{"pageNumber":"700","pageRowStart":"17475","pageSize":"25","recordCount":68919,"records":[{"id":70037782,"text":"70037782 - 2011 - Estimating water supply arsenic levels in the New England bladder cancer study","interactions":[],"lastModifiedDate":"2012-05-17T01:01:41","indexId":"70037782","displayToPublicDate":"2012-05-08T08:40:00","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":"Estimating water supply arsenic levels in the New England bladder cancer study","docAbstract":"

Background: Ingestion of inorganic arsenic in drinking water is recognized as a cause of bladder cancer when levels are relatively high (≥ 150 μg/L). The epidemiologic evidence is less clear at the low-to-moderate concentrations typically observed in the United States. Accurate retrospective exposure assessment over a long time period is a major challenge in conducting epidemiologic studies of environmental factors and diseases with long latency, such as cancer.

\n

Objective: We estimated arsenic concentrations in the water supplies of 2,611 participants in a population-based case–control study in northern New England.

\n

Methods: Estimates covered the lifetimes of most study participants and were based on a combination of arsenic measurements at the homes of the participants and statistical modeling of arsenic concentrations in the water supply of both past and current homes. We assigned a residential water supply arsenic concentration for 165,138 (95%) of the total 173,361 lifetime exposure years (EYs) and a workplace water supply arsenic level for 85,195 EYs (86% of reported occupational years).

\n

Results: Three methods accounted for 93% of the residential estimates of arsenic concentration: direct measurement of water samples (27%; median, 0.3 μg/L; range, 0.1–11.5), statistical models of water utility measurement data (49%; median, 0.4 μg/L; range, 0.3–3.3), and statistical models of arsenic concentrations in wells using aquifers in New England (17%; median, 1.6 μg/L; range, 0.6–22.4).

\n

Conclusions: We used a different validation procedure for each of the three methods, and found our estimated levels to be comparable with available measured concentrations. This methodology allowed us to calculate potential drinking water exposure over long periods.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Health Perspectives","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Institute of Environmental Health Sciences","publisherLocation":"Research Triangle Park, NC","doi":"10.1289/ehp.1002345","usgsCitation":"Nuckols, J.R., Beane Freeman, L.E., Lubin, J.H., Airola, M.S., Baris, D., Ayotte, J., Taylor, A., Paulu, C., Karagas, M.R., Colt, J., Ward, M.H., Huang, A., Bress, W., Cherala, S., Silverman, D.T., and Cantor, K.P., 2011, Estimating water supply arsenic levels in the New England bladder cancer study: Environmental Health Perspectives, v. 119, no. 9, p. 1279-1285, https://doi.org/10.1289/ehp.1002345.","productDescription":"7 p.","startPage":"1279","endPage":"1285","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":474741,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1289/ehp.1002345","text":"Publisher Index Page"},{"id":256866,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":256857,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1289/ehp.1002345","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"119","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b6de4b0c8380cd52704","contributors":{"authors":[{"text":"Nuckols, John R.","contributorId":87037,"corporation":false,"usgs":true,"family":"Nuckols","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":462714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beane Freeman, Laura E.","contributorId":69852,"corporation":false,"usgs":true,"family":"Beane Freeman","given":"Laura","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":462711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubin, Jay H.","contributorId":47251,"corporation":false,"usgs":true,"family":"Lubin","given":"Jay","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":462707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Airola, Matthew S.","contributorId":72668,"corporation":false,"usgs":true,"family":"Airola","given":"Matthew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":462712,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baris, Dalsu","contributorId":102344,"corporation":false,"usgs":true,"family":"Baris","given":"Dalsu","affiliations":[],"preferred":false,"id":462717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ayotte, Joseph D. jayotte@usgs.gov","contributorId":1802,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph D.","email":"jayotte@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":462703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taylor, Anne","contributorId":76194,"corporation":false,"usgs":true,"family":"Taylor","given":"Anne","affiliations":[],"preferred":false,"id":462713,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paulu, Chris","contributorId":30105,"corporation":false,"usgs":true,"family":"Paulu","given":"Chris","email":"","affiliations":[],"preferred":false,"id":462705,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karagas, Margaret R.","contributorId":53247,"corporation":false,"usgs":true,"family":"Karagas","given":"Margaret","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":462709,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Colt, Joanne","contributorId":36021,"corporation":false,"usgs":true,"family":"Colt","given":"Joanne","affiliations":[],"preferred":false,"id":462706,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ward, Mary H.","contributorId":92550,"corporation":false,"usgs":true,"family":"Ward","given":"Mary","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":462715,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Huang, An-Tsun","contributorId":58902,"corporation":false,"usgs":true,"family":"Huang","given":"An-Tsun","email":"","affiliations":[],"preferred":false,"id":462710,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bress, William","contributorId":21832,"corporation":false,"usgs":true,"family":"Bress","given":"William","email":"","affiliations":[],"preferred":false,"id":462704,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cherala, Sai","contributorId":94555,"corporation":false,"usgs":true,"family":"Cherala","given":"Sai","email":"","affiliations":[],"preferred":false,"id":462716,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Silverman, Debra T.","contributorId":105607,"corporation":false,"usgs":true,"family":"Silverman","given":"Debra","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":462718,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Cantor, Kenneth P.","contributorId":47252,"corporation":false,"usgs":true,"family":"Cantor","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":462708,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70038127,"text":"70038127 - 2011 - Understanding interaction effects of climate change and fire management on bird distributions through combined process and habitat models","interactions":[],"lastModifiedDate":"2019-03-25T10:51:18","indexId":"70038127","displayToPublicDate":"2012-05-07T21:12:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Understanding interaction effects of climate change and fire management on bird distributions through combined process and habitat models","docAbstract":"Avian conservation efforts must account for changes in vegetation composition and structure associated with climate change. We modeled vegetation change and the probability of occurrence of birds to project changes in winter bird distributions associated with climate change and fire management in the northern Chihuahuan Desert (southwestern U.S.A.). We simulated vegetation change in a process-based model (Landscape and Fire Simulator) in which anticipated climate change was associated with doubling of current atmospheric carbon dioxide over the next 50 years. We estimated the relative probability of bird occurrence on the basis of statistical models derived from field observations of birds and data on vegetation type, topography, and roads. We selected 3 focal species, Scaled Quail (Callipepla squamata), Loggerhead Shrike (Lanius ludovicianus), and Rock Wren (Salpinctes obsoletus), that had a range of probabilities of occurrence for our study area. Our simulations projected increases in relative probability of bird occurrence in shrubland and decreases in grassland and Yucca spp. and ocotillo (Fouquieria splendens) vegetation. Generally, the relative probability of occurrence of all 3 species was highest in shrubland because leaf-area index values were lower in shrubland. This high probability of occurrence likely is related to the species' use of open vegetation for foraging. Fire suppression had little effect on projected vegetation composition because as climate changed there was less fuel and burned area. Our results show that if future water limits on plant type are considered, models that incorporate spatial data may suggest how and where different species of birds may respond to vegetation changes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Conservation Biology","publisherLocation":"Washington, D.C.","doi":"10.1111/j.1523-1739.2011.01684.x","usgsCitation":"White, J., Gutzwiller, K.J., Barrow, W., Johnson-Randall, L., Zygo, L., and Swint, P., 2011, Understanding interaction effects of climate change and fire management on bird distributions through combined process and habitat models: Conservation Biology, v. 25, no. 3, p. 536-546, https://doi.org/10.1111/j.1523-1739.2011.01684.x.","productDescription":"11 p.","startPage":"536","endPage":"546","numberOfPages":"10","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":256855,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chihuahuan Desert","volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-04-28","publicationStatus":"PW","scienceBaseUri":"505bbc55e4b08c986b328b83","contributors":{"authors":[{"text":"White, Joseph D.","contributorId":56077,"corporation":false,"usgs":true,"family":"White","given":"Joseph D.","affiliations":[],"preferred":false,"id":463470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gutzwiller, Kevin J.","contributorId":101923,"corporation":false,"usgs":true,"family":"Gutzwiller","given":"Kevin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":463471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrow, Wylie C. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":1988,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","email":"barroww@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":463466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson-Randall, Lori 0000-0003-0100-994X","orcid":"https://orcid.org/0000-0003-0100-994X","contributorId":43604,"corporation":false,"usgs":true,"family":"Johnson-Randall","given":"Lori","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":463469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zygo, Lisa","contributorId":9898,"corporation":false,"usgs":true,"family":"Zygo","given":"Lisa","affiliations":[],"preferred":false,"id":463467,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Swint, Pamela","contributorId":32765,"corporation":false,"usgs":true,"family":"Swint","given":"Pamela","email":"","affiliations":[],"preferred":false,"id":463468,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70038312,"text":"sir20115172 - 2011 - Comparison of load estimation techniques and trend analysis for nitrogen, phosphorus, and suspended sediment in the Eucha-Spavinaw Basin, northwestern Arkansas and northeastern Oklahoma, 2002-10","interactions":[],"lastModifiedDate":"2020-02-26T17:27:02","indexId":"sir20115172","displayToPublicDate":"2012-05-07T14:02:00","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":"2011-5172","title":"Comparison of load estimation techniques and trend analysis for nitrogen, phosphorus, and suspended sediment in the Eucha-Spavinaw Basin, northwestern Arkansas and northeastern Oklahoma, 2002-10","docAbstract":"

The City of Tulsa, Oklahoma, uses water from Lake Eucha and Spavinaw Lake in the Eucha-Spavinaw basin of northwestern Arkansas and northeastern Oklahoma for public water supply. Increases in algal biomass, which cause taste and odor problems in drinking water produced from the lakes, may be attributable to increases in nitrogen and phosphorus concentrations in the lakes and in streams discharging to the lakes. To evaluate transport of nitrogen, phosphorus, and suspended sediment in this basin, loads and temporal trends were evaluated for five streamflow-gaging stations in the Spavinaw and Beaty Creek basins.

\n

Two approaches were used to develop regression equations for estimation of loads and yields of nitrogen, phosphorus, and sediment. The first approach used regression equations referred to as daily mean load (DML) regressions, developed from water-quality samples and daily mean streamflow data collected from 2002 through 2010 at five streamflow-gaging stations in the basin. This approach was updated to compare loading results with those used in previous investigations. The second approach used regression equations, referred to as instantaneous continuous (INSTC) regressions, developed from continuous measurements of physical water-quality constituents (specific conductance, temperature, and turbidity, and streamflow data) obtained from 2004 through 2010 to estimate loads of nitrogen, phosphorus, and sediment at two of the streamflow-gaging stations, Spavinaw Creek near Colcord, Okla., and Beaty Creek near Jay, Okla. Daily, annual, and mean annual loads estimated from these two regression methods were compared for the period 2005–10.

\n

Based on estimates obtained using DML regressions, mean annual loads of 1,640,000 pounds of nitrogen, 99,900 pounds of phosphorus, and 116,000,000 pounds of sediment were transported into Lake Eucha from the Spavinaw and Beaty Creek basins. Estimated annual loads of nitrogen and phosphorus delivered to Lake Eucha from the Spavinaw and Beaty Creek basins during 2002–10 were 2.5 to 7.8 percent less, respectively, than the loads of those constituents discharged to Lake Eucha from 2002–09, indicating that nitrogen and phosphorus loads in 2010 were less than loads typical for the period 2002–09.

\n

Daily, annual, and mean annual load estimates varied substantially, depending on streamflow conditions and the independent variables used to develop regressions. Daily and annual loads estimated from INSTC regressions that included turbidity, streamflow, temperature, specific conductance, and seasonality fit better with the field data than loads estimated from DML regressions that included streamflow, seasonality, and time. Loads estimated from the INSTC regression generally were greater than those estimated from the DML regression. Relative percent differences in the mean annual total nitrogen load estimated by the INSTC and DML regressions were within 2 percent for Spavinaw Creek near Colcord, and Beaty Creek near Jay, Okla. The relative percent difference between the two types of regressions for estimates of mean annual total phosphorus loads at the two streamflow-gaging stations was 27.7 for Spavinaw Creek near Colcord, Okla., and only -2.6 percent for Beaty Creek near Jay, Okla. The relative percent difference between mean annual suspended-sediment loads at the streamflow-gaging stations was -38.6 percent for Spavinaw Creek near Colcord, Okla., and -122.7 percent for Beaty Creek near Jay, Okla. The DML regression may have substantially underestimated phosphorus load at the Spavinaw Creek near Colcord, Okla., streamflow-gaging station in wet years and overestimated sediment load at both streamflow-gaging stations in wet years.

\n

Temporal trends in flow-adjusted nitrate-nitrogen, nitrogen, phosphorus, and suspended-sediment concentrations were analyzed for the five streamflow-gaging stations for the period 2001–10. No significant trends were observed for nitrate plus nitrite-nitrogen or total nitrogen concentrations at any streamflow-gaging station. There were significant upward trends in phosphorus concentrations in water samples collected during base-flow conditions at the Spavinaw Creek near Maysville, Okla., streamflow-gaging station and during runoff conditions for the Beaty Creek near Jay, Okla., streamflow-gaging station (3.5 to 4.2 percent per year). There were significant downward trends in phosphorus concentrations in base-flow and runoff samples collected at the Spavinaw Creek near Cherokee City, Sycamore, and Colcord, Okla., streamflow-gaging stations (-4.9 to -12.9 percent per year). There were significant downward trends in suspended-sediment concentration at the Spavinaw Creek near Maysville, and Sycamore, Okla., and the Beaty Creek near Jay, Okla., streamflow-gaging stations (-1.5 to -1.8 percent per year). No significant trends were detected in suspended-sediment concentration for the Spavinaw Creek near Cherokee City, and Colcord, Okla., streamflow-gaging stations.

\n

Possible causes for downward trends in phosphorus concentrations include decreases in phosphorus discharges from a wastewater-treatment plant upstream from the Spavinaw Creek near Cherokee City, Okla., streamflow-gaging station, and implementation of best management practices in the basin. Downward trends in sediment concentrations may be related to effects of best management practices in the basin.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115172","collaboration":"Prepared in cooperation with the City of Tulsa, Oklahoma","usgsCitation":"Esralew, R.A., Andrews, W.J., Allen, M.L., and Becker, C., 2011, Comparison of load estimation techniques and trend analysis for nitrogen, phosphorus, and suspended sediment in the Eucha-Spavinaw Basin, northwestern Arkansas and northeastern Oklahoma, 2002-10: U.S. Geological Survey Scientific Investigations Report 2011-5172, viii, 60 p., https://doi.org/10.3133/sir20115172.","productDescription":"viii, 60 p.","numberOfPages":"68","temporalStart":"2002-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":254701,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5172.gif"},{"id":254694,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5172/SIR11-5172.pdf"}],"country":"United States","state":"Arkansas, Oklahoma","otherGeospatial":"Eucha-Pavinaw Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.08333333333333,36.2 ], [ -95.08333333333333,36.5 ], [ -94.25,36.5 ], [ -94.25,36.2 ], [ -95.08333333333333,36.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f86fe4b0c8380cd4d0d8","contributors":{"authors":[{"text":"Esralew, Rachel A.","contributorId":104862,"corporation":false,"usgs":true,"family":"Esralew","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, William J. 0000-0003-4780-8835 wandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":328,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"wandrews@usgs.gov","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Monica L.","contributorId":43065,"corporation":false,"usgs":true,"family":"Allen","given":"Monica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":463845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Becker, Carol 0000-0001-6652-4542 cjbecker@usgs.gov","orcid":"https://orcid.org/0000-0001-6652-4542","contributorId":2489,"corporation":false,"usgs":true,"family":"Becker","given":"Carol","email":"cjbecker@usgs.gov","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463844,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70006313,"text":"70006313 - 2011 - Effects of biologically-active chemical mixtures on fish in a wastewater-impacted urban stream","interactions":[],"lastModifiedDate":"2020-01-14T10:05:37","indexId":"70006313","displayToPublicDate":"2012-05-06T19:55:00","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}},"title":"Effects of biologically-active chemical mixtures on fish in a wastewater-impacted urban stream","docAbstract":"Stream flow in urban aquatic ecosystems often is maintained by water-reclamation plant (WRP) effluents that contain mixtures of natural and anthropogenic chemicals that persist through the treatment processes. In effluent-impactedstreams, aquatic organisms such as fish are continuously exposed to biologically-activechemicals throughout their life cycles. The North Shore Channel of the Chicago River (Chicago, Illinois) is part of an urban ecosystem in which > 80% of the annual flow consists of effluent from the North Side WRP. In this study, multiple samplings of the effluent and stream water were conducted and fish (largemouth bass and carp) were collected on 2 occasions from the North Shore Channel. Fish also were collected once from the Outer Chicago Harbor in Lake Michigan, a reference site not impacted by WRP discharges. Over 100 organic chemicals with differing behaviors and biological effects were measured, and 23 compounds were detected in all of the water samples analyzed. The most frequently detected and highest concentration (> 100 μg/L) compounds were ethylenediaminetetraacetic acid and 4-nonylphenolmono-to-tetraethoxycarboxylic acids. Other biologically-activechemicals including bisphenol A, 4-nonylphenol, 4-nonylphenolmono-to-tetraethoxylates, 4-tert-octylphenol, and 4-tert-octylphenolmono-to-tetraethoxylates were detected at lower concentrations (< 5 μg/L). The biogenic steroidal hormones 17β-estradiol, estrone, testosterone, 4-androstene-3,17-dione, and cis-androsterone were detected at even lower concentrations (< 0.005 μg/L). There were slight differences in concentrations between the North Side WRP effluent and the North Shore Channel, indicating minimal in-stream attenuation. Fish populations are continuously exposed to mixtures of biologically-activechemicals because of the relative persistency of the chemicals with respect to stream hydraulic residence time, and the lack of a fresh water source for dilution. The majority of male fish exhibited vitellogenin induction, a physiological response consistent with exposure to estrogenic compounds. Tissue-level signs of reproductive disruption, such as ovatestis, were not observed.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2011.06.039","usgsCitation":"Barber, L.B., Brown, G., Nettesheim, T.G., Murphy, E.W., Bartell, S.E., and Schoenfuss, H.L., 2011, Effects of biologically-active chemical mixtures on fish in a wastewater-impacted urban stream: Science of the Total Environment, v. 409, no. 22, p. 4720-4728, https://doi.org/10.1016/j.scitotenv.2011.06.039.","productDescription":"9 p.","startPage":"4720","endPage":"4728","numberOfPages":"8","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":254779,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","city":"Chicago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.5223388671875,\n 41.52502957323801\n ],\n [\n -87.5885009765625,\n 41.52502957323801\n ],\n [\n -87.5885009765625,\n 42.49640294093705\n ],\n [\n -88.5223388671875,\n 42.49640294093705\n ],\n [\n -88.5223388671875,\n 41.52502957323801\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"409","issue":"22","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0698e4b0c8380cd5130e","contributors":{"authors":[{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":354299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Gregory K.","contributorId":8984,"corporation":false,"usgs":true,"family":"Brown","given":"Gregory K.","affiliations":[],"preferred":false,"id":354300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nettesheim, Todd G.","contributorId":85848,"corporation":false,"usgs":true,"family":"Nettesheim","given":"Todd","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":354304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Elizabeth W.","contributorId":78999,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":354303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartell, Stephen E.","contributorId":54445,"corporation":false,"usgs":false,"family":"Bartell","given":"Stephen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":354301,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":354302,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70038055,"text":"70038055 - 2011 - Selective uptake and biological consequences of environmentally relevant antidepressant pharmaceutical exposures on male fathead minnows","interactions":[],"lastModifiedDate":"2021-05-27T18:20:33.233002","indexId":"70038055","displayToPublicDate":"2012-05-06T19:43:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Selective uptake and biological consequences of environmentally relevant antidepressant pharmaceutical exposures on male fathead minnows","docAbstract":"Antidepressant pharmaceuticals have been reported in wastewater effluent at the nanogram to low microgram-per-liter range, and include bupropion (BUP), fluoxetine (FLX), sertraline (SER), and venlafaxine (VEN). To assess the effects of antidepressants on reproductive anatomy, physiology, and behavior, adult male fathead minnows (Pimeplwles promelas) were exposed for 21 days either to a single concentration of the antidepressants FLX, SER, VEN, or BUP, or to an antidepressant mixture. The data demonstrated that exposure to VEN (305 ng/L and 1104 ng/L) and SER (5.2 ng/L) resulted in mortality. Anatomical alterations were noted within the testes of fish exposed to SER and FLX, both modulators of the neurotransmitter serotonin. Additionally, FLX at 28 ng/L induced vitellogenin in male fish—a common endpoint for estrogenic endocrine disruption. Significant alterations in male secondary sex characteristics were noted with single exposures. Effects of single compound exposures neither carried over, nor became additive in the antidepressant mixtures, and reproductive behavior was not affected. Analysis of brain tissues from the exposed fish suggested increased uptake of FLX, SER and BUP and minimal uptake of VEN when compared to exposure water concentrations. Furthermore, the only metabolite detected consistently in the brain tissues was norfluoxetine. Similar trends of uptake by brain tissue were observed when fish were exposed to antidepressant mixtures. The present study demonstrates that anatomy and physiology, but not reproductive behavior, can be disrupted by exposure to environmental concentrations of some antidepressants. The observation that antidepressant uptake into fish tissues is selective may have consequences on assessing the mode-of-action and effects of these compounds in future studies.","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2011.03.011","usgsCitation":"Schultz, M.M., Painter, M.M., Bartell, S.E., Logue, A., Furlong, E.T., Werner, S.L., and Schoenfuss, H.L., 2011, Selective uptake and biological consequences of environmentally relevant antidepressant pharmaceutical exposures on male fathead minnows: Aquatic Toxicology, v. 104, no. 1-2, p. 38-47, https://doi.org/10.1016/j.aquatox.2011.03.011.","productDescription":"10 p.","startPage":"38","endPage":"47","costCenters":[{"id":140,"text":"Branch of Analytical Serv (National Water Quality Laboratory)","active":false,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":386010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8ce2e4b08c986b318197","contributors":{"authors":[{"text":"Schultz, Melissa M.","contributorId":52013,"corporation":false,"usgs":true,"family":"Schultz","given":"Melissa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Painter, Meghan M.","contributorId":68145,"corporation":false,"usgs":true,"family":"Painter","given":"Meghan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartell, Stephen E.","contributorId":54445,"corporation":false,"usgs":false,"family":"Bartell","given":"Stephen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":463356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Logue, Amanda","contributorId":9504,"corporation":false,"usgs":true,"family":"Logue","given":"Amanda","email":"","affiliations":[],"preferred":false,"id":463354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":463352,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Werner, Stephen L. slwerner@usgs.gov","contributorId":1199,"corporation":false,"usgs":true,"family":"Werner","given":"Stephen","email":"slwerner@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":463353,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":463358,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70037951,"text":"sir20115144 - 2011 - Peak-flow characteristics of Virginia streams","interactions":[],"lastModifiedDate":"2018-02-26T13:18:18","indexId":"sir20115144","displayToPublicDate":"2012-04-04T00:00:00","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":"2011-5144","title":"Peak-flow characteristics of Virginia streams","docAbstract":"Peak-flow annual exceedance probabilities, also called probability-percent chance flow estimates, and regional regression equations are provided describing the peak-flow characteristics of Virginia streams. Statistical methods are used to evaluate peak-flow data. Analysis of Virginia peak-flow data collected from 1895 through 2007 is summarized. Methods are provided for estimating unregulated peak flow of gaged and ungaged streams. Station peak-flow characteristics identified by fitting the logarithms of annual peak flows to a Log Pearson Type III frequency distribution yield annual exceedance probabilities of 0.5, 0.4292, 0.2, 0.1, 0.04, 0.02, 0.01, 0.005, and 0.002 for 476 streamgaging stations. Stream basin characteristics computed using spatial data and a geographic information system are used as explanatory variables in regional regression model equations for six physiographic regions to estimate regional annual exceedance probabilities at gaged and ungaged sites. Weighted peak-flow values that combine annual exceedance probabilities computed from gaging station data and from regional regression equations provide improved peak-flow estimates. Text, figures, and lists are provided summarizing selected peak-flow sites, delineated physiographic regions, peak-flow estimates, basin characteristics, regional regression model equations, error estimates, definitions, data sources, and candidate regression model equations. This study supersedes previous studies of peak flows in Virginia.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115144","collaboration":"Prepared in cooperation with the Virginia Department of Transportation","usgsCitation":"Austin, S.H., Krstolic, J.L., and Wiegand, U., 2011, Peak-flow characteristics of Virginia streams: U.S. Geological Survey Scientific Investigations Report 2011-5144, iv, 106 p.; Tables 1-6; Appendices, https://doi.org/10.3133/sir20115144.","productDescription":"iv, 106 p.; Tables 1-6; Appendices","temporalStart":"1895-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":598,"text":"U.S. Geological Survey, Richmond, VA","active":false,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":254426,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5144.gif"},{"id":254424,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5144/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.61666666666666,36.516666666666666 ], [ -83.61666666666666,39.61666666666667 ], [ -75.21666666666667,39.61666666666667 ], [ -75.21666666666667,36.516666666666666 ], [ -83.61666666666666,36.516666666666666 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7613e4b0c8380cd77eea","contributors":{"authors":[{"text":"Austin, Samuel H. 0000-0001-5626-023X saustin@usgs.gov","orcid":"https://orcid.org/0000-0001-5626-023X","contributorId":153,"corporation":false,"usgs":true,"family":"Austin","given":"Samuel","email":"saustin@usgs.gov","middleInitial":"H.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":463140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krstolic, Jennifer L. 0000-0003-2253-9886 jkrstoli@usgs.gov","orcid":"https://orcid.org/0000-0003-2253-9886","contributorId":3677,"corporation":false,"usgs":true,"family":"Krstolic","given":"Jennifer","email":"jkrstoli@usgs.gov","middleInitial":"L.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiegand, Ute","contributorId":76412,"corporation":false,"usgs":true,"family":"Wiegand","given":"Ute","email":"","affiliations":[],"preferred":false,"id":463142,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037857,"text":"70037857 - 2011 - Comparison of two parametric methods to estimate pesticide mass loads in California's Central Valley","interactions":[],"lastModifiedDate":"2018-11-20T12:41:13","indexId":"70037857","displayToPublicDate":"2012-03-25T15:07:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of two parametric methods to estimate pesticide mass loads in California's Central Valley","docAbstract":"Mass loadings were calculated for four pesticides in two watersheds with different land uses in the Central Valley, California, by using two parametric models: (1) the Seasonal Wave model (SeaWave), in which a pulse signal is used to describe the annual cycle of pesticide occurrence in a stream, and (2) the Sine Wave model, in which first-order Fourier series sine and cosine terms are used to simulate seasonal mass loading patterns. The models were applied to data collected during water years 1997 through 2005. The pesticides modeled were carbaryl, diazinon, metolachlor, and molinate. Results from the two models show that the ability to capture seasonal variations in pesticide concentrations was affected by pesticide use patterns and the methods by which pesticides are transported to streams. Estimated seasonal loads compared well with results from previous studies for both models. Loads estimated by the two models did not differ significantly from each other, with the exceptions of carbaryl and molinate during the precipitation season, where loads were affected by application patterns and rainfall. However, in watersheds with variable and intermittent pesticide applications, the SeaWave model is more suitable for use on the basis of its robust capability of describing seasonal variation of pesticide concentrations.","language":"English","publisher":"American Water Resources Association","publisherLocation":"Middleburg, VA","doi":"10.1111/j.1752-1688.2010.00506.x","usgsCitation":"Saleh, D.K., Lorenz, D.L., and Domagalski, J.L., 2011, Comparison of two parametric methods to estimate pesticide mass loads in California's Central Valley: Journal of the American Water Resources Association, v. 47, no. 2, p. 254-264, https://doi.org/10.1111/j.1752-1688.2010.00506.x.","productDescription":"11 p.","startPage":"254","endPage":"264","numberOfPages":"11","temporalStart":"1996-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":246930,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","volume":"47","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-06","publicationStatus":"PW","scienceBaseUri":"5059f8bae4b0c8380cd4d263","contributors":{"authors":[{"text":"Saleh, Dina K. 0000-0002-1406-9303","orcid":"https://orcid.org/0000-0002-1406-9303","contributorId":24737,"corporation":false,"usgs":false,"family":"Saleh","given":"Dina","email":"","middleInitial":"K.","affiliations":[{"id":16706,"text":"California State University, CA","active":true,"usgs":false}],"preferred":false,"id":462890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, David L. 0000-0003-3392-4034 lorenz@usgs.gov","orcid":"https://orcid.org/0000-0003-3392-4034","contributorId":1384,"corporation":false,"usgs":true,"family":"Lorenz","given":"David","email":"lorenz@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Domagalski, Joseph L. 0000-0002-6032-757X joed@usgs.gov","orcid":"https://orcid.org/0000-0002-6032-757X","contributorId":1330,"corporation":false,"usgs":true,"family":"Domagalski","given":"Joseph","email":"joed@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462888,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037903,"text":"70037903 - 2011 - Redox chemistry and natural organic matter (NOM): Geochemists' dream, analytical chemists' nightmare","interactions":[],"lastModifiedDate":"2021-01-05T14:45:52.493416","indexId":"70037903","displayToPublicDate":"2012-03-25T10:41:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":612,"text":"ACS Symposium Series","active":true,"publicationSubtype":{"id":10}},"title":"Redox chemistry and natural organic matter (NOM): Geochemists' dream, analytical chemists' nightmare","docAbstract":"

Natural organic matter (NOM) is an inherently complex mixture of polyfunctional organic molecules. Because of their universality and chemical reversibility, oxidation/reductions (redox) reactions of NOM have an especially interesting and important role in geochemistry. Variabilities in NOM composition and chemistry make studies of its redox chemistry particularly challenging, and details of NOM-mediated redox reactions are only partially understood. This is in large part due to the analytical difficulties associated with NOM characterization and the wide range of reagents and experimental systems used to study NOM redox reactions. This chapter provides a summary of the ongoing efforts to provide a coherent comprehension of aqueous redox chemistry involving NOM and of techniques for chemical characterization of NOM. It also describes some attempts to confirm the roles of different structural moieties in redox reactions. In addition, we discuss some of the operational parameters used to describe NOM redox capacities and redox states, and describe nomenclature of NOM redox chemistry. Several relatively facile experimental methods applicable to predictions of the NOM redox activity and redox states of NOM samples are discussed, with special attention to the proposed use of fluorescence spectroscopy to predict relevant redox characteristics of NOM samples.

","language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/bk-2011-1071.ch005","usgsCitation":"Macalady, D.L., and Walton-Day, K., 2011, Redox chemistry and natural organic matter (NOM): Geochemists' dream, analytical chemists' nightmare: ACS Symposium Series, v. 1071, p. 85-111, https://doi.org/10.1021/bk-2011-1071.ch005.","productDescription":"27 p.","startPage":"85","endPage":"111","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":246910,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1071","noUsgsAuthors":false,"publicationDate":"2011-09-02","publicationStatus":"PW","scienceBaseUri":"50e4a3bce4b0e8fec6cdb955","contributors":{"authors":[{"text":"Macalady, Donald L.","contributorId":62049,"corporation":false,"usgs":true,"family":"Macalady","given":"Donald","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":463000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walton-Day, Katherine 0000-0002-9146-6193","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":68339,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","affiliations":[],"preferred":false,"id":463001,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037776,"text":"70037776 - 2011 - Application of a new vertical profiling tool (ESASS) for sampling groundwater quality during hollow-stem auger drilling","interactions":[],"lastModifiedDate":"2013-02-24T11:14:34","indexId":"70037776","displayToPublicDate":"2012-03-25T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1864,"text":"Ground Water Monitoring and Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Application of a new vertical profiling tool (ESASS) for sampling groundwater quality during hollow-stem auger drilling","docAbstract":"A new tool called ESASS (Enhanced Screen Auger Sampling System) was developed by the U.S. Geological Survey. The use of ESASS, because of its unique U.S. patent design (U.S. patent no. 7,631,705 B1), allows for the collection of representative, depth-specific groundwater samples (vertical profiling) in a quick and efficient manner using a 0.305-m long screen auger during hollow-stem auger drilling. With ESASS, the water column in the flights above the screen auger is separated from the water in the screen auger by a specially designed removable plug and collar. The tool fits inside an auger of standard inner diameter (82.55 mm). The novel design of the system constituted by the plug, collar, and A-rod allows the plug to be retrieved using conventional drilling A-rods. After retrieval, standard-diameter (50.8 mm) observation wells can be installed within the hollow-stem augers. Testing of ESASS was conducted at one waste-disposal site with tetrachloroethylene (PCE) contamination and at two reference sites with no known waste-disposal history. All three sites have similar geology and are underlain by glacial, stratified-drift deposits. For the applications tested, ESASS proved to be a useful tool in vertical profiling of groundwater quality. At the waste site, PCE concentrations measured with ESASS profiling at several depths were comparable (relative percent difference <25%) to PCE concentrations sampled from wells. Vertical profiling with ESASS at the reference sites illustrated the vertical resolution achievable in the profile system; shallow groundwater quality varied by a factor of five in concentration of some constituents (nitrate and nitrite) over short (0.61 m) distances.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water Monitoring and Remediation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Ground Water Assocaition","publisherLocation":"Westerville, OH","doi":"10.1111/j.1745-6592.2011.01326.x","usgsCitation":"Harte, P.T., and Flanagan, S., 2011, Application of a new vertical profiling tool (ESASS) for sampling groundwater quality during hollow-stem auger drilling: Ground Water Monitoring and Remediation, v. 31, no. 1, p. 86-98, https://doi.org/10.1111/j.1745-6592.2011.01326.x.","productDescription":"13 p.","startPage":"86","endPage":"98","numberOfPages":"13","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":246934,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":246919,"rank":100,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6592.2011.01326.x","linkFileType":{"id":5,"text":"html"}}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-18","publicationStatus":"PW","scienceBaseUri":"5059ec90e4b0c8380cd4934a","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flanagan, Sarah M.","contributorId":8492,"corporation":false,"usgs":true,"family":"Flanagan","given":"Sarah M.","affiliations":[],"preferred":false,"id":462683,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70009691,"text":"70009691 - 2011 - Sudden clearing of estuarine waters upon crossing the threshold from transport to supply regulation of sediment transport as an erodible sediment pool is depleted: San Francisco Bay, 1999","interactions":[],"lastModifiedDate":"2017-10-30T13:30:30","indexId":"70009691","displayToPublicDate":"2012-03-18T16:14:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Sudden clearing of estuarine waters upon crossing the threshold from transport to supply regulation of sediment transport as an erodible sediment pool is depleted: San Francisco Bay, 1999","docAbstract":"The quantity of suspended sediment in an estuary is regulated either by transport, where energy or time needed to suspend sediment is limiting, or by supply, where the quantity of erodible sediment is limiting. This paper presents a hypothesis that suspended-sediment concentration (SSC) in estuaries can suddenly decrease when the threshold from transport to supply regulation is crossed as an erodible sediment pool is depleted. This study was motivated by a statistically significant 36% step decrease in SSC in San Francisco Bay from water years 1991–1998 to 1999–2007. A quantitative conceptual model of an estuary with an erodible sediment pool and transport or supply regulation of sediment transport is developed. Model results confirm that, if the regulation threshold was crossed in 1999, SSC would decrease rapidly after water year 1999 as observed. Estuaries with a similar history of a depositional sediment pulse followed by erosion may experience sudden clearing.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s12237-011-9382-x","usgsCitation":"Schoellhamer, D., 2011, Sudden clearing of estuarine waters upon crossing the threshold from transport to supply regulation of sediment transport as an erodible sediment pool is depleted: San Francisco Bay, 1999: Estuaries and Coasts, v. 34, no. 5, p. 885-899, https://doi.org/10.1007/s12237-011-9382-x.","productDescription":"15 p.","startPage":"885","endPage":"899","temporalStart":"1999-01-01","temporalEnd":"1999-12-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":246845,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","volume":"34","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-02-19","publicationStatus":"PW","scienceBaseUri":"505b9dade4b08c986b31d9cd","contributors":{"authors":[{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356868,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037767,"text":"70037767 - 2011 - Statistical models of temperature in the Sacramento-San Joaquin Delta under climate-change scenarios and ecological implications","interactions":[],"lastModifiedDate":"2017-10-30T12:41:24","indexId":"70037767","displayToPublicDate":"2012-03-18T15:49:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Statistical models of temperature in the Sacramento-San Joaquin Delta under climate-change scenarios and ecological implications","docAbstract":"Changes in water temperatures caused by climate change in California's Sacramento–San Joaquin Delta will affect the ecosystem through physiological rates of fishes and invertebrates. This study presents statistical models that can be used to forecast water temperature within the Delta as a response to atmospheric conditions. The daily average model performed well (R2 values greater than 0.93 during verification periods) for all stations within the Delta and San Francisco Bay provided there was at least 1 year of calibration data. To provide long-term projections of Delta water temperature, we forced the model with downscaled data from climate scenarios. Based on these projections, the ecological implications for the delta smelt, a key species, were assessed based on temperature thresholds. The model forecasts increases in the number of days above temperatures causing high mortality (especially along the Sacramento River) and a shift in thermal conditions for spawning to earlier in the year.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s12237-010-9369-z","usgsCitation":"Wagner, R.W., Stacey, M., Brown, L.R., and Dettinger, M., 2011, Statistical models of temperature in the Sacramento-San Joaquin Delta under climate-change scenarios and ecological implications: Estuaries and Coasts, v. 34, no. 3, p. 544-556, https://doi.org/10.1007/s12237-010-9369-z.","productDescription":"13 p.","startPage":"544","endPage":"556","numberOfPages":"13","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":474750,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-010-9369-z","text":"Publisher Index Page"},{"id":246841,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Delta;San Joaquin Delta","volume":"34","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-02-01","publicationStatus":"PW","scienceBaseUri":"505b9736e4b08c986b31b954","contributors":{"authors":[{"text":"Wagner, R. 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SPAtially Referenced Regressions On Watershed attributes (SPARROW) nutrient models were developed for the Northeastern and Mid-Atlantic (NE US) regions of the United States to represent source conditions for the year 2002. The model developed to examine the source and delivery of nitrogen to the estuaries of nine large rivers along the NE US Seaboard indicated that agricultural sources contribute the largest percentage (37%) of the total nitrogen load delivered to the estuaries. Point sources account for 28% while atmospheric deposition accounts for 20%. A second SPARROW model was used to examine the sources and delivery of phosphorus to lakes and reservoirs throughout the NE US. The greatest attenuation of phosphorus occurred in lakes that were large relative to the size of their watershed. Model results show that, within the NE US, aquatic decay of nutrients is quite limited on an annual basis and that we especially cannot rely on natural attenuation to remove nutrients within the larger rivers nor within lakes with large watersheds relative to the size of the lake.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Water Resources Association","publisherLocation":"Middleburg, VA","doi":"10.1111/j.1752-1688.2011.00582.x","usgsCitation":"Moore, R.B., Johnston, C.M., Smith, R.A., and Milstead, B., 2011, Source and delivery of nutrients to receiving waters in the Northeastern and Mid-Atlantic regions of the United States: Journal of the American Water Resources Association, v. 47, no. 5, p. 965-990, https://doi.org/10.1111/j.1752-1688.2011.00582.x.","productDescription":"26 p.","startPage":"965","endPage":"990","numberOfPages":"26","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":474752,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00582.x","text":"Publisher Index Page"},{"id":246838,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":246823,"rank":100,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00582.x","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505b931be4b08c986b31a2c0","contributors":{"authors":[{"text":"Moore, Richard B. rmoore@usgs.gov","contributorId":1464,"corporation":false,"usgs":true,"family":"Moore","given":"Richard","email":"rmoore@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnston, Criag M.","contributorId":68148,"corporation":false,"usgs":true,"family":"Johnston","given":"Criag","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":462701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Richard A. 0000-0003-2117-2269 rsmith1@usgs.gov","orcid":"https://orcid.org/0000-0003-2117-2269","contributorId":580,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rsmith1@usgs.gov","middleInitial":"A.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":462699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milstead, Bryan","contributorId":102723,"corporation":false,"usgs":true,"family":"Milstead","given":"Bryan","email":"","affiliations":[],"preferred":false,"id":462702,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70009687,"text":"ofr20111168 - 2011 - Physical and chemical characteristics including total and geochemical forms of phosphorus in sediment from the top 30 centimeters of cores collected in October 2006 at 26 sites in Upper Klamath Lake, Oregon","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"ofr20111168","displayToPublicDate":"2012-03-08T00:00:00","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":"2011-1168","title":"Physical and chemical characteristics including total and geochemical forms of phosphorus in sediment from the top 30 centimeters of cores collected in October 2006 at 26 sites in Upper Klamath Lake, Oregon","docAbstract":"μThis study of phosphorus (P) cycling in eutrophic Upper Klamath Lake (UKL), Oregon, was conducted by the U.S. Geological Survey in cooperation with the U.S. Bureau of Reclamation. Lakebed sediments from the upper 30 centimeters (cm) of cores collected from 26 sites were characterized. Cores were sampled at 0.5, 1.5, 2.5, 3.5, 4.5, 10, 15, 20, 25, and 30 cm. Prior to freezing, water content and sediment pH were determined. After being freeze-dried, all samples were separated into greater than 63-micron (μm) particle-size (coarse) and less than 63-μm particle-size (fine) fractions. In the surface samples (0.5 to 4.5 cm below the sediment water interface), approximately three-fourths of the particles were larger than 63-μm. The ratios of the coarse particle-size fraction (>63 μm) and the fine particle-size fraction (<63 μm) were approximately equal in samples at depths greater than 10 cm below the sediment water interface. Chemical analyses included both size fractions of freeze-dried samples. Chemical analyses included determination of total concentrations of aluminum (Al), calcium (Ca), carbon (C), iron (Fe), poorly crystalline Fe, nitrogen (N), P, and titanium (Ti). Total Fe concentrations were the largest in sediment from the northern portion of UKL, Howard Bay, and the southern portion of the lake. Concentrations of total Al, Ca, and Ti were largest in sediment from the northern, central, and southernmost portions of the lake and in sediment from Howard Bay. Concentrations of total C and N were largest in sediment from the embayments and in sediment from the northern arm and southern portion of the lake in the general region of Buck Island. Concentrations of total C were larger in the greater than 63-μm particle-size fraction than in the less than 63-μm particle-size fraction. Sediments were sequentially extracted to determine concentrations of inorganic forms of P, including loosely sorbed P, P associated with poorly crystalline Fe oxides, and P associated with mineral phases. The difference between the concentration of total P and sum of the concentrations of inorganic forms of P is referred to as residual P. Residual P was the largest fraction of P in all of the sediment samples. In UKL, the correlation between concentrations of total P and total Fe in sediment is poor (R2<0.1). The correlation between the concentrations of total P and P associated with poorly crystalline Fe oxides is good (R2=0.43) in surface sediment (0.5-4.5 cm below the sediment water interface) but poor (R2<0.1) in sediments at depths between 10 cm and 30 cm. Phosphorus associated with poorly crystalline Fe oxides is considered bioavailable because it is released when sediment conditions change from oxidizing to reducing, which causes dissolution of Fe oxides.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111168","collaboration":"Prepared in cooperation with the U.S. Bureau of Reclamation","usgsCitation":"Simon, N.S., and Ingle, S.N., 2011, Physical and chemical characteristics including total and geochemical forms of phosphorus in sediment from the top 30 centimeters of cores collected in October 2006 at 26 sites in Upper Klamath Lake, Oregon: U.S. Geological Survey Open-File Report 2011-1168, v, 49 p., https://doi.org/10.3133/ofr20111168.","productDescription":"v, 49 p.","onlineOnly":"Y","costCenters":[{"id":410,"text":"National Center","active":false,"usgs":true}],"links":[{"id":204870,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1168/","linkFileType":{"id":5,"text":"html"}},{"id":204871,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1168.gif"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.5,42 ], [ -124.5,46.25 ], [ -116.75,46.25 ], [ -116.75,42 ], [ -124.5,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7a6fe4b0c8380cd78ee7","contributors":{"authors":[{"text":"Simon, Nancy S. 0000-0003-2706-7611 nssimon@usgs.gov","orcid":"https://orcid.org/0000-0003-2706-7611","contributorId":838,"corporation":false,"usgs":true,"family":"Simon","given":"Nancy","email":"nssimon@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":356859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingle, Sarah N.","contributorId":87684,"corporation":false,"usgs":true,"family":"Ingle","given":"Sarah","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":356860,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70009683,"text":"ofr20111318 - 2011 - Environmental settings of streams sampled for mercury in New York and South Carolina, 2005-09","interactions":[],"lastModifiedDate":"2019-12-27T10:30:51","indexId":"ofr20111318","displayToPublicDate":"2012-03-08T00:00:00","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":"2011-1318","title":"Environmental settings of streams sampled for mercury in New York and South Carolina, 2005-09","docAbstract":"This report summarizes the environmental settings of streams in New York and South Carolina, where the U.S. Geological Survey completed detailed investigations during 2005-09 into factors contributing to mercury bioaccumulation in top-predator fish and other stream organisms. Descriptions of location, land use/land cover, climate, precipitation, atmospheric deposition, hydrology, water temperature, and other characteristics are provided. Atmospheric deposition is the dominant mercury source in the studied basins where biota, sediment, soil, and water were sampled for mercury and for physical and chemical characteristics believed to be important in mercury methylation and transport.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111318","collaboration":"National Water-Quality Assessment Program, Toxic Substances Hydrology Program","usgsCitation":"Scudder Eikenberry, B.C., Riva-Murray, K., Smith, M.J., Bradley, P.M., Button, D.T., Clark, J.M., Burns, D.A., and Journey, C.A., 2011, Environmental settings of streams sampled for mercury in New York and South Carolina, 2005-09: U.S. Geological Survey Open-File Report 2011-1318, Report: viii, 34 p.; 2 Appendixes, https://doi.org/10.3133/ofr20111318.","productDescription":"Report: viii, 34 p.; 2 Appendixes","onlineOnly":"Y","costCenters":[{"id":589,"text":"Toxic Substances Hydrology 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0000-0002-3138-5738 jmclark@usgs.gov","orcid":"https://orcid.org/0000-0002-3138-5738","contributorId":4773,"corporation":false,"usgs":true,"family":"Clark","given":"Jimmy","email":"jmclark@usgs.gov","middleInitial":"M.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":356852,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":356854,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70005420,"text":"70005420 - 2011 - Discontinuous hindcast simulations of estuarine bathymetric change: A case study from Suisun Bay, California","interactions":[],"lastModifiedDate":"2013-01-16T20:45:27","indexId":"70005420","displayToPublicDate":"2012-02-28T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Discontinuous hindcast simulations of estuarine bathymetric change: A case study from Suisun Bay, California","docAbstract":"Simulations of estuarine bathymetric change over decadal timescales require methods for idealization and reduction of forcing data and boundary conditions. Continuous simulations are hampered by computational and data limitations and results are rarely evaluated with observed bathymetric change data. Bathymetric change data for Suisun Bay, California span the 1867–1990 period with five bathymetric surveys during that period. The four periods of bathymetric change were modeled using a coupled hydrodynamic-sediment transport model operated at the tidal-timescale. The efficacy of idealization techniques was investigated by discontinuously simulating the four periods. The 1867–1887 period, used for calibration of wave energy and sediment parameters, was modeled with an average error of 37% while the remaining periods were modeled with error ranging from 23% to 121%. Variation in post-calibration performance is attributed to temporally variable sediment parameters and lack of bathymetric and configuration data for portions of Suisun Bay and the Delta. Modifying seaward sediment delivery and bed composition resulted in large performance increases for post-calibration periods suggesting that continuous simulation with constant parameters is unrealistic. Idealization techniques which accelerate morphological change should therefore be used with caution in estuaries where parameters may change on sub-decadal timescales. This study highlights the utility and shortcomings of estuarine geomorphic models for estimating past changes in forcing mechanisms such as sediment supply and bed composition. The results further stress the inherent difficulty of simulating estuarine changes over decadal timescales due to changes in configuration, benthic composition, and anthropogenic forcing such as dredging and channelization.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuarine, Coastal and Shelf Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecss.2011.04.004","usgsCitation":"Ganju, N., Jaffe, B.E., and Schoellhamer, D., 2011, Discontinuous hindcast simulations of estuarine bathymetric change: A case study from Suisun Bay, California: Estuarine, Coastal and Shelf Science, v. 93, no. 2, p. 142-150, https://doi.org/10.1016/j.ecss.2011.04.004.","productDescription":"9 p.","startPage":"142","endPage":"150","numberOfPages":"9","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":474754,"rank":101,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/4665","text":"External Repository"},{"id":204859,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204857,"rank":100,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecss.2011.04.004","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Suisun Bay","volume":"93","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a01ebe4b0c8380cd4fdba","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":352454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":352453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352452,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70006144,"text":"70006144 - 2011 - Daily MODIS data trends of hurricane-induced forest impact and early recovery","interactions":[],"lastModifiedDate":"2019-10-03T09:33:33","indexId":"70006144","displayToPublicDate":"2012-02-26T16:20:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Daily MODIS data trends of hurricane-induced forest impact and early recovery","docAbstract":"We studied the use of daily satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors to assess wetland forest damage and recovery from Hurricane Katrina (29 August 2005 landfall). Processed MODIS daily vegetation index (VI) trends were consistent with previously determined impact and recovery patterns provided by the \"snapshot\" 25 m Landsat Thematic Mapper optical and RADARSAT-1 synthetic aperture radar satellite data. Phenological trends showed high 2004 and 2005 pre-hurricane temporal correspondence within bottomland hardwood forest communities, except during spring green-up, and temporal dissimilarity between these hardwoods and nearby cypress-tupelo swamp forests (Taxodium distichum [baldcypress] and Nyssa aquatica [water tupelo]). MODIS VI trend analyses established that one year after impact, cypress-tupelo and lightly impacted hardwood forests had recovered to near pre-hurricane conditions. In contrast, canopy recovery lagged in the moderately and severely damaged hardwood forests, possibly reflecting regeneration of pre-hurricane species and stand-level replacement by invasive trees.","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","publisherLocation":"Bethesda, Maryland","doi":"10.14358/PERS.77.11.1133","usgsCitation":"Ramsey, E., Spruce, J., Rangoonwala, A., Suzuoki, Y., Smoot, J., Gasser, J., and Bannister, T., 2011, Daily MODIS data trends of hurricane-induced forest impact and early recovery: Photogrammetric Engineering and Remote Sensing, v. 77, no. 11, p. 1133-1143, https://doi.org/10.14358/PERS.77.11.1133.","productDescription":"11 p.","startPage":"1133","endPage":"1143","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":474756,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.77.11.1133","text":"Publisher Index Page"},{"id":204834,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Pearl River Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.78302001953125,\n 30.129687671492565\n ],\n [\n -89.53582763671875,\n 30.129687671492565\n ],\n [\n -89.53582763671875,\n 30.39656853856939\n ],\n [\n -89.78302001953125,\n 30.39656853856939\n ],\n [\n -89.78302001953125,\n 30.129687671492565\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fd58e4b0c8380cd4e7b2","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":72769,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah W.","suffix":"III","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":353938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spruce, Joseph","contributorId":108245,"corporation":false,"usgs":true,"family":"Spruce","given":"Joseph","affiliations":[],"preferred":false,"id":353940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":353934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suzuoki, Yukihiro","contributorId":25283,"corporation":false,"usgs":true,"family":"Suzuoki","given":"Yukihiro","email":"","affiliations":[],"preferred":false,"id":353937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smoot, James","contributorId":12971,"corporation":false,"usgs":true,"family":"Smoot","given":"James","affiliations":[],"preferred":false,"id":353935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gasser, Jerry","contributorId":18503,"corporation":false,"usgs":true,"family":"Gasser","given":"Jerry","email":"","affiliations":[],"preferred":false,"id":353936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bannister, Terri","contributorId":82836,"corporation":false,"usgs":true,"family":"Bannister","given":"Terri","email":"","affiliations":[],"preferred":false,"id":353939,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70007121,"text":"70007121 - 2011 - Contamination of nonylphenolic compounds in creek water, wastewater treatment plant effluents, and sediments from Lake Shihwa and vicinity, Korea: Comparison with fecal pollution","interactions":[],"lastModifiedDate":"2020-01-14T15:18:25","indexId":"70007121","displayToPublicDate":"2012-02-26T15:28:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Contamination of nonylphenolic compounds in creek water, wastewater treatment plant effluents, and sediments from Lake Shihwa and vicinity, Korea: Comparison with fecal pollution","docAbstract":"Nonylphenolic compounds (NPs), coprostanol (COP), and cholestanol, major contaminants in industrial and domestic wastewaters, were analyzed in creek water, wastewater treatment plant (WWTP) effluent, and sediment samples from artificial Lake Shihwa and its vicinity, one of the most industrialized regions in Korea. We also determined mass discharge of NPs and COP, a fecal sterol, into the lake, to understand the linkage between discharge and sediment contamination. Total NP (the sum of nonylphenol, and nonylphenol mono- and di-ethoxylates) were 0.32–875 μg L-1 in creeks, 0.61–87.0 μg L-1 in WWTP effluents, and 29.3–230 μg g-1 TOC in sediments. Concentrations of COP were 0.09–19.0 μg L-1 in creeks, 0.11–44.0 μg L-1 in WWTP effluents, and 2.51–438 μg g-1 TOC in sediments. The spatial distributions of NPs in creeks and sediments from the inshore region were different from those of COP, suggesting that Lake Shihwa contamination patterns from industrial effluents differ from those from domestic effluents. The mass discharge from the combined outfall of the WWTPs, located in the offshore region, was 2.27 kg d-1 for NPs and 1.00 kg d-1 for COP, accounting for 91% and 95% of the total discharge into Lake Shihwa, respectively. The highest concentrations of NPs and COP in sediments were found in samples at sites near the submarine outfall of the WWTPs, indicating that the submarine outfall is an important point source of wastewater pollution in Lake Shihwa.","largerWorkTitle":"Chemosphere","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2011.08.016","usgsCitation":"Choi, M., Furlong, E.T., Moon, H., Yu, J., and Choi, H., 2011, Contamination of nonylphenolic compounds in creek water, wastewater treatment plant effluents, and sediments from Lake Shihwa and vicinity, Korea: Comparison with fecal pollution: Chemosphere, v. 85, no. 8, p. 1406-1413, https://doi.org/10.1016/j.chemosphere.2011.08.016.","productDescription":"8 p.","startPage":"1406","endPage":"1413","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":204824,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"South Korea","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[128.34972,38.61224],[129.21292,37.43239],[129.46045,36.78419],[129.4683,35.63214],[129.09138,35.08248],[128.18585,34.89038],[127.38652,34.47567],[126.48575,34.39005],[126.37392,34.93456],[126.55923,35.68454],[126.1174,36.72548],[126.86014,36.89392],[126.17476,37.74969],[126.23734,37.84038],[126.68372,37.80477],[127.07331,38.25611],[127.78004,38.30454],[128.20575,38.3704],[128.34972,38.61224]]]},\"properties\":{\"name\":\"South Korea\"}}]}","volume":"85","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fa47e4b0c8380cd4da02","contributors":{"authors":[{"text":"Choi, Minkyu","contributorId":80422,"corporation":false,"usgs":true,"family":"Choi","given":"Minkyu","email":"","affiliations":[],"preferred":false,"id":355870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":355867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moon, Hyo-Bang","contributorId":45838,"corporation":false,"usgs":true,"family":"Moon","given":"Hyo-Bang","email":"","affiliations":[],"preferred":false,"id":355869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yu, Jun","contributorId":25704,"corporation":false,"usgs":true,"family":"Yu","given":"Jun","affiliations":[],"preferred":false,"id":355868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, Hee-Gu","contributorId":91989,"corporation":false,"usgs":true,"family":"Choi","given":"Hee-Gu","email":"","affiliations":[],"preferred":false,"id":355871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70006286,"text":"70006286 - 2011 - Assessing possible visitor-use impacts on water quality in Yosemite National Park, California","interactions":[],"lastModifiedDate":"2017-01-18T13:23:25","indexId":"70006286","displayToPublicDate":"2012-02-26T13:08:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Assessing possible visitor-use impacts on water quality in Yosemite National Park, California","docAbstract":"There is concern that visitor-use associated activities, such as bathing, dish washing, wastewater production, and stock animal use near lakes and streams, could cause degradation of water quality in Yosemite National Park. A study was conducted during 2004–2007 to assess patterns in nutrient and Escherichia coli (E. coli) concentrations in the Merced and Tuolumne Rivers and characterize natural background concentrations of nutrients in the park. Results indicated that nutrient and E. coli concentrations were low, even compared to other undeveloped sites in the United States. A multiple linear regression approach was used to model natural background concentrations of nutrients, with basin characteristics as explanatory variables. Modeled nitrogen concentrations increased with elevation, and modeled phosphorus concentrations increased with basin size. Observed concentrations (±uncertainty) were compared to modeled concentrations (±uncertainty) to identify sites that might be impacted by point sources of nutrients, as indicated by large model residuals. Statistically significant differences in observed and modeled concentrations were observed at only a few locations, indicating that most sites were representative of natural background conditions. The empirical modeling approach used in this study can be used to estimate natural background conditions at any point along a study reach in areas minimally impacted by development, and may be useful for setting water-quality standards in many national parks.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10661-011-1915-z","usgsCitation":"Clow, D.W., Peavler, R.S., Roche, J., Panorska, A.K., Thomas, J., and Smith, S., 2011, Assessing possible visitor-use impacts on water quality in Yosemite National Park, California: Environmental Monitoring and Assessment, v. 183, no. 1, p. 197-215, https://doi.org/10.1007/s10661-011-1915-z.","productDescription":"19 p.","startPage":"197","endPage":"215","temporalStart":"2004-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":204831,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","volume":"183","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-02-19","publicationStatus":"PW","scienceBaseUri":"5059eddde4b0c8380cd49a70","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":354224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peavler, Rachael S.","contributorId":84907,"corporation":false,"usgs":true,"family":"Peavler","given":"Rachael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":354228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roche, Jim","contributorId":35073,"corporation":false,"usgs":true,"family":"Roche","given":"Jim","email":"","affiliations":[],"preferred":false,"id":354225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Panorska, Anna K.","contributorId":60774,"corporation":false,"usgs":true,"family":"Panorska","given":"Anna","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":354226,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, James M.","contributorId":97880,"corporation":false,"usgs":true,"family":"Thomas","given":"James M.","affiliations":[],"preferred":false,"id":354229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Steve","contributorId":64806,"corporation":false,"usgs":true,"family":"Smith","given":"Steve","affiliations":[],"preferred":false,"id":354227,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70007530,"text":"ds634 - 2011 - Summary of suspended-sediment concentration data, San Francisco Bay, California, water year 2008","interactions":[],"lastModifiedDate":"2017-10-30T12:41:57","indexId":"ds634","displayToPublicDate":"2012-02-24T21:17:00","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":"634","title":"Summary of suspended-sediment concentration data, San Francisco Bay, California, water year 2008","docAbstract":"Suspended-sediment concentration data were collected by the U.S. Geological Survey in San Francisco Bay during water year 2008 (October 1, 2007–September 30, 2008). Optical sensors and water samples were used to monitor suspended-sediment concentration at two sites in Suisun Bay, two sites in Central San Francisco Bay, and one site in South San Francisco Bay. Sensors were positioned at two depths at most sites to help define the vertical variability of suspended sediments. Water samples were collected periodically and analyzed for concentrations of suspended sediment. The results of the analyses were used to calibrate the output of the optical sensors so that a record of suspended-sediment concentrations could be derived. This report presents the data-collection methods used and summarizes, in graphs, the suspended-sediment concentration data collected from October 2007 through September 2008. Calibration curves and plots of the processed data for each sensor also are presented.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds634","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, San Francisco District","usgsCitation":"Buchanan, P.A., and Morgan, T., 2011, Summary of suspended-sediment concentration data, San Francisco Bay, California, water year 2008: U.S. Geological Survey Data Series 634, vi, 28 p., https://doi.org/10.3133/ds634.","productDescription":"vi, 28 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":115891,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/634/","linkFileType":{"id":5,"text":"html"}},{"id":204628,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_634.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay;Sacramento-san Joaquin River Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.58333333333333,37.36666666666667 ], [ -122.58333333333333,38.166666666666664 ], [ -121.75,38.166666666666664 ], [ -121.75,37.36666666666667 ], [ -122.58333333333333,37.36666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9ee5e4b08c986b31e1dd","contributors":{"authors":[{"text":"Buchanan, Paul A. 0000-0002-4796-4734 buchanan@usgs.gov","orcid":"https://orcid.org/0000-0002-4796-4734","contributorId":1018,"corporation":false,"usgs":true,"family":"Buchanan","given":"Paul","email":"buchanan@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, Tara L. 0000-0001-5632-5232","orcid":"https://orcid.org/0000-0001-5632-5232","contributorId":29124,"corporation":false,"usgs":true,"family":"Morgan","given":"Tara L.","affiliations":[],"preferred":false,"id":356606,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007493,"text":"sir20115234 - 2011 - Regional water table (2010) in the Mojave River and Morongo Groundwater basins, southwestern Mojave Desert, California","interactions":[],"lastModifiedDate":"2025-05-15T13:57:43.490389","indexId":"sir20115234","displayToPublicDate":"2012-02-23T00:00:00","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":"2011-5234","title":"Regional water table (2010) in the Mojave River and Morongo Groundwater basins, southwestern Mojave Desert, California","docAbstract":"Since 1992, the U.S. Geological Survey (USGS), in cooperation with the Mojave Water Agency (MWA), has constructed a series of regional water-table maps for intermittent years in a continuing effort to monitor groundwater conditions in the Mojave River and Morongo groundwater basins. The previously published data, which were used to construct these maps, can be accessed on the interactive map. The associated reports describing the groundwater conditions for the Mojave River groundwater basin for 1992 (Stamos and Predmore, 1995), the Morongo groundwater basin for 1994 (Trayler and Koczot, 1995), and for both groundwater basins for 1996 (Mendez and Christensen, 1997); for 1998 (Smith and Pimentel, 2000), for 2000 (Smith, 2002), for 2002 (Smith and others, 2004), for 2004 (Stamos and others, 2004), for 2006 (Stamos and others, 2007), and for 2008 (Stamos and others, 2009) can be accessed using this web site. Mapping of water-level contours and water-level change were combined in an interactive map. This interactive map may be customized to your needs and viewed at a scale that is appropriate for the data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115234","collaboration":"Prepared in cooperation with the Mojave Water Agency","usgsCitation":"Smith, G.A., Stamos, C., Glockhoff, C.S., House, S., and Clark, D.A., 2011, Regional water table (2010) in the Mojave River and Morongo Groundwater basins, southwestern Mojave Desert, California: U.S. Geological Survey Scientific Investigations Report 2011-5234, HTML Document; Metadata, https://doi.org/10.3133/sir20115234.","productDescription":"HTML Document; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":273116,"rank":2,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/cont2010.xml"},{"id":115884,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5234/","linkFileType":{"id":5,"text":"html"}},{"id":116396,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5234.png"}],"country":"United States","state":"California","city":"Sacramento","otherGeospatial":"Mojave River, Morongo Groundwater Basins, Southwestern Mojave Desert","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a497e4b0e8fec6cdbbac","contributors":{"authors":[{"text":"Smith, Gregory A. 0000-0001-8170-9924 gasmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8170-9924","contributorId":1520,"corporation":false,"usgs":true,"family":"Smith","given":"Gregory","email":"gasmith@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":356481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stamos, Christina L. 0000-0002-1007-9352","orcid":"https://orcid.org/0000-0002-1007-9352","contributorId":19593,"corporation":false,"usgs":true,"family":"Stamos","given":"Christina L.","affiliations":[],"preferred":false,"id":356483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glockhoff, Carolyn S.","contributorId":19639,"corporation":false,"usgs":true,"family":"Glockhoff","given":"Carolyn","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":356484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"House, Sally F. 0000-0002-3398-4742","orcid":"https://orcid.org/0000-0002-3398-4742","contributorId":17369,"corporation":false,"usgs":true,"family":"House","given":"Sally F.","affiliations":[],"preferred":false,"id":356482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Dennis A. daclark@usgs.gov","contributorId":1477,"corporation":false,"usgs":true,"family":"Clark","given":"Dennis","email":"daclark@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":356480,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70007517,"text":"70007517 - 2011 - Subsurface transport of orthophosphate in five agricultural watersheds, USA","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"70007517","displayToPublicDate":"2012-02-19T17:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Subsurface transport of orthophosphate in five agricultural watersheds, USA","docAbstract":"Concentrations of dissolved orthophosphate (ortho P) in the unsaturated zone, groundwater, tile drains, and groundwater/stream water interfaces were assessed in five agricultural watersheds to determine the potential for subsurface transport. Concentrations of iron oxides were measured in the aquifer material and adsorption of ortho P on oxide surfaces was assessed by geochemical modeling. Attenuation of ortho P in these aquifers was attributed primarily to sorption onto iron oxides, and in one location onto clay minerals. Only one location showed a clear indication of phosphorus transport to a stream from groundwater discharge, although groundwater did contribute to the stream load elsewhere. Subsurface ortho P movement at a site in California resulted in a plume down gradient from orchards, which was attenuated by a 200 m thick riparian zone with natural vegetation. Iron oxides had an effect on phosphorus movement and concentrations at all locations, and groundwater chemistry, especially pH, exerted a major control on the amount of phosphorus adsorbed. Groundwater pH at a site in Maryland was below 5 and that resulted in complete sequestration of phosphorus and no movement toward the stream. Geochemical modeling indicated that as the surfaces approached saturation, groundwater concentrations of ortho P rise rapidly.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jhydrol.2011.08.014","usgsCitation":"Domagalski, J.L., and Johnson, H.M., 2011, Subsurface transport of orthophosphate in five agricultural watersheds, USA: Journal of Hydrology, v. 409, no. 1-2, p. 157-171, https://doi.org/10.1016/j.jhydrol.2011.08.014.","productDescription":"15 p.","startPage":"157","endPage":"171","numberOfPages":"15","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":204729,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204713,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2011.08.014","linkFileType":{"id":5,"text":"html"}}],"volume":"409","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9d92e4b08c986b31d915","contributors":{"authors":[{"text":"Domagalski, Joseph L. 0000-0002-6032-757X joed@usgs.gov","orcid":"https://orcid.org/0000-0002-6032-757X","contributorId":1330,"corporation":false,"usgs":true,"family":"Domagalski","given":"Joseph","email":"joed@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Henry M. 0000-0002-7571-4994","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":105291,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":356576,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007519,"text":"70007519 - 2011 - Taking the pulse of snowmelt: in situ sensors reveal seasonal, event and diurnal patterns of nitrate and dissolved organic matter variability in an upland forest stream","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"70007519","displayToPublicDate":"2012-02-19T16:49:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Taking the pulse of snowmelt: in situ sensors reveal seasonal, event and diurnal patterns of nitrate and dissolved organic matter variability in an upland forest stream","docAbstract":"Highly resolved time series data are useful to accurately identify the timing, rate, and magnitude of solute transport in streams during hydrologically dynamic periods such as snowmelt. We used in situ optical sensors for nitrate (NO3-) and chromophoric dissolved organic matter fluorescence (FDOM) to measure surface water concentrations at 30 min intervals over the snowmelt period (March 21–May 13, 2009) at a 40.5 hectare forested watershed at Sleepers River, Vermont. We also collected discrete samples for laboratory absorbance and fluorescence as well as δ18O–NO3- isotopes to help interpret the drivers of variable NO3- and FDOM concentrations measured in situ. In situ data revealed seasonal, event and diurnal patterns associated with hydrological and biogeochemical processes regulating stream NO3- and FDOM concentrations. An observed decrease in NO3- concentrations after peak snowmelt runoff and muted response to spring rainfall was consistent with the flushing of a limited supply of NO3- (mainly from nitrification) from source areas in surficial soils. Stream FDOM concentrations were coupled with flow throughout the study period, suggesting a strong hydrologic control on DOM concentrations in the stream. However, higher FDOM concentrations per unit streamflow after snowmelt likely reflected a greater hydraulic connectivity of the stream to leachable DOM sources in upland soils. We also observed diurnal NO3- variability of 1–2 μmol l-1 after snowpack ablation, presumably due to in-stream uptake prior to leafout. A comparison of NO3- and dissolved organic carbon yields (DOC, measured by FDOM proxy) calculated from weekly discrete samples and in situ data sub-sampled daily resulted in small to moderate differences over the entire study period (-4 to 1% for NO3- and -3 to -14% for DOC), but resulted in much larger differences for daily yields (-66 to +27% for NO3- and -88 to +47% for DOC, respectively). Despite challenges inherent in in situ sensor deployments in harsh seasonal conditions, these data provide important insights into processes controlling NO3- and FDOM in streams, and will be critical for evaluating the effects of climate change on snowmelt delivery to downstream ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10533-011-9589-8","usgsCitation":"Pellerin, B., Saraceno, J., Shanley, J.B., Sebestyen, S.D., Aiken, G.R., Wollheim, W., and Bergamaschi, B., 2011, Taking the pulse of snowmelt: in situ sensors reveal seasonal, event and diurnal patterns of nitrate and dissolved organic matter variability in an upland forest stream: Biogeochemistry, v. 108, no. 1-3, p. 183-198, https://doi.org/10.1007/s10533-011-9589-8.","productDescription":"15 p.","startPage":"183","endPage":"198","numberOfPages":"16","temporalStart":"2009-03-21","temporalEnd":"2009-05-13","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":204727,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204712,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1007/s10533-011-9589-8","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Vermont","otherGeospatial":"Sleepers River","volume":"108","issue":"1-3","noUsgsAuthors":false,"publicationDate":"2011-03-11","publicationStatus":"PW","scienceBaseUri":"505ba3bee4b08c986b31fe71","contributors":{"authors":[{"text":"Pellerin, Brian A.","contributorId":58385,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[],"preferred":false,"id":356596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saraceno, John Franco 0000-0003-0064-1820","orcid":"https://orcid.org/0000-0003-0064-1820","contributorId":71686,"corporation":false,"usgs":true,"family":"Saraceno","given":"John Franco","affiliations":[],"preferred":false,"id":356597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sebestyen, Stephen D.","contributorId":107562,"corporation":false,"usgs":true,"family":"Sebestyen","given":"Stephen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":356600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":356594,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wollheim, Wilfred M.","contributorId":104758,"corporation":false,"usgs":true,"family":"Wollheim","given":"Wilfred M.","affiliations":[],"preferred":false,"id":356599,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":73241,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","affiliations":[],"preferred":false,"id":356598,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70007474,"text":"70007474 - 2011 - Nutrient loadings to streams of the continental United States from municipal and industrial effluent?","interactions":[],"lastModifiedDate":"2013-02-28T15:47:43","indexId":"70007474","displayToPublicDate":"2012-02-19T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Nutrient loadings to streams of the continental United States from municipal and industrial effluent?","docAbstract":"Data from the United States Environmental Protection Agency Permit Compliance System national database were used to calculate annual total nitrogen (TN) and total phosphorus (TP) loads to surface waters from municipal and industrial facilities in six major regions of the United States for 1992, 1997, and 2002. Concentration and effluent flow data were examined for approximately 118,250 facilities in 45 states and the District of Columbia. Inconsistent and incomplete discharge locations, effluent flows, and effluent nutrient concentrations limited the use of these data for calculating nutrient loads. More concentrations were reported for major facilities, those discharging more than 1 million gallons per day, than for minor facilities, and more concentrations were reported for TP than for TN. Analytical methods to check and improve the quality of the Permit Compliance System data were used. Annual loads were calculated using \"typical pollutant concentrations\" to supplement missing concentrations based on the type and size of facilities. Annual nutrient loads for over 26,600 facilities were calculated for at least one of the three years. Sewage systems represented 74% of all TN loads and 58% of all TP loads. This work represents an initial set of data to develop a comprehensive and consistent national database of point-source nutrient loads. These loads can be used to inform a wide range of water-quality management, watershed modeling, and research efforts at multiple scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Water Resources Association","publisherLocation":"Middleburg, VA","doi":"10.1111/j.1752-1688.2011.00576.x","usgsCitation":"Maupin, M.A., and Ivahnenko, T., 2011, Nutrient loadings to streams of the continental United States from municipal and industrial effluent?: Journal of the American Water Resources Association, v. 47, no. 5, https://doi.org/10.1111/j.1752-1688.2011.00576.x.","numberOfPages":"5","temporalStart":"1992-01-01","temporalEnd":"2002-12-31","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":474759,"rank":101,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3307619","text":"External Repository"},{"id":204726,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204715,"rank":100,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00576.x","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505a6989e4b0c8380cd73da5","contributors":{"authors":[{"text":"Maupin, Molly A. 0000-0002-2695-5505 mamaupin@usgs.gov","orcid":"https://orcid.org/0000-0002-2695-5505","contributorId":951,"corporation":false,"usgs":true,"family":"Maupin","given":"Molly","email":"mamaupin@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivahnenko, Tamara 0000-0002-1124-7688 ivahnenk@usgs.gov","orcid":"https://orcid.org/0000-0002-1124-7688","contributorId":93524,"corporation":false,"usgs":true,"family":"Ivahnenko","given":"Tamara","email":"ivahnenk@usgs.gov","affiliations":[],"preferred":false,"id":356455,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007430,"text":"sir20115111 - 2011 - Hydrology, phosphorus, and suspended solids in five agricultural streams in the Lower Fox River and Green Bay Watersheds, Wisconsin, Water Years 2004-06","interactions":[],"lastModifiedDate":"2018-02-06T12:29:15","indexId":"sir20115111","displayToPublicDate":"2012-02-15T09:06:00","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":"2011-5111","title":"Hydrology, phosphorus, and suspended solids in five agricultural streams in the Lower Fox River and Green Bay Watersheds, Wisconsin, Water Years 2004-06","docAbstract":"A 3-year study was conducted by the U.S. Geological Survey and the University of Wisconsin-Green Bay to characterize water quality in agricultural streams in the Fox/Wolf watershed in northeastern Wisconsin and provide information to assist in the calibration of a watershed model for the area. Streamflow, phosphorus, and suspended solids data were collected between October 1, 2003, and September 30, 2006, in five streams, including Apple Creek, Ashwaubenon Creek, Baird Creek, Duck Creek, and the East River. During this study, total annual precipitation was close to the 30-year normal of 29.12 inches. The 3-year mean streamflow was highest in the East River (113 ft3/s), followed by Duck Creek (58.2 ft3/s), Apple Creek (26.9 ft3/s), Baird Creek (12.8 ft3/s), and Ashwaubenon Creek (9.1 ft3/s). On a yield basis, during these three years, the East River had the highest flow (0.78 ft3/s/mi2), followed by Baird Creek (0.61 ft3/s/mi2), Apple Creek (0.59 ft3/s/mi2), Duck Creek (0.54 ft3/s/mi2), and Ashwaubenon Creek (0.46 ft3/s/mi2).

\n

The overall median total suspended solids (TSS) concentration was highest in Baird Creek (73.5 mg/L), followed by Apple and Ashwaubenon Creeks (65 mg/L), East River (40 mg/L), and Duck Creek (30 mg/L). The median total phosphorus (TP) concentration was highest in Ashwaubenon Creek (0.60 mg/L), followed by Baird Creek (0.47 mg/L), Apple Creek (0.37 mg/L), East River (0.26 mg/L), and Duck Creek (0.22 mg/L).

\n

The average annual TSS yields ranged from 111 tons/mi2 in Apple Creek to 45 tons/mi2 in Duck Creek. All five watersheds yielded more TSS than the median value (32.4 tons/mi2) from previous studies in the Southeastern Wisconsin Till Plains (SWTP) ecoregion. The average annual TP yields ranged from 663 lbs/mi2 in Baird Creek to 382 lbs/mi2 in Duck Creek. All five watersheds yielded more TP than the median value from previous studies in the SWTP ecoregion, and the Baird Creek watershed yielded more TP than the statewide median of 650 lbs/mi2 from previous studies.Overall, Duck Creek had the lowest median and volumetric weighted concentrations and mean yield of TSS and TP. The same pattern was true for dissolved phosphorus (DP), except the volumetrically weighted concentration was lowest in the East River. In contrast, Ashwaubenon, Baird, and Apple Creeks had greater median and volumetrically weighted concentrations and mean yields of TSS, TP, DP than Duck Creek and the East River. Water quality in Duck Creek and East River were distinctly different from Ashwaubenon, Baird, and Apple Creeks. Loads from individual runoff events for all of these streams were important to the total annual mass transport of the constituents. On average, about 20 percent of the annual TSS loads and about 17 percent of the TP loads were transported in 1-day events in each stream.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115111","collaboration":"Prepared in cooperation with the University of Wisconsin-Green Bay","usgsCitation":"Graczyk, D., Robertson, D.M., Baumgart, P.D., and Fermanich, K., 2011, Hydrology, phosphorus, and suspended solids in five agricultural streams in the Lower Fox River and Green Bay Watersheds, Wisconsin, Water Years 2004-06: U.S. Geological Survey Scientific Investigations Report 2011-5111, vi, 28 p., https://doi.org/10.3133/sir20115111.","productDescription":"vi, 28 p.","additionalOnlineFiles":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":204742,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5111.gif"},{"id":116345,"rank":0,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5111/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lower Fox River Watershed;Green Bay Watershed","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a377ee4b0c8380cd60f10","contributors":{"authors":[{"text":"Graczyk, David J.","contributorId":107265,"corporation":false,"usgs":true,"family":"Graczyk","given":"David J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":356385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baumgart, Paul D.","contributorId":92423,"corporation":false,"usgs":true,"family":"Baumgart","given":"Paul","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":356384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fermanich, Kevin 0000-0002-5354-2941","orcid":"https://orcid.org/0000-0002-5354-2941","contributorId":63945,"corporation":false,"usgs":false,"family":"Fermanich","given":"Kevin","email":"","affiliations":[{"id":35036,"text":"University of Wisconsin-Green Bay","active":true,"usgs":false}],"preferred":false,"id":356383,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70007092,"text":"70007092 - 2011 - Wildlife conservation and solar energy development in the Desert Southwest, United States","interactions":[],"lastModifiedDate":"2021-01-06T17:04:11.316692","indexId":"70007092","displayToPublicDate":"2012-02-12T15:50:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Wildlife conservation and solar energy development in the Desert Southwest, United States","docAbstract":"

Large areas of public land are currently being permitted or evaluated for utility-scale solar energy development (USSED) in the southwestern United States, including areas with high biodiversity and protected species. However, peer-reviewed studies of the effects of USSED on wildlife are lacking. The potential effects of the construction and the eventual decommissioning of solar energy facilities include the direct mortality of wildlife; environmental impacts of fugitive dust and dust suppressants; destruction and modification of habitat, including the impacts of roads; and off-site impacts related to construction material acquisition, processing, and transportation. The potential effects of the operation and maintenance of the facilities include habitat fragmentation and barriers to gene flow, increased noise, electromagnetic field generation, microclimate alteration, pollution, water consumption, and fire. Facility design effects, the efficacy of site-selection criteria, and the cumulative effects of USSED on regional wildlife populations are unknown. Currently available peer-reviewed data are insufficient to allow a rigorous assessment of the impact of USSED on wildlife.

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