{"pageNumber":"254","pageRowStart":"6325","pageSize":"25","recordCount":16446,"records":[{"id":70031421,"text":"70031421 - 2007 - Development of a mercury speciation, fate, and biotic uptake (BIOTRANSPEC) model: Application to Lahontan Reservoir (Nevada, USA)","interactions":[],"lastModifiedDate":"2023-07-18T11:08:19.537351","indexId":"70031421","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Development of a mercury speciation, fate, and biotic uptake (BIOTRANSPEC) model: Application to Lahontan Reservoir (Nevada, USA)","docAbstract":"<p>A mathematically linked mercury transport, speciation, kinetic, and simple biotic uptake (BIOTRANSPEC) model has been developed. An extension of the metal transport and speciation (TRANSPEC) model, BIOTRANSPEC estimates the fate and biotic uptake of inorganic (Hg(II)), elemental (Hg(0)) and organic (MeHg) forms of mercury and their species in the dissolved, colloidal (e.g., dissolved organic matter [DOM]), and particulate phases of surface aquatic systems. A pseudo-steady state version of the model was used to describe mercury dynamics in Lahontan Reservoir (near Carson City, NV, USA), where internal loading of the historically deposited mercury is remobilized, thereby maintaining elevated water concentrations. The Carson River is the main source of total mercury (THg), of which more than 90% is tightly bound in a gold-silver-mercury amalgam, to the system through loadings in the spring, with negligible input from the atmospheric deposition. The speciation results suggest that aqueous species are dominated by Hg-DOM, Hg(OH)2, and HgClOH. Sediment-to-water diffusion of MeHg and Hg-DOM accounts for approximately 10% of total loadings to the water column. The water column acts as a net sink for MeHg by reducing its levels through two competitive processes: Uptake by fish, and net MeHg demethylation. Although reservoir sediments produce significant amounts of MeHg (4 g/d), its transport from sediment to water is limited (1.6 g/d), possibly because of its adsorption on metal oxides of iron and manganese at the sediment-water interface. Fish accumulate approximately 45% of the total MeHg mass in the water column, and 9% of total MeHg uptake by fish leaves the system because of fishing. Results from this new model reiterate the previous conclusion that more than 90% of THg input is retained in sediment, which perpetuates elevated water concentrations.</p>","language":"English","publisher":"SETAC","doi":"10.1897/06-468R.1","issn":"07307268","usgsCitation":"Gandhi, N., Bhavsar, S., Diamond, M., Kuwabara, J.S., Marvin-DePasquale, M.C., and Krabbenhoft, D.P., 2007, Development of a mercury speciation, fate, and biotic uptake (BIOTRANSPEC) model: Application to Lahontan Reservoir (Nevada, USA): Environmental Toxicology and Chemistry, v. 26, no. 11, p. 2260-2273, https://doi.org/10.1897/06-468R.1.","productDescription":"14 p.","startPage":"2260","endPage":"2273","numberOfPages":"14","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":240065,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Lahontan Reservoir","volume":"26","issue":"11","noUsgsAuthors":false,"publicationDate":"2007-11-01","publicationStatus":"PW","scienceBaseUri":"505a003ce4b0c8380cd4f66a","contributors":{"authors":[{"text":"Gandhi, N.","contributorId":35543,"corporation":false,"usgs":true,"family":"Gandhi","given":"N.","email":"","affiliations":[],"preferred":false,"id":431436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bhavsar, S.P.","contributorId":38779,"corporation":false,"usgs":true,"family":"Bhavsar","given":"S.P.","email":"","affiliations":[],"preferred":false,"id":431437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diamond, M.L.","contributorId":18578,"corporation":false,"usgs":true,"family":"Diamond","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":431434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuwabara, James S. 0000-0003-2502-1601 kuwabara@usgs.gov","orcid":"https://orcid.org/0000-0003-2502-1601","contributorId":3374,"corporation":false,"usgs":true,"family":"Kuwabara","given":"James","email":"kuwabara@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":431438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marvin-DePasquale, Mark C.","contributorId":38655,"corporation":false,"usgs":true,"family":"Marvin-DePasquale","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":431435,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":431439,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70031388,"text":"70031388 - 2007 - Cleats and their relation to geologic lineaments and coalbed methane potential in Pennsylvanian coals in Indiana","interactions":[],"lastModifiedDate":"2012-03-12T17:21:08","indexId":"70031388","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Cleats and their relation to geologic lineaments and coalbed methane potential in Pennsylvanian coals in Indiana","docAbstract":"Cleats and fractures in Pennsylvanian coals in southwestern Indiana were described, statistically analyzed, and subsequently interpreted in terms of their origin, relation to geologic lineaments, and significance for coal permeability and coalbed gas generation and storage. These cleats can be interpreted as the result of superimposed endogenic and exogenic processes. Endogenic processes are associated with coalification (i.e., matrix dehydration and shrinkage), while exogenic processes are mainly associated with larger-scale phenomena, such as tectonic stress. At least two distinct generations of cleats were identified on the basis of field reconnaissance and microscopic study: a first generation of cleats that developed early on during coalification and a second generation that cuts through the previous one at an angle that mimics the orientation of the present-day stress field. The observed parallelism between early-formed cleats and mapped lineaments suggests a well-established tectonic control during early cleat formation. Authigenic minerals filling early cleats represent the vestiges of once open hydrologic regimes. The second generation of cleats is characterized by less prominent features (i.e., smaller apertures) with a much less pronounced occurrence of authigenic mineralization. Our findings suggest a multistage development of cleats that resulted from tectonic stress regimes that changed orientation during coalification and basin evolution. The coals studied are characterized by a macrocleat distribution similar to that of well-developed coalbed methane basins (e.g., Black Warrior Basin, Alabama). Scatter plots and regression analyses of meso- and microcleats reveal a power-law distribution between spacing and cleat aperture. The same distribution was observed for fractures at microscopic scale. Our observations suggest that microcleats enhance permeability by providing additional paths for migration of gas out of the coal matrix, in addition to providing access for methanogenic bacteria. The abundance, distribution, and orientation of cleats control coal fabric and are crucial features in all stages of coalbed gas operations (i.e., exploration and production). Understanding coal fabric is important for coal gas exploration as it may be related to groundwater migration and the occurrence of methanogenic bacteria, prerequisite to biogenic gas accumulations. Likewise, the distribution of cleats in coal also determines pathways for migration and accumulation of thermogenic gas generated during coalification. ?? 2007 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Coal Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.coal.2007.02.004","issn":"01665162","usgsCitation":"Solano-Acosta, W., Mastalerz, M., and Schimmelmann, A., 2007, Cleats and their relation to geologic lineaments and coalbed methane potential in Pennsylvanian coals in Indiana: International Journal of Coal Geology, v. 72, no. 3-4, p. 187-208, https://doi.org/10.1016/j.coal.2007.02.004.","startPage":"187","endPage":"208","numberOfPages":"22","costCenters":[],"links":[{"id":212589,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2007.02.004"},{"id":240095,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f643e4b0c8380cd4c643","contributors":{"authors":[{"text":"Solano-Acosta, W.","contributorId":29212,"corporation":false,"usgs":true,"family":"Solano-Acosta","given":"W.","email":"","affiliations":[],"preferred":false,"id":431296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mastalerz, Maria","contributorId":78065,"corporation":false,"usgs":true,"family":"Mastalerz","given":"Maria","affiliations":[],"preferred":false,"id":431297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schimmelmann, A.","contributorId":28348,"corporation":false,"usgs":false,"family":"Schimmelmann","given":"A.","affiliations":[],"preferred":false,"id":431295,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031372,"text":"70031372 - 2007 - Diurnal variability in riverine dissolved organic matter composition determined by in situ optical measurement in the San Joaquin River (California, USA)","interactions":[],"lastModifiedDate":"2017-03-15T14:58:12","indexId":"70031372","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Diurnal variability in riverine dissolved organic matter composition determined by in situ optical measurement in the San Joaquin River (California, USA)","docAbstract":"Dissolved organic matter (DOM) concentration and composition in riverine and stream systems are known to vary with hydrological and productivity cycles over the annual and interannual time scales. Rivers are commonly perceived as homogeneous with respect to DOM concentration and composition, particularly under steady flow conditions over short time periods. However, few studies have evaluated the impact of short term variability ( &lt; 1 day) on DOM dynamics. This study examined whether diurnal processes measurably altered DOM concentration and composition in the hypereutrophic San Joaquin River (California) during a relatively quiescent period. We evaluated the efficacy of using optical in situ measurements to reveal changes in DOM which may not be evident from bulk dissolved organic carbon (DOC) measurement alone. The in situ optical measurements described in this study clearly showed for the first time diurnal variations in DOM measurements, which have previously been related to both composition and concentration, even though diurnal changes were not well reflected in bulk DOC concentrations. An apparent asynchronous trend of DOM absorbance and chlorophyll-a in comparison to chromophoric dissolved organic matter (CDOM) fluorescence and spectral slope S290-350 suggests that no one specific CDOM spectrophotometric measurement explains absolutely DOM diurnal variation in this system; the measurement of multiple optical parameters is therefore recommended. The observed diurnal changes in DOM composition, measured by in situ optical instrumentation likely reflect both photochemical and biologically-mediated processes. The results of this study highlight that short-term variability in DOM composition may complicate trends for studies aiming to distinguish different DOM sources in riverine systems and emphasizes the importance of sampling specific study sites to be compared at the same time of day. The utilization of in situ optical technology allows short-term variability in DOM dynamics to be monitored and serves to increase our understanding of its processing and fundamental role in the aquatic environment. Copyright ?? 2007 John Wiley & Sons, Ltd.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.6887","issn":"08856087","usgsCitation":"Spencer, R., Pellerin, B., Bergamaschi, B., Downing, B., Kraus, T., Smart, D., Dahlgren, R., and Hernes, P., 2007, Diurnal variability in riverine dissolved organic matter composition determined by in situ optical measurement in the San Joaquin River (California, USA): Hydrological Processes, v. 21, no. 23, p. 3181-3189, https://doi.org/10.1002/hyp.6887.","productDescription":"9 p.","startPage":"3181","endPage":"3189","numberOfPages":"9","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":239818,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212347,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.6887"}],"volume":"21","issue":"23","noUsgsAuthors":false,"publicationDate":"2007-09-25","publicationStatus":"PW","scienceBaseUri":"505a0343e4b0c8380cd503bf","contributors":{"authors":[{"text":"Spencer, R.G.M.","contributorId":60361,"corporation":false,"usgs":true,"family":"Spencer","given":"R.G.M.","email":"","affiliations":[],"preferred":false,"id":431237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, B.A.","contributorId":81233,"corporation":false,"usgs":true,"family":"Pellerin","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":431239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergamaschi, B.A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":22401,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"B.A.","affiliations":[],"preferred":false,"id":431235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Downing, B.D. 0000-0002-2007-5304","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":71681,"corporation":false,"usgs":true,"family":"Downing","given":"B.D.","affiliations":[],"preferred":false,"id":431238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kraus, T.E.C. 0000-0002-5187-8644","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":9758,"corporation":false,"usgs":true,"family":"Kraus","given":"T.E.C.","affiliations":[],"preferred":false,"id":431234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smart, D.R.","contributorId":99774,"corporation":false,"usgs":true,"family":"Smart","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":431241,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dahlgren, R.A.","contributorId":28409,"corporation":false,"usgs":true,"family":"Dahlgren","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":431236,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hernes, P.J.","contributorId":89651,"corporation":false,"usgs":true,"family":"Hernes","given":"P.J.","affiliations":[],"preferred":false,"id":431240,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70031337,"text":"70031337 - 2007 - Centimeter-scale characterization of biogeochemical gradients at a wetland-aquifer interface using capillary electrophoresis","interactions":[],"lastModifiedDate":"2018-10-17T12:20:35","indexId":"70031337","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Centimeter-scale characterization of biogeochemical gradients at a wetland-aquifer interface using capillary electrophoresis","docAbstract":"<p>Steep biogeochemical gradients were measured at mixing interfaces in a wetland-aquifer system impacted by landfill leachate in Norman, Oklahoma. The system lies within a reworked alluvial plain and is characterized by layered low hydraulic conductivity wetland sediments interbedded with sandy aquifer material. Using cm-scale passive diffusion samplers, \"peepers\", water samples were collected in a depth profile to span interfaces between surface water and a sequence of deeper sedimentary layers. Geochemical indicators including electron acceptors, low-molecular-weight organic acids, base cations, and NH4+ were analyzed by capillary electrophoresis (CE) and field techniques to maximize the small sample volumes available from the centimeter-scale peepers. Steep concentration gradients of biogeochemical indicators were observed at various interfaces including those created at sedimentary boundaries and boundaries created by heterogeneities in organic C and available electron acceptors. At the sediment-water interface, chemical profiles with depth suggest that SO42 - and Fe reduction dominate driven by inputs of organic C from the wetland and availability of electron acceptors. Deeper in the sediments (not associated with a lithologic boundary), a steep gradient of organic acids (acetate maximum 8.8 mM) and NH4+ (maximum 36 mM) is observed due to a localized source of organic matter coupled with the lack of electron acceptor inputs. These findings highlight the importance of quantifying the redox reactions occurring in small interface zones and assessing their role on biogeochemical cycling at the system scale.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2007.06.003","issn":"08832927","usgsCitation":"Baez-Cazull, S., McGuire, J., Cozzarelli, I.M., Raymond, A., and Welsh, L., 2007, Centimeter-scale characterization of biogeochemical gradients at a wetland-aquifer interface using capillary electrophoresis: Applied Geochemistry, v. 22, no. 12, p. 2664-2683, https://doi.org/10.1016/j.apgeochem.2007.06.003.","productDescription":"20 p.","startPage":"2664","endPage":"2683","numberOfPages":"20","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":239783,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212317,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2007.06.003"}],"country":"United States","state":"Oklahoma","city":"Norman","volume":"22","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f3ede4b0c8380cd4ba31","contributors":{"authors":[{"text":"Baez-Cazull, S.","contributorId":47583,"corporation":false,"usgs":true,"family":"Baez-Cazull","given":"S.","affiliations":[],"preferred":false,"id":431105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, J.T.","contributorId":17023,"corporation":false,"usgs":true,"family":"McGuire","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":431102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":431103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raymond, A.","contributorId":14118,"corporation":false,"usgs":true,"family":"Raymond","given":"A.","email":"","affiliations":[],"preferred":false,"id":431101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welsh, L.","contributorId":30038,"corporation":false,"usgs":true,"family":"Welsh","given":"L.","email":"","affiliations":[],"preferred":false,"id":431104,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70031277,"text":"70031277 - 2007 - Dissolved organic carbon in Alaskan boreal forest: Sources, chemical characteristics, and biodegradability","interactions":[],"lastModifiedDate":"2018-10-17T09:45:54","indexId":"70031277","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved organic carbon in Alaskan boreal forest: Sources, chemical characteristics, and biodegradability","docAbstract":"<p>The fate of terrestrially-derived dissolved organic carbon (DOC) is important to carbon (C) cycling in both terrestrial and aquatic environments, and recent evidence suggests that climate warming is influencing DOC dynamics in northern ecosystems. To understand what determines the fate of terrestrial DOC, it is essential to quantify the chemical nature and potential biodegradability of this DOC. We examined DOC chemical characteristics and biodegradability collected from soil pore waters and dominant vegetation species in four boreal black spruce forest sites in Alaska spanning a range of hydrologic regimes and permafrost extents (Well Drained, Moderately Well Drained, Poorly Drained, and Thermokarst Wetlands). DOC chemistry was characterized using fractionation, UV-Vis absorbance, and fluorescence measurements. Potential biodegradability was assessed by incubating the samples and measuring CO2 production over 1 month. Soil pore water DOC from all sites was dominated by hydrophobic acids and was highly aromatic, whereas the chemical composition of vegetation leachate DOC varied significantly with species. There was no seasonal variability in soil pore water DOC chemical characteristics or biodegradability; however, DOC collected from the Poorly Drained site was significantly less biodegradable than DOC from the other three sites (6% loss vs. 13-15% loss). The biodegradability of vegetation-derived DOC ranged from 10 to 90% loss, and was strongly correlated with hydrophilic DOC content. Vegetation such as Sphagnum moss and feathermosses yielded DOC that was quickly metabolized and respired. In contrast, the DOC leached from vegetation such as black spruce was moderately recalcitrant. Changes in DOC chemical characteristics that occurred during microbial metabolism of DOC were quantified using fractionation and fluorescence. The chemical characteristics and biodegradability of DOC in soil pore waters were most similar to the moderately recalcitrant vegetation leachates, and to the microbially altered DOC from all vegetation leachates.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10021-007-9101-4","issn":"14329840","usgsCitation":"Wickland, K.P., Neff, J.C., and Aiken, G.R., 2007, Dissolved organic carbon in Alaskan boreal forest: Sources, chemical characteristics, and biodegradability: Ecosystems, v. 10, no. 8, p. 1323-1340, https://doi.org/10.1007/s10021-007-9101-4.","productDescription":"18 p.","startPage":"1323","endPage":"1340","numberOfPages":"18","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":239983,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212492,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10021-007-9101-4"}],"country":"United States","state":"Alaska","volume":"10","issue":"8","noUsgsAuthors":false,"publicationDate":"2007-11-13","publicationStatus":"PW","scienceBaseUri":"505a0239e4b0c8380cd4ff5b","contributors":{"authors":[{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":430864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neff, Jason C.","contributorId":34813,"corporation":false,"usgs":true,"family":"Neff","given":"Jason","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":430866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":430865,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031188,"text":"70031188 - 2007 - Three-dimensional flow in the Florida platform: Theoretical analysis of Kohout convection at its type locality","interactions":[],"lastModifiedDate":"2018-10-17T08:25:36","indexId":"70031188","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional flow in the Florida platform: Theoretical analysis of Kohout convection at its type locality","docAbstract":"<p>Kohout convection is the name given to the circulation of saline groundwater deep within carbonate platforms, first proposed by F.A. Kohout in the 1960s for south Florida. It is now seen as an Mg pump for dolomitization by seawater. As proposed by Kohout, cold seawater is drawn into the Florida platform from the deep Straits of Florida as part of a geothermally driven circulation in which the seawater then rises in the interior of the platform to mix and exit with the discharging meteoric water of the Floridan aquifer system. Simulation of the asymmetrically emergent Florida platform with the new three-dimensional (3-D), finite-element groundwater flow and transport model SUTRA-MS, which couples salinity- and temperature-dependent density variations, allows analysis of how much of the cyclic flow is due to geothermal heating (free convection) as opposed to mixing with meteoric water discharging to the shoreline (forced convection). Simulation of the system with and without geothermal heating reveals that the inflow of seawater from the Straits of Florida would be similar without the heat flow, but the distribution would differ significantly. The addition of heat flow reduces the asymmetry of the circulation: it decreases seawater inflows on the Atlantic side by 8% and on the Guff of Mexico side by half. The study illustrates the complex interplay of freshwater-saltwater mixing, geothermal heat flow, and projected dolomitization in complicated 3-D settings with asymmetric boundary conditions and realistic horizontal and vertical variations in hydraulic properties.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/G23374A.1","issn":"00917613","usgsCitation":"Hughes, J., Vacher, H.L., and Sanford, W.E., 2007, Three-dimensional flow in the Florida platform: Theoretical analysis of Kohout convection at its type locality: Geology, v. 35, no. 7, p. 663-666, https://doi.org/10.1130/G23374A.1.","productDescription":"4 p.","startPage":"663","endPage":"666","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238821,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211521,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G23374A.1"}],"country":"United States","state":"Florida","volume":"35","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb327e4b08c986b325bf4","contributors":{"authors":[{"text":"Hughes, J.D.","contributorId":25539,"corporation":false,"usgs":true,"family":"Hughes","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":430430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vacher, H. Leonard","contributorId":90529,"corporation":false,"usgs":false,"family":"Vacher","given":"H.","email":"","middleInitial":"Leonard","affiliations":[],"preferred":false,"id":430431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":430432,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031179,"text":"70031179 - 2007 - Rainfall limit of the N cycle on Earth","interactions":[],"lastModifiedDate":"2023-07-26T11:49:58.222091","indexId":"70031179","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Rainfall limit of the N cycle on Earth","docAbstract":"<p><span>In most climates on Earth, biological processes control soil N. In the Atacama Desert of Chile, aridity severely limits biology, and soils accumulate atmospheric NO</span><sub>3</sub><sup>−</sup><span>. We examined this apparent transformation of the soil N cycle using a series of ancient Atacama Desert soils (&gt;2 My) that vary in rainfall (21 to &lt;2 mm yr</span><sup>−1</sup><span>). With decreasing rainfall, soil organic C decreases to 0.3 kg C m</span><sup>−2</sup><span>&nbsp;and biological activity becomes minimal, while soil NO</span><sub>3</sub><sup>−</sup><span>&nbsp;and organic N increase to 4 kg N m</span><sup>−2</sup><span>&nbsp;and 1.4 kg N m</span><sup>−2</sup><span>, respectively. Atmospheric NO</span><sub>3</sub><sup>−</sup><span>&nbsp;(Δ</span><sup>17</sup><span>O = 23.0‰) increases from 39% to 80% of total soil NO</span><sub>3</sub><sup>−</sup><span>&nbsp;as rainfall decreases. These soils capture the transition from a steady state, biologically mediated soil N cycle to a dominantly abiotic, transient state of slowly accumulating atmospheric N. This transition suggests that oxidized soil N may be present in an even more arid and abiotic environment: Mars.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2006GB002838","issn":"08866236","usgsCitation":"Ewing, S.A., Michalski, G., Thiemens, M., Quinn, R., Macalady, J.L., Kohl, S., Wankel, S.D., Kendall, C., McKay, C.P., and Amundson, R., 2007, Rainfall limit of the N cycle on Earth: Global Biogeochemical Cycles, v. 21, no. 3, GB3009, 12 p., https://doi.org/10.1029/2006GB002838.","productDescription":"GB3009, 12 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":477068,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006gb002838","text":"Publisher Index Page"},{"id":238787,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"3","noUsgsAuthors":false,"publicationDate":"2007-08-08","publicationStatus":"PW","scienceBaseUri":"505a9461e4b0c8380cd81396","contributors":{"authors":[{"text":"Ewing, Stephanie A.","contributorId":50065,"corporation":false,"usgs":true,"family":"Ewing","given":"Stephanie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":430391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michalski, Greg","contributorId":187898,"corporation":false,"usgs":false,"family":"Michalski","given":"Greg","email":"","affiliations":[{"id":28086,"text":"University of California San Diego","active":true,"usgs":false}],"preferred":false,"id":430384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thiemens, Mark","contributorId":187899,"corporation":false,"usgs":false,"family":"Thiemens","given":"Mark","email":"","affiliations":[{"id":28086,"text":"University of California San Diego","active":true,"usgs":false}],"preferred":false,"id":430387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quinn, R.C.","contributorId":30437,"corporation":false,"usgs":true,"family":"Quinn","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":430382,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Macalady, J. L.","contributorId":95600,"corporation":false,"usgs":false,"family":"Macalady","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":430389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kohl, S.","contributorId":68531,"corporation":false,"usgs":true,"family":"Kohl","given":"S.","affiliations":[],"preferred":false,"id":430388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wankel, Scott D.","contributorId":98076,"corporation":false,"usgs":true,"family":"Wankel","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":430390,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":430383,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McKay, Christopher P","contributorId":191268,"corporation":false,"usgs":false,"family":"McKay","given":"Christopher","email":"","middleInitial":"P","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":430385,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Amundson, Ronald","contributorId":59925,"corporation":false,"usgs":true,"family":"Amundson","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":430386,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70031099,"text":"70031099 - 2007 - Sources of speciated atmospheric mercury at a residential neighborhood impacted by industrial sources","interactions":[],"lastModifiedDate":"2018-10-16T11:24:35","indexId":"70031099","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Sources of speciated atmospheric mercury at a residential neighborhood impacted by industrial sources","docAbstract":"<p>Speciated measurements of atmospheric mercury plumes were obtained at an industrially impacted residential area of East St. Louis, IL. These plumes were found to result in extremely high mercury concentrations at ground level that were composed of a wide distribution of mercury species. Ground level concentrations as high as 235 ng m-3 for elemental mercury (Hg 0) and 38 300 pg m-3 for reactive mercury species (reactive gaseous (RGM) plus particulate (PHg) mercury) were measured. The highest mercury concentrations observed during the study were associated with plumes that contained high concentrations of all mercury species (Hg 0, RGM, and PHg) and originated from a source located southwest of the sampling site. Variations in proportions of Hg0/RGM/PHg among plumes, with Hg0 dominating some plumes and RGM and/or PHg dominating others, were attributed to differences in emissions from different sources. Correlations between mercury plumes and elevated NOx were not observed; however, a correlation between elevated SO2 and mercury plumes was observed during some but not all plume events. Despite the presence of six coal-fired power plants within 60 km of the study site, wind direction data along with Hg/SO2 and Hg/NOx ratios suggest that high-concentration mercury plumes impacting the St. Louis-Midwest Particle Matter Supersite are attributable to local point sources within 5 km of the site.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es0700348","issn":"0013936X","usgsCitation":"Manolopoulos, H., Snyder, D., Schauer, J.J., Hill, J., Turner, J., Olson, M.L., and Krabbenhoft, D.P., 2007, Sources of speciated atmospheric mercury at a residential neighborhood impacted by industrial sources: Environmental Science & Technology, v. 41, no. 16, p. 5626-5633, https://doi.org/10.1021/es0700348.","productDescription":"8 p.","startPage":"5626","endPage":"5633","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":211427,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es0700348"},{"id":238713,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"St. Louis","otherGeospatial":"St. Louis-Midwest Particle Matter Supersite","volume":"41","issue":"16","noUsgsAuthors":false,"publicationDate":"2007-07-11","publicationStatus":"PW","scienceBaseUri":"505b9391e4b08c986b31a576","contributors":{"authors":[{"text":"Manolopoulos, H.","contributorId":74573,"corporation":false,"usgs":true,"family":"Manolopoulos","given":"H.","email":"","affiliations":[],"preferred":false,"id":430025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyder, D.C.","contributorId":56853,"corporation":false,"usgs":true,"family":"Snyder","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":430024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schauer, James J","contributorId":200131,"corporation":false,"usgs":false,"family":"Schauer","given":"James","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":430029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, J.S.","contributorId":88553,"corporation":false,"usgs":true,"family":"Hill","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":430026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turner, J.R.","contributorId":92487,"corporation":false,"usgs":true,"family":"Turner","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":430028,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olson, Mark L.","contributorId":149743,"corporation":false,"usgs":false,"family":"Olson","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":17808,"text":"University of Illinois, Champaign","active":true,"usgs":false}],"preferred":false,"id":430023,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":430027,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70031018,"text":"70031018 - 2007 - Estimating the bankfull velocity and discharge for rivers using remotely sensed river morphology information","interactions":[],"lastModifiedDate":"2012-03-12T17:21:05","indexId":"70031018","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Estimating the bankfull velocity and discharge for rivers using remotely sensed river morphology information","docAbstract":"A method to estimate the bankfull velocity and discharge in rivers that uses the morphological variables of the river channel, including bankfull width, channel slope, and meander length was developed and tested. Because these variables can be measured remotely from topographic and river alignment information derived from aerial photos and satellite imagery, it is possible that the bankfull state of flow can be estimated for rivers entirely from remotely-sensed information. Defining the bankfull hydraulics of rivers would also provide a reference condition for remote tracking of dynamic variables including width, stage, and slope, and for quantifying relative change in flow conditions of rivers over large regions. This could provide a more efficient method to inventory and quantify river hydraulic attributes and dynamics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2007.04.011","issn":"00221694","usgsCitation":"Bjerklie, D., 2007, Estimating the bankfull velocity and discharge for rivers using remotely sensed river morphology information: Journal of Hydrology, v. 341, no. 3-4, p. 144-155, https://doi.org/10.1016/j.jhydrol.2007.04.011.","startPage":"144","endPage":"155","numberOfPages":"12","costCenters":[],"links":[{"id":211644,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2007.04.011"},{"id":238971,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"341","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b57e4b0c8380cd526a3","contributors":{"authors":[{"text":"Bjerklie, D.M.","contributorId":68923,"corporation":false,"usgs":true,"family":"Bjerklie","given":"D.M.","affiliations":[],"preferred":false,"id":429656,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70035579,"text":"70035579 - 2007 - Integrating observation and statistical forecasts over sub-Saharan Africa to support Famine Early Warning","interactions":[],"lastModifiedDate":"2022-05-18T15:04:30.297996","indexId":"70035579","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrating observation and statistical forecasts over sub-Saharan Africa to support Famine Early Warning","docAbstract":"Famine early warning in Africa presents unique challenges and rewards. Hydrologic extremes must be tracked and anticipated over complex and changing climate regimes. The successful anticipation and interpretation of hydrologic shocks can initiate effective government response, saving lives and softening the impacts of droughts and floods. While both monitoring and forecast technologies continue to advance, discontinuities between monitoring and forecast systems inhibit effective decision making. Monitoring systems typically rely on high resolution satellite remote-sensed normalized difference vegetation index (NDVI) and rainfall imagery. Forecast systems provide information on a variety of scales and formats. Non-meteorologists are often unable or unwilling to connect the dots between these disparate sources of information. To mitigate these problem researchers at UCSB's Climate Hazard Group, NASA GIMMS and USGS/EROS are implementing a NASA-funded integrated decision support system that combines the monitoring of precipitation and NDVI with statistical one-to-three month forecasts. We present the monitoring/forecast system, assess its accuracy, and demonstrate its application in food insecure sub-Saharan Africa.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"87th American Meteorological Society annual meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"87th American Meteorological Society Annual Meeting","conferenceDate":"Jan 14-18, 2007","conferenceLocation":"San Antonio, TX","language":"English","publisher":"American Meteorological Society","usgsCitation":"Funk, C., Verdin, J.P., and Husak, G., 2007, Integrating observation and statistical forecasts over sub-Saharan Africa to support Famine Early Warning, <i>in</i> 87th American Meteorological Society annual meeting, San Antonio, TX, Jan 14-18, 2007.","numberOfPages":"20","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244260,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -16.69921875,\n              17.5602465032949\n            ],\n            [\n              -17.841796875,\n              14.859850400601037\n            ],\n            [\n              -17.402343749999996,\n              12.811801316582619\n            ],\n            [\n              -16.962890625,\n              11.781325296112277\n            ],\n            [\n              -13.974609375,\n              9.44906182688142\n            ],\n            [\n              -13.623046875,\n              7.710991655433217\n            ],\n            [\n              -11.42578125,\n              6.227933930268672\n            ],\n            [\n              -7.91015625,\n              4.039617826768437\n            ],\n            [\n              -4.74609375,\n              4.8282597468669755\n            ],\n            [\n              -2.197265625,\n              4.390228926463396\n            ],\n            [\n              3.1640625,\n              6.053161295714067\n            ],\n            [\n              4.306640625,\n              5.703447982149503\n            ],\n            [\n              5.625,\n              4.12728532324537\n            ],\n            [\n              7.822265625000001,\n              4.214943141390651\n            ],\n            [\n              9.140625,\n              1.4939713066293239\n            ],\n            [\n              7.91015625,\n              -0.8788717828324148\n            ],\n            [\n              11.513671874999998,\n              -5.00339434502215\n            ],\n            [\n              12.65625,\n              -7.972197714386866\n            ],\n            [\n              12.392578125,\n              -8.667918002363107\n            ],\n            [\n              13.7109375,\n              -11.867350911459294\n            ],\n            [\n              12.392578125,\n              -12.125264218331578\n            ],\n            [\n              11.25,\n              -15.707662769583505\n            ],\n            [\n              10.986328125,\n              -17.644022027872712\n            ],\n            [\n              13.798828125,\n              -22.43134015636061\n            ],\n            [\n              14.677734375000002,\n              -27.449790329784214\n            ],\n            [\n              16.171875,\n              -28.998531814051795\n            ],\n            [\n              17.666015625,\n              -32.10118973232094\n            ],\n            [\n              16.69921875,\n              -32.916485347314385\n            ],\n            [\n              19.599609375,\n              -35.24561909420681\n            ],\n            [\n              22.587890625,\n              -34.37971258046219\n            ],\n            [\n              25.400390625,\n              -34.37971258046219\n            ],\n            [\n              28.212890625,\n              -33.43144133557529\n            ],\n            [\n              32.51953125,\n              -28.998531814051795\n            ],\n            [\n              33.046875,\n              -27.449790329784214\n            ],\n            [\n              33.310546875,\n              -25.562265014427492\n            ],\n            [\n              35.859375,\n              -24.5271348225978\n            ],\n            [\n              35.859375,\n              -22.43134015636061\n            ],\n            [\n              35.68359375,\n              -21.37124437061831\n            ],\n            [\n              35.068359375,\n              -20.055931265194438\n            ],\n            [\n              39.55078125,\n              -16.97274101999901\n            ],\n            [\n              40.95703125,\n              -15.28418511407642\n            ],\n            [\n              40.869140625,\n              -10.487811882056683\n            ],\n            [\n              39.814453125,\n              -8.49410453755187\n            ],\n            [\n              39.7265625,\n              -7.362466865535738\n            ],\n            [\n              40.166015625,\n              -3.601142320158722\n            ],\n            [\n              43.06640625,\n              0.08789059053082422\n            ],\n            [\n              47.8125,\n              3.8642546157214084\n            ],\n            [\n              51.15234375,\n              9.44906182688142\n            ],\n            [\n              51.591796875,\n              11.781325296112277\n            ],\n            [\n              51.328125,\n              12.382928338487396\n            ],\n            [\n              44.560546875,\n              11.092165893502\n            ],\n            [\n              44.12109374999999,\n              12.211180191503997\n            ],\n            [\n              42.01171875,\n              14.179186142354181\n            ],\n            [\n              39.990234375,\n              15.453680224345835\n            ],\n            [\n              38.935546875,\n              18.47960905583197\n            ],\n            [\n              36.650390625,\n              16.29905101458183\n            ],\n            [\n              34.716796875,\n              16.720385051694\n            ],\n            [\n              32.34375,\n              16.29905101458183\n            ],\n            [\n              31.46484375,\n              14.944784875088372\n            ],\n            [\n              27.158203125,\n              14.349547837185362\n            ],\n            [\n              22.5,\n              15.792253570362446\n            ],\n            [\n              19.51171875,\n              16.130262012034756\n            ],\n            [\n              16.611328125,\n              14.689881366618762\n            ],\n            [\n              15.1171875,\n              14.944784875088372\n            ],\n            [\n              13.0078125,\n              14.43468021529728\n            ],\n            [\n              12.041015625,\n              14.944784875088372\n            ],\n            [\n              10.986328125,\n              15.961329081596647\n            ],\n            [\n              8.61328125,\n              15.199386048559994\n            ],\n            [\n              7.294921874999999,\n              15.961329081596647\n            ],\n            [\n              6.15234375,\n              16.636191878397664\n            ],\n            [\n              5.09765625,\n              16.636191878397664\n            ],\n            [\n              3.69140625,\n              15.284185114076433\n            ],\n            [\n              2.021484375,\n              15.368949896534705\n            ],\n            [\n              2.63671875,\n              16.636191878397664\n            ],\n            [\n              -1.23046875,\n              16.720385051694\n            ],\n            [\n              -3.6035156249999996,\n              17.308687886770034\n            ],\n            [\n              -5.44921875,\n              16.720385051694\n            ],\n            [\n              -8.173828125,\n              17.476432197195518\n            ],\n            [\n              -9.31640625,\n              17.392579271057766\n            ],\n            [\n              -10.72265625,\n              17.97873309555617\n            ],\n            [\n              -12.12890625,\n              17.22475820662464\n            ],\n            [\n              -13.623046875,\n              17.727758609852284\n            ],\n            [\n              -16.69921875,\n              17.5602465032949\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              45.17578125,\n              -25.95804467331783\n            ],\n            [\n              47.373046875,\n              -25.48295117535531\n            ],\n            [\n              48.1640625,\n              -22.91792293614603\n            ],\n            [\n              50.9765625,\n              -15.453680224345835\n            ],\n            [\n              49.658203125,\n              -11.953349393643416\n            ],\n            [\n              48.603515625,\n              -11.60919340793894\n            ],\n            [\n              45.966796875,\n              -14.859850400601037\n            ],\n            [\n              44.12109374999999,\n              -15.538375926292048\n            ],\n            [\n              43.41796875,\n              -17.308687886770024\n            ],\n            [\n              44.033203125,\n              -19.559790136497398\n            ],\n            [\n              42.71484375,\n              -22.105998799750566\n            ],\n            [\n              43.2421875,\n              -23.40276490540795\n            ],\n            [\n              43.505859375,\n              -25.005972656239177\n            ],\n            [\n              45.17578125,\n              -25.95804467331783\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c7de4b0c8380cd62d9a","contributors":{"authors":[{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":451322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":451320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Husak, Gregory","contributorId":145811,"corporation":false,"usgs":false,"family":"Husak","given":"Gregory","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":451321,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031016,"text":"70031016 - 2007 - Identifying sources of nitrogen to Hanalei Bay, Kauai, utilizing the nitrogen isotope signature of macroalgae","interactions":[],"lastModifiedDate":"2023-07-31T12:20:02.840178","indexId":"70031016","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Identifying sources of nitrogen to Hanalei Bay, Kauai, utilizing the nitrogen isotope signature of macroalgae","docAbstract":"<div class=\"article_abstract\"><div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Sewage effluent, storm runoff, discharge from polluted rivers, and inputs of groundwater have all been suggested as potential sources of land derived nutrients into Hanalei Bay, Kauai. We determined the nitrogen isotopic signatures (δ<sup>15</sup>N) of different nitrate sources to Hanalei Bay along with the isotopic signature recorded by 11 species of macroalgal collected in the Bay. The macroalgae integrate the isotopic signatures of the nitrate sources over time, thus these data along with the nitrate to dissolved inorganic phosphate molar ratios (N:P) of the macroalgae were used to determine the major nitrate source to the bay ecosystem and which of the macro-nutrients is limiting algae growth, respectively. Relatively low δ<sup>15</sup>N values (average −0.5‰) were observed in all algae collected throughout the Bay; implicating fertilizer, rather than domestic sewage, as an important external source of nitrogen to the coastal water around Hanalei. The N:P ratio in the algae compared to the ratio in the Bay waters imply that the Hanalei Bay coastal ecosystem is nitrogen limited and thus, increased nitrogen input may potentially impact this coastal ecosystem and specifically the coral reefs in the Bay. Identifying the major source of nutrient loading to the Bay is important for risk assessment and potential remediation plans.</p></div></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es0700449","issn":"0013936X","usgsCitation":"Derse, E., Knee, K., Wankel, S.D., Kendall, C., Berg, C.J., and Paytan, A., 2007, Identifying sources of nitrogen to Hanalei Bay, Kauai, utilizing the nitrogen isotope signature of macroalgae: Environmental Science & Technology, v. 41, no. 15, p. 5217-5223, https://doi.org/10.1021/es0700449.","productDescription":"7 p.","startPage":"5217","endPage":"5223","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238939,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kauai Island, Hanalei Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159.53350067138672,\n              22.19916683397288\n            ],\n            [\n              -159.48526382446286,\n              22.19916683397288\n            ],\n            [\n              -159.48526382446286,\n              22.234446448737298\n            ],\n            [\n              -159.53350067138672,\n              22.234446448737298\n            ],\n            [\n              -159.53350067138672,\n              22.19916683397288\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"15","noUsgsAuthors":false,"publicationDate":"2007-06-19","publicationStatus":"PW","scienceBaseUri":"505a3856e4b0c8380cd6152b","contributors":{"authors":[{"text":"Derse, E.","contributorId":55637,"corporation":false,"usgs":true,"family":"Derse","given":"E.","email":"","affiliations":[],"preferred":false,"id":429648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knee, K.L.","contributorId":13811,"corporation":false,"usgs":true,"family":"Knee","given":"K.L.","affiliations":[],"preferred":false,"id":429646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wankel, Scott D.","contributorId":98076,"corporation":false,"usgs":true,"family":"Wankel","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":429650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":429647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berg, Carl J. Jr.","contributorId":41091,"corporation":false,"usgs":true,"family":"Berg","given":"Carl","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":429649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paytan, A.","contributorId":98926,"corporation":false,"usgs":true,"family":"Paytan","given":"A.","affiliations":[],"preferred":false,"id":429651,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70030101,"text":"70030101 - 2007 - Estimation of evapotranspiration by reed canarygrass using field observations and model simulations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:05","indexId":"70030101","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Estimation of evapotranspiration by reed canarygrass using field observations and model simulations","docAbstract":"Reed canarygrass (Phalaris arundinacea) commonly invades meadow wetlands, effectively dominating water use and outcompeting native plants. Objectives of this study were to (i) estimate daily, seasonal and annual water use by reed canarygrass using shallow water table fluctuations; and (ii) calibrate the ALMANAC (Agricultural Land Management Alternative with Numerical Assessment Criteria) model to accurately simulate water uptake by this grass. Using a groundwater well, the water table under an area in Iowa dominated by reed canarygrass was monitored hourly. Differences between water level measurements taken each hour were averaged to determine the hourly water table change in each month. Using these estimates of water use, the ALMANAC model was then calibrated to simulate plant transpiration values close to these water table use rates. Average monthly calculated daily plant water use rates were 3.3 mm d-1 in July and 2.3-2.8 mm d-1 in May, June, August, and September. Simulated bimonthly values for measured water use and plant transpiration simulated by the ALMANAC model differed by 14% or less. From May to October the mean ratio of measured to simulated values was 94%. Thus, the similarity between simulated plant transpiration and water use from the water table showed promise that this process-based model can realistically simulate water use under such grassland systems. ?? 2007 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2007.02.003","issn":"00221694","usgsCitation":"Schilling, K.E., and Kiniry, J.R., 2007, Estimation of evapotranspiration by reed canarygrass using field observations and model simulations: Journal of Hydrology, v. 337, no. 3-4, p. 356-363, https://doi.org/10.1016/j.jhydrol.2007.02.003.","startPage":"356","endPage":"363","numberOfPages":"8","costCenters":[],"links":[{"id":212728,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2007.02.003"},{"id":240260,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"337","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b87e4b0c8380cd52774","contributors":{"authors":[{"text":"Schilling, K. E.","contributorId":61982,"corporation":false,"usgs":true,"family":"Schilling","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":425717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiniry, James R.","contributorId":66918,"corporation":false,"usgs":true,"family":"Kiniry","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":425718,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182802,"text":"70182802 - 2007 - Accumulation of dechlorination daughter products: A valid metric of chloroethene biodegradation","interactions":[],"lastModifiedDate":"2018-10-17T10:53:52","indexId":"70182802","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3249,"text":"Remediation Journal","active":true,"publicationSubtype":{"id":10}},"title":"Accumulation of dechlorination daughter products: A valid metric of chloroethene biodegradation","docAbstract":"<p><span>In situ reductive dechlorination of perchloroethene (PCE) and trichloroethene (TCE) generates characteristic chlorinated (cis-dichloroethene [cis-DCE] and vinyl chloride [VC]) and nonchlorinated (ethene and ethane) products. The accumulation of these daughter products is commonly used as a metric for ongoing biodegradation at field sites. However, this interpretation assumes that reductive dechlorination is the only chloroethene degradation process of any significance in situ and that the characteristic daughter products of chloroethene reductive dechlorination persist in the environment. Laboratory microcosms, prepared with aquifer and surface-water sediments from hydrologically diverse sites throughout the United States and amended with [1,2-</span><sup>14</sup><span>C] TCE, [1,2-</span><sup>14</sup><span>C] DCE, [1,2-</span><sup>14</sup><span>C] DCA, or [1,2-</span><sup>14</sup><span>C] VC, demonstrated widely variable patterns of intermediate and final product accumulation. In predominantly methanogenic sediment treatments, accumulation of </span><sup>14</sup><span>C-DCE, </span><sup>14</sup><span>C-VC, </span><sup>14</sup><span>C-ethene, and </span><sup>14</sup><span>C-ethane predominated. Treatments characterized by significant Fe(III) and/or Mn(IV) reduction, on the other hand, demonstrated substantial, and in some cases exclusive, accumulation of </span><sup>14</sup><span>CO</span><sub>2</sub><span>and </span><sup>14</sup><span>CH</span><sub>4</sub><span>. These results suggest that relying on the accumulation of cis-DCE, VC, ethene, and ethane may substantially underestimate overall chloroethene biodegradation at many sites.</span></p>","language":"English","publisher":"Wiley ","doi":"10.1002/rem.20140","usgsCitation":"Bradley, P.M., and Chapelle, F.H., 2007, Accumulation of dechlorination daughter products: A valid metric of chloroethene biodegradation: Remediation Journal, v. 17, no. 4, p. 7-22, https://doi.org/10.1002/rem.20140.","productDescription":"16 p.","startPage":"7","endPage":"22","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":336355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"4","noUsgsAuthors":false,"publicationDate":"2007-09-21","publicationStatus":"PW","scienceBaseUri":"58b69a43e4b01ccd54ff3fba","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":673803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapelle, Frank H.","contributorId":53424,"corporation":false,"usgs":true,"family":"Chapelle","given":"Frank","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":673804,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70030984,"text":"70030984 - 2007 - Monitoring engineered remediation with borehole radar","interactions":[],"lastModifiedDate":"2019-10-17T09:54:03","indexId":"70030984","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring engineered remediation with borehole radar","docAbstract":"<p>The success of engineered remediation is predicated on correct emplacement of either amendments (e.g., vegetable-oil emulsion, lactate, molasses, etc.) or permeable reactive barriers (e.g., vegetable oil, zero-valent iron, etc.) to enhance microbial or geochemical breakdown of contaminants and treat contaminants. Currently, site managers have limited tools to provide information about the distribution of injected materials; the existence of gaps or holes in barriers; and breakdown or transformation of injected materials over time.</p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.2769561","issn":"1070485X","usgsCitation":"Lane, J.W., Day-Lewis, F.D., and Joesten, P.K., 2007, Monitoring engineered remediation with borehole radar: The Leading Edge, v. 26, no. 8, p. 1032-1035, https://doi.org/10.1190/1.2769561.","productDescription":"4 p.","startPage":"1032","endPage":"1035","numberOfPages":"4","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238969,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5da3e4b0c8380cd704d4","contributors":{"authors":[{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":429503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":429501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joesten, Peter K. pjoesten@usgs.gov","contributorId":1929,"corporation":false,"usgs":true,"family":"Joesten","given":"Peter","email":"pjoesten@usgs.gov","middleInitial":"K.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":429502,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70030964,"text":"70030964 - 2007 - Thioarsenates in geothermal waters of Yellowstone National Park: Determination, preservation, and geochemical importance","interactions":[],"lastModifiedDate":"2018-10-16T08:33:27","indexId":"70030964","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Thioarsenates in geothermal waters of Yellowstone National Park: Determination, preservation, and geochemical importance","docAbstract":"<p>Mono-, di-, tri-, and tetrathioarsenate, as well as methylated arsenic oxy- and thioanions, were determined besides arsenite and arsenate in geothermal waters of Yellowstone National Park using anion-exchange chromatography inductively coupled plasma mass spectrometry. Retention time match with synthetic standards, measured S:As ratios, and molecular electrospray mass spectra support the identification. Acidification was unsuitable for arsenic species preservation in sulfidic waters, with HCl addition causing loss of total dissolved arsenic, presumably by precipitation of arsenic-sulfides. Flash-freezing is preferred for the preservation of arsenic species for several weeks. After thawing, samples must be analyzed immediately. Thioarsenates occurred over a pH range of 2.1 to 9.3 in the geothermal waters. They clearly predominated under alkaline conditions (up to 83% of total arsenic), but monothioarsenate also was detected in acidic waters (up to 34%). Kinetic studies along a drainage channel showed the importance of thioarsenates for the fate of arsenic discharged from the sulfidic hot spring. The observed arsenic speciation changes suggest three separate reactions: the transformation of trithioarsenate to arsenite (major initial reaction), the stepwise ligand exchange from tri- via di- and monothioarsenate to arsenate (minor reaction), and the oxidation of arsenite to arsenate, which only becomes quantitatively important after thioarsenates have disappeared.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es070273v","issn":"0013936X","usgsCitation":"Planer-Friedrich, B., London, J., McCleskey, R.B., Nordstrom, D.K., and Wallschlager, D., 2007, Thioarsenates in geothermal waters of Yellowstone National Park: Determination, preservation, and geochemical importance: Environmental Science & Technology, v. 41, no. 15, p. 5245-5251, https://doi.org/10.1021/es070273v.","productDescription":"7 p.","startPage":"5245","endPage":"5251","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":211362,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es070273v"},{"id":238640,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.368408203125,\n              43.67581809328341\n            ],\n            [\n              -109.522705078125,\n              43.67581809328341\n            ],\n            [\n              -109.522705078125,\n              45.19752230305682\n            ],\n            [\n              -111.368408203125,\n              45.19752230305682\n            ],\n            [\n              -111.368408203125,\n              43.67581809328341\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"15","noUsgsAuthors":false,"publicationDate":"2007-06-16","publicationStatus":"PW","scienceBaseUri":"505bb2c0e4b08c986b3259b9","contributors":{"authors":[{"text":"Planer-Friedrich, B.","contributorId":87749,"corporation":false,"usgs":true,"family":"Planer-Friedrich","given":"B.","email":"","affiliations":[],"preferred":false,"id":429419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"London, J.","contributorId":22931,"corporation":false,"usgs":true,"family":"London","given":"J.","email":"","affiliations":[],"preferred":false,"id":429417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":429416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":429420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wallschlager, D.","contributorId":38357,"corporation":false,"usgs":true,"family":"Wallschlager","given":"D.","email":"","affiliations":[],"preferred":false,"id":429418,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70030895,"text":"70030895 - 2007 - Oxygen isotopes in nitrite: Analysis, calibration, and equilibration","interactions":[],"lastModifiedDate":"2018-10-17T09:37:20","indexId":"70030895","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":761,"text":"Analytical Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Oxygen isotopes in nitrite: Analysis, calibration, and equilibration","docAbstract":"<p><span>Nitrite is a central intermediate in the nitrogen cycle and can persist in significant concentrations in ocean waters, sediment pore waters, and terrestrial groundwaters. To fully interpret the effect of microbial processes on nitrate (NO</span><sub>3</sub><sup>-</sup><span>), nitrite (NO</span><sub>2</sub><sup>-</sup><span>), and nitrous oxide (N</span><sub>2</sub><span>O) cycling in these systems, the nitrite pool must be accessible to isotopic analysis. Furthermore, because nitrite interferes with most methods of nitrate isotopic analysis, accurate isotopic analysis of nitrite is essential for correct measurement of nitrate isotopes in a sample that contains nitrite. In this study, nitrite salts with varying oxygen isotopic compositions were prepared and calibrated and then used to test the denitrifier method for nitrite oxygen isotopic analysis. The oxygen isotopic fractionation during nitrite reduction to N</span><sub>2</sub><span>O by </span><i>Pseudomonas </i><i>aureofaciens</i><span> was lower than for nitrate conversion to N</span><sub>2</sub><span>O, while oxygen isotopic exchange between nitrite and water during the reaction was similar. These results enable the extension of the denitrifier method to oxygen isotopic analysis of nitrite (in the absence of nitrate) and correction of nitrate isotopes for the presence of nitrite in “mixed” samples. We tested storage conditions for seawater and freshwater samples that contain nitrite and provide recommendations for accurate oxygen isotopic analysis of nitrite by any method. Finally, we report preliminary results on the equilibrium isotope effect between nitrite and water, which can play an important role in determining the oxygen isotopic value of nitrite where equilibration with water is significant.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/ac061598h","issn":"00032700","usgsCitation":"Casciotti, K., Bohlke, J.K., McIlvin, M., Mroczkowski, S.J., and Hannon, J.E., 2007, Oxygen isotopes in nitrite: Analysis, calibration, and equilibration: Analytical Chemistry, v. 79, no. 6, p. 2427-2436, https://doi.org/10.1021/ac061598h.","productDescription":"10 p.","startPage":"2427","endPage":"2436","numberOfPages":"10","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238635,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211359,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/ac061598h"}],"volume":"79","issue":"6","noUsgsAuthors":false,"publicationDate":"2007-02-13","publicationStatus":"PW","scienceBaseUri":"505a72b2e4b0c8380cd76c47","contributors":{"authors":[{"text":"Casciotti, K.L.","contributorId":57653,"corporation":false,"usgs":true,"family":"Casciotti","given":"K.L.","affiliations":[],"preferred":false,"id":429121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":127841,"corporation":false,"usgs":true,"family":"Bohlke","given":"John","email":"jkbohlke@usgs.gov","middleInitial":"Karl","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":429124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McIlvin, M.R.","contributorId":75754,"corporation":false,"usgs":true,"family":"McIlvin","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":429123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mroczkowski, Stanley J. 0000-0001-8026-6025 smroczko@usgs.gov","orcid":"https://orcid.org/0000-0001-8026-6025","contributorId":2628,"corporation":false,"usgs":true,"family":"Mroczkowski","given":"Stanley","email":"smroczko@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":429122,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannon, Janet E. jehannon@usgs.gov","contributorId":3177,"corporation":false,"usgs":true,"family":"Hannon","given":"Janet","email":"jehannon@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":429120,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70030743,"text":"70030743 - 2007 - A simulation-based approach for estimating premining water quality: Red Mountain Creek, Colorado","interactions":[],"lastModifiedDate":"2018-10-17T11:22:55","indexId":"70030743","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"A simulation-based approach for estimating premining water quality: Red Mountain Creek, Colorado","docAbstract":"Regulatory agencies are often charged with the task of setting site-specific numeric water quality standards for impaired streams. This task is particularly difficult for streams draining highly mineralized watersheds with past mining activity. Baseline water quality data obtained prior to mining are often non-existent and application of generic water quality standards developed for unmineralized watersheds is suspect given the geology of most watersheds affected by mining. Various approaches have been used to estimate premining conditions, but none of the existing approaches rigorously consider the physical and geochemical processes that ultimately determine instream water quality. An approach based on simulation modeling is therefore proposed herein. The approach utilizes synoptic data that provide spatially-detailed profiles of concentration, streamflow, and constituent load along the study reach. This field data set is used to calibrate a reactive stream transport model that considers the suite of physical and geochemical processes that affect constituent concentrations during instream transport. A key input to the model is the quality and quantity of waters entering the study reach. This input is based on chemical analyses available from synoptic sampling and observed increases in streamflow along the study reach. Given the calibrated model, additional simulations are conducted to estimate premining conditions. In these simulations, the chemistry of mining-affected sources is replaced with the chemistry of waters that are thought to be unaffected by mining (proximal, premining analogues). The resultant simulations provide estimates of premining water quality that reflect both the reduced loads that were present prior to mining and the processes that affect these loads as they are transported downstream. This simulation-based approach is demonstrated using data from Red Mountain Creek, Colorado, a small stream draining a heavily-mined watershed. Model application to the premining problem for Red Mountain Creek is based on limited field reconnaissance and chemical analyses; additional field work and analyses may be needed to develop definitive, quantitative estimates of premining water quality.","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2007.03.054","issn":"08832927","usgsCitation":"Runkel, R.L., Kimball, B.A., Walton-Day, K., and Verplanck, P.L., 2007, A simulation-based approach for estimating premining water quality: Red Mountain Creek, Colorado: Applied Geochemistry, v. 22, no. 9, p. 1899-1918, https://doi.org/10.1016/j.apgeochem.2007.03.054.","productDescription":"20 p.","startPage":"1899","endPage":"1918","numberOfPages":"20","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238855,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211552,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2007.03.054"}],"country":"United States","state":"Colorado","otherGeospatial":"Red Mountain Creek","volume":"22","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e598e4b0c8380cd46e66","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":428487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimball, Briant A","contributorId":118888,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":428486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":1245,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":428485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":428488,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179829,"text":"70179829 - 2007 - Striving for collaborative science and communication through the Consortium for Research and Education on Emerging Contaminants (CREEC)","interactions":[],"lastModifiedDate":"2018-10-17T08:19:29","indexId":"70179829","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3720,"text":"Water Resources Impact","printIssn":"1522-3175","active":true,"publicationSubtype":{"id":10}},"title":"Striving for collaborative science and communication through the Consortium for Research and Education on Emerging Contaminants (CREEC)","docAbstract":"<p>Current analytical capabilities are allowing scientists to identify possible contaminants in the environment that were previously unmonitored or were present at concentrations too low for detection. New scientific evidence about the exposure pathways and potential impacts of some of these compounds on human or environmental health is regularly being published (Woodling et al., 2006; Drewes et al., 2005; Kinney et al., 2006; Gibs et al., 2007; Veldhoen et al., 2006). Recent news headlines have declared potential human health and ecological concerns regarding the occurrence of personal care products and pharmaceuticals in our environment. These are products that we regularly use (or create) in our homes, businesses, farms and industry, including plasticizers, flame retardants, detergents, pesticides and herbicides, antibacterial agents, steroids, antibiotics, and disinfection byproducts. These ‘emerging contaminants’ (ECs) are compounds that have recently been shown to occur widely in one or more environmental media, have been identified as being a potential public health or ecological risk, and yet adequate data are lacking to determine their actual risk (Younos, 2005; Soin and Smagghe, 2007; Hutchinson, 2007).</p>","language":"English","publisher":"American Water Resources Association","usgsCitation":"Brown, J., and Battaglin, W.A., 2007, Striving for collaborative science and communication through the Consortium for Research and Education on Emerging Contaminants (CREEC): Water Resources Impact, v. May 2007, p. 22-24.","productDescription":"3 p.","startPage":"22","endPage":"24","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":333388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333387,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.awra.org/impact/"}],"volume":"May 2007","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58808d72e4b01dfadfff155f","contributors":{"authors":[{"text":"Brown, Juliane B.","contributorId":74040,"corporation":false,"usgs":true,"family":"Brown","given":"Juliane B.","affiliations":[],"preferred":false,"id":658857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658858,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70030742,"text":"70030742 - 2007 - Biological effects of anthropogenic contaminants in the San Francisco Estuary","interactions":[],"lastModifiedDate":"2023-07-26T12:16:24.529911","indexId":"70030742","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1561,"text":"Environmental Research","active":true,"publicationSubtype":{"id":10}},"title":"Biological effects of anthropogenic contaminants in the San Francisco Estuary","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"aep-abstract-id16\" class=\"abstract author\"><div id=\"aep-abstract-sec-id17\"><p>Concentrations of many anthropogenic contaminants in the San Francisco Estuary exist at levels that have been associated with biological effects elsewhere, so there is a potential for them to cause biological effects in the Estuary. The purpose of this paper is to summarize information about biological effects on the Estuary's plankton, benthos, fish, birds, and mammals, gathered since the early 1990s, focusing on key accomplishments. These studies have been conducted at all levels of biological organization (sub-cellular through communities), but have included only a small fraction of the organisms and contaminants of concern in the region. The studies summarized provide a body of evidence that some contaminants are causing biological impacts in some biological resources in the Estuary. However, no general patterns of effects were apparent in space and time, and no single contaminant was consistently related to effects among the biota considered. These conclusions reflect the difficulty in demonstrating biological effects due specifically to contamination because there is a wide range of sensitivity to contaminants among the Estuary's many organisms. Additionally, the spatial and temporal distribution of contamination in the Estuary is highly variable, and levels of contamination covary with other environmental factors, such as freshwater inflow or sediment-type. Federal and State regulatory agencies desire to develop biological criteria to protect the Estuary's biological resources. Future studies of biological effects in San Francisco Estuary should focus on the development of meaningful indicators of biological effects, and on key organism and contaminants of concern in long-term, multifaceted studies that include laboratory and field experiments to determine cause and effect to adequately inform management and regulatory decisions.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envres.2006.10.005","issn":"00139351","usgsCitation":"Thompson, B., Adelsbach, T., Brown, C.L., Hunt, J., Kuwabara, J.S., Neale, J., Ohlendorf, H., Schwarzbach, S.E., Spies, R., and Taberski, K., 2007, Biological effects of anthropogenic contaminants in the San Francisco Estuary: Environmental Research, v. 105, no. 1, p. 156-174, https://doi.org/10.1016/j.envres.2006.10.005.","productDescription":"19 p.","startPage":"156","endPage":"174","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":238854,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.47009627367935,\n              38.794240673195986\n            ],\n            [\n              -123.47009627367935,\n              36.956734280455535\n            ],\n            [\n              -120.74665539860484,\n              36.956734280455535\n            ],\n            [\n              -120.74665539860484,\n              38.794240673195986\n            ],\n            [\n              -123.47009627367935,\n              38.794240673195986\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"105","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f168e4b0c8380cd4ac49","contributors":{"authors":[{"text":"Thompson, B.","contributorId":13810,"corporation":false,"usgs":true,"family":"Thompson","given":"B.","affiliations":[],"preferred":false,"id":428475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adelsbach, T.","contributorId":23331,"corporation":false,"usgs":true,"family":"Adelsbach","given":"T.","email":"","affiliations":[],"preferred":false,"id":428480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Cynthia L. clbrown@usgs.gov","contributorId":206,"corporation":false,"usgs":true,"family":"Brown","given":"Cynthia","email":"clbrown@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":428479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, J.","contributorId":18297,"corporation":false,"usgs":true,"family":"Hunt","given":"J.","email":"","affiliations":[],"preferred":false,"id":428478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuwabara, James S. 0000-0003-2502-1601 kuwabara@usgs.gov","orcid":"https://orcid.org/0000-0003-2502-1601","contributorId":3374,"corporation":false,"usgs":true,"family":"Kuwabara","given":"James","email":"kuwabara@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":428477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neale, J.","contributorId":88554,"corporation":false,"usgs":true,"family":"Neale","given":"J.","email":"","affiliations":[],"preferred":false,"id":428483,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ohlendorf, H.","contributorId":16650,"corporation":false,"usgs":true,"family":"Ohlendorf","given":"H.","affiliations":[],"preferred":false,"id":428476,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schwarzbach, Steven E. steven_schwarzbach@usgs.gov","contributorId":1025,"corporation":false,"usgs":true,"family":"Schwarzbach","given":"Steven","email":"steven_schwarzbach@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":428481,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Spies, R.","contributorId":104704,"corporation":false,"usgs":true,"family":"Spies","given":"R.","email":"","affiliations":[],"preferred":false,"id":428484,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taberski, K.","contributorId":80075,"corporation":false,"usgs":true,"family":"Taberski","given":"K.","email":"","affiliations":[],"preferred":false,"id":428482,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":79828,"text":"sir20065323 - 2007 - Hydrology and Flood Profiles of Duck Creek and Jordan Creek Downstream from Egan Drive, Juneau, Alaska","interactions":[],"lastModifiedDate":"2012-02-02T00:14:13","indexId":"sir20065323","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"2006-5323","title":"Hydrology and Flood Profiles of Duck Creek and Jordan Creek Downstream from Egan Drive, Juneau, Alaska","docAbstract":"Hydrologic and hydraulic updates for Duck Creek and the lower part of Jordan Creek in Juneau, Alaska, included computation of new estimates of peak streamflow magnitudes and new water-surface profiles for the 10-, 50-, 100-, and 500-year floods. Computations for the 2-, 5-, 10-, 25-, 50-, 100-, 200-, and 500-year recurrence interval flood magnitudes for both streams used data from U.S. Geological Survey stream-gaging stations weighted with regional regression equations for southeast Alaska. The study area for the hydraulic model consisted of three channels: Duck Creek from Taku Boulevard near the stream's headwaters to Radcliffe Road near the end of the Juneau International Airport runway, an unnamed tributary to Duck Creek from Valley Boulevard to its confluence with Duck Creek, and Jordan Creek from a pedestrian bridge upstream from Egan Drive to Crest Street at Juneau International Airport. Field surveys throughout the study area provided channel geometry for 206 cross sections, and geometric and hydraulic characteristics for 29 culverts and 15 roadway, driveway, or pedestrian bridges. Hydraulic modeling consisted of application of the U.S. Army Corps of Engineers' Hydrologic Engineering Center River Analysis System (HEC-RAS) for steady-state flow at the selected recurrence intervals using an assumed high tide of 20 feet and roughness coefficients refined by calibration to measured water-surface elevations from a 2- to 5-year flood that occurred on November 21, 2005. Model simulation results identify inter-basin flow from Jordan Creek to the southeast at Egan Drive and from Duck Creek to Jordan Creek downstream from Egan Drive at selected recurrence intervals.","language":"English","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20065323","collaboration":"Prepared in cooperation with the City and Borough of Juneau","usgsCitation":"Curran, J.H., 2007, Hydrology and Flood Profiles of Duck Creek and Jordan Creek Downstream from Egan Drive, Juneau, Alaska: U.S. Geological Survey Scientific Investigations Report 2006-5323, vi, 36 p., https://doi.org/10.3133/sir20065323.","productDescription":"vi, 36 p.","startPage":"0","endPage":"0","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":190863,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9524,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5323/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d587","contributors":{"authors":[{"text":"Curran, Janet H. 0000-0002-3899-6275 jcurran@usgs.gov","orcid":"https://orcid.org/0000-0002-3899-6275","contributorId":690,"corporation":false,"usgs":true,"family":"Curran","given":"Janet","email":"jcurran@usgs.gov","middleInitial":"H.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":290945,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80482,"text":"ofr20071282 - 2007 - Simulation of flow and habitat conditions under ice, Cache la Poudre River - January 2006","interactions":[],"lastModifiedDate":"2016-05-27T13:37:32","indexId":"ofr20071282","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"2007-1282","title":"Simulation of flow and habitat conditions under ice, Cache la Poudre River - January 2006","docAbstract":"<p>The U.S. Forest Service authorizes the occupancy and use of Forest Service lands by various projects, including water storage facilities, under the Federal Land Policy and Management Act. Federal Land Policy and Management Act permits can be renewed at the end of their term. The U.S. Forest Service analyzes the environmental effects for the initial issuance or renewal of a permit and the terms and conditions (for example, mitigations plans) contained in the permit for the facilities. The U.S. Forest Service is preparing an environmental impact statement (EIS) to determine the conditions for the occupancy and use for Long Draw Reservoir on National Forest System administered lands. The scope of the EIS includes evaluating current operations and effects to fish habitat of an ongoing winter release of 0.283 m3 /s (10 ft3 /s) from headwater reservoirs as part of a previously issued permit. The field conditions observed during this study included this release.</p>\n<p>The U.S. Forest Service entered into an interagency agreement (05-IA-11021000-030) with the U.S. Geological Survey (USGS) Fort Collins Science Center to perform analysis of fish habitat and flow relationships in the Cache la Poudre River during winter ice-over conditions using a twodimensional hydrodynamic model. The U.S. Forest Service selected the Fort Collins Science Center for this task because of their expertise in developing two-dimensional hydraulic models for habitat modeling applications. This report transmits model results to the U.S. Forest Service to analyze the effects of alternative flow scenarios at a site on the mainstem Cache la Poudre River in Larimer County, Colorado, near Kinikinik (40&deg; 42' 44.16\" N. lat, 105&deg; 44' 30.70\" W. log), as shown in figure 1. It will be used in pending environmental analyses and decisions for the occupancy and use of the Arapaho-Roosevelt National Forest by water storage facilities.</p>\n<p>The water management scenarios of interest in this study are related to releasing water from Chambers and Barnes Meadows Reservoirs, based on the assumption that winter flow augmentation can increase potential fish habitat. Figure 2 shows the relationship between Chambers, Barnes Meadows, and Long Draw Reservoirs. At the time this study was proposed, existing flow simulation results showed that the channel constraints imposed by existing artificial low-head dikes would have little or no effect on the hydrodynamics of the river at the low flow levels that were to be evaluated. The Kinikinik study site contains deep pools, riffles, and runs. This diversity of habitat types made it ideal for assessing the effects of altered flow on fish habitat under ice in the main stem Cache la Poudre River. Thus, the Kinikinik site was selected for this study of winter habitat conditions.</p>\n<p>The preexisting topographic and hydrologic data collected at this site enabled data collection efforts for this study to focus on describing streamflow and ice cover during the winter months. A two-dimensional hydrodynamic model, River2D (Steffler and Blackburn, 2002), was used to simulate flow conditions under the ice cover that was observed January 24, 2006.</p>\n<p>The objectives of this study are (1) to describe the extent and thickness of ice cover, (2) simulate depth and velocity under ice at the study site for observed and reduced flows, and (3) to quantify fish habitat in this portion of the mainstem Cache la Poudre River for the current winter release schedule as well as for similar conditions without the 0.283 m<sup>3</sup>/s winter release.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071282","usgsCitation":"Waddle, T., 2007, Simulation of flow and habitat conditions under ice, Cache la Poudre River - January 2006: U.S. Geological Survey Open-File Report 2007-1282, v, 37 p., https://doi.org/10.3133/ofr20071282.","productDescription":"v, 37 p.","numberOfPages":"42","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":195516,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20071282.PNG"},{"id":320217,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1282/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Colorado","otherGeospatial":"Cache la Poudre River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.90202331542969,\n              40.52267294048898\n            ],\n            [\n              -105.90202331542969,\n              40.71863980562837\n            ],\n            [\n              -105.42411804199219,\n              40.71863980562837\n            ],\n            [\n              -105.42411804199219,\n              40.52267294048898\n            ],\n            [\n              -105.90202331542969,\n              40.52267294048898\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f2f39","contributors":{"authors":[{"text":"Waddle, Terry","contributorId":47848,"corporation":false,"usgs":true,"family":"Waddle","given":"Terry","affiliations":[],"preferred":false,"id":292704,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70171439,"text":"70171439 - 2007 - Occurrence of pesticides in water, sediment, and soil from the Yolo Bypass, California","interactions":[],"lastModifiedDate":"2021-06-10T16:56:44.182741","indexId":"70171439","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of pesticides in water, sediment, and soil from the Yolo Bypass, California","docAbstract":"<p>The objective of this study was to evaluate the potential sources of pesticides to the Yolo Bypass, including those that could potentially impact critical life stages of resident fish. To assess direct inputs during inundation, pesticide concentrations were analyzed in water and suspended and bed sediment samples collected from source watersheds during high-flow events. To understand inputs from direct application on fields, pesticides were also measured in soils collected from several sites within the Bypass. Thirteen current-use pesticides were detected in water samples collected in 2004 with the highest pesticide concentrations observed at the input sites to the Bypass during high-flow. Hexazinone and simazine were detected at all sites and at some of the highest concentrations. In bed and suspended sediments collected in 2004 and 2005, thirteen current-use pesticides were detected along with DDT and its metabolites. Trifluralin, DDE, and DDT were highest in the bed sediments, whereas oxyfluorfen and thiobencarb were highest in the suspended sediments. With the exception of the three organochlorine insecticides, suspended sediments had higher pesticide concentrations compared to bed sediments, indicating the potential for pesticide transport especially during high-flow events. Soil samples were dominated by DDT and its degradates but also contained a variety of current-use pesticides typically at lower concentrations. The types of pesticides detected in water and sediments were correlated with agricultural application in each watershed.</p><p>Understanding the distribution of pesticides between the water and sediment is important in assessing their fate and transport within the Bypass, and in evaluating the exposure and potential effects to resident fish.</p>","language":"English","publisher":"eScholarship University of California","doi":"10.15447/sfews.2007v5iss1art2","usgsCitation":"Smalling, K., Orlando, J.L., and Kuivila, K., 2007, Occurrence of pesticides in water, sediment, and soil from the Yolo Bypass, California: San Francisco Estuary and Watershed Science, v. 5, no. 1, 17 p., https://doi.org/10.15447/sfews.2007v5iss1art2.","productDescription":"17 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":477199,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2007v5iss1art2","text":"Publisher Index Page"},{"id":321927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yolo Bypass","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.69692993164062,\n              38.23494411562881\n            ],\n            [\n              -121.54586791992188,\n              38.23494411562881\n            ],\n            [\n              -121.54586791992188,\n              38.78941577989049\n            ],\n            [\n              -121.69692993164062,\n              38.78941577989049\n            ],\n            [\n              -121.69692993164062,\n              38.23494411562881\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2007-02-22","publicationStatus":"PW","scienceBaseUri":"574eb5d9e4b0ee97d51a83e1","contributors":{"authors":[{"text":"Smalling, Kelly L. ksmall@usgs.gov","contributorId":1370,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","email":"ksmall@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":630985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orlando, James L. 0000-0002-0099-7221 jorlando@usgs.gov","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":1368,"corporation":false,"usgs":true,"family":"Orlando","given":"James","email":"jorlando@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":630986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":630987,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182816,"text":"70182816 - 2007 - Contaminated salmon and the public's trust","interactions":[],"lastModifiedDate":"2018-10-17T12:54:37","indexId":"70182816","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Contaminated salmon and the public's trust","docAbstract":"<p>Scientific uncertainties often make it difficult for environmental policy makers to determine how to communicate risks to the public. A constructive, holistic, multisectoral dialogue about an issue can improve understanding of uncertainties from different perspectives and clarify options for risk communication. Many environmental issues could benefit from explicit promotion of such a dialogue. When issues are complex, unconstructive advocacy, narrow focus, and exclusion of selected parties from decision making can erode public trust in science and lead to cynicism about the policies of government and the private sector.</p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es072497j","usgsCitation":"Luoma, S.N., and Lofstedt, R.E., 2007, Contaminated salmon and the public's trust: Environmental Science & Technology, v. 41, no. 6, p. 1811-1814, https://doi.org/10.1021/es072497j.","productDescription":"4 p. ","startPage":"1811","endPage":"1814","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":336363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"6","noUsgsAuthors":false,"publicationDate":"2007-03-15","publicationStatus":"PW","scienceBaseUri":"58b69a42e4b01ccd54ff3fb2","contributors":{"authors":[{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":673873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lofstedt, Ragnar E.","contributorId":184251,"corporation":false,"usgs":false,"family":"Lofstedt","given":"Ragnar","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":673874,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182814,"text":"70182814 - 2007 - Effects of sorbate speciation on sorption of selected sulfonamides in three loamy soils","interactions":[],"lastModifiedDate":"2018-10-17T13:22:57","indexId":"70182814","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2149,"text":"Journal of Agricultural and Food Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Effects of sorbate speciation on sorption of selected sulfonamides in three loamy soils","docAbstract":"<p><span>Sorption of sulfamethazine (SMN) and sulfathiazole (STZ) was investigated in three soils, a North Carolina loamy sand, an Iowa sandy loam, and a Missouri loam, under various pH conditions. A significant increase in the sorption coefficient (</span><i>K</i><sub>D</sub><span>) was observed in all three soils, as the sulfonamides converted from an anionic form at higher pH to a neutral/cationic form at lower pH. Above pH 7.5, sulfonamides exist primarily in anionic form and have higher aqueous solubility and no cationic character, thereby consequently leading to lower sorption to soils. The effect of speciation on sorption is not the same for all sulfonamides; it is a function of the pH of the soil and the p</span><i>K</i><sub>a</sub><span> of the sulfonamides. The results indicate that, for the soils under investigation, SMN has comparatively lower </span><i>K</i><sub>D</sub><span> values than STZ. The pH-dependent sorption of sulfonamides was observed to be consistent in all three soils investigated. The </span><i>K</i><sub>D</sub><span> values for each speciated form</span><img class=\"privateChar\" src=\"http://pubs.acs.org/entityImage/legacy/sbd.gif\" alt=\"\" data-mce-src=\"http://pubs.acs.org/entityImage/legacy/sbd.gif\"><span>cationic, neutral, and anionic</span><img class=\"privateChar\" src=\"http://pubs.acs.org/entityImage/legacy/sbd.gif\" alt=\"\" data-mce-src=\"http://pubs.acs.org/entityImage/legacy/sbd.gif\"><span>were calculated using an empirical model in which the species-specific sorption coefficients (</span><i>K</i><sub>D0</sub><span>, </span><i>K</i><sub>D1</sub><span>, and </span><i>K</i><sub>D2</sub><span>) were weighted with their respective fractions present at any given pH.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/jf060612o","usgsCitation":"Kurwadkar, S.T., Adams, C.D., Meyer, M.T., and Kolpin, D.W., 2007, Effects of sorbate speciation on sorption of selected sulfonamides in three loamy soils: Journal of Agricultural and Food Chemistry, v. 55, no. 4, p. 1370-1376, https://doi.org/10.1021/jf060612o.","productDescription":"7 p. ","startPage":"1370","endPage":"1376","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":336362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"55","issue":"4","noUsgsAuthors":false,"publicationDate":"2007-01-20","publicationStatus":"PW","scienceBaseUri":"58b69a42e4b01ccd54ff3fb4","contributors":{"authors":[{"text":"Kurwadkar, Sudarshan T.","contributorId":184250,"corporation":false,"usgs":false,"family":"Kurwadkar","given":"Sudarshan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":673869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Craig D.","contributorId":33586,"corporation":false,"usgs":true,"family":"Adams","given":"Craig","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":673870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":673871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":673872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175193,"text":"70175193 - 2007 - Effects of flow diversions on water and habitat quality: Examples from California's highly manipulated Sacramento–San Joaquin Delta","interactions":[],"lastModifiedDate":"2021-06-10T16:35:58.515465","indexId":"70175193","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Effects of flow diversions on water and habitat quality: Examples from California's highly manipulated Sacramento–San Joaquin Delta","docAbstract":"<p>We use selected monitoring data to illustrate how localized water diversions from seasonal barriers, gate operations, and export pumps alter water quality across the Sacramento-San Joaquin Delta (California). Dynamics of water-quality variability are complex because the Delta is a mixing zone of water from the Sacramento and San Joaquin Rivers, agricultural return water, and the San Francisco Estuary. Each source has distinct water-quality characteristics, and the contribution of each source varies in response to natural hydrologic variability and water diversions. We use simulations with a tidal hydrodynamic model to reveal how three diversion events, as case studies, influence water quality through their alteration of Delta-wide water circulation patterns and flushing time. Reduction of export pumping decreases the proportion of Sacramento- to San Joaquin-derived fresh water in the central Delta, leading to rapid increases in salinity. Delta Cross Channel gate operations control salinity in the western Delta and alter the freshwater source distribution in the central Delta. Removal of the head of Old River barrier, in autumn, increases the flushing time of the Stockton Ship Channel from days to weeks, contributing to a depletion of dissolved oxygen. Each shift in water quality has implications either for habitat quality or municipal drinking water, illustrating the importance of a systems view to anticipate the suite of changes induced by flow manipulations, and to minimize the conflicts inherent in allocations of scarce resources to meet multiple objectives.</p>","language":"English","publisher":"eScholoarship University of California","doi":"10.15447/sfews.2007v5iss5art2","usgsCitation":"Monsen, N.E., Cloern, J.E., and Burau, J.R., 2007, Effects of flow diversions on water and habitat quality: Examples from California's highly manipulated Sacramento–San Joaquin Delta: San Francisco Estuary and Watershed Science, v. 5, no. 3, 16 p., https://doi.org/10.15447/sfews.2007v5iss5art2.","productDescription":"16 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":477196,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2007v5iss5art2","text":"Publisher Index Page"},{"id":325927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.310791015625,\n              37.483576550426996\n            ],\n            [\n              -121.14624023437499,\n              37.483576550426996\n            ],\n            [\n              -121.14624023437499,\n              38.44498466889473\n            ],\n            [\n              -122.310791015625,\n              38.44498466889473\n            ],\n            [\n              -122.310791015625,\n              37.483576550426996\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"3","noUsgsAuthors":false,"publicationDate":"2007-10-22","publicationStatus":"PW","scienceBaseUri":"57a1c42fe4b006cb45552c0c","contributors":{"authors":[{"text":"Monsen, Nancy E.","contributorId":173324,"corporation":false,"usgs":false,"family":"Monsen","given":"Nancy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":644287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":644288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burau, Jon R. 0000-0002-5196-5035 jrburau@usgs.gov","orcid":"https://orcid.org/0000-0002-5196-5035","contributorId":1500,"corporation":false,"usgs":true,"family":"Burau","given":"Jon","email":"jrburau@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":644289,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}