{"pageNumber":"147","pageRowStart":"3650","pageSize":"25","recordCount":16502,"records":[{"id":70059772,"text":"70059772 - 2014 - Hydrologic connectivity of floodplains, northern Missouri: implications for management and restoration of floodplain forest communities in disturbed landscapes","interactions":[],"lastModifiedDate":"2017-05-24T14:35:52","indexId":"70059772","displayToPublicDate":"2013-12-30T10:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic connectivity of floodplains, northern Missouri: implications for management and restoration of floodplain forest communities in disturbed landscapes","docAbstract":"<p><span>Hydrologic connectivity between the channel and floodplain is thought to be a dominant factor determining floodplain processes and characteristics of floodplain forests. We explored the role of hydrologic connectivity in explaining floodplain forest community composition along streams in northern Missouri, USA. Hydrologic analyses at 20 streamgages (207–5827 km</span><sup>2</sup><span> area) document that magnitudes of 2-year return floods increase systematically with increasing drainage area whereas the average annual number and durations of floodplain-connecting events decrease. Flow durations above the active-channel shelf vary little with increasing drainage area, indicating that the active-channel shelf is in quasi-equilibrium with prevailing conditions. The downstream decrease in connectivity is associated with downstream increase in channel incision. These relations at streamflow gaging stations are consistent with regional channel disturbance patterns: channel incision increases downstream, whereas upstream reaches have either not incised or adjusted to incision by forming new equilibrium floodplains. These results provide a framework to explain landscape-scale variations in composition of floodplain forest communities in northern Missouri. Faust (</span><a class=\"link__reference js-link__reference\" title=\"Link to bibliographic citation\" rel=\"references:#rra2636-bib-0012\" href=\"http://onlinelibrary.wiley.com/doi/10.1002/rra.2636/abstract#rra2636-bib-0012\" data-mce-href=\"http://onlinelibrary.wiley.com/doi/10.1002/rra.2636/abstract#rra2636-bib-0012\">2006</a><span>) had tentatively explained increases of flood-dependent tree species, and decreases of species diversity, with a downstream increase in flood magnitude and duration. Because frequency and duration of floodplain-connecting events do not increase downstream, we hypothesize instead that increases in relative abundance of flood-dependent trees at larger drainage area result from increasing size of disturbance patches. Bank-overtopping floods at larger drainage area create large, open, depositional landforms that promoted the regeneration of shade-intolerant species. Higher tree species diversity in floodplains with small drainage areas is associated with non-incised floodplains that are frequently connected to their channels and therefore subject to greater effective hydrologic variability compared with downstream floodplains. Understanding the landscape-scale geomorphic and hydrologic controls on floodplain connectivity provides a basis for more effective management and restoration of floodplain forest communities.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.2636","usgsCitation":"Jacobson, R., and Faust, T., 2014, Hydrologic connectivity of floodplains, northern Missouri: implications for management and restoration of floodplain forest communities in disturbed landscapes: River Research and Applications, v. 30, no. 3, p. 269-286, https://doi.org/10.1002/rra.2636.","productDescription":"18 p.","startPage":"269","endPage":"286","numberOfPages":"18","ipdsId":"IP-021848","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":280549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280532,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.2636"}],"country":"United States","state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.7131,38.968 ], [ -94.7131,40.5806 ], [ -91.2415,40.5806 ], [ -91.2415,38.968 ], [ -94.7131,38.968 ] ] ] } } ] }","volume":"30","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-01-14","publicationStatus":"PW","scienceBaseUri":"52c2960ae4b040b25da903f7","contributors":{"authors":[{"text":"Jacobson, R.","contributorId":55373,"corporation":false,"usgs":true,"family":"Jacobson","given":"R.","email":"","affiliations":[],"preferred":false,"id":487771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faust, T.","contributorId":54690,"corporation":false,"usgs":true,"family":"Faust","given":"T.","email":"","affiliations":[],"preferred":false,"id":487770,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70059572,"text":"70059572 - 2014 - Spatially explicit modeling of 1992-2100 land cover and forest stand age for the conterminous United States","interactions":[],"lastModifiedDate":"2022-03-31T19:37:52.175526","indexId":"70059572","displayToPublicDate":"2013-12-23T09:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit modeling of 1992-2100 land cover and forest stand age for the conterminous United States","docAbstract":"Information on future land-use and land-cover (LULC) change is needed to analyze the impact of LULC change on ecological processes. The U.S. Geological Survey has produced spatially explicit, thematically detailed LULC projections for the conterminous United States. Four qualitative and quantitative scenarios of LULC change were developed, with characteristics consistent with the Intergovernmental Panel on Climate Change (IPCC) Special Report on 5 Emission Scenarios (SRES). The four quantified scenarios (A1B, A2, B1, and B2) served as input to the Forecasting Scenarios of Land-use Change (FORE-SCE) model. Four spatially explicit datasets consistent with scenario storylines were produced for the conterminous United States, with annual LULC maps from 1992 through 2100. The future projections are characterized by a loss of natural land covers in most scenarios, with corresponding expansion of 10 anthropogenic land uses. Along with the loss of natural land covers, remaining natural land covers experience increased fragmentation under most scenarios, with only the B2 scenario remaining relatively stable in both proportion of remaining natural land covers and basic fragmentation measures. Forest stand age was also modeled. By 2100, scenarios and ecoregions with heavy forest cutting have relatively lower mean stand ages compared to those with less 15 forest cutting. Stand ages differ substantially between unprotected and protected forest lands, as well as between different forest classes. The modeled data were compared to the National Land Cover Database (NLCD) and other data sources to assess model characteristics. The consistent, spatially explicit, and thematically detailed LULC projections and the associated forest stand age data layers have been used to analyze LULC impacts on carbon and greenhouse gas fluxes, 20 biodiversity, climate and weather variability, hydrologic change, and other ecological processes.","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-1245.1","usgsCitation":"Sohl, T.L., Sayler, K., Bouchard, M., Reker, R.R., Friesz, A.M., Bennett, S.L., Sleeter, B.M., Sleeter, R., Wilson, T., Soulard, C.E., Knuppe, M., and Van Hofwegen, T., 2014, Spatially explicit modeling of 1992-2100 land cover and forest stand age for the conterminous United States: Ecological Applications, v. 24, no. 5, p. 1015-1036, https://doi.org/10.1890/13-1245.1.","productDescription":"22 p. ; Data release","startPage":"1015","endPage":"1036","numberOfPages":"22","ipdsId":"IP-042928","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473322,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/13-1245.1","text":"Publisher Index Page"},{"id":280500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397953,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95AK9HP","text":"USGS data release","description":"USGS data release","linkHelpText":"Conterminous United States Land Cover Projections - 1992 to 2100"}],"country":"United 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 \"}}]}","volume":"24","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b95be3e4b0a747b3e7e7b1","contributors":{"authors":[{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":487685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":487687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bouchard, Michelle 0000-0002-6353-3491 mbouchard@usgs.gov","orcid":"https://orcid.org/0000-0002-6353-3491","contributorId":3765,"corporation":false,"usgs":true,"family":"Bouchard","given":"Michelle","email":"mbouchard@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":487689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reker, Ryan R. 0000-0001-7524-0082 rreker@usgs.gov","orcid":"https://orcid.org/0000-0001-7524-0082","contributorId":174136,"corporation":false,"usgs":true,"family":"Reker","given":"Ryan","email":"rreker@usgs.gov","middleInitial":"R.","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":487693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Friesz, Aaron M. 0000-0003-4096-3824 afriesz@usgs.gov","orcid":"https://orcid.org/0000-0003-4096-3824","contributorId":5943,"corporation":false,"usgs":true,"family":"Friesz","given":"Aaron","email":"afriesz@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":487691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennett, Stacie L.","contributorId":42820,"corporation":false,"usgs":true,"family":"Bennett","given":"Stacie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":487695,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487688,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sleeter, Rachel R.","contributorId":7946,"corporation":false,"usgs":true,"family":"Sleeter","given":"Rachel R.","affiliations":[],"preferred":false,"id":487692,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":487686,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":725409,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Knuppe, Michelle 0000-0002-0374-9477","orcid":"https://orcid.org/0000-0002-0374-9477","contributorId":42125,"corporation":false,"usgs":true,"family":"Knuppe","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":487694,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Van Hofwegen, Travis tvanhofwegen@usgs.gov","contributorId":5529,"corporation":false,"usgs":true,"family":"Van Hofwegen","given":"Travis","email":"tvanhofwegen@usgs.gov","affiliations":[],"preferred":true,"id":487690,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70059128,"text":"70059128 - 2014 - Impact of climate variability on runoff in the north-central United States","interactions":[],"lastModifiedDate":"2017-10-12T20:15:37","indexId":"70059128","displayToPublicDate":"2013-12-17T12:03:53","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Impact of climate variability on runoff in the north-central United States","docAbstract":"Large changes in runoff in the north-central United States have occurred during the past century, with larger floods and increases in runoff tending to occur from the 1970s to the present. The attribution of these changes is a subject of much interest. Long-term precipitation, temperature, and streamflow records were used to compare changes in precipitation and potential evapotranspiration (PET) to changes in runoff within 25 stream basins. The basins studied were organized into four groups, each one representing basins similar in topography, climate, and historic patterns of runoff. Precipitation, PET, and runoff data were adjusted for near-decadal scale variability to examine longer-term changes. A nonlinear water-balance analysis shows that changes in precipitation and PET explain the majority of multidecadal spatial/temporal variability of runoff and flood magnitudes, with precipitation being the dominant driver. Historical changes in climate and runoff in the region appear to be more consistent with complex transient shifts in seasonal climatic conditions than with gradual climate change. A portion of the unexplained variability likely stems from land-use change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrologic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HE.1943-5584.0000775","usgsCitation":"Ryberg, K.R., Lin, W., and Vecchia, A.V., 2014, Impact of climate variability on runoff in the north-central United States: Journal of Hydrologic Engineering, v. 19, no. 1, p. 148-158, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000775.","productDescription":"11 p.","startPage":"148","endPage":"158","ipdsId":"IP-036799","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":280403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, South Dakota","volume":"19","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd620be4b0b290850fdec0","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Wei","contributorId":93805,"corporation":false,"usgs":true,"family":"Lin","given":"Wei","email":"","affiliations":[],"preferred":false,"id":487477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":487476,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70058543,"text":"70058543 - 2014 - Ecological limit functions relating fish community response to hydrologic departures of the ecological flow regime in the Tennessee River basin, United States","interactions":[],"lastModifiedDate":"2016-12-14T11:37:49","indexId":"70058543","displayToPublicDate":"2013-12-09T11:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological limit functions relating fish community response to hydrologic departures of the ecological flow regime in the Tennessee River basin, United States","docAbstract":"<div class=\"para\"><p>Ecological limit functions relating streamflow and aquatic ecosystems remain elusive despite decades of research. We investigated functional relationships between species richness and changes in streamflow characteristics at 662 fish sampling sites in the Tennessee River basin. Our approach included the following: (1) a brief summary of relevant literature on functional relations between fish and streamflow, (2) the development of ecological limit functions that describe the strongest discernible relationships between fish species richness and streamflow characteristics, (3) the evaluation of proposed definitions of hydrologic reference conditions, and (4) an investigation of the internal structures of wedge-shaped distributions underlying ecological limit functions.</p><p>Twenty-one ecological limit functions were developed across three ecoregions that relate the species richness of 11 fish groups and departures from hydrologic reference conditions using multivariate and quantile regression methods. Each negatively sloped function is described using up to four streamflow characteristics expressed in terms of cumulative departure from hydrologic reference conditions. Negative slopes indicate increased departure results in decreased species richness.</p><p>Sites with the highest measured fish species richness generally had near-reference hydrologic conditions for a given ecoregion. Hydrology did not generally differ between sites with the highest and lowest fish species richness, indicating that other environmental factors likely limit species richness at sites with reference hydrology.</p><p>Use of ecological limit functions to make decisions regarding proposed hydrologic regime changes, although commonly presented as a management tool, is not as straightforward or informative as often assumed. We contend that statistical evaluation of the internal wedge structure below limit functions may provide a probabilistic understanding of how aquatic ecology is influenced by altered hydrology and may serve as the basis for evaluating the potential effect of proposed hydrologic changes.</p></div>","language":"English","publisher":"John Wiley & Sons, Ltd.","doi":"10.1002/eco.1460","usgsCitation":"Knight, R., Murphy, J.C., Wolfe, W., Saylor, C.F., and Wales, A.K., 2014, Ecological limit functions relating fish community response to hydrologic departures of the ecological flow regime in the Tennessee River basin, United States: Ecohydrology, v. 7, no. 5, p. 1262-1280, https://doi.org/10.1002/eco.1460.","productDescription":"19 p.","startPage":"1262","endPage":"1280","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044901","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":473325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.1460","text":"Publisher Index Page"},{"id":280230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280223,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eco.1460"}],"country":"United States","otherGeospatial":"Tennessee River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.59374999999999,\n              33.925129700072\n            ],\n            [\n              -88.59374999999999,\n              37.3002752813443\n            ],\n            [\n              -81.23291015625,\n              37.3002752813443\n            ],\n            [\n              -81.23291015625,\n              33.925129700072\n            ],\n            [\n              -88.59374999999999,\n              33.925129700072\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-12-20","publicationStatus":"PW","scienceBaseUri":"52a717f2e4b0de1a6d2d96f3","contributors":{"authors":[{"text":"Knight, Rodney R. rrknight@usgs.gov","contributorId":2272,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney R.","email":"rrknight@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolfe, William J. wjwolfe@usgs.gov","contributorId":1888,"corporation":false,"usgs":true,"family":"Wolfe","given":"William J.","email":"wjwolfe@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saylor, Charles F.","contributorId":29731,"corporation":false,"usgs":true,"family":"Saylor","given":"Charles","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":487163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wales, Amy K.","contributorId":108021,"corporation":false,"usgs":true,"family":"Wales","given":"Amy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":487164,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70058014,"text":"70058014 - 2014 - Integration of stable carbon isotope, microbial community, dissolved hydrogen gas, and <sup>2</sup>H<sub>H<sub>2</sub>O</sub> tracer data to assess bioaugmentation for chlorinated ethene degradation in fractured rocks","interactions":[],"lastModifiedDate":"2018-09-18T16:15:49","indexId":"70058014","displayToPublicDate":"2013-12-05T09:56:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Integration of stable carbon isotope, microbial community, dissolved hydrogen gas, and <sup>2</sup>H<sub>H<sub>2</sub>O</sub> tracer data to assess bioaugmentation for chlorinated ethene degradation in fractured rocks","docAbstract":"An in situ bioaugmentation (BA) experiment was conducted to understand processes controlling microbial dechlorination of trichloroethene (TCE) in groundwater at the Naval Air Warfare Center (NAWC), West Trenton, NJ. In the BA experiment, an electron donor (emulsified vegetable oil and sodium lactate) and a chloro-respiring microbial consortium were injected into a well in fractured mudstone of Triassic age. Water enriched in <sup>2</sup>H was also injected as a tracer of the BA solution, to monitor advective transport processes. The changes in concentration and the δ<sup>13</sup>C of TCE, cis-dichloroethene (cis-DCE), and vinyl chloride (VC); the δ<sup>2</sup>H of water; changes in the abundance of the microbial communities; and the concentration of dissolved H2 gas compared to pre- test conditions, provided multiple lines of evidence that enhanced biodegradation occurred in the injection well and in two downgradient wells. For those wells where the biodegradation was stimulated intensively, the sum of the molar chlorinated ethene (CE) concentrations in post-BA water was higher than that of the sum of the pre-BA background molar CE concentrations. The concentration ratios of TCE/(cis-DCE + VC) indicated that the increase in molar CE concentration may result from additional TCE mobilized from the rock matrix in response to the oil injection or due to desorption/diffusion. The stable carbon isotope mass-balance calculations show that the weighted average <sup>13</sup>C isotope of the CEs was enriched for around a year compared to the background value in a two year monitoring period, an effective indication that dechlorination of VC was occurring. Insights gained from this study can be applied to efforts to use BA in other fractured rock systems. The study demonstrates that a BA approach can substantially enhance in situ bioremediation not only in fractures connected to the injection well, but also in the rock matrix around the well due to processes such as diffusion and desorption. Because the effect of the BA was intensive only in wells where an amendment was distributed during injection, it is necessary to adequately distribute the amendments throughout the fractured rock to achieve substantial bioremediation. The slowdown in BA effect after a year is due to some extend to the decrease abundant of appropriate microbes, but more likely the decreased concentration of electron donor.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2013.10.004","usgsCitation":"Revesz, K.M., Lollar, B.S., Kirshtein, J.D., Tiedeman, C.R., Imbrigiotta, T., Goode, D., Shapiro, A.M., Voytek, M.A., Lancombe, P.J., and Busenberg, E., 2014, Integration of stable carbon isotope, microbial community, dissolved hydrogen gas, and <sup>2</sup>H<sub>H<sub>2</sub>O</sub> tracer data to assess bioaugmentation for chlorinated ethene degradation in fractured rocks: Journal of Contaminant Hydrology, v. 156, p. 62-77, https://doi.org/10.1016/j.jconhyd.2013.10.004.","productDescription":"16 p.","startPage":"62","endPage":"77","numberOfPages":"16","ipdsId":"IP-044573","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":280190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280189,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2013.10.004"}],"country":"United States","state":"New Jersey","city":"Ewing Township","otherGeospatial":"Naval Air Warfare Center, West Trenton","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.838496,40.209396 ], [ -74.838496,40.283997 ], [ -74.725712,40.283997 ], [ -74.725712,40.209396 ], [ -74.838496,40.209396 ] ] ] } } ] }","volume":"156","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a1a089e4b02938ec05883c","contributors":{"authors":[{"text":"Revesz, Kinga M.","contributorId":18258,"corporation":false,"usgs":true,"family":"Revesz","given":"Kinga","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood Lollar, Barbara","contributorId":18668,"corporation":false,"usgs":false,"family":"Sherwood Lollar","given":"Barbara","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":486999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirshtein, Julie D.","contributorId":26033,"corporation":false,"usgs":true,"family":"Kirshtein","given":"Julie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":487002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Imbrigiotta, Thomas E. 0000-0003-1716-4768 timbrig@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-4768","contributorId":2466,"corporation":false,"usgs":true,"family":"Imbrigiotta","given":"Thomas E.","email":"timbrig@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486996,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":486994,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487003,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lancombe, Pierre J.","contributorId":33614,"corporation":false,"usgs":true,"family":"Lancombe","given":"Pierre","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":487001,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":486995,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70058431,"text":"70058431 - 2014 - Precise determination of δ<sup>88</sup>Sr in rocks, minerals, and waters by double-spike TIMS: A powerful tool in the study of chemical, geologic, hydrologic and biologic processes","interactions":[],"lastModifiedDate":"2013-12-05T10:25:37","indexId":"70058431","displayToPublicDate":"2013-12-04T10:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2155,"text":"Journal of Analytical Atomic Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Precise determination of δ<sup>88</sup>Sr in rocks, minerals, and waters by double-spike TIMS: A powerful tool in the study of chemical, geologic, hydrologic and biologic processes","docAbstract":"We present strontium isotopic (<sup>88</sup>Sr/<sup>86</sup>Sr and <sup>87</sup>Sr/<sup>86</sup>Sr) results obtained by <sup>87</sup>Sr–<sup>84</sup>Sr double spike thermal ionization mass-spectrometry (DS-TIMS) for several standards as well as natural water samples and mineral samples of abiogenic and biogenic origin. The detailed data reduction algorithm and a user-friendly Sr-specific stand-alone computer program used for the spike calibration and the data reduction are also presented. Accuracy and precision of our δ<sup>88</sup>Sr measurements, calculated as permil (‰) deviations from the NIST SRM-987 standard, were evaluated by analyzing the NASS-6 seawater standard, which yielded δ<sup>88</sup>Sr = 0.378 ± 0.009‰. The first DS-TIMS data for the NIST SRM-607 potassium feldspar standard and for several US Geological Survey carbonate, phosphate, and silicate standards (EN-1, MAPS-4, MAPS-5, G-3, BCR-2, and BHVO-2) are also reported. Data obtained during this work for Sr-bearing solids and natural waters show a range of δ<sup>88</sup>Sr values of about 2.4‰, the widest observed so far in terrestrial materials. This range is easily resolvable analytically because the demonstrated external error (±SD, standard deviation) for measured δ<sup>88</sup>Sr values is typically ≤0.02‰. It is shown that the “true” <sup>87</sup>Sr/<sup>86</sup>Sr value obtained by the DS-TIMS or any other external normalization method combines radiogenic and mass-dependent mass-fractionation effects, which cannot be separated. Therefore, the “true” <sup>87</sup>Sr/<sup>86</sup>Sr and the δ<sup>87</sup>Sr parameter derived from it are not useful isotope tracers. Data presented in this paper for a wide range of naturally occurring sample types demonstrate the potential of the δ<sup>88</sup>Sr isotope tracer in combination with the traditional radiogenic <sup>87</sup>Sr/<sup>86</sup>Sr tracer for studying a variety of biological, hydrological, and geological processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Analytical Atomic Spectrometry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/C3JA50310K","usgsCitation":"Neymark, L.A., Premo, W.R., Mel’nikov, N.N., and Emsbo, P., 2014, Precise determination of δ<sup>88</sup>Sr in rocks, minerals, and waters by double-spike TIMS: A powerful tool in the study of chemical, geologic, hydrologic and biologic processes: Journal of Analytical Atomic Spectrometry, v. 29, p. 65-75, https://doi.org/10.1039/C3JA50310K.","productDescription":"11 p.","startPage":"65","endPage":"75","numberOfPages":"11","ipdsId":"IP-050748","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":280192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280191,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1039/C3JA50310K"}],"volume":"29","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a1aea5e4b02938ec05c900","contributors":{"authors":[{"text":"Neymark, Leonid A. lneymark@usgs.gov","contributorId":532,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid","email":"lneymark@usgs.gov","middleInitial":"A.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":487037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Premo, Wayne R. 0000-0001-9904-4801 wpremo@usgs.gov","orcid":"https://orcid.org/0000-0001-9904-4801","contributorId":1697,"corporation":false,"usgs":true,"family":"Premo","given":"Wayne","email":"wpremo@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":487039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mel’nikov, Nikolay N.","contributorId":37246,"corporation":false,"usgs":true,"family":"Mel’nikov","given":"Nikolay","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":487040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Emsbo, Poul 0000-0001-9421-201X pemsbo@usgs.gov","orcid":"https://orcid.org/0000-0001-9421-201X","contributorId":997,"corporation":false,"usgs":true,"family":"Emsbo","given":"Poul","email":"pemsbo@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":487038,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70059149,"text":"70059149 - 2014 - Improving groundwater predictions utilizing seasonal precipitation forecasts from general circulation models forced with sea surface temperature forecasts","interactions":[],"lastModifiedDate":"2013-12-19T09:49:32","indexId":"70059149","displayToPublicDate":"2013-12-01T09:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Improving groundwater predictions utilizing seasonal precipitation forecasts from general circulation models forced with sea surface temperature forecasts","docAbstract":"Recent studies have found a significant association between climatic variability and basin hydroclimatology, particularly groundwater levels, over the southeast United States. The research reported in this paper evaluates the potential in developing 6-month-ahead groundwater-level forecasts based on the precipitation forecasts from ECHAM 4.5 General Circulation Model Forced with Sea Surface Temperature forecasts. Ten groundwater wells and nine streamgauges from the USGS Groundwater Climate Response Network and Hydro-Climatic Data Network were selected to represent groundwater and surface water flows, respectively, having minimal anthropogenic influences within the Flint River Basin in Georgia, United States. The writers employ two low-dimensional models [principle component regression (PCR) and canonical correlation analysis (CCA)] for predicting groundwater and streamflow at both seasonal and monthly timescales. Three modeling schemes are considered at the beginning of January to predict winter (January, February, and March) and spring (April, May, and June) streamflow and groundwater for the selected sites within the Flint River Basin. The first scheme (model 1) is a null model and is developed using PCR for every streamflow and groundwater site using previous 3-month observations (October, November, and December) available at that particular site as predictors. Modeling schemes 2 and 3 are developed using PCR and CCA, respectively, to evaluate the role of precipitation forecasts in improving monthly and seasonal groundwater predictions. Modeling scheme 3, which employs a CCA approach, is developed for each site by considering observed groundwater levels from nearby sites as predictands. The performance of these three schemes is evaluated using two metrics (correlation coefficient and relative RMS error) by developing groundwater-level forecasts based on leave-five-out cross-validation. Results from the research reported in this paper show that using precipitation forecasts in climate models improves the ability to predict the interannual variability of winter and spring streamflow and groundwater levels over the basin. However, significant conditional bias exists in all the three modeling schemes, which indicates the need to consider improved modeling schemes as well as the availability of longer time-series of observed hydroclimatic information over the basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrologic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HE.1943-5584.0000776","usgsCitation":"Almanaseer, N., Sankarasubramanian, A., and Bales, J., 2014, Improving groundwater predictions utilizing seasonal precipitation forecasts from general circulation models forced with sea surface temperature forecasts: Journal of Hydrologic Engineering, v. 19, no. 1, p. 87-98, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000776.","productDescription":"12 p.","startPage":"87","endPage":"98","numberOfPages":"12","ipdsId":"IP-042885","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":280427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280411,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000776"}],"country":"United States","state":"Georgia","otherGeospatial":"Flint River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.0,31.0 ], [ -85.0,33.5 ], [ -83.5,33.5 ], [ -83.5,31.0 ], [ -85.0,31.0 ] ] ] } } ] }","volume":"19","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6230e4b0b290850fe033","contributors":{"authors":[{"text":"Almanaseer, Naser","contributorId":13732,"corporation":false,"usgs":true,"family":"Almanaseer","given":"Naser","email":"","affiliations":[],"preferred":false,"id":487497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankarasubramanian, A.","contributorId":23062,"corporation":false,"usgs":true,"family":"Sankarasubramanian","given":"A.","affiliations":[],"preferred":false,"id":487498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bales, Jerad","contributorId":47390,"corporation":false,"usgs":true,"family":"Bales","given":"Jerad","affiliations":[],"preferred":false,"id":487499,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048309,"text":"70048309 - 2014 - Mycotoxins: diffuse and point source contributions of natural contaminants of emerging concern to streams","interactions":[],"lastModifiedDate":"2018-09-14T16:04:03","indexId":"70048309","displayToPublicDate":"2013-11-27T10:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mycotoxins: diffuse and point source contributions of natural contaminants of emerging concern to streams","docAbstract":"To determine the prevalence of mycotoxins in streams, 116 water samples from 32 streams and three wastewater treatment plant effluents were collected in 2010 providing the broadest investigation on the spatial and temporal occurrence of mycotoxins in streams conducted in the United States to date. Out of the 33 target mycotoxins measured, nine were detected at least once during this study. The detections of mycotoxins were nearly ubiquitous during this study even though the basin size spanned four orders of magnitude. At least one mycotoxin was detected in 94% of the 116 samples collected. Deoxynivalenol was the most frequently detected mycotoxin (77%), followed by nivalenol (59%), beauvericin (43%), zearalenone (26%), β-zearalenol (20%), 3-acetyl-deoxynivalenol (16%), α-zearalenol (10%), diacetoxyscirpenol (5%), and verrucarin A (1%). In addition, one or more of the three known estrogenic compounds (i.e. zearalenone, α-zearalenol, and β-zearalenol) were detected in 43% of the samples, with maximum concentrations substantially higher than observed in previous research. While concentrations were generally low (i.e. < 50 ng/L) during this study, concentrations exceeding 1000 ng/L were measured during spring snowmelt conditions in agricultural settings and in wastewater treatment plant effluent. Results of this study suggest that both diffuse (e.g. release from infected plants and manure applications from exposed livestock) and point (e.g. wastewater treatment plants and food processing plants) sources are important environmental pathways for mycotoxin transport to streams. The ecotoxicological impacts from the long-term, low-level exposures to mycotoxins alone or in combination with complex chemical mixtures are unknown","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.09.062","usgsCitation":"Kolpin, D.W., Schenzel, J., Meyer, M.T., Phillips, P., Hubbard, L.E., Scott, T., and Bucheli, T.D., 2014, Mycotoxins: diffuse and point source contributions of natural contaminants of emerging concern to streams: Science of the Total Environment, v. 470-471, p. 669-676, https://doi.org/10.1016/j.scitotenv.2013.09.062.","productDescription":"8 p.","startPage":"669","endPage":"676","ipdsId":"IP-049901","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":279858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279857,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.09.062"}],"volume":"470-471","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529716d6e4b08e44bf66fb83","contributors":{"authors":[{"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":484286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenzel, Judith","contributorId":36842,"corporation":false,"usgs":true,"family":"Schenzel","given":"Judith","email":"","affiliations":[],"preferred":false,"id":484289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":484284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, Tia-Marie 0000-0002-5677-0544 tia-mariescott@usgs.gov","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":5122,"corporation":false,"usgs":true,"family":"Scott","given":"Tia-Marie","email":"tia-mariescott@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484288,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bucheli, Thomas D.","contributorId":71455,"corporation":false,"usgs":true,"family":"Bucheli","given":"Thomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":484290,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047928,"text":"70047928 - 2014 - Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams","interactions":[],"lastModifiedDate":"2018-09-18T16:28:36","indexId":"70047928","displayToPublicDate":"2013-08-30T15:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams","docAbstract":"Fluids co-produced with oil and gas production (produced waters) are often brines that contain elevated concentrations of bromide. Bromide is an important precursor of several toxic disinfection by-products (DBPs) and the treatment of produced water may lead to more brominated DBPs. To determine if wastewater treatment plants that accept produced waters discharge greater amounts of brominated DBPs, water samples were collected in Pennsylvania from four sites along a large river including an upstream site, a site below a publicly owned wastewater treatment plant (POTW) outfall (does not accept produced water), a site below an oil and gas commercial wastewater treatment plant (CWT) outfall, and downstream of the POTW and CWT. Of 29 DBPs analyzed, the site at the POTW outfall had the highest number detected (six) ranging in concentration from 0.01 to 0.09 μg L<sup>− 1</sup> with a similar mixture of DBPs that have been detected at POTW outfalls elsewhere in the United States. The DBP profile at the CWT outfall was much different, although only two DBPs, dibromochloronitromethane (DBCNM) and chloroform, were detected, DBCNM was found at relatively high concentrations (up to 8.5 μg L<sup>− 1</sup>). The water at the CWT outfall also had a mixture of inorganic and organic precursors including elevated concentrations of bromide (75 mg L<sup>− 1</sup>) and other organic DBP precursors (phenol at 15 μg L<sup>− 1</sup>). To corroborate these DBP results, samples were collected in Pennsylvania from additional POTW and CWT outfalls that accept produced waters. The additional CWT also had high concentrations of DBCNM (3.1 μg L<sup>− 1</sup>) while the POTWs that accept produced waters had elevated numbers (up to 15) and concentrations of DBPs, especially brominated and iodinated THMs (up to 12 μg L<sup>− 1</sup> total THM concentration). Therefore, produced water brines that have been disinfected are potential sources of DBPs along with DBP precursors to streams wherever these wastewaters are discharged.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.08.008","usgsCitation":"Hladik, M., Focazio, M.J., and Engle, M., 2014, Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams: Science of the Total Environment, v. 466-467, p. 1085-1093, https://doi.org/10.1016/j.scitotenv.2013.08.008.","productDescription":"9 p.","startPage":"1085","endPage":"1093","ipdsId":"IP-045051","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":277192,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.08.008"},{"id":277215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"466-467","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5221b0d2e4b001cbb8a34e8f","contributors":{"authors":[{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":483315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":483316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engle, Mark 0000-0001-5258-7374","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":9364,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","affiliations":[],"preferred":false,"id":483317,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047589,"text":"70047589 - 2014 - Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions","interactions":[],"lastModifiedDate":"2013-08-26T11:43:19","indexId":"70047589","displayToPublicDate":"2013-08-13T13:24:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions","docAbstract":"Application of numerical models is a common practice in the environmental field for investigation and prediction of natural and anthropogenic processes. However, process knowledge, parameter identifiability, sensitivity, and uncertainty analyses are still a challenge for large and complex mathematical models such as the hydrological/water quality model, Soil and Water Assessment Tool (SWAT). In this study, the previously developed R program language-SWAT-Flexible Modeling Environment (R-SWAT-FME) was improved to support multiple model variables and objectives at multiple time steps (i.e., daily, monthly, and annually). This expansion is significant because there is usually more than one variable (e.g., water, nutrients, and pesticides) of interest for environmental models like SWAT. To further facilitate its easy use, we also simplified its application requirements without compromising its merits, such as the user-friendly interface. To evaluate the performance of the improved framework, we used a case study focusing on both streamflow and nitrate nitrogen in the Upper Iowa River Basin (above Marengo) in the United States. Results indicated that the R-SWAT-FME performs well and is comparable to the built-in auto-calibration tool in multi-objective model calibration. Overall, the enhanced R-SWAT-FME can be useful for the SWAT community, and the methods we used can also be valuable for wrapping potential R packages with other environmental models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.07.048","usgsCitation":"Wu, Y., and Liu, S., 2014, Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions: Science of the Total Environment, v. 466-467, p. 455-466, https://doi.org/10.1016/j.scitotenv.2013.07.048.","productDescription":"12 p.","startPage":"455","endPage":"466","ipdsId":"IP-044026","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":276578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276577,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.07.048"}],"volume":"466-467","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81eee4b0d6ca46067dac","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":482475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":482474,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046213,"text":"70046213 - 2014 - Mercury cycling in agricultural and managed wetlands of California: experimental evidence of vegetation-driven changes in sediment biogeochemistry and methylmercury production","interactions":[],"lastModifiedDate":"2018-09-18T16:23:32","indexId":"70046213","displayToPublicDate":"2013-07-29T15:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mercury cycling in agricultural and managed wetlands of California: experimental evidence of vegetation-driven changes in sediment biogeochemistry and methylmercury production","docAbstract":"The role of live vegetation in sediment methylmercury (MeHg) production and associated biogeochemistry was examined in three types of agricultural wetlands (domesticated or white rice, wild rice, and fallow fields) and adjacent managed natural wetlands (cattail- and bulrush or tule-dominated) in the Yolo Bypass region of California's Central Valley, USA. During the active growing season for each wetland, a vegetated:de-vegetated paired plot experiment demonstrated that the presence of live plants enhanced microbial rates of mercury methylation by 20 to 669% (median = 280%) compared to de-vegetated plots. Labile carbon exudation by roots appeared to be the primary mechanism by which microbial methylation was enhanced in the presence of vegetation. Pore-water acetate (pw[Ac]) decreased significantly with de-vegetation (63 to 99%) among all wetland types, and within cropped fields, pw[Ac] was correlated with both root density (r = 0.92) and microbial Hg(II) methylation (k<sub>meth</sub>. r = 0.65). Sediment biogeochemical responses to de-vegetation were inconsistent between treatments for “reactive Hg” (Hg(II)R), as were reduced sulfur and sulfate reduction rates. Sediment MeHg concentrations in vegetated plots were double those of de-vegetated plots (median = 205%), due in part to enhanced microbial MeHg production in the rhizosphere, and in part to rhizoconcentration via transpiration-driven pore-water transport. Pore-water concentrations of chloride, a conservative tracer, were elevated (median = 22%) in vegetated plots, suggesting that the higher concentrations of other constituents around roots may also be a function of rhizoconcentration rather than microbial activity alone. Elevated pools of amorphous iron (Fe) in vegetated plots indicate that downward redistribution of oxic surface waters through transpiration acts as a stimulant to Fe(III)-reduction through oxidation of Fe(II)pools. These data suggest that vegetation significantly affected rhizosphere biogeochemistry through organic exudation and transpiration-driven concentration of pore-water constituents and oxidation of reduced compounds. While the relative role of vegetation varied among wetland types, macrophyte activity enhanced MeHg production.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.05.028","usgsCitation":"Windham-Myers, L., Marvin-DiPasquale, M., Stricker, C.A., Agee, J.L., Kieu, L.H., and Kakouros, E., 2014, Mercury cycling in agricultural and managed wetlands of California: experimental evidence of vegetation-driven changes in sediment biogeochemistry and methylmercury production: Science of the Total Environment, v. 484, p. 300-307, https://doi.org/10.1016/j.scitotenv.2013.05.028.","productDescription":"8 p.","startPage":"300","endPage":"307","numberOfPages":"8","ipdsId":"IP-045774","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":275522,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.05.028"},{"id":275523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Yolo County","otherGeospatial":"Yolo Bypass Wildlife Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.663971,38.417283 ], [ -121.663971,38.556489 ], [ -121.586037,38.556489 ], [ -121.586037,38.417283 ], [ -121.663971,38.417283 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d6e4b02e26443a9331","contributors":{"authors":[{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":479180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marvin-DiPasquale, Mark","contributorId":57423,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","affiliations":[],"preferred":false,"id":479184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":479179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Agee, Jennifer L. 0000-0002-5964-5079 jlagee@usgs.gov","orcid":"https://orcid.org/0000-0002-5964-5079","contributorId":2586,"corporation":false,"usgs":true,"family":"Agee","given":"Jennifer","email":"jlagee@usgs.gov","middleInitial":"L.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":479181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kieu, Le H. lkieu@usgs.gov","contributorId":25115,"corporation":false,"usgs":true,"family":"Kieu","given":"Le","email":"lkieu@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":479183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":479182,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70118310,"text":"70118310 - 2014 - Modeling the effects of naturally occurring organic carbon on chlorinated ethene transport to a public supply well","interactions":[],"lastModifiedDate":"2018-09-14T16:11:44","indexId":"70118310","displayToPublicDate":"2013-07-28T13:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the effects of naturally occurring organic carbon on chlorinated ethene transport to a public supply well","docAbstract":"The vulnerability of public supply wells to chlorinated ethene (CE) contamination in part depends on the availability of naturally occurring organic carbon to consume dissolved oxygen (DO) and initiate reductive dechlorination. This was quantified by building a mass balance model of the Kirkwood-Cohansey aquifer, which is widely used for public water supply in New Jersey. This model was built by telescoping a calibrated regional three-dimensional (3D) MODFLOW model to the approximate capture zone of a single public supply well that has a history of CE contamination. This local model was then used to compute a mass balance between dissolved organic carbon (DOC), particulate organic carbon (POC), and adsorbed organic carbon (AOC) that act as electron donors and DO, CEs, ferric iron, and sulfate that act as electron acceptors (EAs) using the Sequential Electron Acceptor Model in three dimensions (SEAM3D) code. SEAM3D was constrained by varying concentrations of DO and DOC entering the aquifer via recharge, varying the bioavailable fraction of POC in aquifer sediments, and comparing observed and simulated vertical concentration profiles of DO and DOC. This procedure suggests that approximately 15% of the POC present in aquifer materials is readily bioavailable. Model simulations indicate that transport of perchloroethene (PCE) and its daughter products trichloroethene (TCE), <i>cis</i>-dichloroethene (<i>cis</i>-DCE), and vinyl chloride (VC) to the public supply well is highly sensitive to the assumed bioavailable fraction of POC, concentrations of DO entering the aquifer with recharge, and the position of simulated PCE source areas in the flow field. The results are less sensitive to assumed concentrations of DOC in aquifer recharge. The mass balance approach used in this study also indicates that hydrodynamic processes such as advective mixing, dispersion, and sorption account for a significant amount of the observed natural attenuation in this system.","language":"English","publisher":"State Water Control Board","publisherLocation":"Richmond, VA","doi":"10.1111/gwat.12152","usgsCitation":"Chapelle, F.H., Kauffman, L.J., and Widdowson, M.A., 2014, Modeling the effects of naturally occurring organic carbon on chlorinated ethene transport to a public supply well: Ground Water, v. 52, no. S1, p. 76-89, https://doi.org/10.1111/gwat.12152.","productDescription":"14 p.","startPage":"76","endPage":"89","numberOfPages":"14","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":473341,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gwat.12152","text":"External Repository"},{"id":291170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291169,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12152"}],"country":"United States","state":"New Jersey","city":"Glassboro","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.168261,39.678584 ], [ -75.168261,39.73739 ], [ -75.054785,39.73739 ], [ -75.054785,39.678584 ], [ -75.168261,39.678584 ] ] ] } } ] }","volume":"52","issue":"S1","noUsgsAuthors":false,"publicationDate":"2013-12-23","publicationStatus":"PW","scienceBaseUri":"5422bb29e4b08312ac7cf079","contributors":{"authors":[{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Leon J. 0000-0003-4564-0362 lkauff@usgs.gov","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":1094,"corporation":false,"usgs":true,"family":"Kauffman","given":"Leon","email":"lkauff@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":496736,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046002,"text":"70046002 - 2014 - Surface-water and groundwater interactions in an extensively mined watershed, upper Schuylkill River, Pennsylvania, USA","interactions":[],"lastModifiedDate":"2023-06-01T17:03:35.761076","indexId":"70046002","displayToPublicDate":"2013-05-17T00:00:00","publicationYear":"2014","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":"Surface-water and groundwater interactions in an extensively mined watershed, upper Schuylkill River, Pennsylvania, USA","docAbstract":"<p>Streams crossing underground coal mines may lose flow, while abandoned mine drainage (AMD) restores flow downstream. During 2005-12, discharge from the Pine Knot Mine Tunnel, the largest AMD source in the upper Schuylkill River Basin, had near-neutral pH and elevated concentrations of iron, manganese, and sulfate. Discharge from the tunnel responded rapidly to recharge but exhibited a prolonged recession compared to nearby streams, consistent with rapid infiltration and slow release of groundwater from the mine. Downstream of the AMD, dissolved iron was attenuated by oxidation and precipitation while dissolved CO<sub>2</sub> degassed and pH increased. During high-flow conditions, the AMD and downstream waters exhibited decreased pH, iron, and sulfate with increased acidity that were modeled by mixing net-alkaline AMD with recharge or runoff having low ionic strength and low pH. Attenuation of dissolved iron within the river was least effective during high-flow conditions because of decreased transport time coupled with inhibitory effects of low pH on oxidation kinetics.</p>\n<br/>\n<p>A numerical model of groundwater flow was calibrated using groundwater levels in the Pine Knot Mine and discharge data for the Pine Knot Mine Tunnel and the West Branch Schuylkill River during a snowmelt event in January 2012. Although the calibrated model indicated substantial recharge to the mine complex took place away from streams, simulation of rapid changes in mine pool level and tunnel discharge during a high flow event in May 2012 required a source of direct recharge to the Pine Knot Mine. Such recharge produced small changes in mine pool level and rapid changes in tunnel flow rate because of extensive unsaturated storage capacity and high transmissivity within the mine complex. Thus, elimination of stream leakage could have a small effect on the annual discharge from the tunnel, but a large effect on peak discharge and associated water quality in streams.</p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.9885","usgsCitation":"Cravotta, C.A., Goode, D., Bartles, M.D., Risser, D.W., and Galeone, D.G., 2014, Surface-water and groundwater interactions in an extensively mined watershed, upper Schuylkill River, Pennsylvania, USA: Hydrological Processes, v. 28, no. 10, p. 3574-3601, https://doi.org/10.1002/hyp.9885.","productDescription":"28 p.","startPage":"3574","endPage":"3601","numberOfPages":"28","ipdsId":"IP-042703","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":272349,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Schuylkill River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.52,39.72 ], [ -80.52,42.27 ], [ -74.69,42.27 ], [ -74.69,39.72 ], [ -80.52,39.72 ] ] ] } } ] }","volume":"28","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-06-21","publicationStatus":"PW","scienceBaseUri":"51974368e4b09a9cb58d5ee2","contributors":{"authors":[{"text":"Cravotta, Charles A. III, 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":2193,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III,","email":"cravotta@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartles, Michael D.","contributorId":34405,"corporation":false,"usgs":true,"family":"Bartles","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Risser, Dennis W. 0000-0001-9597-5406 dwrisser@usgs.gov","orcid":"https://orcid.org/0000-0001-9597-5406","contributorId":898,"corporation":false,"usgs":true,"family":"Risser","given":"Dennis","email":"dwrisser@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galeone, Daniel G. 0000-0002-8007-9278 dgaleone@usgs.gov","orcid":"https://orcid.org/0000-0002-8007-9278","contributorId":2301,"corporation":false,"usgs":true,"family":"Galeone","given":"Daniel","email":"dgaleone@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478664,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70140924,"text":"70140924 - 2014 - Refocusing Mussel Watch on contaminants of emerging concern (CECs): the California pilot study (2009-10)","interactions":[],"lastModifiedDate":"2018-09-18T16:10:59","indexId":"70140924","displayToPublicDate":"2013-04-30T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Refocusing Mussel Watch on contaminants of emerging concern (CECs): the California pilot study (2009-10)","docAbstract":"<p><span>To expand the utility of the Mussel Watch Program, local, regional and state agencies in California partnered with NOAA to design a pilot study that targeted contaminants of emerging concern (CECs). Native mussels (</span><i>Mytilus</i><span><span>&nbsp;</span>spp.) from 68 stations, stratified by land use and discharge scenario, were collected in 2009&ndash;10 and analyzed for 167 individual pharmaceuticals, industrial and commercial chemicals and current use pesticides. Passive sampling devices (PSDs) and caged<span>&nbsp;</span></span><i>Mytilus</i><span><span>&nbsp;</span>were co-deployed to expand the list of CECs, and to assess the ability of PSDs to mimic bioaccumulation by<span>&nbsp;</span></span><i>Mytilus</i><span>. A performance-based quality assurance/quality control (QA/QC) approach was developed to ensure a high degree of data quality, consistency and comparability. Data management and analysis were streamlined and standardized using automated software tools. This pioneering study will help shape future monitoring efforts in California&rsquo;s coastal ecosystems, while serving as a model for monitoring CECs within the region and across the nation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2013.04.027","usgsCitation":"Maruya, K.A., Dodder, N.G., Schaffner, R.A., Weisberg, S., Gregorio, D., Klosterhaus, S., Alvarez, D.A., Furlong, E.T., Kimbrough, K.L., Lauenstein, G.G., and Christensen, J., 2014, Refocusing Mussel Watch on contaminants of emerging concern (CECs): the California pilot study (2009-10): Marine Pollution Bulletin, v. 81, no. 2, p. 334-339, https://doi.org/10.1016/j.marpolbul.2013.04.027.","productDescription":"6 p.","startPage":"334","endPage":"339","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059987","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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,{"id":70041754,"text":"70041754 - 2014 - A method for estimating spatially variable seepage and hydrualic conductivity in channels with very mild slopes","interactions":[],"lastModifiedDate":"2013-12-23T09:54:59","indexId":"70041754","displayToPublicDate":"2012-12-13T00:00:00","publicationYear":"2014","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":"A method for estimating spatially variable seepage and hydrualic conductivity in channels with very mild slopes","docAbstract":"Infiltration along ephemeral channels plays an important role in groundwater recharge in arid regions. A model is presented for estimating spatial variability of seepage due to streambed heterogeneity along channels based on measurements of streamflow-front velocities in initially dry channels. The diffusion-wave approximation to the Saint-Venant equations, coupled with Philip's equation for infiltration, is connected to the groundwater model MODFLOW and is calibrated by adjusting the saturated hydraulic conductivity of the channel bed. The model is applied to portions of two large water delivery canals, which serve as proxies for natural ephemeral streams. Estimated seepage rates compare well with previously published values. Possible sources of error stem from uncertainty in Manning's roughness coefficients, soil hydraulic properties and channel geometry. Model performance would be most improved through more frequent longitudinal estimates of channel geometry and thalweg elevation, and with measurements of stream stage over time to constrain wave timing and shape. This model is a potentially valuable tool for estimating spatial variability in longitudinal seepage along intermittent and ephemeral channels over a wide range of bed slopes and the influence of seepage rates on groundwater levels.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken , NJ","doi":"10.1002/hyp.9545","usgsCitation":"Shanafield, M., Niswonger, R., Prudic, D.E., Pohll, G., Susfalk, R., and Panday, S., 2014, A method for estimating spatially variable seepage and hydrualic conductivity in channels with very mild slopes: Hydrological Processes, v. 28, no. 1, p. 51-61, https://doi.org/10.1002/hyp.9545.","productDescription":"11 p.","startPage":"51","endPage":"61","ipdsId":"IP-042359","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":263984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263983,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.9545"}],"volume":"28","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-17","publicationStatus":"PW","scienceBaseUri":"50cb5758e4b09e092d6f03cd","contributors":{"authors":[{"text":"Shanafield, Margaret","contributorId":106772,"corporation":false,"usgs":true,"family":"Shanafield","given":"Margaret","affiliations":[],"preferred":false,"id":470167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":470163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prudic, David E. deprudic@usgs.gov","contributorId":3430,"corporation":false,"usgs":true,"family":"Prudic","given":"David","email":"deprudic@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pohll, Greg","contributorId":65355,"corporation":false,"usgs":true,"family":"Pohll","given":"Greg","affiliations":[],"preferred":false,"id":470164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Susfalk, Richard","contributorId":72274,"corporation":false,"usgs":true,"family":"Susfalk","given":"Richard","email":"","affiliations":[],"preferred":false,"id":470165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Panday, Sorab","contributorId":100513,"corporation":false,"usgs":true,"family":"Panday","given":"Sorab","affiliations":[],"preferred":false,"id":470166,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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The tool uses data consisting of land-surface elevation, tables of stage/volume and stage/area, and delineated parcel boundaries to produce maps (data layers) of inundated areas and areas that meet the habitat criteria. The tool can be run in a Single-Time Scenario mode or in a Time-Series Scenario mode, which uses an input file of dates and associated stages. The spreadsheet part of the tool uses a macro to process the results from the graphical user interface to create tables and graphs of inundated water volume, inundated area, dry area, and mean water depth for each land parcel based on the user-specified stage. The macro also creates tables and graphs of the area, perimeter, and number of polygons comprising the user-specified habitat areas within each parcel.</p><p>The Shoreline Management Tool is highly transferable, using easily generated or readily available data. The capabilities of the tool are demonstrated using data from the lower Wood River Valley adjacent to Upper Klamath and Agency Lakes in southern Oregon.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121247","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Snyder, D.T., Haluska, T.L., and Respini-Irwin, D., 2013, The Shoreline Management Tool—An ArcMap tool for analyzing water depth, inundated area, volume, and selected habitats, with an example for the lower Wood River Valley, Oregon: U.S. Geological Survey Open-File Report 2012–1247, 86 p. 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Required input data must be prepared by the users as described in the report. Example Python scripts are provided to assist with the data preparation. Includes all ancillary files except those specific to the lower Wood River Valley example."},{"id":371167,"rank":6,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_NAVD88_OFR2012-1247_v20130410.zip","text":"Example version for the Lower Wood River Valley, Oregon - NAVD88","size":"1.9 GB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Contains all required data for use in the lower Wood River Valley of southern Oregon. Ready to run. Utilizes the North American Vertical Datum of 1988 (NAVD88) for elevation reference. Useful for training purposes or examination of input datasets and output results. Includes all ancillary files."},{"id":371168,"rank":7,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_NGVD29_OFR2012-1247_v20130410.zip","text":"Example version for the Lower Wood River Valley, Oregon - NGVD29/UKLVD","size":"2.0 GB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Contains all required data for use in the lower Wood River Valley of southern Oregon. Ready to run. Utilizes the National Geodetic Vertical Datum of 1929 (NGVD29) for elevation reference. Also contains data for use with the Upper Klamath Lake Vertical Datum (UKLVD). Useful for training purposes or examination of input datasets and output results. Includes all ancillary files."}],"country":"United States","state":"Oregon","otherGeospatial":"Wood River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.61,42.0 ], [ -124.61,46.29 ], [ -116.46,46.29 ], [ -116.46,42.0 ], [ -124.61,42.0 ] ] ] } } ] }","contact":"<p><a href=\"https://www.usgs.gov/centers/or-water\" data-mce-href=\"https://www.usgs.gov/centers/or-water\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201<br><br><a href=\"http://or.water.usgs.gov/proj/shoreline/maillist.html\" data-mce-href=\"http://or.water.usgs.gov/proj/shoreline/maillist.html\">Mailing List</a><br>Request to be notified of updates or<br>receive useful information about the<br>Shoreline Management Tool</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>The Shoreline Management Tool</li><li>An Example for the Lower Wood River Valley, Oregon</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix A. Shoreline Management Tool User’s Guide</li><li>Appendix B. Preparation of Input Data for use with the Shoreline Management Tool</li><li>Appendix C. Data Files for the Lower Wood River Valley for Use with the Shoreline Management Tool</li><li>Appendix D. Example Python Programming Language Scripts to Automate Data Preparation for the Shoreline Management Tool</li></ul>","publishedDate":"2013-04-03","revisedDate":"2013-04-26","noUsgsAuthors":false,"publicationDate":"2013-04-03","publicationStatus":"PW","scienceBaseUri":"515d4162e4b0803bd2eec4ff","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":477119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haluska, Tana 0000-0001-6307-4769 thaluska@usgs.gov","orcid":"https://orcid.org/0000-0001-6307-4769","contributorId":1708,"corporation":false,"usgs":true,"family":"Haluska","given":"Tana","email":"thaluska@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Respini-Irwin, Darius","contributorId":51177,"corporation":false,"usgs":true,"family":"Respini-Irwin","given":"Darius","email":"","affiliations":[],"preferred":false,"id":477121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045400,"text":"cir1383F - 2013 - U.S. Geological Survey natural hazards science strategy— Promoting the safety, security, and economic well-being of the Nation","interactions":[],"lastModifiedDate":"2019-10-01T13:12:07","indexId":"cir1383F","displayToPublicDate":"2019-10-01T14:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1383","chapter":"F","displayTitle":"U.S. Geological Survey Natural Hazards Science Strategy—Promoting the Safety, Security, and Economic Well-Being of the Nation","title":"U.S. Geological Survey natural hazards science strategy— Promoting the safety, security, and economic well-being of the Nation","docAbstract":"<h1>Executive Summary</h1><p>The mission of the U.S. Geological Survey (USGS) in natural hazards is to develop and apply hazard science to help protect the safety, security, and economic well-being of the Nation. The costs and consequences of natural hazards can be enormous, and each year more people and infrastructure are at risk. USGS scientific research—founded on detailed observations and improved understanding of the responsible physical processes—can help to understand and reduce natural hazard risks and to make and effectively communicate reliable statements about hazard characteristics, such as frequency, magnitude, extent, onset, consequences, and where possible, the time of future events.</p><p>To accomplish its broad hazard mission, the USGS maintains an expert workforce of scientists and technicians in the earth sciences, hydrology, biology, geography, social and behavioral sciences, and other fields, and engages cooperatively with numerous agencies, research institutions, and organizations in the public and private sectors, across the Nation and around the world. The scientific expertise required to accomplish the USGS mission in natural hazards includes a wide range of disciplines that this report refers to, in aggregate, as hazard science.</p><p>In October 2010, the Natural Hazards Science Strategy Planning Team (H–SSPT) was charged with developing a long-term (10-year) Science Strategy for the USGS mission in natural hazards. This report fulfills that charge, with a document hereinafter referred to as the Strategy, to provide scientific observations, analyses, and research that are critical for the Nation to become more resilient to natural hazards. Science provides the information that decisionmakers need to determine whether risk management activities are worthwhile. Moreover, as the agency with the perspective of geologic time, the USGS is uniquely positioned to extend the collective experience of society to prepare for events outside current memory. The USGS has critical statutory and nonstatutory roles regarding floods, earthquakes, tsunamis, landslides, coastal erosion, volcanic eruptions, wildfires, and magnetic storms—the hazards considered in this plan. There are numerous other hazards of societal importance that are considered either only peripherally or not at all in this Strategy because they are either in another of the USGS strategic science plans (such as drought) or not in the overall mission of the USGS (such as tornados).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1383F","usgsCitation":"Holmes, R.R., Jr., Jones, L.M., Eidenshink, J.C., Godt, J.W., Kirby, S.H., Love, J.J., Neal, C.A., Plant, N.G., Plunkett, M.L., Weaver, C.S., Wein, Anne, and Perry, S.C., 2013, U.S. Geological Survey natural hazards science strategy— Promoting the safety, security, and economic well-being of the Nation: U.S. Geological Survey Circular 1383–F, 79 p.","productDescription":"x, 79 p.","numberOfPages":"96","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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States\"}}]}","contact":"<p><a href=\"https://www.usgs.gov/mission-areas/natural-hazards\" data-mce-href=\"https://www.usgs.gov/mission-areas/natural-hazards\">Natural Hazards</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Foreword</li><li>Executive Summary</li><li>Introduction</li><li>Goal 1: Enhanced Observations</li><li>Goal 2: Fundamental Understanding of Hazards and Impacts</li><li>Goal 3: Improved Assessment Products and Services</li><li>Goal 4: Effective Situational Awareness</li><li>A Vision of the Future</li><li>Opportunities and Challenges</li><li>Planning and Interconnections Across the USGS Mission Areas</li><li>Selected References</li><li>Definitions</li><li>Appendix 1. Hazard Science in the USGS</li><li>Appendix 2. The Domestic Value of USGS International Efforts in Hazard Science</li><li>Appendix 3. Hazards Science Strategy Planning Team: Composition, Charge, Philosophy, and Process</li><li>Appendix 4. Listening Sessions</li><li>Appendix 5. Disaster Relief Act of 1974</li></ul>","publishedDate":"2013-04-15","noUsgsAuthors":false,"publicationDate":"2013-04-15","publicationStatus":"PW","scienceBaseUri":"516d135ee4b0411d430a89bd","contributors":{"authors":[{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":477384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Lucile M. jones@usgs.gov","contributorId":1014,"corporation":false,"usgs":true,"family":"Jones","given":"Lucile","email":"jones@usgs.gov","middleInitial":"M.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":477381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eidenshink, Jeffery C. eidenshink@usgs.gov","contributorId":1352,"corporation":false,"usgs":true,"family":"Eidenshink","given":"Jeffery","email":"eidenshink@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":477383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":477382,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirby, Stephen H. 0000-0003-1636-4688 skirby@usgs.gov","orcid":"https://orcid.org/0000-0003-1636-4688","contributorId":2752,"corporation":false,"usgs":true,"family":"Kirby","given":"Stephen","email":"skirby@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":477387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":477380,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neal, Christina A. 0000-0002-7697-7825","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":82660,"corporation":false,"usgs":true,"family":"Neal","given":"Christina A.","affiliations":[],"preferred":false,"id":477390,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":477388,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Plunkett, Michael L. plunkett@usgs.gov","contributorId":2378,"corporation":false,"usgs":true,"family":"Plunkett","given":"Michael","email":"plunkett@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":477385,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weaver, Craig S. craig@usgs.gov","contributorId":2690,"corporation":false,"usgs":true,"family":"Weaver","given":"Craig","email":"craig@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":477386,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":477379,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Perry, Suzanne C. 0000-0002-6370-4326 scperry@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-4326","contributorId":5227,"corporation":false,"usgs":true,"family":"Perry","given":"Suzanne","email":"scperry@usgs.gov","middleInitial":"C.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":477389,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70046070,"text":"70046070 - 2013 - Interactions among hydrogeomorphology, vegetation, and nutrient biogeochemistry in floodplain ecosystems","interactions":[],"lastModifiedDate":"2016-06-23T15:20:30","indexId":"70046070","displayToPublicDate":"2015-02-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Interactions among hydrogeomorphology, vegetation, and nutrient biogeochemistry in floodplain ecosystems","docAbstract":"<p>Hydrogeomorphic, vegetative, and biogeochemical processes interact in floodplains resulting in great complexity that provides opportunities to better understand linkages among physical and biological processes in ecosystems. Floodplains and their associated river systems are structured by four dimensional gradients of hydrogeomorphology: longitudinal, lateral, vertical, and temporal components. These four dimensions create dynamic hydrologic and geomorphologic mosaics that have a large imprint on the vegetation and nutrient biogeochemistry of floodplains. Plant physiology, population dynamics, community structure, and productivity are all very responsive to floodplain hydrogeomorphology. The strength of this relationship between vegetation and hydrogeomorphology is evident in the use of vegetation as an indicator of hydrogeomorphic processes. However, vegetation also influences hydrogeomorphology by modifying hydraulics and sediment entrainment and deposition that typically stabilize geomorphic patterns. Nitrogen and phosphorus biogeochemistry commonly influence plant productivity and community composition, although productivity is not limited by nutrient availability in all floodplains. Conversely, vegetation influences nutrient biogeochemistry through direct uptake and storage as well as production of organic matter that regulates microbial biogeochemical processes. The biogeochemistries of nitrogen and phosphorus cycling are very sensitive to spatial and temporal variation in hydrogeomorphology, in particular floodplain wetness and sedimentation. The least studied interaction is the direct effect of biogeochemistry on hydrogeomorphology, but the control of nutrient availability over organic matter decomposition and thus soil permeability and elevation is likely important. Biogeochemistry also has the more documented but indirect control of hydrogeomorphology through regulation of plant biomass. In summary, the defining characteristics of floodplain ecosystems are determined by the many interactions among physical and biological processes. Conservation and restoration of the valuable ecosystem services that floodplains provide depends on improved understanding and predictive models of interactive system controls and behavior.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecogeomorphology","language":"English","publisher":"Elsevier","publisherLocation":"Reston, VA","doi":"10.1016/B978-0-12-374739-6.00338-9","usgsCitation":"Noe, G.B., 2013, Interactions among hydrogeomorphology, vegetation, and nutrient biogeochemistry in floodplain ecosystems, chap. <i>of</i> Ecogeomorphology, v. 12, p. 307-321, https://doi.org/10.1016/B978-0-12-374739-6.00338-9.","productDescription":"15 p.","startPage":"307","endPage":"321","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026520","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":324307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","volume":"12","edition":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576d0832e4b07657d1a3756d","contributors":{"authors":[{"text":"Noe, G. B.","contributorId":146903,"corporation":false,"usgs":true,"family":"Noe","given":"G.","email":"","middleInitial":"B.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":640576,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70123891,"text":"70123891 - 2013 - Control on groundwater flow in a semiarid folded and faulted intermountain basin","interactions":[],"lastModifiedDate":"2017-09-26T09:43:38","indexId":"70123891","displayToPublicDate":"2014-09-10T09:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Control on groundwater flow in a semiarid folded and faulted intermountain basin","docAbstract":"The major processes controlling groundwater flow in intermountain basins are poorly understood, particularly in basins underlain by folded and faulted bedrock and under regionally realistic hydrogeologic heterogeneity. To explore the role of hydrogeologic heterogeneity and poorly constrained mountain hydrologic conditions on regional groundwater flow in contracted intermountain basins, a series of 3-D numerical groundwater flow models were developed using the South Park basin, Colorado, USA as a proxy. The models were used to identify the relative importance of different recharge processes to major aquifers, to estimate typical groundwater circulation depths, and to explore hydrogeologic communication between mountain and valley hydrogeologic landscapes. Modeling results show that mountain landscapes develop topographically controlled and predominantly local-scale to intermediate-scale flow systems. Permeability heterogeneity of the fold and fault belt and decreased topographic roughness led to permeability controlled flow systems in the valley. The structural position of major aquifers in the valley fold and fault belt was found to control the relative importance of different recharge mechanisms. Alternative mountain recharge model scenarios showed that higher mountain recharge rates led to higher mountain water table elevations and increasingly prominent local flow systems, primarily resulting in increased seepage within the mountain landscape and nonlinear increases in mountain block recharge to the valley. Valley aquifers were found to be relatively insensitive to changing mountain water tables, particularly in structurally isolated aquifers inside the fold and fault belt.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013WR014451","usgsCitation":"Ball, L.B., Caine, J.S., and Ge, S., 2013, Control on groundwater flow in a semiarid folded and faulted intermountain basin: Water Resources Research, v. 50, no. 8, p. 6788-6809, https://doi.org/10.1002/2013WR014451.","productDescription":"22 p.","startPage":"6788","endPage":"6809","ipdsId":"IP-049504","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":473350,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013wr014451","text":"Publisher Index Page"},{"id":293573,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/2013WR014451/pdf"},{"id":293583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293572,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013WR014451"}],"country":"United States","state":"Colorado","otherGeospatial":"South Park Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.0108,38.7556 ], [ -106.0108,39.3886 ], [ -105.4682,39.3886 ], [ -105.4682,38.7556 ], [ -106.0108,38.7556 ] ] ] } } ] }","volume":"50","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-08-22","publicationStatus":"PW","scienceBaseUri":"541157b2e4b0fe7e184a5535","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":500468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":500470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ge, Shemin","contributorId":37366,"corporation":false,"usgs":true,"family":"Ge","given":"Shemin","affiliations":[],"preferred":false,"id":500469,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189180,"text":"70189180 - 2013 - Modeling unsaturated zone flow and runoff processes by integrating MODFLOW-LGR and VSF, and creating the new CFL package","interactions":[],"lastModifiedDate":"2017-07-06T14:41:05","indexId":"70189180","displayToPublicDate":"2014-04-01T00:00:00","publicationYear":"2013","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":"Modeling unsaturated zone flow and runoff processes by integrating MODFLOW-LGR and VSF, and creating the new CFL package","docAbstract":"<p><span>In this paper two modifications to the MODFLOW code are presented. One concerns an extension of Local Grid Refinement (LGR) to Variable Saturated Flow process (VSF) capability. This modification allows the user to solve the 3D Richards’ equation only in selected parts of the model domain. The second modification introduces a new package, named CFL (Cascading Flow), which improves the computation of overland flow when ground surface saturation is simulated using either VSF or the Unsaturated Zone Flow (UZF) package. The modeling concepts are presented and demonstrated. Programmer documentation is included in appendices.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.02.020","usgsCitation":"Borsia, I., Rossetto, R., Schifani, C., and Hill, M.C., 2013, Modeling unsaturated zone flow and runoff processes by integrating MODFLOW-LGR and VSF, and creating the new CFL package: Journal of Hydrology, v. 488, p. 33-47, https://doi.org/10.1016/j.jhydrol.2013.02.020.","productDescription":"15 p.","startPage":"33","endPage":"47","ipdsId":"IP-044185","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"488","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c43e4b0d1f9f057e364","contributors":{"authors":[{"text":"Borsia, I.","contributorId":194176,"corporation":false,"usgs":false,"family":"Borsia","given":"I.","email":"","affiliations":[],"preferred":false,"id":703763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rossetto, R.","contributorId":194177,"corporation":false,"usgs":false,"family":"Rossetto","given":"R.","email":"","affiliations":[],"preferred":false,"id":703764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schifani, C.","contributorId":194178,"corporation":false,"usgs":false,"family":"Schifani","given":"C.","email":"","affiliations":[],"preferred":false,"id":703765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703766,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70055665,"text":"sir20125267 - 2013 - Analysis of postfire hydrology, water quality, and sediment transport for selected streams in areas of the 2002 Hayman and Hinman fires, Colorado","interactions":[],"lastModifiedDate":"2014-01-04T13:55:43","indexId":"sir20125267","displayToPublicDate":"2014-01-04T13:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5267","title":"Analysis of postfire hydrology, water quality, and sediment transport for selected streams in areas of the 2002 Hayman and Hinman fires, Colorado","docAbstract":"<p>The U.S. Geological Survey (USGS) began a 5-year study in 2003 that focused on postfire stream-water quality and postfire sediment load in streams within the Hayman and Hinman fire study areas. This report compares water quality of selected streams receiving runoff from unburned areas and burned areas using concentrations and loads, and trend analysis, from seasonal data (approximately April–November) collected 2003–2007 at the Hayman fire study area, and data collected from 1999–2000 (prefire) and 2003 (postfire) at the Hinman fire study area. The water-quality data collected during this study include onsite measurements of streamflow, specific conductance, and turbidity, laboratory-determined pH, and concentrations of major ions, nutrients, organic carbon, trace elements, and suspended sediment. Postfire floods and effects on water quality of streams, lakes and reservoirs, drinking-water treatment, and the comparison of measured concentrations to applicable water quality standards also are discussed.</p>\n<br/>\n<p>Exceedances of Colorado water-quality standards in streams of both the Hayman and Hinman fire study areas only occurred for concentrations of five trace elements (not all trace-element exceedances occurred in every stream). Selected samples analyzed for total recoverable arsenic (fixed), dissolved copper (acute and chronic), total recoverable iron (chronic), dissolved manganese (acute, chronic, and fixed) and total recoverable mercury (chronic) exceeded Colorado aquatic-life standards.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125267","collaboration":"Prepared in cooperation with Douglas County, U.S. Environmental Protection Agency, the cities of Aurora, Northglenn, Thornton, and Westminster, the Colorado Department of Public Health and Environment, Colorado River Water Conservation District, Colorado Springs Utilities, Denver Water, Federal Emergency Management Agency, North Front Range Water Quality Planning Association, and Routt and Medicine Bow National Forests","usgsCitation":"Stevens, M.R., 2013, Analysis of postfire hydrology, water quality, and sediment transport for selected streams in areas of the 2002 Hayman and Hinman fires, Colorado: U.S. Geological Survey Scientific Investigations Report 2012-5267, Report: ix, 93 p.; Downloads Directory: Appendixes 1-12, https://doi.org/10.3133/sir20125267.","productDescription":"Report: ix, 93 p.; Downloads Directory: Appendixes 1-12","numberOfPages":"106","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-017674","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":280604,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5267/"},{"id":280605,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5267/pdf/sir2012-5267.pdf"},{"id":280606,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5267/downloads/"},{"id":280607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125267.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Fourmile Creek;Lost Dog Creek;Pine Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.99,38.95 ], [ -107.99,41.0 ], [ -104.22,41.0 ], [ -104.22,38.95 ], [ -107.99,38.95 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c92d5fe4b03cb62a1b077c","contributors":{"authors":[{"text":"Stevens, Michael R. 0000-0002-9476-6335 mrsteven@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6335","contributorId":769,"corporation":false,"usgs":true,"family":"Stevens","given":"Michael","email":"mrsteven@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486197,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70049005,"text":"sim3278 - 2013 - Flood-inundation maps for a 6.5-mile reach of the Kentucky River at Frankfort, Kentucky","interactions":[],"lastModifiedDate":"2014-01-03T10:44:30","indexId":"sim3278","displayToPublicDate":"2014-01-03T10:27:48","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3278","title":"Flood-inundation maps for a 6.5-mile reach of the Kentucky River at Frankfort, Kentucky","docAbstract":"Digital flood-inundation maps for a 6.5-mile reach of Kentucky River at Frankfort, Kentucky, were created by the U.S. Geological Survey (USGS) in cooperation with the City of Frankfort Office of Emergency Management. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage Kentucky River at Lock 4 at Frankfort, Kentucky (station no. 03287500). Current conditions for the USGS streamgage may be obtained online at the USGS National Water Information System site (http://waterdata.usgs.gov/nwis/inventory?agency_code=USGS&site_no=03287500). In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (http:/water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that are often colocated at USGS streamgages. The forecasted peak-stage information, also available on the Internet, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.  In this study, flood profiles were computed for the Kentucky River reach by using HEC–RAS, a one-dimensional step-backwater model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current (2013) stage-discharge relation for the Kentucky River at Lock 4 at Frankfort, Kentucky, in combination with streamgage and high-water-mark measurements collected for a flood event in May 2010. The calibrated model was then used to calculate 26 water-surface profiles for a sequence of flood stages, at 1-foot intervals, referenced to the streamgage datum and ranging from a stage near bankfull to the elevation that breached the levees protecting the City of Frankfort. To delineate the flooded area at each interval flood stage, the simulated water-surface profiles were combined with a digital elevation model (DEM) of the study area by using geographic information system software. The DEM consisted of bare-earth elevations within the study area and was derived from a Light Detection And Ranging (LiDAR) dataset having a 5.0-foot horizontal resolution and an accuracy of 0.229 foot.  The availability of these maps, along with Internet information regarding current stages from USGS streamgages and forecasted stages from the NWS, provides emergency management personnel and local residents with critical information for flood response activities such as evacuations, road closures, and postflood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3278","collaboration":"Prepared in cooperation with City of Frankfort, Kentucky, Office of Emergency Management","usgsCitation":"Lant, J.G., 2013, Flood-inundation maps for a 6.5-mile reach of the Kentucky River at Frankfort, Kentucky: U.S. Geological Survey Scientific Investigations Map 3278, Report: vi, 10 p.; Low Resolution and High Resolution Map Sheets; Downloads Directory, https://doi.org/10.3133/sim3278.","productDescription":"Report: vi, 10 p.; Low Resolution and High Resolution Map Sheets; Downloads Directory","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045182","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":280591,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3278/"},{"id":280592,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3278/pdf/sim3278.pdf"},{"id":280593,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3278/PDF-mapSheets/"},{"id":280594,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3278/downloads/"},{"id":280595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3278.jpg"}],"projection":"Lambert Conformal Conic","datum":"North American Datum of 1983","country":"United States","state":"Kentucky","city":"Fankfort","otherGeospatial":"Kentucky River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.916,38.15 ], [ -84.916,38.233 ], [ -84.816,38.233 ], [ -84.816,38.15 ], [ -84.916,38.15 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c7dbe1e4b0a753c7d3e375","contributors":{"authors":[{"text":"Lant, Jeremiah G. 0000-0001-6688-4820 jlant@usgs.gov","orcid":"https://orcid.org/0000-0001-6688-4820","contributorId":4912,"corporation":false,"usgs":true,"family":"Lant","given":"Jeremiah","email":"jlant@usgs.gov","middleInitial":"G.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485986,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70056151,"text":"sir20135214 - 2013 - An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River Plain aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2009–11","interactions":[],"lastModifiedDate":"2014-01-02T13:21:37","indexId":"sir20135214","displayToPublicDate":"2014-01-02T12:49:29","publicationYear":"2013","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":"2013-5214","title":"An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River Plain aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2009–11","docAbstract":"Since 1952, wastewater discharged to infiltration ponds (also called percolation ponds) and disposal wells at the Idaho National Laboratory (INL) has affected water quality in the eastern Snake River Plain (ESRP) aquifer and perched groundwater zones underlying the INL. The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy, maintains groundwater monitoring networks at the INL to determine hydrologic trends, and to delineate the movement of radiochemical and chemical wastes in the aquifer and in perched groundwater zones. This report presents an analysis of water-level and water-quality data collected from aquifer, multilevel monitoring system (MLMS), and perched groundwater wells in the USGS groundwater monitoring networks during 2009–11.  Water in the ESRP aquifer primarily moves through fractures and interflow zones in basalt, generally flows southwestward, and eventually discharges at springs along the Snake River. The aquifer primarily is recharged from infiltration of irrigation water, infiltration of streamflow, groundwater inflow from adjoining mountain drainage basins, and infiltration of precipitation.  From March–May 2009 to March–May 2011, water levels in wells generally declined in the northern part of the INL. Water levels generally rose in the central and eastern parts of the INL.  Detectable concentrations of radiochemical constituents in water samples from aquifer wells or MLMS equipped wells in the ESRP aquifer at the INL generally decreased or remained constant during 2009–11. Decreases in concentrations were attributed to radioactive decay, changes in waste-disposal methods, and dilution from recharge and underflow.  In 2011, concentrations of tritium in groundwater from 50 of 127 aquifer wells were greater than or equal to the reporting level and ranged from 200±60 to 7,000±260 picocuries per liter. Tritium concentrations from one or more discrete zones from four wells equipped with MLMS were greater than or equal to reporting levels in water samples collected at various depths. Tritium concentrations in water from wells completed in shallow perched groundwater at the Advanced Test Reactor Complex (ATR Complex) were less than the reporting levels. Tritium concentrations in deep perched groundwater at the ATR Complex equaled or exceeded the reporting level in 12 wells during at least one sampling event during 2009–11 at the ATR Complex.  Concentrations of strontium-90 in water from 20 of 76 aquifer wells sampled during April or October 2011 exceeded the reporting level. Strontium-90 was not detected within the ESRP aquifer beneath the ATR Complex. During at least one sampling event during 2009–11, concentrations of strontium-90 in water from 10 wells completed in deep perched groundwater at the ATR Complex equaled or exceeded the reporting levels.  During 2009–11, concentrations of plutonium-238, and plutonium-239, -240 (undivided), and americium-241 were less than the reporting level in water samples from all aquifer wells and in all wells equipped with MLMS. Concentrations of cesium-137 were equal to or slightly above the reporting level in 8 aquifer wells and from 2 wells equipped with MLMS.  The concentration of chromium in water from one well south of the ATR Complex was 97 micrograms per liter (μg/L) in April 2011, just less than the maximum contaminant level (MCL) of 100 μg/L. Concentrations of chromium in water samples from 69 other wells sampled ranged from 0.8 μg/L to 25 μg/L. During 2009–11, dissolved chromium was detected in water from 15 wells completed in perched groundwater at the ATR Complex.  In 2011, concentrations of sodium in water from most wells in the southern part of the INL were greater than the background concentration of 10 milligrams per liter (mg/L); the highest concentrations were at or near the Idaho Nuclear Engineering and Technology Center (INTEC). After the newpercolation ponds were put into service in 2002 southwest of the INTEC, concentrations of sodium in water samples from the Rifle Range well rose steadily until 2008, when the concentrations generally began decreasing. The increases and decreases were attributed to disposal variability in the new percolation ponds. Concentrations of sodium in most wells equipped with MLMS generally were consistent with depth. During 2011, dissolved sodium concentrations in water from 17 wells completed in deep perched groundwater at the ATR Complex ranged from 6 to 146 mg/L.  In 2011, concentrations of chloride in most water samples from aquifer wells south of the INTEC and at the Central Facilities Area exceeded the background concentrations of 15 mg/L, but were less than the secondary MCL of 250 mg/L. Chloride concentrations in water from wells south of the INTEC have generally increased because of increased chloride disposal to the old percolation ponds since 1984 when discharge of wastewater to the INTEC disposal well was discontinued. After the new percolation ponds were put into service in 2002 southwest of the INTEC, concentrations of chloride in water samples from one well rose steadily until 2008 then began decreasing. Chloride concentrations in water from all but one well completed in the ESRP aquifer at or near the ATR Complex were less than background and ranged between 10 and 14 mg/L during 2011, similar to concentrations detected during the 2006–08 reporting period. During 2011, chloride concentrations in water from two aquifer wells at the Radioactive Waste Management Complex (RWMC) were slightly greater than concentrations detected during the 2006–08 reporting period. The vertical distribution of chloride concentrations in wells equipped with MLMS were generally consistent within zones during 2009–11 and ranged from about 8 to 20 mg/L. During April 2011, dissolved chloride concentrations in shallow perched groundwater at the ATR Complex ranged from 7 to 13 mg/L in water from three wells. Dissolved chloride concentrations in deep perched groundwater at the ATR Complex during 2011 ranged from 4 to 54 mg/L.  In 2011, sulfate concentrations in water samples from 11 aquifer wells in the south-central part of the INL equaled or exceeded the background concentration of sulfate and ranged from 40 to 167 mg/L. The greater-than-background concentrations in water from these wells probably resulted from sulfate disposal at the ATR Complex infiltration ponds or the old INTEC percolation ponds. In 2011, sulfate concentrations in water samples from two wells near the RWMC were greater than background levels and could have resulted from well construction techniques and (or) waste disposal at the RWMC. The vertical distribution of sulfate concentrations in three wells near the southern boundary of the INL was generally consistent with depth, and ranged between 19 and 25 mg/L. The maximum dissolved sulfate concentration in shallow perched groundwater near the ATR Complex was 400 mg/L in well CWP 1 in April 2011. During 2009–11, the maximum concentration of dissolved sulfate in deep perched groundwater at the ATR Complex was 1,550 mg/L in a well located west of the chemical-waste pond.  In 2011, concentrations of nitrate in water from most wells at and near the INTEC exceeded the regional background concentrations of 1 mg/L and ranged from 1.6 to 5.95 mg/L. Concentrations of nitrate in wells south of INTEC and farther away from the influence of disposal areas and the Big Lost River show a general decrease in nitrate concentrations through time.  During 2009–11, water samples from 30 wells were collected and analyzed for volatile organic compounds (VOCs). Six VOCs were detected. At least one and up to five VOCs were detected in water samples from 10 wells. The primary VOCs detected include carbon tetrachloride, chloroform, tetrachloroethylene, 1,1,1-trichloroethane, and trichloroethylene. In 2011, concentrations for all VOCs were less than their respective MCL for drinking water, except carbon tetrachloride in water from two wells.  During 2009–11, variability and bias were evaluated from 56 replicate and 16 blank quality-assurance samples. Results from replicate analyses were investigated to evaluate sample variability. Constituents with acceptable reproducibility were stable isotope ratios, major ions, nutrients, and VOCs. All radiochemical constituents and trace metals had acceptable reproducibility except for gross beta-particle radioactivity, aluminum, antimony, and cobalt. Bias from sample contamination was evaluated from equipment, field, container, and source-solution blanks. No detectable constituent concentrations were reported for equipment blanks of the thief samplers and sampling pipes or for the source-solution and field blanks. Equipment blanks of bailers had detectable concentrations of strontium-90, sodium, chloride, and sulfate, and the container blank had a detectable concentration of dichloromethane.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135214","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Davis, L.C., Bartholomay, R.C., and Rattray, G.W., 2013, An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River Plain aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2009–11: U.S. Geological Survey Scientific Investigations Report 2013-5214, x, 89 p., https://doi.org/10.3133/sir20135214.","productDescription":"x, 89 p.","numberOfPages":"206","onlineOnly":"Y","ipdsId":"IP-045208","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":280581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":280580,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5214/pdf/sir20135214.pdf"},{"id":280574,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5214/"}],"projection":"Universal Transverse Mercator projection, Zone 12","datum":"North American Datum of 1927","country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.75,43.25 ], [ -113.75,44.5 ], [ -112.25,44.5 ], [ -112.25,43.25 ], [ -113.75,43.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c68a5ee4b06d2ed1226481","contributors":{"authors":[{"text":"Davis, Linda C. lcdavis@usgs.gov","contributorId":2539,"corporation":false,"usgs":true,"family":"Davis","given":"Linda","email":"lcdavis@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486351,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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