":"Kinsey, S., and Nimick, D.A., 2011, Potential water-quality effects of coal-bed methane production water discharged along the upper Tongue River, Wyoming and Montana: U.S. Geological Survey Scientific Investigations Report 2011-5196, vi, 28 p., https://doi.org/10.3133/sir20115196.","productDescription":"vi, 28 p.","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":116432,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5196.png"},{"id":112460,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5196/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming;Montana","otherGeospatial":"Upper Tongue River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7f6be4b0c8380cd7ab08","contributors":{"authors":[{"text":"Kinsey, Stacy M. skinsey@usgs.gov","contributorId":1136,"corporation":false,"usgs":true,"family":"Kinsey","given":"Stacy M.","email":"skinsey@usgs.gov","affiliations":[],"preferred":true,"id":355864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nimick, David A. dnimick@usgs.gov","contributorId":421,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","middleInitial":"A.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355863,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007118,"text":"tm5B8 - 2011 - Colorimetric determination of nitrate plus nitrite in water by enzymatic reduction, automated discrete analyzer methods","interactions":[],"lastModifiedDate":"2012-02-02T00:15:58","indexId":"tm5B8","displayToPublicDate":"2012-01-12T00:00:00","publicationYear":"2011","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":"5-B8","title":"Colorimetric determination of nitrate plus nitrite in water by enzymatic reduction, automated discrete analyzer methods","docAbstract":"This report documents work at the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) to validate enzymatic reduction, colorimetric determinative methods for nitrate + nitrite in filtered water by automated discrete analysis. In these standard- and low-level methods (USGS I-2547-11 and I-2548-11), nitrate is reduced to nitrite with nontoxic, soluble nitrate reductase rather than toxic, granular, copperized cadmium used in the longstanding USGS automated continuous-flow analyzer methods I-2545-90 (NWQL laboratory code 1975) and I-2546-91 (NWQL laboratory code 1979). Colorimetric reagents used to determine resulting nitrite in aforementioned enzymatic- and cadmium-reduction methods are identical. The enzyme used in these discrete analyzer methods, designated AtNaR2 by its manufacturer, is produced by recombinant expression of the nitrate reductase gene from wall cress (Arabidopsis thaliana) in the yeast Pichia pastoris. Unlike other commercially available nitrate reductases we evaluated, AtNaR2 maintains high activity at 37°C and is not inhibited by high-phenolic-content humic acids at reaction temperatures in the range of 20°C to 37°C. These previously unrecognized AtNaR2 characteristics are essential for successful performance of discrete analyzer nitrate + nitrite assays (henceforth, DA-AtNaR2) described here.\nMethod detection levels (or limits; MDL) estimated for standard- and low-level DA-AtNaR2 nitrate + nitrite methods were 0.02 milligrams nitrogen per liter (mg-N/L) and 0.002 mg-N/L, respectively, which are comparable to 2010 NWQL long-term MDLs of the continuous-flow analyzer, cadmium-reduction methods (henceforth, CFA-CdR) they replace. Typically, reagent-water blanks for standard- and low-level DAAtNaR2 nitrate + nitrite methods are one half MDL or less. Nitrate + nitrite concentration differences for between-day replicates were 3 percent or less at or above 5 times the MDL and were as great as 35 percent near the MDL. Typically, nitrate spike recoveries from reagent water, surface water, groundwater, and high-phenolic-content, humic-acid-amended reagent water were 100±20 percent.\nIn addition to operational details and performance benchmarks for these new DA-AtNaR2 nitrate + nitrite assays, this report also provides results of interference studies for common inorganic and organic matrix constituents at 1, 10, and 100 times their median concentrations in surface-water and groundwater samples submitted annually to the NWQL for nitrate + nitrite analyses. Paired t-test and Wilcoxon signed-rank statistical analyses of results determined by CFA-CdR methods and DA-AtNaR2 methods indicate that nitrate concentration differences between population means or sign ranks were either statistically equivalent to zero at the 95 percent confidence level (p ≥ 0.05) or analytically equivalent to zero-that is, when p < 0.05, concentration differences between population means or medians were less than MDLs.","largerWorkType":{"id":4,"text":"Book"},"largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm5B8","collaboration":"Prepared by the U.S. Geological Survey Office of Water Quality, National Water Quality Laboratory","usgsCitation":"Patton, C.J., and Kryskalla, J.R., 2011, Colorimetric determination of nitrate plus nitrite in water by enzymatic reduction, automated discrete analyzer methods: U.S. Geological Survey Techniques and Methods 5-B8, Book 5, Chapter 8; Report: xii, 34 p., https://doi.org/10.3133/tm5B8.","productDescription":"Book 5, Chapter 8; Report: xii, 34 p.","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":116431,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_5_B8.png"},{"id":112459,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/05b08/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f7c8e4b0c8380cd4ccd7","contributors":{"authors":[{"text":"Patton, Charles J. cjpatton@usgs.gov","contributorId":809,"corporation":false,"usgs":true,"family":"Patton","given":"Charles","email":"cjpatton@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":355861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kryskalla, Jennifer R.","contributorId":91563,"corporation":false,"usgs":true,"family":"Kryskalla","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":355862,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}