{"pageNumber":"593","pageRowStart":"14800","pageSize":"25","recordCount":68919,"records":[{"id":70048858,"text":"fs20133072 - 2013 - U.S. Geological Survey water resources Internet tools","interactions":[],"lastModifiedDate":"2017-01-27T11:02:32","indexId":"fs20133072","displayToPublicDate":"2013-11-07T09:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3072","title":"U.S. Geological Survey water resources Internet tools","docAbstract":"<p>The U.S. Geological Fact Sheet (USGS) provides a wealth of information on hydrologic data, maps, graphs, and other resources for your State.</p><p>Sources of water resources information are listed below.</p><p><a href=\"http://waterwatch.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://waterwatch.usgs.gov/\">WaterWatch</a></p><p><a href=\"http://waterwatch.usgs.gov/wqwatch\" target=\"_blank\" data-mce-href=\"http://waterwatch.usgs.gov/wqwatch\">WaterQualityWatch</a></p><p><a href=\"http://groundwaterwatch.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://groundwaterwatch.usgs.gov/\">Groundwater Watch</a></p><p><a href=\"http://water.usgs.gov/waternow/\" target=\"_blank\" data-mce-href=\"http://water.usgs.gov/waternow/\">WaterNow</a></p><p><a href=\"http://water.usgs.gov/wateralert/\" target=\"_blank\" data-mce-href=\"http://water.usgs.gov/wateralert/\">WaterAlert</a></p><p><a href=\"http://wim.usgs.gov/FIMI/\" target=\"_blank\" data-mce-href=\"http://wim.usgs.gov/FIMI/\">USGS Flood Inundation Mapper</a></p><p><a href=\"http://waterdata.usgs.gov/nwis\" target=\"_blank\" data-mce-href=\"http://waterdata.usgs.gov/nwis\">National Water Information System (NWIS)</a></p><p><a href=\"http://streamstats.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://streamstats.usgs.gov/\">StreamStats</a></p><p><a href=\"http://cida.usgs.gov/nawqa_www/nawqa_data_redirect.html?p=nawqa:\" target=\"_blank\" data-mce-href=\"http://cida.usgs.gov/nawqa_www/nawqa_data_redirect.html?p=nawqa:\">National Water Quality Assessment (NAWOA)</a></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133072","usgsCitation":"Shaffer, K.H., 2016, U.S. Geological Survey water resources Internet tools (ver. 1.1 August 2016): U.S. Geological Survey Fact 2013–3072, 2 p., https://dx.doi.org/10.3133/fs20133072.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":278898,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3072/pdf/fs20133072.pdf","size":"6.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2013-3072"},{"id":325346,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2013/3072/versionHist.txt","size":"1 MB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2013-3072"},{"id":278899,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3072/index.html","description":"FS 2013-3072"},{"id":278900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2013/3072/images/coverthbr.jpg"}],"edition":"Version 1.0: Originally posted November 7, 2013; Version 1.1: August 10, 2016","contact":"<p>Office of Surface Water<br> U.S. Geological Survey<br> 415 National Center<br> 12201 Sunrise Valley Drive<br> Reston, VA 20192<br> <a href=\"http://water.usgs.gov/osw/\" data-mce-href=\"http://water.usgs.gov/osw/\">http://water.usgs.gov/osw/</a></p>","publishedDate":"2013-11-07","revisedDate":"2016-08-10","noUsgsAuthors":false,"publicationDate":"2013-11-07","publicationStatus":"PW","scienceBaseUri":"527cb954e4b0850ea050a8d8","contributors":{"authors":[{"text":"Shaffer, Kimberly H.","contributorId":98275,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly H.","affiliations":[],"preferred":false,"id":485755,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048857,"text":"ofr20131087 - 2013 - Physical, chemical, and isotopic data from groundwater in the watershed of Mirror Lake, and in the vicinity of Hubbard Brook, near West Thornton, New Hampshire, 1983 to 1997","interactions":[],"lastModifiedDate":"2013-11-14T16:11:31","indexId":"ofr20131087","displayToPublicDate":"2013-11-07T08:22:00","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":"2013-1087","title":"Physical, chemical, and isotopic data from groundwater in the watershed of Mirror Lake, and in the vicinity of Hubbard Brook, near West Thornton, New Hampshire, 1983 to 1997","docAbstract":"Research on the hydrogeologic setting of Mirror Lake near West Thornton, New Hampshire (43° 56.5’ N, 71° 41.5’ W), includes the study of the physical, chemical, and isotopic characteristics of groundwater in the vicinity of the lake and nearby Hubbard Brook. Presented here are those physical, chemical, and isotopic data for the period 1983 to 1997. Data were collected from observation wells installed in glacial drift and bedrock, as well as from one domestic well in the general area of the lake and Hubbard Brook. Also presented are data for Mirror Lake for August 1, 1993, to place groundwater data in context with chemical and isotopic characteristics of the lake.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131087","collaboration":"Prepared in cooperation with the Institute of Ecosystem Studies","usgsCitation":"LaBaugh, J.W., Harte, P.T., Shapiro, A.M., Hsieh, P.A., Johnson, C.D., Goode, D., Wood, W., Buso, D.C., Likens, G.E., and Winter, T.C., 2013, Physical, chemical, and isotopic data from groundwater in the watershed of Mirror Lake, and in the vicinity of Hubbard Brook, near West Thornton, New Hampshire, 1983 to 1997: U.S. Geological Survey Open-File Report 2013-1087, viii, 147 p., https://doi.org/10.3133/ofr20131087.","productDescription":"viii, 147 p.","numberOfPages":"155","onlineOnly":"Y","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":278895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131087.gif"},{"id":278893,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1087/"},{"id":278894,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1087/pdf/of2013-1087.pdf"}],"country":"United States","state":"New Hampshire","otherGeospatial":"Mirror Lake;West Thornton","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.847,43.852 ], [ -71.847,44.03 ], [ -71.560,44.03 ], [ -71.560,43.852 ], [ -71.847,43.852 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cb954e4b0850ea050a8d5","contributors":{"authors":[{"text":"LaBaugh, James W. 0000-0002-4112-2536 jlabaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-4112-2536","contributorId":1311,"corporation":false,"usgs":true,"family":"LaBaugh","given":"James","email":"jlabaugh@usgs.gov","middleInitial":"W.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":485746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":485749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true}],"preferred":true,"id":485747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":485748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Warren W.","contributorId":47770,"corporation":false,"usgs":false,"family":"Wood","given":"Warren W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":485752,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buso, Donald C.","contributorId":33212,"corporation":false,"usgs":true,"family":"Buso","given":"Donald","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485751,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Likens, Gene E.","contributorId":56363,"corporation":false,"usgs":true,"family":"Likens","given":"Gene","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":485753,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Winter, Thomas C.","contributorId":84736,"corporation":false,"usgs":true,"family":"Winter","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485754,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70048835,"text":"70048835 - 2013 - Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico using AVIRIS data","interactions":[],"lastModifiedDate":"2013-11-06T13:40:53","indexId":"70048835","displayToPublicDate":"2013-11-06T13:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico using AVIRIS data","docAbstract":"The British Petroleum Deepwater Horizon Oil Spill in the Gulf of Mexico was the biggest oil spill in US history. To assess the impact of the oil spill on the saltmarsh plant community, we examined Advanced Visible Infrared Imaging Spectrometer (AVIRIS) data flown over Barataria Bay, Louisiana in September 2010 and August 2011. Oil contamination was mapped using oil absorption features in pixel spectra and used to examine impact of oil along the oiled shorelines. Results showed that vegetation stress was restricted to the tidal zone extending 14 m inland from the shoreline in September 2010. Four indexes of plant stress and three indexes of canopy water content all consistently showed that stress was highest in pixels next to the shoreline and decreased with increasing distance from the shoreline. Index values along the oiled shoreline were significantly lower than those along the oil-free shoreline. Regression of index values with respect to distance from oil showed that in 2011, index values were no longer correlated with proximity to oil suggesting that the marsh was on its way to recovery. Change detection between the two dates showed that areas denuded of vegetation after the oil impact experienced varying degrees of re-vegetation in the following year. This recovery was poorest in the first three pixels adjacent to the shoreline. This study illustrates the usefulness of high spatial resolution airborne imaging spectroscopy to map actual locations where oil from the spill reached the shore and then to assess its impacts on the plant community. We demonstrate that post-oiling trends in terms of plant health and mortality could be detected and monitored, including recovery of these saltmarsh meadows one year after the oil spill.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0078989","usgsCitation":"Khanna, S., Santos, M.J., Ustin, S.L., Koltunov, A., Kokaly, R., and Roberts, D.A., 2013, Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico using AVIRIS data: PLoS ONE, v. 8, no. 11, 13 p., https://doi.org/10.1371/journal.pone.0078989.","productDescription":"13 p.","numberOfPages":"13","ipdsId":"IP-049577","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":473450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0078989","text":"Publisher Index Page"},{"id":278888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278882,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0078989"}],"country":"United States","state":"Louisiana","otherGeospatial":"Bataria Bay;Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0325,28.5459 ], [ -92.0325,30.1333 ], [ -87.6819,30.1333 ], [ -87.6819,28.5459 ], [ -92.0325,28.5459 ] ] ] } } ] }","volume":"8","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-11-05","publicationStatus":"PW","scienceBaseUri":"527b650de4b0a7295d9b55dd","contributors":{"authors":[{"text":"Khanna, Shruti","contributorId":74287,"corporation":false,"usgs":true,"family":"Khanna","given":"Shruti","affiliations":[],"preferred":false,"id":485734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Santos, Maria J.","contributorId":49694,"corporation":false,"usgs":true,"family":"Santos","given":"Maria","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ustin, Susan L.","contributorId":52878,"corporation":false,"usgs":false,"family":"Ustin","given":"Susan","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":485732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koltunov, Alexander","contributorId":73912,"corporation":false,"usgs":true,"family":"Koltunov","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":485733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":485735,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":485736,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048819,"text":"fs20133098 - 2013 - Asian carp behavior in response to static water gun firing","interactions":[],"lastModifiedDate":"2013-11-14T17:42:56","indexId":"fs20133098","displayToPublicDate":"2013-11-06T12:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3098","title":"Asian carp behavior in response to static water gun firing","docAbstract":"The potential for invasion of Asian carp into the Great Lakes has ecological and socio-economic implications. If they become established, Asian carp are predicted to alter lake ecosystems and impact commercial and recreational fisheries. The Chicago Sanitary and Shipping Canal is an important biological conduit between the Mississippi River Basin, where invasive Asian carp are abundant, and the Great Lakes. Millions of dollars have been spent to erect an electric barrier defense in the canal to prevent movement of Asian carp into the Great Lakes, but the need for additional fish deterrent technologies to supplement the existing barrier is warranted. Scientists with the U.S. Geological Survey Northern Rocky Mountain Science Center are examining seismic water gun technology, formerly used in oceanic oil exploration, as a fish deterrent. The goal of the current study is to employ telemetry and sonar monitoring equipment to assess the behavioral response of Asian carp to seismic water guns and the sound energy it generates.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133098","usgsCitation":"Layhee, M.J., Gross, J.A., Parsley, M.J., Romine, J.G., Glover, D.C., Suski, C.D., Wagner, T.L., Sepulveda, A., and Gresswell, R., 2013, Asian carp behavior in response to static water gun firing: U.S. Geological Survey Fact Sheet 2013-3098, 4 p., https://doi.org/10.3133/fs20133098.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-042911","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":278881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133098.jpg"},{"id":278880,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3098/pdf/fs2013-3098.pdf"},{"id":278879,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3098/"}],"country":"United States","state":"Illinois","city":"Morris;Illinois","otherGeospatial":"Chicago Sanitary And Shipping Canal;Great Lakes;Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.5739,41.2942 ], [ -88.5739,41.8582 ], [ -87.4094,41.8582 ], [ -87.4094,41.2942 ], [ -88.5739,41.2942 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527b64dee4b0a7295d9b5521","contributors":{"authors":[{"text":"Layhee, Megan J. 0000-0003-1359-1455 mlayhee@usgs.gov","orcid":"https://orcid.org/0000-0003-1359-1455","contributorId":3955,"corporation":false,"usgs":true,"family":"Layhee","given":"Megan","email":"mlayhee@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":485711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Jackson A.","contributorId":14273,"corporation":false,"usgs":true,"family":"Gross","given":"Jackson","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsley, Michael J. 0000-0003-0097-6364 mparsley@usgs.gov","orcid":"https://orcid.org/0000-0003-0097-6364","contributorId":2608,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","email":"mparsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":485709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":485710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glover, David C.","contributorId":103562,"corporation":false,"usgs":true,"family":"Glover","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Suski, Cory D.","contributorId":31296,"corporation":false,"usgs":true,"family":"Suski","given":"Cory","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":485715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Tristany L.","contributorId":32442,"corporation":false,"usgs":true,"family":"Wagner","given":"Tristany","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485716,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":485712,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gresswell, Robert E.","contributorId":13194,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert E.","affiliations":[],"preferred":false,"id":485713,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70048808,"text":"70048808 - 2013 - Recent lake ice-out phenology within and among lake districts of Alaska, U.S.A.","interactions":[],"lastModifiedDate":"2013-11-06T10:24:19","indexId":"70048808","displayToPublicDate":"2013-11-06T10:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Recent lake ice-out phenology within and among lake districts of Alaska, U.S.A.","docAbstract":"The timing of ice-out in high latitudes is a fundamental threshold for lake ecosystems and an indicator of climate change. In lake-rich regions, the loss of ice cover also plays a key role in landscape and climatic processes. Thus, there is a need to understand lake ice phenology at multiple scales. In this study, we observed ice-out timing on 55 large lakes in 11 lake districts across Alaska from 2007 to 2012 using satellite imagery. Sensor networks in two lake districts validated satellite observations and provided comparison with smaller lakes. Over this 6 yr period, the mean lake ice-out for all lakes was 27 May and ranged from 07 May in Kenai to 06 July in Arctic Coastal Plain lake districts with relatively low inter-annual variability. Approximately 80% of the variation in ice-out timing was explained by the date of 0°C air temperature isotherm and lake area. Shoreline irregularity, watershed area, and river connectivity explained additional variation in some districts. Coherence in ice-out timing within the lakes of each district was consistently strong over this 6 yr period, ranging from r-values of 0.5 to 0.9. Inter-district analysis of coherence also showed synchronous ice-out patterns with the exception of the two arctic coastal districts where ice-out occurs later (June–July) and climatology is sea-ice influenced. These patterns of lake ice phenology provide a spatially extensive baseline describing short-term temporal variability, which will help decipher longer term trends in ice phenology and aid in representing the role of lake ice in land and climate models in northern landscapes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Limnology and Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Association for the Sciences of Limnology and Oceonography","doi":"10.4319/lo.2013.58.6.2013","usgsCitation":"Arp, C.D., Jones, B.M., and Grosse, G., 2013, Recent lake ice-out phenology within and among lake districts of Alaska, U.S.A.: Limnology and Oceanography, v. 58, no. 6, p. 2013-2028, https://doi.org/10.4319/lo.2013.58.6.2013.","productDescription":"16 p.","startPage":"2013","endPage":"2028","numberOfPages":"16","ipdsId":"IP-049175","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":473451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4319/lo.2013.58.6.2013","text":"Publisher Index Page"},{"id":278877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278876,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4319/lo.2013.58.6.2013"}],"country":"United States","state":"Alaska","otherGeospatial":"Ahtna;Arctic Coastal Plain;Beringia;Denali;Kenai;Koyukuk;Matanuska-susitna;Minto Flats;Tetlin;Yukon Flats;Yukon-kuskokwim Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -179.91,53.93 ], [ -179.91,72.18 ], [ -129.9,72.18 ], [ -129.9,53.93 ], [ -179.91,53.93 ] ] ] } } ] }","volume":"58","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-10-21","publicationStatus":"PW","scienceBaseUri":"527b6510e4b0a7295d9b55f0","contributors":{"authors":[{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":485684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":485683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":485685,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048809,"text":"ds792 - 2013 - Hydrographic surveys of four narrows within the Namakan reservoir system, Voyageurs National Park, Minnesota, 2011","interactions":[],"lastModifiedDate":"2013-11-21T10:36:55","indexId":"ds792","displayToPublicDate":"2013-11-06T08:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"792","title":"Hydrographic surveys of four narrows within the Namakan reservoir system, Voyageurs National Park, Minnesota, 2011","docAbstract":"The U.S. Geological Survey performed multibeam echosounder hydrographic surveys of four narrows in the Namakan reservoir system in August 2011, in cooperation with the International Joint Commission and Environment Canada. The data-collection effort was completed to provide updated and detailed hydrographic data to Environment Canada for inclusion in a Hydrologic Engineering Centers River Analysis System hydraulic model. The Namakan reservoir system is composed of Namakan, Kabetogama, Sand Point, Crane, and Little Vermilion Lakes. Water elevations in the Namakan reservoir system are regulated according to rule curves, or guidelines for water-level management based on the time of year, established by the International Joint Commission. Water levels are monitored by established gages on Crane Lake and the outlet of Namakan Lake at Kettle Falls, but water elevations throughout the system may deviate from these measured values by as much as 0.3 meters, according to lake managers and residents. Deviations from expected water elevations may be caused by between-lake constrictions (narrows). According to the 2000 Rule Curve Assessment Workgroup, hydrologic models of the reservoir system are needed to better understand the system and to evaluate the recent changes made to rule curves in 2000. \nHydrographic surveys were performed using a RESON SeaBat™7125 multibeam echosounder system. Surveys were completed at Namakan Narrows, Harrison Narrows, King Williams Narrows, and Little Vermilion Narrows. Hydrographic survey data were processed using Caris HIPS<sup>TM</sup> and SIPS<sup>TM</sup> software that interpolated a combined uncertainty and bathymetric estimator (CUBE) surface. Quality of the survey results was evaluated in relation to standards set by the International Hydrographic Organization (IHO) for describing the uncertainty of hydrographic surveys. More than 90 percent of the surveyed areas at the four narrows have resulting bed elevations that meet the IHO “Special Order” quality. Survey datasets published in this report are formatted as text files of x-y-z coordinates and as CARIS Spatial Archive<sup>TM</sup> (CSAR<sup>TM</sup>) files with corresponding metadata.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds792","collaboration":"Prepared in cooperation with the International Joint Commission and Environment Canada","usgsCitation":"Densmore, B.K., Strauch, K.R., and Ziegeweid, J.R., 2013, Hydrographic surveys of four narrows within the Namakan reservoir system, Voyageurs National Park, Minnesota, 2011: U.S. Geological Survey Data Series 792, Report: iv, 12 p.; Downloads Directory, https://doi.org/10.3133/ds792.","productDescription":"Report: iv, 12 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-041944","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":278872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds792.gif"},{"id":278871,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/792/downloads/"},{"id":278869,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/792/pdf/ds792.pdf"},{"id":278870,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/792/"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.760315,48.145931 ], [ -92.760315,48.466548 ], [ -92.397766,48.466548 ], [ -92.397766,48.145931 ], [ -92.760315,48.145931 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527b650fe4b0a7295d9b55e6","contributors":{"authors":[{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegeweid, Jeffrey R. 0000-0001-7797-3044 jrziege@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-3044","contributorId":4166,"corporation":false,"usgs":true,"family":"Ziegeweid","given":"Jeffrey","email":"jrziege@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485687,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70101798,"text":"70101798 - 2013 - Large scale snow water status monitoring: Comparison of different snow water products in the upper Colorado basins","interactions":[],"lastModifiedDate":"2022-04-13T17:03:52.638666","indexId":"70101798","displayToPublicDate":"2013-11-05T13:53:58","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Large scale snow water status monitoring: Comparison of different snow water products in the upper Colorado basins","docAbstract":"<p><span>We illustrate the ability to monitor the status of snow water content over large areas by using a spatially distributed snow accumulation and ablation model that uses data from a weather forecast model in the upper Colorado Basin. The model was forced with precipitation fields from the National Weather Service (NWS) Multi-sensor Precipitation Estimator (MPE) and the Tropical Rainfall Measuring Mission (TRMM) data-sets; remaining meteorological model input data were from NOAA's Global Forecast System (GFS) model output fields. The simulated snow water equivalent (SWE) was compared to SWEs from the Snow Data Assimilation System (SNODAS) and SNOwpack TELemetry system (SNOTEL) over a region of the western US that covers parts of the upper Colorado Basin. We also compared the SWE product estimated from the special sensor microwave imager (SSM/I) and scanning multichannel microwave radiometer (SMMR) to the SNODAS and SNOTEL SWE data-sets. Agreement between the spatial distributions of the simulated SWE with MPE data was high with both SNODAS and SNOTEL. Model-simulated SWE with TRMM precipitation and SWE estimated from the passive microwave imagery were not significantly correlated spatially with either SNODAS or the SNOTEL SWE. Average basin-wide SWE simulated with the MPE and the TRMM data were highly correlated with both SNODAS (</span><i>r</i><span>&nbsp;= 0.94 and&nbsp;</span><i>r</i><span>&nbsp;= 0.64; d.f. = 14 – d.f. = degrees of freedom) and SNOTEL (</span><i>r</i><span>&nbsp;= 0.93 and&nbsp;</span><i>r</i><span>&nbsp;= 0.68; d.f. = 14). The SWE estimated from the passive microwave imagery was significantly correlated with the SNODAS SWE (</span><i>r</i><span>&nbsp;= 0.55, d.f. = 9,&nbsp;</span><i>p</i><span>&nbsp;= 0.05) but was not significantly correlated with the SNOTEL-reported SWE values (</span><i>r</i><span>&nbsp;= 0.45, d.f. = 9,&nbsp;</span><i>p</i><span>&nbsp;= 0.05).The results indicate the applicability of the snow energy balance model for monitoring snow water content at regional scales when coupled with meteorological data of acceptable quality. The two snow water contents from the microwave imagery (SMMR and SSM/I) and the Utah Energy Balance forced with the TRMM precipitation data were found to be unreliable sources for mapping SWE in the study area; both data sets lacked discernible variability of snow water content between sites as seen in the SNOTEL and SNODAS SWE data. This study will contribute to better understanding the adequacy of data from weather forecast models, TRMM, and microwave imagery for monitoring status of the snow water content.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-17-5127-2013","usgsCitation":"Artan, G.A., Verdin, J., and Lietzow, R., 2013, Large scale snow water status monitoring: Comparison of different snow water products in the upper Colorado basins: Hydrology and Earth System Sciences, v. 17, p. 5127-5139, https://doi.org/10.5194/hess-17-5127-2013.","productDescription":"13 p.","startPage":"5127","endPage":"5139","ipdsId":"IP-018769","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473452,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-17-5127-2013","text":"Publisher Index Page"},{"id":286361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah, Wyoming","otherGeospatial":"Colorado basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.8740234375,\n              37.16031654673677\n            ],\n            [\n              -105.1171875,\n              37.16031654673677\n            ],\n            [\n              -105.1171875,\n              44.11914151643737\n            ],\n            [\n              -110.8740234375,\n              44.11914151643737\n            ],\n            [\n              -110.8740234375,\n              37.16031654673677\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","noUsgsAuthors":false,"publicationDate":"2013-12-18","publicationStatus":"PW","scienceBaseUri":"535594a9e4b0120853e8c044","contributors":{"authors":[{"text":"Artan, G. A.","contributorId":50733,"corporation":false,"usgs":false,"family":"Artan","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":492762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdin, J. P. 0000-0003-0238-9657","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":33033,"corporation":false,"usgs":true,"family":"Verdin","given":"J. P.","affiliations":[],"preferred":false,"id":492761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lietzow, R.","contributorId":89648,"corporation":false,"usgs":true,"family":"Lietzow","given":"R.","email":"","affiliations":[],"preferred":false,"id":492763,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094693,"text":"70094693 - 2013 - Using isotopes for design and monitoring of artificial recharge systems","interactions":[],"lastModifiedDate":"2018-08-08T15:37:59","indexId":"70094693","displayToPublicDate":"2013-11-05T13:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":179,"text":"IAEA TECDOC","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"1723","title":"Using isotopes for design and monitoring of artificial recharge systems","docAbstract":"Over the past years, the IAEA has provided support to a number of Member States engaged in the implementation of hydrological projects dealing with the design and monitoring of artificial recharge ( A R ) systems, primarily situated in arid and semiarid regions. AR is defined as any engineered system designed to introduce water to, and store water in, underlying aquifers. Aquifer storage and recovery (ASR) is a specific type of AR used with the purpose of increasing groundwater resources. Different water management strategies have been tested under various geographical, hydrological and climatic regimes. However, \nthe success of such schemes cannot easily be predicted, since many variables need to be taken into account in the early stages of every AR project.","language":"English","publisher":"International Atomic Energy Agency","publisherLocation":"Vienna","usgsCitation":"International Atomic Energy Agency, 2013, Using isotopes for design and monitoring of artificial recharge systems: IAEA TECDOC 1723, 59 p.","productDescription":"59 p.","numberOfPages":"74","ipdsId":"IP-016370","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":284319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282655,"type":{"id":15,"text":"Index Page"},"url":"https://www-pub.iaea.org/books/IAEABooks/10510/Using-Isotopes-for-Design-and-Monitoring-of-Artificial-Recharge-Systems"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae789de4b0abf75cf2dac1","contributors":{"authors":[{"text":"International Atomic Energy Agency","contributorId":206868,"corporation":true,"usgs":false,"organization":"International Atomic Energy Agency","id":741983,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70073846,"text":"70073846 - 2013 - Surface water quality in streams and rivers: Scaling, and climate change","interactions":[],"lastModifiedDate":"2022-12-13T16:52:57.590293","indexId":"70073846","displayToPublicDate":"2013-11-05T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4.5","title":"Surface water quality in streams and rivers: Scaling, and climate change","docAbstract":"<p><span>This chapter explores spatial and temporal scaling and the impact of climate change on four basic water quality parameters: temperature, pH, dissolved oxygen, and suspended sediment. An introduction describing the conditions and changes in these water quality parameters is presented. Temporal scaling of water quality parameters is discussed on diel (24</span><span>&nbsp;</span><span>h), precipitation event, and seasonal time scales. Discussion of longitudinal scaling of these parameters is included as well. Effects of climate change are presented here with a focus on observed trends, modeling results, and confounding factors in predicting climate change-induced shifts in water quality. This review highlights how factors such as geographic location, land cover, and human perturbations can alter water quality trends in rivers and streams.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Comprehensive water quality and purification","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-382182-9.00064-5","usgsCitation":"Loperfido, J., 2013, Surface water quality in streams and rivers: Scaling, and climate change, chap. 4.5 <i>of</i> Comprehensive water quality and purification, v. 4, p. 87-105, https://doi.org/10.1016/B978-0-12-382182-9.00064-5.","productDescription":"20 p.","startPage":"87","endPage":"105","ipdsId":"IP-033755","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":284309,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7577e4b0b2908510a42b","contributors":{"authors":[{"text":"Loperfido, John","contributorId":74667,"corporation":false,"usgs":true,"family":"Loperfido","given":"John","email":"","affiliations":[],"preferred":false,"id":489132,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048792,"text":"sir20135150 - 2013 - Estimating nitrate concentrations in groundwater at selected wells and springs in the surficial aquifer system and Upper Floridan aquifer, Dougherty Plain and Marianna Lowlands, Georgia, Florida, and Alabama, 2002-50","interactions":[],"lastModifiedDate":"2017-01-17T20:49:03","indexId":"sir20135150","displayToPublicDate":"2013-11-05T11:31:00","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":"2013-5150","title":"Estimating nitrate concentrations in groundwater at selected wells and springs in the surficial aquifer system and Upper Floridan aquifer, Dougherty Plain and Marianna Lowlands, Georgia, Florida, and Alabama, 2002-50","docAbstract":"Groundwater from the surficial aquifer system and Upper Floridan aquifer in the Dougherty Plain and Marianna Lowlands in southwestern Georgia, northwestern Florida, and southeastern Alabama is affected by elevated nitrate concentrations as a result of the vulnerability of the aquifer, irrigation water-supply development, and intensive agricultural land use. The region relies primarily on groundwater from the Upper Floridan aquifer for drinking-water and irrigation supply. Elevated nitrate concentrations in drinking water are a concern because infants under 6 months of age who drink water containing nitrate concentrations above the U.S. Environmental Protection Agency maximum contaminant level of 10 milligrams per liter as nitrogen can become seriously ill with blue baby syndrome.\n\nIn response to concerns about water quality in domestic wells and in springs in the lower Apalachicola–Chattahoochee–Flint River Basin, the Florida Department of Environmental Protection funded a study in cooperation with the U.S. Geological Survey to examine water quality in groundwater and springs that provide base flow to the Chipola River. A three-dimensional, steady-state, regional-scale groundwater-flow model and two local-scale models were used in conjunction with particle tracking to identify travel times and areas contributing recharge to six groundwater sites—three long-term monitor wells (CP-18A, CP-21A, and RF-41) and three springs (Jackson Blue Spring, Baltzell Springs Group, and Sandbag Spring) in the lower Apalachicola–Chattahoochee–Flint River Basin. Estimated nitrate input to groundwater at land surface, based on previous studies of nitrogen fertilizer sales and atmospheric nitrate deposition data, were used in the advective transport models for the period 2002 to 2050. Nitrate concentrations in groundwater samples collected from the six sites during 1993 to 2007 and groundwater age tracer data were used to calibrate the transport aspect of the simulations.\n\nMeasured nitrate concentrations (as nitrogen) in wells and springs sampled during the study ranged from 0.37 to 12.73 milligrams per liter. Average apparent ages of groundwater calculated from measurements of chlorofluorocarbon, sulfur hexafluoride, and tritium from wells CP-18A, CP-21A,and RF-41 were about 23, 29, and 32 years, respectively. Average apparent ages of groundwater from Baltzell Springs Group, Sandbag Spring, and Jackson Blue Spring were about 16, 18, and 19 years, respectively. Simulated travel times of particles from the six selected sites ranged from less than 1 day to 511 years; both the minimum and maximum particle travel times were estimated for water from Jackson Blue Spring. Median simulated travel times of particles were about 30, 38, and 62 years for Jackson Blue Spring, Sandbag Spring, and Baltzell Springs Group, respectively. Study results indicated that travel times for approximately 50 percent of the particles from all spring sites were less than 50 years. The median simulated travel times of particles arriving at receptor wells CP-18A, CP-21A, and RF-41 were about 50, 35, and 36 years, respectively. All particle travel times were within the same order of magnitude as the tracer-derived average apparent ages for water, although slightly older than the measured ages. Travel time estimates were substantially greater than the measured age for groundwater reaching well CP-18A, as confirmed by the average apparent age of water determined from tracers.\n\nLocal-scale particle-tracking models were used to predict nitrate concentrations in the three monitor wells and three springs from 2002 to 2050 for three nitrogen management scenarios: (1) fixed input of nitrate at the 2001 level, (2) reduction of nitrate inputs of 4 percent per year (from the previous year) from 2002 to 2050, and (3) elimination of nitrate input after 2001. Simulated nitrate concentrations in well CP-21A peaked at 7.82 milligrams per liter in 2030, and concentrations in background well RF-41 peaked at 1.10 milligrams per liter in 2020. The simulated particle travel times were longer than indicated by age dating analysis for groundwater in well CP-18A; to account for the poor calibration fit at this well, nitrate concentrations were shifted 21 years. With the shift, simulated nitrate concentrations in groundwater at CP-18A peaked at 13.76 milligrams per liter in 2026. For groundwater in Baltzell Springs Group, Jackson Blue Spring, and Sandbag Spring, simulated nitrate concentrations peaked at 3.77 milligrams per liter in 2006, 3.51 milligrams per liter in 2011, and 0.81 milligram per liter in 2018, respectively, under the three management scenarios. In management scenario 3 (elimination of nitrate input after 2001), simulated nitrate concentrations in Baltzell Springs Group decreased to less than background concentrations (0.10 milligram per liter) by 2033, and in Sandbag Spring concentrations decreased to less than background by 2041. Simulations using nitrate management scenarios 1 (fixed input of nitrate at 2001 levels) and 2 (reduction of 4.0 percent per year) indicate that nitrate concentrations in groundwater may remain above background concentrations through 2050 at all sites.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135150","collaboration":"National Water-Quality Assessment Program; Prepared in cooperation with the Florida Department of Environmental Protection","usgsCitation":"Crandall, C.A., Katz, B.G., and Berndt, M., 2013, Estimating nitrate concentrations in groundwater at selected wells and springs in the surficial aquifer system and Upper Floridan aquifer, Dougherty Plain and Marianna Lowlands, Georgia, Florida, and Alabama, 2002-50: U.S. Geological Survey Scientific Investigations Report 2013-5150, ix, 65 p., https://doi.org/10.3133/sir20135150.","productDescription":"ix, 65 p.","numberOfPages":"80","onlineOnly":"Y","temporalStart":"2002-01-01","temporalEnd":"2050-12-31","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":278706,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5150/"},{"id":278707,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5150/pdf/sir2013-5150.pdf"},{"id":278708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135150.gif"}],"scale":"24000","projection":"Albers Equal-Area Conic Projection","country":"United States","state":"Alabama, Florida, Georgia","otherGeospatial":"Apalachicola River Basin, Chattahoochee River Basin, Flint River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.8626,29.8562 ], [ -85.8626,32.2922 ], [ -83.6061,32.2922 ], [ -83.6061,29.8562 ], [ -85.8626,29.8562 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527a1367e4b051792d014898","contributors":{"authors":[{"text":"Crandall, Christy A. crandall@usgs.gov","contributorId":1091,"corporation":false,"usgs":true,"family":"Crandall","given":"Christy","email":"crandall@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":485654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katz, Brian G. bkatz@usgs.gov","contributorId":1093,"corporation":false,"usgs":true,"family":"Katz","given":"Brian","email":"bkatz@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":485655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berndt, Marian P.","contributorId":45296,"corporation":false,"usgs":true,"family":"Berndt","given":"Marian P.","affiliations":[],"preferred":false,"id":485656,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70129178,"text":"70129178 - 2013 - Mercury speciation and mobilization in a wastewater-contaminated groundwater plume","interactions":[],"lastModifiedDate":"2017-07-19T15:48:11","indexId":"70129178","displayToPublicDate":"2013-11-04T15:56:30","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Mercury speciation and mobilization in a wastewater-contaminated groundwater plume","docAbstract":"We measured the concentration and speciation of mercury (Hg) in groundwater down-gradient from the site of wastewater infiltration beds operated by the Massachusetts Military Reservation, western Cape Cod, Massachusetts. Total mercury concentrations in oxic, mildly acidic, uncontaminated groundwater are 0.5–1 pM, and aquifer sediments have 0.5–1 ppb mercury. The plume of impacted groundwater created by the wastewater disposal is still evident, although inputs ceased in 1995, as indicated by anoxia extending at least 3 km down-gradient from the disposal site. Solutes indicative of a progression of anaerobic metabolisms are observed vertically and horizontally within the plume, with elevated nitrate concentrations and nitrate reduction surrounding a region with elevated iron concentrations indicating iron reduction. Mercury concentrations up to 800 pM were observed in shallow groundwater directly under the former infiltration beds, but concentrations decreased with depth and with distance down-gradient. Mercury speciation showed significant connections to the redox and metabolic state of the groundwater, with relatively little methylated Hg within the iron reducing sector of the plume, and dominance of this form within the higher nitrate/ammonium zone. Furthermore, substantial reduction of Hg(II) to Hg0 within the core of the anoxic zone was observed when iron reduction was evident. These trends not only provide insight into the biogeochemical factors controlling the interplay of Hg species in natural waters, but also support hypotheses that anoxia and eutrophication in groundwater facilitate the mobilization of natural and anthropogenic Hg from watersheds/aquifers, which can be transported down-gradient to freshwaters and the coastal zone.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es402441d","usgsCitation":"Lamborg, C.H., Kent, D.B., Swarr, G.J., Munson, K.M., Kading, T., O’Connor, A.E., Fairchild, G.M., LeBlanc, D.R., and Wiatrowski, H.A., 2013, Mercury speciation and mobilization in a wastewater-contaminated groundwater plume: Environmental Science & Technology, v. 47, no. 23, p. 13239-13249, https://doi.org/10.1021/es402441d.","productDescription":"11 p.","startPage":"13239","endPage":"13249","numberOfPages":"11","ipdsId":"IP-050967","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":295473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295466,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es402441d"}],"projection":"Polyconic projection","datum":"1927 North American datum","country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","volume":"47","issue":"23","noUsgsAuthors":false,"publicationDate":"2013-11-20","publicationStatus":"PW","scienceBaseUri":"54422fa1e4b0192a5a42f3da","contributors":{"authors":[{"text":"Lamborg, Carl H.","contributorId":100307,"corporation":false,"usgs":true,"family":"Lamborg","given":"Carl","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":503525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kent, Doug B.","contributorId":89822,"corporation":false,"usgs":true,"family":"Kent","given":"Doug","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":503524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarr, Gretchen J.","contributorId":22711,"corporation":false,"usgs":true,"family":"Swarr","given":"Gretchen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":503519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Kathleen M.","contributorId":40917,"corporation":false,"usgs":true,"family":"Munson","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":503522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kading, Tristan","contributorId":32852,"corporation":false,"usgs":true,"family":"Kading","given":"Tristan","email":"","affiliations":[],"preferred":false,"id":503521,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Connor, Alison E.","contributorId":23869,"corporation":false,"usgs":true,"family":"O’Connor","given":"Alison","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":503520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fairchild, Gillian M. gfairchi@usgs.gov","contributorId":4418,"corporation":false,"usgs":true,"family":"Fairchild","given":"Gillian","email":"gfairchi@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":503518,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":503517,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wiatrowski, Heather A.","contributorId":85527,"corporation":false,"usgs":true,"family":"Wiatrowski","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":503523,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70048777,"text":"ofr20131230 - 2013 - Geomorphology and groundwater origin of amphitheater-shaped gullies at Fort Gordon, Georgia, 2010-2012","interactions":[],"lastModifiedDate":"2016-12-08T16:42:17","indexId":"ofr20131230","displayToPublicDate":"2013-11-04T12:40:00","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":"2013-1230","title":"Geomorphology and groundwater origin of amphitheater-shaped gullies at Fort Gordon, Georgia, 2010-2012","docAbstract":"Seven amphitheater-shaped gullies at valley heads in the northern part of Fort Gordon, Georgia, were identified by personnel from Fort Gordon and the U.S. Geological Survey during a field investigation of environmental contamination near the cantonment area between 2008 and 2010. Between 2010 and 2012, the amphitheater-shaped gullies were photographed, topographic features were surveyed using a global positioning system device, and the extent of erosion was estimated using Light Detection and Ranging imagery. The seven gullies are distributed across a broad area (and most likely are not the only examples) and have a similar geomorphology that includes (1) an amphitheater (semicircular) shaped escarpment at the upgradient end on a plateau of Upper Eocene sands of no readily discernible elevated catchment area or natural surface-water drainage; (2) a narrow, trench-shaped, flat-bottomed incisement of low-permeability marl at the downgradient end; and (3) steep-sided valley walls, some formed by landslides. Surface-water runoff is an unlikely cause for the amphitheater-shaped gullies, because each valley has a relatively small drainage area of sandy terrain even at those gullies that have recently received discharge from stormwater drains. Also, presumed high rates of runoff and gully formation associated with historic land uses, such as clearcutting, cotton production, and silviculture, would have occurred no later than when the fort was established in the early 1900s. The lack of an elevated catchment area at the headward scarps, the amphitheater shape, and presence of low permeability marl at the base of each feature provides the most convincing lines of evidence for headward erosion by groundwater sapping. The absence of current (2013) seeps and springs at most of the amphitheater-shaped gullies indicates that the gullies may have been formed previously by groundwater sapping under conditions of higher and (or) sustained precipitation amounts, local water-table altitudes, and seepage than current (2013) conditions. One gully characterized by groundwater seepage may support a unique ecological niche that, if assessed to contain endangered species or rare plants, could require protection under State laws.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131230","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Landmeyer, J., and Wellborn, J.B., 2013, Geomorphology and groundwater origin of amphitheater-shaped gullies at Fort Gordon, Georgia, 2010-2012: U.S. Geological Survey Open-File Report 2013-1230, v, 19 p., https://doi.org/10.3133/ofr20131230.","productDescription":"v, 19 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":278688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131230.gif"},{"id":278686,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1230/"},{"id":278687,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1230/pdf/of2013-1230.pdf"}],"country":"United States","state":"Georgia","otherGeospatial":"Fort Gordon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.413940,33.269695 ], [ -82.413940,33.446339 ], [ -82.093964,33.446339 ], [ -82.093964,33.269695 ], [ -82.413940,33.269695 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5278c1e1e4b0c04ac3417a9e","contributors":{"authors":[{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wellborn, John B.","contributorId":24822,"corporation":false,"usgs":true,"family":"Wellborn","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":485617,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048776,"text":"sir20135088 - 2013 - The effects of artificial recharge on groundwater levels and water quality in the west hydrogeologic unit of the Warren subbasin, San Bernardino County, California","interactions":[],"lastModifiedDate":"2013-11-14T18:04:37","indexId":"sir20135088","displayToPublicDate":"2013-11-04T11:31:00","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":"2013-5088","title":"The effects of artificial recharge on groundwater levels and water quality in the west hydrogeologic unit of the Warren subbasin, San Bernardino County, California","docAbstract":"Between the late 1940s and 1994, groundwater levels in the Warren subbasin, California, declined by as much as 300 feet because pumping exceeded sparse natural recharge. In response, the local water district, Hi-Desert Water District, implemented an artificial-recharge program in early 1995 using imported water from the California State Water Project. Subsequently, the water table rose by as much as 250 feet; however, a study done by the U.S. Geological Survey found that the rising water table entrained high-nitrate septic effluent, which caused nitrate (as nitrogen) concentrations in some wells to increase to more than the U.S. Environmental Protection Agency maximum contaminant level of 10 milligrams per liter..\n\nA new artificial-recharge site (site 3) was constructed in 2006 and this study, which started in 2004, was done to address concerns about the possible migration of nitrates in the unsaturated zone. The objectives of this study were to: (1) characterize the hydraulic, chemical, and microbiological properties of the unsaturated zone; (2) monitor changes in water levels and water quality in response to the artificial-recharge program at site 3; (3) determine if nitrates from septic effluent infiltrated through the unsaturated zone to the water table; (4) determine the potential for nitrates within the unsaturated zone to mobilize and contaminate the groundwater as the water table rises in response to artificial recharge; and (5) determine the presence and amount of dissolved organic carbon because of its potential to react with disinfection byproducts during the treatment of water for public use. Two monitoring sites were installed and instrumented with heat-dissipation probes, advanced tensiometers, suction-cup lysimeters, and wells so that the arrival and effects of recharging water from the State Water Project through the 250 to 425 foot-thick unsaturated zone and groundwater system could be closely observed. Monitoring site YVUZ-1 was located between two recharge ponds in the middle of site 3, and YVUZ-2 was located approximately 1,200 feet down-gradient and to the southeast in an area where septic systems have been in use since about 1960. Site YVUZ-3 only went to a depth of 42 feet and was used to sample the upper part of the unsaturated zone near a golf course. Prior to the start of artificial recharge at site 3, nitrate concentrations reported as nitrogen from the soil leachate below YVUZ-1 did not exceed 1.58 milligrams per kilogram. Nitrate-reducing bacteria concentrations of 4,300 most probable number were found at about 220 feet below land surface and at the top of the water table at YVUZ-1. Nitrate concentrations at YVUZ-2 reached a maximum concentration of about 25 milligrams per kilogram between about 100 and 121 feet below land surface; concentrations of nitrate-reducing or denitrifying bacteria were as high as 21,000 most probable number at 36 feet below land surface but did not exceed 40 most probable number below about 150 feet below land surface. Between June 2006 and September 2009, more than 9,800 acre feet of water from the State Water Project was released to site 3 ponds. The infiltration of the recharge water was predominantly vertical with limited lateral spreading to a depth of about 200 feet below land surface at YVUZ-1. Lateral spreading of the recharge water with depth was caused by geologic heterogeneities within the unsaturated zone, and resulted in varied arrival times of the recharge water to the instruments and slower rates of vertical movement with depth. No abrupt changes in soil moisture were observed at YVUZ-2, indicating that the recharge water had not reached that site by September 2009. Water levels from the monitoring wells at both sites and from five production wells nearby showed that the water table rose at a mean rate of about 0.08 feet per day between June 2006 and January 2009. The arrival of the water from the State Water Project caused relatively rapid changes in the stable-isotopic ratios from the lysimeters at YVUZ-1. The estimated average rate of infiltration of the recharge water through the unsaturated zone ranged from 3.7 to 25 feet per day. The recharge water arrived at the monitoring well below the recharge ponds between August 2007 and March 2008; the rate of vertical movement to the monitoring well was between 0.6 and 0.9 feet per day. By September 2008, a production well located 375 feet west of site 3 was producing almost 100 percent infiltrated recharge water. By contrast, the stable-isotope data from the lysimeters at YVUZ-2 showed that the recharge water had not reached this site by September 2009, but that septic effluent in the unsaturated zone likely had mixed with the native pore water to at least 154 feet below land surface. Assuming vertical infiltration, the minimum rate of infiltration of septic effluent since 1960 was about 3 feet per year. The isotopic data from the lysimeters at YVUZ-3 indicated two different sources of water to the upper 43 feet–irrigation-return flow and precipitation. Nitrate concentrations of the water from the State Water Project did not exceed 1 milligram per liter. Prior to artificial recharge, nitrate concentrations of the pore water at YVUZ-1 ranged between 6 to 18.2 milligrams per liter. After the arrival of the recharge water, the nitrate concentrations from the lysimeters and well at YVUZ-1 decreased to less than 1 milligram per liter, with the exception of samples collected at 205.5 feet, which did not exceed 4.12 milligrams per liter. The decrease in nitrate concentrations after artificial recharge indicated that the rising water table did not result in an increase of nitrates below YVUZ-1. At YVUZ-2, nitrate concentrations ranged between 12 to 479 milligrams per liter. The highest nitrate concentrations were at 92 feet below land surface and were almost seven times that of samples collected from a nearby septic tank. Nitrate concentrations from the lysimeter at 273 feet below land surface increased from 6 to almost 58 milligrams per liter after it was saturated by the rising water table in December 2007. These increases could be the result of the mobilization of high-nitrate water from regional sources of septic effluent after saturation, or the result of high-nitrate water present at the top of the water table that may be diluted deeper in the aquifer. Nitrate concentrations in groundwater from five nearby production wells and from both monitoring wells were less than 5 milligrams per liter before artificial recharge started. Nitrate concentrations decreased to less than 3 milligrams per liter in three of the production wells and the monitoring well below the recharge ponds after artificial recharge. Dissolved organic carbon concentrations were measured in the recharge water and groundwater because of the potential for dissolved organic carbon to react with chlorine to form trihalomethanes during the water-treatment process. The dissolved organic carbon concentrations of the recharge water were 3.1 milligrams per liter or less, and dissolved organic carbon concentrations of the groundwater were less than 1 milligram per liter. Even though recharge water was present in some of the wells by September 2008, the concentrations of both dissolved organic carbon and trihalomethane formation potential in the groundwater did not increase. Interpretation of these data suggests that the dissolved organic carbon from the recharge water is altered or metabolized in the unsaturated zone, either by absorption to the grain particles in the soil or by microbiological processes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135088","collaboration":"Prepared in cooperation with the Hi-Desert Water District","usgsCitation":"Stamos, C., Martin, P., Everett, R., and Izbicki, J., 2013, The effects of artificial recharge on groundwater levels and water quality in the west hydrogeologic unit of the Warren subbasin, San Bernardino County, California: U.S. Geological Survey Scientific Investigations Report 2013-5088, Report: xii, 88 p.; Appendix 4: XLSX file; Appendix 5: XLSX file; Appendix 7: XLSX file; Appendix 8: XLSX file, https://doi.org/10.3133/sir20135088.","productDescription":"Report: xii, 88 p.; Appendix 4: XLSX file; Appendix 5: XLSX file; Appendix 7: XLSX file; Appendix 8: XLSX file","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":278685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135088.jpg"},{"id":278681,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5088/sir2013-5088_appendix5.xlsx"},{"id":278679,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5088/pdf/sir2013-5088.pdf"},{"id":278680,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5088/"},{"id":278682,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5088/sir2013-5088_appendix4.xlsx"},{"id":278683,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5088/sir2013-5088_appendix7.xlsx"},{"id":278684,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5088/sir2013-5088_appendix8.xlsx"}],"country":"United States","state":"California","county":"San Bernardino County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.493530,34.000304 ], [ -116.493530,34.148749 ], [ -116.320496,34.148749 ], [ -116.320496,34.000304 ], [ -116.493530,34.000304 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5278c217e4b0c04ac3417aa7","contributors":{"authors":[{"text":"Stamos, Christina L. 0000-0002-1007-9352","orcid":"https://orcid.org/0000-0002-1007-9352","contributorId":19593,"corporation":false,"usgs":true,"family":"Stamos","given":"Christina L.","affiliations":[],"preferred":false,"id":485615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Everett, Rhett R. 0000-0001-7983-6270 reverett@usgs.gov","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":843,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett R.","email":"reverett@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":1375,"corporation":false,"usgs":true,"family":"Izbicki","given":"John A.","email":"jaizbick@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":485614,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70136362,"text":"70136362 - 2013 - Genetics, recruitment, and migration patterns of Arctic Cisco (Coregonus autumnalis) in the Colville River, Alaska and Mackenzie River, Canada","interactions":[],"lastModifiedDate":"2014-12-30T16:03:57","indexId":"70136362","displayToPublicDate":"2013-11-01T16:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Genetics, recruitment, and migration patterns of Arctic Cisco (Coregonus autumnalis) in the Colville River, Alaska and Mackenzie River, Canada","docAbstract":"<p>Arctic cisco Coregonus autumnalis have a complex anadromous life history, many aspects of which remain poorly understood. Some life history traits of Arctic cisco from the Colville River, Alaska, and Mackenzie River basin, Canada, were investigated using molecular genetics, harvest data, and otolith microchemistry. The Mackenzie hypothesis, which suggests that Arctic cisco found in Alaskan waters originate from the Mackenzie River system, was tested using 11 microsatellite loci and a single mitochondrial DNA gene. No genetic differentiation was found among sample collections from the Colville River and the Mackenzie River system using molecular markers (P &gt; 0.19 in all comparisons). Model-based clustering methods also supported genetic admixture between sample collections from the Colville River and Mackenzie River basin. A reanalysis of recruitment patterns to Alaska, which included data from recent warm periods and suspected changes in atmospheric circulation patterns, still finds that recruitment is correlated to wind conditions. Otolith microchemistry (Sr/Ca ratios) confirmed repeated, annual movements of Arctic cisco between low-salinity habitats in winter and marine waters in summer.</p>","language":"English","publisher":"Springer-Verlag","publisherLocation":"Heidelberg","doi":"10.1007/s00300-013-1372-y","usgsCitation":"Zimmerman, C.E., Ramey, A.M., Turner, S., Mueter, F.J., Murphy, S., and Nielsen, J.L., 2013, Genetics, recruitment, and migration patterns of Arctic Cisco (Coregonus autumnalis) in the Colville River, Alaska and Mackenzie River, Canada: Polar Biology, v. 36, no. 11, p. 1543-1555, https://doi.org/10.1007/s00300-013-1372-y.","productDescription":"13 p.","startPage":"1543","endPage":"1555","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022648","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":296953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296938,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1007/s00300-013-1372-y"}],"volume":"36","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-07-12","publicationStatus":"PW","scienceBaseUri":"54dd2ba7e4b08de9379b345e","contributors":{"authors":[{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":537436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":537437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, S.","contributorId":18947,"corporation":false,"usgs":true,"family":"Turner","given":"S.","email":"","affiliations":[],"preferred":false,"id":537466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueter, Franz J.","contributorId":131144,"corporation":false,"usgs":false,"family":"Mueter","given":"Franz","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":537467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, S.","contributorId":91384,"corporation":false,"usgs":true,"family":"Murphy","given":"S.","email":"","affiliations":[],"preferred":false,"id":537468,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nielsen, Jennifer L.","contributorId":43722,"corporation":false,"usgs":true,"family":"Nielsen","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":537469,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70074105,"text":"70074105 - 2013 - Crustal-scale recycling in caldera complexes and rift zones along the Yellowstone hotspot track: O and Hf isotopic evidence in diverse zircons from voluminous rhyolites of the Picabo volcanic field, Idaho","interactions":[],"lastModifiedDate":"2023-06-02T16:49:41.533555","indexId":"70074105","displayToPublicDate":"2013-11-01T16:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Crustal-scale recycling in caldera complexes and rift zones along the Yellowstone hotspot track: O and Hf isotopic evidence in diverse zircons from voluminous rhyolites of the Picabo volcanic field, Idaho","docAbstract":"Rhyolites of the Picabo volcanic field (10.4–6.6 Ma) in eastern Idaho are preserved as thick ignimbrites and lavas along the margins of the Snake River Plain (SRP), and within a deep (>3 km) borehole near the central axis of the Yellowstone hotspot track. In this study we present new O and Hf isotope data and U–Pb geochronology for individual zircons, O isotope data for major phenocrysts (quartz, plagioclase, and pyroxene), whole rock Sr and Nd isotope ratios, and whole rock geochemistry for a suite of Picabo rhyolites. We synthesize our new datasets with published Ar–Ar geochronology to establish the eruptive framework of the Picabo volcanic field, and interpret its petrogenetic history in the context of other well-studied caldera complexes in the SRP. Caldera complex evolution at Picabo began with eruption of the 10.44±0.27 Ma (U–Pb) Tuff of Arbon Valley (TAV), a chemically zoned and normal-δ<sup>18</sup>O (δ<sup>18</sup>O magma=7.9‰) unit with high, zoned <sup>87</sup>Sr/<sup>86</sup>Sr<sub>i</sub> (0.71488–0.72520), and low-ε<sub>Nd</sub>(0) (−18) and ε<sub>Hf</sub>(0) (−28). The TAV and an associated post caldera lava flow possess the lowest ε<sub>Nd</sub>(0) (−23), indicating ∼40–60% derivation from the Archean upper crust. Normal-δ<sup>18</sup>O rhyolites were followed by a series of lower-δ<sup>18</sup>O eruptions with more typical (lower crustal) Sr–Nd–Hf isotope ratios and whole rock chemistry. The voluminous 8.25±0.26 Ma West Pocatello rhyolite has the lowest δ<sup>18</sup>O value (δ<sup>18</sup>O<sub>melt</sub>=3.3‰), and we correlate it to a 1,000 m thick intracaldera tuff present in the INEL-1 borehole (with published zircon ages 8.04–8.35 Ma, and similarly low-δ<sup>18</sup>O zircon values). The significant (4–5‰) decrease in magmatic-δ<sup>18</sup>O values in Picabo rhyolites is accompanied by an increase in zircon δ<sup>18</sup>O heterogeneity from ∼1‰ variation in the TAV to >5‰ variation in the late-stage low-δ<sup>18</sup>O rhyolites, a trend similar to what is characteristic of Heise and Yellowstone, and which indicates remelting of variably hydrothermally altered tuffs followed by rapid batch assembly prior to eruption. However, due to the greater abundance of low-δ<sup>18</sup>O rhyolites at Picabo, the eruptive framework may reflect an intertwined history of caldera collapse and coeval Basin and Range rifting and hydrothermal alteration. We speculate that the source rocks with pre-existing low-δ<sup>18</sup>O alteration may be related to: (1) deeply buried and unexposed older deposits of Picabo-age or Twin Falls-age low-δ<sup>18</sup>O volcanics; and/or (2) regionally-abundant late Eocene Challis volcanics, which were hydrothermally altered near the surface prior to or during peak Picabo magmatism. Basin and Range extension, specifically the formation of metamorphic core complexes exposed in the region, could have facilitated the generation of low-δ<sup>18</sup>O magmas by exhuming heated rocks and creating the large water-rock ratios necessary for shallow hydrothermal alteration of tectonically (rift zones) and volcanically (calderas) buried volcanic rocks. These interpretations highlight the major processes by which supereruptive volumes of magma are generated in the SRP, mechanisms applicable to producing rhyolites worldwide that are facilitated by plume driven volcanism and extensional tectonics.","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2013.08.007","usgsCitation":"Drew, D.L., Bindeman, I.N., Watts, K.E., Schmitt, A., Fu, B., and McCurry, M., 2013, Crustal-scale recycling in caldera complexes and rift zones along the Yellowstone hotspot track: O and Hf isotopic evidence in diverse zircons from voluminous rhyolites of the Picabo volcanic field, Idaho: Earth and Planetary Science Letters, v. 381, p. 63-77, https://doi.org/10.1016/j.epsl.2013.08.007.","productDescription":"15 p.","startPage":"63","endPage":"77","numberOfPages":"15","ipdsId":"IP-052097","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":281596,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Picabo Volcanic Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.2578125,\n              42.293564192170095\n            ],\n            [\n              -111.09374999999999,\n              42.293564192170095\n            ],\n            [\n              -111.09374999999999,\n              44.43377984606822\n            ],\n            [\n              -114.2578125,\n              44.43377984606822\n            ],\n            [\n              -114.2578125,\n              42.293564192170095\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"381","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd538fe4b0b290850f5362","contributors":{"authors":[{"text":"Drew, Dana L.","contributorId":66167,"corporation":false,"usgs":true,"family":"Drew","given":"Dana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":489403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bindeman, Ilya N.","contributorId":7992,"corporation":false,"usgs":true,"family":"Bindeman","given":"Ilya","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":489402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watts, Kathryn E. 0000-0002-6110-7499 kwatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":5081,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn","email":"kwatts@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":489401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmitt, Axel K.","contributorId":69287,"corporation":false,"usgs":true,"family":"Schmitt","given":"Axel K.","affiliations":[],"preferred":false,"id":489405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fu, Bin","contributorId":96584,"corporation":false,"usgs":true,"family":"Fu","given":"Bin","email":"","affiliations":[],"preferred":false,"id":489406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCurry, Michael","contributorId":68646,"corporation":false,"usgs":true,"family":"McCurry","given":"Michael","affiliations":[],"preferred":false,"id":489404,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048424,"text":"70048424 - 2013 - Spatial, seasonal, and source variability in the stable oxygen and hydrogen isotopic composition of tap waters throughout the USA","interactions":[],"lastModifiedDate":"2014-02-25T16:10:14","indexId":"70048424","displayToPublicDate":"2013-11-01T16:06:11","publicationYear":"2013","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":"Spatial, seasonal, and source variability in the stable oxygen and hydrogen isotopic composition of tap waters throughout the USA","docAbstract":"To assess spatial, seasonal, and source variability in stable isotopic composition of human drinking waters throughout the entire USA, we have constructed a database of δ<sup>18</sup>O and δ<sup>2</sup>H of US tap waters. An additional purpose was to create a publicly available dataset useful for evaluating the forensic applicability of these isotopes for human tissue source geolocation. Samples were obtained at 349 sites, from diverse population centres, grouped by surface hydrologic units for regional comparisons. Samples were taken concurrently during two contrasting seasons, summer and winter. Source supply (surface, groundwater, mixed, and cistern) and system (public and private) types were noted. The isotopic composition of tap waters exhibits large spatial and regional variation within each season as well as significant at-site differences between seasons at many locations, consistent with patterns found in environmental (river and precipitation) waters deriving from hydrologic processes influenced by geographic factors. However, anthropogenic factors, such as the population of a tap’s surrounding community and local availability from diverse sources, also influence the isotopic composition of tap waters. Even within a locale as small as a single metropolitan area, tap waters with greatly differing isotopic compositions can be found, so that tap water within a region may not exhibit the spatial or temporal coherence predicted for environmental water. Such heterogeneities can be confounding factors when attempting forensic inference of source water location, and they underscore the necessity of measurements, not just predictions, with which to characterize the isotopic composition of regional tap waters. Published 2013. This article is a U.S. Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/hyp.10004","usgsCitation":"Landwehr, J.M., Coplen, T.B., and Stewart, D.W., 2013, Spatial, seasonal, and source variability in the stable oxygen and hydrogen isotopic composition of tap waters throughout the USA: Hydrological Processes, 41 p., https://doi.org/10.1002/hyp.10004.","productDescription":"41 p.","ipdsId":"IP-026338","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":278112,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/hyp.10004/abstract"},{"id":282785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282784,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.10004"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2013-09-13","publicationStatus":"PW","scienceBaseUri":"53cd7399e4b0b290851090a3","contributors":{"authors":[{"text":"Landwehr, Jurate M. jmlandwe@usgs.gov","contributorId":2345,"corporation":false,"usgs":true,"family":"Landwehr","given":"Jurate","email":"jmlandwe@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":484616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":484615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, David W. dwstewar@usgs.gov","contributorId":2390,"corporation":false,"usgs":true,"family":"Stewart","given":"David","email":"dwstewar@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":484617,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094485,"text":"70094485 - 2013 - Factors controlling floc settling velocity along a longitudinal estuarine transect","interactions":[],"lastModifiedDate":"2020-06-05T14:20:10.591306","indexId":"70094485","displayToPublicDate":"2013-11-01T15:14:12","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Factors controlling floc settling velocity along a longitudinal estuarine transect","docAbstract":"A 147 km longitudinal transect of flocculated cohesive sediment properties in San Francisco Bay (SFB) was conducted on June 17th, 2008. Our aim was to determine the factors that control floc settling velocity along the longitudinal axis of the estuary. The INSSEV-LF video system was used to measure floc diameters and settling velocities at 30 stations at a distance of 0.7 m above the estuary bed. Floc sizes (D) ranged from 22 μm to 639 μm and settling velocities (Ws) ranged between 0.04 mm·s<sup>− 1</sup> and 15.8 mm·s<sup>− 1</sup> during the longitudinal transect. Nearbed turbulent shear stresses throughout the transect duration were within the 0.2–0.5 Pa range which typically stimulates flocculation growth. The individual D–Ws–floc density plots suggest the suspended sediments encountered throughout SFB were composed of both muddy cohesive sediment and mixed sediments flocs. Mass-weighted population mean settling velocity (Ws<sub>mass</sub>) ranged from 0.5 mm·s<sup>− 1</sup> to 10 mm·s<sup>− 1</sup>. The macrofloc and microfloc (demarcation at 160 μm) sub-populations demonstrated parameterised settling velocities which spanned nearly double the range of the sample mean settling velocities (Ws<sub>mean</sub>). The macroflocs tended to dominate the suspended mass (up to 77% of the ambient suspended solid concentration; SSC) from San Pablo Bay to Carquinez Strait (the vicinity of the turbidity maximum zone). Microfloc mass was particularly significant (typically 60–100% of the SSC) in the northern section of South Bay and most of Central Bay. The transect took eleven hours to complete and was not fully synoptic. During slack tide, larger and faster settling flocs deposited, accounting for most of the longitudinal variability. The best single predictor of settling velocity was water velocity 39 min prior to sampling, not suspended-sediment concentration or salinity. Resuspension and settling lags are likely responsible for the lagged response of settling velocity to water velocity. The distribution of individual floc diameters and settling velocities indicates that floc density for a given floc diameter varies greatly. A small portion (a few percent) of suspended sediment mass in SFB is sand-sized and inclusion of sand in flocs appears likely. Fractal theory for cohesive sediment assumes that there is a single primary particle size that flocculates, which is not the case for these types of mixed sediment flocs. The wide variability in the physical, biological and chemical processes which contribute to flocculation within SFB means that spatial floc data is required in order to accurately represent the diverse floc dynamics present in the Bay system. The importance in determining accurate estimates of floc density has been highlighted by the SFB data, as these provide the basis for realistic distributions of floc dry mass and the mass settling flux across a floc population. However, although video floc sampling devices can produce the various floc property trends observed in SFB, good survey practice is still paramount. One can see that if the sampling coverage (i.e. data collection frequency) is poor, this could lead to potential mis-interpretations of the data and only limited conclusions may be drawn from such a restricted survey. For example, a limited survey (i.e. only 3 stations, compared to the 10 stations in the full survey) in South Bay produces an under-estimate in both the macrofloc SSC<sub>macro</sub> distribution by a factor of four and the Ws<sub>macro</sub> by a factor of two. To develop sediment transport numerical models for SFB, high quality floc size and settling data are needed to understand and simulate the depositional qualities of both suspended cohesive sediment and mixed sediments in San Francisco Bay. This study has shown that the most pragmatic solution is a physically-based approach, whereby the detailed flocs D vs. Ws spectra are parameterised in terms of their macrofloc and microfloc properties. This aids in model calibration, whilst retaining more of the dynamical aspects of the floc populations. All forms of flocculation are dynamically active processes, therefore it is important to also include both SSC and turbulence functions together with the floc data.","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2013.06.018","usgsCitation":"Manning, A., and Schoellhamer, D., 2013, Factors controlling floc settling velocity along a longitudinal estuarine transect: Marine Geology, v. 345, p. 266-280, https://doi.org/10.1016/j.margeo.2013.06.018.","productDescription":"15 p.","startPage":"266","endPage":"280","numberOfPages":"15","ipdsId":"IP-011207","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":282591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.6349,37.4225 ], [ -122.6349,38.277 ], [ -121.6324,38.277 ], [ -121.6324,37.4225 ], [ -122.6349,37.4225 ] ] ] } } ] }","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd58fbe4b0b290850f86f5","contributors":{"editors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":790422,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":790423,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790424,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Manning, A.J.","contributorId":54106,"corporation":false,"usgs":true,"family":"Manning","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":490618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490619,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048199,"text":"70048199 - 2013 - Groundwater ages and mixing in the Piceance Basin natural gas province, Colorado","interactions":[],"lastModifiedDate":"2014-01-08T15:14:21","indexId":"70048199","displayToPublicDate":"2013-11-01T15:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater ages and mixing in the Piceance Basin natural gas province, Colorado","docAbstract":"Reliably identifying the effects of energy development on groundwater quality can be difficult because baseline assessments of water quality completed before the onset of energy development are rare and because interactions between hydrocarbon reservoirs and aquifers can be complex, involving both natural and human processes. Groundwater age and mixing data can strengthen interpretations of monitoring data from those areas by providing better understanding of the groundwater flow systems. Chemical, isotopic, and age tracers were used to characterize groundwater ages and mixing with deeper saline water in three areas of the Piceance Basin natural gas province. The data revealed a complex array of groundwater ages (<10 to >50,000 years) and mixing patterns in the basin that helped explain concentrations and sources of methane in groundwater. Age and mixing data also can strengthen the design of monitoring programs by providing information on time scales at which water quality changes in aquifers might be expected to occur. This information could be used to establish maximum allowable distances of monitoring wells from energy development activity and the appropriate duration of monitoring.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/es402473c","usgsCitation":"McMahon, P.B., Thomas, J.C., and Hunt, A.G., 2013, Groundwater ages and mixing in the Piceance Basin natural gas province, Colorado: Environmental Science & Technology, v. 47, no. 23, p. 13250-13257, https://doi.org/10.1021/es402473c.","productDescription":"8 p.","startPage":"13250","endPage":"13257","numberOfPages":"8","ipdsId":"IP-051460","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":280764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280762,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es402473c"}],"country":"United States","state":"Colorado","county":"Garfield County;Rio Blanco County","otherGeospatial":"Piceance Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.05,38.39 ], [ -109.05,40.22 ], [ -107.04,40.22 ], [ -107.04,38.39 ], [ -109.05,38.39 ] ] ] } } ] }","volume":"47","issue":"23","noUsgsAuthors":false,"publicationDate":"2013-11-13","publicationStatus":"PW","scienceBaseUri":"53cd5fe3e4b0b290850fc93d","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":483976,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094488,"text":"70094488 - 2013 - Comparison of sediment supply to San Francisco Bay from watersheds draining the Bay Area and the Central Valley of California","interactions":[],"lastModifiedDate":"2020-06-05T14:23:39.123768","indexId":"70094488","displayToPublicDate":"2013-11-01T14:39:58","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of sediment supply to San Francisco Bay from watersheds draining the Bay Area and the Central Valley of California","docAbstract":"Quantifying suspended sediment loads is important for managing the world's estuaries in the context of navigation, pollutant transport, wetland restoration, and coastal erosion. To address these needs, a comprehensive analysis was completed on sediment supply to San Francisco Bay from fluvial sources. Suspended sediment, optical backscatter, velocity data near the head of the estuary, and discharge data obtained from the output of a water balance model were used to generate continuous suspended sediment concentration records and compute loads to the Bay from the large Central Valley watershed. Sediment loads from small tributary watersheds around the Bay were determined using 235 station-years of suspended sediment data from 38 watershed locations, regression analysis, and simple modeling. Over 16 years, net annual suspended sediment load to the head of the estuary from its 154,000 km<sup>2</sup> Central Valley watershed varied from 0.13 to 2.58 (mean = 0.89) million metric t of suspended sediment, or an average yield of 11 metric t/km<sup>2</sup>/yr. Small tributaries, totaling 8145 km<sup>2</sup>, in the nine-county Bay Area discharged between 0.081 and 4.27 (mean = 1.39) million metric t with a mean yield of 212 metric t/km<sup>2</sup>/yr. The results indicate that the hundreds of urbanized and tectonically active tributaries adjacent to the Bay, which together account for just 5% of the total watershed area draining to the Bay and provide just 7% of the annual average fluvial flow, supply 61% of the suspended sediment. The small tributary loads are more variable (53-fold between years compared to 21-fold for the inland Central Valley rivers) and dominated fluvial sediment supply to the Bay during 10 out of 16 yr. If San Francisco Bay is typical of other estuaries in active tectonic or climatically variable coastal regimes, managers responsible for water quality, dredging and reusing sediment accumulating in shipping channels, or restoring wetlands in the world's estuaries may need to more carefully account for proximal small urbanized watersheds that may dominate sediment supply.","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2013.03.003","usgsCitation":"McKee, L., Lewicki, M., Schoellhamer, D., and Ganju, N., 2013, Comparison of sediment supply to San Francisco Bay from watersheds draining the Bay Area and the Central Valley of California: Marine Geology, v. 345, p. 47-62, https://doi.org/10.1016/j.margeo.2013.03.003.","productDescription":"16 p.","startPage":"47","endPage":"62","numberOfPages":"16","ipdsId":"IP-039414","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":282589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley, San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.5303,37.0069 ], [ -123.5303,38.6941 ], [ -120.8716,38.6941 ], [ -120.8716,37.0069 ], [ -123.5303,37.0069 ] ] ] } } ] }","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5213e4b0b290850f44fc","contributors":{"editors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":2880,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":790428,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":790429,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790430,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"McKee, L.J.","contributorId":84562,"corporation":false,"usgs":true,"family":"McKee","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":490629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewicki, M.","contributorId":65379,"corporation":false,"usgs":true,"family":"Lewicki","given":"M.","email":"","affiliations":[],"preferred":false,"id":490628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":140088,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":490627,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70112523,"text":"70112523 - 2013 - Does centennial morphodynamic evolution lead to higher channel efficiency in San Pablo Bay, California?","interactions":[],"lastModifiedDate":"2020-06-05T14:44:42.854024","indexId":"70112523","displayToPublicDate":"2013-11-01T14:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Does centennial morphodynamic evolution lead to higher channel efficiency in San Pablo Bay, California?","docAbstract":"<p>Measured bathymetries on 30 year interval over the past 150 years show that San Pablo Bay experienced periods of considerable deposition followed by periods of net erosion. However, the main channel in San Pablo Bay has continuously narrowed. The underlying mechanisms and consequences of this tidal channel evolution are not well understood.</p>\n<br/>\n<p>The central question of this study is whether tidal channels evolve towards a geometry that leads to more efficient hydraulic conveyance and sediment throughput. We applied a hydrodynamic process-based, numerical model (Delft3D), which was run on 5 San Pablo Bay bathymetries measured between 1856 and 1983.</p>\n<br/>\n<p>Model results shows increasing energy dissipation levels for lower water flows leading to an approximately 15% lower efficiency in 1983 compared to 1856. During the same period the relative seaward sediment throughput through the San Pablo Bay main channel increased by 10%. A probable explanation is that San Pablo Bay is still affected by the excessive historic sediment supply. Sea level rise and Delta surface water area variations over 150 years have limited effect on the model results. With expected lower sediment concentrations in the watershed and less impact of wind waves due to erosion of the shallow flats, it is possible that energy dissipations levels will decrease again in future decades. Our study suggests that the morphodynamic adaptation time scale to excessive variations in sediment supply to estuaries may be on the order of centuries.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2013.06.020","usgsCitation":"van der Wegen, M., and Jaffe, B.E., 2013, Does centennial morphodynamic evolution lead to higher channel efficiency in San Pablo Bay, California?: Marine Geology, v. 345, p. 254-265, https://doi.org/10.1016/j.margeo.2013.06.020.","productDescription":"12 p.","startPage":"254","endPage":"265","numberOfPages":"12","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":288649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay, San Pablo Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.6229,37.333 ], [ -122.6229,38.2598 ], [ -121.1534,38.2598 ], [ -121.1534,37.333 ], [ -122.6229,37.333 ] ] ] } } ] }","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae768ae4b0abf75cf2bf93","contributors":{"editors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":509889,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":509891,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":509890,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"van der Wegen, M.","contributorId":106720,"corporation":false,"usgs":true,"family":"van der Wegen","given":"M.","affiliations":[],"preferred":false,"id":494832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":494831,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70112522,"text":"70112522 - 2013 - Changes in surfzone morphodynamics driven by multi-decadal contraction of a large ebb-tidal delta","interactions":[],"lastModifiedDate":"2020-06-05T13:55:39.88378","indexId":"70112522","displayToPublicDate":"2013-11-01T14:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Changes in surfzone morphodynamics driven by multi-decadal contraction of a large ebb-tidal delta","docAbstract":"<p>The impact of multi-decadal, large-scale deflation (76 million m<sup>3</sup> of sediment loss) and contraction (~ 1 km) of a 150 km<sup>2</sup> ebb-tidal delta on hydrodynamics and sediment transport at adjacent Ocean Beach in San Francisco, CA (USA), is examined using a coupled wave and circulation model. The model is forced with representative wave and tidal conditions using recent (2005) and historic (1956) ebb-tidal delta bathymetry data sets. Comparison of the simulations indicates that along north/south trending Ocean Beach the contraction and deflation of the ebb-tidal delta have resulted in significant differences in the flow and sediment dynamics. Between 1956 and 2005 the transverse bar (the shallow attachment point of the ebb-tidal delta to the shoreline) migrated northward ~ 1 km toward the inlet while a persistent alongshore flow and transport divergence point migrated south by ~ 500 m such that these features now overlap. A reduction in tidal prism and sediment supply over the last century has resulted in a net decrease in offshore tidal current-generated sediment transport at the mouth of San Francisco Bay, and a relative increase in onshore-directed wave-driven transport toward the inlet, accounting for the observed contraction of the ebb-tidal delta. Alongshore migration of the transverse bar and alongshore flow divergence have resulted in an increasing proportion of onshore migrating sediment from the ebb-tidal delta to be transported north along the beach in 2005 versus south in 1956. The northerly migrating sediment is then trapped by Pt. Lobos, a rocky headland at the northern extreme of the beach, consistent with the observed shoreline accretion in this area. Conversely, alongshore migration of the transverse bar and divergence point has decreased the sediment supply to southern Ocean Beach, consistent with the observed erosion of the shoreline in this area. This study illustrates the utility of applying a high-resolution coupled circulation-wave model for understanding coastal response to large-scale bathymetric changes over multi-decadal timescales, common to many coastal systems adjacent to urbanized estuaries and watersheds worldwide.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2013.07.005","usgsCitation":"Hansen, J., Elias, E., and Barnard, P., 2013, Changes in surfzone morphodynamics driven by multi-decadal contraction of a large ebb-tidal delta: Marine Geology, v. 345, p. 221-234, https://doi.org/10.1016/j.margeo.2013.07.005.","productDescription":"14 p.","startPage":"221","endPage":"234","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":288647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.2546,37.333 ], [ -123.2546,38.2598 ], [ -121.9279,38.2598 ], [ -121.9279,37.333 ], [ -123.2546,37.333 ] ] ] } } ] }","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7652e4b0abf75cf2bf24","contributors":{"editors":[{"text":"Barnard, P.L.","contributorId":20527,"corporation":false,"usgs":true,"family":"Barnard","given":"P.L.","email":"","affiliations":[],"preferred":false,"id":509886,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jaffe, B.E.","contributorId":112487,"corporation":false,"usgs":true,"family":"Jaffe","given":"B.E.","email":"","affiliations":[],"preferred":false,"id":509888,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Schoellhamer, D. H. 0000-0001-9488-7340","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":85624,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"D. H.","affiliations":[],"preferred":false,"id":509887,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Hansen, Jeff E.","contributorId":60339,"corporation":false,"usgs":true,"family":"Hansen","given":"Jeff E.","affiliations":[],"preferred":false,"id":494830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elias, Edwin","contributorId":50615,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","affiliations":[],"preferred":false,"id":494828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnard, Patrick L.","contributorId":54936,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","affiliations":[],"preferred":false,"id":494829,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048765,"text":"fs20133071 - 2013 - Research on pathogens at Great Lakes beaches: sampling, influential factors, and potential sources","interactions":[],"lastModifiedDate":"2013-11-14T17:36:27","indexId":"fs20133071","displayToPublicDate":"2013-11-01T14:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3071","title":"Research on pathogens at Great Lakes beaches: sampling, influential factors, and potential sources","docAbstract":"The overall mission of this work is to provide science-based information and methods that will allow beach managers to more accurately make beach closure and advisory decisions, understand the sources and physical processes affecting beach contaminants, and understand how science-based information can be used to mitigate and restore beaches and protect the public.\n\nThe U.S. Geological Survey (USGS), in collaboration with many Federal, State, and local agencies and universities, has conducted research on beach health issues in the Great Lakes Region for more than a decade. The work consists of four science elements that align with the USGS Beach Health Initiative Mission: real-time assessments of water quality; coastal processes; pathogens and source tracking; and data analysis, interpretation, and communication. The ongoing or completed research for the pathogens and source tracking topic is described in this fact sheet.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133071","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Research on pathogens at Great Lakes beaches: sampling, influential factors, and potential sources: U.S. Geological Survey Fact Sheet 2013-3071, 4 p., https://doi.org/10.3133/fs20133071.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":278650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133071.gif"},{"id":278646,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3071/pdf/fs2013-3071.pdf"},{"id":278645,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3071/"}],"state":"Michigan;New York;Ohio;Wisconsin","otherGeospatial":"Great Lakes;Lake Erie;Lake Huron;Lake Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.18,41.34 ], [ -88.18,46.53 ], [ -78.73,46.53 ], [ -78.73,41.34 ], [ -88.18,41.34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274c67fe4b089748f071330","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535605,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048764,"text":"fs20133070 - 2013 - Coastal processes influencing water quality at Great Lakes beaches","interactions":[],"lastModifiedDate":"2013-11-14T17:35:04","indexId":"fs20133070","displayToPublicDate":"2013-11-01T14:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3070","title":"Coastal processes influencing water quality at Great Lakes beaches","docAbstract":"In a series of studies along the Great Lakes, U.S. Geological Survey scientists are examining the physical processes that influence concentrations of fecal indicator bacteria and related pathogens at recreational beaches. These studies aim to estimate human health risk, improve management strategies, and understand the fate and transport of microbes in the nearshore area. It was determined that embayed beaches act as traps, accumulating <i>Escherichia coli (E. coli)</i> and other bacteria in the basin and even in beach sand. Further, shear stress and wave run-up could resuspend accumulated bacteria, leading to water-contamination events. These findings are being used to target beach design and circulation projects. In previous research, it was determined that <i>E. coli</i> followed a diurnal pattern, with concentrations decreasing throughout the day, largely owing to solar inactivation, but rebounding overnight. Studies at a Chicago beach identified the impact of wave-induced mass transport on this phenomenon, a finding that will extend our understanding of bacterial fate in the natural environment. In another series of studies, scientists examined the impact of river outfalls on bacteria concentrations, using mechanistic and empirical modeling. Through these studies, the models can indicate range and extent of impact, given <i>E. coli</i> concentration in the source water. These findings have been extended to extended lengths of coastlines and have been applied in beach management using empirical predictive modeling. Together, these studies are helping scientists identify and eliminate threats to human and coastal health.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133070","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Coastal processes influencing water quality at Great Lakes beaches: U.S. Geological Survey Fact Sheet 2013-3070, 4 p., https://doi.org/10.3133/fs20133070.","productDescription":"4 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":278649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133070.gif"},{"id":278647,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3070/pdf/fs2013-3070.pdf"},{"id":278648,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3070/"}],"country":"United States","otherGeospatial":"Great Lakes Beaches","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274c67de4b089748f071324","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535604,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048763,"text":"fs20133069 - 2013 - Real-time assessments of water quality: expanding nowcasting throughout the Great Lakes","interactions":[],"lastModifiedDate":"2013-11-14T17:34:14","indexId":"fs20133069","displayToPublicDate":"2013-11-01T14:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3069","title":"Real-time assessments of water quality: expanding nowcasting throughout the Great Lakes","docAbstract":"Nowcasts are systems that inform the public of current bacterial water-quality conditions at beaches on the basis of predictive models. During 2010–12, the U.S. Geological Survey (USGS) worked with 23 local and State agencies to improve existing operational beach nowcast systems at 4 beaches and expand the use of predictive models in nowcasts at an additional 45 beaches throughout the Great Lakes. The predictive models were specific to each beach, and the best model for each beach was based on a unique combination of environmental and water-quality explanatory variables. The variables used most often in models to predict Escherichia coli (E. coli) concentrations or the probability of exceeding a State recreational water-quality standard included turbidity, day of the year, wave height, wind direction and speed, antecedent rainfall for various time periods, and change in lake level over 24 hours. During validation of 42 beach models during 2012, the models performed better than the current method to assess recreational water quality (previous day's E. coli concentration). The USGS will continue to work with local agencies to improve nowcast predictions, enable technology transfer of predictive model development procedures, and implement more operational systems during 2013 and beyond.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133069","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Real-time assessments of water quality: expanding nowcasting throughout the Great Lakes: U.S. Geological Survey Fact Sheet 2013-3069, 4 p., https://doi.org/10.3133/fs20133069.","productDescription":"4 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":278653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133069.gif"},{"id":278652,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3069/pdf/fs2013-3069.pdf"},{"id":278651,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3069/"}],"country":"United States","otherGeospatial":"The Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274c67fe4b089748f07132d","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535603,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048759,"text":"fs20133068 - 2013 - Tools for beach health data management, data processing, and predictive model implementation","interactions":[],"lastModifiedDate":"2013-11-14T17:33:35","indexId":"fs20133068","displayToPublicDate":"2013-11-01T13:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3068","title":"Tools for beach health data management, data processing, and predictive model implementation","docAbstract":"This fact sheet describes utilities created for management of recreational waters to provide efficient data management, data aggregation, and predictive modeling as well as a prototype geographic information system (GIS)-based tool for data visualization and summary. All of these utilities were developed to assist beach managers in making decisions to protect public health. The Environmental Data Discovery and Transformation (EnDDaT) Web service identifies, compiles, and sorts environmental data from a variety of sources that help to define climatic, hydrologic, and hydrodynamic characteristics including multiple data sources within the U.S. Geological Survey and the National Oceanic and Atmospheric Administration. The Great Lakes Beach Health Database (GLBH-DB) and Web application was designed to provide a flexible input, export, and storage platform for beach water quality and sanitary survey monitoring data to compliment beach monitoring programs within the Great Lakes. A real-time predictive modeling strategy was implemented by combining the capabilities of EnDDaT and the GLBH-DB for timely, automated prediction of beach water quality. The GIS-based tool was developed to map beaches based on their physical and biological characteristics, which was shared with multiple partners to provide concepts and information for future Web-accessible beach data outlets.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133068","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Tools for beach health data management, data processing, and predictive model implementation: U.S. Geological Survey Fact Sheet 2013-3068, 6 p., https://doi.org/10.3133/fs20133068.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":278643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133068.gif"},{"id":278641,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3068/"},{"id":278642,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3068/pdf/fs2013-3068.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274c67fe4b089748f071333","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535602,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}