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Assessing hydrologic condition requires that we quantify the attributes of the flow regime that would be expected in the absence of anthropogenic modifications. The objective of this study was to evaluate whether selected streamflow characteristics could be predicted at regional and national scales using geospatial data. Long-term, gaged river basins distributed throughout the contiguous US that had streamflow characteristics representing least disturbed or near pristine conditions were identified. Thirteen metrics of the magnitude, frequency, duration, timing and rate of change of streamflow were calculated using a 20-50 year period of record for each site. We used random forests (RF), a robust statistical modelling approach, to develop models that predicted the value for each streamflow metric using natural watershed characteristics. We compared the performance (i.e. bias and precision) of national- and regional-scale predictive models to that of models based on landscape classifications, including major river basins, ecoregions and hydrologic landscape regions (HLR). For all hydrologic metrics, landscape stratification models produced estimates that were less biased and more precise than a null model that accounted for no natural variability. Predictive models at the national and regional scale performed equally well, and substantially improved predictions of all hydrologic metrics relative to landscape stratification models. Prediction error rates ranged from 15 to 40%, but were 25% for most metrics. We selected three gaged, non-reference sites to illustrate how predictive models could be used to assess hydrologic condition. These examples show how the models accurately estimate predisturbance conditions and are sensitive to changes in streamflow variability associated with long-term land-use change. We also demonstrate how the models can be applied to predict expected natural flow characteristics at ungaged sites. ?? 2009 John Wiley & Sons, Ltd.","language":"English","publisher":"Wiley","doi":"10.1002/rra.1247","issn":"15351459","usgsCitation":"Carlisle, D., Falcone, J., Wolock, D., Meador, M.R., and Norris, R., 2009, Predicting the natural flow regime: Models for assessing hydrological alteration in streams: River Research and Applications, v. 26, no. 2, p. 118-136, https://doi.org/10.1002/rra.1247.","productDescription":"19 p.","startPage":"118","endPage":"136","ipdsId":"IP-004184","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":244636,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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States\"}}]}","volume":"26","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-03-03","publicationStatus":"PW","scienceBaseUri":"505a81d1e4b0c8380cd7b753","contributors":{"authors":[{"text":"Carlisle, D.M.","contributorId":81059,"corporation":false,"usgs":true,"family":"Carlisle","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":443723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falcone, J.","contributorId":20548,"corporation":false,"usgs":true,"family":"Falcone","given":"J.","email":"","affiliations":[],"preferred":false,"id":443719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolock, D.M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":36601,"corporation":false,"usgs":true,"family":"Wolock","given":"D.M.","affiliations":[],"preferred":false,"id":443721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meador, M. R.","contributorId":74400,"corporation":false,"usgs":true,"family":"Meador","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":443722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Norris, R.H.","contributorId":32016,"corporation":false,"usgs":true,"family":"Norris","given":"R.H.","email":"","affiliations":[],"preferred":false,"id":443720,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042758,"text":"70042758 - 2009 - Transport of tritium contamination to the atmosphere in an arid environment","interactions":[],"lastModifiedDate":"2018-10-03T10:15:42","indexId":"70042758","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Transport of tritium contamination to the atmosphere in an arid environment","docAbstract":"<p>Soil–plant–atmosphere interactions strongly influence water movement in desert unsaturated zones, but little is known about how such interactions affect atmospheric release of subsurface water-borne contaminants. This 2-yr study, performed at the U.S. Geological Survey's Amargosa Desert Research Site in southern Nevada, quantified the magnitude and spatiotemporal variability of tritium (3H) transport from the shallow unsaturated zone to the atmosphere adjacent to a low-level radioactive waste (LLRW) facility. Tritium fluxes were calculated as the product of 3H concentrations in water vapor and respective evaporation and transpiration water-vapor fluxes. Quarterly measured 3H concentrations in soil water vapor and in leaf water of the dominant creosote-bush [<i>Larrea tridentat</i>a (DC.) Coville] were spatially extrapolated and temporally interpolated to develop daily maps of contamination across the 0.76-km2 study area. Maximum plant and root-zone soil concentrations (4200 and 8700 Bq L−1, respectively) were measured 25 m from the LLRW facility boundary. Continuous evaporation was estimated using a Priestley–Taylor model and transpiration was computed as the difference between measured eddy-covariance evapotranspiration and estimated evaporation. The mean evaporation/transpiration ratio was 3:1. Tritium released from the study area ranged from 0.12 to 12 μg d−1 and totaled 1.5 mg (8.2 × 1010 Bq) over 2 yr. Tritium flux variability was driven spatially by proximity to 3H source areas and temporally by changes in 3H concentrations and in the partitioning between evaporation and transpiration. Evapotranspiration removed and limited penetration of precipitation beneath native vegetation and fostered upward movement and release of 3H from below the root zone.</p>","language":"English","publisher":"Soil Science Society of America","doi":"10.2136/vzj2008.0022","usgsCitation":"Garcia, C.A., Andraski, B.J., Johnson, M.J., Stonestrom, D.A., Michel, R.L., Cooper, C., and Wheatcraft, S., 2009, Transport of tritium contamination to the atmosphere in an arid environment: Vadose Zone Journal, v. 8, no. 2, p. 450-461, https://doi.org/10.2136/vzj2008.0022.","productDescription":"12 p.","startPage":"450","endPage":"461","ipdsId":"IP-004355","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":270866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"8","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd798ae4b0b2908510ce60","contributors":{"authors":[{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":false,"id":472176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Michael J. johnsonm@usgs.gov","contributorId":2282,"corporation":false,"usgs":true,"family":"Johnson","given":"Michael","email":"johnsonm@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":472180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":472179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michel, Robert L. rlmichel@usgs.gov","contributorId":823,"corporation":false,"usgs":true,"family":"Michel","given":"Robert","email":"rlmichel@usgs.gov","middleInitial":"L.","affiliations":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"preferred":true,"id":472177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cooper, C.A.","contributorId":67316,"corporation":false,"usgs":true,"family":"Cooper","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":472182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wheatcraft, S.W.","contributorId":15427,"corporation":false,"usgs":true,"family":"Wheatcraft","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":472181,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70042388,"text":"70042388 - 2009 - Multi-scale measurements and modeling of denitrification in streams with varying flow and nitrate concentration in the upper Mississippi River basin, USA","interactions":[],"lastModifiedDate":"2018-10-05T09:50:25","indexId":"70042388","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale measurements and modeling of denitrification in streams with varying flow and nitrate concentration in the upper Mississippi River basin, USA","docAbstract":"<p><span>Denitrification is an important net sink for NO</span><sub>3</sub><sup>−</sup><span> in streams, but direct measurements are limited and in situ controlling factors are not well known. We measured denitrification at multiple scales over a range of flow conditions and NO</span><sub>3</sub><sup>−</sup><span> concentrations in streams draining agricultural land in the upper Mississippi River basin. Comparisons of reach-scale measurements (in-stream mass transport and tracer tests) with local-scale in situ measurements (pore-water profiles, benthic chambers) and laboratory data (sediment core microcosms) gave evidence for heterogeneity in factors affecting benthic denitrification both temporally (e.g., seasonal variation in NO</span><sub>3</sub><sup>−</sup><span> concentrations and loads, flood-related disruption and re-growth of benthic communities and organic deposits) and spatially (e.g., local stream morphology and sediment characteristics). When expressed as vertical denitrification flux per unit area of streambed (</span><i class=\"EmphasisTypeItalic \">U</i><sub>denit</sub><span>, in μmol&nbsp;N&nbsp;m</span><sup>−2</sup><span>&nbsp;h</span><sup>−1</sup><span>), results of different methods for a given set of conditions commonly were in agreement within a factor of 2–3. At approximately constant temperature (~20&nbsp;±&nbsp;4°C) and with minimal benthic disturbance, our aggregated data indicated an overall positive relation between </span><i class=\"EmphasisTypeItalic \">U</i><sub>denit</sub><span> (~0–4,000&nbsp;μmol&nbsp;N&nbsp;m</span><sup>−2</sup><span>&nbsp;h</span><sup>−1</sup><span>) and stream NO</span><sub>3</sub><sup>−</sup><span>concentration (~20–1,100&nbsp;μmol&nbsp;L</span><sup>−1</sup><span>) representing seasonal variation from spring high flow (high NO</span><sub>3</sub><sup>−</sup><span>) to late summer low flow (low NO</span><sub>3</sub><sup>−</sup><span>). The temporal dependence of </span><i class=\"EmphasisTypeItalic \">U</i><sub>denit</sub><span> on NO</span><sub>3</sub><sup>−</sup><span>was less than first-order and could be described about equally well with power-law or saturation equations (e.g., for the unweighted dataset, </span><i class=\"EmphasisTypeItalic \">U</i><sub>denit</sub><span>&nbsp;≈26&nbsp;*&nbsp;[NO</span><sub>3</sub><sup>−</sup><span>]</span><sup>0.44</sup><span> or </span><i class=\"EmphasisTypeItalic \">U</i><sub>denit</sub><span>≈640&nbsp;*&nbsp;[NO</span><sub>3</sub><sup>−</sup><span>]/[180&nbsp;+&nbsp;NO</span><sub>3</sub><sup>−</sup><span>]; for a partially weighted dataset, </span><i class=\"EmphasisTypeItalic \">U</i><sub>denit</sub><span>&nbsp;≈14&nbsp;*&nbsp;[NO</span><sub>3</sub><sup>−</sup><span>]</span><sup>0.54</sup><span> or </span><i class=\"EmphasisTypeItalic \">U</i><sub>denit</sub><span>&nbsp;≈700&nbsp;*&nbsp;[NO</span><sub>3</sub><sup>−</sup><span>]/[320&nbsp;+&nbsp;NO</span><sub>3</sub><sup>−</sup><span>]). Similar parameters were derived from a recent spatial comparison of stream denitrification extending to lower NO</span><sub>3</sub><sup>−</sup><span> concentrations (LINX2), and from the combined dataset from both studies over 3 orders of magnitude in NO</span><sub>3</sub><sup>−</sup><span>concentration. Hypothetical models based on our results illustrate: (1) </span><i class=\"EmphasisTypeItalic \">U</i><sub>denit</sub><span> was inversely related to denitrification rate constant (</span><i class=\"EmphasisTypeItalic \">k</i><span>1</span><sub>denit</sub><span>, in day</span><sup>−1</sup><span>) and vertical transfer velocity (</span><i class=\"EmphasisTypeItalic \">v</i><sub>f,denit</sub><span>, in m day</span><sup>−1</sup><span>) at seasonal and possibly event time scales; (2) although </span><i class=\"EmphasisTypeItalic \">k</i><span>1</span><sub>denit</sub><span> was relatively large at low flow (low NO</span><sub>3</sub><sup>−</sup><span>), its impact on annual loads was relatively small because higher concentrations and loads at high flow were not fully compensated by increases in </span><i class=\"EmphasisTypeItalic \">U</i><sub>denit</sub><span>; and (3) although NO</span><sub>3</sub><sup>−</sup><span> assimilation and denitrification were linked through production of organic reactants, rates of NO</span><sub>3</sub><sup>−</sup><span> loss by these processes may have been partially decoupled by changes in flow and sediment transport. Whereas </span><i class=\"EmphasisTypeItalic \">k</i><span>1</span><sub>denit</sub><span> and </span><i class=\"EmphasisTypeItalic \">v</i><sub>f,denit</sub><span> are linked implicitly with stream depth, NO</span><sub>3</sub><sup>−</sup><span> concentration, and(or) NO</span><sub>3</sub><sup>−</sup><span> load, estimates of </span><i class=\"EmphasisTypeItalic \">U</i><sub>denit</sub><span> may be related more directly to field factors (including NO</span><sub>3</sub><sup>−</sup><span> concentration) affecting denitrification rates in benthic sediments. Regional regressions and simulations of benthic denitrification in stream networks might be improved by including a non-linear relation between </span><i class=\"EmphasisTypeItalic \">U</i><sub>denit</sub><span> and stream NO</span><sub>3</sub><sup>−</sup><span>concentration and accounting for temporal variation.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-008-9282-8","usgsCitation":"Bohlke, J., Antweiler, R.C., Harvey, J.W., Laursen, A.E., Smith, L.K., Smith, R.L., and Voytek, M.A., 2009, Multi-scale measurements and modeling of denitrification in streams with varying flow and nitrate concentration in the upper Mississippi River basin, USA: Biogeochemistry, v. 93, no. 1, p. 117-141, https://doi.org/10.1007/s10533-008-9282-8.","productDescription":"24 p.","startPage":"117","endPage":"141","ipdsId":"IP-008428","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":476016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-008-9282-8","text":"Publisher Index Page"},{"id":270742,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10533-008-9282-8"},{"id":270743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-01-13","publicationStatus":"PW","scienceBaseUri":"5165386ce4b077fa94dadfc3","contributors":{"authors":[{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":471448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":471444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":471446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laursen, Andrew E.","contributorId":99783,"corporation":false,"usgs":true,"family":"Laursen","given":"Andrew","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":471450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Lesley K.","contributorId":82657,"corporation":false,"usgs":true,"family":"Smith","given":"Lesley","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":471447,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","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},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":471445,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471449,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70043343,"text":"70043343 - 2009 - Fractionation of stable isotopes in perchlorate and nitrate during in situ biodegradation in a sandy aquifer","interactions":[],"lastModifiedDate":"2018-10-12T08:24:54","indexId":"70043343","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1529,"text":"Environmental Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Fractionation of stable isotopes in perchlorate and nitrate during in situ biodegradation in a sandy aquifer","docAbstract":"An in situ experiment was performed in a shallow alluvial aquifer in Maryland to quantify the fractionation of stable isotopes in perchlorate (Cl and O) and nitrate (N and O) during biodegradation. An emulsified soybean oil substrate that was previously injected into this aquifer provided the electron donor necessary for biological perchlorate reduction and denitrification. During the field experiment, groundwater extracted from an upgradient well was pumped into an injection well located within the in situ oil barrier, and then groundwater samples were withdrawn for the next 30 h. After correction for dilution (using Br– as a conservative tracer of the injectate), perchlorate concentrations decreased by 78% and nitrate concentrations decreased by 82% during the initial 8.6 h after the injection. The observed ratio of fractionation effects of O and Cl isotopes in perchlorate (e18O/e37Cl) was 2.6, which is similar to that observed in the laboratory using pure cultures (2.5). Denitrification by indigenous bacteria fractionated O and N isotopes in nitrate at a ratio of ~0.8 (e18O/e15N), which is within the range of values reported previously for denitrification. However, the magnitudes of the individual apparent in situ isotope fractionation effects for perchlorate and nitrate were appreciably smaller than those reported in homogeneous closed systems (0.2 to 0.6 times), even after adjustment for dilution. These results indicate that (1) isotope fractionation factor ratios (e18O/e37Cl, e18O/e15N) derived from homogeneous laboratory systems (e.g. pure culture studies) can be used qualitatively to confirm the occurrence of in situ biodegradation of both perchlorate and nitrate, but (2) the magnitudes of the individual apparent e values cannot be used quantitatively to estimate the in situ extent of biodegradation of either anion.","language":"English","publisher":"CSIRO","doi":"10.1071/EN09008","usgsCitation":"Hatzinger, P., Bohlke, J., Sturchio, N., Gu, B., Heraty, L., and Borden, R., 2009, Fractionation of stable isotopes in perchlorate and nitrate during in situ biodegradation in a sandy aquifer: Environmental Chemistry, v. 6, no. 1, p. 44-52, https://doi.org/10.1071/EN09008.","productDescription":"14 p.","startPage":"44","endPage":"52","ipdsId":"IP-011369","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":269008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"6","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5a41e4b0b290850f93b5","contributors":{"authors":[{"text":"Hatzinger, P.B.","contributorId":12663,"corporation":false,"usgs":true,"family":"Hatzinger","given":"P.B.","affiliations":[],"preferred":false,"id":473443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, John Karl 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":84641,"corporation":false,"usgs":true,"family":"Bohlke","given":"John Karl","affiliations":[],"preferred":false,"id":473446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sturchio, N.C.","contributorId":16580,"corporation":false,"usgs":true,"family":"Sturchio","given":"N.C.","affiliations":[],"preferred":false,"id":473444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gu, B.","contributorId":8670,"corporation":false,"usgs":true,"family":"Gu","given":"B.","email":"","affiliations":[],"preferred":false,"id":473442,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heraty, L.J.","contributorId":7090,"corporation":false,"usgs":true,"family":"Heraty","given":"L.J.","affiliations":[],"preferred":false,"id":473441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Borden, R.C.","contributorId":61260,"corporation":false,"usgs":true,"family":"Borden","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":473445,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044313,"text":"70044313 - 2009 - Geochemistry of inorganic nitrogen in waters released from coal-bed natural gas production wells in the Powder River Basin, Wyoming","interactions":[],"lastModifiedDate":"2018-10-12T10:12:29","indexId":"70044313","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2009","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":"Geochemistry of inorganic nitrogen in waters released from coal-bed natural gas production wells in the Powder River Basin, Wyoming","docAbstract":"<p><span>Water originating from coal-bed natural gas (CBNG) production wells typically contains ammonium and is often disposed via discharge to ephemeral channels. A study conducted in the Powder River Basin, Wyoming, documented downstream changes in CBNG water composition, emphasizing nitrogen-cycling processes and the fate of ammonium. Dissolved ammonium concentrations from 19 CBNG discharge points ranged from 95 to 527 μM. Within specific channels, ammonium concentrations decreased with transport distance, with subsequent increases in nitrite and nitrate concentrations. Removal efficiency, or uptake, of total dissolved inorganic nitrogen (DIN) varied between channel types. DIN uptake was greater in the gentle-sloped, vegetated channel as compared to the incised, steep, and sparsely vegetated channel and was highly correlated with diel patterns of incident light and dissolved oxygen concentration. In a larger main channel with multiple discharge inputs (</span><i>n</i><span><span>&nbsp;</span>= 13), DIN concentrations were &gt;300 μM, with pH &gt; 8.5, after 5 km of transport. Ammonium represented 25−30% of the large-channel DIN, and ammonium concentrations remained relatively constant with time, with only a weak diel pattern evident. In July 2003, the average daily large-channel DIN load was 23 kg N day</span><sup>−1</sup><span>entering the Powder River, an amount which substantially increased the total Powder River DIN load after the channel confluence. These results suggest that CBNG discharge may be an important source of DIN to western watersheds, at least at certain times of the year, and that net oxidation and/or removal is dependent upon the extent of contact with sediment and biomass, type of drainage channel, and time of day.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/es802478p","usgsCitation":"Smith, R.L., Repert, D.A., and Hart, C.P., 2009, Geochemistry of inorganic nitrogen in waters released from coal-bed natural gas production wells in the Powder River Basin, Wyoming: Environmental Science & Technology, v. 43, no. 7, p. 2348-2354, https://doi.org/10.1021/es802478p.","productDescription":"7 p.","startPage":"2348","endPage":"2354","ipdsId":"IP-007473","costCenters":[{"id":435,"text":"National Research Program - Central Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":269018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Powder River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.1472,\n              44.1506\n            ],\n            [\n              -106.094,\n              44.1506\n            ],\n            [\n              -106.094,\n              44.1193\n            ],\n            [\n              -106.1472,\n              44.1193\n            ],\n            [\n              -106.1472,\n              44.1506\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"7","noUsgsAuthors":false,"publicationDate":"2009-03-02","publicationStatus":"PW","scienceBaseUri":"53cd5afce4b0b290850f9b91","contributors":{"authors":[{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":475286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","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":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":475287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Charles P. cphart@usgs.gov","contributorId":2603,"corporation":false,"usgs":true,"family":"Hart","given":"Charles","email":"cphart@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":475288,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043324,"text":"70043324 - 2009 - A simple technique for continuous measurement of time-variable gas transfer in surface waters","interactions":[],"lastModifiedDate":"2018-10-03T10:36:42","indexId":"70043324","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2622,"text":"Limnology and Oceanography: Methods","active":true,"publicationSubtype":{"id":10}},"title":"A simple technique for continuous measurement of time-variable gas transfer in surface waters","docAbstract":"Mass balance models of dissolved gases in streams, lakes, and rivers serve as the basis for estimating wholeecosystem rates for various biogeochemical processes. Rates of gas exchange between water and the atmosphere are important and error-prone components of these models. Here we present a simple and efficient modification of the SF6 gas tracer approach that can be used concurrently while collecting other dissolved gas samples for dissolved gas mass balance studies in streams. It consists of continuously metering SF6-saturated water directly into the stream at a low rate of flow. This approach has advantages over pulse injection of aqueous solutions or bubbling large amounts of SF6 into the stream. By adding the SF6 as a saturated solution, we minimize the possibility that other dissolved gas measurements are affected by sparging and/or bubble injecta. Because the SF6 is added continuously we have a record of changing gas transfer velocity (GTV) that is contemporaneous with the sampling of other nonconservative ambient dissolved gases. Over a single diel period, a 30% variation in GTV was observed in a second-order stream (Sugar Creek, Indiana, USA). The changing GTV could be attributed in part to changes in temperature and windspeed that occurred on hourly to diel timescales.","language":"English","publisher":"ASLO","doi":"10.4319/lom.2009.7.185","usgsCitation":"Tobias, C., Bohlke, J., Harvey, J.W., and Busenberg, E., 2009, A simple technique for continuous measurement of time-variable gas transfer in surface waters: Limnology and Oceanography: Methods, v. 7, p. 185-195, https://doi.org/10.4319/lom.2009.7.185.","productDescription":"11 p.","startPage":"185","endPage":"195","ipdsId":"IP-004332","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":270737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"7","noUsgsAuthors":false,"publicationDate":"2009-02-12","publicationStatus":"PW","scienceBaseUri":"51653860e4b077fa94dadf5b","contributors":{"authors":[{"text":"Tobias, Craig R.","contributorId":23410,"corporation":false,"usgs":false,"family":"Tobias","given":"Craig R.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":473392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, John Karl 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":84641,"corporation":false,"usgs":true,"family":"Bohlke","given":"John Karl","affiliations":[],"preferred":false,"id":473393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":473390,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Busenberg, Eurybiades ebusenbe@usgs.gov","contributorId":2271,"corporation":false,"usgs":true,"family":"Busenberg","given":"Eurybiades","email":"ebusenbe@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":473391,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190244,"text":"70190244 - 2009 - Contaminants of emerging concern: Introduction to a featured collection","interactions":[],"lastModifiedDate":"2018-10-15T07:36:38","indexId":"70190244","displayToPublicDate":"2009-12-31T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Contaminants of emerging concern: Introduction to a featured collection","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2008.00299.x","usgsCitation":"Battaglin, W.A., and Kolpin, D.W., 2009, Contaminants of emerging concern: Introduction to a featured collection: Journal of the American Water Resources Association, v. 45, no. 1, p. 1-3, https://doi.org/10.1111/j.1752-1688.2008.00299.x.","productDescription":"3 p.","startPage":"1","endPage":"3","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":476035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2008.00299.x","text":"Publisher Index Page"},{"id":344986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-01-27","publicationStatus":"PW","scienceBaseUri":"599bf125e4b0b589267ed349","contributors":{"authors":[{"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":708127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":708128,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194260,"text":"70194260 - 2009 - Hydrodynamic control of phytoplankton loss to the benthos in an estuarine environment","interactions":[],"lastModifiedDate":"2018-10-12T08:05:14","indexId":"70194260","displayToPublicDate":"2009-12-31T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Hydrodynamic control of phytoplankton loss to the benthos in an estuarine environment","docAbstract":"<p>Field experiments were undertaken to measure the influence of hydrodynamics on the removal of phytoplankton by benthic grazers in Suisun Slough, North San Francisco Bay. Chlorophyll a concentration boundary layers were found over beds inhabited by the active suspension feeders Corbula amurensis and Corophium alienense and the passive suspension feeders Marenzellaria viridis and Laonome sp. Benthic losses of phytoplankton were estimated via both the control volume and the vertical flux approach, in which chlorophyll a concentration was used as a proxy for phytoplankton biomass. The rate of phytoplankton loss to the bed was positively correlated to the bed shear stress. The maximum rate of phytoplankton loss to the bed was five times larger than estimated by laboratory-derived pumping rates for the active suspension feeders. Reasons for this discrepancy are explored including a physical mechanism whereby phytoplankton is entrained in a near-bed fluff layer where aggregation is mediated by the presence of mucus produced by the infaunal community.</p>","language":"English","publisher":"American Society of Limnology and Oceanography","doi":"10.4319/lo.2009.54.3.0952","usgsCitation":"Jones, N.L., Thompson, J.K., Arrigo, K.R., and Monismith, S.G., 2009, Hydrodynamic control of phytoplankton loss to the benthos in an estuarine environment: Limnology and Oceanography, v. 54, no. 3, p. 952-969, https://doi.org/10.4319/lo.2009.54.3.0952.","productDescription":"18 p.","startPage":"952","endPage":"969","ipdsId":"IP-002563","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"links":[{"id":476033,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4319/lo.2009.54.3.0952","text":"Publisher Index Page"},{"id":349449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Suisun Slough, North San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.9315185546875,\n              37.322120359451766\n            ],\n            [\n              -121.827392578125,\n              37.322120359451766\n            ],\n            [\n              -121.827392578125,\n              38.324420427006544\n            ],\n            [\n              -122.9315185546875,\n              38.324420427006544\n            ],\n            [\n              -122.9315185546875,\n              37.322120359451766\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"54","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2009-05-12","publicationStatus":"PW","scienceBaseUri":"5a610cd4e4b06e28e9c25739","contributors":{"authors":[{"text":"Jones, Nicole L.","contributorId":200624,"corporation":false,"usgs":false,"family":"Jones","given":"Nicole","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":722909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arrigo, Kevin R.","contributorId":192907,"corporation":false,"usgs":false,"family":"Arrigo","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":722910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monismith, Stephen G.","contributorId":196322,"corporation":false,"usgs":false,"family":"Monismith","given":"Stephen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":722912,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70200361,"text":"70200361 - 2009 - How electron flow controls contaminant dynamics","interactions":[],"lastModifiedDate":"2018-10-15T10:09:01","indexId":"70200361","displayToPublicDate":"2009-12-30T10:04:44","publicationYear":"2009","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":"How electron flow controls contaminant dynamics","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"ACS","doi":"10.1021/es903264z","usgsCitation":"Borch, T., Campbell, K.M., and Kretzschmar, R., 2009, How electron flow controls contaminant dynamics: Environmental Science & Technology, v. 44, no. 1, p. 3-6, https://doi.org/10.1021/es903264z.","productDescription":"4  p.","startPage":"3","endPage":"6","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":358366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-30","publicationStatus":"PW","scienceBaseUri":"5c10ca35e4b034bf6a7f7529","contributors":{"authors":[{"text":"Borch, Thomas","contributorId":195631,"corporation":false,"usgs":false,"family":"Borch","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":748496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":748497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kretzschmar, Ruben","contributorId":176771,"corporation":false,"usgs":false,"family":"Kretzschmar","given":"Ruben","email":"","affiliations":[],"preferred":false,"id":748498,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189925,"text":"70189925 - 2009 - Linking hydraulic properties of fire-affected soils to infiltration and water repellency","interactions":[],"lastModifiedDate":"2017-07-31T10:42:56","indexId":"70189925","displayToPublicDate":"2009-12-30T00:00:00","publicationYear":"2009","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":"Linking hydraulic properties of fire-affected soils to infiltration and water repellency","docAbstract":"<p>Heat from wildfires can produce a two-layer system composed of extremely dry soil covered by a layer of ash, which when subjected to rainfall, may produce extreme floods. To understand the soil physics controlling runoff for these initial conditions, we used a small, portable disk infiltrometer to measure two hydraulic properties: (1) near-saturated hydraulic conductivity,<span>&nbsp;</span><i>K<sub>f</sub></i><span>&nbsp;</span>and (2) sorptivity,<span>&nbsp;</span><i>S</i>(<i>θ<sub>i</sub></i>), as a function of initial soil moisture content,<span>&nbsp;</span><i>θ<sub>i</sub></i>, ranging from extremely dry conditions (<i>θ<sub>i</sub>&nbsp;</i>&lt;&nbsp;0.02&nbsp;cm<sup>3</sup>&nbsp;cm<sup>−3</sup>) to near saturation. In the field and in the laboratory replicate measurements were made of ash, reference soils, soils unaffected by fire, and fire-affected soils. Each has a different degrees of water repellency that influences<span>&nbsp;</span><i>K<sub>f</sub></i><span>&nbsp;</span>and<span>&nbsp;</span><i>S</i>(<i>θ<sub>i</sub></i>).</p><p>Values of<span>&nbsp;</span><i>K<sub>f</sub></i><span>&nbsp;</span>ranged from 4.5&nbsp;×&nbsp;10<sup>−3</sup><span>&nbsp;</span>to 53&nbsp;×&nbsp;10<sup>−3</sup>&nbsp;cm&nbsp;s<sup>−1</sup><span>&nbsp;</span>for ash; from 0.93&nbsp;×&nbsp;10<sup>−3</sup><span>&nbsp;</span>to 130&nbsp;×&nbsp;10<sup>−3</sup>&nbsp;cm&nbsp;s<sup>−1</sup><span>&nbsp;</span>for reference soils; and from 0.86&nbsp;×&nbsp;10<sup>−3</sup><span>&nbsp;</span>to 3.0&nbsp;×&nbsp;10<sup>−3</sup>&nbsp;cm&nbsp;s<sup>−1</sup>, for soil unaffected by fire, which had the lowest values of<span>&nbsp;</span><i>K<sub>f</sub></i>. Measurements indicated that<span>&nbsp;</span><i>S</i>(<i>θ<sub>i</sub></i>) could be represented by an empirical non-linear function of<span>&nbsp;</span><i>θ<sub>i</sub></i><span>&nbsp;</span>with a sorptivity maximum of 0.18–0.20&nbsp;cm&nbsp;s<sup>−0.5</sup>, between 0.03 and 0.08&nbsp;cm<sup>3</sup>&nbsp;cm<sup>−3</sup>. This functional form differs from the monotonically decreasing non-linear functions often used to represent<span>&nbsp;</span><i>S</i>(<i>θ<sub>i</sub></i>) for rainfall–runoff modeling. The sorptivity maximum may represent the combined effects of gravity, capillarity, and adsorption in a transitional domain corresponding to extremely dry soil, and moreover, it may explain the observed non-linear behavior, and the critical soil-moisture threshold of water repellent soils. Laboratory measurements of<span>&nbsp;</span><i>K<sub>f</sub></i><span>&nbsp;</span>and<span>&nbsp;</span><i>S</i>(<i>θ<sub>i</sub></i>) are the first for ash and fire-affected soil, but additional measurements are needed of these hydraulic properties for in situ fire-affected soils. They provide insight into water repellency behavior and infiltration under extremely dry conditions. Most importantly, they indicate how existing rainfall–runoff models can be modified to accommodate a possible two-layer system in extremely dry conditions. These modified models can be used to predict floods from burned watersheds under these initial conditions.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2009.10.015","usgsCitation":"Moody, J.A., David Kinner, and Ubeda, X., 2009, Linking hydraulic properties of fire-affected soils to infiltration and water repellency: Journal of Hydrology, v. 379, no. 3-4, p. 291-303, https://doi.org/10.1016/j.jhydrol.2009.10.015.","productDescription":"13 p.","startPage":"291","endPage":"303","ipdsId":"IP-012022","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"379","issue":"3-4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"598041a0e4b0a38ca27893a1","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":706783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"David Kinner","contributorId":195336,"corporation":false,"usgs":false,"family":"David Kinner","affiliations":[],"preferred":false,"id":706784,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ubeda, Xavier","contributorId":195337,"corporation":false,"usgs":false,"family":"Ubeda","given":"Xavier","email":"","affiliations":[],"preferred":false,"id":706785,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":98077,"text":"ofr20091269 - 2009 - Predictive Models of the Hydrological Regime of Unregulated Streams in Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"ofr20091269","displayToPublicDate":"2009-12-30T00:00:00","publicationYear":"2009","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":"2009-1269","title":"Predictive Models of the Hydrological Regime of Unregulated Streams in Arizona","docAbstract":"Three statistical models were developed by the U.S. Geological Survey in cooperation with the Arizona Department of Environmental Quality to improve the predictability of flow occurrence in unregulated streams throughout Arizona. The models can be used to predict the probabilities of the hydrological regime being one of four categories developed by this investigation: perennial, which has streamflow year-round; nearly perennial, which has streamflow 90 to 99.9 percent of the year; weakly perennial, which has streamflow 80 to 90 percent of the year; or nonperennial, which has streamflow less than 80 percent of the year. The models were developed to assist the Arizona Department of Environmental Quality in selecting sites for participation in the U.S. Environmental Protection Agency's Environmental Monitoring and Assessment Program. \r\n\r\nOne model was developed for each of the three hydrologic provinces in Arizona - the Plateau Uplands, the Central Highlands, and the Basin and Range Lowlands. The models for predicting the hydrological regime were calibrated using statistical methods and explanatory variables of discharge, drainage-area, altitude, and location data for selected U.S. Geological Survey streamflow-gaging stations and a climate index derived from annual precipitation data. Models were calibrated on the basis of streamflow data from 46 stations for the Plateau Uplands province, 82 stations for the Central Highlands province, and 90 stations for the Basin and Range Lowlands province. \r\n\r\nThe models were developed using classification trees that facilitated the analysis of mixed numeric and factor variables. In all three models, a threshold stream discharge was the initial variable to be considered within the classification tree and was the single most important explanatory variable. If a stream discharge value at a station was below the threshold, then the station record was determined as being nonperennial. If, however, the stream discharge was above the threshold, subsequent decisions were made according to the classification tree and explanatory variables to determine the hydrological regime of the reach as being perennial, nearly perennial, weakly perennial, or nonperennial. Using model calibration data, misclassification rates for each model were 17 percent for the Plateau Uplands, 15 percent for the Central Highlands, and 14 percent for the Basin and Range Lowlands models. The actual misclassification rate may be higher; however, the model has not been field verified for a full error assessment. \r\n\r\nThe calibrated models were used to classify stream reaches for which the Arizona Department of Environmental Quality had collected miscellaneous discharge measurements. A total of 5,080 measurements at 696 sites were routed through the appropriate classification tree to predict the hydrological regime of the reaches in which the measurements were made. The predictions resulted in classification of all stream reaches as perennial or nonperennial; no reaches were predicted as nearly perennial or weakly perennial. The percentages of sites predicted as being perennial and nonperennial, respectively, were 77 and 23 for the Plateau Uplands, 87 and 13 for the Central Highlands, and 76 and 24 for the Basin and Range Lowlands. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091269","collaboration":"Prepared in cooperation with the Arizona Department of Environmental Quality","usgsCitation":"Anning, D.W., and Parker, J.T., 2009, Predictive Models of the Hydrological Regime of Unregulated Streams in Arizona: U.S. Geological Survey Open-File Report 2009-1269, Report: iv, 33 p.; 4 Appendixes, https://doi.org/10.3133/ofr20091269.","productDescription":"Report: iv, 33 p.; 4 Appendixes","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":125775,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1269.jpg"},{"id":13311,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1269/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.5,31 ], [ -115.5,38 ], [ -109,38 ], [ -109,31 ], [ -115.5,31 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb89c","contributors":{"authors":[{"text":"Anning, David W. dwanning@usgs.gov","contributorId":432,"corporation":false,"usgs":true,"family":"Anning","given":"David","email":"dwanning@usgs.gov","middleInitial":"W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, John T.C.","contributorId":18766,"corporation":false,"usgs":true,"family":"Parker","given":"John","email":"","middleInitial":"T.C.","affiliations":[],"preferred":false,"id":304080,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98076,"text":"ofr20081198 - 2009 - Development of a Watershed Boundary Dataset for Mississippi","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"ofr20081198","displayToPublicDate":"2009-12-29T00:00:00","publicationYear":"2009","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":"2008-1198","title":"Development of a Watershed Boundary Dataset for Mississippi","docAbstract":"The U.S. Geological Survey, in cooperation with the Mississippi Department of Environmental Quality, U.S. Department of Agriculture-Natural Resources Conservation Service, Mississippi Department of Transportation, U.S. Department of Agriculture-Forest Service, and the Mississippi Automated Resource Information System, developed a 1:24,000-scale Watershed Boundary Dataset for Mississippi including watershed and subwatershed boundaries, codes, names, and drainage areas. The Watershed Boundary Dataset for Mississippi provides a standard geographical framework for water-resources and selected land-resources planning. The original 8-digit subbasins (hydrologic unit codes) were further subdivided into 10-digit watersheds and 12-digit subwatersheds - the exceptions are the Lower Mississippi River Alluvial Plain (known locally as the Delta) and the Mississippi River inside levees, which were only subdivided into 10-digit watersheds. Also, large water bodies in the Mississippi Sound along the coast were not delineated as small as a typical 12-digit subwatershed. All of the data - including watershed and subwatershed boundaries, hydrologic unit codes and names, and drainage-area data - are stored in a Geographic Information System database.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081198","collaboration":"Prepared in cooperation with the Mississippi Department of Environmental Quality, U.S. Department of Agriculture-Natural Resources Conservation Service, Mississippi Department of Transportation, U.S. Department of Agriculture-U.S. Forest Service, and Mississippi Automated Resource Information System","usgsCitation":"Van Wilson, K., Clair, M.G., Turnipseed, D.P., and Rebich, R.A., 2009, Development of a Watershed Boundary Dataset for Mississippi: U.S. Geological Survey Open-File Report 2008-1198, Report: iv, 9 p.; Table (xls), https://doi.org/10.3133/ofr20081198.","productDescription":"Report: iv, 9 p.; Table (xls)","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":125790,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2008_1198.jpg"},{"id":13310,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1198/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.63333333333334,30 ], [ -91.63333333333334,35 ], [ -88.11666666666666,35 ], [ -88.11666666666666,30 ], [ -91.63333333333334,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db666f80","contributors":{"authors":[{"text":"Van Wilson, K. Jr.","contributorId":58369,"corporation":false,"usgs":true,"family":"Van Wilson","given":"K.","suffix":"Jr.","affiliations":[],"preferred":false,"id":304078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clair, Michael G. II","contributorId":27578,"corporation":false,"usgs":true,"family":"Clair","given":"Michael","suffix":"II","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":304077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turnipseed, D. Phil 0000-0002-9737-3203 pturnip@usgs.gov","orcid":"https://orcid.org/0000-0002-9737-3203","contributorId":298,"corporation":false,"usgs":true,"family":"Turnipseed","given":"D.","email":"pturnip@usgs.gov","middleInitial":"Phil","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":304075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rebich, Richard A. 0000-0003-4256-7171 rarebich@usgs.gov","orcid":"https://orcid.org/0000-0003-4256-7171","contributorId":2315,"corporation":false,"usgs":true,"family":"Rebich","given":"Richard","email":"rarebich@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":304076,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70239101,"text":"70239101 - 2009 - Vadose water","interactions":[],"lastModifiedDate":"2022-12-27T13:52:36.137904","indexId":"70239101","displayToPublicDate":"2009-12-27T07:48:18","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Vadose water","docAbstract":"<p id=\"mc0016\">Vadose water is subsurface water between the land surface and the saturated zone below the water table. The vadose (or unsaturated) zone includes soil water, which is immediately available to the biosphere. It acts as a controlling agent in the transmission of water and other substances between various components of the earth system: aquifers, land surface, bodies of water, atmosphere, and so on. As an accessible body of material near the earth's surface, the vadose zone is a focus of much human activity, including agriculture, mining, construction, and waste disposal. Thus, it is affected by anthropogenic modifications of its chemical and physical components. Modern hydrology must consider interactions not only among the natural constituents, but also with a wide variety of contaminants, including pesticides, fertilizers, irrigation wastewater, sewage, toxic chemicals, radioactive substances, bacteria, mine wastes, and organic liquids.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Inland Waters","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elesvier","doi":"10.1016/B978-012370626-3.00014-4","usgsCitation":"Nimmo, J.R., 2009, Vadose water, chap. <i>of</i> Encyclopedia of Inland Waters, p. 766-777, https://doi.org/10.1016/B978-012370626-3.00014-4.","productDescription":"12 p.","startPage":"766","endPage":"777","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":411063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","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":860058,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98075,"text":"sir20095215 - 2009 - Water-Quality and Biological Characteristics and Responses to Agricultural Land Retirement in Three Streams of the Minnesota River Basin, Water Years 2006-08","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20095215","displayToPublicDate":"2009-12-25T00:00:00","publicationYear":"2009","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":"2009-5215","title":"Water-Quality and Biological Characteristics and Responses to Agricultural Land Retirement in Three Streams of the Minnesota River Basin, Water Years 2006-08","docAbstract":"Water-quality and biological characteristics in three streams in the Minnesota River Basin were assessed using data collected during water years 2006-08. The responses of nutrient concentrations, suspended-sediment concentrations, and biological characteristics to agricultural land retirement also were assessed. In general, total nitrogen, suspended-sediment, and chlorophyll-a concentrations, and fish resource quality improved with increasing land retirement.\r\n\r\nThe Chetomba Creek, West Fork Beaver Creek, and South Branch Rush River subbasins, which range in size from about 200 to 400 square kilometers, have similar geologic and hydrologic settings but differ with respect to the amount, type, and location of retired agricultural land. Total nitrogen concentrations were largest, with a mean of 15.0 milligrams per liter (mg/L), in water samples from the South Branch Rush River, a subbasin with little to no agricultural land retirement; total nitrogen concentrations were smaller in samples from Chetomba Creek (mean of 10.6 mg/L) and West Fork Beaver Creek (mean of 7.9 mg/L), which are subbasins with more riparian or upland land retirement at the basin scale. Total phosphorus concentrations were not related directly to differing land-retirement percentages with mean concentrations at primary data-collection sites of 0.259 mg/L in the West Fork Beaver Creek subbasin, 0.164 mg/L in the Chetomba Creek subbasin, and 0.180 mg/L in the South Branch Rush River subbasin. Temporal variation in water quality was characterized using data from in-stream water-quality monitors and storm-sediment data.\r\n\r\nFish data indicate better resource quality for the West Fork Beaver Creek subbasin than for other subbasins likely due to a combination of factors, including habitat quality, food resources, and dissolved oxygen characteristics. Index of biotic integrity (IBI) scores increased as local land-retirement percentages (within 50 and 100 meters of the streams) increased. Data and analysis from this study can be used to evaluate the success of agricultural management practices and land-retirement programs for improving stream quality.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095215","collaboration":"Prepared in cooperation with the Minnesota Board of Water and Soil Resources","usgsCitation":"Christensen, V.G., Lee, K., Sanocki, C.A., Mohring, E., and Kiesling, R.L., 2009, Water-Quality and Biological Characteristics and Responses to Agricultural Land Retirement in Three Streams of the Minnesota River Basin, Water Years 2006-08: U.S. Geological Survey Scientific Investigations Report 2009-5215, Report: 102 p. - report and 3 various paged appendixes, https://doi.org/10.3133/sir20095215.","productDescription":"Report: 102 p. - report and 3 various paged appendixes","temporalStart":"2005-10-01","temporalEnd":"2008-09-30","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":125772,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5215.jpg"},{"id":13309,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5215/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,44 ], [ -96,45.5 ], [ -93.5,45.5 ], [ -93.5,44 ], [ -96,44 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f6e4b07f02db5f1a11","contributors":{"authors":[{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":304072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanocki, Christopher A.","contributorId":100432,"corporation":false,"usgs":true,"family":"Sanocki","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":304074,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mohring, Eric H.","contributorId":20443,"corporation":false,"usgs":true,"family":"Mohring","given":"Eric H.","affiliations":[],"preferred":false,"id":304073,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304070,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98072,"text":"ofr20091168 - 2009 - Methods for Estimating Withdrawal and Return Flow by Census Block for 2005 and 2020 for New Hampshire","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"ofr20091168","displayToPublicDate":"2009-12-23T00:00:00","publicationYear":"2009","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":"2009-1168","title":"Methods for Estimating Withdrawal and Return Flow by Census Block for 2005 and 2020 for New Hampshire","docAbstract":"The U.S. Geological Survey, in cooperation with the New Hampshire Department of Environmental Services, estimated the amount of water demand, consumptive use, withdrawal, and return flow for each U.S. Census block in New Hampshire for the years 2005 (current) and 2020. Estimates of domestic, commercial, industrial, irrigation, and other nondomestic water use were derived through the use and innovative integration of several State and Federal databases, and by use of previously developed techniques.\r\n\r\nThe New Hampshire Water Demand database was created as part of this study to store and integrate State of New Hampshire data central to the project. Within the New Hampshire Water Demand database, a lookup table was created to link the State databases and identify water users common to more than one database. The lookup table also allowed identification of withdrawal and return-flow locations of registered and unregistered commercial, industrial, agricultural, and other nondomestic users. Geographic information system data from the State were used in combination with U.S. Census Bureau spatial data to locate and quantify withdrawals and return flow for domestic users in each census block.\r\n\r\nAnalyzing and processing the most recently available data resulted in census-block estimations of 2005 water use. Applying population projections developed by the State to the data sets enabled projection of water use for the year\r\n2020. The results for each census block are stored in the New Hampshire Water Demand database and may be aggregated to larger political areas or watersheds to assess relative hydrologic stress on the basis of current and potential water availability.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091168","collaboration":"Prepared in cooperation with the New Hampshire Department of Environmental Services","usgsCitation":"Hayes, L., and Horn, M.A., 2009, Methods for Estimating Withdrawal and Return Flow by Census Block for 2005 and 2020 for New Hampshire: U.S. Geological Survey Open-File Report 2009-1168, viii, 33 p., https://doi.org/10.3133/ofr20091168.","productDescription":"viii, 33 p.","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":125776,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1168.jpg"},{"id":13306,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1168/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.58333333333333,42.666666666666664 ], [ -72.58333333333333,45.333333333333336 ], [ -70.58333333333333,45.333333333333336 ], [ -70.58333333333333,42.666666666666664 ], [ -72.58333333333333,42.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db62a108","contributors":{"authors":[{"text":"Hayes, Laura 0000-0002-4488-1343 lhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-1343","contributorId":2791,"corporation":false,"usgs":true,"family":"Hayes","given":"Laura","email":"lhayes@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horn, Marilee A. mhorn@usgs.gov","contributorId":2792,"corporation":false,"usgs":true,"family":"Horn","given":"Marilee","email":"mhorn@usgs.gov","middleInitial":"A.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304063,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98059,"text":"sir20095254 - 2009 - Real-Time River Channel-Bed Monitoring at the Chariton and Mississippi Rivers in Missouri, 2007-09","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20095254","displayToPublicDate":"2009-12-19T00:00:00","publicationYear":"2009","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":"2009-5254","title":"Real-Time River Channel-Bed Monitoring at the Chariton and Mississippi Rivers in Missouri, 2007-09","docAbstract":"Scour and depositional responses to hydrologic events have been important to the scientific community studying sediment transport as well as potential effects on bridges and other hydraulic structures within riverine systems. A river channel-bed monitor composed of a single-beam transducer was installed on a bridge crossing the Chariton River near Prairie Hill, Missouri (structure L-344) as a pilot study to evaluate channel-bed change in response to the hydrologic condition disseminated from an existing streamgage. Initial results at this location led to additional installations in cooperation with the Missouri Department of Transportation at an upstream Chariton River streamgage location at Novinger, Missouri (structure L-534) and a Mississippi River streamgage location near Mehlville, Missouri (structures A-1850 and A-4936). In addition to stage, channel-bed elevation was collected at all locations every 15 minutes and transmitted hourly to a U.S. Geological Survey database. Bed elevation data for the Chariton River location at Novinger and the Mississippi River location near Mehlville were provided to the World Wide Web for real-time monitoring. Channel-bed data from the three locations indicated responses to hydrologic events depicted in the stage record; however, notable bedforms apparent during inter-event flows also may have affected the relation of scour and deposition to known hydrologic events. Throughout data collection periods, Chariton River locations near Prairie Hill and Novinger reflected bed changes as much as 13 feet and 5 feet. Nearly all of the bed changes correlated well with the hydrographic record at these locations. The location at the Mississippi River near Mehlville indicated a much more stable channel bed throughout the data collection period. Despite missing data resulting from damage to one of the river channel-bed monitors from ice accumulation at the upstream nose of the bridge pier early in the record, the record from the downstream river channel-bed monitor demonstrated a good correlation (regardless of a 7 percent high bias) between bedform movement and the presence of bedforms surrounding the bridge as indicated by coincident bathymetric surveys using multibeam sonar.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095254","isbn":"9781411326347","collaboration":"Prepared in cooperation with the Missouri Department of Transportation","usgsCitation":"Rydlund, P.H., 2009, Real-Time River Channel-Bed Monitoring at the Chariton and Mississippi Rivers in Missouri, 2007-09: U.S. Geological Survey Scientific Investigations Report 2009-5254, vi, 28 p., https://doi.org/10.3133/sir20095254.","productDescription":"vi, 28 p.","temporalStart":"2007-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":125788,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5254.jpg"},{"id":13293,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5254/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,36 ], [ -96,41 ], [ -89,41 ], [ -89,36 ], [ -96,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a52e4b07f02db62a905","contributors":{"authors":[{"text":"Rydlund, Paul H. Jr. 0000-0001-9461-9944 prydlund@usgs.gov","orcid":"https://orcid.org/0000-0001-9461-9944","contributorId":3840,"corporation":false,"usgs":true,"family":"Rydlund","given":"Paul","suffix":"Jr.","email":"prydlund@usgs.gov","middleInitial":"H.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":304037,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98060,"text":"sir20095051 - 2009 - Aquifer chemistry and transport processes in the zone of contribution to a public-supply well in Woodbury, Connecticut, 2002-06","interactions":[],"lastModifiedDate":"2019-08-13T12:29:12","indexId":"sir20095051","displayToPublicDate":"2009-12-19T00:00:00","publicationYear":"2009","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":"2009-5051","title":"Aquifer chemistry and transport processes in the zone of contribution to a public-supply well in Woodbury, Connecticut, 2002-06","docAbstract":"A glacial aquifer system in Woodbury, Connecticut, was studied to identify factors that affect the groundwater quality in the zone of contribution to a community public-supply well. Water samples were collected during 2002-06 from the public-supply well and from 35 monitoring wells in glacial stratified deposits, glacial till, and fractured bedrock. The glacial aquifer is vulnerable to contamination from a variety of sources due to the short groundwater residence times and the urban land use in the contributing recharge area to the public-supply well. The distribution and concentrations of pH, major and trace elements, stable isotope ratios, recharge temperatures, dissolved organic carbon (DOC), and volatile organic compounds (VOCs), and the oxidation-reduction (redox) conditions, were used to identify recharge source areas, aquifer source material, anthropogenic sources, chemical processes, and groundwater-flow paths from recharge areas to the public-supply well, PSW-1.\r\n\r\nThe major chemical sources to groundwater and the tracers or conditions used to identify them and their processes throughout the aquifer system include (1) bedrock and glacial stratified deposits and till, characterized by high pH and concentrations of sulfate (SO42-), bicarbonate, uranium (U), radon-222, and arsenic (As) relative to those of other wells, reducing redox conditions, enriched delta sulfur-34 (d34S) and delta carbon-13 (d13C) values, depleted delta oxygen-18 (d18O) and delta deuterium (dD) values, calcite near saturation, low recharge temperatures, and groundwater ages of more than about 9 years; (2) natural organic matter, either in sediments or in an upgradient riparian zone, characterized by high concentrations of DOC or manganese (Mn), low concentrations of dissolved oxygen (DO) and nitrate (NO3-), enriched d34S values, and depleted d18O and dD values; (3) road salt (halite), characterized by high concentrations of sodium (Na), chloride (Cl-), and calcium (Ca), and indicative chloride/bromide (Cl:Br) mass concentration ratios; (4) septic-system leachate, characterized by high concentrations of NO3-, DOC, Na, Cl-, Ca, and boron (B), delta nitrogen-15 (d15N) and d18O values, and indicative Cl:Br ratios; (5) organic solvent spills, characterized by detections of perchloroethene (PCE), trichloroethene (TCE), and 1,1-dichloroethene (1,1-DCE); (6) gasoline station spills, characterized by detections of fuel oxygenates and occasionally benzene; and (7) surface-water leakage, characterized by enriched d18O and dD values and sometimes high DOC and Mn-reducing conditions. Evaluation of Cl- concentrations and Cl:Br ratios indicates that most samples were composed of mixtures of groundwater and some component of road salt or septic-system leachate. Leachate from septic-tank drainfields can cause locally anoxic conditions with NO3- concentrations of as much as 19 milligrams per liter (mg/L as N) and may provide up to 15 percent of the nitrogen in water from well PSW-1, based on mixing calculations with d15N of NO3-.\r\n\r\nMost of the water that contributes to PSW-1 is young (less than 7 years) and derived from the glacial stratified deposits. Typically, groundwater is oxic, but localized reducing zones that result from abundances of organic matter can affect the mobilization of trace elements and the degradation of VOCs. Groundwater from fractured bedrock beneath the valley bottom, which is old (more than 50 years), and reflects a Mn-reducing to methanic redox environment, constitutes as much as 6 percent of water samples collected from monitoring wells screened at the bottom of the glacial aquifer. Dissolved As and U concentrations generally are near the minimum reporting level (MRL) (0.2 micrograms per liter or ?g/L and 0.04 ?g/L, respectively), but water from a few wells screened in glacial deposits, likely derived from underlying organic-rich Mesozoic rocks, contain As concentrations up to 7 ?g/L. At one location, concentrations of As and U were high ","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095051","isbn":"9781411325470","usgsCitation":"Brown, C., Starn, J.J., Stollenwerk, K.G., Mondazzi, R.A., and Trombley, T.J., 2009, Aquifer chemistry and transport processes in the zone of contribution to a public-supply well in Woodbury, Connecticut, 2002-06: U.S. Geological Survey Scientific Investigations Report 2009-5051, xiv, 158 p., https://doi.org/10.3133/sir20095051.","productDescription":"xiv, 158 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2002-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":125771,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5051.jpg"},{"id":13294,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5051/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74,40 ], [ -74,46 ], [ -69,46 ], [ -69,40 ], [ -74,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679fd1","contributors":{"authors":[{"text":"Brown, Craig J.","contributorId":104450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[],"preferred":false,"id":304042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":304041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stollenwerk, Kenneth G. kgstolle@usgs.gov","contributorId":578,"corporation":false,"usgs":true,"family":"Stollenwerk","given":"Kenneth","email":"kgstolle@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":304038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mondazzi, Remo A.","contributorId":77898,"corporation":false,"usgs":true,"family":"Mondazzi","given":"Remo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":304040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trombley, Thomas J. trombley@usgs.gov","contributorId":1803,"corporation":false,"usgs":true,"family":"Trombley","given":"Thomas","email":"trombley@usgs.gov","middleInitial":"J.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304039,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98057,"text":"sir20095210 - 2009 - Diel Sampling of Groundwater and Surface Water for Trace Elements and Select Water-Quality Constituents at a Former Zinc Smelter Site near Hegeler, Illinois, August 1-3, 2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20095210","displayToPublicDate":"2009-12-18T00:00:00","publicationYear":"2009","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":"2009-5210","title":"Diel Sampling of Groundwater and Surface Water for Trace Elements and Select Water-Quality Constituents at a Former Zinc Smelter Site near Hegeler, Illinois, August 1-3, 2007","docAbstract":"Surface water can exhibit substantial diel variations in the concentration of a number of constituents. Sampling regimens that do not characterize diel variations in water quality can result in an inaccurate understanding of site conditions and of the threat posed by the site to human health and the environment. Surface- and groundwater affected by acid drainage were sampled every 60 to 90 minutes over a 48-hour period at a former zinc smelter known as the Hegeler Zinc Superfund Site, in Hegeler, Ill. Groundwater-quality data from a well at the site indicate stable, low pH, weakly oxidizing geochemical conditions in the aquifer. With the exceptions of temperature and pH, no constituents exhibited diel variations in groundwater. Variations in temperature and pH likely were not representative of conditions in the aquifer.\r\n\r\nSurface water was sampled at a site on Grape Creek. Diel variations were observed in temperature, dissolved oxygen, pH, and specific conductance, and in the concentrations of nitrite, barium, iron, lead, vanadium, and possibly uranium. Concentrations during the diel cycles varied by about an order of magnitude for nitrite and varied by about a factor of two for barium, iron, lead, vanadium, and uranium. Temperature, dissolved oxygen, specific conductance, nitrite, barium, lead, and uranium generally reached maximum values during the afternoon and minimum values during the night. Iron, vanadium, and pH generally reached minimum values during the afternoon and maximum values during the night. These variations would need to be accounted for during sampling of surface-water quality in similar hydrologic settings.\r\n\r\nThe temperature variations in surface water were affected by variations in air temperature. Concentrations of dissolved oxygen were affected by variations in the intensity of photosynthetic activity and respiration. Nitrite likely was formed by the oxidation of ammonium by dissolved oxygen and degraded by its anaerobic oxidation by ammonium or as part of the decomposition of organic matter. Variations in pH were affected by the photoreduction of Fe3+ to Fe2+ and the precipitation of iron oxyhydroxides. Diel variations in concentrations of iron and vanadium were likely caused by variations in the dissolution and precipitation of iron oxyhydroxides, oxyhydroxysulfates, and hydrous sulfates, which may have been affected by in the intensity of insolation, iron photoreduction, and the concentration of dissolved oxygen. The concentrations of lead, uranium, and perhaps barium in Grape Creek may have been affected by competition for sorption sites on iron oxyhydroxides. Competition for sorption sites was likely affected by variations in pH and the concentration of Fe2+. Constituent concentrations likely also were affected by precipitation and dissolution of minerals that are sensitive to changes in pH, temperature, oxidation-reduction conditions, and biologic activity. The chemical and biologic processes that resulted in the diel variations observed in Grape Creek occurred within the surface-water column or in the underlying sediments.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095210","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Kay, R.T., Groschen, G.E., Dupre, D.H., Drexler, T.D., Thingvold, K.L., and Rosenfeld, H.J., 2009, Diel Sampling of Groundwater and Surface Water for Trace Elements and Select Water-Quality Constituents at a Former Zinc Smelter Site near Hegeler, Illinois, August 1-3, 2007: U.S. Geological Survey Scientific Investigations Report 2009-5210, vi, 64 p., https://doi.org/10.3133/sir20095210.","productDescription":"vi, 64 p.","temporalStart":"2007-08-01","temporalEnd":"2007-08-03","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":125942,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5210.jpg"},{"id":13291,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5210/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.65083333333334,40.066944444444445 ], [ -87.65083333333334,40.06805555555556 ], [ -87.63416666666667,40.06805555555556 ], [ -87.63416666666667,40.066944444444445 ], [ -87.65083333333334,40.066944444444445 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d98c","contributors":{"authors":[{"text":"Kay, Robert T. 0000-0002-6281-8997 rtkay@usgs.gov","orcid":"https://orcid.org/0000-0002-6281-8997","contributorId":1122,"corporation":false,"usgs":true,"family":"Kay","given":"Robert","email":"rtkay@usgs.gov","middleInitial":"T.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groschen, George E.","contributorId":99132,"corporation":false,"usgs":true,"family":"Groschen","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":304030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dupre, David H. dhdupre@usgs.gov","contributorId":2782,"corporation":false,"usgs":true,"family":"Dupre","given":"David","email":"dhdupre@usgs.gov","middleInitial":"H.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drexler, Timothy D.","contributorId":77806,"corporation":false,"usgs":true,"family":"Drexler","given":"Timothy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":304029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thingvold, Karen L.","contributorId":12331,"corporation":false,"usgs":true,"family":"Thingvold","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":304027,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosenfeld, Heather J.","contributorId":15074,"corporation":false,"usgs":true,"family":"Rosenfeld","given":"Heather","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":304028,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98050,"text":"sir20095076 - 2009 - Mercury Loads in the South River and Simulation of Mercury Total Maximum Daily Loads (TMDLs) for the South River, South Fork Shenandoah River, and Shenandoah River: Shenandoah Valley, Virginia","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20095076","displayToPublicDate":"2009-12-17T00:00:00","publicationYear":"2009","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":"2009-5076","title":"Mercury Loads in the South River and Simulation of Mercury Total Maximum Daily Loads (TMDLs) for the South River, South Fork Shenandoah River, and Shenandoah River: Shenandoah Valley, Virginia","docAbstract":"Due to elevated levels of methylmercury in fish, three streams in the Shenandoah Valley of Virginia have been placed on the State's 303d list of contaminated waters. These streams, the South River, the South Fork Shenandoah River, and parts of the Shenandoah River, are downstream from the city of Waynesboro, where mercury waste was discharged from 1929-1950 at an industrial site. To evaluate mercury contamination in fish, this total maximum daily load (TMDL) study was performed in a cooperative effort between the U.S. Geological Survey, the Virginia Department of Environmental Quality, and the U.S. Environmental Protection Agency. The investigation focused on the South River watershed, a headwater of the South Fork Shenandoah River, and extrapolated findings to the other affected downstream rivers. A numerical model of the watershed, based on Hydrological Simulation Program-FORTRAN (HSPF) software, was developed to simulate flows of water, sediment, and total mercury. Results from the investigation and numerical model indicate that contaminated flood-plain soils along the riverbank are the largest source of mercury to the river. Mercury associated with sediment accounts for 96 percent of the annual downstream mercury load (181 of 189 kilograms per year) at the mouth of the South River. Atmospherically deposited mercury contributes a smaller load (less than 1 percent) as do point sources, including current discharge from the historic industrial source area. In order to determine how reductions of mercury loading to the stream could reduce methylmercury concentrations in fish tissue below the U.S. Environmental Protection Agency criterion of 0.3 milligrams per kilogram, multiple scenarios were simulated. Bioaccumulation of mercury was expressed with a site-specific exponential relation between aqueous total mercury and methylmercury in smallmouth bass, the indicator fish species. Simulations indicate that if mercury loading were to decrease by 98.9 percent from 189 to 2 kilograms per year, fish tissue methylmercury concentrations would drop below 0.3 milligrams per kilogram. Based on the simulations, the estimated maximum load of total mercury that can enter the South River without causing fish tissue methylmercury concentrations to rise above 0.3 milligrams per kilogram is 2.03 kilograms per year for the South River, and 4.12 and 6.06 kilograms per year for the South Fork Shenandoah River and Shenandoah River, respectively.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095076","isbn":"9781411325999","collaboration":"Prepared in cooperation with the Virginia Department of Environmental Quality and the U.S. Environmental Protection Agency","usgsCitation":"Eggleston, J., 2009, Mercury Loads in the South River and Simulation of Mercury Total Maximum Daily Loads (TMDLs) for the South River, South Fork Shenandoah River, and Shenandoah River: Shenandoah Valley, Virginia: U.S. Geological Survey Scientific Investigations Report 2009-5076, xii, 80 p., https://doi.org/10.3133/sir20095076.","productDescription":"xii, 80 p.","additionalOnlineFiles":"Y","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":125940,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5076.jpg"},{"id":13284,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5076/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.5,37.75 ], [ -79.5,39.5 ], [ -77.75,39.5 ], [ -77.75,37.75 ], [ -79.5,37.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a49e4b07f02db623ca3","contributors":{"authors":[{"text":"Eggleston, Jack","contributorId":46648,"corporation":false,"usgs":true,"family":"Eggleston","given":"Jack","email":"","affiliations":[],"preferred":false,"id":304009,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70207238,"text":"70207238 - 2009 - Methodology for an integrative assessment of China's ecological restoration programs","interactions":[],"lastModifiedDate":"2020-02-20T10:09:58","indexId":"70207238","displayToPublicDate":"2009-12-12T14:53:27","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Methodology for an integrative assessment of China's ecological restoration programs","docAbstract":"<p class=\"Para\">While research projects have been conducted to examine the impacts and effectiveness of China's ecological restoration programs, few of them represent integrated, systematic efforts. The objective of this chapter is thus to articulate and outline a methodology for an integrative assessment, which, we believe, should embrace both the environmental and socioeconomic changes and engage investigations at multiple scales. Further, these investigations should be pursued through interdisciplinary collaboration with expertise from ecology, economics, hydrology, and geospatial, climate, and land change sciences. We argue that the deployment of geospatial capability, the use of longitudinal data, and the connection between science and policy should be the hallmarks of an integrative assessment. We also describe our general approach and specific models to quantify the environmental and socioeconomic impacts induced by implementing the restoration programs, and address the issue of how to overcome the challenges in generating the data needed for executing various empirical tasks. We hope that the adoption and application of this methodology will make a valuable contribution to a more robust and timely assessment as well as implementation of the ecological restoration programs in and outside of China.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"An integrated assessment of China's ecological restoration programs","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Netherlands","doi":"10.1007/978-90-481-2655-2_3","usgsCitation":"Yin, R., Rothstein, D., Qi, J., and Liu, S., 2009, Methodology for an integrative assessment of China's ecological restoration programs, chap. 3 <i>of</i> An integrated assessment of China's ecological restoration programs, p. 39-54, https://doi.org/10.1007/978-90-481-2655-2_3.","productDescription":"16 p.","startPage":"39","endPage":"54","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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R.","contributorId":221212,"corporation":false,"usgs":false,"family":"Yin","given":"R.","email":"","affiliations":[],"preferred":false,"id":777395,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Yin, R.","contributorId":221212,"corporation":false,"usgs":false,"family":"Yin","given":"R.","email":"","affiliations":[],"preferred":false,"id":777391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rothstein, D.","contributorId":221213,"corporation":false,"usgs":false,"family":"Rothstein","given":"D.","email":"","affiliations":[],"preferred":false,"id":777392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qi, J.","contributorId":48718,"corporation":false,"usgs":true,"family":"Qi","given":"J.","email":"","affiliations":[],"preferred":false,"id":777393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":777427,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98040,"text":"sir20095146 - 2009 - Development, Testing, and Application of a Coupled Hydrodynamic Surface-Water/Groundwater Model (FTLOADDS) with Heat and Salinity Transport in the Ten Thousand Islands/Picayune Strand Restoration Project Area, Florida","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"sir20095146","displayToPublicDate":"2009-12-12T00:00:00","publicationYear":"2009","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":"2009-5146","title":"Development, Testing, and Application of a Coupled Hydrodynamic Surface-Water/Groundwater Model (FTLOADDS) with Heat and Salinity Transport in the Ten Thousand Islands/Picayune Strand Restoration Project Area, Florida","docAbstract":"A numerical model application was developed for the coastal area inland of the Ten Thousand Islands (TTI) in southwestern Florida using the Flow and Transport in a Linked Overland/Aquifer Density-Dependent System (FTLOADDS) model. This model couples a two-dimensional dynamic surface-water model with a three-dimensional groundwater model, and has been applied to several locations in southern Florida. The model application solves equations for salt transport in groundwater and surface water, and also simulates surface-water temperature using a newly enhanced heat transport algorithm. One of the purposes of the TTI application is to simulate hydrologic factors that relate to habitat suitability for the West Indian Manatee. Both salinity and temperature have been shown to be important factors for manatee survival. The inland area of the TTI domain is the location of the Picayune Strand Restoration Project, which is designed to restore predevelopment hydrology through the filling and plugging of canals, construction of spreader channels, and the construction of levees and pump stations. The effects of these changes are simulated to determine their effects on manatee habitat.\r\n\r\nThe TTI application utilizes a large amount of input data for both surface-water and groundwater flow simulations. These data include topography, frictional resistance, atmospheric data including rainfall and air temperature, aquifer properties, and boundary conditions for tidal levels, inflows, groundwater heads, and salinities. Calibration was achieved by adjusting the parameters having the largest uncertainty: surface-water inflows, the surface-water transport dispersion coefficient, and evapotranspiration. A sensitivity analysis did not indicate that further parameter changes would yield an overall improvement in simulation results. The agreement between field data from GPS-tracked manatees and TTI application results demonstrates that the model can predict the salinity and temperature fluctuations which affect manatee behavior. Comparison of the existing conditions simulation with the simulation incorporating restoration changes indicated that the restoration would increase the period of inundation for most of the coastal wetlands. Generally, surface-water salinity was lowered by restoration changes in most of the wetlands areas, especially during the early dry season. However, the opposite pattern was observed in the primary canal habitat for manatees, namely, the Port of the Islands. Salinities at this location tended to be moderately elevated during the dry season, and unchanged during the wet season. Water temperatures were in close agreement between the existing conditions and restoration simulations, although minimum temperatures at the Port of the Islands were slightly higher in the restoration simulation as a result of the additional surface-water ponding and warming that occurs in adjacent wetlands.\r\n\r\nThe TTI application output was used to generate salinity and temperature time series for comparison to manatee field tracking data and an individually-based manatee-behavior model. Overlaying field data with salinity and temperature results from the TTI application reflects the effect of warm water availability and the periodic need for low-salinity drinking water on manatee movements. The manatee-behavior model uses the TTI application data at specific model nodes along the main manatee travel corridors to determine manatee migration patterns. The differences between the existing conditions and restoration scenarios can then be compared for manatee refugia. The TTI application can be used to test a variety of hydrologic conditions and their effect on important criteria.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095146","isbn":"9781411325975","collaboration":"Prepared as part of the U.S. Geological Survey Priority Ecosystems Science Initiative","usgsCitation":"Swain, E.D., and Decker, J.D., 2009, Development, Testing, and Application of a Coupled Hydrodynamic Surface-Water/Groundwater Model (FTLOADDS) with Heat and Salinity Transport in the Ten Thousand Islands/Picayune Strand Restoration Project Area, Florida: U.S. Geological Survey Scientific Investigations Report 2009-5146, viii, 42 p., https://doi.org/10.3133/sir20095146.","productDescription":"viii, 42 p.","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":125612,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5146.jpg"},{"id":13254,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5146/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.75,25.916666666666668 ], [ -81.75,26.166666666666668 ], [ -81.41666666666667,26.166666666666668 ], [ -81.41666666666667,25.916666666666668 ], [ -81.75,25.916666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65dd85","contributors":{"authors":[{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Decker, Jeremy D. 0000-0002-0700-515X jdecker@usgs.gov","orcid":"https://orcid.org/0000-0002-0700-515X","contributorId":514,"corporation":false,"usgs":true,"family":"Decker","given":"Jeremy","email":"jdecker@usgs.gov","middleInitial":"D.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":303983,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98039,"text":"fs20093105 - 2009 - U.S. Geological Survey Groundwater Modeling Software: Making Sense of a Complex Natural Resource","interactions":[],"lastModifiedDate":"2012-02-02T00:14:32","indexId":"fs20093105","displayToPublicDate":"2009-12-12T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-3105","title":"U.S. Geological Survey Groundwater Modeling Software: Making Sense of a Complex Natural Resource","docAbstract":"Computer models of groundwater systems simulate the flow of groundwater, including water levels, and the transport of chemical constituents and thermal energy. Groundwater models afford hydrologists a framework on which to organize their knowledge and understanding of groundwater systems, and they provide insights water-resources managers need to plan effectively for future water demands. Building on decades of experience, the U.S. Geological Survey (USGS) continues to lead in the development and application of computer software that allows groundwater models to address scientific and management questions of increasing complexity.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093105","usgsCitation":"Provost, A., Reilly, T.E., Harbaugh, A.W., and Pollock, D.W., 2009, U.S. Geological Survey Groundwater Modeling Software: Making Sense of a Complex Natural Resource: U.S. Geological Survey Fact Sheet 2009-3105, 4 p., https://doi.org/10.3133/fs20093105.","productDescription":"4 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125430,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3105.jpg"},{"id":13253,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3105/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2be4b07f02db6131b6","contributors":{"authors":[{"text":"Provost, Alden M.","contributorId":85652,"corporation":false,"usgs":true,"family":"Provost","given":"Alden M.","affiliations":[],"preferred":false,"id":303982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reilly, Thomas E. tereilly@usgs.gov","contributorId":1660,"corporation":false,"usgs":true,"family":"Reilly","given":"Thomas","email":"tereilly@usgs.gov","middleInitial":"E.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":303980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harbaugh, Arlen W. harbaugh@usgs.gov","contributorId":426,"corporation":false,"usgs":true,"family":"Harbaugh","given":"Arlen","email":"harbaugh@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":303979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pollock, David W. dwpolloc@usgs.gov","contributorId":4248,"corporation":false,"usgs":true,"family":"Pollock","given":"David","email":"dwpolloc@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":303981,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208391,"text":"70208391 - 2009 - Climate change, land‐cover dynamics and ecohydrology of the Nile River Basin","interactions":[],"lastModifiedDate":"2020-02-20T10:11:11","indexId":"70208391","displayToPublicDate":"2009-12-11T15:35:26","publicationYear":"2009","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":"Climate change, land‐cover dynamics and ecohydrology of the Nile River Basin","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.7522","usgsCitation":"Melesse, A.M., Loukas, A.G., Senay, G., and Yitayew, M., 2009, Climate change, land‐cover dynamics and ecohydrology of the Nile River Basin: Hydrological Processes, v. 23, no. 26, p. 3651-3652, https://doi.org/10.1002/hyp.7522.","productDescription":"2 p.","startPage":"3651","endPage":"3652","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":372127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Burundi, Egypt, Eritrea, Ethiopia, Kenya, Rwanda, Sudan, South Sudan, Tanzania, Uganda","otherGeospatial":"Nile River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              27.59765625,\n              -0.7031073524364783\n            ],\n            [\n              36.03515625,\n              -0.7031073524364783\n            ],\n            [\n              36.03515625,\n              30.751277776257812\n            ],\n            [\n              27.59765625,\n              30.751277776257812\n            ],\n            [\n              27.59765625,\n              -0.7031073524364783\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"26","noUsgsAuthors":false,"publicationDate":"2009-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Melesse, Assefa M.","contributorId":45044,"corporation":false,"usgs":false,"family":"Melesse","given":"Assefa","email":"","middleInitial":"M.","affiliations":[{"id":7003,"text":"Deprtment of Earth & Environmental ECS 339, Florida Interational University","active":true,"usgs":false}],"preferred":false,"id":781700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loukas, Athanasios G.","contributorId":222254,"corporation":false,"usgs":false,"family":"Loukas","given":"Athanasios","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":781701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yitayew, Muluneh","contributorId":222255,"corporation":false,"usgs":false,"family":"Yitayew","given":"Muluneh","email":"","affiliations":[],"preferred":false,"id":781703,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199991,"text":"70199991 - 2009 - Author's response to \"If poultry's to blame, Where's the proof?\"","interactions":[],"lastModifiedDate":"2018-10-10T09:22:34","indexId":"70199991","displayToPublicDate":"2009-12-09T09:21:31","publicationYear":"2009","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":"Author's response to \"If poultry's to blame, Where's the proof?\"","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1897/08-558.1","usgsCitation":"Ripley, J., Foran, C., Iwanowicz, L.R., and Blazer, V., 2009, Author's response to \"If poultry's to blame, Where's the proof?\": Environmental Toxicology and Chemistry, v. 28, no. 5, p. 908-909, https://doi.org/10.1897/08-558.1.","productDescription":"2 p.","startPage":"908","endPage":"909","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":358230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"5","noUsgsAuthors":false,"publicationDate":"2009-05-01","publicationStatus":"PW","scienceBaseUri":"5c10ca79e4b034bf6a7f7657","contributors":{"authors":[{"text":"Ripley, J.L.","contributorId":50570,"corporation":false,"usgs":true,"family":"Ripley","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":747652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foran, C.","contributorId":81231,"corporation":false,"usgs":true,"family":"Foran","given":"C.","email":"","affiliations":[],"preferred":false,"id":747653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":747654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":747655,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98033,"text":"sir20095158 - 2009 - Magnitude and Frequency of Rural Floods in the Southeastern United States, through 2006: Volume 2, North Carolina","interactions":[],"lastModifiedDate":"2023-05-04T10:58:36.484661","indexId":"sir20095158","displayToPublicDate":"2009-12-09T00:00:00","publicationYear":"2009","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":"2009-5158","title":"Magnitude and Frequency of Rural Floods in the Southeastern United States, through 2006: Volume 2, North Carolina","docAbstract":"Reliable estimates of the magnitude and frequency of floods are required for the economical and safe design of transportation and water-conveyance structures. A multistate approach was used to update methods for estimating the magnitude and frequency of floods in rural, ungaged basins in North Carolina, South Carolina, and Georgia that are not substantially affected by regulation, tidal fluctuations, or urban development. In North Carolina, annual peak-flow data available through September 2006 were available for 584 sites; 402 of these sites had a total of 10 or more years of systematic record that is required for at-site, flood-frequency analysis. Following data reviews and the computation of 20 physical and climatic basin characteristics for each station as well as at-site flood-frequency statistics, annual peak-flow data were identified for 363 sites in North Carolina suitable for use in this analysis. Among these 363 sites, 19 sites had records that could be divided into unregulated and regulated/ channelized annual peak discharges, which means peak-flow records were identified for a total of 382 cases in North Carolina. Considering the 382 cases, at-site flood-frequency statistics are provided for 333 unregulated cases (also used for the regression database) and 49 regulated/channelized cases. The flood-frequency statistics for the 333 unregulated sites were combined with data for sites from South Carolina, Georgia, and adjacent parts of Alabama, Florida, Tennessee, and Virginia to create a database of 943 sites considered for use in the regional regression analysis.\r\n\r\nFlood-frequency statistics were computed by fitting logarithms (base 10) of the annual peak flows to a log-Pearson Type III distribution. As part of the computation process, a new generalized skew coefficient was developed by using a Bayesian generalized least-squares regression model.\r\n\r\nExploratory regression analyses using ordinary least-squares regression completed on the initial database of 943 sites resulted in defining five hydrologic regions for North Carolina, South Carolina, and Georgia. Stations with drainage areas less than 1 square mile were removed from the database, and a procedure to examine for basin redundancy (based on drainage area and periods of record) also resulted in the removal of some stations from the regression database.\r\n\r\nFlood-frequency estimates and basin characteristics for 828 gaged stations were combined to form the final database that was used in the regional regression analysis. Regional regression analysis, using generalized least-squares regression, was used to develop a set of predictive equations that can be used for estimating the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent chance exceedance flows for rural ungaged, basins in North Carolina, South Carolina, and Georgia. The final predictive equations are all functions of drainage area and the percentage of drainage basin within each of the five hydrologic regions. Average errors of prediction for these regression equations range from 34.0 to 47.7 percent.\r\n\r\nDischarge estimates determined from the systematic records for the current study are, on average, larger in magnitude than those from a previous study for the highest percent chance exceedances (50 and 20 percent) and tend to be smaller than those from the previous study for the lower percent chance exceedances when all sites are considered as a group. For example, mean differences for sites in the Piedmont hydrologic region range from positive 0.5 percent for the 50-percent chance exceedance flow to negative 4.6 percent for the 0.2-percent chance exceedance flow when stations are grouped by hydrologic region. Similarly for the same hydrologic region, median differences range from positive 0.9 percent for the 50-percent chance exceedance flow to negative 7.1 percent for the 0.2-percent chance exceedance flow. However, mean and median percentage differences between the estimates from the previous and curre","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095158","collaboration":"Prepared in cooperation with the North Carolina Department of Transportation, Division of Highways (Hydraulics Unit) and the North Carolina Department of Crime Control and Public Safety, Division of Emergency Management (Floodplain Mapping Program)","usgsCitation":"Weaver, J., Feaster, T., and Gotvald, A.J., 2009, Magnitude and Frequency of Rural Floods in the Southeastern United States, through 2006: Volume 2, North Carolina: U.S. Geological Survey Scientific Investigations Report 2009-5158, Report: vi, 113 p.; Downloadable Files, https://doi.org/10.3133/sir20095158.","productDescription":"Report: vi, 113 p.; Downloadable Files","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":125618,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5158.jpg"},{"id":416654,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20235006","text":"Scientific Investigations Report 2023–5006","linkHelpText":"- <strong><em>The methods and statistics from SIR 2009–5158 have been updated in SIR 2023–5006.</em></strong>"},{"id":13249,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5158/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.5,30 ], [ -85.5,38.5 ], [ -74.5,38.5 ], [ -74.5,30 ], [ -85.5,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6494db","contributors":{"authors":[{"text":"Weaver, J. Curtis","contributorId":42260,"corporation":false,"usgs":true,"family":"Weaver","given":"J. Curtis","affiliations":[],"preferred":false,"id":303957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":303955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303956,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}