{"pageNumber":"562","pageRowStart":"14025","pageSize":"25","recordCount":46856,"records":[{"id":70048695,"text":"70048695 - 2013 - Dissolved oxygen fluctuations in karst spring flow and implications for endemic species: Barton Springs, Edwards aquifer, Texas, USA","interactions":[],"lastModifiedDate":"2017-10-12T20:18:05","indexId":"70048695","displayToPublicDate":"2013-11-08T09:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved oxygen fluctuations in karst spring flow and implications for endemic species: Barton Springs, Edwards aquifer, Texas, USA","docAbstract":"Karst aquifers and springs provide the dissolved oxygen critical for survival of endemic stygophiles worldwide, but little is known about fluctuations of dissolved oxygen concentrations (DO) and factors that control those concentrations. We investigated temporal variation in DO at Barton Springs, Austin, Texas, USA. During 2006–2012, DO fluctuated by as much as a factor of 2, and at some periods decreased to concentrations that adversely affect the Barton Springs salamander (Eurycea sorosum) (&le;4.4 mg/L), a federally listed endangered species endemic to Barton Springs. DO was lowest (&le;4.4 mg/L) when discharge was low (&le;1 m<sup>3</sup>/s) and spring water temperature was >21 °C, although not at a maximum; the minimum DO recorded was 4.0 mg/L. Relatively low DO (<6 mg/L) also was measured at relatively high discharge (3.2 m<sup>3</sup>/s) and maximum T (22.2 °C). A four-segment linear regression model with daily data for discharge and spring water temperature as explanatory variables provided an excellent fit for mean daily DO (Nash–Sutcliffe coefficient for the validation period of 0.90). DO also fluctuated at short-term timescales in response to storms, and DO measured at 15-min intervals could be simulated with a combination of discharge, spring temperature, and specific conductance as explanatory variables. On the basis of the daily-data regression model, we hypothesize that more frequent low DO corresponding to salamander mortality could result from (i) lower discharge from Barton Springs resulting from increased groundwater withdrawals or decreased recharge as a result of climate change, and (or) (ii) higher groundwater temperature as a result of climate change.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.10.004","usgsCitation":"Mahler, B., and Bourgeais, R., 2013, Dissolved oxygen fluctuations in karst spring flow and implications for endemic species: Barton Springs, Edwards aquifer, Texas, USA: Journal of Hydrology, v. 505, p. 291-298, https://doi.org/10.1016/j.jhydrol.2013.10.004.","productDescription":"8 p.","startPage":"291","endPage":"298","ipdsId":"IP-043691","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":278958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Barton Springs, Edwards Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.47,29.2 ], [ -100.47,30.76 ], [ -97.57,30.76 ], [ -97.57,29.2 ], [ -100.47,29.2 ] ] ] } } ] }","volume":"505","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527e07e1e4b02d2057dcf0ef","contributors":{"authors":[{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourgeais, Renan","contributorId":13522,"corporation":false,"usgs":true,"family":"Bourgeais","given":"Renan","email":"","affiliations":[],"preferred":false,"id":485450,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200887,"text":"70200887 - 2013 - New seismic data acquired over known gas hydrate occurrences in the deepwater Gulf of Mexico: Fire In the ice","interactions":[],"lastModifiedDate":"2019-09-19T09:38:08","indexId":"70200887","displayToPublicDate":"2013-11-07T13:57:47","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5775,"text":"Methane Hydrate Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"New seismic data acquired over known gas hydrate occurrences in the deepwater Gulf of Mexico: Fire In the ice","docAbstract":"<p>The U.S. Geological Survey (USGS) led seismic acquisition in the Gulf of Mexico from April 18 to May 3, 2013, collecting ocean-bottom seismometer (OBS) and high-resolution 2D data at lease blocks Green Canyon 955 (GC955) and Walker Ridge 313 (WR313). This collaborative effort among the U.S Department of Energy (DOE), the U.S. Bureau of Ocean Energy Management (BOEM) and the USGS was conducted to provide improved imaging and characterization of the known gas hydrate accumulations at these study sites.</p>","language":"English","publisher":"Department of Energy","usgsCitation":"Haines, S.S., Hart, P.E., and Ruppel, C.D., 2013, New seismic data acquired over known gas hydrate occurrences in the deepwater Gulf of Mexico: Fire In the ice: Methane Hydrate Newsletter, v. 13, no. 2, p. 3-6.","productDescription":"4 p.","startPage":"3","endPage":"6","ipdsId":"IP-051399","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":166,"text":"Central Energy Science Center","active":false,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":359382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":359379,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.netl.doe.gov/File%20Library/Research/Oil-Gas/methane%20hydrates/MHNews_2013_October.pdf"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.74560546875,\n              21.759499730719817\n            ],\n            [\n              -82.880859375,\n              21.759499730719817\n            ],\n            [\n              -82.880859375,\n              29.458731185355344\n            ],\n            [\n              -96.74560546875,\n              29.458731185355344\n            ],\n            [\n              -96.74560546875,\n              21.759499730719817\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5be6b2c0e4b0b3fc5cf8cec8","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":751060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751062,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048860,"text":"ofr20131251 - 2013 - Estimation of missing water-level data for the Everglades Depth Estimation Network (EDEN), 2013 update","interactions":[],"lastModifiedDate":"2013-11-14T17:26:26","indexId":"ofr20131251","displayToPublicDate":"2013-11-07T10:19:00","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":"2013-1251","title":"Estimation of missing water-level data for the Everglades Depth Estimation Network (EDEN), 2013 update","docAbstract":"The Everglades Depth Estimation Network is an integrated network of real-time water-level gaging stations, a \nground-elevation model, and a water-surface elevation model \ndesigned to provide scientists, engineers, and water-resource \nmanagers with water-level and water-depth information \n(1991-2013) for the entire freshwater portion of the Greater \nEverglades. The U.S. Geological Survey Greater Everglades \nPriority Ecosystems Science provides support for the Everglades Depth Estimation Network in order for the Network \nto provide quality-assured monitoring data for the U.S. Army \nCorps of Engineers Comprehensive Everglades Restoration \nPlan. In a previous study, water-level estimation equations \nwere developed to fill in missing data to increase the accuracy of the daily water-surface elevation model. During this \nstudy, those equations were updated because of the addition \nand removal of water-level gaging stations, the consistent use \nof water-level data relative to the North American Vertical \nDatum of 1988, and availability of recent data (March 1, 2006, \nto September 30, 2011). Up to three linear regression equations were developed for each station by using three different \ninput stations to minimize the occurrences of missing data \nfor an input station. Of the 667 water-level estimation equations developed to fill missing data at 223 stations, more than \n72 percent of the equations have coefficients of determination \ngreater than 0.90, and 97 percent have coefficients of determination greater than 0.70.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131251","collaboration":"Prepared in cooperation with the U.S. Geological Survey Greater Everglades Priority Ecosystems Science","usgsCitation":"Petkewich, M.D., and Conrads, P., 2013, Estimation of missing water-level data for the Everglades Depth Estimation Network (EDEN), 2013 update: U.S. Geological Survey Open-File Report 2013-1251, iv, 45 p., https://doi.org/10.3133/ofr20131251.","productDescription":"iv, 45 p.","numberOfPages":"49","onlineOnly":"Y","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":278909,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1251/"},{"id":278910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131251.jpg"},{"id":278908,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1251/pdf/of2013-1251.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.8106,25.1872 ], [ -81.8106,26.3864 ], [ -80.0415,26.3864 ], [ -80.0415,25.1872 ], [ -81.8106,25.1872 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cb931e4b0850ea050a8cf","contributors":{"authors":[{"text":"Petkewich, Matthew D. 0000-0002-5749-6356 mdpetkew@usgs.gov","orcid":"https://orcid.org/0000-0002-5749-6356","contributorId":982,"corporation":false,"usgs":true,"family":"Petkewich","given":"Matthew","email":"mdpetkew@usgs.gov","middleInitial":"D.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485756,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"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":70048826,"text":"70048826 - 2013 - Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the HyspIRI mission","interactions":[],"lastModifiedDate":"2021-04-22T19:32:37.892102","indexId":"70048826","displayToPublicDate":"2013-11-07T09:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Hyperspectral <i>versus</i> multispectral crop-productivity modeling and type discrimination for the HyspIRI mission","title":"Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the HyspIRI mission","docAbstract":"<p id=\"sp0005\">Precise monitoring of agricultural crop biomass and yield quantities is critical for crop production management and prediction. The goal of this study was to compare hyperspectral narrowband (HNB)<span>&nbsp;</span><i>versus</i><span>&nbsp;</span>multispectral broadband (MBB) reflectance data in studying irrigated cropland characteristics of five leading world crops (cotton, wheat, maize, rice, and alfalfa) with the objectives of: 1. Modeling crop productivity, and 2. Discriminating crop types. HNB data were obtained from Hyperion hyperspectral imager and field ASD spectroradiometer, and MBB data were obtained from five broadband sensors: Landsat-7 Enhanced Thematic Mapper Plus (ETM&nbsp;+), Advanced Land Imager (ALI), Indian Remote Sensing (IRS), IKONOS, and QuickBird. A large collection of field spectral and biophysical variables were gathered for the 5 crops in Central Asia throughout the growing seasons of 2006 and 2007. Overall, the HNB and hyperspectral vegetation index (HVI) crop biophysical models explained about 25% greater variability when compared with corresponding MBB models. Typically, 3 to 7 HNBs, in multiple linear regression models of a given crop variable, explained more than 93% of variability in crop models. The evaluation of λ<sub>1</sub><span>&nbsp;</span>(400–2500&nbsp;nm)<span>&nbsp;</span><i>versus</i><span>&nbsp;</span>λ<sub>2</sub><span>&nbsp;</span>(400–2500&nbsp;nm) plots of various crop biophysical variables showed that the best two-band normalized difference HVIs involved HNBs centered at: (i) 742&nbsp;nm and 1175&nbsp;nm (HVI742-1175), (ii) 1296&nbsp;nm and 1054&nbsp;nm (HVI1296-1054), (iii) 1225&nbsp;nm and 697&nbsp;nm (HVI1225-697), and (iv) 702&nbsp;nm and 1104&nbsp;nm (HVI702-1104). Among the most frequently occurring HNBs in various crop biophysical models, 74% were located in the 1051–2331&nbsp;nm spectral range, followed by 10% in the moisture sensitive 970&nbsp;nm, 6% in the red and red-edge (630–752&nbsp;nm), and the remaining 10% distributed between blue (400–500&nbsp;nm), green (501–600&nbsp;nm), and NIR (760–900&nbsp;nm).</p><p id=\"sp0010\">Discriminant models, used for discriminating 3 or 4 or 5 crop types, showed significantly higher accuracies when using HNBs (&gt;&nbsp;90%) over MBBs data (varied between 45 and 84%).</p><p id=\"sp0015\">Finally, the study highlighted 29 HNBs of Hyperion that are optimal in the study of agricultural crops and potentially significant to the upcoming NASA HyspIRI mission. Determining optimal and redundant bands for a given application will help overcoming the Hughes' phenomenon (or curse of high dimensionality of data).</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.08.002","usgsCitation":"Mariotto, I., Thenkabail, P.S., Huete, A., Slonecker, E.T., and Platonov, A., 2013, Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the HyspIRI mission: Remote Sensing of Environment, v. 139, p. 291-305, https://doi.org/10.1016/j.rse.2013.08.002.","productDescription":"15 p.","startPage":"291","endPage":"305","ipdsId":"IP-037397","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"links":[{"id":278897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Uzbekistan","otherGeospatial":"Syr Darya River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 68.704655,40.8555 ], [ 68.704655,40.885405 ], [ 68.719804,40.885405 ], [ 68.719804,40.8555 ], [ 68.704655,40.8555 ] ] ] } } ] }","volume":"139","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cb952e4b0850ea050a8d2","contributors":{"authors":[{"text":"Mariotto, Isabella","contributorId":14140,"corporation":false,"usgs":true,"family":"Mariotto","given":"Isabella","email":"","affiliations":[],"preferred":false,"id":485722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":485721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":485724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slonecker, E. Terrence 0000-0002-5793-0503","orcid":"https://orcid.org/0000-0002-5793-0503","contributorId":67175,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.","email":"","middleInitial":"Terrence","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":false,"id":485725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Platonov, Alexander","contributorId":39965,"corporation":false,"usgs":true,"family":"Platonov","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":485723,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"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":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","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":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","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":70048820,"text":"ofr20131264 - 2013 - Principal facts and an approach to collecting gravity data using near-real-time observations in the vicinity of Barstow, California","interactions":[],"lastModifiedDate":"2023-05-26T16:17:56.493053","indexId":"ofr20131264","displayToPublicDate":"2013-11-06T13:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1264","title":"Principal facts and an approach to collecting gravity data using near-real-time observations in the vicinity of Barstow, California","docAbstract":"A gravity survey was done in the vicinity of Barstow, California, in which data were processed and analyzed in the field. The purpose of the data collection was to investigate possible changes in gravity across mapped Quaternary faults and to improve regional gravity coverage, adding to the existing national gravity database. Data were collected, processed, analyzed, and interpreted in the field in order to make decisions about where to collect data for the remainder of the survey. Geological targets in the Barstow area included the Cady Fault, the Manix Fault, and the Yermo Hills. Upon interpreting initial results, additional data were collected to more completely define the fault targets, rather than collecting data to improve the regional gravity coverage in an adjacent area. Both the Manix and Cady Faults showed gravitational expression of the subsurface in the form of steep gravitational gradients that we interpret to represent down-dropped blocks. The gravitational expression of the Cady Fault is on trend with the linear projection of the mapped fault, and the gravitational expression of the Manix Fault is north of the current northernmost mapped strand of the fault. The relative gravitational low over the Yermo Hills was confirmed and better constrained, indicating a significant thickness of sediments at the junction of the Calico, Manix, and Tin Can Alley Faults.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131264","usgsCitation":"Phelps, G., Cronkite-Ratcliff, C., and Klofas, L., 2013, Principal facts and an approach to collecting gravity data using near-real-time observations in the vicinity of Barstow, California: U.S. Geological Survey Open-File Report 2013-1264, iii, 24 p., https://doi.org/10.3133/ofr20131264.","productDescription":"iii, 24 p.","numberOfPages":"27","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":417514,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99271.htm","linkFileType":{"id":5,"text":"html"}},{"id":278887,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131264.jpg"},{"id":278886,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1264/pdf/ofr2013-1264.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":278885,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1264/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","city":"Barstow","otherGeospatial":"Cady Fault, Calico Fault, Manix Fault, Tin Can Alley Fault, Yermo Hills","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.119959,34.698518 ], [ -117.119959,35.280012 ], [ -116.129793,35.280012 ], [ -116.129793,34.698518 ], [ -117.119959,34.698518 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527b650fe4b0a7295d9b55ea","contributors":{"authors":[{"text":"Phelps, G.","contributorId":80171,"corporation":false,"usgs":true,"family":"Phelps","given":"G.","affiliations":[],"preferred":false,"id":485718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronkite-Ratcliff, C.","contributorId":87408,"corporation":false,"usgs":true,"family":"Cronkite-Ratcliff","given":"C.","affiliations":[],"preferred":false,"id":485720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klofas, L.","contributorId":87058,"corporation":false,"usgs":true,"family":"Klofas","given":"L.","email":"","affiliations":[],"preferred":false,"id":485719,"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":"2026-05-20T19:14:11.090723","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":504582,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99273.htm","linkFileType":{"id":5,"text":"html"}},{"id":278870,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/792/"},{"id":278869,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/792/pdf/ds792.pdf"},{"id":278871,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/792/downloads/"},{"id":278872,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds792.gif"}],"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":70048795,"text":"sir20135185 - 2013 - Reconnaissance investigation of the rough diamond resource potential and production capacity of Côte d’Ivoire","interactions":[],"lastModifiedDate":"2018-03-23T14:16:38","indexId":"sir20135185","displayToPublicDate":"2013-11-05T14:07:00","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":"2013-5185","title":"Reconnaissance investigation of the rough diamond resource potential and production capacity of Côte d’Ivoire","docAbstract":"Ethnic and political conflict developed into open civil war in Côte d’Ivoire in 2002, leading to a de facto partitioning of the country into the government-controlled south and the rebel-controlled north. Côte d’Ivoire’s two main diamond mining areas, Séguéla and Tortiya, are located in the north, under what was, until recently, rebel-controlled territory. In an effort to prevent proceeds from diamond mining from funding the conflict, the United Nations (UN) placed an embargo on the export of rough diamonds from Côte d’Ivoire in 2005. That same year, the Kimberley Process (KP), the international initiative charged with stemming the flow of conflict diamonds, acted to enforce this ban by adopting the Moscow Resolution on Côte d’Ivoire, which contained measures to prevent the infiltration of Ivorian diamonds into the legitimate global rough diamond trade. Though under scrutiny by the international community, diamond mining activities continued in Côte d’Ivoire, with artisanal miners exploiting both alluvial deposits in fluvial systems and primary kimberlitic dike deposits. However, because of the embargo, there has been no official record of diamond production since the conflict began in 2002. This lack of production statistics represents a significant data gap and hinders efforts by the KP to understand how illicitly produced diamonds may be entering the legitimate trade.\n\nThis study presents the results of a multiyear effort to monitor the diamond mining activities of Côte d’Ivoire’s two main diamond mining areas, Séguéla and Tortiya. An innovative approach was developed that integrates data acquired from archival reports and maps, high-resolution satellite imagery, and digital terrain modeling to assess the total diamond endowment of the Séguéla and Tortiya deposits and to calculate annual diamond production from 2006 to 2013. On the basis of currently available data, this study estimates that a total of 10,100,000 carats remain in Séguéla and a total of 1,100,000 carats remain in Tortiya. Production capacity was calculated for the two study areas for the years 2006–2010 and 2012–2013. Production capacity was found to range from between 38,000 carats and 375,000 carats in Séguéla and from 13,000 carats and 20,000 carats in Tortiya. Further, this study demonstrates that artisanal mining activities can be successfully monitored by using remote sensing and geologic modeling techniques. The production capacity estimates presented here fill a significant data gap and provide policy makers, the UN, and the KP with important information not otherwise available.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135185","collaboration":"Prepared under the auspices of the U.S. Department of State","usgsCitation":"Chirico, P., and Malpeli, K., 2013, Reconnaissance investigation of the rough diamond resource potential and production capacity of Côte d’Ivoire: U.S. Geological Survey Scientific Investigations Report 2013-5185, vi, 45 p., https://doi.org/10.3133/sir20135185.","productDescription":"vi, 45 p.","numberOfPages":"55","onlineOnly":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":278819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135185.jpg"},{"id":278810,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5185/pdf/sir2013-5185.pdf"},{"id":278809,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5185/"}],"projection":"Geographic Coordinate System","datum":"World Geodetic System 1984 Daturm","country":"Côte d’Ivoire","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -8.6064,4.1642 ], [ -8.6064,10.74 ], [ -2.4878,10.74 ], [ -2.4878,4.1642 ], [ -8.6064,4.1642 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527a1368e4b051792d0148a2","contributors":{"authors":[{"text":"Chirico, Peter G.","contributorId":27086,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter G.","affiliations":[],"preferred":false,"id":485660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malpeli, Katherine C.","contributorId":55106,"corporation":false,"usgs":true,"family":"Malpeli","given":"Katherine C.","affiliations":[],"preferred":false,"id":485661,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"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":70048793,"text":"ofr20131252 - 2013 - Magnetotelluric survey to locate the Archean-Proterozoic suture zone in the northeastern Great Basin, Nevada, Utah, and Idaho","interactions":[],"lastModifiedDate":"2013-11-14T17:59:33","indexId":"ofr20131252","displayToPublicDate":"2013-11-05T13:12:00","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":"2013-1252","title":"Magnetotelluric survey to locate the Archean-Proterozoic suture zone in the northeastern Great Basin, Nevada, Utah, and Idaho","docAbstract":"North-central Nevada contains a large amount of gold in linear belts, the origin of which is not fully understood. During July 2008, September 2009, and August 2010, the U.S. Geological Survey, as part of the Assessment Techniques for Concealed Mineral Resources project, collected twenty-three magnetotelluric soundings along two profiles in Box Elder County, Utah; Elko County, Nevada; and Cassia, Minidoka, and Blaine Counties, Idaho. The main twenty-sounding north-south magnetotelluric profile begins south of Wendover, Nev., but north of the Deep Creek Range. It continues north of Wendover and crosses into Utah, with the north profile terminus in the Snake River Plain, Idaho. A short, three-sounding east-west segment crosses the main north-south profile near the northern terminus of the profile. The magnetotelluric data collected in this study will be used to better constrain the location and strike of the concealed suture zone between the Archean crust and the Paleoproterozoic Mojave province. This report releases the magnetotelluric sounding data that was collected. No interpretation of the data is included.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131252","usgsCitation":"Sampson, J.A., and Rodriguez, B.D., 2013, Magnetotelluric survey to locate the Archean-Proterozoic suture zone in the northeastern Great Basin, Nevada, Utah, and Idaho: U.S. Geological Survey Open-File Report 2013-1252, iv, 195 p., https://doi.org/10.3133/ofr20131252.","productDescription":"iv, 195 p.","numberOfPages":"199","onlineOnly":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":278715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131252.gif"},{"id":278713,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1252/"},{"id":278714,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1252/pdf/of2013-1252.pdf"}],"country":"United States","state":"Idaho;Nevada;Utah","otherGeospatial":"Great Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.64,34.24 ], [ -122.64,43.5 ], [ -111.34,43.5 ], [ -111.34,34.24 ], [ -122.64,34.24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527a1368e4b051792d01489e","contributors":{"authors":[{"text":"Sampson, Jay A.","contributorId":13939,"corporation":false,"usgs":true,"family":"Sampson","given":"Jay","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":485657,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047749,"text":"70047749 - 2013 - North America","interactions":[],"lastModifiedDate":"2022-12-13T16:49:24.214174","indexId":"70047749","displayToPublicDate":"2013-11-05T12:46:16","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"North America","docAbstract":"Plant phenological observations and networks in North America have been largely local and regional in extent until recent decades. In the USA, cloned plant monitoring networks were the exception to this pattern, with data collection spanning the late 1950s until approximately the early 1990s. Animal observation networks, especially for birds have been more extensive. The USA National Phenology Network (USA-NPN), established in the mid-2000s is a recent effort to operate a comprehensive national-scale network in the United States. In Canada, PlantWatch, as part of Nature Watch, is the current national-scale plant phenology program.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Phenology: An integrative environmental science","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-94-007-6925-0_5","usgsCitation":"Schwartz, M., Beaubien, E.G., Crimmins, T., and Weltzin, J., 2013, North America, chap. 5 <i>of</i> Phenology: An integrative environmental science, p. 67-89, https://doi.org/10.1007/978-94-007-6925-0_5.","productDescription":"23 p.","startPage":"67","endPage":"89","ipdsId":"IP-039026","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":284318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"2nd","noUsgsAuthors":false,"publicationDate":"2013-06-11","publicationStatus":"PW","scienceBaseUri":"53cd6930e4b0b290851028dc","contributors":{"editors":[{"text":"Schwartz, Mark D.","contributorId":114143,"corporation":false,"usgs":false,"family":"Schwartz","given":"Mark D.","affiliations":[],"preferred":false,"id":509578,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Schwartz, Mark D.","contributorId":11092,"corporation":false,"usgs":true,"family":"Schwartz","given":"Mark D.","affiliations":[],"preferred":false,"id":482884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaubien, Elisabeth G.","contributorId":45626,"corporation":false,"usgs":true,"family":"Beaubien","given":"Elisabeth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":482885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crimmins, Theresa","contributorId":103579,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","affiliations":[],"preferred":false,"id":482887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":482886,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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":70048789,"text":"ofr20131165 - 2013 - Uniform California earthquake rupture forecast, version 3 (UCERF3): the time-independent model","interactions":[],"lastModifiedDate":"2014-01-14T14:46:38","indexId":"ofr20131165","displayToPublicDate":"2013-11-05T10:36:00","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":"2013-1165","title":"Uniform California earthquake rupture forecast, version 3 (UCERF3): the time-independent model","docAbstract":"In this report we present the time-independent component of the Uniform California Earthquake Rupture Forecast, Version 3 (UCERF3), which provides authoritative estimates of the magnitude, location, and time-averaged frequency of potentially damaging earthquakes in California. The primary achievements have been to relax fault segmentation assumptions and to include multifault ruptures, both limitations of the previous model (UCERF2). The rates of all earthquakes are solved for simultaneously, and from a broader range of data, using a system-level \"grand inversion\" that is both conceptually simple and extensible. The inverse problem is large and underdetermined, so a range of models is sampled using an efficient simulated annealing algorithm. The approach is more derivative than prescriptive (for example, magnitude-frequency distributions are no longer assumed), so new analysis tools were developed for exploring solutions. Epistemic uncertainties were also accounted for using 1,440 alternative logic tree branches, necessitating access to supercomputers. The most influential uncertainties include alternative deformation models (fault slip rates), a new smoothed seismicity algorithm, alternative values for the total rate of M≥5 events, and different scaling relationships, virtually all of which are new. As a notable first, three deformation models are based on kinematically consistent inversions of geodetic and geologic data, also providing slip-rate constraints on faults previously excluded because of lack of geologic data. The grand inversion constitutes a system-level framework for testing hypotheses and balancing the influence of different experts. For example, we demonstrate serious challenges with the Gutenberg-Richter hypothesis for individual faults. UCERF3 is still an approximation of the system, however, and the range of models is limited (for example, constrained to stay close to UCERF2). Nevertheless, UCERF3 removes the apparent UCERF2 overprediction of M6.5–7 earthquake rates and also includes types of multifault ruptures seen in nature. Although UCERF3 fits the data better than UCERF2 overall, there may be areas that warrant further site-specific investigation. Supporting products may be of general interest, and we list key assumptions and avenues for future model improvements.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131165","collaboration":"CGS Special Report 228, Southern California Earthquake Center Publication 1792","usgsCitation":"Field, E.H., Biasi, G.P., Bird, P., Dawson, T.E., Felzer, K., Jackson, D.D., Johnson, K.M., Jordan, T.H., Madden, C., Michael, A.J., Milner, K.R., Page, M.T., Parsons, T., Powers, P.M., Shaw, B., Thatcher, W.R., Weldon, R.J., Zeng, Y., and Working Group on California Earthquake Probabilities, 2013, Uniform California earthquake rupture forecast, version 3 (UCERF3): the time-independent model: U.S. Geological Survey Open-File Report 2013-1165, Report: xvi, 97 p.; Appendixes A-T; Table B1; Earthquake Catalog; 3 Supplemental Materials; Fault Section Data; Pre-inversion Analysis, https://doi.org/10.3133/ofr20131165.","productDescription":"Report: xvi, 97 p.; Appendixes A-T; Table B1; Earthquake Catalog; 3 Supplemental Materials; Fault Section Data; Pre-inversion Analysis","numberOfPages":"115","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":278709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131165.jpg"},{"id":278704,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1165/"},{"id":278705,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1165/pdf/ofr2013-1165.pdf"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.02,30.97 ], [ -125.02,42.98 ], [ -113.49,42.98 ], [ -113.49,30.97 ], [ -125.02,30.97 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527a1368e4b051792d0148a8","contributors":{"authors":[{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":485644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biasi, Glenn P.","contributorId":20436,"corporation":false,"usgs":true,"family":"Biasi","given":"Glenn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":485638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bird, Peter","contributorId":78643,"corporation":false,"usgs":true,"family":"Bird","given":"Peter","affiliations":[],"preferred":false,"id":485648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dawson, Timothy E.","contributorId":24429,"corporation":false,"usgs":false,"family":"Dawson","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":7099,"text":"Calif. Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":485639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Felzer, Karen R.","contributorId":40680,"corporation":false,"usgs":true,"family":"Felzer","given":"Karen R.","affiliations":[],"preferred":false,"id":485641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, David D.","contributorId":94762,"corporation":false,"usgs":true,"family":"Jackson","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":485651,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Kaj M.","contributorId":92526,"corporation":false,"usgs":true,"family":"Johnson","given":"Kaj","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485649,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jordan, Thomas H.","contributorId":75055,"corporation":false,"usgs":true,"family":"Jordan","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":485647,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Madden, Christopher","contributorId":47280,"corporation":false,"usgs":true,"family":"Madden","given":"Christopher","affiliations":[],"preferred":false,"id":485642,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":485633,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Milner, Kevin R.","contributorId":63494,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":485645,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":485636,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Parsons, Thomas 0000-0002-0582-4338","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":26583,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","affiliations":[],"preferred":false,"id":485640,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Powers, Peter M. pmpowers@usgs.gov","contributorId":4434,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":485637,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shaw, Bruce E.","contributorId":93810,"corporation":false,"usgs":true,"family":"Shaw","given":"Bruce E.","affiliations":[],"preferred":false,"id":485650,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Thatcher, Wayne R. 0000-0001-6324-545X thatcher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-545X","contributorId":2599,"corporation":false,"usgs":true,"family":"Thatcher","given":"Wayne","email":"thatcher@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":485635,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Weldon, Ray J. II","contributorId":47859,"corporation":false,"usgs":true,"family":"Weldon","given":"Ray","suffix":"II","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485643,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zeng, Yuehua zeng@usgs.gov","contributorId":1623,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":485634,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Working Group on California Earthquake Probabilities","contributorId":128141,"corporation":true,"usgs":false,"organization":"Working Group on California Earthquake Probabilities","id":535606,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"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":70048772,"text":"fs20133056 - 2013 - The 3D Elevation Program: summary for California","interactions":[],"lastModifiedDate":"2016-08-17T16:03:05","indexId":"fs20133056","displayToPublicDate":"2013-11-04T08:57:00","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":"2013-3056","title":"The 3D Elevation Program: summary for California","docAbstract":"<p><span>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of California, elevation data are critical for infrastructure and construction management; natural resources conservation; flood risk management; wildfire management, planning, and response; agriculture and precision farming; geologic resource assessment and hazard mitigation; and other business uses. Today, high-quality light detection and ranging (lidar) data are the sources for creating elevation models and other elevation datasets. Federal, State, and local agencies work in partnership to (1) replace data, on a national basis, that are (on average) 30 years old and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data. The new 3D Elevation Program (3DEP) initiative, managed by the U.S. Geological Survey (USGS), responds to the growing need for high-quality topographic data and a wide range of other three-dimensional representations of the Nation&rsquo;s natural and constructed features.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133056","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for California: U.S. Geological Survey Fact Sheet 2013-3056, 2 p., https://doi.org/10.3133/fs20133056.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":278674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133056.gif"},{"id":278672,"type":{"id":15,"text":"Index 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5278c216e4b0c04ac3417aa4","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":485603,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","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":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":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","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":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","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":70111902,"text":"70111902 - 2013 - A landscape-based assessment of climate change vulnerability for all native Hawaiian plants","interactions":[],"lastModifiedDate":"2014-07-01T15:05:56","indexId":"70111902","displayToPublicDate":"2013-11-01T14:54:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"TR HCSU-044","title":"A landscape-based assessment of climate change vulnerability for all native Hawaiian plants","docAbstract":"<p>In Hawaiʽi and elsewhere, research efforts have focused on two main approaches to determine the potential impacts of climate change on individual species: estimating species vulnerabilities and projecting responses of species to expected changes. We integrated these approaches by defining vulnerability as the inability of species to exhibit any of the responses necessary for persistence under climate change (i.e., tolerate projected changes, endure in microrefugia, or migrate to new climate-compatible areas, but excluding evolutionary adaptation).</p>\n<br/>\n<p>To operationalize this response-based definition of species vulnerability within a landscape-based analysis, we used current and future climate envelopes for each species to define zones across the landscape: the toleration zone; the microrefugia zone; and the migration zone. Using these response zones we calculated a diverse set of factors related to habitat area, quality, and distribution for each species, including the amount of habitat protection and fragmentation and areas projected to be lost to sea-level rise. We then calculated the probabilities of each species exhibiting these responses using a Bayesian network model and determined the overall climate change vulnerability of each species by using a vulnerability index. As a first iteration of a response-based species vulnerability assessment (VA), our landscape-based analysis effectively integrates species-distribution models into a Bayesian network-based VA that can be updated with improved models and data for more refined analyses in the future.</p>\n<br/>\n<p>Our results show that the species most vulnerable to climate change also tend to be species of conservation concern due to non-climatic threats (e.g., competition and predation from invasive species, land-use change). Also, many of Hawaiʽi’s taxa that are most vulnerable to climate change share characteristics with species that in the past were found to be at risk of extinction due to non-climatic threats (e.g., archipelago endemism, single-island endemism). Of particular concern are the numerous species that have no compatible-climate areas remaining by the year 2100. Species primarily associated with dry forests have higher vulnerability scores than species from any other habitat type. When examined at taxonomic levels above species, low vulnerabilities are concentrated in families and genera of generalists (e.g., ferns or sedges) and typically associated with mid-elevation wet habitats. Our results replicate findings from other regions that link higher species vulnerability with decreasing range size.</p>\n<br/>\n<p>This species VA is possibly the largest in scope ever conducted in the United States with over 1000 species considered, 319 of which are listed as endangered or threatened under the U.S. Endangered Species Act, filling a critical knowledge gap for resource managers in the region. The information in this assessment can help prioritize species for special conservation actions, guide the management of conservation areas, inform the selection of research and monitoring priorities, and support adaptive management planning and implementation.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Hawaii Cooperative Studies Unit Technical Report","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"University of Hawaii","publisherLocation":"Hilo, HI","usgsCitation":"Fortini, L.B., Price, J., Jacobi, J., Vorsino, A., Burgett, J., Brinck, K., Amidon, F., Miller, S., `Ohukani`ohi`a Gon, S., Koob, G., and Paxton, E., 2013, A landscape-based assessment of climate change vulnerability for all native Hawaiian plants, v, 134 p.","productDescription":"v, 134 p.","numberOfPages":"141","ipdsId":"IP-052457","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":289344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288195,"type":{"id":15,"text":"Index Page"},"url":"https://hilo.hawaii.edu/hcsu/publications.php"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -178.31,18.91 ], [ -178.31,28.4 ], [ -154.81,28.4 ], [ -154.81,18.91 ], [ -178.31,18.91 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b3d860e4b07c5f79a7f324","contributors":{"authors":[{"text":"Fortini, Lucas B. 0000-0002-5781-7295 lfortini@usgs.gov","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":4645,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas","email":"lfortini@usgs.gov","middleInitial":"B.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":494521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Price, Jonathan","contributorId":27789,"corporation":false,"usgs":true,"family":"Price","given":"Jonathan","affiliations":[],"preferred":false,"id":494524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacobi, James","contributorId":21073,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","affiliations":[],"preferred":false,"id":494523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vorsino, Adam","contributorId":29740,"corporation":false,"usgs":true,"family":"Vorsino","given":"Adam","affiliations":[],"preferred":false,"id":494525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burgett, Jeff","contributorId":40132,"corporation":false,"usgs":true,"family":"Burgett","given":"Jeff","affiliations":[],"preferred":false,"id":494526,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":3847,"corporation":false,"usgs":true,"family":"Brinck","given":"Kevin W.","email":"kbrinck@usgs.gov","affiliations":[],"preferred":false,"id":494520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Amidon, Fred","contributorId":62934,"corporation":false,"usgs":false,"family":"Amidon","given":"Fred","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":494528,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Steve","contributorId":77461,"corporation":false,"usgs":true,"family":"Miller","given":"Steve","email":"","affiliations":[],"preferred":false,"id":494529,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"`Ohukani`ohi`a Gon, Sam III","contributorId":60961,"corporation":false,"usgs":true,"family":"`Ohukani`ohi`a Gon","given":"Sam","suffix":"III","email":"","affiliations":[],"preferred":false,"id":494527,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koob, Gregory","contributorId":12377,"corporation":false,"usgs":true,"family":"Koob","given":"Gregory","affiliations":[],"preferred":false,"id":494522,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":494519,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"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":70093224,"text":"70093224 - 2013 - Dredging and contaminant exposure to tree swallows nesting on the upper Mississippi River","interactions":[],"lastModifiedDate":"2014-02-05T14:37:17","indexId":"70093224","displayToPublicDate":"2013-11-01T14:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Dredging and contaminant exposure to tree swallows nesting on the upper Mississippi River","docAbstract":"n 2008 and 2009, dredge material from the Mississippi River in Pool 8 south of Brownsville, Minnesota was used to construct nearby islands. Chemical analysis of sediment in 2001 and 2002 in the area to be dredged indicated detectable concentrations of organic and inorganic contaminants. Tree swallows (Tachycineta bicolor), whose diet is mainly aquatic invertebrates, were used to evaluate contaminant exposure in both the dredged and newly created habitat. Organic and inorganic contaminant data were collected from tree swallows in 2007 through 2010 at one study site near the dredging operation, a reference study site upriver from the dredging activity, one study site down river from the dredging activity, and one study site on a newly created island (2009 and 2010 only). Organic and element concentrations were at background levels in all samples. Polychlorinated biphenyl and p,p′-dichlorodiphenyldichloroethylene concentrations in tree swallow nestlings decreased at all study sites over the period 2007 to 2010 including the island study site between 2009 and 2010. Element concentrations in tree swallow livers for the non-island study sites did not show a trend among years in relation to the dredging. Selenium concentrations at the newly created island were higher and cadmium concentrations were lower in 2010 than 2009. Hatching success of eggs in successful nests was not associated with dredging activities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10661-013-3234-z","usgsCitation":"Custer, T.W., Dummer, P.M., Custer, C.M., and Warburton, D., 2013, Dredging and contaminant exposure to tree swallows nesting on the upper Mississippi River: Environmental Monitoring and Assessment, v. 185, no. 11, p. 9043-9053, https://doi.org/10.1007/s10661-013-3234-z.","productDescription":"11 p.","startPage":"9043","endPage":"9053","numberOfPages":"11","ipdsId":"IP-043278","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":282048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282047,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-013-3234-z"}],"country":"United States","state":"Minnesota;Wisconsin","otherGeospatial":"Mississippi River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.45,43.5122 ], [ -92.45,44.5781 ], [ -91.1475,44.5781 ], [ -91.1475,43.5122 ], [ -92.45,43.5122 ] ] ] } } ] }","volume":"185","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-05-11","publicationStatus":"PW","scienceBaseUri":"53cd55d1e4b0b290850f68b7","contributors":{"authors":[{"text":"Custer, Thomas W. 0000-0003-3170-6519 tcuster@usgs.gov","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":2835,"corporation":false,"usgs":true,"family":"Custer","given":"Thomas","email":"tcuster@usgs.gov","middleInitial":"W.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":489989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dummer, Paul M. 0000-0002-2055-9480 pdummer@usgs.gov","orcid":"https://orcid.org/0000-0002-2055-9480","contributorId":3015,"corporation":false,"usgs":true,"family":"Dummer","given":"Paul","email":"pdummer@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":489990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":489988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warburton, David","contributorId":46411,"corporation":false,"usgs":true,"family":"Warburton","given":"David","email":"","affiliations":[],"preferred":false,"id":489991,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041881,"text":"70041881 - 2013 - Identifying the dynamic characteristics of a dual core-wall and frame building in Chile using aftershocks of the 27 February 2010 (M<sub>w</sub>=8.8) Maule, Chile, earthquake","interactions":[],"lastModifiedDate":"2014-01-14T14:35:44","indexId":"70041881","displayToPublicDate":"2013-11-01T14:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Identifying the dynamic characteristics of a dual core-wall and frame building in Chile using aftershocks of the 27 February 2010 (M<sub>w</sub>=8.8) Maule, Chile, earthquake","docAbstract":"Following the 27 February 2010 (M<sub>w</sub> = 8.8) Offshore Maule, Chile earthquake, a temporary, 16-channel, real-time data streaming array was installed in a recently constructed building in Viña del Mar to capture its responses to aftershocks. The cast-in-place, reinforced concrete building is 16 stories high, with 3 additional basement levels, and has dual system comprising multiple structural walls and perimeter frames. This building was not damaged during the main-shock, but other buildings of similar design in Viña del Mar and other parts of Chile were damaged, although none collapsed. Dynamic characteristics of the building identified from the low-amplitude (PGA of about 2 Gal) response recordings of aftershocks are found to compare well with those determined from modal analyses using a design level FEM model. Distinct “major-axes” translational and torsional fundamental frequencies, as well as frequencies of secondary modes, are identified. Evidence of beating is consistently observed in the response data for each earthquake. Results do not match well with U.S. code formulas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/011812EQS012M","usgsCitation":"Çelebi, M., Sereci, M., Boroschek, R., Carreno, R., and Bonelli, P., 2013, Identifying the dynamic characteristics of a dual core-wall and frame building in Chile using aftershocks of the 27 February 2010 (M<sub>w</sub>=8.8) Maule, Chile, earthquake: Earthquake Spectra, v. 29, no. 4, p. 1233-1254, https://doi.org/10.1193/011812EQS012M.","productDescription":"22 p.","startPage":"1233","endPage":"1254","numberOfPages":"22","ipdsId":"IP-028467","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":281042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281041,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/011812EQS012M"}],"country":"Chile","state":"Talca Province","city":"Maule","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.7899,-36.5457 ], [ -72.7899,-34.7119 ], [ -70.326,-34.7119 ], [ -70.326,-36.5457 ], [ -72.7899,-36.5457 ] ] ] } } ] }","volume":"29","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-11-01","publicationStatus":"PW","scienceBaseUri":"53cd61fce4b0b290850fde02","contributors":{"authors":[{"text":"Çelebi, Mehmet","contributorId":27493,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","affiliations":[],"preferred":false,"id":470289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sereci, Mark","contributorId":92969,"corporation":false,"usgs":true,"family":"Sereci","given":"Mark","email":"","affiliations":[],"preferred":false,"id":470291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boroschek, Ruben","contributorId":32826,"corporation":false,"usgs":true,"family":"Boroschek","given":"Ruben","email":"","affiliations":[],"preferred":false,"id":470290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carreno, Rodrigo","contributorId":21460,"corporation":false,"usgs":true,"family":"Carreno","given":"Rodrigo","email":"","affiliations":[],"preferred":false,"id":470288,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonelli, Patricio","contributorId":14731,"corporation":false,"usgs":true,"family":"Bonelli","given":"Patricio","email":"","affiliations":[],"preferred":false,"id":470287,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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