{"pageNumber":"684","pageRowStart":"17075","pageSize":"25","recordCount":46883,"records":[{"id":9001446,"text":"sir20115030 - 2011 - Estimated loads of suspended sediment and selected trace elements transported through the Clark Fork basin, Montana, in selected periods before and after the breach of Milltown Dam (water years 1985-2009)","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"sir20115030","displayToPublicDate":"2011-04-09T00:00:00","publicationYear":"2011","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":"2011-5030","title":"Estimated loads of suspended sediment and selected trace elements transported through the Clark Fork basin, Montana, in selected periods before and after the breach of Milltown Dam (water years 1985-2009)","docAbstract":"Milltown Reservoir is a National Priorities List Superfund site in the upper Clark Fork basin of western Montana where sediments enriched in trace elements from historical mining and ore processing have been deposited since the completion of Milltown Dam in 1908. Milltown Dam was breached on March 28, 2008, as part of Superfund remediation activities to remove the dam and excavate contaminated sediment that had accumulated in Milltown Reservoir. In preparation for the breach of Milltown Dam, permanent drawdown of Milltown Reservoir began on June 1, 2006, and lowered the water-surface elevation by about 10 to 12 feet. After the breach of Milltown Dam, the water-surface elevation was lowered an additional 17 feet. Hydrologic data-collection activities were conducted by the U.S. Geological Survey in cooperation with U.S. Environmental Protection Agency to estimate loads of suspended sediment and trace elements transported through the Clark Fork basin before and after the breach of Milltown Dam. This report presents selected results of the data-collection activities.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115030","collaboration":"In cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Sando, S.K., and Lambing, J.H., 2011, Estimated loads of suspended sediment and selected trace elements transported through the Clark Fork basin, Montana, in selected periods before and after the breach of Milltown Dam (water years 1985-2009): U.S. Geological Survey Scientific Investigations Report 2011-5030, viii, 64 p., https://doi.org/10.3133/sir20115030.","productDescription":"viii, 64 p.","numberOfPages":"64","additionalOnlineFiles":"N","temporalStart":"1985-10-01","temporalEnd":"2009-09-30","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":116780,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5030.gif"},{"id":19248,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5030/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.25,45.833333333333336 ], [ -115.25,48 ], [ -112,48 ], [ -112,45.833333333333336 ], [ -115.25,45.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a118","contributors":{"authors":[{"text":"Sando, Steven K. 0000-0003-1206-1030 sksando@usgs.gov","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":1016,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"sksando@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambing, John H.","contributorId":64272,"corporation":false,"usgs":true,"family":"Lambing","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":344496,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99186,"text":"ofr20111082 - 2011 - The chronology for the d18O record from Devils Hole, Nevada,  extended into the Mid-Holocene","interactions":[],"lastModifiedDate":"2012-02-02T00:15:50","indexId":"ofr20111082","displayToPublicDate":"2011-04-08T00:00:00","publicationYear":"2011","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":"2011-1082","title":"The chronology for the d18O record from Devils Hole, Nevada,  extended into the Mid-Holocene","docAbstract":"This report presents the numeric values for the chronology of the paleoclimatically relevant mid-to-late Pleistocene record of the ratios of stable oxygen isotope (delta18O) in vein calcite from Devils Hole, Nev., which recently had been extended into the mid-Holocene. Dating was obtained using 230Th-234U-238U thermal ionization mass spectrometry.\r\n\r\nDevils Hole is a subaqueous cave of tectonic origin, which developed in the discharge zone of a regional aquifer in south-central Nevada. The primary groundwater recharge source area is the Spring Mountains, the highest mountain range in southern Nevada [altitude 3,630 meters (m)], approximately 80 kilometers to the east of the cavern. The walls of the open fault zone comprising the cave system are coated with dense vein calcite precipitated from the through-flowing groundwater. The calcite, up to 40 centimeters (cm) thick, contains a continuous record of the sequential variation of the composition of stable oxygen isotopes in the ground water over time. The vein calcite has also proven to be a suitable material for precise uranium-series dating via thermal ionization mass spectrometry utilizing the 230Th-234U-238U decay clock.\r\n\r\nEarlier work has presented data from the Devils Hole core DH-11, a 36-cm-long core of vein calcite recovered from a depth of about 30 m below the water table (about 45 m beneath the ground surface). The DH-11 core provided a continuous record of isotopic oxygen variation from 567,700 to 59,800 years before present. Recent work has extended this record up to 4,500 years before  \r\npresent, into the mid-Holocene epoch. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111082","usgsCitation":"Landwehr, J., Sharp, W., Coplen, T., Ludwig, K., and Winograd, I., 2011, The chronology for the d18O record from Devils Hole, Nevada,  extended into the Mid-Holocene: U.S. Geological Survey Open-File Report 2011-1082, iii, 5 p.; Download of Table, https://doi.org/10.3133/ofr20111082.","productDescription":"iii, 5 p.; Download of Table","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":624,"text":"Water Resources","active":false,"usgs":true}],"links":[{"id":116888,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1082.gif"},{"id":14601,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1082/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aaae4b07f02db668d35","contributors":{"authors":[{"text":"Landwehr, J.M.","contributorId":39815,"corporation":false,"usgs":true,"family":"Landwehr","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":307709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharp, W.D.","contributorId":88467,"corporation":false,"usgs":true,"family":"Sharp","given":"W.D.","email":"","affiliations":[],"preferred":false,"id":307710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, T.B.","contributorId":34147,"corporation":false,"usgs":true,"family":"Coplen","given":"T.B.","affiliations":[],"preferred":false,"id":307708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ludwig, K.R.","contributorId":97112,"corporation":false,"usgs":true,"family":"Ludwig","given":"K.R.","email":"","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":307711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winograd, I.J.","contributorId":10408,"corporation":false,"usgs":true,"family":"Winograd","given":"I.J.","affiliations":[],"preferred":false,"id":307707,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":9001442,"text":"sir20115042 - 2011 - Magnitude and Frequency of Floods for Urban and Small Rural Streams in Georgia, 2008","interactions":[],"lastModifiedDate":"2017-01-17T10:55:24","indexId":"sir20115042","displayToPublicDate":"2011-04-08T00:00:00","publicationYear":"2011","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":"2011-5042","title":"Magnitude and Frequency of Floods for Urban and Small Rural Streams in Georgia, 2008","docAbstract":"A study was conducted that updated methods for estimating the magnitude and frequency of floods in ungaged urban basins in Georgia that are not substantially affected by regulation or tidal fluctuations. Annual peak-flow data for urban streams from September 2008 were analyzed for 50 streamgaging stations (streamgages) in Georgia and 6 streamgages on adjacent urban streams in Florida and South Carolina having 10 or more years of data. Flood-frequency estimates were computed for the 56 urban streamgages by fitting logarithms of annual peak flows for each streamgage to a Pearson Type III distribution. Additionally, basin characteristics for the streamgages were computed by using a geographical information system and computer algorithms. Regional regression analysis, using generalized least-squares regression, was used to develop a set of equations for estimating flows with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities for ungaged urban basins in Georgia. In addition to the 56 urban streamgages, 171 rural streamgages were included in the regression analysis to maintain continuity between flood estimates for urban and rural basins as the basin characteristics pertaining to urbanization approach zero. Because 21 of the rural streamgages have drainage areas less than 1 square mile, the set of equations developed for this study can also be used for estimating small ungaged rural streams in Georgia. Flood-frequency estimates and basin characteristics for 227 streamgages were combined to form the final database used in the regional regression analysis. Four hydrologic regions were developed for Georgia. The final equations are functions of drainage area and percentage of impervious area for three of the regions and drainage area, percentage of developed land, and mean basin slope for the fourth region. Average standard errors of prediction for these regression equations range from 20.0 to 74.5 percent.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115042","collaboration":"Prepared in cooperation with the Georgia Department of Transportation, Preconstruction Division, Office of Bridge Design\r\n\r\n","usgsCitation":"Gotvald, A.J., and Knaak, A.E., 2011, Magnitude and Frequency of Floods for Urban and Small Rural Streams in Georgia, 2008: U.S. Geological Survey Scientific Investigations Report 2011-5042, v, 39 p. ; spreadsheet, https://doi.org/10.3133/sir20115042.","productDescription":"v, 39 p. ; spreadsheet","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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,{"id":99184,"text":"ofr20101100 - 2011 - Surficial geology of the sea floor in Long Island Sound offshore of Orient Point, New York","interactions":[],"lastModifiedDate":"2012-02-10T00:11:58","indexId":"ofr20101100","displayToPublicDate":"2011-04-06T00:00:00","publicationYear":"2011","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":"2010-1100","title":"Surficial geology of the sea floor in Long Island Sound offshore of Orient Point, New York","docAbstract":"The U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), and the Connecticut Department of Environmental Protection (CT DEP) are working cooperatively to map and interpret features of the sea floor along the northeastern coast of the United States. This report presents multibeam bathymetry and sidescan-sonar data obtained during NOAA survey H11446, which was conducted in a 12-km2 area in Long Island Sound offshore of Orient Point, NY. In addition, sediment and photographic data from 26 stations obtained during a USGS verification cruise are presented. Overall, the sea floor slopes gently seaward, but topography is more complex in sand-wave and boulder areas, which are evident in the multibeam and sidescan-sonar data from the study area. Sand waves generally have north-south-oriented crests with 10- to 20-m wavelengths. Sand-wave asymmetry indicates eastward net sediment transport in the east and westward net sediment transport in the northern and western parts of the study area. Areas with boulders on the sea floor are typically hummocky and are part of a glacial moraine system. Boulders are typically encrusted with seaweed, sponges, and anemones as shown in the bottom photography.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101100","usgsCitation":"McMullen, K., Poppe, L., Danforth, W.W., Blackwood, D., Schaer, J., Guberski, M., Wood, D., and Doran, E.F., 2011, Surficial geology of the sea floor in Long Island Sound offshore of Orient Point, New York: U.S. Geological Survey Open-File Report 2010-1100, HTML Page, https://doi.org/10.3133/ofr20101100.","productDescription":"HTML Page","additionalOnlineFiles":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116887,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1100.gif"},{"id":14599,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1100/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-72.32391277974938, 41.15994651814542], [-72.24257446605856, 41.17740616512514], [-72.23004519372205, 41.17953692347197], [-72.2292997146489, 41.17604494255067], [-72.23059449409168, 41.17549564218102], [-72.23071220131379, 41.172097827037135], [-72.22859347131646, 41.16325016751158], [-72.23171589900682, 41.16156406661179], [-72.23534201871524, 41.16018977973761], [-72.2486207468807, 41.16164046485613], [-72.25802460084611, 41.158964950617694], [-72.26292805444848, 41.155757800045414], [-72.2682461410941, 41.15503752319677], [-72.27249172557528, 41.15568487444863], [-72.27756179087841, 41.15893874512608], [-72.2852780135521, 41.15887623747152], [-72.29990480468717, 41.15294842824391], [-72.3049158349833, 41.148961828950725], [-72.31269456531152, 41.148229100335016], [-72.31937941168735, 41.141207407154674], [-72.32210708330757, 41.141132530297035], [-72.32391277974938, 41.15994651814542]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-72.32391277974938, 41.141132530297035, -72.22852313624901, 41.17953692347197], \"type\": \"Feature\", \"id\": \"3091918\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db68888b","contributors":{"authors":[{"text":"McMullen, K. 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D.","contributorId":31082,"corporation":false,"usgs":true,"family":"Schaer","given":"J.","middleInitial":"D.","affiliations":[],"preferred":false,"id":307702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guberski, M.R.","contributorId":22077,"corporation":false,"usgs":true,"family":"Guberski","given":"M.R.","affiliations":[],"preferred":false,"id":307700,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, D.A.","contributorId":70099,"corporation":false,"usgs":true,"family":"Wood","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":307704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Doran, E. F.","contributorId":31066,"corporation":false,"usgs":true,"family":"Doran","given":"E.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":307701,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":99181,"text":"tm3B9 - 2011 - WTAQ version 2-A computer program for analysis of aquifer tests in confined and water-table aquifers with alternative representations of drainage from the unsaturated zone","interactions":[],"lastModifiedDate":"2012-02-02T00:15:51","indexId":"tm3B9","displayToPublicDate":"2011-04-06T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3-B9","title":"WTAQ version 2-A computer program for analysis of aquifer tests in confined and water-table aquifers with alternative representations of drainage from the unsaturated zone","docAbstract":"The computer program WTAQ simulates axial-symmetric flow to a well pumping from a confined or unconfined (water-table) aquifer. WTAQ calculates dimensionless or dimensional drawdowns that can be used with measured drawdown data from aquifer tests to estimate aquifer hydraulic properties. Version 2 of the program, which is described in this report, provides an alternative analytical representation of drainage to water-table aquifers from the unsaturated zone than that which was available in the initial versions of the code. The revised drainage model explicitly accounts for hydraulic characteristics of the unsaturated zone, specifically, the moisture retention and relative hydraulic conductivity of the soil. The revised program also retains the original conceptualizations of drainage from the unsaturated zone that were available with version 1 of the program to provide alternative approaches to simulate the drainage process. Version 2 of the program includes all other simulation capabilities of the first versions, including partial penetration of the pumped well and of observation wells and piezometers, well-bore storage and skin effects at the pumped well, and delayed drawdown response of observation wells and piezometers.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/tm3B9","collaboration":"Groundwater Resources Program","usgsCitation":"Barlow, P.M., and Moench, A.F., 2011, WTAQ version 2-A computer program for analysis of aquifer tests in confined and water-table aquifers with alternative representations of drainage from the unsaturated zone: U.S. Geological Survey Techniques and Methods 3-B9, v, 13 p.; Appendix; Figures, https://doi.org/10.3133/tm3B9.","productDescription":"v, 13 p.; Appendix; Figures","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":116885,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_3_b9.jpg"},{"id":14596,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm3b9/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49a0e4b07f02db5bde5a","contributors":{"authors":[{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":307684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moench, Allen F. afmoench@usgs.gov","contributorId":3903,"corporation":false,"usgs":true,"family":"Moench","given":"Allen","email":"afmoench@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":307685,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99183,"text":"ofr20101150 - 2011 - Sea-floor geology and topography offshore in Eastern Long Island Sound","interactions":[],"lastModifiedDate":"2012-02-10T00:11:58","indexId":"ofr20101150","displayToPublicDate":"2011-04-06T00:00:00","publicationYear":"2011","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":"2010-1150","title":"Sea-floor geology and topography offshore in Eastern Long Island Sound","docAbstract":"A gridded multibeam bathymetric dataset covers approximately 133.7 square kilometers of sea floor offshore in eastern Long Island Sound. Although originally collected for charting purposes during National Oceanic and Atmospheric Administration hydrographic survey H11997, these acoustic data, and the sea-floor sampling and photography stations subsequently occupied to verify them during USGS cruise 2010-015-FA, are part of an expanding series of studies that provide a fundamental framework for research and resource management (for example, cables, pipelines, and dredging) activities in this major East Coast estuary. Results show the composition and terrain of the seabed and provide information on sediment transport and benthic habitat. Bedrock outcrops, erosional outliers, lag deposits of boulders, scour depressions, and extensive gravel pavements are common in the eastern part of the study area. These features, which result from the near-constant exposure to strong tidal currents, indicate sedimentary environments dominated by processes associated with erosion. Large fields of transverse and barchanoid sand waves in the western part of the study area reflect slightly lower energy levels and sedimentary environments where processes associated with coarse bedload transport prevail. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101150","usgsCitation":"Poppe, L., McMullen, K., Ackerman, S., Blackwood, D., Schaer, J., Forrest, M., Ostapenko, A., and Doran, E.F., 2011, Sea-floor geology and topography offshore in Eastern Long Island Sound: U.S. Geological Survey Open-File Report 2010-1150, HTML Page, https://doi.org/10.3133/ofr20101150.","productDescription":"HTML Page","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116884,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1150.gif"},{"id":14598,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1150/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.83333333333333,40.833333333333336 ], [ -73.83333333333333,41.5 ], [ -72,41.5 ], [ -72,40.833333333333336 ], [ -73.83333333333333,40.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673e29","contributors":{"authors":[{"text":"Poppe, L. 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D.","contributorId":31082,"corporation":false,"usgs":true,"family":"Schaer","given":"J.","middleInitial":"D.","affiliations":[],"preferred":false,"id":307692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Forrest, M.R.","contributorId":79216,"corporation":false,"usgs":true,"family":"Forrest","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":307695,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ostapenko, A.J.","contributorId":90009,"corporation":false,"usgs":true,"family":"Ostapenko","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":307697,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Doran, E. F.","contributorId":31066,"corporation":false,"usgs":true,"family":"Doran","given":"E.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":307691,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70156407,"text":"70156407 - 2011 - Analysis of long-term trends in flow from a large spring complex in northern Florida","interactions":[],"lastModifiedDate":"2021-10-28T15:05:50.263492","indexId":"70156407","displayToPublicDate":"2011-04-06T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Analysis of long-term trends in flow from a large spring complex in northern Florida","docAbstract":"<p><span>Nonparametric regression analysis of historic flow and rainfall data was used to estimate declining flows in a river draining a large spring complex in northern Florida, USA. The analysis indicated that flow declined by an estimated 23 percent from 1900 to 2009. The rate of decline appeared to increase over time, from about 0.8 cubic foot per second per year during the period from 1930-1970, to about 1.1 cubic feet per second per year over the period from 1970-2009. The estimated decline for the period prior to 1980 is consistent with evidence indicating groundwater withdrawals to the east of the study area have diverted groundwater that formerly flowed toward the Ichetucknee River under predevelopment conditions.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"U.S. Geological Survey Karst Interest Group proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"U.S. Geological Survey Karst Interest Group proceedings","conferenceDate":"April 26-29 2011","conferenceLocation":"Fayetteville, Arkansas","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Grubbs, J.W., 2011, Analysis of long-term trends in flow from a large spring complex in northern Florida, <i>in</i> U.S. Geological Survey Karst Interest Group proceedings, v. 2011-5031, Fayetteville, Arkansas, April 26-29 2011, p. 160-167.","productDescription":"8 p.","startPage":"160","endPage":"167","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028516","costCenters":[{"id":5052,"text":"FLWSC-Tallahassee","active":true,"usgs":true}],"links":[{"id":307071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307069,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5031/"}],"country":"United States","state":"Florida","otherGeospatial":"Ichetucknee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.155517578125,\n              28.969700808694157\n            ],\n            [\n              -81.573486328125,\n              28.969700808694157\n            ],\n            [\n              -81.573486328125,\n              30.211608223816906\n            ],\n            [\n              -83.155517578125,\n              30.211608223816906\n            ],\n            [\n              -83.155517578125,\n              28.969700808694157\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2011-5031","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d6fa30e4b0518e3546bc2a","contributors":{"editors":[{"text":"Kuniansky, Eve L. 0000-0002-5581-0225 elkunian@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-0225","contributorId":932,"corporation":false,"usgs":true,"family":"Kuniansky","given":"Eve","email":"elkunian@usgs.gov","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":569047,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Grubbs, Jack W.","contributorId":93142,"corporation":false,"usgs":true,"family":"Grubbs","given":"Jack","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":569046,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99180,"text":"gip121 - 2011 - Water Science Programs in Kansas","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"gip121","displayToPublicDate":"2011-04-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"121","title":"Water Science Programs in Kansas","docAbstract":"The USGS has collected hydrologic information in Kansas since 1895 with the first USGS Cooperative Water Program funding agreement for 6 streamflow gages with the Kansas Water Board. USGS collects streamflow and gage-height data; reservoir content; water-quality and water-quantity data; suspended-sediment data; and groundwater levels. Hydrologic studies are conducted on national, regional, statewide, and local levels. The USGS in Kansas works cooperatively with 31 Federal, State, and local agencies, such as the Kansas Water Office, the U.S.Army Corps of Engineers, and the City of Wichita.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/gip121","usgsCitation":"Ziegler, A., 2011, Water Science Programs in Kansas: U.S. Geological Survey General Information Product 121, 2 p., https://doi.org/10.3133/gip121.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":116878,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_121.jpg"},{"id":14595,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/121/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5fa418","contributors":{"authors":[{"text":"Ziegler, Andy","contributorId":64732,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andy","email":"","affiliations":[],"preferred":false,"id":307683,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99178,"text":"sir20115024 - 2011 - Stream profile analyses using a step-backwater model for selected reaches in the Chippewa Creek Basin in Medina, Wayne, and Summit Counties, Ohio","interactions":[],"lastModifiedDate":"2021-11-15T20:32:46.090399","indexId":"sir20115024","displayToPublicDate":"2011-04-02T00:00:00","publicationYear":"2011","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":"2011-5024","title":"Stream profile analyses using a step-backwater model for selected reaches in the Chippewa Creek Basin in Medina, Wayne, and Summit Counties, Ohio","docAbstract":"The USGS, in cooperation with the Chippewa Subdistrict of the Muskingum Watershed Conservancy District, performed hydrologic and hydraulic analyses for selected reaches of three streams in Medina, Wayne, Stark, and Summit Counties in northeast Ohio: Chippewa Creek, Little Chippewa Creek, and River Styx. This study was done to facilitate assessment of various alternatives for mitigating flood hazards in the Chippewa Creek basin.\r\nStreamStats regional regression equations were used to estimate instantaneous peak discharges approximately corresponding to bankfull flows. Explanatory variables used in the regression equations were drainage area, main-channel slope, and storage area. Hydraulic models were developed to determine water-surface profiles along the three stream reaches studied for the bankfull discharges established in the hydrologic analyses. The HEC-RAS step-backwater hydraulic analysis model was used to determine water-surface profiles for the three streams. Starting water-surface elevations for all streams were established using normal depth computations in the HEC-RAS models. Cross-sectional elevation data, hydraulic-structure geometries, and roughness coefficients were collected in the field and (along with peak-discharge estimates) used as input for the models. Reach-averaged reductions in water-surface elevations ranged from 0.11 to 1.29 feet over the four roughness coefficient reduction scenarios.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115024","usgsCitation":"Straub, D.E., and Ebner, A.D., 2011, Stream profile analyses using a step-backwater model for selected reaches in the Chippewa Creek Basin in Medina, Wayne, and Summit Counties, Ohio: U.S. Geological Survey Scientific Investigations Report 2011-5024, vi, 12 p., https://doi.org/10.3133/sir20115024.","productDescription":"vi, 12 p.","additionalOnlineFiles":"N","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":116103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5024.gif"},{"id":14592,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5024/","linkFileType":{"id":5,"text":"html"}},{"id":391692,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95113.htm"}],"country":"United States","state":"Ohio","county":"Medina County, Summitt County, Wayne County","otherGeospatial":"Chippewa Creek basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82,40.8167 ], [ -82,41.1333 ], [ -81.6406,41.1333 ], [ -81.6406,40.8167 ], [ -82,40.8167 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a5116","contributors":{"authors":[{"text":"Straub, David E. destraub@usgs.gov","contributorId":1908,"corporation":false,"usgs":true,"family":"Straub","given":"David","email":"destraub@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":307676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebner, Andrew D. aebner@usgs.gov","contributorId":1849,"corporation":false,"usgs":true,"family":"Ebner","given":"Andrew","email":"aebner@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":307675,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046816,"text":"70046816 - 2011 - Ontology patterns for complex topographic feature types","interactions":[],"lastModifiedDate":"2018-11-21T09:21:54","indexId":"70046816","displayToPublicDate":"2011-04-01T16:11:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1191,"text":"Cartography and Geographic Information Science","active":true,"publicationSubtype":{"id":10}},"title":"Ontology patterns for complex topographic feature types","docAbstract":"Complex feature types are defined as integrated relations between basic features for a shared meaning or concept. The shared semantic concept is difficult to define in commonly used geographic information systems (GIS) and remote sensing technologies. The role of spatial relations between complex feature parts was recognized in early GIS literature, but had limited representation in the feature or coverage data models of GIS. Spatial relations are more explicitly specified in semantic technology. In this paper, semantics for topographic feature ontology design patterns (ODP) are developed as data models for the representation of complex features. In the context of topographic processes, component assemblages are supported by resource systems and are found on local landscapes. The topographic ontology is organized across six thematic modules that can account for basic feature types, resource systems, and landscape types. Types of complex feature attributes include location, generative processes and physical description. Node/edge networks model standard spatial relations and relations specific to topographic science to represent complex features. To demonstrate these concepts, data from The National Map of the U. S. Geological Survey was converted and assembled into ODP.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Cartography and Geographic Information Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cartography and Geographic Information Society","doi":"10.1559/15230406382126","usgsCitation":"Varanka, D.E., 2011, Ontology patterns for complex topographic feature types: Cartography and Geographic Information Science, v. 38, no. 2, p. 126-136, https://doi.org/10.1559/15230406382126.","productDescription":"11 p.","startPage":"126","endPage":"136","ipdsId":"IP-026646","costCenters":[{"id":161,"text":"Center of Excellence for Geospatial Information Science (CEGIS)","active":false,"usgs":true}],"links":[{"id":274723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274722,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1559/15230406382126"}],"country":"United States","volume":"38","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dbdf73e4b0f81004b77d95","contributors":{"authors":[{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":480358,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70125778,"text":"70125778 - 2011 - Predicting community responses to perturbations in the face of imperfect knowledge and network complexity","interactions":[],"lastModifiedDate":"2014-09-18T13:01:34","indexId":"70125778","displayToPublicDate":"2011-04-01T13:00:24","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting community responses to perturbations in the face of imperfect knowledge and network complexity","docAbstract":"How best to predict the effects of perturbations to ecological communities has been a long-standing goal for both applied and basic ecology. This quest has recently been revived by new empirical data, new analysis methods, and increased computing speed, with the promise that ecologically important insights may be obtainable from a limited knowledge of community interactions. We use empirically based and simulated networks of varying size and connectance to assess two limitations to predicting perturbation responses in multispecies communities: (1) the inaccuracy by which species interaction strengths are empirically quantified and (2) the indeterminacy of species responses due to indirect effects associated with network size and structure. We find that even modest levels of species richness and connectance (∼25 pairwise interactions) impose high requirements for interaction strength estimates because system indeterminacy rapidly overwhelms predictive insights. Nevertheless, even poorly estimated interaction strengths provide greater average predictive certainty than an approach that uses only the sign of each interaction. Our simulations provide guidance in dealing with the trade-offs involved in maximizing the utility of network approaches for predicting dynamics in multispecies communities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Brooklyn Botanical Garden","publisherLocation":"Brooklyn, NY","doi":"10.1890/10-1354.1","usgsCitation":"Novak, M., Wootton, J.T., Doak, D.F., Emmerson, M., Estes, J.A., and Tinker, M.T., 2011, Predicting community responses to perturbations in the face of imperfect knowledge and network complexity: Ecology, v. 92, no. 4, p. 836-846, https://doi.org/10.1890/10-1354.1.","productDescription":"11 p.","startPage":"836","endPage":"846","numberOfPages":"11","ipdsId":"IP-030612","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294079,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-1354.1"}],"volume":"92","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541bf44ae4b0e96537ddf806","contributors":{"authors":[{"text":"Novak, Mark","contributorId":45229,"corporation":false,"usgs":false,"family":"Novak","given":"Mark","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":501653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wootton, J. Timothy","contributorId":84283,"corporation":false,"usgs":true,"family":"Wootton","given":"J.","email":"","middleInitial":"Timothy","affiliations":[],"preferred":false,"id":501657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doak, Daniel F.","contributorId":46811,"corporation":false,"usgs":true,"family":"Doak","given":"Daniel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":501654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Emmerson, Mark","contributorId":93404,"corporation":false,"usgs":true,"family":"Emmerson","given":"Mark","email":"","affiliations":[],"preferred":false,"id":501658,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Estes, James A. jim_estes@usgs.gov","contributorId":53325,"corporation":false,"usgs":true,"family":"Estes","given":"James","email":"jim_estes@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":501655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tinker, M. Timothy","contributorId":82959,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"","middleInitial":"Timothy","affiliations":[],"preferred":false,"id":501656,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70133845,"text":"70133845 - 2011 - Development of a depth-integrated sample arm to reduce solids stratification bias in stormwater sampling","interactions":[],"lastModifiedDate":"2021-05-21T19:00:40.991522","indexId":"70133845","displayToPublicDate":"2011-04-01T09:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3711,"text":"Water Environment Research","active":true,"publicationSubtype":{"id":10}},"title":"Development of a depth-integrated sample arm to reduce solids stratification bias in stormwater sampling","docAbstract":"<p><span>A new depth-integrated sample arm (DISA) was developed to improve the representation of solids in stormwater, both organic and inorganic, by collecting a water quality sample from multiple points in the water column. Data from this study demonstrate the idea of vertical stratification of solids in storm sewer runoff. Concentrations of suspended sediment in runoff were statistically greater using a fixed rather than multi-point collection system. Median suspended sediment concentrations measured at the fixed location (near the pipe invert) were approximately double those collected using the DISA. In general, concentrations and size distributions of suspended sediment decreased with increasing vertical distance from the storm sewer invert. Coarser particles tended to dominate the distribution of solids near the storm sewer invert as discharge increased. In contrast to concentration and particle size, organic material, to some extent, was distributed homogenously throughout the water column, likely the result of its low specific density, which allows for thorough mixing in less turbulent water.</span></p>","language":"English","publisher":"Water Environment Federation","publisherLocation":"Alexandria, VA","doi":"10.2175/106143010X12851009156006","usgsCitation":"Selbig, W.R., and Bannerman, R.T., 2011, Development of a depth-integrated sample arm to reduce solids stratification bias in stormwater sampling: Water Environment Research, v. 83, no. 4, p. 347-357, https://doi.org/10.2175/106143010X12851009156006.","productDescription":"11 p.","startPage":"347","endPage":"357","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020752","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":296220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546f10ece4b057be23d4a770","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bannerman, Roger T.","contributorId":127491,"corporation":false,"usgs":false,"family":"Bannerman","given":"Roger","email":"","middleInitial":"T.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":525478,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70190472,"text":"70190472 - 2011 - ATV magnetometer systems for efficient ground magnetic surveying","interactions":[],"lastModifiedDate":"2017-09-01T10:01:30","indexId":"70190472","displayToPublicDate":"2011-04-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"ATV magnetometer systems for efficient ground magnetic surveying","docAbstract":"<p><span>Ground magnetic data contain information, not pre-sent in aeromagnetic data, which may be useful for precisely mapping near-surface faults and contacts, as well as constraining or aiding interpretation of other geophysical methods. However, collecting ground magnetic data on foot is labor-intensive and is therefore limited to small surveys. In this article, we present two newly developed all-terrain vehicle (ATV) magnetometer systems that significantly expand the survey area that is possible in a ground magnetic survey without greatly reducing the quality of data.</span></p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3575284","usgsCitation":"Athens, N.D., Glen, J.M., Morin, R.L., and Klemperer, S.L., 2011, ATV magnetometer systems for efficient ground magnetic surveying: The Leading Edge, v. 30, no. 4, p. 394-398, https://doi.org/10.1190/1.3575284.","productDescription":"5 p.","startPage":"394","endPage":"398","ipdsId":"IP-026094","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":345410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59aa71dce4b0e9bde130d00b","contributors":{"authors":[{"text":"Athens, Noah D. nathens@usgs.gov","contributorId":4866,"corporation":false,"usgs":true,"family":"Athens","given":"Noah","email":"nathens@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M. G. jglen@usgs.gov","contributorId":1753,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M. G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":709403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morin, Robert L.","contributorId":82671,"corporation":false,"usgs":true,"family":"Morin","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":709404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klemperer, Simon L.","contributorId":106929,"corporation":false,"usgs":true,"family":"Klemperer","given":"Simon","email":"","middleInitial":"L.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":709405,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217622,"text":"70217622 - 2011 - A paleoseismic study along the central Denali Fault, Chistochina Glacier area, south-central Alaska","interactions":[],"lastModifiedDate":"2021-01-25T15:18:54.304064","indexId":"70217622","displayToPublicDate":"2011-03-31T09:08:10","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5492,"text":"Report of Investigations of the Alaska Department of Natural Resources, Division of Geological & Geophysical Surveys","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"2011-1","title":"A paleoseismic study along the central Denali Fault, Chistochina Glacier area, south-central Alaska","docAbstract":"In the Chistochina Glacier area of south-central Alaska, the active trace of the Denali fault is well defined by prominent tectonic geomorphology, including scarps, grabens, and mole tracks associated with the 2002 Mw=7.9 Denali fault earthquake. Interpretation of a trench excavated across the 2002 rupture trace places a constraint on the timing of the penultimate earthquake to after 550 to 660 yr before 2002, consis- tent with other paleoseismic studies along the central Denali fault. Field measurement of offset moraine deposits and use of existing geochronologic data is the basis to estimate a minimum latest Pleistocene slip rate of 8–14 mm/yr.","language":"English","publisher":"State of Alaska, Department of Natural Resourses, Division of Geological & Geophysical Surveys","doi":"10.14509/22361","usgsCitation":"Koehler, R., Personius, S., Schwartz, D.P., Haeussler, P., and Seitz, G., 2011, A paleoseismic study along the central Denali Fault, Chistochina Glacier area, south-central Alaska: Report of Investigations of the Alaska Department of Natural Resources, Division of Geological & Geophysical Surveys 2011-1, 21 p., https://doi.org/10.14509/22361.","productDescription":"21 p.","ipdsId":"IP-027949","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":475017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/22361","text":"Publisher Index Page"},{"id":382545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Christochina Glacier area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -148.21655273437497,\n              62.90522700054292\n            ],\n            [\n              -143.86596679687497,\n              62.90522700054292\n            ],\n            [\n              -143.86596679687497,\n              63.9132276742476\n            ],\n            [\n              -148.21655273437497,\n              63.9132276742476\n            ],\n            [\n              -148.21655273437497,\n              62.90522700054292\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Koehler, R. D.","contributorId":248345,"corporation":false,"usgs":false,"family":"Koehler","given":"R. D.","affiliations":[{"id":49865,"text":"AK Div of Geology & Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":808930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Personius, Stephen 0000-0001-8347-7370 personius@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-7370","contributorId":150055,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":808929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, David P. 0000-0003-2385-8715 dschwartz@usgs.gov","orcid":"https://orcid.org/0000-0003-2385-8715","contributorId":248344,"corporation":false,"usgs":true,"family":"Schwartz","given":"David","email":"dschwartz@usgs.gov","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":808928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":808927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seitz, G. G.","contributorId":248346,"corporation":false,"usgs":false,"family":"Seitz","given":"G. G.","affiliations":[{"id":49866,"text":"Seitz Consulting, Los Angeles, CA","active":true,"usgs":false}],"preferred":false,"id":808931,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":9001432,"text":"fs20113026 - 2011 - Seafloor erosional processes offshore of the Chandeleur Islands, Louisiana","interactions":[],"lastModifiedDate":"2017-08-29T13:26:56","indexId":"fs20113026","displayToPublicDate":"2011-03-30T00:00:00","publicationYear":"2011","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":"2011-3026","title":"Seafloor erosional processes offshore of the Chandeleur Islands, Louisiana","docAbstract":"The Chandeleur Islands are a chain of barrier islands that lies along the eastern side of the modern Mississippi River Delta plain. The island chain is located near the seaward edge of the relict St. Bernard Delta, the part of the Mississippi Delta that formed between approximately 4,000 and 2,000 years before present and was later abandoned as sedimentation shifted southward. After abandonment of the St. Bernard Delta, deposits were reworked, and the sandy component was shaped into the Chandeleur Islands. With continued subsidence, the islands became separated from their original delta headland sources and presently are isolated from the mainland by the shallow Chandeleur Sound. Newly acquired geophysical data and vibracores provide an opportunity to better understand the processes that are shaping seafloor morphology (i.e., shape, geometry, and structure of the seafloor) on the inner shelf adjacent to the Chandeleur Islands. The inner shelf offshore of the Chandeleur Islands was mapped in 2006 and 2007 using swath bathymetry, sidescan sonar, and high-resolution seismic-reflection techniques. The detailed results of this study were published in December 2009 (Twichell and others, 2009) as part of a special issue of Geo-Marine Letters that documents early results from the Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility Project. This study addresses questions and concerns related to limited sand resources along the Louisiana shelf and their implications to long-term relative sea-level rise and storm impacts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113026","collaboration":"Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility Project","usgsCitation":"Twichell, D.C., and Brock, J., 2011, Seafloor erosional processes offshore of the Chandeleur Islands, Louisiana: U.S. Geological Survey Fact Sheet 2011-3026, 2 p., https://doi.org/10.3133/fs20113026.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116270,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3026.jpg"},{"id":19240,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2011/3026/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.5,29 ], [ -90.5,30.5 ], [ -88,30.5 ], [ -88,29 ], [ -90.5,29 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673e31","contributors":{"authors":[{"text":"Twichell, David C.","contributorId":37730,"corporation":false,"usgs":true,"family":"Twichell","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":344471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":344470,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99173,"text":"fs20113022 - 2011 - Buffelgrass-Integrated modeling of an invasive plant","interactions":[],"lastModifiedDate":"2012-02-02T00:15:50","indexId":"fs20113022","displayToPublicDate":"2011-03-30T00:00:00","publicationYear":"2011","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":"2011-3022","title":"Buffelgrass-Integrated modeling of an invasive plant","docAbstract":"Buffelgrass (Pennisetum ciliare) poses a problem in the deserts of the United States, growing in dense stands and introducing a wildfire risk in an ecosystem not adapted to fire. The Invasive Species Science Branch of the Fort Collins Science Center has worked with many partners to develop a decision support model and a data management system to address the problem. The decision support model evaluates potential strategies for resource use and allocation. The data management system is a portal where users can submit, view, and download buffelgrass data. These tools provide a case study showcasing how the FORT is working to address the urgent issue of invasive species in the United States.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20113022","usgsCitation":"Holcombe, T.R., 2011, Buffelgrass-Integrated modeling of an invasive plant: U.S. Geological Survey Fact Sheet 2011-3022, 2 p., https://doi.org/10.3133/fs20113022.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":116274,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3022.png"},{"id":14584,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3022/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fa6d9","contributors":{"authors":[{"text":"Holcombe, Tracy R. holcombet@usgs.gov","contributorId":3694,"corporation":false,"usgs":true,"family":"Holcombe","given":"Tracy","email":"holcombet@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":307662,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99172,"text":"sir20105236 - 2011 - Use of instantaneous streamflow measurements to improve regression estimates of index flow for the summer month of lowest streamflow in Michigan","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"sir20105236","displayToPublicDate":"2011-03-30T00:00:00","publicationYear":"2011","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":"2010-5236","title":"Use of instantaneous streamflow measurements to improve regression estimates of index flow for the summer month of lowest streamflow in Michigan","docAbstract":"In Michigan, index flow Q50 is a streamflow characteristic defined as the minimum of median flows for July, August, and September. The state of Michigan uses index flow estimates to help regulate large (greater than 100,000 gallons per day) water withdrawals to prevent adverse effects on characteristic fish populations. At sites where long-term streamgages are located, index flows are computed directly from continuous streamflow records as GageQ50. In an earlier study, a multiple-regression equation was developed to estimate index flows IndxQ50 at ungaged sites. The index equation explains about 94 percent of the variability of index flows at 147 (index) streamgages by use of six explanatory variables describing soil type, aquifer transmissivity, land cover, and precipitation characteristics. This report extends the results of the previous study, by use of Monte Carlo simulations, to evaluate alternative flow estimators, DiscQ50, IntgQ50, SiteQ50, and AugmQ50. The Monte Carlo simulations treated each of the available index streamgages, in turn, as a miscellaneous site where streamflow conditions are described by one or more instantaneous measurements of flow. In the simulations, instantaneous flows were approximated by daily mean flows at the corresponding site. All estimators use information that can be obtained from instantaneous flow measurements and contemporaneous daily mean flow data from nearby long-term streamgages. The efficacy of these estimators was evaluated over a set of measurement intensities in which the number of simulated instantaneous flow measurements ranged from 1 to 100 at a site.\r\n\r\nThe discrete measurement estimator DiscQ50 is based on a simple linear regression developed between information on daily mean flows at five or more streamgages near the miscellaneous site and their corresponding GageQ50 index flows. The regression relation then was used to compute a DiscQ50 estimate at the miscellaneous site by use of the simulated instantaneous flow measurement. This process was repeated to develop a set of DiscQ50 estimates for all simulated instantaneous measurements, a weighted DiscQ50 estimate was formed from this set. Results indicated that the expected value of this weighted estimate was more precise than the IndxQ50 estimate for all measurement intensities evaluated.\r\n\r\nThe integrated index-flow estimator, IntgQ50, was formed by computing a weighted average of the index estimate IndxQ50 and the DiscQ50 estimate. Results indicated that the IntgQ50 estimator was more precise than the DiscQ50 estimator at low measurement intensities of one to two measurements. At greater measurement intensities, the precision of the IntgQ50 estimator converges to the DiscQ50 estimator. Neither the DiscQ50 nor the IntgQ50 estimators provided site-specific estimates. In particular, although expected values of DiscQ50 and IntgQ50 estimates converge with increasing measurement intensity, they do not necessarily converge to the site-specific value of Q50.\r\n\r\nThe site estimator of flow, SiteQ50, was developed to facilitate this convergence at higher measurement intensities. This is accomplished by use of the median of simulated instantaneous flow values for each measurement intensity level. A weighted estimate of the median and information associated with the IntgQ50 estimate was used to form the SiteQ50 estimate. Initial simulations indicate that the SiteQ50 estimator generally has greater precision than the IntgQ50 estimator at measurement intensities greater than 3, however, additional analysis is needed to identify streamflow conditions under which instantaneous measurements will produce estimates that generally converge to the index flows.\r\n\r\nA preliminary augmented index regression equation was developed, which contains the index regression estimate and two additional variables associated with base-flow recession characteristics. When these recession variables were estimated as the medians of recession parameters compute","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105236","collaboration":"Prepared in cooperation with the Michigan Department of Natural Resources and Environment","usgsCitation":"Holtschlag, D.J., 2011, Use of instantaneous streamflow measurements to improve regression estimates of index flow for the summer month of lowest streamflow in Michigan: U.S. Geological Survey Scientific Investigations Report 2010-5236, x, 48 p.; Appendices, https://doi.org/10.3133/sir20105236.","productDescription":"x, 48 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":116275,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5236.gif"},{"id":14583,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5236/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90,40 ], [ -90,48 ], [ -82,48 ], [ -82,40 ], [ -90,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adae4b07f02db6858f3","contributors":{"authors":[{"text":"Holtschlag, David J. 0000-0001-5185-4928 dholtschlag@usgs.gov","orcid":"https://orcid.org/0000-0001-5185-4928","contributorId":5447,"corporation":false,"usgs":true,"family":"Holtschlag","given":"David","email":"dholtschlag@usgs.gov","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307661,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":9001428,"text":"sir20105219 - 2011 - Fluctuations in groundwater levels related to regional and local withdrawals in the fractured-bedrock groundwater system in northern Wake County, North Carolina, March 2008-February 2009","interactions":[],"lastModifiedDate":"2017-01-17T10:49:58","indexId":"sir20105219","displayToPublicDate":"2011-03-30T00:00:00","publicationYear":"2011","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":"2010-5219","title":"Fluctuations in groundwater levels related to regional and local withdrawals in the fractured-bedrock groundwater system in northern Wake County, North Carolina, March 2008-February 2009","docAbstract":"A study of dewatering of the fractured-bedrock aquifer in a localized area of east-central North Carolina was conducted from March 2008 through February 2009 to gain an understanding of why some privately owned wells and monitoring wells were intermittently dry. Although the study itself was localized in nature, the resulting water-resources data and information produced from the study will help enable resource managers to make sound water-supply and water-use decisions in similar crystalline-rock aquifer setting in parts of the Piedmont and Blue Ridge Physiographic Provinces. In June 2005, homeowners in a subdivision of approximately 11 homes on lots approximately 1 to 2 acres in size in an unincorporated area of Wake County, North Carolina, reported extremely low water pressure and temporarily dry wells during a brief period. This area of the State, which is in the Piedmont Physiographic Province, is undergoing rapid growth and development. Similar well conditions were reported again in July 2007. In an effort to evaluate aquifer conditions in the area of intermittent water loss, a study was begun in March 2008 to measure and monitor water levels and groundwater use. During the study period from March 2008 through February 2009, regular dewatering of the fractured-bedrock aquifer was documented with water levels in many wells ranging between 100 and 200 feet below land surface. Prior to this period, water levels from the 1980s through the late 1990s were reported to range from 15 to 50 feet below land surface. The study area includes three community wells and more than 30 private wells within a 2,000-foot radius of the dewatered private wells. Although groundwater levels were low, recovery was observed during periods of heavy rainfall, most likely a result of decreased withdrawals owing to less demand for irrigation purposes. Similar areal patterns of low groundwater levels were delineated during nine water-level measurement periods from March 2008 through February 2009. Correlation of groundwater-level distribution patterns with orientations of geologic structures obtained from surficial mapping, borehole geophysical measurements, and interpretation of fracture traces suggests two dominant trends striking north-south and N. 65 degrees W. A variation in overall response to groundwater withdrawals was noted in the continuous groundwater-level records for the monitored observation wells and dewatered private wells. The largest overall declines during the study period were observed in an observation well in which the water-level declined as much as 247 feet from mid-July through early August 2008, during a period of heavy usage. A private well had a water-level decline of about 94 feet during the same monitoring period. The large declines recorded in the observation well and the private well indicated a substantial temporary loss of storage in the fractured-bedrock aquifer near the wells, thus reducing the amount of water available to shallow wells in the area (those wells with total depths of about 300 feet), and resulting in temporary well failures until such time as the aquifer recovered.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105219","collaboration":"Prepared in cooperation with Wake County Department of Environmental Services","usgsCitation":"Chapman, M.J., Almanaseer, N., McClenney, B., and Hinton, N., 2011, Fluctuations in groundwater levels related to regional and local withdrawals in the fractured-bedrock groundwater system in northern Wake County, North Carolina, March 2008-February 2009: U.S. Geological Survey Scientific Investigations Report 2010-5219, viii, 50 p.; Appendix, https://doi.org/10.3133/sir20105219.","productDescription":"viii, 50 p.; Appendix","numberOfPages":"60","additionalOnlineFiles":"N","temporalStart":"2008-03-01","temporalEnd":"2009-02-28","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116271,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5219.jpg"},{"id":19236,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5219/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","county":"Wake County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-78.5465,36.0218],[-78.4307,35.9795],[-78.3969,35.9387],[-78.3567,35.9318],[-78.351,35.909],[-78.3385,35.9052],[-78.3347,35.8997],[-78.3302,35.896],[-78.3245,35.896],[-78.3177,35.8963],[-78.3137,35.8976],[-78.3081,35.8935],[-78.2948,35.8797],[-78.292,35.8792],[-78.2893,35.8741],[-78.2859,35.8713],[-78.2831,35.8681],[-78.2782,35.8631],[-78.2749,35.8567],[-78.2756,35.8494],[-78.2707,35.843],[-78.2657,35.8361],[-78.2652,35.8325],[-78.2613,35.8315],[-78.2591,35.826],[-78.2599,35.8183],[-78.3731,35.7523],[-78.4635,35.7072],[-78.4686,35.7087],[-78.4709,35.7078],[-78.4732,35.7046],[-78.4778,35.7011],[-78.5716,35.6255],[-78.708,35.5191],[-78.9196,35.5857],[-78.9956,35.6104],[-78.9796,35.6656],[-78.9439,35.7515],[-78.9421,35.756],[-78.9403,35.7615],[-78.9337,35.7859],[-78.9191,35.8216],[-78.9096,35.8506],[-78.9076,35.8678],[-78.89,35.8676],[-78.8298,35.8689],[-78.8056,35.9281],[-78.7609,35.9176],[-78.751,35.9307],[-78.7372,35.941],[-78.714,35.9729],[-78.7009,36.0068],[-78.6985,36.0131],[-78.7048,36.0091],[-78.7077,36.0087],[-78.7076,36.0132],[-78.7052,36.0223],[-78.7085,36.0287],[-78.7102,36.0287],[-78.713,36.0278],[-78.7164,36.0283],[-78.7232,36.0334],[-78.726,36.0343],[-78.7272,36.0334],[-78.7278,36.0289],[-78.7324,36.0267],[-78.7353,36.0199],[-78.7422,36.0209],[-78.75,36.026],[-78.7551,36.0283],[-78.7545,36.0301],[-78.7511,36.0323],[-78.7499,36.035],[-78.747,36.0395],[-78.7492,36.0427],[-78.7503,36.0468],[-78.7519,36.0491],[-78.7564,36.0532],[-78.7498,36.0718],[-78.7088,36.0768],[-78.6895,36.0752],[-78.5922,36.0378],[-78.5465,36.0218]]]},\"properties\":{\"name\":\"Wake\",\"state\":\"NC\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de7ab","contributors":{"authors":[{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Almanaseer, Naser","contributorId":13732,"corporation":false,"usgs":true,"family":"Almanaseer","given":"Naser","email":"","affiliations":[],"preferred":false,"id":344460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClenney, Bryce","contributorId":18095,"corporation":false,"usgs":true,"family":"McClenney","given":"Bryce","email":"","affiliations":[],"preferred":false,"id":344461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hinton, Natalie","contributorId":33035,"corporation":false,"usgs":true,"family":"Hinton","given":"Natalie","email":"","affiliations":[],"preferred":false,"id":344462,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":9001426,"text":"sir20105228 - 2011 - Trends in nutrient concentrations, loads, and yields in streams in the Sacramento, San Joaquin, and Santa Ana Basins, California, 1975-2004","interactions":[],"lastModifiedDate":"2022-12-09T21:44:56.698484","indexId":"sir20105228","displayToPublicDate":"2011-03-30T00:00:00","publicationYear":"2011","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":"2010-5228","title":"Trends in nutrient concentrations, loads, and yields in streams in the Sacramento, San Joaquin, and Santa Ana Basins, California, 1975-2004","docAbstract":"A comprehensive database was assembled for the Sacramento, San Joaquin, and Santa Ana Basins in California on nutrient concentrations, flows, and point and nonpoint sources of nutrients for 1975-2004. Most of the data on nutrient concentrations (nitrate, ammonia, total nitrogen, orthophosphate, and total phosphorus) were from the U.S. Geological Survey's National Water Information System database (35.2 percent), the California Department of Water Resources (21.9 percent), the University of California at Davis (21.6 percent), and the U.S. Environmental Protection Agency's STOrage and RETrieval database (20.0 percent). Point-source discharges accounted for less than 1 percent of river flows in the Sacramento and San Joaquin Rivers, but accounted for close to 80 percent of the nonstorm flow in the Santa Ana River. Point sources accounted for 4 and 7 percent of the total nitrogen and total phosphorus loads, respectively, in the Sacramento River at Freeport for 1985-2004. Point sources accounted for 8 and 17 percent of the total nitrogen and total phosphorus loads, respectively, in the San Joaquin River near Vernalis for 1985-2004. The volume of wastewater discharged into the Santa Ana River increased almost three-fold over the study period. However, due to improvements in wastewater treatment, the total nitrogen load to the Santa Ana River from point sources in 2004 was approximately the same as in 1975 and the total phosphorus load in 2004 was less than in 1975. Nonpoint sources of nutrients estimated in this study included atmospheric deposition, fertilizer application, manure production, and tile drainage. The estimated dry deposition of nitrogen exceeded wet deposition in the Sacramento and San Joaquin Valleys and in the basin area of the Santa Ana Basin, with ratios of dry to wet deposition of 1.7, 2.8, and 9.8, respectively. Fertilizer application increased appreciably from 1987 to 2004 in all three California basins, although manure production increased in the San Joaquin Basin but decreased in the Sacramento and Santa Ana Basins from 1982 to 2002. Tile drainage accounted for 22 percent of the total nitrogen load in the San Joaquin River near Vernalis for 1985-2004. Nutrient loads and trends were calculated by using the log-linear multiple-regression model, LOADEST. Loads were calculated for water years 1975-2004 for 22 sites in the Sacramento Basin, 15 sites in the San Joaquin Basin, and 6 sites in the Santa Ana Basin. The average annual load of total nitrogen and total phosphorus for 1985-2004 in subbasins in the Sacramento and San Joaquin Basins were divided by their drainage areas to calculate average annual yield. Total nitrogen yields were greater than 2.45 tons per square mile per year [(tons/mi2)/yr] in about 61 percent of the valley floor in the San Joaquin Basin compared with only about 12 percent of the valley floor in the Sacramento Basin. Total phosphorus yields were greater than 0.34 (tons/mi2)/yr in about 43 percent of the valley floor in the San Joaquin Basin compared with only about 5 percent in the valley floor of the Sacramento Basin. In a stepwise multiple linear-regression analysis of 30 subbasins in the Sacramento and San Joaquin Basins, the most important explanatory variables (out of 11 variables) for the response variable (total nitrogen yield) were the percentage of land use in (1) orchards and vineyards, (2) row crops, and (3) urban categories. For total phosphorus yield, the most important explanatory variable was the amount of fertilizer application plus manure production. Trends were evaluated for three time periods: 1975-2004, 1985-2004, and 1993-2004. Most trends in flow-adjusted concentrations of nutrients in the Sacramento Basin were downward for all three time periods. The decreasing nutrient trends in the American River at Sacramento and the Sacramento River at Freeport for 1975-2004 were attributed to the consolidation of wastewater in the Sacramento metropolitan area in December 1982 to","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105228","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Kratzer, C.R., Kent, R., Seleh, D.K., Knifong, D.L., Dileanis, P.D., and Orlando, J., 2011, Trends in nutrient concentrations, loads, and yields in streams in the Sacramento, San Joaquin, and Santa Ana Basins, California, 1975-2004: U.S. Geological Survey Scientific Investigations Report 2010-5228, xii, 112p., https://doi.org/10.3133/sir20105228.","productDescription":"xii, 112p.","numberOfPages":"112","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":116267,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5228.jpg"},{"id":410239,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95083.htm","linkFileType":{"id":5,"text":"html"}},{"id":19234,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5228/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Sacramento, San Joaquin, and Santa Ana Basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.0667,\n              36.75\n            ],\n            [\n              -123.0667,\n              41.7333\n            ],\n            [\n              -119.25,\n              41.7333\n            ],\n            [\n              -119.25,\n              36.75\n            ],\n            [\n              -123.0667,\n              36.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4d6f","contributors":{"authors":[{"text":"Kratzer, Charles R.","contributorId":30619,"corporation":false,"usgs":true,"family":"Kratzer","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":344453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kent, Robert 0000-0003-4174-9467 rhkent@usgs.gov","orcid":"https://orcid.org/0000-0003-4174-9467","contributorId":1445,"corporation":false,"usgs":true,"family":"Kent","given":"Robert","email":"rhkent@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":344451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seleh, Dina K.","contributorId":50275,"corporation":false,"usgs":true,"family":"Seleh","given":"Dina","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":344454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knifong, Donna L. dknifong@usgs.gov","contributorId":1517,"corporation":false,"usgs":true,"family":"Knifong","given":"Donna","email":"dknifong@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":344452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dileanis, Peter D. dileanis@usgs.gov","contributorId":71541,"corporation":false,"usgs":true,"family":"Dileanis","given":"Peter","email":"dileanis@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":344455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":344456,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":99130,"text":"ofr20111069 - 2011 - Mines and mineral processing facilities in the vicinity of the March 11, 2011, earthquake in northern Honshu, Japan","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ofr20111069","displayToPublicDate":"2011-03-29T00:00:00","publicationYear":"2011","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":"2011-1069","title":"Mines and mineral processing facilities in the vicinity of the March 11, 2011, earthquake in northern Honshu, Japan","docAbstract":"U.S. Geological Survey data indicate that the area affected by the March 11, 2011, magnitude 9.0 earthquake and associated tsunami is home to nine cement plants, eight iodine plants, four iron and steel plants, four limestone mines, three copper refineries, two gold refineries, two lead refineries, two zinc refineries, one titanium dioxide plant, and one titanium sponge processing facility. These facilities have the capacity to produce the following percentages of the world's nonfuel mineral production: 25 percent of iodine, 10 percent of titanium sponge (metal), 3 percent of refined zinc, 2.5 percent of refined copper, and 1.4 percent of steel. In addition, the nine cement plants contribute about one-third of Japan's cement annual production. The iodine is a byproduct from production of natural gas at the Miniami Kanto gas field, east of Tokyo in Chiba Prefecture. Japan is the world's second leading (after Chile) producer of iodine, which is processed in seven nearby facilities. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111069","usgsCitation":"Menzie, W.D., Baker, M.S., Bleiwas, D.I., and Kuo, C., 2011, Mines and mineral processing facilities in the vicinity of the March 11, 2011, earthquake in northern Honshu, Japan: U.S. Geological Survey Open-File Report 2011-1069, iii, 7 p., https://doi.org/10.3133/ofr20111069.","productDescription":"iii, 7 p.","additionalOnlineFiles":"N","costCenters":[{"id":261,"text":"Energy and Minerals and Environmental Health","active":false,"usgs":true}],"links":[{"id":116957,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1069.gif"},{"id":14579,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1069/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 141,35 ], [ 141,40 ], [ 139,40 ], [ 139,35 ], [ 141,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699d87","contributors":{"authors":[{"text":"Menzie, W. David","contributorId":15645,"corporation":false,"usgs":true,"family":"Menzie","given":"W.","email":"","middleInitial":"David","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":307651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Michael S. 0000-0003-2507-3436 mbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-2507-3436","contributorId":50481,"corporation":false,"usgs":true,"family":"Baker","given":"Michael","email":"mbaker@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":307652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bleiwas, Donald I. bleiwas@usgs.gov","contributorId":1434,"corporation":false,"usgs":true,"family":"Bleiwas","given":"Donald","email":"bleiwas@usgs.gov","middleInitial":"I.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":307650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuo, Chin","contributorId":86086,"corporation":false,"usgs":true,"family":"Kuo","given":"Chin","affiliations":[],"preferred":false,"id":307653,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":99133,"text":"ds573 - 2011 - Tillage practices in the conterminous United States, 1989-2004: Datasets aggregated by watershed","interactions":[],"lastModifiedDate":"2022-07-19T19:09:50.82379","indexId":"ds573","displayToPublicDate":"2011-03-29T00:00:00","publicationYear":"2011","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":"573","title":"Tillage practices in the conterminous United States, 1989-2004: Datasets aggregated by watershed","docAbstract":"This report documents the methods used to aggregate county-level tillage practices to the 8-digit hydrologic unit (HU) watershed. The original county-level data were collected by the Conservation Technology Information Center (CTIC). The CTIC collects tillage data by conducting surveys about tillage systems for all counties in the United States. Tillage systems include three types of conservation tillage (no-till, ridge-till, and mulch-till), reduced tillage, and intensive tillage. Total planted acreage for each tillage practice for each crop grown is reported to the CTIC. The dataset includes total planted acreage by tillage type for selected crops (corn, cotton, grain sorghum, soybeans, fallow, forage, newly established permanent pasture, spring and fall seeded small grains, and 'other' crops) for 1989-2004. Two tabular datasets, based on the 1992 enhanced and 2001 National Land Cover Data (NLCD), are provided as part of this report and include the land-cover area-weighted interpolation and aggregation of acreage for each tillage practice in each 8-digit HU watershed in the conterminous United States for each crop. Watershed aggregations were done by overlying the 8-digit HU polygons with a raster of county boundaries and a raster of either the enhanced 1992 or the 2001 NLCD for cultivated land to derive a county/land-cover area weighting factor. The weighting factor then was applied to the county-level tillage data for the counties within each 8-digit HU and summed to yield the total acreage of each tillage type within each 8-digit HU watershed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds573","collaboration":"National Water-Quality Assessment ProgramPrepared in cooperation with the Conservation Technology Information Center","usgsCitation":"Baker, N.T., 2011, Tillage practices in the conterminous United States, 1989-2004: Datasets aggregated by watershed: U.S. Geological Survey Data Series 573, Report: iv, 12 p.; 3 Appendices, https://doi.org/10.3133/ds573.","productDescription":"Report: iv, 12 p.; 3 Appendices","additionalOnlineFiles":"Y","temporalStart":"1989-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":346,"text":"Indiana Water Science 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,{"id":70207949,"text":"70207949 - 2011 - Baseline ecological risk assessment of the Calcasieu Estuary, Louisiana: Part 2. An evaluation of the predictive ability of effects-based sediment-quality guidelines","interactions":[],"lastModifiedDate":"2020-01-21T08:04:08","indexId":"70207949","displayToPublicDate":"2011-03-26T08:00:25","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Baseline ecological risk assessment of the Calcasieu Estuary, Louisiana: Part 2. An evaluation of the predictive ability of effects-based sediment-quality guidelines","docAbstract":"<p class=\"Para\">Three sets of effects-based sediment-quality guidelines (SQGs) were evaluated to support the selection of sediment-quality benchmarks for assessing risks to benthic invertebrates in the Calcasieu Estuary, Louisiana. These SQGs included probable effect concentrations (PECs), effects range median values (ERMs), and logistic regression model (LRMs)-based T<sub>50</sub><span>&nbsp;</span>values. The results of this investigation indicate that all three sets of SQGs tend to underestimate sediment toxicity in the Calcasieu Estuary (i.e., relative to the national data sets), as evaluated using the results of 10-day toxicity tests with the amphipod,<span>&nbsp;</span><i class=\"EmphasisTypeItalic \">Hyalella azteca</i>, or<span>&nbsp;</span><i class=\"EmphasisTypeItalic \">Ampelisca abdita</i>, and 28-day whole-sediment toxicity tests with the<span>&nbsp;</span><i class=\"EmphasisTypeItalic \">H. azteca</i>. These results emphasize the importance of deriving site-specific toxicity thresholds for assessing risks to benthic invertebrates.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00244-010-9637-8","usgsCitation":"MacDonald, D.D., Ingersoll, C.G., Smorong, D., Sinclair, J., Lindskoog, R., Wang, N., Severn, C., Gouguet, R., Meyer, J., and Field, J., 2011, Baseline ecological risk assessment of the Calcasieu Estuary, Louisiana: Part 2. An evaluation of the predictive ability of effects-based sediment-quality guidelines: Archives of Environmental Contamination and Toxicology, v. 61, no. 1, p. 14-28, https://doi.org/10.1007/s00244-010-9637-8.","productDescription":"15 p.","startPage":"14","endPage":"28","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":371405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana ","otherGeospatial":"Calcasieu 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 \"}}]}","volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"MacDonald, Donald D.","contributorId":176179,"corporation":false,"usgs":false,"family":"MacDonald","given":"Donald","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":779856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":779857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smorong, Dawn","contributorId":120128,"corporation":false,"usgs":true,"family":"Smorong","given":"Dawn","affiliations":[],"preferred":false,"id":779858,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sinclair, Jesse A.","contributorId":66967,"corporation":false,"usgs":true,"family":"Sinclair","given":"Jesse A.","affiliations":[],"preferred":false,"id":779859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindskoog, Rebekka","contributorId":27321,"corporation":false,"usgs":true,"family":"Lindskoog","given":"Rebekka","email":"","affiliations":[],"preferred":false,"id":779860,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":779861,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Severn, Corrine","contributorId":40080,"corporation":false,"usgs":true,"family":"Severn","given":"Corrine","email":"","affiliations":[],"preferred":false,"id":779862,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gouguet, Ron","contributorId":103777,"corporation":false,"usgs":true,"family":"Gouguet","given":"Ron","email":"","affiliations":[],"preferred":false,"id":779863,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meyer, John","contributorId":36265,"corporation":false,"usgs":true,"family":"Meyer","given":"John","affiliations":[],"preferred":false,"id":779864,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Field, Jay","contributorId":80963,"corporation":false,"usgs":true,"family":"Field","given":"Jay","email":"","affiliations":[],"preferred":false,"id":779865,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":99129,"text":"sir20115025 - 2011 - Three-dimensional geologic model of the southeastern Espanola Basin, Santa Fe County, New Mexico","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"sir20115025","displayToPublicDate":"2011-03-26T00:00:00","publicationYear":"2011","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":"2011-5025","title":"Three-dimensional geologic model of the southeastern Espanola Basin, Santa Fe County, New Mexico","docAbstract":"This multimedia model and report show and describe digital three-dimensional faulted surfaces and volumes of lithologic units that confine and constrain the basin-fill aquifers within the Espanola Basin of north-central New Mexico. These aquifers are the primary groundwater resource for the cities of Santa Fe and Espanola, six Pueblo nations, and the surrounding areas. The model presented in this report is a synthesis of geologic information that includes (1) aeromagnetic and gravity data and seismic cross sections; (2) lithologic descriptions, interpretations, and geophysical logs from selected drill holes; (3) geologic maps, geologic cross sections, and interpretations; and (4) mapped faults and interpreted faults from geophysical data. Modeled faults individually or collectively affect the continuity of the rocks that contain the basin aquifers; they also help define the form of this rift basin. Structure, trend, and dip data not previously published were added; these structures are derived from interpretations of geophysical information and recent field observations. Where possible, data were compared and validated and reflect the complex relations of structures in this part of the Rio Grande rift.\r\n\r\nThis interactive geologic framework model can be used as a tool to visually explore and study geologic structures within the Espanola Basin, to show the connectivity of geologic units of high and low permeability between and across faults, and to show approximate dips of the lithologic units. The viewing software can be used to display other data and information, such as drill-hole data, within this geologic framework model in three-dimensional space.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115025","usgsCitation":"Pantea, M.P., Hudson, M., Grauch, V.J., and Minor, S.A., 2011, Three-dimensional geologic model of the southeastern Espanola Basin, Santa Fe County, New Mexico: U.S. Geological Survey Scientific Investigations Report 2011-5025, iii, 18 p., https://doi.org/10.3133/sir20115025.","productDescription":"iii, 18 p.","additionalOnlineFiles":"Y","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":116200,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5025.png"},{"id":14578,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5025/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,35 ], [ -109,38 ], [ -105,38 ], [ -105,35 ], [ -109,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b88b","contributors":{"authors":[{"text":"Pantea, Michael P. mpantea@usgs.gov","contributorId":1549,"corporation":false,"usgs":true,"family":"Pantea","given":"Michael","email":"mpantea@usgs.gov","middleInitial":"P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":307648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":307647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grauch, V. J. S. 0000-0002-0761-3489","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":34125,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"","middleInitial":"J. S.","affiliations":[],"preferred":false,"id":307649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minor, Scott A. 0000-0002-6976-9235 sminor@usgs.gov","orcid":"https://orcid.org/0000-0002-6976-9235","contributorId":765,"corporation":false,"usgs":true,"family":"Minor","given":"Scott","email":"sminor@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":307646,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":99127,"text":"sir20105260 - 2011 - Regional skew for California, and flood frequency for selected sites in the Sacramento-San Joaquin River Basin, based on data through water year 2006","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"sir20105260","displayToPublicDate":"2011-03-25T00:00:00","publicationYear":"2011","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":"2010-5260","title":"Regional skew for California, and flood frequency for selected sites in the Sacramento-San Joaquin River Basin, based on data through water year 2006","docAbstract":"Improved flood-frequency information is important throughout California in general and in the Sacramento-San Joaquin River Basin in particular, because of an extensive network of flood-control levees and the risk of catastrophic flooding. A key first step in updating flood-frequency information is determining regional skew. A Bayesian generalized least squares (GLS) regression method was used to derive a regional-skew model based on annual peak-discharge data for 158 long-term (30 or more years of record) stations throughout most of California. The desert areas in southeastern California had too few long-term stations to reliably determine regional skew for that hydrologically distinct region; therefore, the desert areas were excluded from the regional skew analysis for California. Of the 158 long-term stations used to determine regional skew, 145 have minimally regulated annual-peak discharges, and 13 stations are dam sites for which unregulated peak discharges were estimated from unregulated daily maximum discharge data furnished by the U.S. Army Corp of Engineers. Station skew was determined by using an expected moments algorithm (EMA) program for fitting the Pearson Type 3 flood-frequency distribution to the logarithms of annual peak-discharge data.\r\n\r\nThe Bayesian GLS regression method previously developed was modified because of the large cross correlations among concurrent recorded peak discharges in California and the use of censored data and historical flood information with the new expected moments algorithm. In particular, to properly account for these cross-correlation problems and develop a suitable regression model and regression diagnostics, a combination of Bayesian weighted least squares and generalized least squares regression was adopted. This new methodology identified a nonlinear function relating regional skew to mean basin elevation. The regional skew values ranged from -0.62 for a mean basin elevation of zero to 0.61 for a mean basin elevation of 11,000 feet. This relation between skew and elevation reflects the interaction of snow with rain, which increases with increased elevation. The equivalent record length for the new regional skew ranges from 52 to 65 years of record, depending upon mean basin elevation. The old regional skew map in Bulletin 17B, published by the Hydrology Subcommittee of the Interagency Advisory Committee on Water Data (1982), reported an equivalent record length of only 17 years.\r\n\r\nThe newly developed regional skew relation for California was used to update flood frequency for the 158 sites used in the regional skew analysis as well as 206 selected sites in the Sacramento-San Joaquin River Basin. For these sites, annual-peak discharges having recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years were determined on the basis of data through water year 2006. The expected moments algorithm was used for determining the magnitude and frequency of floods at gaged sites by using regional skew values and using the basic approach outlined in Bulletin \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105260","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency, the U.S. Army Corps of Engineers, and the U.S. Forest Service\r\n","usgsCitation":"Parrett, C., Veilleux, A., Stedinger, J., Barth, N., Knifong, D.L., and Ferris, J., 2011, Regional skew for California, and flood frequency for selected sites in the Sacramento-San Joaquin River Basin, based on data through water year 2006: U.S. Geological Survey Scientific Investigations Report 2010-5260, vi, 40 p.; Appendices, https://doi.org/10.3133/sir20105260.","productDescription":"vi, 40 p.; Appendices","temporalStart":"2005-10-01","temporalEnd":"2006-09-30","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":116933,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5260.jpg"},{"id":14576,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5260/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.5,38 ], [ -124.5,42 ], [ -120,42 ], [ -120,38 ], [ -124.5,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a60e4b07f02db634e37","contributors":{"authors":[{"text":"Parrett, Charles","contributorId":9635,"corporation":false,"usgs":true,"family":"Parrett","given":"Charles","email":"","affiliations":[],"preferred":false,"id":307637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Veilleux, Andrea","contributorId":65212,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","affiliations":[],"preferred":false,"id":307640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stedinger, J.R.","contributorId":90733,"corporation":false,"usgs":true,"family":"Stedinger","given":"J.R.","affiliations":[],"preferred":false,"id":307641,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barth, N.A.","contributorId":31512,"corporation":false,"usgs":true,"family":"Barth","given":"N.A.","email":"","affiliations":[],"preferred":false,"id":307639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knifong, Donna L. dknifong@usgs.gov","contributorId":1517,"corporation":false,"usgs":true,"family":"Knifong","given":"Donna","email":"dknifong@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":307636,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferris, J.C.","contributorId":13731,"corporation":false,"usgs":true,"family":"Ferris","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":307638,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":99120,"text":"ds575 - 2011 - Endocrine active chemicals, pharmaceuticals, and other chemicals of concern in surface water, wastewater-treatment plant effluent, and bed sediment, and biological characteristics in selected streams, Minnesota: Design, methods, and data, 2009","interactions":[],"lastModifiedDate":"2024-01-16T20:53:40.339098","indexId":"ds575","displayToPublicDate":"2011-03-25T00:00:00","publicationYear":"2011","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":"575","title":"Endocrine active chemicals, pharmaceuticals, and other chemicals of concern in surface water, wastewater-treatment plant effluent, and bed sediment, and biological characteristics in selected streams, Minnesota: Design, methods, and data, 2009","docAbstract":"This report presents the study design, environmental data, and quality-assurance data for an integrated chemical and biological study of selected streams or lakes that receive wastewater-treatment plant effluent in Minnesota. This study was a cooperative effort of the U.S. Geological Survey, the Minnesota Pollution Control Agency, St. Cloud State University, the University of St. Thomas, and the University of Colorado. The objective of the study was to identify distribution patterns of endocrine active chemicals, pharmaceuticals, and other organic and inorganic chemicals of concern indicative of wastewater effluent, and to identify biological characteristics of estrogenicity and fish responses in the same streams.\r\n\r\nThe U.S. Geological Survey collected and analyzed water, bed-sediment, and quality-assurance samples, and measured or recorded streamflow once at each sampling location from September through November 2009. Sampling locations included surface water and wastewater-treatment plant effluent. Twenty-five wastewater-treatment plants were selected to include continuous flow and periodic release facilities with differing processing steps (activated sludge or trickling filters) and plant design flows ranging from 0.002 to 10.9 cubic meters per second (0.04 to 251 million gallons per day) throughout Minnesota in varying land-use settings. Water samples were collected from the treated effluent of the 25 wastewater-treatment plants and at one point upstream from and one point downstream from wastewater-treatment plant effluent discharges. Bed-sediment samples also were collected at each of the stream or lake locations. Water samples were analyzed for major ions, nutrients, trace elements, pharmaceuticals, phytoestrogens and pharmaceuticals, alkylphenols and other neutral organic chemicals, carboxylic acids, and steroidal hormones. A subset (25 samples) of the bed-sediment samples were analyzed for carbon, wastewater-indicator chemicals, and steroidal hormones; the remaining samples were archived.\r\n\r\nBiological characteristics were determined by using an in-vitro bioassay to determine total estrogenicity in water samples and a caged fish study to determine characteristics of fish from experiments that exposed fish to wastewater effluent in 2009. St. Cloud State University deployed and processed caged fathead minnows at 13 stream sites during September 2009 for the caged fish study. Measured fish data included length, weight, body condition factor, and vitellogenin concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds575","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency, St. Cloud State University, University of St. Thomas, and the University of Colorado","usgsCitation":"Lee, K., Langer, S.K., Barber, L.B., Writer, J.H., Ferrey, M.L., Schoenfuss, H.L., Furlong, E.T., Foreman, W., Gray, J.L., ReVello, R., Martinovic, D., Woodruff, O.R., Keefe, S.H., Brown, G.K., Taylor, H.E., Ferrer, I., and Thurman, E.M., 2011, Endocrine active chemicals, pharmaceuticals, and other chemicals of concern in surface water, wastewater-treatment plant effluent, and bed sediment, and biological characteristics in selected streams, Minnesota: Design, methods, and data, 2009: U.S. Geological Survey Data Series 575, x, 49 p., https://doi.org/10.3133/ds575.","productDescription":"x, 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