{"pageNumber":"638","pageRowStart":"15925","pageSize":"25","recordCount":46883,"records":[{"id":70038357,"text":"ds652 - 2012 - Archive of digital boomer seismic reflection data collected offshore east-central Florida during USGS cruises 96FGS01 and 97FGS01 in November of 1996 and May of 1997","interactions":[],"lastModifiedDate":"2012-05-15T01:01:40","indexId":"ds652","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","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":"652","title":"Archive of digital boomer seismic reflection data collected offshore east-central Florida during USGS cruises 96FGS01 and 97FGS01 in November of 1996 and May of 1997","docAbstract":"This Digital Versatile Disc (DVD) publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds652","usgsCitation":"Subino, J.A., Forde, A.S., Dadisman, S.V., Wiese, D.S., and Calderon, K., 2012, Archive of digital boomer seismic reflection data collected offshore east-central Florida during USGS cruises 96FGS01 and 97FGS01 in November of 1996 and May of 1997: U.S. Geological Survey Data Series 652, HTML Document; DVD, https://doi.org/10.3133/ds652.","productDescription":"HTML Document; DVD","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":254759,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_652.bmp"},{"id":254757,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/652/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed48e4b0c8380cd496fc","contributors":{"authors":[{"text":"Subino, Janice A.","contributorId":50386,"corporation":false,"usgs":true,"family":"Subino","given":"Janice","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":463950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463951,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calderon, Karynna","contributorId":92739,"corporation":false,"usgs":true,"family":"Calderon","given":"Karynna","email":"","affiliations":[],"preferred":false,"id":463953,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70038362,"text":"ofr20121084 - 2012 - National assessment of hurricane-induced coastal erosion hazards--Gulf of Mexico","interactions":[],"lastModifiedDate":"2017-07-05T10:51:06","indexId":"ofr20121084","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1084","title":"National assessment of hurricane-induced coastal erosion hazards--Gulf of Mexico","docAbstract":"Sandy beaches provide a natural barrier between the ocean and inland communities, ecosystems, and resources. However, these dynamic environments move and change in response to winds, waves, and currents. During a hurricane, these changes can be large and sometimes catastrophic. High waves and storm surge act together to erode beaches and inundate low-lying lands, putting inland communities at risk. A decade of USGS research on storm-driven coastal change hazards has provided the data and modeling capabilities to identify areas of our coastline that are likely to experience extreme and potentially hazardous erosion during a hurricane. This report defines hurricane-induced coastal erosion hazards for sandy beaches along the U.S. Gulf of Mexico coastline. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. As new beach morphology observations and storm predictions become available, this analysis will be updated to describe how coastal vulnerability to storms will vary in the future.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121084","usgsCitation":"Stockdon, H.F., Doran, K., Thompson, D.M., Sopkin, K.L., Plant, N.G., and Sallenger, A., 2012, National assessment of hurricane-induced coastal erosion hazards--Gulf of Mexico: U.S. Geological Survey Open-File Report 2012-1084, vii, 49 p.; Tables; Spatial Datasets; Metadata, https://doi.org/10.3133/ofr20121084.","productDescription":"vii, 49 p.; Tables; Spatial Datasets; Metadata","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":438815,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N01XLQ","text":"USGS data release","linkHelpText":"National Assessment of Hurricane-Induced Coastal Erosion Hazards: Puerto Rico"},{"id":438814,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99ILAB9","text":"USGS data release","linkHelpText":"National Assessment of Hurricane-Induced Coastal Erosion Hazards"},{"id":438813,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GF0S0Z","text":"USGS data release","linkHelpText":"Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines"},{"id":343302,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1084/pdf/ofr2012-1084.pdf","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":254768,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1084.jpg"},{"id":254763,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1084/","linkFileType":{"id":5,"text":"html"}},{"id":343303,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://olga.er.usgs.gov/data/NACCH/GOM_erosion_hazards.zip","text":"Gulf of Mexico Coastal Erosion Hazards Dataset","size":"325 KB","linkFileType":{"id":6,"text":"zip"}},{"id":343304,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7QC01KZ","text":"National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico Update"}],"otherGeospatial":"Gulf Of Mexico","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a625de4b0c8380cd71e98","contributors":{"authors":[{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doran, Kara S. 0000-0001-8050-5727 kdoran@usgs.gov","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":2496,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","email":"kdoran@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":463963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sopkin, Kristin L. ksopkin@usgs.gov","contributorId":4437,"corporation":false,"usgs":true,"family":"Sopkin","given":"Kristin","email":"ksopkin@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":463966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":463965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sallenger, Asbury H. Jr.","contributorId":27458,"corporation":false,"usgs":true,"family":"Sallenger","given":"Asbury H.","suffix":"Jr.","affiliations":[],"preferred":false,"id":463967,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70038363,"text":"sir20115229 - 2012 - Water-quality assessment of the Cambrian-Ordovician aquifer system in the northern Midwest, United States","interactions":[],"lastModifiedDate":"2012-05-15T01:01:40","indexId":"sir20115229","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","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":"2011-5229","title":"Water-quality assessment of the Cambrian-Ordovician aquifer system in the northern Midwest, United States","docAbstract":"This report provides a regional assessment of groundwater quality of the Cambrian-Ordovician aquifer system, based primarily on raw water samples collected by the NAWQA Program during 1995 through 2007. The NAWQA Program has published findings in local study-unit reports encompassing parts of the Cambrian-Ordovician aquifer system. Data collected from the aquifer system were used in national synthesis reports on selected topics such as specific water-quality constituent classes, well type, or aquifer material; however, a synthesis of groundwater quality at the principal aquifer scale has not been completed and is therefore the major purpose of this report. Water samples collected by the NAWQA Program were analyzed for various classes of characteristics including physical properties, major ions, trace elements, nutrients and dissolved organic carbon, radionuclides (tritium, radon, and radium), pesticides, and volatile organic compounds. Subsequent sections of this report provide discussions on these classes of characteristics. The assessment objectives of this report are to (1) summarize constituent concentrations and compare them to human-health benchmarks and non-health guidelines; (2) determine the geographic distribution of constituent concentrations and relate them to various factors such as confining conditions, well type, land use, and groundwater age; and (3) evaluate near-decadal-scale changes in nitrate concentrations and pesticide detections. The most recent sample collected from each well by the NAWQA Program was used for most analyses. Near-decadal-scale changes in nitrate concentrations and pesticide detections were evaluated for selected well networks by using the most recent sample from each well and comparing it to the results from a sample collected 7 or 11 years earlier. Because some of the NAWQA well networks provide a limited areal coverage of the aquifer system, data for raw water samples from other USGS sources and state agencies were included to expand the data coverage into areas between the NAWQA well networks and into northeastern Missouri. Many of the maps in this report that show concentrations of selected constituents include data from other sources to expand on the geographic area covered by the NAWQA data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115229","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Wilson, J.T., 2012, Water-quality assessment of the Cambrian-Ordovician aquifer system in the northern Midwest, United States: U.S. Geological Survey Scientific Investigations Report 2011-5229, xvi, 129 p.; Appendices; Maps ; PDF Download of Appendix 1; PDF Download of Appendix 3, https://doi.org/10.3133/sir20115229.","productDescription":"xvi, 129 p.; Appendices; Maps ; PDF Download of Appendix 1; PDF Download of Appendix 3","startPage":"i","endPage":"154","numberOfPages":"170","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":254770,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5229.gif"},{"id":254764,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5229/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Midwest;Cambrian-ordovician Aquifer System","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcdafe4b08c986b32e0a6","contributors":{"authors":[{"text":"Wilson, John T. 0000-0001-6752-4069 jtwilson@usgs.gov","orcid":"https://orcid.org/0000-0001-6752-4069","contributorId":1954,"corporation":false,"usgs":true,"family":"Wilson","given":"John","email":"jtwilson@usgs.gov","middleInitial":"T.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":463968,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70007255,"text":"70007255 - 2012 - Limitations and potential of satellite imagery to monitor environmental response to coastal flooding","interactions":[],"lastModifiedDate":"2017-04-06T14:37:14","indexId":"70007255","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Limitations and potential of satellite imagery to monitor environmental response to coastal flooding","docAbstract":"Storm-surge flooding and marsh response throughout the coastal wetlands of Louisiana were mapped using several types of remote sensing data collected before and after Hurricanes Gustav and Ike in 2008. These included synthetic aperture radar (SAR) data obtained from the (1) C-band advance SAR (ASAR) aboard the Environmental Satellite, (2) phased-array type L-band SAR (PALSAR) aboard the Advanced Land Observing Satellite, and (3) optical data obtained from Thematic Mapper (TM) sensor aboard the Land Satellite (Landsat). In estuarine marshes, L-band SAR and C-band ASAR provided accurate flood extent information when depths averaged at least 80 cm, but only L-band SAR provided consistent subcanopy detection when depths averaged 50 cm or less. Low performance of inundation mapping based on C-band ASAR was attributed to an apparent inundation detection limit (>30 cm deep) in tall Spartina alterniflora marshes, a possible canopy collapse of shoreline fresh marsh exposed to repeated storm-surge inundations, wind-roughened water surfaces where water levels reached marsh canopy heights, and relatively high backscatter in the near-range portion of the SAR imagery. A TM-based vegetation index of live biomass indicated that the severity of marsh dieback was linked to differences in dominant species. The severest impacts were not necessarily caused by longer inundation but rather could be caused by repeated exposure of the palustrine marsh to elevated salinity floodwaters. Differential impacts occurred in estuarine marshes. The more brackish marshes on average suffered higher impacts than the more saline marshes, particularly the nearshore coastal marshes occupied by S. alterniflora.","language":"English","publisher":"Coastal Education and Research Foundation","publisherLocation":"West Palm Beach, FL","doi":"10.2112/JCOASTRES-D-11-00052.1","usgsCitation":"Ramsey, E., Werle, D., Suzuoki, Y., Rangoonwala, A., and Lu, Z., 2012, Limitations and potential of satellite imagery to monitor environmental response to coastal flooding: Journal of Coastal Research, v. 28, no. 2, p. 457-476, https://doi.org/10.2112/JCOASTRES-D-11-00052.1.","productDescription":"20 p.","startPage":"457","endPage":"476","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":254772,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254765,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/JCOASTRES-D-11-00052.1","linkFileType":{"id":5,"text":"html"}}],"volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4788e4b0c8380cd678b3","contributors":{"authors":[{"text":"Ramsey, Elijah W. 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Fluorescence spectroscopy methods can quantify and characterize the subset of the DOC pool that can absorb and re-emit electromagnetic energy as fluorescence and thus provide a rapid technique for environmental monitoring of DOC in lakes and rivers. Using high resolution fluorescence techniques, we characterized DOC in the Tualatin River watershed near Portland, Oregon, and identified fluorescence parameters associated with effluent from two wastewater treatment plants and samples from sites within and outside the urban region. Using a variety of statistical approaches, we developed and validated a multivariate linear regression model to predict the amount of wastewater in the river as a function of the relative abundance of specific fluorescence excitation/emission pairs. The model was tested with independent data and predicts the percentage of wastewater in a sample within 80% confidence. Model results can be used to develop in situ instrumentation, inform monitoring programs, and develop additional water quality indicators for aquatic systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es2041114","usgsCitation":"Goldman, J.H., Rounds, S.A., and Needoba, J.A., 2012, Applications of fluorescence spectroscopy for predicting percent wastewater in an urban stream: Environmental Science & Technology, v. 46, no. 8, p. 4374-4381, https://doi.org/10.1021/es2041114.","productDescription":"8 p.","startPage":"4374","endPage":"4381","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":254746,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254738,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es2041114","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Tualatin River","volume":"46","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-04-03","publicationStatus":"PW","scienceBaseUri":"5059ecc7e4b0c8380cd4949b","contributors":{"authors":[{"text":"Goldman, Jami H. 0000-0001-5466-912X jgoldman@usgs.gov","orcid":"https://orcid.org/0000-0001-5466-912X","contributorId":4848,"corporation":false,"usgs":true,"family":"Goldman","given":"Jami","email":"jgoldman@usgs.gov","middleInitial":"H.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Needoba, Joseph A.","contributorId":92089,"corporation":false,"usgs":true,"family":"Needoba","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463145,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038352,"text":"ofr20121042 - 2012 - Sediment characteristics of the Yellowstone River in the vicinity of a proposed bypass chute near Glendive, Montana, 2011","interactions":[],"lastModifiedDate":"2017-10-14T11:30:15","indexId":"ofr20121042","displayToPublicDate":"2012-05-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1042","title":"Sediment characteristics of the Yellowstone River in the vicinity of a proposed bypass chute near Glendive, Montana, 2011","docAbstract":"In 2011, sediment data were collected by the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers on the Yellowstone River at the location of a proposed bypass chute. The sediment data were collected to provide an understanding of the sediment dynamics of the given reach of the Yellowstone River. Suspended-sediment concentrations collected at the three sites generally decreased with decreasing streamflow. In general, the highest suspendedsediment concentrations were found near the channel bed and towards the center of the channel with lower suspendedsediment concentrations near the channel banks and water surface. Suspended sediment was the primary component of the total sediment load for all three sampling locations on the Yellowstone River and contributed at least 98 percent of the total sediment load at each of the three sites. The amount of bedload measured at the three sites was a smaller load in comparison with the suspended-sediment load.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121042","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Hanson, B.R., 2012, Sediment characteristics of the Yellowstone River in the vicinity of a proposed bypass chute near Glendive, Montana, 2011: U.S. Geological Survey Open-File Report 2012-1042, v, 19 p., https://doi.org/10.3133/ofr20121042.","productDescription":"v, 19 p.","startPage":"i","endPage":"19","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":254734,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1042.gif"},{"id":254728,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1042/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","city":"Glendive","otherGeospatial":"Yellowstone River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8960e4b08c986b316db7","contributors":{"authors":[{"text":"Hanson, Brent R. brhanson@usgs.gov","contributorId":4836,"corporation":false,"usgs":true,"family":"Hanson","given":"Brent","email":"brhanson@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":463932,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038355,"text":"ofr20121081 - 2012 - Evidence for mid-Holocene shift in depositional style in Mobile Bay, Alabama","interactions":[],"lastModifiedDate":"2012-05-12T01:01:38","indexId":"ofr20121081","displayToPublicDate":"2012-05-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1081","title":"Evidence for mid-Holocene shift in depositional style in Mobile Bay, Alabama","docAbstract":"The Holocene stratigraphy of Mobile Bay, Alabama, was mapped using a combination of high-resolution seismic data and sediment cores to refine changes in the bay's evolution during this time. The base of the Holocene-era stratigraphy is an erosional surface formed during the last glacial maximum. Overlying Holocene deposits are primarily estuarine mud that has a finely laminated weak acoustic signature. One exception is a thin unit, R1, with varying reflection amplitude that can be traced throughout the southern part of the bay. The continuity of the unit throughout the southern part of the bay suggests a baywide change in sedimentation that was perhaps driven by rapid retreat of the bay-head delta in response to a sudden rise in sea level or an abrupt change in accommodation space due to basin geometry. Along the southern edge of the bay, the R1 unit increases in thickness and reflector amplitude towards Morgan Peninsula. The peninsula itself underwent a period of erosion and narrowing between 4,300 to 3,000 years before present, and the variation in reflector amplitude and the geometry of this part of the R1 unit appear to reflect a period of increased overwashing of the peninsula during this period. Average estuarine sedimentation rates decreased after the formation of the R1 unit, and the decrease coincides with a decline in the rate of sea-level rise. A similar change in depositional style at approximately the same time in neighboring Apalachicola Bay suggests a change that affected the northeastern Gulf of Mexico region and not just Mobile Bay.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121081","usgsCitation":"Twichell, D., Kelso, K., and Pendleton, E., 2012, Evidence for mid-Holocene shift in depositional style in Mobile Bay, Alabama: U.S. Geological Survey Open-File Report 2012-1081, iv, 8 p.; Figures, https://doi.org/10.3133/ofr20121081.","productDescription":"iv, 8 p.; Figures","startPage":"i","endPage":"18","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":254733,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1081.gif"},{"id":254731,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1081/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d4ae4b0c8380cd52f1a","contributors":{"authors":[{"text":"Twichell, David","contributorId":15871,"corporation":false,"usgs":true,"family":"Twichell","given":"David","affiliations":[],"preferred":false,"id":463947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelso, Kyle","contributorId":68017,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","affiliations":[],"preferred":false,"id":463948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pendleton, Elizabeth A. ependleton@usgs.gov","contributorId":2863,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth A.","email":"ependleton@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":463946,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038353,"text":"sir20125025 - 2012 - Mapping surface disturbance of energy-related infrastructure in southwest Wyoming--An assessment of methods","interactions":[],"lastModifiedDate":"2017-12-27T15:03:56","indexId":"sir20125025","displayToPublicDate":"2012-05-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5025","title":"Mapping surface disturbance of energy-related infrastructure in southwest Wyoming--An assessment of methods","docAbstract":"We evaluated how well three leading information-extraction software programs (eCognition, Feature Analyst, Feature Extraction) and manual hand digitization interpreted information from remotely sensed imagery of a visually complex gas field in Wyoming. Specifically, we compared how each mapped the area of and classified the disturbance features present on each of three remotely sensed images, including 30-meter-resolution Landsat, 10-meter-resolution SPOT (Satellite Pour l'Observation de la Terre), and 0.6-meter resolution pan-sharpened QuickBird scenes. Feature Extraction mapped the spatial area of disturbance features most accurately on the Landsat and QuickBird imagery, while hand digitization was most accurate on the SPOT imagery. Footprint non-overlap error was smallest on the Feature Analyst map of the Landsat imagery, the hand digitization map of the SPOT imagery, and the Feature Extraction map of the QuickBird imagery. When evaluating feature classification success against a set of ground-truthed control points, Feature Analyst, Feature Extraction, and hand digitization classified features with similar success on the QuickBird and SPOT imagery, while eCognition classified features poorly relative to the other methods. All maps derived from Landsat imagery classified disturbance features poorly. Using the hand digitized QuickBird data as a reference and making pixel-by-pixel comparisons, Feature Extraction classified features best overall on the QuickBird imagery, and Feature Analyst classified features best overall on the SPOT and Landsat imagery. Based on the entire suite of tasks we evaluated, Feature Extraction performed best overall on the Landsat and QuickBird imagery, while hand digitization performed best overall on the SPOT imagery, and eCognition performed worst overall on all three images. Error rates for both area measurements and feature classification were prohibitively high on Landsat imagery, while QuickBird was time and cost prohibitive for mapping large spatial extents. The SPOT imagery produced map products that were far more accurate than Landsat and did so at a far lower cost than QuickBird imagery. Consideration of degree of map accuracy required, costs associated with image acquisition, software, operator and computation time, and tradeoffs in the form of spatial extent versus resolution should all be considered when evaluating which combination of imagery and information-extraction method might best serve any given land use mapping project. When resources permit, attaining imagery that supports the highest classification and measurement accuracy possible is recommended.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125025","usgsCitation":"Germaine, S., O’Donnell, M.S., Aldridge, C.L., Baer, L., Fancher, T.S., McBeth, J., McDougal, R., Waltermire, R., Bowen, Z.H., Diffendorfer, J., Garman, S., and Hanson, L., 2012, Mapping surface disturbance of energy-related infrastructure in southwest Wyoming--An assessment of methods: U.S. Geological Survey Scientific Investigations Report 2012-5025, iv, 42 p., https://doi.org/10.3133/sir20125025.","productDescription":"iv, 42 p.","startPage":"i","endPage":"42","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science 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odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":3351,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":463935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":463940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baer, 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R.","affiliations":[],"preferred":false,"id":463941,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waltermire, Robert","contributorId":18644,"corporation":false,"usgs":true,"family":"Waltermire","given":"Robert","affiliations":[],"preferred":false,"id":463937,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":463933,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Diffendorfer, James","contributorId":35610,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","affiliations":[],"preferred":false,"id":463938,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Garman, Steven","contributorId":105981,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","affiliations":[],"preferred":false,"id":463944,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hanson, Leanne hansonl@usgs.gov","contributorId":3231,"corporation":false,"usgs":true,"family":"Hanson","given":"Leanne","email":"hansonl@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":463934,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70003968,"text":"70003968 - 2012 - A global earthquake discrimination scheme to optimize ground-motion prediction equation selection","interactions":[],"lastModifiedDate":"2012-05-12T01:01:38","indexId":"70003968","displayToPublicDate":"2012-05-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A global earthquake discrimination scheme to optimize ground-motion prediction equation selection","docAbstract":"We present a new automatic earthquake discrimination procedure to determine in near-real time the tectonic regime and seismotectonic domain of an earthquake, its most likely source type, and the corresponding ground-motion prediction equation (GMPE) class to be used in the U.S. Geological Survey (USGS) Global ShakeMap system. This method makes use of the Flinn–Engdahl regionalization scheme, seismotectonic information (plate boundaries, global geology, seismicity catalogs, and regional and local studies), and the source parameters available from the USGS National Earthquake Information Center in the minutes following an earthquake to give the best estimation of the setting and mechanism of the event. Depending on the tectonic setting, additional criteria based on hypocentral depth, style of faulting, and regional seismicity may be applied. For subduction zones, these criteria include the use of focal mechanism information and detailed interface models to discriminate among outer-rise, upper-plate, interface, and intraslab seismicity. The scheme is validated against a large database of recent historical earthquakes. Though developed to assess GMPE selection in Global ShakeMap operations, we anticipate a variety of uses for this strategy, from real-time processing systems to any analysis involving tectonic classification of sources from seismic catalogs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"Albany, CA","doi":"10.1785/0120110124","usgsCitation":"Garcia, D., Wald, D.J., and Hearne, M., 2012, A global earthquake discrimination scheme to optimize ground-motion prediction equation selection: Bulletin of the Seismological Society of America, v. 102, no. 1, p. 185-203, https://doi.org/10.1785/0120110124.","productDescription":"19 p.","startPage":"185","endPage":"203","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":254745,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254742,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110124","linkFileType":{"id":5,"text":"html"}}],"volume":"102","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-02-15","publicationStatus":"PW","scienceBaseUri":"5059e409e4b0c8380cd46383","contributors":{"authors":[{"text":"Garcia, Daniel","contributorId":80559,"corporation":false,"usgs":true,"family":"Garcia","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":349781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":349780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hearne, Michael","contributorId":91377,"corporation":false,"usgs":true,"family":"Hearne","given":"Michael","affiliations":[],"preferred":false,"id":349782,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70009639,"text":"70009639 - 2012 - Evidence for population bottlenecks and subtle genetic structure in the yellow rail","interactions":[],"lastModifiedDate":"2012-05-12T01:01:38","indexId":"70009639","displayToPublicDate":"2012-05-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for population bottlenecks and subtle genetic structure in the yellow rail","docAbstract":"The Yellow Rail (Coturnicops noveboracencis) is among the most enigmatic and least studied North American birds. Nesting exclusively in marshes and wetlands, it breeds largely east of the Rocky Mountains in the northern United States and Canada, but there is an isolated population in southern Oregon once believed extirpated. The degree of connectivity of the Oregon population with the main population is unknown. We used mitochondrial DNA sequences (mtDNA) and six microsatellite loci to characterize the Yellow Rail's genetic structure and diversity patterns in six areas. Our mtDNA-based analyses of genetic structure identified significant population differentiation, but pairwise comparison of regions identified no clear geographic trends. In contrast, microsatellites suggested subtle genetic structure differentiating the Oregon population from those in the five regions sampled in the Yellow Rail's main breeding range. The genetic diversity of the Oregon population was also the lowest of the six regions sampled, and Oregon was one of three regions that demonstrated evidence of recent population bottlenecks. Factors that produced population reductions may include loss of wetlands to development and agricultural conversion, drought, and wildfire. At this time, we are unable to determine if the high percentage (50%) of populations having experienced bottlenecks is representative of the Yellow Rail's entire range. Further genetic data from additional breeding populations will be required for this issue to be addressed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","publisherLocation":"Waco, TX","doi":"10.1525/cond.2012.110055","usgsCitation":"Popper, K.J., Miller, L.F., Green, M., Haig, S.M., and Mullins, T.D., 2012, Evidence for population bottlenecks and subtle genetic structure in the yellow rail: The Condor, v. 114, no. 1, p. 100-112, https://doi.org/10.1525/cond.2012.110055.","productDescription":"13 p.","startPage":"100","endPage":"112","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":474508,"rank":10001,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2012.110055","text":"Publisher Index Page"},{"id":438817,"rank":10000,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KBUXFT","text":"USGS data release","linkHelpText":"Nuclear microsatellite genotypes of six populations of yellow rail (Coturnicops noveboracensis) sampled 2005-2008"},{"id":254744,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2012.110055","linkFileType":{"id":5,"text":"html"}},{"id":254750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"114","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d4de4b0c8380cd52f2d","contributors":{"authors":[{"text":"Popper, Kenneth J.","contributorId":56114,"corporation":false,"usgs":true,"family":"Popper","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":356803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Leonard F.","contributorId":15898,"corporation":false,"usgs":true,"family":"Miller","given":"Leonard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":356802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Michael","contributorId":71066,"corporation":false,"usgs":true,"family":"Green","given":"Michael","affiliations":[],"preferred":false,"id":356804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":356800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mullins, Thomas D. 0000-0001-8948-9604 tom_mullins@usgs.gov","orcid":"https://orcid.org/0000-0001-8948-9604","contributorId":3615,"corporation":false,"usgs":true,"family":"Mullins","given":"Thomas","email":"tom_mullins@usgs.gov","middleInitial":"D.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":356801,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70038349,"text":"sir20125074 - 2012 - Development and implementation of a regression model for predicting recreational water quality in the Cuyahoga River, Cuyahoga Valley National Park, Ohio 2009-11","interactions":[],"lastModifiedDate":"2012-05-11T01:01:41","indexId":"sir20125074","displayToPublicDate":"2012-05-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5074","title":"Development and implementation of a regression model for predicting recreational water quality in the Cuyahoga River, Cuyahoga Valley National Park, Ohio 2009-11","docAbstract":"The Cuyahoga River within Cuyahoga Valley National Park (CVNP) is at times impaired for recreational use due to elevated concentrations of Escherichia coli (E. coli), a fecal-indicator bacterium. During the recreational seasons of mid-May through September during 2009–11, samples were collected 4 days per week and analyzed for E. coli concentrations at two sites within CVNP. Other water-quality and environ-mental data, including turbidity, rainfall, and streamflow, were measured and (or) tabulated for analysis. Regression models developed to predict recreational water quality in the river were implemented during the recreational seasons of 2009–11 for one site within CVNP–Jaite. For the 2009 and 2010 seasons, the regression models were better at predicting exceedances of Ohio's single-sample standard for primary-contact recreation compared to the traditional method of using the previous day's E. coli concentration. During 2009, the regression model was based on data collected during 2005 through 2008, excluding available 2004 data. The resulting model for 2009 did not perform as well as expected (based on the calibration data set) and tended to overestimate concentrations (correct responses at 69 percent). During 2010, the regression model was based on data collected during 2004 through 2009, including all of the available data. The 2010 model performed well, correctly predicting 89 percent of the samples above or below the single-sample standard, even though the predictions tended to be lower than actual sample concentrations. During 2011, the regression model was based on data collected during 2004 through 2010 and tended to overestimate concentrations. The 2011 model did not perform as well as the traditional method or as expected, based on the calibration dataset (correct responses at 56 percent). At a second site—Lock 29, approximately 5 river miles upstream from Jaite, a regression model based on data collected at the site during the recreational seasons of 2008–10 also did not perform as well as the traditional method or as well as expected (correct responses at 60 percent). Above normal precipitation in the region and a delayed start to the 2011 sampling season (sampling began mid-June) may have affected how well the 2011 models performed. With these new data, however, updated regression models may be better able to predict recreational water quality conditions due to the increased amount of diverse water quality conditions included in the calibration data. Daily recreational water-quality predictions for Jaite were made available on the Ohio Nowcast Web site at www.ohionowcast.info. Other public outreach included signage at trailheads in the park, articles in the park's quarterly-published schedule of events and volunteer newsletters. A U.S. Geological Survey Fact Sheet was also published to bring attention to water-quality issues in the park.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125074","usgsCitation":"Brady, A., and Plona, M.B., 2012, Development and implementation of a regression model for predicting recreational water quality in the Cuyahoga River, Cuyahoga Valley National Park, Ohio 2009-11: U.S. Geological Survey Scientific Investigations Report 2012-5074, iv, 14 p., https://doi.org/10.3133/sir20125074.","productDescription":"iv, 14 p.","startPage":"i","endPage":"14","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-05-15","temporalEnd":"2011-09-30","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":254722,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5074.gif"},{"id":254718,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5074/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Ohio","otherGeospatial":"Cuyahoga River;Cuyahoga Valley National Park","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0024e4b0c8380cd4f5ed","contributors":{"authors":[{"text":"Brady, Amie M. G.","contributorId":29774,"corporation":false,"usgs":true,"family":"Brady","given":"Amie M. G.","affiliations":[],"preferred":false,"id":463927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plona, Meg B.","contributorId":46470,"corporation":false,"usgs":true,"family":"Plona","given":"Meg","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":463928,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038348,"text":"ofr20121075 - 2012 - Fecal-indicator bacteria concentrations in the Illinois River between Hennepin and Peoria, Illinois: 2007-08","interactions":[],"lastModifiedDate":"2012-05-17T01:01:41","indexId":"ofr20121075","displayToPublicDate":"2012-05-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1075","title":"Fecal-indicator bacteria concentrations in the Illinois River between Hennepin and Peoria, Illinois: 2007-08","docAbstract":"The Illinois Environmental Protection Agency has designated portions of the Illinois River in Peoria, Woodford, and Tazewell Counties, Illinois, as impaired owing to the presence of fecal coliform bacteria. The U.S. Geological Survey, in cooperation with the Tri-County Regional Planning Commission, examined the water quality in the Illinois River and major tributaries within a 47-mile reach between Peoria and Hennepin, Ill., during water year 2008 (October 2007–September 2008). Investigations included synoptic (snapshot) sampling at multiple locations in a 1-day period: once in October 2007 during lower streamflow conditions, and again in June 2008 during higher streamflow conditions. Five locations in the study area were monitored for the entire year at monthly or more frequent intervals. Two indicator bacteria were analyzed in each water sample: fecal coliform and Escherichia coli (E. coli). Streamflow information from previously established monitoring locations in the study area was used in the analysis. Correlation analyses were used to characterize the relation between the two fecal-indicator bacteria and the relation of either indicator to streamflow. Concentrations of the two measured fecal-indicator bacteria correlated well for all samples analyzed (r = 0.94, p <0.001), indicating a strong linear correlation. Presence of one fecal-indicator bacteria generally indicates the presence of another at a similar magnitude and may support substitution of generalized data gaps for other analyses. Hydrologic conditions during the study period can be characterized as wetter than normal, with the mean annual flow in the Illinois River about 37-percent above the long-term average. However, for the Illinois River below Peoria Lake at Peoria, a statistically significant negative correlation coefficient indicates a weak inverse relation between values of streamflow and fecal-indicator bacteria (fecal coliform rho = -0.44, p = 0.0129; E. coli: rho = -0.43, p = 0.0157). The correlation between fecal indicators and streamflow in tributaries or in the Illinois River at Hennepin was found to be statistically significant, yet moderate in strength with coefficient values ranging from r = 0.4 to 0.6. Indirect observations from the June 2008 higher flow synoptic event may indicate continued effects from combined storm and sanitary sewers in the vicinity of the Illinois River near Peoria, Ill., contributing to observed single-sample exceedance of the State criterion for fecal coliform.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121075","collaboration":"Prepared in cooperation with the Tri-County Regional Planning Commission","usgsCitation":"Dupre, D.H., Hortness, J., Terrio, P.J., and Sharpe, J.B., 2012, Fecal-indicator bacteria concentrations in the Illinois River between Hennepin and Peoria, Illinois: 2007-08: U.S. Geological Survey Open-File Report 2012-1075, v, 32 p., https://doi.org/10.3133/ofr20121075.","productDescription":"v, 32 p.","startPage":"i","endPage":"32","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":254721,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1075.gif"},{"id":254717,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1075/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois","city":"Hennepin;Peoria","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0f4ae4b0c8380cd5385e","contributors":{"authors":[{"text":"Dupre, David H. dhdupre@usgs.gov","contributorId":2782,"corporation":false,"usgs":true,"family":"Dupre","given":"David","email":"dhdupre@usgs.gov","middleInitial":"H.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hortness, Jon 0000-0002-9809-2876 hortness@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-2876","contributorId":3601,"corporation":false,"usgs":true,"family":"Hortness","given":"Jon","email":"hortness@usgs.gov","affiliations":[],"preferred":true,"id":463926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terrio, Paul J. 0000-0002-1515-9570 pjterrio@usgs.gov","orcid":"https://orcid.org/0000-0002-1515-9570","contributorId":3313,"corporation":false,"usgs":true,"family":"Terrio","given":"Paul","email":"pjterrio@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463924,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70038350,"text":"ds683 - 2012 - Energy map of southwestern Wyoming, Part A - Coal and wind","interactions":[],"lastModifiedDate":"2012-05-11T01:01:41","indexId":"ds683","displayToPublicDate":"2012-05-10T00:00:00","publicationYear":"2012","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":"683","title":"Energy map of southwestern Wyoming, Part A - Coal and wind","docAbstract":"To further advance the objectives of the Wyoming Landscape Conservation Initiative (WLCI) the U.S. Geological Survey (USGS) and the Wyoming State Geological Survey (WSGS) have compiled Part A of the Energy Map of Southwestern Wyoming. Focusing primarily on electrical power sources, Part A of the energy map is a compilation of both published and previously unpublished coal (including coalbed gas) and wind energy resources data, presented in a Geographic Information System (GIS) data package. Energy maps, data, documentation and spatial data processing capabilities are available in a geodatabase, published map file (pmf), ArcMap document (mxd), Adobe Acrobat PDF map (plate 1) and other digital formats that can be downloaded at the USGS website. Accompanying the map (plate 1) and the geospatial data are four additional plates that describe the geology, energy resources, and related infrastructure. These tabular plates include coal mine (plate 2), coal field (plate 3), coalbed gas assessment unit (plate 4), and wind farm (plate 5) information with hyperlinks to source publications and data on the internet. The plates can be printed and examined in hardcopy, or accessed digitally. The data represent decades of research by the USGS, WSGS, BLM and others, and can facilitate landscape-level science assessments, and resource management decisionmaking.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds683","usgsCitation":"Biewick, L., and Jones, N.R., 2012, Energy map of southwestern Wyoming, Part A - Coal and wind: U.S. Geological Survey Data Series 683, iv, 18 p.; 1 Table; Table 1: 48 inches x 33 inches; 5 Plates; Plate 1: 33 inches x 34 inches, Plate 2: 51 inches x 33 inches, Plate 3: 60 inches x 21 inches, Plate 4: 44 inches x 27 inches, Plate 5: 32 inches x 34 inches; Metadata; Datafiles, https://doi.org/10.3133/ds683.","productDescription":"iv, 18 p.; 1 Table; Table 1: 48 inches x 33 inches; 5 Plates; Plate 1: 33 inches x 34 inches, Plate 2: 51 inches x 33 inches, Plate 3: 60 inches x 21 inches, Plate 4: 44 inches x 27 inches, Plate 5: 32 inches x 34 inches; Metadata; Datafiles","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":254725,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_683.png"},{"id":254723,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/683/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","county":"Carbon;Fremont;Lincoln;Sublette;Sweetwater;Uinta","otherGeospatial":"Great Divide Basin;Green River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.05027777777778,40.984722222222224 ], [ -111.05027777777778,45 ], [ -104.05083333333333,45 ], [ -104.05083333333333,40.984722222222224 ], [ -111.05027777777778,40.984722222222224 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a094ae4b0c8380cd51e66","contributors":{"authors":[{"text":"Biewick, Laura","contributorId":83148,"corporation":false,"usgs":true,"family":"Biewick","given":"Laura","affiliations":[],"preferred":false,"id":463930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Nicholas R.","contributorId":14233,"corporation":false,"usgs":true,"family":"Jones","given":"Nicholas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":463929,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038345,"text":"ofr20121073 - 2012 - Winter ecology and habitat use of lesser prairie-chickens in west Texas, 2008-11","interactions":[],"lastModifiedDate":"2012-05-11T01:01:41","indexId":"ofr20121073","displayToPublicDate":"2012-05-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1073","title":"Winter ecology and habitat use of lesser prairie-chickens in west Texas, 2008-11","docAbstract":"The lesser prairie-chicken (Tympanuchus pallidicinctus) has experienced declines in population and occupied range by more than 90 percent since the late 1800s. The lesser prairie-chicken has been listed as a candidate species for protection under the Endangered Species Act and is undergoing review for actual listing. Populations and distribution of lesser prairie-chickens in Texas are thought to be at or near all time lows. These factors have led to substantially increased concern for conservation of the species. It is apparent that sound management and conservation strategies for lesser prairie-chickens are necessary to ensure the long-term persistence of the species. To develop those strategies, basic ecological information is required. Currently, there is a paucity of data on the wintering ecology of the species. We examined home range, habitat use, and survival of lesser prairie-chickens during the winters of 2008–9, 2009–10, and 2010–11 in sand shinnery oak (Quercus havardii) landscapes in west Texas. We captured and radio-tagged 53 adult lesser prairie-chickens. We obtained sufficient locations to estimate winter home-range size for 23 individuals. Home-range size did not differ between years or by sex. Although female prairie-chickens had slightly larger home ranges (503.5 ± 34.9 ha) compared to males (489.1 ± 34.9 ha), the differences were not significant (t2 = 0.05, P = 0.96). During the nonbreeding season, we found that 97.2 percent of locations of male and female prairie-chickens alike were within 3.2 kilometers (km) of the lek of capture. Most locations (96.8%) were within 1.7 km of a known lek and almost all locations (99.9%) were within 3.2 km of an available water source. Habitat cover types were not used proportional to occurrence within the home ranges, grassland dominated areas with sand shinnery oak were used more than available, and sand sagebrush (Artemisia filifolia) areas dominated with grassland as well as sand sagebrush areas dominated with bare ground were both used less than available. Survival rates during the first 2 years (year 1: 0.846 ± 0.141; year 2: 0.827 ± 0.092) were among the highest ever reported for the species during the nonbreeding season. Survival was markedly decreased in year 3 (0.572 ± 0.136) and resulted in an overall nonbreeding season average of 0.721 (± 0.0763). These are still among the highest survival rates reported for the species; it does not appear that winter season mortality is a strong limiting factor in lesser prairie-chicken persistence in the study area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121073","collaboration":"Prepared in cooperation with Texas Parks and Wildlife Department","usgsCitation":"Boal, C.W., and Pirius, N.E., 2012, Winter ecology and habitat use of lesser prairie-chickens in west Texas, 2008-11: U.S. Geological Survey Open-File Report 2012-1073, vi, 9 p., https://doi.org/10.3133/ofr20121073.","productDescription":"vi, 9 p.","startPage":"i","endPage":"9","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":203,"text":"Cooperative Research Unit Atlanta","active":false,"usgs":true}],"links":[{"id":254719,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1073.gif"},{"id":254715,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1073/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd148e4b08c986b32f336","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":463920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pirius, Nicholas E.","contributorId":57702,"corporation":false,"usgs":true,"family":"Pirius","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":463921,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038324,"text":"fs20123055 - 2012 - Landsat's international partners","interactions":[],"lastModifiedDate":"2012-10-25T17:16:18","indexId":"fs20123055","displayToPublicDate":"2012-05-08T00:00:00","publicationYear":"2012","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":"2012-3055","title":"Landsat's international partners","docAbstract":"Since the launch of the first Landsat satellite 40 years ago, International Cooperators (ICs) have formed a key strategic alliance with the U.S. Geological Survey (USGS) to not only engage in Landsat data downlink services but also to enable a foundation for scientific and technical collaboration.\r\nThe map below shows the locations of all ground stations operated by the United States and IC ground station network for the direct downlink and distribution of Landsat 5 (L5) and Landsat 7 (L7) image data. The circles show the approximate area over which each station has the capability for direct reception of Landsat data. The red circles show the components of the L5 ground station network, the green circles show components of the L7 station network, and the dashed circles show stations with dual (L5 and L7) status. The yellow circles show L5 short-term (\"campaign\") stations that contribute to the USGS Landsat archive. \r\nGround stations in South Dakota and Australia currently serve as the primary data capture facilities for the USGS Landsat Ground Network (LGN). The Landsat Ground Station (LGS) is located at the USGS Earth Resources Observation and Science (EROS) Center in Sioux Falls, South Dakota. The Alice Springs (ASN) ground station is located at the Geoscience Australia facility in Alice Springs, Australia. These sites receive the image data, via X-band Radio Frequency (RF) link, and the spacecraft housekeeping data, via S-band RF link. LGS also provides tracking services and a command link to the spacecrafts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123055","usgsCitation":"Byrnes, R.A., 2012, Landsat's international partners: U.S. Geological Survey Fact Sheet 2012-3055, 2 p., https://doi.org/10.3133/fs20123055.","productDescription":"2 p.","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":254710,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3055.gif"},{"id":262789,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3055/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Argentina;Australia;Brazil;Canada;China;Germany;Indonesia;Italy;Japan;Kenya;Mexico;Russia;South Africa;Thailand","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43efe4b0c8380cd666ec","contributors":{"authors":[{"text":"Byrnes, Raymond A. rbyrnes@usgs.gov","contributorId":4779,"corporation":false,"usgs":true,"family":"Byrnes","given":"Raymond","email":"rbyrnes@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":463883,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038321,"text":"ofr20111041 - 2012 - Continuous resistivity profiling data from Northport Harbor and Manhasset Bay, Long Island, New York","interactions":[],"lastModifiedDate":"2018-05-02T21:25:46","indexId":"ofr20111041","displayToPublicDate":"2012-05-08T00:00:00","publicationYear":"2012","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":"2011-1041","title":"Continuous resistivity profiling data from Northport Harbor and Manhasset Bay, Long Island, New York","docAbstract":"An investigation of coastal groundwater systems was performed along the North Shore of Long Island, New York, during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The embayments are bounded by steep moraines and are underlain by thick, fine-grained sediments deposited in proglacial lakes during the last ice age. Beach sand and gravel overlie the glacial deposits along the coast. The continuous resistivity profiling (CRP) surveys that were conducted indicate the existence of low-salinity groundwater in shore-parallel bands, typically 25 to 50 meters wide, along the shorelines of both bays. Piezometer sampling and seepage meter deployments in intertidal and subtidal areas of the two bays confirmed the presence and discharge of brackish and low-salinity groundwater. 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Identifying materials by measuring and analyzing their reflectance spectra has been an important procedure in analytical chemistry for decades. Airborne and space-based imaging spectrometers allow materials to be mapped across the landscape. With many existing airborne sensors and new satellite-borne sensors planned for the future, robust methods are needed to fully exploit the information content of hyperspectral remote sensing data. A method of identifying and mapping materials using spectral feature analyses of reflectance data in an expert-system framework called MICA (Material Identification and Characterization Algorithm) is described. MICA is a module of the PRISM (Processing Routines in IDL for Spectroscopic Measurements) software, available to the public from the U.S. Geological Survey (USGS) at http://pubs.usgs.gov/of/2011/1155/. The core concepts of MICA include continuum removal and linear regression to compare key diagnostic absorption features in reference laboratory/field spectra and the spectra being analyzed. The reference spectra, diagnostic features, and threshold constraints are defined within a user-developed MICA command file (MCF). Building on several decades of experience in mineral mapping, a broadly-applicable MCF was developed to detect a set of minerals frequently occurring on the Earth's surface and applied to map minerals in the country-wide coverage of the 2007 Afghanistan HyMap data set. MICA has also been applied to detect sub-pixel oil contamination in marshes impacted by the Deepwater Horizon incident by discriminating the C-H absorption features in oil residues from background vegetation. These two recent examples demonstrate the utility of a spectroscopic approach to remote sensing for identifying and mapping the distributions of materials in imaging spectrometer data.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XVIII: 23-27 April 2012, Baltimore, Maryland, United States","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XVIII","conferenceDate":"April 23-27 2012","conferenceLocation":"Baltimore, Maryland","language":"English","publisher":"SPIE","doi":"10.1117/12.919121","usgsCitation":"Kokaly, R., 2012, Spectroscopic remote sensing for material identification, vegetation characterization, and mapping, in Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XVIII: 23-27 April 2012, Baltimore, Maryland, United States, v. 8390, Baltimore, Maryland, April 23-27 2012, 839014, https://doi.org/10.1117/12.919121.","productDescription":"839014","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037432","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":309852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8390","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"561e2b39e4b0cdb063e59cee","contributors":{"editors":[{"text":"Lewis, Paul E.","contributorId":149198,"corporation":false,"usgs":false,"family":"Lewis","given":"Paul","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":577278,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Shen, Sylvia S.","contributorId":149199,"corporation":false,"usgs":false,"family":"Shen","given":"Sylvia","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":577279,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Kokaly, Raymond F. 0000-0003-0276-7101 raymond@usgs.gov","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":1785,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","email":"raymond@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":577280,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038318,"text":"ofr20121050 - 2012 - Trace-element analyses of core samples from the 1967-1988 drillings of Kilauea Iki lava lake, Hawaii","interactions":[],"lastModifiedDate":"2019-05-30T12:26:31","indexId":"ofr20121050","displayToPublicDate":"2012-05-07T15:04:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1050","title":"Trace-element analyses of core samples from the 1967-1988 drillings of Kilauea Iki lava lake, Hawaii","docAbstract":"This report presents previously unpublished analyses of trace elements in drill core samples from Kilauea Iki lava lake and from the 1959 eruption that fed the lava lake. The two types of data presented were obtained by instrumental neutron-activation analysis (INAA) and energy-dispersive X-ray fluorescence analysis (EDXRF). The analyses were performed in U.S. Geological Survey (USGS) laboratories from 1989 to 1994. This report contains 93 INAA analyses on 84 samples and 68 EDXRF analyses on 68 samples. The purpose of the study was to document trace-element variation during chemical differentiation, especially during the closed-system differentiation of Kilauea Iki lava lake.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121050","usgsCitation":"Helz, R.T., 2012, Trace-element analyses of core samples from the 1967-1988 drillings of Kilauea Iki lava lake, Hawaii: U.S. Geological Survey Open-File Report 2012-1050, iv, 27 p.; Tables, https://doi.org/10.3133/ofr20121050.","productDescription":"iv, 27 p.; Tables","costCenters":[{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":254699,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1050.gif"},{"id":254696,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1050/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Iki Lava Lake","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb67ae4b08c986b326cb3","contributors":{"authors":[{"text":"Helz, Rosalind Tuthill 0000-0003-1550-0684","orcid":"https://orcid.org/0000-0003-1550-0684","contributorId":85587,"corporation":false,"usgs":true,"family":"Helz","given":"Rosalind","email":"","middleInitial":"Tuthill","affiliations":[],"preferred":false,"id":463857,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038317,"text":"sir20125089 - 2012 - Bathymetric and underwater video survey of Lower Granite Reservoir and vicinity, Washington and Idaho, 2009-10","interactions":[],"lastModifiedDate":"2012-05-08T01:01:39","indexId":"sir20125089","displayToPublicDate":"2012-05-07T14:26:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5089","title":"Bathymetric and underwater video survey of Lower Granite Reservoir and vicinity, Washington and Idaho, 2009-10","docAbstract":"The U.S. Geological Survey conducted a bathymetric survey of the Lower Granite Reservoir, Washington, using a multibeam echosounder, and an underwater video mapping survey during autumn 2009 and winter 2010. The surveys were conducted as part of the U.S. Army Corps of Engineer's study on sediment deposition and control in the reservoir. The multibeam echosounder survey was performed in 1-mile increments between river mile (RM) 130 and 142 on the Snake River, and between RM 0 and 2 on the Clearwater River. The result of the survey is a digital elevation dataset in ASCII coordinate positioning data (easting, northing, and elevation) useful in rendering a 3×3-foot point grid showing bed elevation and reservoir geomorphology. The underwater video mapping survey was conducted from RM 107.73 to 141.78 on the Snake River and RM 0 to 1.66 on the Clearwater River, along 61 U.S. Army Corps of Engineers established cross sections, and dredge material deposit transects. More than 900 videos and 90 bank photographs were used to characterize the sediment facies and ground-truth the multibeam echosounder data. Combined, the surveys were used to create a surficial sediment facies map that displays type of substrate, level of embeddedness, and presence of silt.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125089","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Williams, M.L., Fosness, R.L., and Weakland, R.J., 2012, Bathymetric and underwater video survey of Lower Granite Reservoir and vicinity, Washington and Idaho, 2009-10: U.S. Geological Survey Scientific Investigations Report 2012-5089, iv, 10 p.; Appendices; Figure Downloads, https://doi.org/10.3133/sir20125089.","productDescription":"iv, 10 p.; Appendices; Figure Downloads","additionalOnlineFiles":"Y","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":254695,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5089/","linkFileType":{"id":5,"text":"html"}},{"id":254700,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5089.jpg"}],"country":"United States","state":"Washington;Idaho","otherGeospatial":"Lower Granite Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.51666666666667,46.36666666666667 ], [ -117.51666666666667,46.7 ], [ -116.9,46.7 ], [ -116.9,46.36666666666667 ], [ -117.51666666666667,46.36666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f000e4b0c8380cd4a563","contributors":{"authors":[{"text":"Williams, Marshall L. mlwilliams@usgs.gov","contributorId":1444,"corporation":false,"usgs":true,"family":"Williams","given":"Marshall","email":"mlwilliams@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weakland, Rhonda J. weakland@usgs.gov","contributorId":3541,"corporation":false,"usgs":true,"family":"Weakland","given":"Rhonda","email":"weakland@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":463856,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038305,"text":"ofr20111009 - 2012 - National assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the sandy shorelines of Kauai, Oahu, and Maui, Hawaii","interactions":[],"lastModifiedDate":"2016-08-31T17:54:49","indexId":"ofr20111009","displayToPublicDate":"2012-05-07T10:34:00","publicationYear":"2012","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":"2011-1009","title":"National assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the sandy shorelines of Kauai, Oahu, and Maui, Hawaii","docAbstract":"

Sandy ocean beaches are a popular recreational destination, and often are surrounded by communities that consist of valuable real estate. Development is increasing despite the fact that coastal infrastructure may be repeatedly subjected to flooding and erosion. As a result, the demand for accurate information regarding past and present shoreline changes is increasing. Working with researchers from the University of Hawaii, investigators with the U.S. Geological Survey's National Assessment of Shoreline Change Project have compiled a comprehensive database of digital vector shorelines and shoreline-change rates for the islands of Kauai, Oahu, and Maui, Hawaii. No widely accepted standard for analyzing shoreline change currently exists. Current measurement and rate-calculation methods vary from study to study, precluding the combination of study results into statewide or regional assessments. The impetus behind the National Assessment was to develop a standardized method for measuring changes in shoreline position that is consistent from coast to coast. The goal was to facilitate the process of periodically and systematically updating the measurements in an internally consistent manner. A detailed report on shoreline change for Kauai, Maui, and Oahu that contains a discussion of the data presented here is available and cited in the Geospatial Data section of this report.

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Chyn","contributorId":86203,"corporation":false,"usgs":true,"family":"Lim","given":"S.","email":"","middleInitial":"Chyn","affiliations":[],"preferred":false,"id":463839,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vitousek, Sean","contributorId":11453,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","affiliations":[],"preferred":false,"id":463834,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bochicchio, Christopher","contributorId":45553,"corporation":false,"usgs":true,"family":"Bochicchio","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":463836,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463833,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70038308,"text":"ofr20111051 - 2012 - National assessment of shoreline change: Historical shoreline change in the Hawaiian Islands","interactions":[],"lastModifiedDate":"2016-08-31T17:43:07","indexId":"ofr20111051","displayToPublicDate":"2012-05-07T00:00:00","publicationYear":"2012","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":"2011-1051","title":"National assessment of shoreline change: Historical shoreline change in the Hawaiian Islands","docAbstract":"

Sandy beaches of the United States are some of the most popular tourist and recreational destinations. Coastal property constitutes some of the most valuable real estate in the country. Beaches are an ephemeral environment between water and land with unique and fragile natural ecosystems that have evolved in equilibrium with the ever-changing winds, waves, and water levels. Beachfront lands are the site of intense residential and commercial development even though they are highly vulnerable to several natural hazards, including marine inundation, flooding and drainage problems, effects of storms, sea-level rise, and coastal erosion. Because the U.S. population continues to shift toward the coast where valuable coastal property is vulnerable to erosion, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change. One aspect of this effort, the National Assessment of Shoreline Change, uses shoreline position as a proxy for coastal change because shoreline position is one of the most commonly monitored indicators of environmental change (for example, Fletcher, 1992; Dolan and others, 1991; Douglas and others, 1998; Galgano and others, 1998). Additionally, the National Research Council (1990) recommended the use of historical shoreline analysis in the absence of a widely accepted model of shoreline change.

\n

A principal purpose of the USGS shoreline change research is to develop a common methodology so that shoreline change analyses for the continental U.S., portions of Hawaii, and Alaska can be updated periodically in a consistent and systematic manner. The primary objectives of this study were to (1) develop and implement improved methods of assessing and monitoring shoreline movement, and (2) improve current understanding of the processes controlling shoreline movement.

\n

Achieving these ongoing long-term objectives requires research that (1) examines the original sources of shoreline data (for example, maps, air photos, global positioning system (GPS), Light Detection and Ranging (lidar)); (2) evaluates the utility of different shoreline proxies (for example, geomorphic feature, water mark, tidal datum, elevation), including the errors associated with each; (3) investigates bias and potential errors associated with integrating different shoreline proxies from different sources; (4) develops standard, uniform methods of shoreline change analysis; (5) examines the effects of human activities on shoreline movement and rates of change; and (6) investigates alternative mathematical methods for calculating historical rates of change and uncertainties associated with them.

\n

This report summarizes historical shoreline changes on the three most densely populated islands of the eight main Hawaiian Islands: Kauai, Oahu, and Maui. The report emphasizes the hazard from “chronic” (decades to centuries) erosion at regional scales and strives to relate this hazard to the body of knowledge regarding coastal geology of Hawaii because of its potential impact on natural resources, the economy, and society. Results are organized by coastal regions (island side) and sub-regions (common littoral characteristics). This report of Hawaii coasts is part of a series of reports that include text summarizing methods, results, and implications of the results. In addition, geographic information system (GIS) data used in the analyses are made available for download (Romine and others, 2012). The rates of shoreline change and products presented in this report are not intended for site-specific analysis of shoreline movement, nor are they intended to replace any official source of shoreline change information identified by local or State government agencies, or other Federal entities that are used for regulatory purposes.

\n

Rates of shoreline change presented herein may differ from other published rates, and differences do not necessarily indicate that the other rates are inaccurate. Some discrepancies are to be expected, considering the many possible ways of determining shoreline positions and rates of change, and the inherent uncertainty in calculating these rates. Rates of shoreline change presented in this report represent shoreline movement under past conditions and are not intended for use in predicting future shoreline positions or future rates of shoreline change.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111051","usgsCitation":"Fletcher, C., Romine, B.M., Genz, A., Barbee, M.M., Dyer, M., Anderson, T.R., Lim, S.C., Vitousek, S., Bochicchio, C., and Richmond, B.M., 2012, National assessment of shoreline change: Historical shoreline change in the Hawaiian Islands: U.S. Geological Survey Open-File Report 2011-1051, vii, 55 p., https://doi.org/10.3133/ofr20111051.","productDescription":"vii, 55 p.","startPage":"i","endPage":"55","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":254692,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1051.jpg"},{"id":254688,"rank":100,"type":{"id":15,"text":"Index 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Between 2001 and 2009, the Borderlands Jaguar Detection Project deployed 174 camera traps in the mountains of southern Arizona to record jaguar activity. In addition to jaguars, the motion-activated cameras, placed along known wildlife travel routes, recorded occurrences of ~ 20 other animal species. We examined temporal relationships of white-tailed deer (Odocoileus virginianus) and javelina (Pecari tajacu) to landscape phenology (as measured by monthly Normalized Difference Vegetation Index data) and the timing of wildfire (Alambre Fire of 2007). Mixed model analyses suggest that temporal dynamics of these two species were related to vegetation phenology and natural disturbance in the Sky Island region, information important for wildlife managers faced with uncertainty regarding changing climate and disturbance regimes.

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B.","contributorId":86687,"corporation":false,"usgs":true,"family":"Sankeya","given":"Joel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":570473,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wallace, Cynthia S.A. cwallace@usgs.gov","contributorId":3335,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia S.A.","email":"cwallace@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":570474,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McMacken, Dennis dmcmacke@usgs.gov","contributorId":3900,"corporation":false,"usgs":true,"family":"McMacken","given":"Dennis","email":"dmcmacke@usgs.gov","affiliations":[],"preferred":true,"id":570475,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Childs, Jack L.","contributorId":147124,"corporation":false,"usgs":false,"family":"Childs","given":"Jack","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":570476,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Petrakis, Roy E.","contributorId":46868,"corporation":false,"usgs":true,"family":"Petrakis","given":"Roy E.","affiliations":[],"preferred":false,"id":570477,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70038297,"text":"sir20125046 - 2012 - Isotropic, anisotropic, and borehole washout analyses in Gulf of Mexico Gas Hydrate Joint Industry Project Leg II, Alaminos Canyon well 21-A","interactions":[],"lastModifiedDate":"2012-05-05T01:01:37","indexId":"sir20125046","displayToPublicDate":"2012-05-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5046","title":"Isotropic, anisotropic, and borehole washout analyses in Gulf of Mexico Gas Hydrate Joint Industry Project Leg II, Alaminos Canyon well 21-A","docAbstract":"Through the use of three-dimensional seismic amplitude mapping, several gas hydrate prospects were identified in the Alaminos Canyon area of the Gulf of Mexico. Two of the prospects were drilled as part of the Gulf of Mexico Gas Hydrate Joint Industry Program Leg II in May 2009, and a suite of logging-while-drilling logs was acquired at each well site. Logging-while-drilling logs at the Alaminos Canyon 21–A site indicate that resistivities of approximately 2 ohm-meter and P-wave velocities of approximately 1.9 kilometers per second were measured in a possible gas-hydrate-bearing target sand interval between 540 and 632 feet below the sea floor. These values are slightly elevated relative to those measured in the hydrate-free sediment surrounding the sands. The initial well log analysis is inconclusive in determining the presence of gas hydrate in the logged sand interval, mainly because large washouts in the target interval degraded well log measurements. To assess gas-hydrate saturations, a method of compensating for the effect of washouts on the resistivity and acoustic velocities is required. To meet this need, a method is presented that models the washed-out portion of the borehole as a vertical layer filled with seawater (drilling fluid). Owing to the anisotropic nature of this geometry, the apparent anisotropic resistivities and velocities caused by the vertical layer are used to correct measured log values. By incorporating the conventional marine seismic data into the well log analysis of the washout-corrected well logs, the gas-hydrate saturation at well site AC21–A was estimated to be in the range of 13 percent. Because gas hydrates in the vertical fractures were observed, anisotropic rock physics models were also applied to estimate gas-hydrate saturations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125046","usgsCitation":"Lee, M.W., 2012, Isotropic, anisotropic, and borehole washout analyses in Gulf of Mexico Gas Hydrate Joint Industry Project Leg II, Alaminos Canyon well 21-A: U.S. Geological Survey Scientific Investigations Report 2012-5046, iv, 21 p.; Appendix, https://doi.org/10.3133/sir20125046.","productDescription":"iv, 21 p.; Appendix","startPage":"i","endPage":"23","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":254683,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5046.png"},{"id":254677,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5046/","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Gulf Of Mexico;Alaminos Canyon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3fc2e4b0c8380cd647d0","contributors":{"authors":[{"text":"Lee, Myung W. mlee@usgs.gov","contributorId":779,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"mlee@usgs.gov","middleInitial":"W.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463814,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038280,"text":"sir20125062 - 2012 - Groundwater simulation and management models for the upper Klamath Basin, Oregon and California","interactions":[],"lastModifiedDate":"2012-05-05T01:01:37","indexId":"sir20125062","displayToPublicDate":"2012-05-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5062","title":"Groundwater simulation and management models for the upper Klamath Basin, Oregon and California","docAbstract":"The upper Klamath Basin encompasses about 8,000 square miles, extending from the Cascade Range east to the Basin and Range geologic province in south-central Oregon and northern California. The geography of the basin is dominated by forested volcanic uplands separated by broad interior basins. Most of the interior basins once held broad shallow lakes and extensive wetlands, but most of these areas have been drained or otherwise modified and are now cultivated. Major parts of the interior basins are managed as wildlife refuges, primarily for migratory waterfowl. The permeable volcanic bedrock of the upper Klamath Basin hosts a substantial regional groundwater system that provides much of the flow to major streams and lakes that, in turn, provide water for wildlife habitat and are the principal source of irrigation water for the basin's agricultural economy. Increased allocation of surface water for endangered species in the past decade has resulted in increased groundwater pumping and growing interest in the use of groundwater for irrigation. The potential effects of increased groundwater pumping on groundwater levels and discharge to springs and streams has caused concern among groundwater users, wildlife and Tribal interests, and State and Federal resource managers. To provide information on the potential impacts of increased groundwater development and to aid in the development of a groundwater management strategy, the U.S. Geological Survey, in collaboration with the Oregon Water Resources Department and the Bureau of Reclamation, has developed a groundwater model that can simulate the response of the hydrologic system to these new stresses. The groundwater model was developed using the U.S. Geological Survey MODFLOW finite-difference modeling code and calibrated using inverse methods to transient conditions from 1989 through 2004 with quarterly stress periods. Groundwater recharge and agricultural and municipal pumping are specified for each stress period. All major streams and most major tributaries for which a substantial part of the flow comes from groundwater discharge are included in the model. Groundwater discharge to agricultural drains, evapotranspiration from aquifers in areas of shallow groundwater, and groundwater flow to and from adjacent basins also are simulated in key areas. The model has the capability to calculate the effects of pumping and other external stresses on groundwater levels, discharge to streams, and other boundary fluxes, such as discharge to drains. Historical data indicate that the groundwater system in the upper Klamath Basin fluctuates in response to decadal climate cycles, with groundwater levels and spring flows rising and declining in response to wet and dry periods. Data also show that groundwater levels fluctuate seasonally and interannually in response to groundwater pumping. The most prominent response is to the marked increase in groundwater pumping starting in 2001. The calibrated model is able to simulate observed decadal-scale climate-driven fluctuations in the groundwater system as well as observed shorter-term pumping-related fluctuations. Example model simulations show that the timing and location of the effects of groundwater pumping vary markedly depending on the pumping location. Pumping from wells close (within a few miles) to groundwater discharge features, such as springs, drains, and certain streams, can affect those features within weeks or months of the onset of pumping, and the impacts can be essentially fully manifested in several years. Simulations indicate that seasonal variations in pumping rates are buffered by the groundwater system, and peak impacts are closer to mean annual pumping rates than to instantaneous rates. Thus, pumping effects are, to a large degree, spread out over the entire year. When pumping locations are distant (more than several miles) from discharge features, the effects take many years or decades to fully impact those features, and much of the pumped water comes from groundwater storage over a broad geographic area even after two decades. Moreover, because the effects are spread out over a broad area, the impacts to individual features are much smaller than in the case of nearby pumping. Simulations show that the discharge features most affected by pumping in the area of the Bureau of Reclamation's Klamath Irrigation Project are agricultural drains, and impacts to other surface-water features are small in comparison. A groundwater management model was developed that uses techniques of constrained optimization along with the groundwater flow model to identify the optimal strategy to meet water user needs while not violating defined constraints on impacts to groundwater levels and streamflows. The coupled groundwater simulation-optimization models were formulated to help identify strategies to meet water demand in the upper Klamath Basin. The models maximize groundwater pumping while simultaneously keeping the detrimental impacts of pumping on groundwater levels and groundwater discharge within prescribed limits. Total groundwater withdrawals were calculated under alternative constraints for drawdown, reductions in groundwater discharge to surface water, and water demand to understand the potential benefits and limitations for groundwater development in the upper Klamath Basin. The simulation-optimization model for the upper Klamath Basin provides an improved understanding of how the groundwater and surface-water system responds to sustained groundwater pumping within the Bureau of Reclamation's Klamath Project. Optimization model results demonstrate that a certain amount of supplemental groundwater pumping can occur without exceeding defined limits on drawdown and stream capture. The results of the different applications of the model demonstrate the importance of identifying constraint limits in order to better define the amount and distribution of groundwater withdrawal that is sustainable.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125062","collaboration":"Prepared in cooperation with the Bureau of Reclamation and the Oregon Water Resources Department?","usgsCitation":"Gannett, M.W., Wagner, B.J., and Lite, K.E., 2012, Groundwater simulation and management models for the upper Klamath Basin, Oregon and California: U.S. Geological Survey Scientific Investigations Report 2012-5062, x, 92 p.; Figures; Tables; HTML Document, https://doi.org/10.3133/sir20125062.","productDescription":"x, 92 p.; Figures; Tables; HTML Document","startPage":"i","endPage":"92","numberOfPages":"102","additionalOnlineFiles":"N","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":254685,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5062.jpg"},{"id":254675,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5062/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon;California","otherGeospatial":"Upper Klamath Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2dc2e4b0c8380cd5bffa","contributors":{"authors":[{"text":"Gannett, Marshall W. 0000-0003-2498-2427 mgannett@usgs.gov","orcid":"https://orcid.org/0000-0003-2498-2427","contributorId":2942,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","email":"mgannett@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Brian J. bjwagner@usgs.gov","contributorId":427,"corporation":false,"usgs":true,"family":"Wagner","given":"Brian","email":"bjwagner@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":463787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lite, Kenneth E. Jr.","contributorId":37373,"corporation":false,"usgs":true,"family":"Lite","given":"Kenneth","suffix":"Jr.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":463789,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038302,"text":"ofr20121083 - 2012 - Observations of coastal sediment dynamics of the Tijuana Estuary Fine Sediment Fate and Transport Demonstration Project, Imperial Beach, California","interactions":[],"lastModifiedDate":"2018-09-13T11:11:00","indexId":"ofr20121083","displayToPublicDate":"2012-05-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1083","title":"Observations of coastal sediment dynamics of the Tijuana Estuary Fine Sediment Fate and Transport Demonstration Project, Imperial Beach, California","docAbstract":"Coastal restoration and management must address the presence, use, and transportation of fine sediment, yet little information exists on the patterns and/or processes of fine-sediment transport and deposition for these systems. To fill this information gap, a number of State of California, Federal, and private industry partners developed the Tijuana Estuary Fine Sediment Fate and Transport Demonstration Project (\"Demonstration Project\") with the purpose of monitoring the transport, fate, and impacts of fine sediment from beach-sediment nourishments in 2008 and 2009 near the Tijuana River estuary, Imperial Beach, California. The primary purpose of the Demonstration Project was to collect and provide information about the directions, rates, and processes of fine-sediment transport along and across a California beach and nearshore setting. To achieve these goals, the U.S. Geological Survey monitored water, beach, and seafloor properties during the 2008–2009 Demonstration Project. The project utilized sediment with ~40 percent fine sediment by mass so that the dispersal and transport of fine sediment would be easily recognizable. The purpose of this report is to present and disseminate the data collected during the physical monitoring of the Demonstration Project. These data are available online at the links noted in the \"Additional Digital Information\" section. Synthesis of these data and results will be provided in subsequent publications.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121083","usgsCitation":"Warrick, J., Rosenberger, K.J., Lam, A., Ferreira, J.C., Miller, I.M., Rippy, M., Svejkovsky, J., and Mustain, N., 2012, Observations of coastal sediment dynamics of the Tijuana Estuary Fine Sediment Fate and Transport Demonstration Project, Imperial Beach, California: U.S. Geological Survey Open-File Report 2012-1083, iv, 29 p.; Downloads of Appendices 1-8, https://doi.org/10.3133/ofr20121083.","productDescription":"iv, 29 p.; Downloads of Appendices 1-8","startPage":"i","endPage":"29","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":254679,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1083/","linkFileType":{"id":5,"text":"html"}},{"id":254686,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1083.gif"}],"country":"United States","state":"California","otherGeospatial":"Imperial Beach","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6a8ae4b0c8380cd74216","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":48255,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","affiliations":[],"preferred":false,"id":463824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Kurt J. krosenberger@usgs.gov","contributorId":2575,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":463820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lam, Angela","contributorId":37312,"corporation":false,"usgs":true,"family":"Lam","given":"Angela","email":"","affiliations":[],"preferred":false,"id":463822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferreira, Joanne C. T. 0000-0001-7387-5690 jferreira@usgs.gov","orcid":"https://orcid.org/0000-0001-7387-5690","contributorId":4845,"corporation":false,"usgs":true,"family":"Ferreira","given":"Joanne","email":"jferreira@usgs.gov","middleInitial":"C. T.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Ian M. 0000-0002-3289-6337","orcid":"https://orcid.org/0000-0002-3289-6337","contributorId":41951,"corporation":false,"usgs":false,"family":"Miller","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rippy, Meg","contributorId":34367,"corporation":false,"usgs":true,"family":"Rippy","given":"Meg","affiliations":[],"preferred":false,"id":463821,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Svejkovsky, Jan","contributorId":53208,"corporation":false,"usgs":true,"family":"Svejkovsky","given":"Jan","email":"","affiliations":[],"preferred":false,"id":463825,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mustain, Neomi","contributorId":96777,"corporation":false,"usgs":true,"family":"Mustain","given":"Neomi","email":"","affiliations":[],"preferred":false,"id":463827,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}