{"pageNumber":"581","pageRowStart":"14500","pageSize":"25","recordCount":68919,"records":[{"id":70047928,"text":"70047928 - 2014 - Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams","interactions":[],"lastModifiedDate":"2018-09-18T16:28:36","indexId":"70047928","displayToPublicDate":"2013-08-30T15:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams","docAbstract":"Fluids co-produced with oil and gas production (produced waters) are often brines that contain elevated concentrations of bromide. Bromide is an important precursor of several toxic disinfection by-products (DBPs) and the treatment of produced water may lead to more brominated DBPs. To determine if wastewater treatment plants that accept produced waters discharge greater amounts of brominated DBPs, water samples were collected in Pennsylvania from four sites along a large river including an upstream site, a site below a publicly owned wastewater treatment plant (POTW) outfall (does not accept produced water), a site below an oil and gas commercial wastewater treatment plant (CWT) outfall, and downstream of the POTW and CWT. Of 29 DBPs analyzed, the site at the POTW outfall had the highest number detected (six) ranging in concentration from 0.01 to 0.09 μg L<sup>− 1</sup> with a similar mixture of DBPs that have been detected at POTW outfalls elsewhere in the United States. The DBP profile at the CWT outfall was much different, although only two DBPs, dibromochloronitromethane (DBCNM) and chloroform, were detected, DBCNM was found at relatively high concentrations (up to 8.5 μg L<sup>− 1</sup>). The water at the CWT outfall also had a mixture of inorganic and organic precursors including elevated concentrations of bromide (75 mg L<sup>− 1</sup>) and other organic DBP precursors (phenol at 15 μg L<sup>− 1</sup>). To corroborate these DBP results, samples were collected in Pennsylvania from additional POTW and CWT outfalls that accept produced waters. The additional CWT also had high concentrations of DBCNM (3.1 μg L<sup>− 1</sup>) while the POTWs that accept produced waters had elevated numbers (up to 15) and concentrations of DBPs, especially brominated and iodinated THMs (up to 12 μg L<sup>− 1</sup> total THM concentration). Therefore, produced water brines that have been disinfected are potential sources of DBPs along with DBP precursors to streams wherever these wastewaters are discharged.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.08.008","usgsCitation":"Hladik, M., Focazio, M.J., and Engle, M., 2014, Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams: Science of the Total Environment, v. 466-467, p. 1085-1093, https://doi.org/10.1016/j.scitotenv.2013.08.008.","productDescription":"9 p.","startPage":"1085","endPage":"1093","ipdsId":"IP-045051","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":277192,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.08.008"},{"id":277215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"466-467","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5221b0d2e4b001cbb8a34e8f","contributors":{"authors":[{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":483315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":483316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engle, Mark 0000-0001-5258-7374","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":9364,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","affiliations":[],"preferred":false,"id":483317,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70133842,"text":"70133842 - 2014 - Characterizing the distribution of particles in urban stormwater: advancements through improved sampling technology","interactions":[],"lastModifiedDate":"2015-01-13T09:30:00","indexId":"70133842","displayToPublicDate":"2013-08-19T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3826,"text":"Urban Water Journal","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the distribution of particles in urban stormwater: advancements through improved sampling technology","docAbstract":"<p>A new sample collection system was developed to improve the representation of sediment in stormwater by integrating the entire water column. The depth-integrated sampler arm (DISA) was able to mitigate sediment stratification bias in storm water, thereby improving the characterization of particle size distribution from urban source areas. Collector streets had the lowest median particle diameter of 8&nbsp;&mu;m, followed by parking lots, arterial streets, feeder streets, and residential and mixed land use (32, 43, 50, 80 and 95&nbsp;&mu;m, respectively). Results from this study suggest there is no single distribution of particles that can be applied uniformly to runoff in urban environments; however, integrating more of the entire water column during the sample collection can address some of the shortcomings of a fixed-point sampler by reducing variability and bias caused by the stratification of solids in a water column.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1573062X.2013.820334","usgsCitation":"Selbig, W.R., 2014, Characterizing the distribution of particles in urban stormwater: advancements through improved sampling technology: Urban Water Journal, v. 12, no. 2, p. 111-119, https://doi.org/10.1080/1573062X.2013.820334.","productDescription":"9 p.","startPage":"111","endPage":"119","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045735","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":296447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-08-19","publicationStatus":"PW","scienceBaseUri":"548193b9e4b0aa6d778520e4","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525470,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70112697,"text":"tm5.2.2.B - 2014 - Chapter A5. Section 2.2B. Syringe-Filter Procedure for Processing Samples for Analysis of Organic Compounds by DAI LC-MS/MS","interactions":[],"lastModifiedDate":"2021-05-27T14:01:14.644066","indexId":"tm5.2.2.B","displayToPublicDate":"2013-08-18T09:01:00","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":"5.2.2.B","title":"Chapter A5. Section 2.2B. Syringe-Filter Procedure for Processing Samples for Analysis of Organic Compounds by DAI LC-MS/MS","docAbstract":"This section of chapter 5 of the <i>National Field Manual for the Collection of Water-Quality Data (NFM)</i> describes the field procedures for collecting small-volume samples using a syringe-tip filtration method. The samples are sent to the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) for analysis of organic compounds by direct aqueous injection high-performance liquid chromatography/tandem mass spectrometry (DAI LC-MS/MS).\n\nThe DAI LC-MS/MS method was developed specifically for NWQL analytical schedules 2437 (pesticides) and 2440 (pharmaceuticals) and should not be considered transferrable or applicable to other types of samples to be analyzed using methods other than those that use DAI LC-MS/MS or other tandem mass\nspectrometry methods.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/tm5.2.2.B","usgsCitation":"Sandstrom, M.W., and Wilde, F.D., 2014, Chapter A5. Section 2.2B. Syringe-Filter Procedure for Processing Samples for Analysis of Organic Compounds by DAI LC-MS/MS (Version 3.1): U.S. Geological Survey Techniques and Methods 5.2.2.B, 10 p., https://doi.org/10.3133/tm5.2.2.B.","productDescription":"10 p.","onlineOnly":"Y","ipdsId":"IP-057027","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"links":[{"id":292359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":292345,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/owq/FieldManual/chapter5/pdf/5.2.2.B.pdf"}],"edition":"Version 3.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f25fdae4b03334187188fc","contributors":{"authors":[{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":true,"id":494841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilde, Franceska D. fwilde@usgs.gov","contributorId":92240,"corporation":false,"usgs":true,"family":"Wilde","given":"Franceska","email":"fwilde@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":494842,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047589,"text":"70047589 - 2014 - Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions","interactions":[],"lastModifiedDate":"2013-08-26T11:43:19","indexId":"70047589","displayToPublicDate":"2013-08-13T13:24:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions","docAbstract":"Application of numerical models is a common practice in the environmental field for investigation and prediction of natural and anthropogenic processes. However, process knowledge, parameter identifiability, sensitivity, and uncertainty analyses are still a challenge for large and complex mathematical models such as the hydrological/water quality model, Soil and Water Assessment Tool (SWAT). In this study, the previously developed R program language-SWAT-Flexible Modeling Environment (R-SWAT-FME) was improved to support multiple model variables and objectives at multiple time steps (i.e., daily, monthly, and annually). This expansion is significant because there is usually more than one variable (e.g., water, nutrients, and pesticides) of interest for environmental models like SWAT. To further facilitate its easy use, we also simplified its application requirements without compromising its merits, such as the user-friendly interface. To evaluate the performance of the improved framework, we used a case study focusing on both streamflow and nitrate nitrogen in the Upper Iowa River Basin (above Marengo) in the United States. Results indicated that the R-SWAT-FME performs well and is comparable to the built-in auto-calibration tool in multi-objective model calibration. Overall, the enhanced R-SWAT-FME can be useful for the SWAT community, and the methods we used can also be valuable for wrapping potential R packages with other environmental models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.07.048","usgsCitation":"Wu, Y., and Liu, S., 2014, Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions: Science of the Total Environment, v. 466-467, p. 455-466, https://doi.org/10.1016/j.scitotenv.2013.07.048.","productDescription":"12 p.","startPage":"455","endPage":"466","ipdsId":"IP-044026","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":276578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276577,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.07.048"}],"volume":"466-467","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81eee4b0d6ca46067dac","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":482475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":482474,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046213,"text":"70046213 - 2014 - Mercury cycling in agricultural and managed wetlands of California: experimental evidence of vegetation-driven changes in sediment biogeochemistry and methylmercury production","interactions":[],"lastModifiedDate":"2018-09-18T16:23:32","indexId":"70046213","displayToPublicDate":"2013-07-29T15:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mercury cycling in agricultural and managed wetlands of California: experimental evidence of vegetation-driven changes in sediment biogeochemistry and methylmercury production","docAbstract":"The role of live vegetation in sediment methylmercury (MeHg) production and associated biogeochemistry was examined in three types of agricultural wetlands (domesticated or white rice, wild rice, and fallow fields) and adjacent managed natural wetlands (cattail- and bulrush or tule-dominated) in the Yolo Bypass region of California's Central Valley, USA. During the active growing season for each wetland, a vegetated:de-vegetated paired plot experiment demonstrated that the presence of live plants enhanced microbial rates of mercury methylation by 20 to 669% (median = 280%) compared to de-vegetated plots. Labile carbon exudation by roots appeared to be the primary mechanism by which microbial methylation was enhanced in the presence of vegetation. Pore-water acetate (pw[Ac]) decreased significantly with de-vegetation (63 to 99%) among all wetland types, and within cropped fields, pw[Ac] was correlated with both root density (r = 0.92) and microbial Hg(II) methylation (k<sub>meth</sub>. r = 0.65). Sediment biogeochemical responses to de-vegetation were inconsistent between treatments for “reactive Hg” (Hg(II)R), as were reduced sulfur and sulfate reduction rates. Sediment MeHg concentrations in vegetated plots were double those of de-vegetated plots (median = 205%), due in part to enhanced microbial MeHg production in the rhizosphere, and in part to rhizoconcentration via transpiration-driven pore-water transport. Pore-water concentrations of chloride, a conservative tracer, were elevated (median = 22%) in vegetated plots, suggesting that the higher concentrations of other constituents around roots may also be a function of rhizoconcentration rather than microbial activity alone. Elevated pools of amorphous iron (Fe) in vegetated plots indicate that downward redistribution of oxic surface waters through transpiration acts as a stimulant to Fe(III)-reduction through oxidation of Fe(II)pools. These data suggest that vegetation significantly affected rhizosphere biogeochemistry through organic exudation and transpiration-driven concentration of pore-water constituents and oxidation of reduced compounds. While the relative role of vegetation varied among wetland types, macrophyte activity enhanced MeHg production.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.05.028","usgsCitation":"Windham-Myers, L., Marvin-DiPasquale, M., Stricker, C.A., Agee, J.L., Kieu, L.H., and Kakouros, E., 2014, Mercury cycling in agricultural and managed wetlands of California: experimental evidence of vegetation-driven changes in sediment biogeochemistry and methylmercury production: Science of the Total Environment, v. 484, p. 300-307, https://doi.org/10.1016/j.scitotenv.2013.05.028.","productDescription":"8 p.","startPage":"300","endPage":"307","numberOfPages":"8","ipdsId":"IP-045774","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":275522,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.05.028"},{"id":275523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Yolo County","otherGeospatial":"Yolo Bypass Wildlife Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.663971,38.417283 ], [ -121.663971,38.556489 ], [ -121.586037,38.556489 ], [ -121.586037,38.417283 ], [ -121.663971,38.417283 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d6e4b02e26443a9331","contributors":{"authors":[{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":479180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marvin-DiPasquale, Mark","contributorId":57423,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","affiliations":[],"preferred":false,"id":479184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":479179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Agee, Jennifer L. 0000-0002-5964-5079 jlagee@usgs.gov","orcid":"https://orcid.org/0000-0002-5964-5079","contributorId":2586,"corporation":false,"usgs":true,"family":"Agee","given":"Jennifer","email":"jlagee@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":479181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kieu, Le H. lkieu@usgs.gov","contributorId":25115,"corporation":false,"usgs":true,"family":"Kieu","given":"Le","email":"lkieu@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":479183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":479182,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70118310,"text":"70118310 - 2014 - Modeling the effects of naturally occurring organic carbon on chlorinated ethene transport to a public supply well","interactions":[],"lastModifiedDate":"2018-09-14T16:11:44","indexId":"70118310","displayToPublicDate":"2013-07-28T13:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the effects of naturally occurring organic carbon on chlorinated ethene transport to a public supply well","docAbstract":"The vulnerability of public supply wells to chlorinated ethene (CE) contamination in part depends on the availability of naturally occurring organic carbon to consume dissolved oxygen (DO) and initiate reductive dechlorination. This was quantified by building a mass balance model of the Kirkwood-Cohansey aquifer, which is widely used for public water supply in New Jersey. This model was built by telescoping a calibrated regional three-dimensional (3D) MODFLOW model to the approximate capture zone of a single public supply well that has a history of CE contamination. This local model was then used to compute a mass balance between dissolved organic carbon (DOC), particulate organic carbon (POC), and adsorbed organic carbon (AOC) that act as electron donors and DO, CEs, ferric iron, and sulfate that act as electron acceptors (EAs) using the Sequential Electron Acceptor Model in three dimensions (SEAM3D) code. SEAM3D was constrained by varying concentrations of DO and DOC entering the aquifer via recharge, varying the bioavailable fraction of POC in aquifer sediments, and comparing observed and simulated vertical concentration profiles of DO and DOC. This procedure suggests that approximately 15% of the POC present in aquifer materials is readily bioavailable. Model simulations indicate that transport of perchloroethene (PCE) and its daughter products trichloroethene (TCE), <i>cis</i>-dichloroethene (<i>cis</i>-DCE), and vinyl chloride (VC) to the public supply well is highly sensitive to the assumed bioavailable fraction of POC, concentrations of DO entering the aquifer with recharge, and the position of simulated PCE source areas in the flow field. The results are less sensitive to assumed concentrations of DOC in aquifer recharge. The mass balance approach used in this study also indicates that hydrodynamic processes such as advective mixing, dispersion, and sorption account for a significant amount of the observed natural attenuation in this system.","language":"English","publisher":"State Water Control Board","publisherLocation":"Richmond, VA","doi":"10.1111/gwat.12152","usgsCitation":"Chapelle, F.H., Kauffman, L.J., and Widdowson, M.A., 2014, Modeling the effects of naturally occurring organic carbon on chlorinated ethene transport to a public supply well: Ground Water, v. 52, no. S1, p. 76-89, https://doi.org/10.1111/gwat.12152.","productDescription":"14 p.","startPage":"76","endPage":"89","numberOfPages":"14","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":473341,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gwat.12152","text":"External Repository"},{"id":291170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291169,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12152"}],"country":"United States","state":"New Jersey","city":"Glassboro","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.168261,39.678584 ], [ -75.168261,39.73739 ], [ -75.054785,39.73739 ], [ -75.054785,39.678584 ], [ -75.168261,39.678584 ] ] ] } } ] }","volume":"52","issue":"S1","noUsgsAuthors":false,"publicationDate":"2013-12-23","publicationStatus":"PW","scienceBaseUri":"5422bb29e4b08312ac7cf079","contributors":{"authors":[{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Leon J. 0000-0003-4564-0362 lkauff@usgs.gov","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":1094,"corporation":false,"usgs":true,"family":"Kauffman","given":"Leon","email":"lkauff@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":496736,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193802,"text":"70193802 - 2014 - Response of walleye and yellow perch to water-level fluctuations in glacial lakes","interactions":[],"lastModifiedDate":"2017-11-08T12:08:51","indexId":"70193802","displayToPublicDate":"2013-07-19T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Response of walleye and yellow perch to water-level fluctuations in glacial lakes","docAbstract":"<p><span>The influence of water levels on population characteristics of yellow perch,&nbsp;</span><i>Perca flavescens&nbsp;</i><span>(Mitchill), and walleye,<span>&nbsp;</span></span><i>Sander vitreus</i><span><span>&nbsp;</span>(Mitchill), was evaluated across a range of glacial lakes in north-eastern South Dakota, USA. Results showed that natural variation in water levels had an important influence on frequently measured fish population characteristics. Yellow perch abundance was significantly (</span><i>P</i><span>&lt;</span><span>0.10) greater during elevated water levels. Yellow perch size structure, as indexed by the proportional size distribution of quality- and preferred-length fish (PSD and PSD-P), was significantly greater during low-water years, as was walleye PSD. Mean relative weight of walleye increased significantly during high-water periods. The dynamic and unpredictable nature of water-level fluctuations in glacial lakes ultimately adds complexity to management of these systems.</span></p>","language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1111/fme.12047","usgsCitation":"Dembkowski, D., Chipps, S.R., and Blackwell, B.G., 2014, Response of walleye and yellow perch to water-level fluctuations in glacial lakes: Fisheries Management and Ecology, v. 21, no. 2, p. 89-95, https://doi.org/10.1111/fme.12047.","productDescription":"7 p.","startPage":"89","endPage":"95","ipdsId":"IP-038632","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Bitter Lake, Cattail-Kettle Lake, Clear Lake, Enemy Swim Lake, Kampeska Lake, Lynn Lake, Poinsett Lake, Roy Lake, Waubay Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.95135498046875,\n              44.49454617990028\n            ],\n            [\n              -96.8609619140625,\n              44.49454617990028\n            ],\n            [\n              -96.8609619140625,\n              45.93778073466329\n            ],\n            [\n              -97.95135498046875,\n              45.93778073466329\n            ],\n            [\n              -97.95135498046875,\n              44.49454617990028\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-19","publicationStatus":"PW","scienceBaseUri":"5a0425c6e4b0dc0b45b45424","contributors":{"authors":[{"text":"Dembkowski, D.J.","contributorId":31995,"corporation":false,"usgs":true,"family":"Dembkowski","given":"D.J.","affiliations":[],"preferred":false,"id":721103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blackwell, B. G.","contributorId":191556,"corporation":false,"usgs":false,"family":"Blackwell","given":"B.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":721104,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045551,"text":"70045551 - 2014 - Long-distance transport of Hg, Sb, and As from a mined area, conversion of Hg to methyl-Hg, and uptake of Hg by fish on the Tiber River basin, west-central Italy","interactions":[],"lastModifiedDate":"2014-01-06T09:53:59","indexId":"70045551","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1538,"text":"Environmental Geochemistry and Health","active":true,"publicationSubtype":{"id":10}},"title":"Long-distance transport of Hg, Sb, and As from a mined area, conversion of Hg to methyl-Hg, and uptake of Hg by fish on the Tiber River basin, west-central Italy","docAbstract":"Stream sediment, stream water, and fish were collected from a broad region to evaluate downstream transport and dispersion of mercury (Hg) from inactive mines in the Monte Amiata Hg District (MAMD), Tuscany, Italy. Stream sediment samples ranged in Hg concentration from 20 to 1,900 ng/g, and only 5 of the 17 collected samples exceeded the probable effect concentration for Hg of 1,060 ng/g, above which harmful effects are likely to be observed in sediment-dwelling organisms. Concentrations of methyl-Hg in Tiber River sediment varied from 0.12 to 0.52 ng/g, and although there is no established guideline for sediment methyl-Hg, these concentrations exceeded methyl-Hg in a regional baseline site (<0.02 ng/g). Concentrations of Hg in stream water varied from 1.2 to 320 ng/L, all of which were below the 1,000 ng/L Italian drinking water Hg guideline and the 770 ng/L U.S. Environmental Protection Agency (USEPA) guideline recommended to protect against chronic effects to aquatic wildlife. Methyl-Hg concentrations in stream water varied from <0.02 to 0.53 ng/L and were generally elevated compared to the baseline site (<0.02 ng/L). All stream water samples contained concentrations of As (<1.0–6.2 μg/L) and Sb (<0.20–0.37 μg/L) below international drinking water guidelines to protect human health (10 μg/L for As and 20 μg/L for Sb) and for protection against chronic effects to aquatic wildlife (150 μg/L for As and 5.6 μg/L for Sb). Concentrations of Hg in freshwater fish muscle ranged from 0.052–0.56 μg/g (wet weight), mean of 0.17 μg/g, but only 17 % (9 of 54) exceeded the 0.30 μg/g (wet weight) USEPA fish muscle guideline recommended to protect human health. Concentrations of Hg in freshwater fish in this region generally decreased with increasing distance from the MAMD, where fish with the highest Hg concentrations were collected more proximal to the MAMD, whereas all fish collected most distal from Hg mines contained Hg below the 0.30 μg/g fish muscle guideline. Data in this study indicate some conversion of inorganic Hg to methyl-Hg and uptake of Hg in fish on the Paglia River, but less methylation of Hg and Hg uptake by freshwater fish in the larger Tiber River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Geochemistry and Health","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10653-013-9525-z","usgsCitation":"Gray, J.E., Rimondi, V., Costagliola, P., Vaselli, O., and Lattanzi, P., 2014, Long-distance transport of Hg, Sb, and As from a mined area, conversion of Hg to methyl-Hg, and uptake of Hg by fish on the Tiber River basin, west-central Italy: Environmental Geochemistry and Health, v. 36, no. 1, p. 145-157, https://doi.org/10.1007/s10653-013-9525-z.","productDescription":"13 p.","startPage":"145","endPage":"157","numberOfPages":"13","ipdsId":"IP-045177","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":274096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274095,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10653-013-9525-z"}],"country":"Italy","otherGeospatial":"Tiber River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 6.63,35.49 ], [ 6.63,47.09 ], [ 18.52,47.09 ], [ 18.52,35.49 ], [ 6.63,35.49 ] ] ] } } ] }","volume":"36","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-12","publicationStatus":"PW","scienceBaseUri":"51c95c5ae4b0a50a6e8f57b4","contributors":{"authors":[{"text":"Gray, John E. jgray@usgs.gov","contributorId":1275,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jgray@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":477830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rimondi, Valentina","contributorId":27772,"corporation":false,"usgs":true,"family":"Rimondi","given":"Valentina","email":"","affiliations":[],"preferred":false,"id":477831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Costagliola, Pilario","contributorId":106404,"corporation":false,"usgs":true,"family":"Costagliola","given":"Pilario","email":"","affiliations":[],"preferred":false,"id":477834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vaselli, Orlando","contributorId":97804,"corporation":false,"usgs":true,"family":"Vaselli","given":"Orlando","email":"","affiliations":[],"preferred":false,"id":477833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lattanzi, Pierfranco","contributorId":87845,"corporation":false,"usgs":true,"family":"Lattanzi","given":"Pierfranco","affiliations":[],"preferred":false,"id":477832,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70101266,"text":"70101266 - 2014 - Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013","interactions":[],"lastModifiedDate":"2020-03-05T12:22:08","indexId":"70101266","displayToPublicDate":"2013-05-28T10:29:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2013","chapter":"12","title":"Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013","docAbstract":"Rainbow Smelt <i>Osmerus mordax</i> are the second most abundant pelagic prey fish in Lake Ontario after Alewife <i>Alosa psuedoharengus</i>. The 2013, USGS/NYSDEC bottom trawl assessment indicated the abundance of Lake Ontario age-1 and older Rainbow Smelt decreased by 69% relative to 2012. Length frequency-based age analysis indicated that age-1 Rainbow Smelt constituted approximately 50% of the population, which is similar to recent trends where the proportion of age-1 has ranged from 95% to 42% of the population. While they constituted approximately half of the catch, the overall abundance index for age 1 was one of the lowest observed in the time series, potentially a result of cannibalism from the previous year class. Combined data from all bottom trawl assessments along the southern shore and eastern basin indicate the proportion of the fish community that is Rainbow Smelt has declined over the past 30 years. In 2013 the proportion of the pelagic fish catch (only pelagic species) that was Rainbow Smelt was the second lowest in the time series at 3.1%. Community diversity indices, based on bottom trawl catches, indicate that Lake Ontario fish community diversity, as assessed by bottom trawls, has sharply declined over the past 36 years and in 2013 the index was the lowest value in the time series. Much of this community diversity decline is driven by changes in the pelagic fish community and dominance of Alewife.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2013 Annual report: Bureau of Fisheries, Lake Ontario unit and St. Lawrence River unit, to the Great Lakes Fishery Commission’s Lake Ontario Committee","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"conferenceTitle":"Lake Ontario Committee Meeting","conferenceDate":"March 26-27, 2014","conferenceLocation":"Windsor, ON","language":"English","publisher":"New York State Department of Environmental Conservation","publisherLocation":"Albany, NY","usgsCitation":"Weidel, B., and Connerton, M., 2014, Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013: NYSDEC Lake Ontario Annual Report  2013, 5 p.","productDescription":"5 p.","startPage":"12-11","endPage":"12- 15","ipdsId":"IP-055072","costCenters":[{"id":324,"text":"Great Lakes Science 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]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54365219e4b0a4f4b46a31dc","contributors":{"authors":[{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":492648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connerton, Michael J.","contributorId":25495,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":492649,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046002,"text":"70046002 - 2014 - Surface-water and groundwater interactions in an extensively mined watershed, upper Schuylkill River, Pennsylvania, USA","interactions":[],"lastModifiedDate":"2023-06-01T17:03:35.761076","indexId":"70046002","displayToPublicDate":"2013-05-17T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Surface-water and groundwater interactions in an extensively mined watershed, upper Schuylkill River, Pennsylvania, USA","docAbstract":"<p>Streams crossing underground coal mines may lose flow, while abandoned mine drainage (AMD) restores flow downstream. During 2005-12, discharge from the Pine Knot Mine Tunnel, the largest AMD source in the upper Schuylkill River Basin, had near-neutral pH and elevated concentrations of iron, manganese, and sulfate. Discharge from the tunnel responded rapidly to recharge but exhibited a prolonged recession compared to nearby streams, consistent with rapid infiltration and slow release of groundwater from the mine. Downstream of the AMD, dissolved iron was attenuated by oxidation and precipitation while dissolved CO<sub>2</sub> degassed and pH increased. During high-flow conditions, the AMD and downstream waters exhibited decreased pH, iron, and sulfate with increased acidity that were modeled by mixing net-alkaline AMD with recharge or runoff having low ionic strength and low pH. Attenuation of dissolved iron within the river was least effective during high-flow conditions because of decreased transport time coupled with inhibitory effects of low pH on oxidation kinetics.</p>\n<br/>\n<p>A numerical model of groundwater flow was calibrated using groundwater levels in the Pine Knot Mine and discharge data for the Pine Knot Mine Tunnel and the West Branch Schuylkill River during a snowmelt event in January 2012. Although the calibrated model indicated substantial recharge to the mine complex took place away from streams, simulation of rapid changes in mine pool level and tunnel discharge during a high flow event in May 2012 required a source of direct recharge to the Pine Knot Mine. Such recharge produced small changes in mine pool level and rapid changes in tunnel flow rate because of extensive unsaturated storage capacity and high transmissivity within the mine complex. Thus, elimination of stream leakage could have a small effect on the annual discharge from the tunnel, but a large effect on peak discharge and associated water quality in streams.</p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.9885","usgsCitation":"Cravotta, C.A., Goode, D., Bartles, M.D., Risser, D.W., and Galeone, D.G., 2014, Surface-water and groundwater interactions in an extensively mined watershed, upper Schuylkill River, Pennsylvania, USA: Hydrological Processes, v. 28, no. 10, p. 3574-3601, https://doi.org/10.1002/hyp.9885.","productDescription":"28 p.","startPage":"3574","endPage":"3601","numberOfPages":"28","ipdsId":"IP-042703","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":272349,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Schuylkill River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.52,39.72 ], [ -80.52,42.27 ], [ -74.69,42.27 ], [ -74.69,39.72 ], [ -80.52,39.72 ] ] ] } } ] }","volume":"28","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-06-21","publicationStatus":"PW","scienceBaseUri":"51974368e4b09a9cb58d5ee2","contributors":{"authors":[{"text":"Cravotta, Charles A. III, 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":2193,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III,","email":"cravotta@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartles, Michael D.","contributorId":34405,"corporation":false,"usgs":true,"family":"Bartles","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Risser, Dennis W. 0000-0001-9597-5406 dwrisser@usgs.gov","orcid":"https://orcid.org/0000-0001-9597-5406","contributorId":898,"corporation":false,"usgs":true,"family":"Risser","given":"Dennis","email":"dwrisser@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galeone, Daniel G. 0000-0002-8007-9278 dgaleone@usgs.gov","orcid":"https://orcid.org/0000-0002-8007-9278","contributorId":2301,"corporation":false,"usgs":true,"family":"Galeone","given":"Daniel","email":"dgaleone@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478664,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70140923,"text":"70140923 - 2014 - The Mussel Watch California pilot study on contaminants of emerging concern (CECs): synthesis and next steps","interactions":[],"lastModifiedDate":"2018-09-18T16:11:36","indexId":"70140923","displayToPublicDate":"2013-04-30T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The Mussel Watch California pilot study on contaminants of emerging concern (CECs): synthesis and next steps","docAbstract":"<p><span>A multiagency pilot study on mussels (</span><i>Mytilus</i><span><span>&nbsp;</span>spp.) collected at 68 stations in California revealed that 98% of targeted contaminants of emerging concern (CECs) were infrequently detectable at concentrations ⩽1&nbsp;ng/g. Selected chemicals found in commercial and consumer products were more frequently detected at mean concentrations up to 470&nbsp;ng/g dry wt. The number of CECs detected and their concentrations were greatest for stations categorized as urban or influenced by storm water discharge. Exposure to a broader suite of CECs was also characterized by passive sampling devices (PSDs), with estimated water concentrations of hydrophobic compounds correlated with<span>&nbsp;</span></span><i>Mytilus</i><span><span>&nbsp;</span>concentrations. The results underscore the need for focused CEC monitoring in coastal ecosystems and suggest that PSDs are complementary to bivalves in assessing water quality. Moreover, the partnership established among participating agencies led to increased spatial coverage, an expanded list of analytes and a more efficient use of available resources.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2013.04.023","usgsCitation":"Maruya, K.A., Dodder, N.G., Weisberg, S., Gregorio, D., Bishop, J.S., Klosterhaus, S., Alvarez, D.A., Furlong, E.T., Bricker, S.B., Kimbrough, K.L., and Lauenstein, G.G., 2014, The Mussel Watch California pilot study on contaminants of emerging concern (CECs): synthesis and next steps: Marine Pollution Bulletin, v. 81, no. 2, p. 355-363, https://doi.org/10.1016/j.marpolbul.2013.04.023.","productDescription":"9 p.","startPage":"355","endPage":"363","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059981","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":297917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.62890625,\n              32.509761735919426\n            ],\n            [\n              -124.62890625,\n              42.06560675405716\n            ],\n            [\n              -116.49902343749999,\n              42.06560675405716\n            ],\n            [\n              -116.49902343749999,\n              32.509761735919426\n            ],\n            [\n              -124.62890625,\n              32.509761735919426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"81","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2c6be4b08de9379b37c1","contributors":{"authors":[{"text":"Maruya, Keith A.","contributorId":85094,"corporation":false,"usgs":true,"family":"Maruya","given":"Keith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":540414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dodder, Nathan G.","contributorId":15528,"corporation":false,"usgs":true,"family":"Dodder","given":"Nathan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":540415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weisberg, Stephen B.","contributorId":11110,"corporation":false,"usgs":true,"family":"Weisberg","given":"Stephen B.","affiliations":[],"preferred":false,"id":540416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gregorio, Dominic","contributorId":139220,"corporation":false,"usgs":false,"family":"Gregorio","given":"Dominic","email":"","affiliations":[{"id":12702,"text":"California State Water Resources Control Board","active":true,"usgs":false}],"preferred":false,"id":540417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bishop, Jonathan S.","contributorId":139221,"corporation":false,"usgs":false,"family":"Bishop","given":"Jonathan","email":"","middleInitial":"S.","affiliations":[{"id":12702,"text":"California State Water Resources Control Board","active":true,"usgs":false}],"preferred":false,"id":540418,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klosterhaus, Susan","contributorId":139222,"corporation":false,"usgs":false,"family":"Klosterhaus","given":"Susan","email":"","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":540419,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":540413,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":540420,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bricker, Suzanne B.","contributorId":64555,"corporation":false,"usgs":false,"family":"Bricker","given":"Suzanne","email":"","middleInitial":"B.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":540421,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kimbrough, Kimani L.","contributorId":139223,"corporation":false,"usgs":false,"family":"Kimbrough","given":"Kimani","email":"","middleInitial":"L.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":540422,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lauenstein, Gunnar G.","contributorId":139224,"corporation":false,"usgs":false,"family":"Lauenstein","given":"Gunnar","email":"","middleInitial":"G.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":540423,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70044677,"text":"70044677 - 2014 - Remote biopsy darting and marking of polar bears","interactions":[],"lastModifiedDate":"2018-07-14T13:13:42","indexId":"70044677","displayToPublicDate":"2013-04-13T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Remote biopsy darting and marking of polar bears","docAbstract":"Remote biopsy darting of polar bears (<i>Ursus maritimus</i>) is less invasive and time intensive than physical capture and is therefore useful when capture is challenging or unsafe. We worked with two manufacturers to develop a combination biopsy and marking dart for use on polar bears. We had an 80% success rate of collecting a tissue sample with a single biopsy dart and collected tissue samples from 143 polar bears on land, in water, and on sea ice. Dye marks ensured that 96% of the bears were not resampled during the same sampling period, and we recovered 96% of the darts fired. Biopsy heads with 5 mm diameters collected an average of 0.12 g of fur, tissue, and subcutaneous adipose tissue, while biopsy heads with 7 mm diameters collected an average of 0.32 g. Tissue samples were 99.3% successful (142 of 143 samples) in providing a genetic and sex identification of individuals. We had a 64% success rate collecting adipose tissue and we successfully examined fatty acid signatures in all adipose samples. Adipose lipid content values were lower compared to values from immobilized or harvested polar bears, indicating that our method was not suitable for quantifying adipose lipid content.","language":"English","publisher":"Wiley","doi":"10.1111/mms.12029","usgsCitation":"Pagano, A.M., Peacock, E.L., and McKinney, M.A., 2014, Remote biopsy darting and marking of polar bears: Marine Mammal Science, v. 30, no. 1, p. 169-183, https://doi.org/10.1111/mms.12029.","productDescription":"15 p.","startPage":"169","endPage":"183","numberOfPages":"15","ipdsId":"IP-043408","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":486667,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13TKJA6","text":"USGS data release","linkHelpText":"Southern Beaufort Sea Polar Bear Mark Recapture Data, 2000-2023"},{"id":273641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-04-09","publicationStatus":"PW","scienceBaseUri":"51b99869e4b07b9df6070fae","contributors":{"authors":[{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":476220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":476222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKinney, Melissa A.","contributorId":11496,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":476221,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043974,"text":"70043974 - 2014 - A stakeholder project to model water temperature under future climate scenarios in the Satus and Toppenish watersheds of the Yakima River Basinin Washington, USA","interactions":[],"lastModifiedDate":"2016-04-26T09:59:03","indexId":"70043974","displayToPublicDate":"2013-04-10T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"A stakeholder project to model water temperature under future climate scenarios in the Satus and Toppenish watersheds of the Yakima River Basinin Washington, USA","docAbstract":"<p><span>The goal of this study was to support an assessment of the potential effects of climate change on select natural, social, and economic resources in the Yakima River Basin. A workshop with local stakeholders highlighted the usefulness of projecting climate change impacts on anadromous steelhead (</span><i class=\"EmphasisTypeItalic \">Oncorhynchus mykiss)</i><span>, a fish species of importance to local tribes, fisherman, and conservationists. Stream temperature is an important environmental variable for the freshwater stages of steelhead. For this study, we developed water temperature models for the Satus and Toppenish watersheds, two of the key stronghold areas for steelhead in the Yakima River Basin. We constructed the models with the Stream Network Temperature Model (SNTEMP), a mechanistic approach to simulate water temperature in a stream network. The models were calibrated over the April 15, 2008 to September 30, 2008 period and validated over the April 15, 2009 to September 30, 2009 period using historic measurements of stream temperature and discharge provided by the Yakama Nation Fisheries Resource Management Program. Once validated, the models were run to simulate conditions during the spring and summer seasons over a baseline period (1981&ndash;2005) and two future climate scenarios with increased air temperature of 1&deg;C and 2&deg;C. The models simulated daily mean and maximum water temperatures at sites throughout the two watersheds under the baseline and future climate scenarios.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-012-0643-x","usgsCitation":"Graves, D., and Maule, A., 2014, A stakeholder project to model water temperature under future climate scenarios in the Satus and Toppenish watersheds of the Yakima River Basinin Washington, USA: Climatic Change, v. 124, no. 1-2, p. 399-411, https://doi.org/10.1007/s10584-012-0643-x.","productDescription":"13 p.","startPage":"399","endPage":"411","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031161","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":270805,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,45.54 ], [ -124.79,49.0 ], [ -116.92,49.0 ], [ -116.92,45.54 ], [ -124.79,45.54 ] ] ] } } ] }","volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2012-12-06","publicationStatus":"PW","scienceBaseUri":"51667bd8e4b0bba30b388ba2","contributors":{"authors":[{"text":"Graves, D.","contributorId":15393,"corporation":false,"usgs":true,"family":"Graves","given":"D.","email":"","affiliations":[],"preferred":false,"id":474570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maule, A.","contributorId":39668,"corporation":false,"usgs":true,"family":"Maule","given":"A.","email":"","affiliations":[],"preferred":false,"id":474571,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70122166,"text":"70122166 - 2014 - Groundwater flow cycling between a submarine spring and an inland fresh water spring","interactions":[],"lastModifiedDate":"2014-09-05T08:53:15","indexId":"70122166","displayToPublicDate":"2013-01-01T13:20:00","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":"Groundwater flow cycling between a submarine spring and an inland fresh water spring","docAbstract":"<p>Spring Creek Springs and Wakulla Springs are large first magnitude springs that derive water from the Upper Floridan Aquifer. The submarine Spring Creek Springs are located in a marine estuary and Wakulla Springs are located 18 km inland. Wakulla Springs has had a consistent increase in flow from the 1930s to the present. This increase is probably due to the rising sea level, which puts additional pressure head on the submarine Spring Creek Springs, reducing its fresh water flow and increasing flows in Wakulla Springs. To improve understanding of the complex relations between these springs, flow and salinity data were collected from June 25, 2007 to June 30, 2010. The flow in Spring Creek Springs was most sensitive to rainfall and salt water intrusion, and the flow in Wakulla Springs was most sensitive to rainfall and the flow in Spring Creek Springs. Flows from the springs were found to be connected, and composed of three repeating phases in a karst spring flow cycle: Phase 1 occurred during low rainfall periods and was characterized by salt water backflow into the Spring Creek Springs caves. The higher density salt water blocked fresh water flow and resulted in a higher equivalent fresh water head in Spring Creek Springs than in Wakulla Springs. The blocked fresh water was diverted to Wakulla Springs, approximately doubling its flow. Phase 2 occurred when heavy rainfall resulted in temporarily high creek flows to nearby sinkholes that purged the salt water from the Spring Creek Springs caves. Phase 3 occurred after streams returned to base flow. The Spring Creek Springs caves retained a lower equivalent fresh water head than Wakulla Springs, causing them to flow large amounts of fresh water while Wakulla Springs flow was reduced by about half.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gwat.12125","usgsCitation":"Davis, J., and Verdi, R., 2014, Groundwater flow cycling between a submarine spring and an inland fresh water spring: Ground Water, v. 52, no. 5, p. 705-716, https://doi.org/10.1111/gwat.12125.","productDescription":"12 p.","startPage":"705","endPage":"716","numberOfPages":"12","ipdsId":"IP-032250","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":293035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293018,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12125"}],"country":"United States","state":"Florida;Georgia","otherGeospatial":"Lost Creek Sink;Spring Creek Springs;Wakulla Springs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.64528,30.051686 ], [ -84.64528,30.9689 ], [ -84.047469,30.9689 ], [ -84.047469,30.051686 ], [ -84.64528,30.051686 ] ] ] } } ] }","volume":"52","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-10-18","publicationStatus":"PW","scienceBaseUri":"53fd9f57e4b0adaeea6c4e30","contributors":{"authors":[{"text":"Davis, J. Hal","contributorId":53832,"corporation":false,"usgs":true,"family":"Davis","given":"J. Hal","affiliations":[],"preferred":false,"id":499442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdi, Richard","contributorId":72719,"corporation":false,"usgs":true,"family":"Verdi","given":"Richard","affiliations":[],"preferred":false,"id":499443,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046159,"text":"70046159 - 2014 - Glyphosate and its degradation product AMPA occur frequently and widely in U.S. soils, surface water, groundwater, and precipitation","interactions":[],"lastModifiedDate":"2022-09-26T15:27:27.595707","indexId":"70046159","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Glyphosate and its degradation product AMPA occur frequently and widely in U.S. soils, surface water, groundwater, and precipitation","docAbstract":"<p><span>Glyphosate use in the United States increased from less than 5,000 to more than 80,000&nbsp;metric tons/yr between 1987 and 2007. Glyphosate is popular due to its ease of use on soybean, cotton, and corn crops that are genetically modified to tolerate it, utility in no-till farming practices, utility in urban areas, and the perception that it has low toxicity and little mobility in the environment. This compilation is the largest and most comprehensive assessment of the environmental occurrence of glyphosate and aminomethylphosphonic acid (AMPA) in the United States conducted to date, summarizing the results of 3,732 water and sediment and 1,018 quality assurance samples collected between 2001 and 2010 from 38 states. Results indicate that glyphosate and AMPA are usually detected together, mobile, and occur widely in the environment. Glyphosate was detected without AMPA in only 2.3% of samples, whereas AMPA was detected without glyphosate in 17.9% of samples. Glyphosate and AMPA were detected frequently in soils and sediment, ditches and drains, precipitation, rivers, and streams; and less frequently in lakes, ponds, and wetlands; soil water; and groundwater. Concentrations of glyphosate were below the levels of concern for humans or wildlife; however, pesticides are often detected in mixtures. Ecosystem effects of chronic low-level exposures to pesticide mixtures are uncertain. The environmental health risk of low-level detections of glyphosate, AMPA, and associated adjuvants and mixtures remain to be determined.</span></p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/jawr.12159","usgsCitation":"Battaglin, W.A., Meyer, M.T., Kuivila, K., and Dietze, J.E., 2014, Glyphosate and its degradation product AMPA occur frequently and widely in U.S. soils, surface water, groundwater, and precipitation: Journal of the American Water Resources Association, v. 50, no. 2, p. 275-290, https://doi.org/10.1111/jawr.12159.","productDescription":"16 p.","startPage":"275","endPage":"290","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045904","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science 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,{"id":70192404,"text":"70192404 - 2014 - Macroinvertebrate community change associated with the severity of streamflow alteration","interactions":[],"lastModifiedDate":"2017-11-16T10:37:21","indexId":"70192404","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Macroinvertebrate community change associated with the severity of streamflow alteration","docAbstract":"<p><span>Natural streamflows play a critical role in stream ecosystems, yet quantitative relations between streamflow alteration and stream health have been elusive. One reason for this difficulty is that neither streamflow alteration nor ecological responses are measured relative to their natural expectations. We assessed macroinvertebrate community condition in 25 mountain streams representing a large gradient of streamflow alteration, which we quantified as the departure of observed flows from natural expectations. Observed flows were obtained from US Geological Survey streamgaging stations and discharge records from dams and diversion structures. During low-flow conditions in September, samples of macroinvertebrate communities were collected at each site, in addition to measures of physical habitat, water chemistry and organic matter. In general, streamflows were artificially high during summer and artificially low throughout the rest of the year. Biological condition, as measured by richness of sensitive taxa (Ephemeroptera, Plecoptera and Trichoptera) and taxonomic completeness (O/E), was strongly and negatively related to the severity of depleted flows in winter. Analyses of macroinvertebrate traits suggest that taxa losses may have been caused by thermal modification associated with streamflow alteration. Our study yielded quantitative relations between the severity of streamflow alteration and the degree of biological impairment and suggests that water management that reduces streamflows during winter months is likely to have negative effects on downstream benthic communities in Utah mountain streams.&nbsp;</span></p>","language":"English","publisher":"River Research and Applications","doi":"10.1002/rra.2626","usgsCitation":"Carlisle, D.M., Eng, K., and Nelson, S.M., 2014, Macroinvertebrate community change associated with the severity of streamflow alteration: River Research and Applications, v. 30, no. 1, p. 29-39, https://doi.org/10.1002/rra.2626.","productDescription":"11 p.","startPage":"29","endPage":"39","ipdsId":"IP-034600","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":348882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.9342041015625,\n              39.8928799002948\n            ],\n            [\n              -110.3851318359375,\n              39.8928799002948\n            ],\n            [\n              -110.3851318359375,\n              41.244772343082076\n            ],\n            [\n              -111.9342041015625,\n              41.244772343082076\n            ],\n            [\n              -111.9342041015625,\n              39.8928799002948\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-21","publicationStatus":"PW","scienceBaseUri":"5a6100e8e4b06e28e9c2543d","contributors":{"authors":[{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":715707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":715708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, S. M.","contributorId":81853,"corporation":false,"usgs":false,"family":"Nelson","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":715709,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70133837,"text":"70133837 - 2014 - From streets to streams: Assessing the toxicity potential of urban sediment by particle size","interactions":[],"lastModifiedDate":"2019-10-24T15:35:07","indexId":"70133837","displayToPublicDate":"2012-12-29T15:34:17","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":"From streets to streams: Assessing the toxicity potential of urban sediment by particle size","docAbstract":"Urban sediment can act as a transport mechanism for a variety of pollutants to move towards a receiving water body. The concentrations of these pollutants oftentimes exceed levels that are toxic to aquatic organisms. Many treatment structures are designed to capture coarse sediment but do not work well to similarly capture the fines. This study measured concentrations of select trace metals and PAHs in both the silt and sand fractions of urban sediment from four sources: stormwater bed, stormwater suspended, street dirt, and streambed. Concentrations were used to assess the toxic potential of sediment based on published sediment quality guidelines. All sources of sediment showed some level of toxic potential with stormwater bed sediment the highest followed by stormwater suspended, street dirt, and streambed. Both metal and PAH concentration distributions were highly correlated between the four sampling locations suggesting the presence of one or perhaps only a few sources of these pollutants which remain persistent as sediment is transported from street to stream. Comparison to other forms of combustion- and vehicle-related sources of PAHs revealed coal tar sealants to have the strongest correlation, in both the silt and sand fractions, at all four sampling sites. This information is important for environmental managers when selecting the most appropriate Best Management Practice (BMP) as a way to mitigate pollution conveyed in urban stormwater from source to sink.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2012.11.094","usgsCitation":"Selbig, W.R., Bannerman, R.T., and Corsi, S., 2014, From streets to streams: Assessing the toxicity potential of urban sediment by particle size: Science of the Total Environment, v. 444, p. 381-391, https://doi.org/10.1016/j.scitotenv.2012.11.094.","productDescription":"11 p.","startPage":"381","endPage":"391","ipdsId":"IP-042328","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":368574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Madison, Milwaukee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.61959838867188,\n              42.9524020856897\n            ],\n            [\n              -89.14031982421875,\n              42.9524020856897\n            ],\n            [\n              -89.14031982421875,\n              43.19416381095764\n            ],\n            [\n              -89.61959838867188,\n              43.19416381095764\n            ],\n            [\n              -89.61959838867188,\n              42.9524020856897\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.31771850585938,\n              42.86589941517495\n            ],\n            [\n              -87.81097412109375,\n              42.86589941517495\n            ],\n            [\n              -87.81097412109375,\n              43.26720631662829\n            ],\n            [\n              -88.31771850585938,\n              43.26720631662829\n            ],\n            [\n              -88.31771850585938,\n              42.86589941517495\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"444","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546dbf29e4b0fc7976bf1e54","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bannerman, Roger T.","contributorId":127491,"corporation":false,"usgs":false,"family":"Bannerman","given":"Roger","email":"","middleInitial":"T.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":525500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corsi, Steven srcorsi@usgs.gov","contributorId":127499,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525498,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041754,"text":"70041754 - 2014 - A method for estimating spatially variable seepage and hydrualic conductivity in channels with very mild slopes","interactions":[],"lastModifiedDate":"2013-12-23T09:54:59","indexId":"70041754","displayToPublicDate":"2012-12-13T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"A method for estimating spatially variable seepage and hydrualic conductivity in channels with very mild slopes","docAbstract":"Infiltration along ephemeral channels plays an important role in groundwater recharge in arid regions. A model is presented for estimating spatial variability of seepage due to streambed heterogeneity along channels based on measurements of streamflow-front velocities in initially dry channels. The diffusion-wave approximation to the Saint-Venant equations, coupled with Philip's equation for infiltration, is connected to the groundwater model MODFLOW and is calibrated by adjusting the saturated hydraulic conductivity of the channel bed. The model is applied to portions of two large water delivery canals, which serve as proxies for natural ephemeral streams. Estimated seepage rates compare well with previously published values. Possible sources of error stem from uncertainty in Manning's roughness coefficients, soil hydraulic properties and channel geometry. Model performance would be most improved through more frequent longitudinal estimates of channel geometry and thalweg elevation, and with measurements of stream stage over time to constrain wave timing and shape. This model is a potentially valuable tool for estimating spatial variability in longitudinal seepage along intermittent and ephemeral channels over a wide range of bed slopes and the influence of seepage rates on groundwater levels.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken , NJ","doi":"10.1002/hyp.9545","usgsCitation":"Shanafield, M., Niswonger, R., Prudic, D.E., Pohll, G., Susfalk, R., and Panday, S., 2014, A method for estimating spatially variable seepage and hydrualic conductivity in channels with very mild slopes: Hydrological Processes, v. 28, no. 1, p. 51-61, https://doi.org/10.1002/hyp.9545.","productDescription":"11 p.","startPage":"51","endPage":"61","ipdsId":"IP-042359","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":263984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263983,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.9545"}],"volume":"28","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-17","publicationStatus":"PW","scienceBaseUri":"50cb5758e4b09e092d6f03cd","contributors":{"authors":[{"text":"Shanafield, Margaret","contributorId":106772,"corporation":false,"usgs":true,"family":"Shanafield","given":"Margaret","affiliations":[],"preferred":false,"id":470167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":470163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prudic, David E. deprudic@usgs.gov","contributorId":3430,"corporation":false,"usgs":true,"family":"Prudic","given":"David","email":"deprudic@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pohll, Greg","contributorId":65355,"corporation":false,"usgs":true,"family":"Pohll","given":"Greg","affiliations":[],"preferred":false,"id":470164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Susfalk, Richard","contributorId":72274,"corporation":false,"usgs":true,"family":"Susfalk","given":"Richard","email":"","affiliations":[],"preferred":false,"id":470165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Panday, Sorab","contributorId":100513,"corporation":false,"usgs":true,"family":"Panday","given":"Sorab","affiliations":[],"preferred":false,"id":470166,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70134661,"text":"70134661 - 2014 - Vibrational, X-ray absorption, and Mössbauer spectra of sulfate minerals from the weathered massive sulfide deposit at Iron Mountain, California","interactions":[],"lastModifiedDate":"2018-03-05T17:08:46","indexId":"70134661","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Vibrational, X-ray absorption, and Mössbauer spectra of sulfate minerals from the weathered massive sulfide deposit at Iron Mountain, California","docAbstract":"<p>The Iron Mountain Mine Superfund site in California is a prime example of an acid mine drainage (AMD) system with well developed assemblages of sulfate minerals typical for such settings. Here we present and discuss the vibrational (infrared), X-ray absorption, and M&ouml;ssbauer spectra of a number of these phases, augmented by spectra of a few synthetic sulfates related to the AMD phases. The minerals and related phases studied in this work are (in order of increasing Fe<sub>2</sub>O<sub>3</sub>/FeO): szomolnokite, rozenite, siderotil, halotrichite, r&ouml;merite, voltaite, copiapite, monoclinic Fe<sub>2</sub>(SO<sub>4</sub>)<sub>3</sub>, Fe<sub>2</sub>(SO<sub>4</sub>)<sub>3</sub>&middot;5H<sub>2</sub>O, kornelite, coquimbite, Fe(SO<sub>4</sub>)(OH), jarosite and rhomboclase. Fourier transform infrared spectra in the region 750&ndash;4000&nbsp;cm<sup>&minus;1</sup>&nbsp;are presented for all studied phases. Position of the FTIR bands is discussed in terms of the vibrations of sulfate ions, hydroxyl groups, and water molecules. Sulfur K-edge X-ray absorption near-edge structure (XANES) spectra were collected for selected samples. The feature of greatest interest is a series of weak pre-edge peaks whose position is determined by the number of bridging oxygen atoms between Fe<sup>3+</sup>&nbsp;octahedra and sulfate tetrahedra. M&ouml;ssbauer spectra of selected samples were obtained at room temperature and 80&nbsp;K for ferric minerals jarosite and rhomboclase and mixed ferric&ndash;ferrous minerals r&ouml;merite, voltaite, and copiapite. Values of Fe<sup>2+</sup>/[Fe<sup>2+</sup>&nbsp;+&nbsp;Fe<sup>3+</sup>] determined by M&ouml;ssbauer spectroscopy agree well with those determined by wet chemical analysis. The data presented here can be used as standards in spectroscopic work where spectra of well-characterized compounds are required to identify complex mixtures of minerals and related phases.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.03.008","usgsCitation":"Majzlan, J., Alpers, C.N., Bender Koch, C., McCleskey, R.B., Myneni, S.B., and Neil, J.M., 2014, Vibrational, X-ray absorption, and Mössbauer spectra of sulfate minerals from the weathered massive sulfide deposit at Iron Mountain, California: Chemical Geology, v. 284, no. 3-4, p. 296-305, https://doi.org/10.1016/j.chemgeo.2011.03.008.","productDescription":"10 p.","startPage":"296","endPage":"305","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-012404","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":296421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Iron Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.4443359375,\n              34.161818161230386\n            ],\n            [\n              -115.11474609375001,\n              34.1890858311724\n            ],\n            [\n              -115.0872802734375,\n              33.99347299511967\n            ],\n            [\n              -115.40588378906249,\n              33.96158628979907\n            ],\n            [\n              -115.4443359375,\n              34.161818161230386\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"284","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5480342fe4b0ac64d148dcfd","contributors":{"authors":[{"text":"Majzlan, Juraj","contributorId":127677,"corporation":false,"usgs":false,"family":"Majzlan","given":"Juraj","email":"","affiliations":[{"id":7107,"text":"Univ. of Freiburg, Germany","active":true,"usgs":false}],"preferred":false,"id":526279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bender Koch, Christian","contributorId":127676,"corporation":false,"usgs":false,"family":"Bender Koch","given":"Christian","email":"","affiliations":[{"id":7106,"text":"Royal Vet. and Ag. Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":526278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":526277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Myneni, Satish B.C.","contributorId":127678,"corporation":false,"usgs":false,"family":"Myneni","given":"Satish","email":"","middleInitial":"B.C.","affiliations":[{"id":7108,"text":"Princeton Univ.","active":true,"usgs":false}],"preferred":false,"id":526280,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neil, John M.","contributorId":13957,"corporation":false,"usgs":false,"family":"Neil","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":526281,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198624,"text":"70198624 - 2014 - The planning process","interactions":[],"lastModifiedDate":"2018-08-13T10:28:01","indexId":"70198624","displayToPublicDate":"2004-01-01T08:55:31","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"The planning process","docAbstract":"<p>No abstract available.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sampling and monitoring for the mine life cycle: Management technologies for metal mining influenced water","language":"English","publisher":"Society for Mining, Metallurgy, and Exploration ","usgsCitation":"Russell, C.C., Smith, K.S., and McLemore, V.T., 2014, The planning process, chap. 5 <i>of</i> Sampling and monitoring for the mine life cycle: Management technologies for metal mining influenced water.","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":356401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98ac65e4b0702d0e84326f","contributors":{"editors":[{"text":"Russell, Carol C.","contributorId":140998,"corporation":false,"usgs":false,"family":"Russell","given":"Carol","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":742215,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Smith, Kathleen S. 0000-0001-8547-9804 ksmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":182,"corporation":false,"usgs":true,"family":"Smith","given":"Kathleen","email":"ksmith@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":742216,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"McLemore, Virginia T.","contributorId":113338,"corporation":false,"usgs":true,"family":"McLemore","given":"Virginia","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":742217,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Russell, Carol C.","contributorId":140998,"corporation":false,"usgs":false,"family":"Russell","given":"Carol","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":742212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Kathleen S. 0000-0001-8547-9804 ksmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":182,"corporation":false,"usgs":true,"family":"Smith","given":"Kathleen","email":"ksmith@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":742213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McLemore, Virginia T.","contributorId":113338,"corporation":false,"usgs":true,"family":"McLemore","given":"Virginia","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":742214,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":4908,"text":"twri09A2 - 2014 - Chapter A2. Selection of equipment for water sampling","interactions":[],"lastModifiedDate":"2021-05-27T14:03:25.956426","indexId":"twri09A2","displayToPublicDate":"1999-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":336,"text":"Techniques of Water-Resources Investigations","code":"TWRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"09-A2","displayTitle":"Chapter A2. Selection of Equipment for Water Sampling","title":"Chapter A2. Selection of equipment for water sampling","docAbstract":"<p>The National Field Manual for the Collection of Water-Quality Data (National Field Manual) describes protocols and provides guidelines for U.S. Geological Survey (USGS) personnel who collect data used to assess the quality of the Nation's surface-water and ground-water resources. This chapter of the manual addresses the selection of equipment commonly used by USGS personnel to collect and process water-quality samples. Each chapter of the National Field Manual is published separately and revised periodically. Newly published and revised chapters will be announced on the USGS Home Page on the World Wide Web under 'New Publications of the U.S. Geological Survey.'</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/twri09A2","usgsCitation":"Wilde, F.D., Sandstrom, M.W., and Skrobialowski, S.C., 2014, Chapter A2. Selection of equipment for water sampling (Version 3.1, Revised April 2014 (previous version 2.0, revised March 2003, original version published August 1998)): U.S. Geological Survey Techniques of Water-Resources Investigations 09-A2, vii, 78 p., https://doi.org/10.3133/twri09A2.","productDescription":"vii, 78 p.","numberOfPages":"86","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":363695,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/tm9A0","text":"Techniques and Methods 9-AO","linkHelpText":"- General Introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":651,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a2/Chapter2_V3-1.pdf","text":"Report","size":"5.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TWRI 09A2","linkHelpText":"- Version 3.1"},{"id":362083,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/twri/twri9a2/Ch2.pdf","text":"Report - August 1998","size":"785 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Original"},{"id":362084,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/twri/twri9a2/Chapter2_V2.pdf","text":"Report - March 2003","linkHelpText":"- Version 2.0"},{"id":139885,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/twri/twri9a2/coverthb.jpg"}],"edition":"Version 3.1, Revised April 2014 (previous version 2.0, revised March 2003, original version published August 1998)","contact":"<p><a href=\"https://www.usgs.gov/mission-areas/water-resources?qt-mission_areas_l2_landing_page_ta=0#qt-mission_areas_l2_landing_page_ta\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources?qt-mission_areas_l2_landing_page_ta=0#qt-mission_areas_l2_landing_page_ta\">Water Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:nfm@usgs.gov\" data-mce-href=\"mailto:nfm@usgs.gov\">nfm@usgs.gov</a></p>","tableOfContents":"<ul><li>Preface</li><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Chapter A2. Selection of Equipment for Water Sampling</li><li>Conversion Factors, Selected Terms and Symbols, and Abbreviations</li><li>Selected References and Technical Memorandums</li><li>Appendix: Construction of a Collapsible Sample-Processing/Preservation Chamber</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e5bd9","contributors":{"authors":[{"text":"Wilde, Franceska D. fwilde@usgs.gov","contributorId":92240,"corporation":false,"usgs":true,"family":"Wilde","given":"Franceska","email":"fwilde@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":759374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":759372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skrobialowski, Stanley C. 0000-0001-8627-0279 sski@usgs.gov","orcid":"https://orcid.org/0000-0001-8627-0279","contributorId":1402,"corporation":false,"usgs":true,"family":"Skrobialowski","given":"Stanley","email":"sski@usgs.gov","middleInitial":"C.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":759373,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":38313,"text":"twri09A7.1 - 2014 - Chapter A7. Section 7.1. Fecal indicator bacteria","interactions":[],"lastModifiedDate":"2026-04-14T14:31:54.169658","indexId":"twri09A7.1","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":336,"text":"Techniques of Water-Resources Investigations","code":"TWRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"09-A7.1","displayTitle":"Chapter A7. Section 7.1. Fecal Indicator Bacteria","title":"Chapter A7. Section 7.1. Fecal indicator bacteria","docAbstract":"<p>Fecal indicator bacteria are used to assess the microbiological quality of water because, although not typically disease causing, they are correlated with the presence of several waterborne disease-causing organisms. The concentration of indicator bacteria is a measure of water safety for body-contact recreation or for consumption. This report provides information on the equipment, sampling protocols, and identification, enumeration, and calculation procedures that are in standard use by U.S. Geological Survey (USGS) personnel for the collection of data on fecal indicator bacteria. Each chapter of the National Field Manual is published separately and revised periodically. Newly published and revised chapters will be announced on the USGS Home Page on the World Wide Web under 'New Publications of the U.S. Geological Survey.'</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/twri09A7.1","usgsCitation":"Myers, D.N., Stoeckel, D.M., Bushon, R.N., Francy, D.S., and Brady A.M.G., 2014, Fecal indicator bacteria (ver. 2.1, revised May 2014): U.S. Geological Survey Techniques of Water-Resources Investigations 09–A7.1, 73 p., https://doi.org/10.3133/twri09A7.1.","productDescription":"Documents: 73 p., 73 p., 64 p.; Related Work","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":363225,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.er.usgs.gov/publication/tm9A0","text":"Techniques and Methods 9-A0","linkHelpText":"- General Introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":363187,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a7/twri9a7_7.1_ver2.0_5-12-14.pdf","text":"Report February 2007 (Section 7.1)","linkHelpText":"- Version 2.0"},{"id":363188,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a7/twri9a7_7.1_ver1.2.pdf","text":"Report November 2004 (Section 7.1)","linkHelpText":"- Version 1.2"},{"id":165252,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":363183,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a7/twri9a7_7.1_ver2.1.pdf","text":"Report Chapter 7.1 - Version 2.1, May 2014","size":"622 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TWRI 9A7.1","linkHelpText":"- Fecal Indicator Bacteria"}],"edition":"Version 1.2, Revised Nov 2004","contact":"<p><a href=\"https://www.usgs.gov/mission-areas/water-resources?qt-mission_areas_l2_landing_page_ta=0#qt-mission_areas_l2_landing_page_ta\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources?qt-mission_areas_l2_landing_page_ta=0#qt-mission_areas_l2_landing_page_ta\">Water Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:nfm@usgs.gov\" data-mce-href=\"mailto:nfm@usgs.gov\">nfm@usgs.gov</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e58ec","contributors":{"authors":[{"text":"Myers, Donna N. 0000-0001-6359-2865 dnmyers@usgs.gov","orcid":"https://orcid.org/0000-0001-6359-2865","contributorId":512,"corporation":false,"usgs":true,"family":"Myers","given":"Donna","email":"dnmyers@usgs.gov","middleInitial":"N.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":219590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sylvester, Marc A.","contributorId":90706,"corporation":false,"usgs":true,"family":"Sylvester","given":"Marc","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":219591,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174161,"text":"70174161 - 2013 - A manual for remote sensing of Maine lake clarity","interactions":[],"lastModifiedDate":"2021-04-02T16:51:06.997095","indexId":"70174161","displayToPublicDate":"2022-03-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":8024,"text":"Technical Bulletin of the Maine Agricultural & Forest Experiment Station","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"207","title":"A manual for remote sensing of Maine lake clarity","docAbstract":"<p><span>The purpose of this manual is to support use of satellite-based remote sensing for statewide lake water-quality monitoring in Maine. The authors describe step-by-step methods that combine Landsat and MODIS satellite data with field-collected Secchi disk data for statewide assessment of lake water clarity. Landsat can be simul­taneously used to assess more than Maine 1,000 lakes ≥ 8 ha, whereas MODIS can be used to assess a maximum of 364 lakes ≥ 100 ha (250-m image resolution) or 83 lakes ≥ 400 ha (500-m image resolution). Although the methods were specifically developed for Maine, other states or non-Maine agen­cies may find these methods as useful starting points in developing their own protocols for regional remote lake monitoring.</span></p>","language":"English","publisher":"Maine Agricultural and Forest Experiment Station","usgsCitation":"Ian M. 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McCullough","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":641009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":641008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sader, Steven A.","contributorId":171436,"corporation":false,"usgs":false,"family":"Sader","given":"Steven","email":"","middleInitial":"A.","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":641010,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70043821,"text":"sir20125282 - 2013 - Hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in eastern Broome and southeastern Chenango Counties, New York","interactions":[],"lastModifiedDate":"2021-11-17T01:53:35.677134","indexId":"sir20125282","displayToPublicDate":"2021-11-16T08:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5282","displayTitle":"Hydrogeology of the Susquehanna River Valley-Fill Aquifer System and Adjacent Areas in Eastern Broome and Southeastern Chenango Counties, New York","title":"Hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in eastern Broome and southeastern Chenango Counties, New York","docAbstract":"The hydrogeology of the valley-fill aquifer system along a 32-mile reach of the Susquehanna River valley and adjacent areas was evaluated in eastern Broome and southeastern Chenango Counties, New York. The surficial geology, inferred ice-marginal positions, and distribution of stratified-drift aquifers were mapped from existing data. Ice-marginal positions, which represent pauses in the retreat of glacial ice from the region, favored the accumulation of coarse-grained deposits whereas more steady or rapid ice retreat between these positions favored deposition of fine-grained lacustrine deposits with limited coarse-grained deposits at depth. Unconfined aquifers with thick saturated coarse-grained deposits are the most favorable settings for water-resource development, and three several-mile-long sections of valley were identified (mostly in Broome County) as potentially favorable: (1) the southernmost valley section, which extends from the New York–Pennsylvania border to about 1 mile north of South Windsor, (2) the valley section that rounds the west side of the umlaufberg (an isolated bedrock hill within a valley) north of Windsor, and (3) the east–west valley section at the Broome County–Chenango County border from Nineveh to East of Bettsburg (including the lower reach of the Cornell Brook valley). Fine-grained lacustrine deposits form extensive confining units between the unconfined areas, and the water-resource potential of confined aquifers is largely untested. Recharge, or replenishment, of these aquifers is dependent not only on infiltration of precipitation directly on unconfined aquifers, but perhaps more so from precipitation that falls in adjacent upland areas. Surface runoff and shallow groundwater from the valley walls flow downslope and recharge valley aquifers. Tributary streams that drain upland areas lose flow as they enter main valleys on permeable alluvial fans. This infiltrating water also recharges valley aquifers. Current (2012) use of water resources in the area is primarily through domestic wells, most of which are completed in fractured bedrock in upland areas. A few villages in the Susquehanna River valley have supply wells that draw water from beneath alluvial fans and near the Susquehanna River, which is a large potential source of water from induced infiltration.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125282","collaboration":"Prepared in cooperation with New York State Department of Environmental Conservation","usgsCitation":"Heisig, P.M., 2013, Hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in eastern Broome and southeastern Chenango Counties, New York: U.S. Geological Survey Scientific Investigations Report 2012–5282, 21 p., at https://pubs.usgs.gov/sir/2012/5282.","productDescription":"vii, 21 p.; 1 Appendix; Map: 1 Sheet: 30.50 x 38.00 inches","startPage":"i","endPage":"21","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":267842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5282.gif"},{"id":267840,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5282/appendix1/Appendix%201.xlsx"},{"id":267839,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5282/"},{"id":267841,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5282/plate.html"}],"scale":"24000","country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.76,40.48 ], [ -79.76,45.02 ], [ -71.85,45.02 ], [ -71.85,40.48 ], [ -79.76,40.48 ] ] ] } } ] }","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2013-02-20","noUsgsAuthors":false,"publicationDate":"2013-02-20","publicationStatus":"PW","scienceBaseUri":"5125f087e4b09d00759cd058","contributors":{"authors":[{"text":"Heisig, Paul M. 0000-0003-0338-4970 pmheisig@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":793,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul","email":"pmheisig@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474273,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045244,"text":"ofr20121247 - 2013 - The Shoreline Management Tool—An ArcMap tool for analyzing water depth, inundated area, volume, and selected habitats, with an example for the lower Wood River Valley, Oregon","interactions":[],"lastModifiedDate":"2020-01-13T06:18:45","indexId":"ofr20121247","displayToPublicDate":"2020-01-10T14:00:00","publicationYear":"2013","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":"2012-1247","displayTitle":"The Shoreline Management Tool—An ArcMap Tool for Analyzing Water Depth, Inundated Area, Volume, and Selected Habitats, with an Example for the Lower Wood River Valley, Oregon","title":"The Shoreline Management Tool—An ArcMap tool for analyzing water depth, inundated area, volume, and selected habitats, with an example for the lower Wood River Valley, Oregon","docAbstract":"<p>The Shoreline Management Tool is a geographic information system (GIS) based program developed to assist water- and land-resource managers in assessing the benefits and effects of changes in surface-water stage on water depth, inundated area, and water volume. Additionally, the Shoreline Management Tool can be used to identify aquatic or terrestrial habitat areas where conditions may be suitable for specific plants or animals as defined by user-specified criteria including water depth, land-surface slope, and land-surface aspect. The tool can also be used to delineate areas for use in determining a variety of hydrologic budget components such as surface-water storage, precipitation, runoff, or evapotranspiration.</p><p>The Shoreline Management Tool consists of two parts, a graphical user interface for use with Esri™ ArcMap™ GIS software to interact with the user to define scenarios and map results, and a spreadsheet in Microsoft® Excel® developed to display tables and graphs of the results. The graphical user interface allows the user to define a scenario consisting of an inundation level (stage), land areas (parcels), and habitats (areas meeting user-specified conditions) based on water depth, slope, and aspect criteria. The tool uses data consisting of land-surface elevation, tables of stage/volume and stage/area, and delineated parcel boundaries to produce maps (data layers) of inundated areas and areas that meet the habitat criteria. The tool can be run in a Single-Time Scenario mode or in a Time-Series Scenario mode, which uses an input file of dates and associated stages. The spreadsheet part of the tool uses a macro to process the results from the graphical user interface to create tables and graphs of inundated water volume, inundated area, dry area, and mean water depth for each land parcel based on the user-specified stage. The macro also creates tables and graphs of the area, perimeter, and number of polygons comprising the user-specified habitat areas within each parcel.</p><p>The Shoreline Management Tool is highly transferable, using easily generated or readily available data. The capabilities of the tool are demonstrated using data from the lower Wood River Valley adjacent to Upper Klamath and Agency Lakes in southern Oregon.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121247","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Snyder, D.T., Haluska, T.L., and Respini-Irwin, D., 2013, The Shoreline Management Tool—An ArcMap tool for analyzing water depth, inundated area, volume, and selected habitats, with an example for the lower Wood River Valley, Oregon: U.S. Geological Survey Open-File Report 2012–1247, 86 p. (Also available at https://pubs.usgs.gov/of/2012/1247/.)","productDescription":"Report: viii, 86 p.; 2 Videos: 3 minutes; Companion File","numberOfPages":"98","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":270535,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121247.jpg","text":"Report"},{"id":371153,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1247/videos.zip","text":"Videos","size":"45.4 MB","linkFileType":{"id":6,"text":"zip"}},{"id":270531,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1247/ofr20121247.pdf","text":"Report","size":"9.09 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2012-1247"},{"id":371154,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1247/faq.pdf","text":"Shoreline Management Tool—Frequently Asked Questions","size":"105 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":371166,"rank":5,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_OFR2012-1247_v20130410.zip","text":"Generic version","size":"39 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Intended for use in any area. Required input data must be prepared by the users as described in the report. Example Python scripts are provided to assist with the data preparation. Includes all ancillary files except those specific to the lower Wood River Valley example."},{"id":371167,"rank":6,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_NAVD88_OFR2012-1247_v20130410.zip","text":"Example version for the Lower Wood River Valley, Oregon - NAVD88","size":"1.9 GB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Contains all required data for use in the lower Wood River Valley of southern Oregon. Ready to run. Utilizes the North American Vertical Datum of 1988 (NAVD88) for elevation reference. Useful for training purposes or examination of input datasets and output results. Includes all ancillary files."},{"id":371168,"rank":7,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_NGVD29_OFR2012-1247_v20130410.zip","text":"Example version for the Lower Wood River Valley, Oregon - NGVD29/UKLVD","size":"2.0 GB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Contains all required data for use in the lower Wood River Valley of southern Oregon. Ready to run. Utilizes the National Geodetic Vertical Datum of 1929 (NGVD29) for elevation reference. Also contains data for use with the Upper Klamath Lake Vertical Datum (UKLVD). Useful for training purposes or examination of input datasets and output results. Includes all ancillary files."}],"country":"United States","state":"Oregon","otherGeospatial":"Wood River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.61,42.0 ], [ -124.61,46.29 ], [ -116.46,46.29 ], [ -116.46,42.0 ], [ -124.61,42.0 ] ] ] } } ] }","contact":"<p><a href=\"https://www.usgs.gov/centers/or-water\" data-mce-href=\"https://www.usgs.gov/centers/or-water\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201<br><br><a href=\"http://or.water.usgs.gov/proj/shoreline/maillist.html\" data-mce-href=\"http://or.water.usgs.gov/proj/shoreline/maillist.html\">Mailing List</a><br>Request to be notified of updates or<br>receive useful information about the<br>Shoreline Management Tool</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>The Shoreline Management Tool</li><li>An Example for the Lower Wood River Valley, Oregon</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix A. Shoreline Management Tool User’s Guide</li><li>Appendix B. Preparation of Input Data for use with the Shoreline Management Tool</li><li>Appendix C. Data Files for the Lower Wood River Valley for Use with the Shoreline Management Tool</li><li>Appendix D. Example Python Programming Language Scripts to Automate Data Preparation for the Shoreline Management Tool</li></ul>","publishedDate":"2013-04-03","revisedDate":"2013-04-26","noUsgsAuthors":false,"publicationDate":"2013-04-03","publicationStatus":"PW","scienceBaseUri":"515d4162e4b0803bd2eec4ff","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":477119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haluska, Tana 0000-0001-6307-4769 thaluska@usgs.gov","orcid":"https://orcid.org/0000-0001-6307-4769","contributorId":1708,"corporation":false,"usgs":true,"family":"Haluska","given":"Tana","email":"thaluska@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Respini-Irwin, Darius","contributorId":51177,"corporation":false,"usgs":true,"family":"Respini-Irwin","given":"Darius","email":"","affiliations":[],"preferred":false,"id":477121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}