{"pageNumber":"143","pageRowStart":"3550","pageSize":"25","recordCount":16502,"records":[{"id":70101272,"text":"70101272 - 2014 - Small reservoir distribution, rate of construction, and uses in the upper and middle Chattahoochee basins of the Georgia Piedmont, USA, 1950-2010","interactions":[],"lastModifiedDate":"2017-01-12T11:02:05","indexId":"70101272","displayToPublicDate":"2014-04-01T10:24:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1957,"text":"ISPRS International Journal of Geo-information","active":true,"publicationSubtype":{"id":10}},"title":"Small reservoir distribution, rate of construction, and uses in the upper and middle Chattahoochee basins of the Georgia Piedmont, USA, 1950-2010","docAbstract":"Construction of small reservoirs affects ecosystem processes in numerous ways including fragmenting stream habitat, altering hydrology, and modifying water chemistry. While the upper and middle Chattahoochee River basins within the Southeastern United States Piedmont contain few natural lakes, they have a high density of small reservoirs (more than 7500 small reservoirs in the nearly 12,000 km2 basin). Policymakers and water managers in the region have little information about small reservoir distribution, uses, or the cumulative inundation of land cover caused by small reservoir construction. Examination of aerial photography reveals the spatiotemporal patterns and extent of small reservoir construction from 1950 to 2010. Over that 60 year timeframe, the area inundated by water increased nearly six fold (from 19 reservoirs covering 0.16% of the study area in 1950 to 329 reservoirs covering 0.95% of the study area in 2010). While agricultural practices were associated with reservoir creation from 1950 to 1970, the highest rates of reservoir construction occurred during subsequent suburban development between 1980 and 1990. Land cover adjacent to individual reservoirs transitioned over time through agricultural abandonment, land reforestation, and conversion to development during suburban expansion. The prolific rate of ongoing small reservoir creation, particularly in newly urbanizing regions and developing counties, necessitates additional attention from watershed managers and continued scientific research into cumulative environmental impacts at the watershed scale.","language":"English","publisher":"International Journal of Geo-Information","doi":"10.3390/ijgi3020460","usgsCitation":"Ignatius, A.R., and Jones, J., 2014, Small reservoir distribution, rate of construction, and uses in the upper and middle Chattahoochee basins of the Georgia Piedmont, USA, 1950-2010: ISPRS International Journal of Geo-information, v. 3, no. 2, p. 460-480, https://doi.org/10.3390/ijgi3020460.","productDescription":"21 p.","startPage":"460","endPage":"480","ipdsId":"IP-041039","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473075,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijgi3020460","text":"Publisher Index Page"},{"id":286169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Chattahoochee River Basin, Georgia Piedmont","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.599022,33.757124 ], [ -84.599022,34.987592 ], [ -82.965826,34.987592 ], [ -82.965826,33.757124 ], [ -84.599022,33.757124 ] ] ] } } ] }","volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-04-01","publicationStatus":"PW","scienceBaseUri":"53517063e4b05569d805a3bb","contributors":{"authors":[{"text":"Ignatius, Amber R. arignatius@usgs.gov","contributorId":3817,"corporation":false,"usgs":true,"family":"Ignatius","given":"Amber","email":"arignatius@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":492651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":492650,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70129607,"text":"70129607 - 2014 - Capturing interactions between nitrogen and hydrological cycles under historical climate and land use: Susquehanna watershed analysis with the GFDL land model LM3-TAN","interactions":[],"lastModifiedDate":"2014-10-24T09:22:56","indexId":"70129607","displayToPublicDate":"2014-04-01T09:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Capturing interactions between nitrogen and hydrological cycles under historical climate and land use: Susquehanna watershed analysis with the GFDL land model LM3-TAN","docAbstract":"We developed a process model LM3-TAN to assess the combined effects of direct human influences and climate change on terrestrial and aquatic nitrogen (TAN) cycling. The model was developed by expanding NOAA's Geophysical Fluid Dynamics Laboratory land model LM3V-N of coupled terrestrial carbon and nitrogen (C-N) cycling and including new N cycling processes and inputs such as a soil denitrification, point N sources to streams (i.e., sewage), and stream transport and microbial processes. Because the model integrates ecological, hydrological, and biogeochemical processes, it captures key controls of the transport and fate of N in the vegetation–soil–river system in a comprehensive and consistent framework which is responsive to climatic variations and land-use changes. We applied the model at 1/8° resolution for a study of the Susquehanna River Basin. We simulated with LM3-TAN stream dissolved organic-N, ammonium-N, and nitrate-N loads throughout the river network, and we evaluated the modeled loads for 1986–2005 using data from 16 monitoring stations as well as a reported budget for the entire basin. By accounting for interannual hydrologic variability, the model was able to capture interannual variations of stream N loadings. While the model was calibrated with the stream N loads only at the last downstream Susquehanna River Basin Commission station Marietta (40°02' N, 76°32' W), it captured the N loads well at multiple locations within the basin with different climate regimes, land-use types, and associated N sources and transformations in the sub-basins. Furthermore, the calculated and previously reported N budgets agreed well at the level of the whole Susquehanna watershed. Here we illustrate how point and non-point N sources contributing to the various ecosystems are stored, lost, and exported via the river. Local analysis of six sub-basins showed combined effects of land use and climate on soil denitrification rates, with the highest rates in the Lower Susquehanna Sub-Basin (extensive agriculture; Atlantic coastal climate) and the lowest rates in the West Branch Susquehanna Sub-Basin (mostly forest; Great Lakes and Midwest climate). In the re-growing secondary forests, most of the N from non-point sources was stored in the vegetation and soil, but in the agricultural lands most N inputs were removed by soil denitrification, indicating that anthropogenic N applications could drive substantial increase of N<sub>2</sub>O emission, an intermediate of the denitrification process.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-11-5809-2014","usgsCitation":"Lee, M., Malyshev, S., Shevliakova, E., Milly, P., and Jaffe, P.R., 2014, Capturing interactions between nitrogen and hydrological cycles under historical climate and land use: Susquehanna watershed analysis with the GFDL land model LM3-TAN: Biogeosciences, v. 11, p. 5809-5826, https://doi.org/10.5194/bg-11-5809-2014.","productDescription":"18 p.","startPage":"5809","endPage":"5826","numberOfPages":"18","ipdsId":"IP-058259","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473077,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-11-5809-2014","text":"Publisher Index Page"},{"id":295706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295705,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/bg-11-5809-2014"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Susquehanna River","volume":"11","noUsgsAuthors":false,"publicationDate":"2014-10-20","publicationStatus":"PW","scienceBaseUri":"544b6a1ae4b03653c63fb1c3","contributors":{"authors":[{"text":"Lee, M.","contributorId":17932,"corporation":false,"usgs":true,"family":"Lee","given":"M.","affiliations":[],"preferred":false,"id":503907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malyshev, S.","contributorId":58210,"corporation":false,"usgs":true,"family":"Malyshev","given":"S.","affiliations":[],"preferred":false,"id":503908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shevliakova, E.","contributorId":69910,"corporation":false,"usgs":true,"family":"Shevliakova","given":"E.","affiliations":[],"preferred":false,"id":503909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milly, Paul C. D.","contributorId":100769,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C. D.","affiliations":[],"preferred":false,"id":503911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaffe, P. R.","contributorId":96204,"corporation":false,"usgs":true,"family":"Jaffe","given":"P.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":503910,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70141031,"text":"70141031 - 2014 - Hydrological effects of forest transpiration loss in bark beetle-impacted watersheds","interactions":[],"lastModifiedDate":"2020-10-15T17:52:12.448976","indexId":"70141031","displayToPublicDate":"2014-04-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Hydrological effects of forest transpiration loss in bark beetle-impacted watersheds","docAbstract":"<p><span>The recent climate-exacerbated mountain pine beetle infestation in the Rocky Mountains of North America has resulted in tree death that is unprecedented in recorded history. The spatial and temporal heterogeneity inherent in insect infestation creates a complex and often unpredictable watershed response, influencing the primary storage and flow components of the hydrologic cycle. Despite the increased vulnerability of forested ecosystems under changing climate</span><sup>1</sup><span>, watershed-scale implications of interception, ground evaporation, and transpiration changes remain relatively unknown, with conflicting reports of streamflow perturbations across regions. Here, contributions to streamflow are analysed through time and space to investigate the potential for increased groundwater inputs resulting from hydrologic change after infestation. Results demonstrate that fractional late-summer groundwater contributions from impacted watersheds are 30 &plusmn; 15% greater after infestation and when compared with a neighbouring watershed that experienced earlier and less-severe attack, albeit uncertainty propagations through time and space are considerable. Water budget analysis confirms that transpiration loss resulting from beetle kill can account for the relative increase in groundwater contributions to streams, often considered the sustainable flow fraction and critical to mountain water supplies and&nbsp;ecosystems.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/nclimate2198","usgsCitation":"Bearup, L.A., Maxwell, R.M., Clow, D.W., and McCray, J.E., 2014, Hydrological effects of forest transpiration loss in bark beetle-impacted watersheds: Nature Climate Change, v. 4, p. 481-486, https://doi.org/10.1038/nclimate2198.","productDescription":"6 p.","startPage":"481","endPage":"486","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054398","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":297943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.0675048828125,\n              40.012890779526174\n            ],\n            [\n              -106.0675048828125,\n              40.591013883455936\n            ],\n            [\n              -105.38909912109375,\n              40.591013883455936\n            ],\n            [\n              -105.38909912109375,\n              40.012890779526174\n            ],\n            [\n              -106.0675048828125,\n              40.012890779526174\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-20","publicationStatus":"PW","scienceBaseUri":"54dd2bcce4b08de9379b34db","contributors":{"authors":[{"text":"Bearup, Lindsay A.","contributorId":139257,"corporation":false,"usgs":false,"family":"Bearup","given":"Lindsay","email":"","middleInitial":"A.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":540536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maxwell, Reed M.","contributorId":95373,"corporation":false,"usgs":true,"family":"Maxwell","given":"Reed","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":540537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCray, John E.","contributorId":139258,"corporation":false,"usgs":false,"family":"McCray","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":540538,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70168381,"text":"70168381 - 2014 - Identifying legal, ecological and governance obstacles and opportunities for adapting to climate change","interactions":[],"lastModifiedDate":"2016-02-11T13:24:20","indexId":"70168381","displayToPublicDate":"2014-04-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3504,"text":"Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Identifying legal, ecological and governance obstacles and opportunities for adapting to climate change","docAbstract":"<p><span>Current governance of regional scale water management systems in the United States has not placed them on a path toward sustainability, as conflict and gridlock characterize the social arena and ecosystem services continue to erode. Changing climate may continue this trajectory, but it also provides a catalyst for renewal of ecosystems and a window of opportunity for change in institutions. Resilience provides a bridging concept that predicts that change in ecological and social systems is often dramatic, abrupt, and surprising. Adapting to the uncertainty of climate driven change must be done in a manner perceived as legitimate by the participants in a democratic society. Adaptation must begin with the current hierarchical and fragmented social-ecological system as a baseline from which new approaches must be applied. Achieving a level of integration between ecological concepts and governance requires a dialogue across multiple disciplines, including ecologists with expertise in ecological resilience, hydrologists and climate experts, with social scientists and legal scholars. Criteria and models that link ecological dynamics with policies in complex, multi-jurisdictional water basins with adaptive management and governance frameworks may move these social-ecological systems toward greater sustainability.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/su6042338","usgsCitation":"Cosens, B., Gunderson, L., Allen, C.R., and Benson, M.H., 2014, Identifying legal, ecological and governance obstacles and opportunities for adapting to climate change: Sustainability, v. 6, no. 4, p. 2338-2356, https://doi.org/10.3390/su6042338.","productDescription":"19 p.","startPage":"2338","endPage":"2356","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056238","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473078,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/su6042338","text":"Publisher Index Page"},{"id":317956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-22","publicationStatus":"PW","scienceBaseUri":"56bdbec4e4b06458514aeece","contributors":{"authors":[{"text":"Cosens, Barbara","contributorId":166744,"corporation":false,"usgs":false,"family":"Cosens","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":619947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gunderson, Lance","contributorId":30797,"corporation":false,"usgs":true,"family":"Gunderson","given":"Lance","affiliations":[],"preferred":false,"id":619948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":619840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benson, Melinda H.","contributorId":54090,"corporation":false,"usgs":true,"family":"Benson","given":"Melinda","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":619949,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70180391,"text":"70180391 - 2014 - Infiltration and runoff generation processes in fire-affected soils","interactions":[],"lastModifiedDate":"2017-01-30T09:34:05","indexId":"70180391","displayToPublicDate":"2014-04-01T00:00:00","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":"Infiltration and runoff generation processes in fire-affected soils","docAbstract":"<p>Post-wildfire runoff was investigated by combining field measurements and modelling of infiltration into fire-affected soils to predict time-to-start of runoff and peak runoff rate at the plot scale (1 m<sup>2</sup>). Time series of soil-water content, rainfall and runoff were measured on a hillslope burned by the 2010 Fourmile Canyon Fire west of Boulder, Colorado during cyclonic and convective rainstorms in the spring and summer of 2011. Some of the field measurements and measured soil physical properties were used to calibrate a one-dimensional post-wildfire numerical model, which was then used as a ‘virtual instrument’ to provide estimates of the saturated hydraulic conductivity and high-resolution (1 mm) estimates of the soil-water profile and water fluxes within the unsaturated zone.</p><p>Field and model estimates of the wetting-front depth indicated that post-wildfire infiltration was on average confined to shallow depths less than 30 mm. Model estimates of the effective saturated hydraulic conductivity, <i>K<sub>s</sub></i>, near the soil surface ranged from 0.1 to 5.2 mm h<sup>−1</sup>. Because of the relatively small values of <i>K<sub>s</sub></i>, the time-to-start of runoff (measured from the start of rainfall),  <i>t</i><sub><i>p</i></sub>, was found to depend only on the initial soil-water saturation deficit (predicted by the model) and a measured characteristic of the rainfall profile (referred to as the average rainfall acceleration, equal to the initial rate of change in rainfall intensity). An analytical model was developed from the combined results and explained 92–97% of the variance of  <i>t</i><sub><i>p</i></sub>, and the numerical infiltration model explained 74–91% of the variance of the peak runoff rates. These results are from one burned site, but they strongly suggest that  <i>t</i><sub><i>p</i></sub> in fire-affected soils (which often have low values of <i>K<sub>s</sub></i>) is probably controlled more by the storm profile and the initial soil-water saturation deficit than by soil hydraulic properties.</p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.9857","usgsCitation":"Moody, J.A., and Ebel, B.A., 2014, Infiltration and runoff generation processes in fire-affected soils: Hydrological Processes, v. 28, no. 9, p. 3432-3453, https://doi.org/10.1002/hyp.9857.","productDescription":"22 p.","startPage":"3432","endPage":"3453","ipdsId":"IP-042432","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":334278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-18","publicationStatus":"PW","scienceBaseUri":"58905ef1e4b072a7ac0cad39","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":661507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":661508,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70189199,"text":"70189199 - 2014 - Biochar application to hardrock mine tailings: Soil quality, microbial activity, and toxic element sorption","interactions":[],"lastModifiedDate":"2018-09-14T15:52:45","indexId":"70189199","displayToPublicDate":"2014-04-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Biochar application to hardrock mine tailings: Soil quality, microbial activity, and toxic element sorption","docAbstract":"<p><span>Waste rock piles from historic mining activities remain unvegetated as a result of metal toxicity and high acidity. Biochar has been proposed as a low-cost remediation strategy to increase soil pH and reduce leaching of toxic elements, and improve plant establishment. In this laboratory column study, biochar made from beetle-killed pine wood was assessed for utility as a soil amendment by mixing soil material from two mine sites collected near Silverton, Colorado, USA with four application rates of biochar (0%, 10%, 20%, 30% vol:vol). Columns were leached seven times over 65</span><span>&nbsp;</span><span>days and leachate pH and concentration of toxic elements and base cations were measured at each leaching. Nutrient availability and soil physical and biological parameters were determined following the incubation period. We investigated the hypotheses that biochar incorporation into acidic mine materials will (1) reduce toxic element concentrations in leaching solution, (2) improve soil parameters (i.e. increase nutrient and water holding capacity and pH, and decrease compaction), and (3) increase microbial populations and activity. Biochar directly increased soil pH (from 3.33 to 3.63 and from 4.07 to 4.77 in the two materials) and organic matter content, and decreased bulk density and extractable salt content in both mine materials, and increased nitrate availability in one material. No changes in microbial population or activity were detected in either mine material upon biochar application. In leachate solution, biochar increased base cations from both materials and reduced the concentrations of Al, Cd, Cu, Pb, and Zn in leachate solution from one material. However, in the material with greater toxic element content, biochar did not reduce concentrations of any measured dissolved toxic elements in leachate and resulted in a potentially detrimental release of Cd and Zn into solution at concentrations above that of the pure mine material. The length of time of effectiveness and specific sorption by biochar is variable by element and the toxic element concentration and acidity of the initial mine material.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.02.003","usgsCitation":"Kelly, C.N., Peltz, C.D., Stanton, M.R., Rutherford, D.W., and Rostad, C.E., 2014, Biochar application to hardrock mine tailings: Soil quality, microbial activity, and toxic element sorption: Applied Geochemistry, v. 43, p. 35-48, https://doi.org/10.1016/j.apgeochem.2014.02.003.","productDescription":"14 p.","startPage":"35","endPage":"48","ipdsId":"IP-045330","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595dfab7e4b0d1f9f056a7a3","contributors":{"authors":[{"text":"Kelly, Charlene N. cnkelly@usgs.gov","contributorId":4563,"corporation":false,"usgs":true,"family":"Kelly","given":"Charlene","email":"cnkelly@usgs.gov","middleInitial":"N.","affiliations":[],"preferred":true,"id":703459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peltz, Christopher D.","contributorId":194216,"corporation":false,"usgs":false,"family":"Peltz","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":703462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanton, Mark R. mstanton@usgs.gov","contributorId":1834,"corporation":false,"usgs":true,"family":"Stanton","given":"Mark","email":"mstanton@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":703461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rutherford, David W. dwruther@usgs.gov","contributorId":1325,"corporation":false,"usgs":true,"family":"Rutherford","given":"David","email":"dwruther@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":703460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rostad, Colleen E. cerostad@usgs.gov","contributorId":833,"corporation":false,"usgs":true,"family":"Rostad","given":"Colleen","email":"cerostad@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":703458,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70099991,"text":"sir20145036 - 2014 - Simulation of zones of contribution to wells at site GM–38, Naval Weapons Industrial Reserve Plant, Bethpage, New York","interactions":[],"lastModifiedDate":"2014-03-28T14:36:01","indexId":"sir20145036","displayToPublicDate":"2014-03-28T14:23:03","publicationYear":"2014","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":"2014-5036","title":"Simulation of zones of contribution to wells at site GM–38, Naval Weapons Industrial Reserve Plant, Bethpage, New York","docAbstract":"<p>A three-dimensional groundwater-flow model is coupled with the particle-tracking program MODPATH to delineate zones of contribution to wells pumping from the Magothy aquifer and supplying water to a chlorinated volatile organic compound removal plant at site GM–38, Naval Weapons Industrial Reserve Plant, Bethpage, New York. By use of driller’s logs, a transitional probability approach generated three alternative realizations of heterogeneity within the Magothy aquifer to assess uncertainty in model representation. Finer-grained sediments with low hydraulic conductivity were realized as laterally discontinuous, thickening towards the south, and comprising about 17 percent of the total aquifer volume.</p>\n\n<br>\n\n<p>Particle-tracking evaluations of a steady state present conditions model with alternative heterogeneity realizations were used to develop zones of contribution of remedial pumping wells. Because of heterogeneity and high rates of advection within the coarse-grained sediments, transport by dispersion and (or) diffusion was assumed to be negligible. Resulting zones of contribution of existing remedial wells are complex shapes, influenced by heterogeneity of each realization and other nearby hydrologic stresses. The use of two particle tracking techniques helped identify zones of contribution to wells. Backtracking techniques and observations of points of intersection of backward-tracked particles at shells of the GM–38 Hot Spot, as defined by surfaces of equal total volatile organic compound concentration, identified the source of water within the GM–38 Hot Spot to simulated wells. Forward-tracking techniques identified the fate of water within the GM–38 Hot Spot, including well capture and discharge to model constant head and drain boundaries. The percentage of backward-tracked particles, started at GM–38 wells that were sourced from within the Hot Spot, varied from 72.0 to 98.2, depending on the Hot Spot delineation used (present steady state model and Magothy aquifer heterogeneity realization A). The percentage of forward-tracked particles that were captured by GM–38 wells varied from 81.1 to 94.6, depending on the Hot Spot delineation used, with the remainder primarily captured by Bethpage Water District Plant 4 production wells (present steady state model and Magothy aquifer heterogeneity realization A). Less than 1 percent of forward-tracked particles ultimately discharge at model constant head and drain boundaries. The differences between forward- and backward-tracked particle percentage ranges are due to some forward-tracked particles not being captured by GM–38 wells, and some backward-tracked particles not intersecting specific regions of the Hot Spot.</p>\n\n<br>\n\n<p>During 2013, an aquifer test generated detailed time series of well pumping rates and corresponding water-level responses were recorded at numerous locations. These data were used to verify the present conditions steady state model and demonstrate the sensitivity of model results to transient-state changes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145036","collaboration":"Prepared in cooperation with the Naval Facilities Engineering Command","usgsCitation":"Misut, P., 2014, Simulation of zones of contribution to wells at site GM–38, Naval Weapons Industrial Reserve Plant, Bethpage, New York: U.S. Geological Survey Scientific Investigations Report 2014-5036, vii, 58 p., https://doi.org/10.3133/sir20145036.","productDescription":"vii, 58 p.","numberOfPages":"70","onlineOnly":"Y","ipdsId":"IP-053917","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":285106,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5036/pdf/sir2014-5036.pdf"},{"id":285107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145036.jpg"},{"id":285104,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5036/"}],"country":"United States","state":"New York","otherGeospatial":"Bethpage","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.506,40.731 ], [ -73.506,40.769 ], [ -73.464,40.769 ], [ -73.464,40.731 ], [ -73.506,40.731 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517063e4b05569d805a3b7","contributors":{"authors":[{"text":"Misut, Paul","contributorId":93822,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","affiliations":[],"preferred":false,"id":492102,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70073968,"text":"ofr20141003 - 2014 - Hydrologic Drought Decision Support System (HyDroDSS)","interactions":[],"lastModifiedDate":"2014-03-27T14:22:43","indexId":"ofr20141003","displayToPublicDate":"2014-03-27T14:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1003","title":"Hydrologic Drought Decision Support System (HyDroDSS)","docAbstract":"<p>The hydrologic drought decision support system (HyDroDSS) was developed by the U.S. Geological Survey (USGS) in cooperation with the Rhode Island Water Resources Board (RIWRB) for use in the analysis of hydrologic variables that may indicate the risk for streamflows to be below user-defined flow targets at a designated site of interest, which is defined herein as data-collection site on a stream that may be adversely affected by pumping. Hydrologic drought is defined for this study as a period of lower than normal streamflows caused by precipitation deficits and (or) water withdrawals. The HyDroDSS is designed to provide water managers with risk-based information for balancing water-supply needs and aquatic-habitat protection goals to mitigate potential effects of hydrologic drought.</p>\n<br/>\n<p>This report describes the theory and methods for retrospective streamflow-depletion analysis, rank correlation analysis, and drought-projection analysis. All three methods are designed to inform decisions made by drought steering committees and decisionmakers on the basis of quantitative risk assessment. All three methods use estimates of unaltered streamflow, which is the measured or modeled flow without major withdrawals or discharges, to approximate a natural low-flow regime.</p>\n<br/>\n<p>Retrospective streamflow-depletion analysis can be used by water-resource managers to evaluate relations between withdrawal plans and the potential effects of withdrawal plans on streams at one or more sites of interest in an area. Retrospective streamflow-depletion analysis indicates the historical risk of being below user-defined flow targets if different pumping plans were implemented for the period of record. Retrospective streamflow-depletion analysis also indicates the risk for creating hydrologic drought conditions caused by use of a pumping plan. Retrospective streamflow-depletion analysis is done by calculating the net streamflow depletions from withdrawals and discharges and applying these depletions to a simulated record of unaltered streamflow.</p>\n<br/>\n<p>Rank correlation analysis in the HyDroDSS indicates the persistence of hydrologic measurements from month to month for the prediction of developing hydrologic drought conditions and quantitatively indicates which hydrologic variables may be used to indicate the onset of hydrologic drought conditions. Rank correlation analysis also indicates the potential use of each variable for estimating the monthly minimum unaltered flow at a site of interest for use in the drought-projection analysis. Rank correlation analysis in the HyDroDSS is done by calculating Spearman’s rho for paired samples and the 95-percent confidence limits of this rho value. Rank correlation analysis can be done by using precipitation, groundwater levels, measured streamflows, and estimated unaltered streamflows. Serial correlation analysis, which indicates relations between current and future values, can be done for a single site. Cross correlation analysis, which indicates relations among current values at one site and current and future values at a second site, also can be done.</p>\n<br/>\n<p>Drought-projection analysis in the HyDroDSS indicates the risk for being in a hydrologic drought condition during the current month and the five following months with and without pumping. Drought-projection analysis also indicates the potential effectiveness of water-conservation methods for mitigating the effect of withdrawals in the coming months on the basis of the amount of depletion caused by different pumping plans and on the risk of unaltered flows being below streamflow targets. Drought-projection analysis in the HyDroDSS is done with Monte Carlo methods by using the position analysis method. In this method the initial value of estimated unaltered streamflows is calculated by correlation to a measured hydrologic variable (monthly precipitation, groundwater levels, or streamflows from an index station identified with the rank correlation analysis). Then a pseudorandom number generator is used to create 251 six-month-long flow traces by using a bootstrap method. Serial correlation of the estimated unaltered monthly minimum streamflows determined from the rank correlation analysis is preserved within each flow trace. The sample of unaltered streamflows indicates the risk of being below flow targets in the coming months under simulated natural conditions (without historic withdrawals). The streamflow-depletion algorithms are then used to estimate risks of flow being below targets if selected pumping plans are used.</p>\n<br/>\n<p>This report also describes the implementation of the HyDroDSS. The HyDroDSS was developed as a Microsoft Access® database application to facilitate storage, handling, and use of hydrologic datasets with a simple graphical user interface. The program is implemented in the database by using the Visual Basic for Applications® (VBA) programming language. Program source code for the analytical techniques is provided in the HyDroDSS and in electronic text files accompanying this report. Program source code for the graphical user interface and for data-handling code, which is specific to Microsoft Access® and the HyDroDSS, is provided in the database. An installation package with a run-time version of the software is available with this report for potential users who do not have a compatible copy of Microsoft Access®. Administrative rights are needed to install this version of the HyDroDSS.</p>\n<br/>\n<p>A case study, to demonstrate the use of HyDroDSS and interpretation of results for a site of interest, is detailed for the USGS streamgage on the Hunt River (station 01117000) near East Greenwich in central Rhode Island. The Hunt River streamgage was used because it has a long record of streamflow and is in a well-studied basin with a substantial amount of hydrologic and water-use data including groundwater pumping for municipal water supply.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141003","collaboration":"Prepared in cooperation with the Rhode Island Water Resources Board","usgsCitation":"Granato, G., 2014, Hydrologic Drought Decision Support System (HyDroDSS): U.S. Geological Survey Open-File Report 2014-1003, Report: x, 91 p.; Make CD by ISO package, https://doi.org/10.3133/ofr20141003.","productDescription":"Report: x, 91 p.; Make CD by ISO package","numberOfPages":"118","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042923","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":285061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141003.jpg"},{"id":285059,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1003/ofr2014-1003_CDROM.iso"},{"id":285057,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1003/"},{"id":285058,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1003/pdf/ofr2014-1003.pdf"}],"projection":"Rhode Island state plane projection","country":"United States","state":"Rhode Island","city":"East Greenwich","otherGeospatial":"Hunt River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.575284,41.507592 ], [ -71.575284,41.674953 ], [ -71.426104,41.674953 ], [ -71.426104,41.507592 ], [ -71.575284,41.507592 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517047e4b05569d805a262","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":1692,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","email":"ggranato@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":489307,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70093581,"text":"ofr20141023 - 2014 - Petrophysical properties, mineralogy, fractures, and flow tests in 25 deep boreholes at Yucca Mountain, Nevada","interactions":[],"lastModifiedDate":"2018-08-28T15:23:34","indexId":"ofr20141023","displayToPublicDate":"2014-03-25T14:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1023","title":"Petrophysical properties, mineralogy, fractures, and flow tests in 25 deep boreholes at Yucca Mountain, Nevada","docAbstract":"As part of a site investigation for the disposal of radioactive waste, numerous boreholes were drilled into a sequence of Miocene pyroclastic flows and related deposits at Yucca Mountain, Nevada. This report contains displays of data from 25 boreholes drilled during 1979–1984, relatively early in the site investigation program. Geophysical logs and hydrological tests were conducted in the boreholes; core and cuttings analyses yielded data on mineralogy, fractures, and physical properties; and geologic descriptions provided lithology boundaries and the degree of welding of the rock units. Porosity and water content were computed from the geophysical logs, and porosity results were combined with mineralogy from x-ray diffraction to provide whole-rock volume fractions. These data were composited on plates and used by project personnel during the 1990s. Improvements in scanning and computer technology now make it possible to publish these displays.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141023","usgsCitation":"Nelson, P.H., and Kibler, J.E., 2014, Petrophysical properties, mineralogy, fractures, and flow tests in 25 deep boreholes at Yucca Mountain, Nevada: U.S. Geological Survey Open-File Report 2014-1023, Report: vi, 19 p.; Downloads Directory, https://doi.org/10.3133/ofr20141023.","productDescription":"Report: vi, 19 p.; Downloads Directory","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051310","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":284900,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1023/"},{"id":284903,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1023/downloads/"},{"id":284902,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1023/pdf/of2014-1023.pdf"},{"id":284905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141023.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Yucca Mountain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.500887,36.74929 ], [ -116.500887,36.919932 ], [ -116.374544,36.919932 ], [ -116.374544,36.74929 ], [ -116.500887,36.74929 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6b1ae4b0b29085103ad2","contributors":{"authors":[{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":490067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kibler, Joyce E.","contributorId":56293,"corporation":false,"usgs":true,"family":"Kibler","given":"Joyce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":490068,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70099278,"text":"70099278 - 2014 - 1DTempPro: analyzing temperature profiles for groundwater/surface-water exchange","interactions":[],"lastModifiedDate":"2018-09-14T16:04:54","indexId":"70099278","displayToPublicDate":"2014-03-25T10:06:00","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":"1DTempPro: analyzing temperature profiles for groundwater/surface-water exchange","docAbstract":"A new computer program, 1DTempPro, is presented for the analysis of vertical one-dimensional (1D) temperature profiles under saturated flow conditions. 1DTempPro is a graphical user interface to the U.S. Geological Survey code Variably Saturated 2-Dimensional Heat Transport (VS2DH), which numerically solves the flow and heat-transport equations. Pre- and postprocessor features allow the user to calibrate VS2DH models to estimate vertical groundwater/surface-water exchange and also hydraulic conductivity for cases where hydraulic head is known.","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwat.12051","usgsCitation":"Voytek, E.B., Drenkelfuss, A., Day-Lewis, F.D., Healy, R., Lane, J.W., and Werkema, D.D., 2014, 1DTempPro: analyzing temperature profiles for groundwater/surface-water exchange: Ground Water, v. 52, no. 2, p. 298-302, https://doi.org/10.1111/gwat.12051.","productDescription":"5 p.","startPage":"298","endPage":"302","numberOfPages":"5","ipdsId":"IP-042740","costCenters":[{"id":496,"text":"Office of Groundwater-Branch of Geophysics","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":284767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284376,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12051"}],"volume":"52","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-04-02","publicationStatus":"PW","scienceBaseUri":"53516eb1e4b05569d8059d05","contributors":{"authors":[{"text":"Voytek, Emily B. 0000-0003-0981-453X ebvoytek@usgs.gov","orcid":"https://orcid.org/0000-0003-0981-453X","contributorId":3575,"corporation":false,"usgs":true,"family":"Voytek","given":"Emily","email":"ebvoytek@usgs.gov","middleInitial":"B.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":491941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drenkelfuss, Anja","contributorId":9954,"corporation":false,"usgs":true,"family":"Drenkelfuss","given":"Anja","email":"","affiliations":[],"preferred":false,"id":491942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":491939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Healy, Richard","contributorId":60947,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","affiliations":[],"preferred":false,"id":491944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":491940,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":491943,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70096234,"text":"70096234 - 2014 - Phytoremediation of a petroleum-hydrocarbon contaminated shallow aquifer in Elizabeth City, North Carolina, USA","interactions":[],"lastModifiedDate":"2018-09-14T16:06:39","indexId":"70096234","displayToPublicDate":"2014-03-20T15:28:20","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3249,"text":"Remediation Journal","active":true,"publicationSubtype":{"id":10}},"title":"Phytoremediation of a petroleum-hydrocarbon contaminated shallow aquifer in Elizabeth City, North Carolina, USA","docAbstract":"A former bulk fuel terminal in North Carolina is a groundwater phytoremediation demonstration site where 3,250 hybrid poplars, willows, and pine trees were planted from 2006 to 2008 over approximately 579,000 L of residual gasoline, diesel, and jet fuel. Since 2011, the groundwater altitude is lower in the area with trees than outside the planted area. Soil-gas analyses showed a 95 percent mass loss for total petroleum hydrocarbons (TPH) and a 99 percent mass loss for benzene, toluene, ethylbenzene, and xylenes (BTEX). BTEX and methyl tert-butyl ether concentrations have decreased in groundwater. Interpolations of free-phase, fuel product gauging data show reduced thicknesses across the site and pooling of fuel product where poplar biomass is greatest. Isolated clusters of tree mortalities have persisted in areas with high TPH and BTEX mass. Toxicity assays showed impaired water use for willows and poplars exposed to the site's fuel product, but Populus survival was higher than the willows or pines on-site, even in a noncontaminated control area. All four Populus clones survived well at the site.","language":"English","publisher":"Wiley","doi":"10.1002/rem.21382","usgsCitation":"Nichols, E.G., Cook, R.L., Landmeyer, J., Atkinson, B., Malone, D.R., Shaw, G., and Woods, L., 2014, Phytoremediation of a petroleum-hydrocarbon contaminated shallow aquifer in Elizabeth City, North Carolina, USA: Remediation Journal, v. 24, no. 2, p. 29-46, https://doi.org/10.1002/rem.21382.","productDescription":"18 p.","startPage":"29","endPage":"46","ipdsId":"IP-052835","costCenters":[{"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":488239,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rem.21382","text":"Publisher Index Page"},{"id":287162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287161,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rem.21382"}],"country":"United States","state":"North Carolina","city":"Elizabeth City","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.30,36.26 ], [ -76.30,36.34 ], [ -76.18,36.34 ], [ -76.18,36.26 ], [ -76.30,36.26 ] ] ] } } ] }","volume":"24","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-03-17","publicationStatus":"PW","scienceBaseUri":"53749071e4b0870f4d23cfcd","contributors":{"authors":[{"text":"Nichols, Elizabeth Guthrie","contributorId":51210,"corporation":false,"usgs":true,"family":"Nichols","given":"Elizabeth","email":"","middleInitial":"Guthrie","affiliations":[],"preferred":false,"id":491471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Rachel L.","contributorId":88270,"corporation":false,"usgs":true,"family":"Cook","given":"Rachel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atkinson, Brad","contributorId":77848,"corporation":false,"usgs":true,"family":"Atkinson","given":"Brad","email":"","affiliations":[],"preferred":false,"id":491472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Malone, Donald R.","contributorId":9179,"corporation":false,"usgs":true,"family":"Malone","given":"Donald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":491468,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shaw, George","contributorId":26628,"corporation":false,"usgs":true,"family":"Shaw","given":"George","email":"","affiliations":[],"preferred":false,"id":491469,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Woods, Leilani","contributorId":46011,"corporation":false,"usgs":true,"family":"Woods","given":"Leilani","email":"","affiliations":[],"preferred":false,"id":491470,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70099120,"text":"70099120 - 2014 - Quantity and quality of groundwater discharge in a hypersaline lake environment","interactions":[],"lastModifiedDate":"2017-01-03T14:57:56","indexId":"70099120","displayToPublicDate":"2014-03-20T13:59:00","publicationYear":"2014","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":"Quantity and quality of groundwater discharge in a hypersaline lake environment","docAbstract":"Geophysical and geochemical surveys were conducted to understand groundwater discharge to Great Salt Lake (GSL) and assess the potential significance of groundwater discharge as a source of selenium (Se). Continuous resistivity profiling (CRP) focusing below the sediment/water interface and fiber-optic distributed temperature sensing (FO-DTS) surveys were conducted along the south shore of GSL. FO-DTS surveys identified persistent cold-water temperature anomalies at 10 separate locations. Seepage measurements were conducted at 17 sites (mean seepage rate = 0.8 cm/day). High resistivity anomalies identified by the CRP survey were likely a mirabilite (Na<sub>2</sub>SO<sub>4</sub>·10H<sub>2</sub>O) salt layer acting as a semi-confining layer for the shallow groundwater below the south shore of the lake. Positive seepage rates measured along the near-shore areas of GSL indicate that a ∼1-m thick oolitic sand overlying the mirabilite layer is likely acting as a shallow, unconfined aquifer. Using the average seepage rate of 0.8 cm/day over an area of 1.6 km<sup>2</sup>, an annual Se mass loading to GSL of 23.5 kg was estimated. Determination of R/Ra values (calculated <sup>3</sup>He/<sup>4</sup>He ratio over the present-day atmospheric <sup>3</sup>He/<sup>4</sup>He ratio) <1 and tritium activities of 1.2–2.0 tritium units in groundwater within and below the mirabilite layer indicates a convergence of regional and local groundwater flow paths discharging into GSL. Groundwater within and below the mirabilite layer obtains its high sulfate salinity from the dissolution of mirabilite. The δ<sup>34</sup>S and δ<sup>18</sup>O isotopic values in samples of dissolved sulfate from the shallow groundwater below the mirabilite are almost identical to the isotopic signature of the mirabilite core material. The saturation index calculated for groundwater samples using PHREEQC indicates the water is at equilibrium with mirabilite. Water samples collected from GSL immediately off shore contained Se concentrations that were 3–4 times higher than other sampling sites >25 km offshore from the study site and may be originating from less saline groundwater seeps mixing with the more saline water from GSL. Additional evidence for mixing with near shore seeps is found in the δD and δ<sup>18</sup>O isotopic values and Br:Cl ratios. Geochemical modeling for a water sample collected in the vicinity of the study area indicates that under chemically reducing conditions, arsenic- (As) bearing minerals could dissolve while Se-bearing minerals will likely precipitate out of solution, possibly explaining why the shallow groundwater below and within the mirabilite salt layer contains low concentrations of Se (0.9–2.3 μg/L).","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.02.040","usgsCitation":"Anderson, R., Naftz, D.L., Day-Lewis, F., Henderson, R., Rosenberry, D., Stolp, B., and Jewell, P., 2014, Quantity and quality of groundwater discharge in a hypersaline lake environment: Journal of Hydrology, v. 512, p. 177-194, https://doi.org/10.1016/j.jhydrol.2014.02.040.","productDescription":"18 p.","startPage":"177","endPage":"194","ipdsId":"IP-037434","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":284337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.326622,40.499181 ], [ -112.326622,40.849657 ], [ -111.94931,40.849657 ], [ -111.94931,40.499181 ], [ -112.326622,40.499181 ] ] ] } } ] }","volume":"512","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351705de4b05569d805a383","contributors":{"authors":[{"text":"Anderson, R.B.","contributorId":48693,"corporation":false,"usgs":true,"family":"Anderson","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":491834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naftz, D. L.","contributorId":40624,"corporation":false,"usgs":true,"family":"Naftz","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, F. D. 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":35773,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"F. D.","affiliations":[],"preferred":false,"id":491831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henderson, R.D.","contributorId":14269,"corporation":false,"usgs":true,"family":"Henderson","given":"R.D.","email":"","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":491830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, D.O. 0000-0003-0681-5641","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":38500,"corporation":false,"usgs":true,"family":"Rosenberry","given":"D.O.","affiliations":[],"preferred":true,"id":491832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stolp, Bernard J. 0000-0003-3803-1497","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":71942,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard J.","affiliations":[],"preferred":false,"id":491835,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jewell, P.","contributorId":77843,"corporation":false,"usgs":true,"family":"Jewell","given":"P.","email":"","affiliations":[],"preferred":false,"id":491836,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70094490,"text":"sir20145030 - 2014 - Methods for estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 2011","interactions":[],"lastModifiedDate":"2017-01-17T20:56:35","indexId":"sir20145030","displayToPublicDate":"2014-03-19T14:26:00","publicationYear":"2014","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":"2014-5030","title":"Methods for estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 2011","docAbstract":"<p>Reliable estimates of the magnitude and frequency of floods are essential for the design of transportation and water-conveyance structures, flood-insurance studies, and flood-plain management. Such estimates are particularly important in densely populated urban areas. In order to increase the number of streamflow-gaging stations (streamgages) available for analysis, expand the geographical coverage that would allow for application of regional regression equations across State boundaries, and build on a previous flood-frequency investigation of rural U.S Geological Survey streamgages in the Southeast United States, a multistate approach was used to update methods for determining the magnitude and frequency of floods in urban and small, rural streams that are not substantially affected by regulation or tidal fluctuations in Georgia, South Carolina, and North Carolina. The at-site flood-frequency analysis of annual peak-flow data for urban and small, rural streams (through September 30, 2011) included 116 urban streamgages and 32 small, rural streamgages, defined in this report as basins draining less than 1 square mile. The regional regression analysis included annual peak-flow data from an additional 338 rural streamgages previously included in U.S. Geological Survey flood-frequency reports and 2 additional rural streamgages in North Carolina that were not included in the previous Southeast rural flood-frequency investigation for a total of 488 streamgages included in the urban and small, rural regression analysis. The at-site flood-frequency analyses for the urban and small, rural streamgages included the expected moments algorithm, which is a modification of the Bulletin 17B log-Pearson type III method for fitting the statistical distribution to the logarithms of the annual peak flows. Where applicable, the flood-frequency analysis also included low-outlier and historic information. Additionally, the application of a generalized Grubbs-Becks test allowed for the detection of multiple potentially influential low outliers.</p>\n<br/>\n<p>Streamgage basin characteristics were determined using geographical information system techniques. Initial ordinary least squares regression simulations reduced the number of basin characteristics on the basis of such factors as statistical significance, coefficient of determination, Mallow’s Cp statistic, and ease of measurement of the explanatory variable. Application of generalized least squares regression techniques produced final predictive (regression) equations for estimating the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probability flows for urban and small, rural ungaged basins for three hydrologic regions (HR1, Piedmont–Ridge and Valley; HR3, Sand Hills; and HR4, Coastal Plain), which previously had been defined from exploratory regression analysis in the Southeast rural flood-frequency investigation. Because of the limited availability of urban streamgages in the Coastal Plain of Georgia, South Carolina, and North Carolina, additional urban streamgages in Florida and New Jersey were used in the regression analysis for this region. Including the urban streamgages in New Jersey allowed for the expansion of the applicability of the predictive equations in the Coastal Plain from 3.5 to 53.5 square miles. Average standard error of prediction for the predictive equations, which is a measure of the average accuracy of the regression equations when predicting flood estimates for ungaged sites, range from 25.0 percent for the 10-percent annual exceedance probability regression equation for the Piedmont–Ridge and Valley region to 73.3 percent for the 0.2-percent annual exceedance probability regression equation for the Sand Hills region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145030","collaboration":"Prepared in cooperation with the South Carolina Department of Transportation, Office of Materials and Research, and the North Carolina Department of Transportation, Division of Highways (Hydraulics Unit)","usgsCitation":"Feaster, T., Gotvald, A.J., and Weaver, J., 2014, Methods for estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 2011 (First posted March 19, 2014; Revised March 26, 2014, ver. 1.1): U.S. Geological Survey Scientific Investigations Report 2014-5030, Report: vii, 104 p.; Application-of-Methods-Tool, https://doi.org/10.3133/sir20145030.","productDescription":"Report: vii, 104 p.; Application-of-Methods-Tool","numberOfPages":"116","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051253","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":284263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145030.jpg"},{"id":284261,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5030/pdf/sir2014-5030.pdf"},{"id":284260,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5030/"},{"id":284262,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5030/sir2014-5030_applications_tool-ver1.1.xlsx"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.04,29.95 ], [ -86.04,38.01 ], [ -74.69,38.01 ], [ -74.69,29.95 ], [ -86.04,29.95 ] ] ] } } ] }","edition":"First posted March 19, 2014; Revised March 26, 2014, ver. 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517055e4b05569d805a32a","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":490633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weaver, J. Curtis","contributorId":42260,"corporation":false,"usgs":true,"family":"Weaver","given":"J. Curtis","affiliations":[],"preferred":false,"id":490635,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094151,"text":"sir20145028 - 2014 - Surface-water and karst groundwater interactions and streamflow-response simulations of the karst-influenced upper Lost River watershed, Orange County, Indiana","interactions":[],"lastModifiedDate":"2014-04-07T09:53:30","indexId":"sir20145028","displayToPublicDate":"2014-03-18T14:43:00","publicationYear":"2014","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":"2014-5028","title":"Surface-water and karst groundwater interactions and streamflow-response simulations of the karst-influenced upper Lost River watershed, Orange County, Indiana","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE) and the Indiana Office of Community and Rural Affairs (OCRA), conducted a study of the upper Lost River watershed in Orange County, Indiana, from 2012 to 2013. Streamflow and groundwater data were collected at 10 data-collection sites from at least October 2012 until April 2013, and a preliminary Water Availability Tool for Environmental Resources (WATER)-TOPMODEL based hydrologic model was created to increase understanding of the complex, karstic hydraulic and hydrologic system present in the upper Lost River watershed, Orange County, Ind. Statistical assessment of the optimized hydrologic-model results were promising and returned correlation coefficients for simulated and measured stream discharge of 0.58 and 0.60 and Nash-Sutcliffe efficiency values of 0.56 and 0.39 for USGS streamflow-gaging stations 03373530 (Lost River near Leipsic, Ind.), and 03373560 (Lost River near Prospect, Ind.), respectively. Additional information to refine drainage divides is needed before applying the model to the entire karst region of south-central Indiana. Surface-water and groundwater data were used to tentatively quantify the complex hydrologic processes taking place within the watershed and provide increased understanding for future modeling and management applications. The data indicate that during wet-weather periods and after certain intense storms, the hydraulic capacity of swallow holes and subsurface conduits is overwhelmed with excess water that flows onto the surface in dry-bed relic stream channels and karst paleovalleys. Analysis of discharge data collected at USGS streamflow-gaging station 03373550 (Orangeville Rise, at Orangeville, Ind.), and other ancillary data-collection sites in the watershed, indicate that a bounding condition is likely present, and drainage from the underlying karst conduit system is potentially limited to near 200 cubic feet per second. This information will direct future studies and assist managers in understanding when the subsurface conduits may become overwhelmed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145028","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and the Indiana Office of Community and Rural Affairs (OCRA)","usgsCitation":"Bayless, E.R., Cinotto, P.J., Ulery, R.L., Taylor, C.J., McCombs, G.K., Kim, M.H., and Nelson, H.L., 2014, Surface-water and karst groundwater interactions and streamflow-response simulations of the karst-influenced upper Lost River watershed, Orange County, Indiana (Originally posted March 18, 2014; Revised April 7, 2014): U.S. Geological Survey Scientific Investigations Report 2014-5028, viii, 39 p., https://doi.org/10.3133/sir20145028.","productDescription":"viii, 39 p.","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-040755","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":284186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145028.jpg"},{"id":284185,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5028/pdf/sir2014-5028.pdf"},{"id":284184,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5028/"}],"scale":"100000","country":"United States","state":"Indiana","county":"Orange County","otherGeospatial":"Upper Lost River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.66,38.416 ], [ -86.66,38.766 ], [ -86.166,38.766 ], [ -86.166,38.416 ], [ -86.66,38.416 ] ] ] } } ] }","edition":"Originally posted March 18, 2014; Revised April 7, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517065e4b05569d805a3d3","contributors":{"authors":[{"text":"Bayless, E. Randall 0000-0002-0357-3635","orcid":"https://orcid.org/0000-0002-0357-3635","contributorId":42586,"corporation":false,"usgs":true,"family":"Bayless","given":"E.","email":"","middleInitial":"Randall","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cinotto, Peter J. pcinotto@usgs.gov","contributorId":451,"corporation":false,"usgs":true,"family":"Cinotto","given":"Peter","email":"pcinotto@usgs.gov","middleInitial":"J.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ulery, Randy L. rlulery@usgs.gov","contributorId":4679,"corporation":false,"usgs":true,"family":"Ulery","given":"Randy","email":"rlulery@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":490453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Charles J.","contributorId":93100,"corporation":false,"usgs":true,"family":"Taylor","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCombs, Gregory K. gmccombs@usgs.gov","contributorId":5429,"corporation":false,"usgs":true,"family":"McCombs","given":"Gregory","email":"gmccombs@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":490454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, Moon H. 0000-0002-4328-8409 mkim@usgs.gov","orcid":"https://orcid.org/0000-0002-4328-8409","contributorId":3211,"corporation":false,"usgs":true,"family":"Kim","given":"Moon","email":"mkim@usgs.gov","middleInitial":"H.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490451,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, Hugh L. hlnelson@usgs.gov","contributorId":4158,"corporation":false,"usgs":true,"family":"Nelson","given":"Hugh","email":"hlnelson@usgs.gov","middleInitial":"L.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490452,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70098419,"text":"70098419 - 2014 - How mangrove forests adjust to rising sea level","interactions":[],"lastModifiedDate":"2014-03-18T13:33:59","indexId":"70098419","displayToPublicDate":"2014-03-18T13:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"How mangrove forests adjust to rising sea level","docAbstract":"Mangroves are among the most well described and widely studied wetland communities in the world. The greatest threats to mangrove persistence are deforestation and other anthropogenic disturbances that can compromise habitat stability and resilience to sea-level rise. To persist, mangrove ecosystems must adjust to rising sea level by building vertically or become submerged. Mangroves may directly or indirectly influence soil accretion processes through the production and accumulation of organic matter, as well as the trapping and retention of mineral sediment. In this review, we provide a general overview of research on mangrove elevation dynamics, emphasizing the role of the vegetation in maintaining soil surface elevations (i.e. position of the soil surface in the vertical plane). We summarize the primary ways in which mangroves may influence sediment accretion and vertical land development, for example, through root contributions to soil volume and upward expansion of the soil surface. We also examine how hydrological, geomorphological and climatic processes may interact with plant processes to influence mangrove capacity to keep pace with rising sea level. We draw on a variety of studies to describe the important, and often under-appreciated, role that plants play in shaping the trajectory of an ecosystem undergoing change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"New Phytologist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/nph.12605","usgsCitation":"Krauss, K.W., McKee, K.L., Lovelock, C.E., Cahoon, D.R., Saintilan, N., Reef, R., and Chen, L., 2014, How mangrove forests adjust to rising sea level: New Phytologist, v. 202, no. 1, p. 19-34, https://doi.org/10.1111/nph.12605.","productDescription":"16 p.","startPage":"19","endPage":"34","numberOfPages":"16","ipdsId":"IP-049944","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":284172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284147,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/nph.12605"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"202","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-19","publicationStatus":"PW","scienceBaseUri":"53cd60c5e4b0b290850fd239","contributors":{"authors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":491702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKee, Karen L. 0000-0001-7042-670X","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":8927,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovelock, Catherine E.","contributorId":64787,"corporation":false,"usgs":true,"family":"Lovelock","given":"Catherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":491707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":491703,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saintilan, Neil","contributorId":31670,"corporation":false,"usgs":true,"family":"Saintilan","given":"Neil","email":"","affiliations":[],"preferred":false,"id":491705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reef, Ruth","contributorId":44826,"corporation":false,"usgs":true,"family":"Reef","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":491706,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Luzhen","contributorId":71474,"corporation":false,"usgs":true,"family":"Chen","given":"Luzhen","affiliations":[],"preferred":false,"id":491708,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70098422,"text":"70098422 - 2014 - Does water chemistry affect the dietary uptake and toxicity of silver nanoparticles by the freshwater snail <i>Lymnaea stagnalis</i>?","interactions":[],"lastModifiedDate":"2018-09-04T16:34:57","indexId":"70098422","displayToPublicDate":"2014-03-18T13:18:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Does water chemistry affect the dietary uptake and toxicity of silver nanoparticles by the freshwater snail <i>Lymnaea stagnalis</i>?","docAbstract":"Silver nanoparticles (AgNPs) are widely used in many applications and likely released into the aquatic environment. There is increasing evidence that Ag is efficiently delivered to aquatic organisms from AgNPs after aqueous and dietary exposures. Accumulation of AgNPs through the diet can damage digestion and adversely affect growth. It is well recognized that aspects of water quality, such as hardness, affect the bioavailability and toxicity of waterborne Ag. However, the influence of water chemistry on the bioavailability and toxicity of dietborne AgNPs to aquatic invertebrates is largely unknown. Here we characterize for the first time the effects of water hardness and humic acids on the bioaccumulation and toxicity of AgNPs coated with polyvinyl pyrrolidone (PVP) to the freshwater snail <i>Lymnaea stagnalis</i> after dietary exposures. Our results indicate that bioaccumulation and toxicity of Ag from PVP-AgNPs ingested with food are not affected by water hardness and by humic acids, although both could affect interactions with the biological membrane and trigger nanoparticle transformations. Snails efficiently assimilated Ag from the PVP-AgNPs mixed with diatoms (Ag assimilation efficiencies ranged from 82 to 93%). Rate constants of Ag uptake from food were similar across the entire range of water hardness and humic acid concentrations. These results suggest that correcting regulations for water quality could be irrelevant and ineffective where dietary exposure is important.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Pollution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2014.02.010","usgsCitation":"Lopez-Serrano Oliver, A., Croteau, M., Stoiber, T., Tejamaya, M., Römer, I., Lead, J.R., and Luoma, S.N., 2014, Does water chemistry affect the dietary uptake and toxicity of silver nanoparticles by the freshwater snail <i>Lymnaea stagnalis</i>?: Environmental Pollution, v. 189, p. 87-91, https://doi.org/10.1016/j.envpol.2014.02.010.","productDescription":"5 p.","startPage":"87","endPage":"91","numberOfPages":"5","ipdsId":"IP-054217","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":284171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284170,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envpol.2014.02.010"}],"volume":"189","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517034e4b05569d805a1cd","contributors":{"authors":[{"text":"Lopez-Serrano Oliver, Ana","contributorId":85083,"corporation":false,"usgs":true,"family":"Lopez-Serrano Oliver","given":"Ana","email":"","affiliations":[],"preferred":false,"id":491714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie-Noële","contributorId":22863,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie-Noële","affiliations":[],"preferred":false,"id":491712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoiber, Tasha L.","contributorId":91402,"corporation":false,"usgs":false,"family":"Stoiber","given":"Tasha L.","affiliations":[],"preferred":false,"id":491715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tejamaya, Mila","contributorId":93375,"corporation":false,"usgs":false,"family":"Tejamaya","given":"Mila","email":"","affiliations":[],"preferred":false,"id":491716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Römer, Isabella","contributorId":17133,"corporation":false,"usgs":true,"family":"Römer","given":"Isabella","affiliations":[],"preferred":false,"id":491711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lead, Jamie R.","contributorId":41331,"corporation":false,"usgs":false,"family":"Lead","given":"Jamie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":491713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":491710,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70055555,"text":"tm4A9 - 2014 - HydroClimATe: hydrologic and climatic analysis toolkit","interactions":[],"lastModifiedDate":"2018-04-02T15:21:11","indexId":"tm4A9","displayToPublicDate":"2014-03-17T14:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"4-A9","title":"HydroClimATe: hydrologic and climatic analysis toolkit","docAbstract":"The potential consequences of climate variability and climate change have been identified as major issues for the sustainability and availability of the worldwide water resources. Unlike global climate change, climate variability represents deviations from the long-term state of the climate over periods of a few years to several decades. Currently, rich hydrologic time-series data are available, but the combination of data preparation and statistical methods developed by the U.S. Geological Survey as part of the Groundwater Resources Program is relatively unavailable to hydrologists and engineers who could benefit from estimates of climate variability and its effects on periodic recharge and water-resource availability. This report documents HydroClimATe, a computer program for assessing the relations between variable climatic and hydrologic time-series data. HydroClimATe was developed for a Windows operating system. The software includes statistical tools for (1) time-series preprocessing, (2) spectral analysis, (3) spatial and temporal analysis, (4) correlation analysis, and (5) projections. The time-series preprocessing tools include spline fitting, standardization using a normal or gamma distribution, and transformation by a cumulative departure. The spectral analysis tools include discrete Fourier transform, maximum entropy method, and singular spectrum analysis. The spatial and temporal analysis tool is empirical orthogonal function analysis. The correlation analysis tools are linear regression and lag correlation. The projection tools include autoregressive time-series modeling and generation of many realizations. These tools are demonstrated in four examples that use stream-flow discharge data, groundwater-level records, gridded time series of precipitation data, and the Multivariate ENSO Index.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Statistical analysis in Book 4 <i>Hydrologic Analysis and Interpretation</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4A9","collaboration":"Groundwater Resources Program. This report is Chapter 9 of Section A: Statistical analysis in Book 4 <i>Hydrologic Analysis and Interpretation</i>.","usgsCitation":"Dickinson, J.E., Hanson, R.T., and Predmore, S.K., 2014, HydroClimATe: hydrologic and climatic analysis toolkit: U.S. Geological Survey Techniques and Methods 4-A9, x, 48 p., https://doi.org/10.3133/tm4A9.","productDescription":"x, 48 p.","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-035956","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":284093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm4A9.jpg"},{"id":284091,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm4a9/"},{"id":284092,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm4a9/pdf/tm4-a9.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd60efe4b0b290850fd3b7","contributors":{"authors":[{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Predmore, Steven K. spredmor@usgs.gov","contributorId":1512,"corporation":false,"usgs":true,"family":"Predmore","given":"Steven","email":"spredmor@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":486144,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70099919,"text":"70099919 - 2014 - Floodplain biogeochemical processing of floodwaters in the Atchafalaya River Basin during the Mississippi River flood of 2011","interactions":[],"lastModifiedDate":"2014-05-16T16:09:35","indexId":"70099919","displayToPublicDate":"2014-03-17T09:04:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Floodplain biogeochemical processing of floodwaters in the Atchafalaya River Basin during the Mississippi River flood of 2011","docAbstract":"The 2011 flood in the Lower Mississippi resulted in the second highest recorded river flow diverted into the Atchafalaya River Basin (ARB). The higher water levels during the flood peak resulted in high hydrologic connectivity between the Atchafalaya River and floodplain, with up to 50% of the Atchafalaya River water moving off channel. Water quality samples were collected throughout the ARB over the course of the flood event. Significant nitrate (NO<sub>3</sub>-) reduction (75%) occurred within the floodplain, resulting in a total NO<sub>3</sub>- reduction of 16.6% over the flood. The floodplain was a small but measurable source of dissolved reactive phosphorus (SRP) and ammonium (NH<sub>4</sub>+). Collectively, these results from this large flood event suggest that enhancing river-floodplain connectivity through freshwater diversions will reduce NO<sub>3</sub>- loads to the Gulf of Mexico during large annual floods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2013JG002477","usgsCitation":"Scott, D.T., Keim, R., Edwards, B., Jones, C.N., and Kroes, D.E., 2014, Floodplain biogeochemical processing of floodwaters in the Atchafalaya River Basin during the Mississippi River flood of 2011: Journal of Geophysical Research: Biogeosciences, v. 119, no. 4, p. 537-546, https://doi.org/10.1002/2013JG002477.","productDescription":"10 p.","startPage":"537","endPage":"546","numberOfPages":"10","ipdsId":"IP-054527","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":473106,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jg002477","text":"Publisher Index Page"},{"id":285087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285086,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013JG002477"}],"country":"United States","state":"Louisiana","otherGeospatial":"Atchafalaya River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.8258,29.4749 ], [ -91.8258,31.0271 ], [ -91.1721,31.0271 ], [ -91.1721,29.4749 ], [ -91.8258,29.4749 ] ] ] } } ] }","volume":"119","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-04-21","publicationStatus":"PW","scienceBaseUri":"5351703ce4b05569d805a206","contributors":{"authors":[{"text":"Scott, Durelle T.","contributorId":102383,"corporation":false,"usgs":true,"family":"Scott","given":"Durelle","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":492068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keim, Richard F.","contributorId":21858,"corporation":false,"usgs":true,"family":"Keim","given":"Richard F.","affiliations":[],"preferred":false,"id":492064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Brandon L.","contributorId":35231,"corporation":false,"usgs":true,"family":"Edwards","given":"Brandon L.","affiliations":[],"preferred":false,"id":492066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, C. Nathan","contributorId":38894,"corporation":false,"usgs":true,"family":"Jones","given":"C.","email":"","middleInitial":"Nathan","affiliations":[],"preferred":false,"id":492067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kroes, Daniel E.","contributorId":32260,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":492065,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70095788,"text":"70095788 - 2014 - Applying downscaled global climate model data to a hydrodynamic surface-water and groundwater model","interactions":[],"lastModifiedDate":"2014-03-11T12:58:56","indexId":"70095788","displayToPublicDate":"2014-03-11T12:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":725,"text":"American Journal of Climate Change","active":true,"publicationSubtype":{"id":10}},"title":"Applying downscaled global climate model data to a hydrodynamic surface-water and groundwater model","docAbstract":"Precipitation data from Global Climate Models have been downscaled to smaller regions. Adapting this downscaled precipitation data to a coupled hydrodynamic surface-water/groundwater model of southern Florida allows an examination of future conditions and their effect on groundwater levels, inundation patterns, surface-water stage and flows, and salinity. The downscaled rainfall data include the 1996-2001 time series from the European Center for Medium-Range Weather Forecasting ERA-40 simulation and both the 1996-1999 and 2038-2057 time series from two global climate models: the Community Climate System Model (CCSM) and the Geophysical Fluid Dynamic Laboratory (GFDL). Synthesized surface-water inflow datasets were developed for the 2038-2057 simulations. The resulting hydrologic simulations, with and without a 30-cm sea-level rise, were compared with each other and field data to analyze a range of projected conditions. Simulations predicted generally higher future stage and groundwater levels and surface-water flows, with sea-level rise inducing higher coastal salinities. A coincident rise in sea level, precipitation and surface-water flows resulted in a narrower inland saline/fresh transition zone. The inland areas were affected more by the rainfall difference than the sea-level rise, and the rainfall differences make little difference in coastal inundation, but a larger difference in coastal salinities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Journal of Climate Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Scientific Research Publishing Inc.","publisherLocation":"Irvine, CA","doi":"10.4236/ajcc.2014.31004","usgsCitation":"Swain, E., Stefanova, L., and Smith, T., 2014, Applying downscaled global climate model data to a hydrodynamic surface-water and groundwater model: American Journal of Climate Change, v. 3, no. 1, p. 33-49, https://doi.org/10.4236/ajcc.2014.31004.","productDescription":"17 p.","startPage":"33","endPage":"49","numberOfPages":"17","ipdsId":"IP-038872","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":473113,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/ajcc.2014.31004","text":"Publisher Index Page"},{"id":283835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283834,"type":{"id":15,"text":"Index Page"},"url":"https://www.scirp.org/journal/PaperInformation.aspx?PaperID=43632#.Ux9OwPRDuVM"},{"id":283774,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4236/ajcc.2014.31004"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.8998,24.5211 ], [ -82.8998,27.8146 ], [ 24.5211,27.8146 ], [ 24.5211,24.5211 ], [ -82.8998,24.5211 ] ] ] } } ] }","volume":"3","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351701ee4b05569d805a156","contributors":{"authors":[{"text":"Swain, Eric 0000-0001-7168-708X","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":23347,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","affiliations":[],"preferred":false,"id":491434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stefanova, Lydia","contributorId":48300,"corporation":false,"usgs":true,"family":"Stefanova","given":"Lydia","email":"","affiliations":[],"preferred":false,"id":491436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Thomas","contributorId":46416,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","affiliations":[],"preferred":false,"id":491435,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048055,"text":"70048055 - 2014 - Antecedent flow conditions and nitrate concentrations in the Mississippi River basin","interactions":[],"lastModifiedDate":"2014-06-04T11:15:54","indexId":"70048055","displayToPublicDate":"2014-03-10T09:35:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Antecedent flow conditions and nitrate concentrations in the Mississippi River basin","docAbstract":"The relationship between antecedent flow conditions and nitrate concentrations was explored at eight sites in the 2.9 million square kilometers (km<sup>2</sup>) Mississippi River basin, USA. Antecedent flow conditions were quantified as the ratio between the mean daily flow of the previous year and the mean daily flow from the period of record (Qratio), and the Qratio was statistically related to nitrate anomalies (the unexplained variability in nitrate concentration after filtering out season, long-term trend, and contemporaneous flow effects) at each site. Nitrate anomaly and Qratio were negatively related at three of the four major tributary sites and upstream in the Mississippi River, indicating that when mean daily streamflow during the previous year was lower than average, nitrate concentrations were higher than expected. The strength of these relationships increased when data were subdivided by contemporaneous flow conditions. Five of the eight sites had significant negative relationships (<i>p</i> ≤ 0.05) at high or moderately high contemporaneous flows, suggesting nitrate that accumulates in these basins during a drought is flushed during subsequent high flows. At half of the sites, when mean daily flow during the previous year was 50 percent lower than average, nitrate concentration can be from 9 to 27 percent higher than nitrate concentrations that follow a year with average mean daily flow. Conversely, nitrate concentration can be from 8 to 21 percent lower than expected when flow during the previous year was 50 percent higher than average. Previously documented for small, relatively homogenous basins, our results suggest that relationships between antecedent flows and nitrate concentrations are also observable at a regional scale. Relationships were not observed (using all contemporaneous flow data together) for basins larger than 1 million km<sup>2</sup>, suggesting that above this limit the overall size and diversity within these basins may necessitate the use of more complicated statistical approaches or that there may be no discernible basin-wide relationship with antecedent flow. The relationships between nitrate concentration and Qratio identified in this study serve as the basis for future studies that can better define specific hydrologic processes occurring during and after a drought (or high flow period) which influence nitrate concentration, such as the duration or magnitude of low flows, and the timing of low and high flows.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrology and Earth System Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Hydrology and Earth System Science","doi":"10.5194/hessd-10-11451-2013","usgsCitation":"Murphy, J.C., Hirsch, R.M., and Sprague, L.A., 2014, Antecedent flow conditions and nitrate concentrations in the Mississippi River basin: Hydrology and Earth System Sciences, p. 967-979, https://doi.org/10.5194/hessd-10-11451-2013.","productDescription":"13 p.","startPage":"967","endPage":"979","ipdsId":"IP-045515","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":473114,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hessd-10-11451-2013","text":"Publisher Index Page"},{"id":288062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277439,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/hessd-10-11451-2013"}],"country":"United States","otherGeospatial":"Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53903fe4e4b04eea98bf84ed","contributors":{"authors":[{"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":483677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":483676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":483675,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70068816,"text":"ds818 - 2014 - Quality of surface water in Missouri, water year 2012","interactions":[],"lastModifiedDate":"2016-08-10T11:14:27","indexId":"ds818","displayToPublicDate":"2014-03-05T11:17:06","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"818","title":"Quality of surface water in Missouri, water year 2012","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, designed and operates a series of monitoring stations on streams and springs throughout Missouri known as the Ambient Water-Quality Monitoring Network. During the 2012 water year (October 1, 2011, through September 30, 2012), data were collected at 81 stations&mdash;73 Ambient Water-Quality Monitoring Network stations, 6 alternate Ambient Water-Quality Monitoring Network stations, and 2 U.S. Geological Survey National Stream Quality Accounting Network stations. Dissolved oxygen, specific conductance, water temperature, suspended solids, suspended sediment, fecal coliform bacteria, Escherichia coli bacteria, dissolved nitrate plus nitrite as nitrogen, total phosphorus, dissolved and total recoverable lead and zinc, and select pesticide compound summaries are presented for 78 of these stations. The stations primarily have been classified into groups corresponding to the physiography of the State, primary land use, or unique station types. In addition, a summary of hydrologic conditions in the State including peak discharges, monthly mean discharges, and 7-day low flow is presented.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds818","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Barr, M.N., 2014, Quality of surface water in Missouri, water year 2012: U.S. Geological Survey Data Series 818, iv, 24 p., https://doi.org/10.3133/ds818.","productDescription":"iv, 24 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051073","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":283383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds818.jpg"},{"id":283381,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/818/"},{"id":283382,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/818/pdf/ds818.pdf"}],"country":"United States","state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.77,36.0 ], [ -95.77,40.61 ], [ -89.1,40.61 ], [ -89.1,36.0 ], [ -95.77,36.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6ea1e4b0b29085105e7d","contributors":{"authors":[{"text":"Barr, Miya N. 0000-0002-9961-9190 mnbarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9961-9190","contributorId":3686,"corporation":false,"usgs":true,"family":"Barr","given":"Miya","email":"mnbarr@usgs.gov","middleInitial":"N.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488145,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70056140,"text":"sir20135201 - 2014 - Simulation of groundwater flow pathlines and freshwater/saltwater transition zone movement, Manhasset Neck, Nassau County, New York","interactions":[],"lastModifiedDate":"2014-07-11T12:42:53","indexId":"sir20135201","displayToPublicDate":"2014-03-05T09:55:00","publicationYear":"2014","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":"2013-5201","title":"Simulation of groundwater flow pathlines and freshwater/saltwater transition zone movement, Manhasset Neck, Nassau County, New York","docAbstract":"A density-dependent groundwater flow and solute transport model of Manhasset Neck, Long Island, New York, was used to analyze (1) the effects of seasonal stress on the position of the freshwater/saltwater transition zone and (2) groundwater flowpaths. The following were used in the simulation: 182 transient stress periods, representing the historical record from 1920 to 2011, and 44 transient stress periods, representing future hypothetical conditions from 2011 to 2030. Simulated water-level and salinity (chloride concentration) values are compared with values from a previously developed two-stress-period (1905–1944 and 1945–2005) model. The 182-stress-period model produced salinity (chloride concentration) values that more accurately matched the observed salinity (chloride concentration) values in response to hydrologic stress than did the two-stress-period model, and salinity ranged from zero to about 3 parts per thousand (equivalent to zero to 1,660 milligrams per liter chloride). The 182-stress-period model produced improved calibration statistics of water-level measurements made throughout the study area than did the two-stress-period model, reducing the Lloyd aquifer root mean square error from 7.0 to 5.2 feet. Decreasing horizontal and vertical hydraulic conductivities (fixed anisotropy ratio) of the Lloyd and North Shore aquifers by 20 percent resulted in nearly doubling the simulated salinity(chloride concentration) increase at Port Washington observation well N12508. Groundwater flowpath analysis was completed for 24 production wells to delineate water source areas. The freshwater/saltwater transition zone moved toward and(or) away from wells during future hypothetical scenarios.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135201","collaboration":"Prepared in cooperation with the Town of North Hempstead and the New York State Department of Environmental Conservation","usgsCitation":"Misut, P., and Aphale, O., 2014, Simulation of groundwater flow pathlines and freshwater/saltwater transition zone movement, Manhasset Neck, Nassau County, New York (First posted March 5, 2014; Version 1.1, July 11, 2014): U.S. Geological Survey Scientific Investigations Report 2013-5201, Report: vii, 44 p.; 2 Videos, https://doi.org/10.3133/sir20135201.","productDescription":"Report: vii, 44 p.; 2 Videos","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-034695","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":283379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135201.jpg"},{"id":283375,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5201/"},{"id":283377,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5201/video/sir2013-5201_video1.mp4"},{"id":283378,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5201/video/sir2013-5201_video2.mp4"},{"id":283376,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5201/pdf/sir2013-5201.pdf"}],"country":"United States","state":"New York","county":"Nassau County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.76,40.6 ], [ -73.76,41.0 ], [ -73.5,41.0 ], [ -73.5,40.6 ], [ -73.76,40.6 ] ] ] } } ] }","edition":"First posted March 5, 2014; Version 1.1, July 11, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517062e4b05569d805a3b1","contributors":{"authors":[{"text":"Misut, Paul","contributorId":93822,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","affiliations":[],"preferred":false,"id":486326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aphale, Omkar","contributorId":47695,"corporation":false,"usgs":true,"family":"Aphale","given":"Omkar","email":"","affiliations":[],"preferred":false,"id":486325,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70129176,"text":"70129176 - 2014 - Analysis of the present and future winter Pacific-North American teleconnection in the ECHAM5 global and RegCM3 regional climate models","interactions":[],"lastModifiedDate":"2014-10-17T15:29:35","indexId":"70129176","displayToPublicDate":"2014-03-01T15:23:49","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1248,"text":"Climate Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of the present and future winter Pacific-North American teleconnection in the ECHAM5 global and RegCM3 regional climate models","docAbstract":"We use the NCEP/NCAR Reanalysis (NCEP) and the MPI/ECHAM5 general circulation model to drive the RegCM3 regional climate model to assess the ability of the models to reproduce the spatiotemporal aspects of the Pacific-North American teleconnection (PNA) pattern. Composite anomalies of the NCEP-driven RegCM3 simulations for 1982–2000 indicate that the regional model is capable of accurately simulating the key features (500-hPa heights, surface temperature, and precipitation) of the positive and negative phases of the PNA with little loss of information in the downscaling process. The basic structure of the PNA is captured in both the ECHAM5 global and ECHAM5-driven RegCM3 simulations. The 1950–2000 ECHAM5 simulation displays similar temporal and spatial variability in the PNA index as that of NCEP; however, the magnitudes of the positive and negative phases are weaker than those of NCEP. The RegCM3 simulations clearly differentiate the climatology and associated anomalies of snow water equivalent and soil moisture of the positive and negative PNA phases. In the RegCM3 simulations of the future (2050–2100), changes in the location and extent of the Aleutian low and the continental high over North America alter the dominant flow patterns associated with positive and negative PNA modes. The future projections display a shift in the patterns of the relationship between the PNA and surface climate variables, which suggest the potential for changes in the PNA-related surface hydrology of North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climate Dynamics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00382-013-1910-x","usgsCitation":"Allan, A.M., Hostetler, S.W., and Alder, J.R., 2014, Analysis of the present and future winter Pacific-North American teleconnection in the ECHAM5 global and RegCM3 regional climate models: Climate Dynamics, v. 42, no. 5-6, p. 1671-1682, https://doi.org/10.1007/s00382-013-1910-x.","productDescription":"12 p.","startPage":"1671","endPage":"1682","numberOfPages":"12","ipdsId":"IP-049534","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":295469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295465,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00382-013-1910-x"}],"otherGeospatial":"North America, North Pacific","volume":"42","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2013-08-18","publicationStatus":"PW","scienceBaseUri":"54422f9be4b0192a5a42f3ce","contributors":{"authors":[{"text":"Allan, Andrea M.","contributorId":24714,"corporation":false,"usgs":true,"family":"Allan","given":"Andrea","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":503509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":503507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":503508,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70058544,"text":"70058544 - 2014 - Sampling trace organic compounds in water: a comparison of a continuous active sampler to continuous passive and discrete sampling methods","interactions":[],"lastModifiedDate":"2018-09-04T16:30:43","indexId":"70058544","displayToPublicDate":"2014-03-01T12:56:45","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":"Sampling trace organic compounds in water: a comparison of a continuous active sampler to continuous passive and discrete sampling methods","docAbstract":"A continuous active sampling method was compared to continuous passive and discrete sampling methods for the sampling of trace organic compounds (TOCs) in water. Results from each method are compared and contrasted in order to provide information for future investigators to use while selecting appropriate sampling methods for their research. The continuous low-level aquatic monitoring (CLAM) sampler (C.I.Agent® Storm-Water Solutions) is a submersible, low flow-rate sampler, that continuously draws water through solid-phase extraction media. CLAM samplers were deployed at two wastewater-dominated stream field sites in conjunction with the deployment of polar organic chemical integrative samplers (POCIS) and the collection of discrete (grab) water samples. All samples were analyzed for a suite of 69 TOCs. The CLAM and POCIS samples represent time-integrated samples that accumulate the TOCs present in the water over the deployment period (19–23 h for CLAM and 29 days for POCIS); the discrete samples represent only the TOCs present in the water at the time and place of sampling. Non-metric multi-dimensional scaling and cluster analysis were used to examine patterns in both TOC detections and relative concentrations between the three sampling methods. A greater number of TOCs were detected in the CLAM samples than in corresponding discrete and POCIS samples, but TOC concentrations in the CLAM samples were significantly lower than in the discrete and (or) POCIS samples. Thirteen TOCs of varying polarity were detected by all of the three methods. TOC detections and concentrations obtained by the three sampling methods, however, are dependent on multiple factors. This study found that stream discharge, constituent loading, and compound type all affected TOC concentrations detected by each method. In addition, TOC detections and concentrations were affected by the reporting limits, bias, recovery, and performance of each method.","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.2013.12.082","usgsCitation":"Coes, A.L., Paretti, N., Foreman, W., Iverson, J.L., and Alvarez, D., 2014, Sampling trace organic compounds in water: a comparison of a continuous active sampler to continuous passive and discrete sampling methods: Science of the Total Environment, v. 473-474, p. 731-741, https://doi.org/10.1016/j.scitotenv.2013.12.082.","productDescription":"11 p.","startPage":"731","endPage":"741","ipdsId":"IP-043359","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":287132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287131,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.12.082"}],"volume":"473-474","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53749076e4b0870f4d23cff1","contributors":{"authors":[{"text":"Coes, Alissa L. 0000-0001-6682-5417 alcoes@usgs.gov","orcid":"https://orcid.org/0000-0001-6682-5417","contributorId":4231,"corporation":false,"usgs":true,"family":"Coes","given":"Alissa","email":"alcoes@usgs.gov","middleInitial":"L.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paretti, Nicholas V. nparetti@usgs.gov","contributorId":802,"corporation":false,"usgs":true,"family":"Paretti","given":"Nicholas V.","email":"nparetti@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":487166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iverson, Jana L. jiverson@usgs.gov","contributorId":5564,"corporation":false,"usgs":true,"family":"Iverson","given":"Jana","email":"jiverson@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":487168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alvarez, David A.","contributorId":72755,"corporation":false,"usgs":true,"family":"Alvarez","given":"David A.","affiliations":[],"preferred":false,"id":487169,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148667,"text":"70148667 - 2014 - Survival and behaviour of juvenile unionid mussels exposed to thermal stress and dewatering in the presence of a sediment temperature gradient","interactions":[],"lastModifiedDate":"2015-06-19T09:38:56","indexId":"70148667","displayToPublicDate":"2014-03-01T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Survival and behaviour of juvenile unionid mussels exposed to thermal stress and dewatering in the presence of a sediment temperature gradient","docAbstract":"<ol id=\"fwb12290-list-0001\" class=\"numbered\">\n<li>Freshwater mussels (Unionidae) are a highly imperilled faunal group. One critical threat is thermal sensitivity, because global climate change and other anthropogenic activities contribute to increasing stream temperature and altered hydrologic flow that may be detrimental to freshwater mussels.</li>\n<li>We incorporated four benthic environmental components - temperature, sediment, water level (a surrogate for flow) and a vertical thermal gradient in the sediment column - in laboratory mesocosm experiments with juveniles of two species of freshwater mussels (<i>Lampsilis abrupta</i> and <i>Lampsilis radiata</i>) and tested their effects on survival, burrowing behaviour and byssus production.</li>\n<li>Increasing temperature diminished burrowing behaviour significantly in both species (<i>P</i> &lt; 0.01), and the dewatered treatment significantly reduced burrowing in <i>L. radiata</i>, compared with that in the watered treatment. Increasing temperature also significantly reduced byssus production in both species (<i>P</i> &lt; 0.01). Median lethal temperatures (LT50) ranged from 29.9 to 35.6-&deg;C. Mussels did not burrow beneath the top stratum of sediment (0-2.5 cm) and thus did not use the available thermal refuge.</li>\n<li>Our findings suggest that rising stream water temperature and dewatering may directly impact freshwater mussel abundance by causing mortality and may have indirect impacts via sublethal effects. Reduced burrowing capacity may hamper ability to escape predation or unfavourably high or low flows, and decreased byssus production may inhibit attachment and dispersal capabilities in juveniles.</li>\n</ol>","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/fwb.12290","collaboration":"USGS National Climate Change and Wildlife Science Center; North Carolina State University; North Carolina Wildlife Resources Commission; US Fish and Wildlife Service; Wildlife Management Institute","usgsCitation":"Archambault, L., Cope, W., and Kwak, T.J., 2014, Survival and behaviour of juvenile unionid mussels exposed to thermal stress and dewatering in the presence of a sediment temperature gradient: Freshwater Biology, v. 59, no. 3, p. 601-613, https://doi.org/10.1111/fwb.12290.","productDescription":"13 p.","startPage":"601","endPage":"613","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046180","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-11","publicationStatus":"PW","scienceBaseUri":"55853d5be4b023124e8f5b4b","contributors":{"authors":[{"text":"Archambault, L.","contributorId":80938,"corporation":false,"usgs":true,"family":"Archambault","given":"L.","email":"","affiliations":[],"preferred":false,"id":548973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cope, W. Gregory","contributorId":70353,"corporation":false,"usgs":true,"family":"Cope","given":"W. Gregory","affiliations":[],"preferred":false,"id":548974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548968,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}