{"pageNumber":"1899","pageRowStart":"47450","pageSize":"25","recordCount":184582,"records":[{"id":98528,"text":"ofr20101152 - 2010 - Program and abstracts of the Second Tsunami Source Workshop; July 19-20, 2010","interactions":[],"lastModifiedDate":"2019-07-17T16:33:27","indexId":"ofr20101152","displayToPublicDate":"2010-07-20T00:00:00","publicationYear":"2010","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":"2010-1152","title":"Program and abstracts of the Second Tsunami Source Workshop; July 19-20, 2010","docAbstract":"In response to a request by the National Oceanic and Atmospheric Administration (NOAA) for computing tsunami propagations in the western Pacific, Eric Geist asked Willie Lee for assistance in providing parameters of earthquakes which may be future tsunami sources. The U.S. Geological Survey (USGS) Tsunami Source Working Group (TSWG) was initiated in August 2005. An ad hoc group of diverse expertise was formed, with Steve Kirby as the leader. The founding members are: Rick Blakely, Eric Geist, Steve Kirby, Willie Lee, George Plafker, Dave Scholl, Roland von Huene, and Ray Wells. Half of the founding members are USGS emeritus scientists. \r\n\r\nA report was quickly completed because of NOAA's urgent need to precalculate tsunami propagation paths for early warning purposes. \r\n\r\nIt was clear to the group that much more work needed to be done to improve our knowledge about tsunami sources worldwide. The group therefore started an informal research program on tsunami sources and meets irregularly to share ideas, data, and results. Because our group activities are open to anyone, we have more participants now, including, for example, Harley Benz and George Choy (USGS, Golden, Colo.), Holly Ryan and Stephanie Ross (USGS, Menlo Park, Calif.), Hiroo Kanamori (Caltech), Emile Okal (Northwestern University), and Gerard Fryer and Barry Hirshorn (Pacific Tsunami Warning Center, Hawaii). \r\n\r\nTo celebrate the fifth anniversary of the TSWG, a workshop is being held in the Auditorium of Building 3, USGS, Menlo Park, on July 19-20, 2010 (Willie Lee and Steve Kirby, Conveners). All talks (except one) will be video broadcast. The first tsunami source workshop was held in April 2006 with about 100 participants from many institutions. This second workshop (on a much smaller scale) will be devoted primarily to recent work by the USGS members. In addition, Hiroo Kanamori (Caltech) will present his recent work on the 1960 and 2010 Chile earthquakes, Barry Hirshorn and Stuart Weinstein (Pacific Tsunami Warning Center) will present their work on tsunami warning, and Rick Wilson (California Geological Survey) will display three posters on tsunami studies by him and his colleagues. \r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101152","collaboration":"USGS Tsunami Source Working Group (TSWG)","usgsCitation":"Lee, W., Kirby, S.H., and Diggles, M.F., 2010, Program and abstracts of the Second Tsunami Source Workshop; July 19-20, 2010: U.S. Geological Survey Open-File Report 2010-1152, iv, 31 p., https://doi.org/10.3133/ofr20101152.","productDescription":"iv, 31 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-07-19","temporalEnd":"2010-07-20","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":125700,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1152.jpg"},{"id":13918,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1152/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65e166","contributors":{"authors":[{"text":"Lee, W.H.K. (compiler)","contributorId":79599,"corporation":false,"usgs":true,"family":"Lee","given":"W.H.K.","suffix":"(compiler)","email":"","affiliations":[],"preferred":false,"id":305646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirby, S. H.","contributorId":51721,"corporation":false,"usgs":true,"family":"Kirby","given":"S.","middleInitial":"H.","affiliations":[],"preferred":false,"id":305645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diggles, M. F.","contributorId":39356,"corporation":false,"usgs":true,"family":"Diggles","given":"M.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":305644,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98526,"text":"ofr20101129 - 2010 - Digital tabulation of stratigraphic data from oil and gas wells in the Santa Maria Basin and surrounding areas, central California coast","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ofr20101129","displayToPublicDate":"2010-07-17T00:00:00","publicationYear":"2010","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":"2010-1129","title":"Digital tabulation of stratigraphic data from oil and gas wells in the Santa Maria Basin and surrounding areas, central California coast","docAbstract":"Stratigraphic information from 694 oil and gas exploration wells from the onshore Santa Maria basin and surrounding areas are herein compiled in digital form from reports that were released originally in paper form. The Santa Maria basin is located within the southwesternmost part of the Coast Ranges and north of the western Transverse Ranges on the central California coast. Knowledge of the location and elevation of stratigraphic tops of formations throughout the basin is a first step toward understanding depositional trends and the structural evolution of the basin through time.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101129","usgsCitation":"Sweetkind, D., Tennyson, M., Langenheim, V., and Shumaker, L., 2010, Digital tabulation of stratigraphic data from oil and gas wells in the Santa Maria Basin and surrounding areas, central California coast: U.S. Geological Survey Open-File Report 2010-1129, iv, 11 p.; Downloads Directory, https://doi.org/10.3133/ofr20101129.","productDescription":"iv, 11 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":266,"text":"Environmental Resources Science Center","active":false,"usgs":true}],"links":[{"id":118489,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1129.jpg"},{"id":13916,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1129/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121,34.5 ], [ -121,35.333333333333336 ], [ -119.66666666666667,35.333333333333336 ], [ -119.66666666666667,34.5 ], [ -121,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a93e4b07f02db6581f0","contributors":{"authors":[{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":305638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":1433,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","email":"tennyson@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":305636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":1526,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":305637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shumaker, Lauren E.","contributorId":99666,"corporation":false,"usgs":true,"family":"Shumaker","given":"Lauren E.","affiliations":[],"preferred":false,"id":305639,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98524,"text":"ltrmp2008T002 - 2010 - Status and trends of selected resources in the Upper Mississippi River System","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ltrmp2008T002","displayToPublicDate":"2010-07-17T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":44,"text":"Long Term Resource Monitoring Program Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2008-T002","title":"Status and trends of selected resources in the Upper Mississippi River System","docAbstract":"Like other large rivers, the Upper Mississippi River System (UMRS) serves a diversity of roles. The UMRS provides commercial and recreational fishing, floodplain agriculture, drinking water for many communities, an important bird migration pathway, a variety of recreational activities, and a navigation system that transports much of the country's agricultural exports. These multiple roles present significant management challenges. Regular assessment of the condition of the river is needed to improve management plans and evaluate their effectiveness. This report provides a summary of the recent status (mean and range of conditions) and trends (change in direction over time) for 24 indicators of the ecological condition of the Upper Mississippi and Illinois Rivers using data collected through the Long Term Resource Monitoring Program (LTRMP). The 24 indicators were grouped into seven categories: hydrology, sedimentation, water quality, land cover, aquatic vegetation, invertebrates, and fish. Most of the data used in the report were collected between about 1993 and 2004, although some older data were also used to compare to recent conditions.Historical observations and current LTRMP data clearly indicate that the UMRS has been changed by human activity in ways that have diminished the ecological health of the river. The data indicate that status and trends differ among regions, and we expect that regional responses to various ecological rehabilitation techniques will differ as well. The continuing role of the LTRMP will be to provide the data needed to assess changes in river conditions and to determine how those changes relate to management actions, natural variation, and the overall ecological integrity of the river system.","language":"ENGLISH","publisher":"U.S. Geological Survey","collaboration":"A product of the Long Term Resource Monitoring Program in cooperation with the U.S. Army Corps of Engineers, Rock Island District","usgsCitation":"2010, Status and trends of selected resources in the Upper Mississippi River System: Long Term Resource Monitoring Program Technical Report 2008-T002, vi, 101 p.; Appendices.","productDescription":"vi, 101 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":116007,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ltrmp_2008_t002.jpg"},{"id":13914,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/mis/LTRMP2008-T002/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d8e4b07f02db5df87e","contributors":{"editors":[{"text":"Johnson, Barry L. bljohnson@usgs.gov","contributorId":608,"corporation":false,"usgs":true,"family":"Johnson","given":"Barry","email":"bljohnson@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":505754,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hagerty, Karen H.","contributorId":113500,"corporation":false,"usgs":true,"family":"Hagerty","given":"Karen","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":505755,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":98525,"text":"ltrmp2010T001 - 2010 - Evaluation of light penetration on Navigation Pools 8 and 13 of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ltrmp2010T001","displayToPublicDate":"2010-07-17T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":44,"text":"Long Term Resource Monitoring Program Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2010-T001","title":"Evaluation of light penetration on Navigation Pools 8 and 13 of the Upper Mississippi River","docAbstract":"The availability of light can have a dramatic affect on macrophyte and phytoplankton abundance in virtually all aquatic ecosystems. The Long Term Resource Monitoring Program and other monitoring programs often measure factors that affect light extinction (nonvolatile suspended solids, volatile suspended solids, and chlorophyll) and correlates of light extinction (turbidity and Secchi depth), but rarely do they directly measure light extinction. Data on light extinction, Secchi depth, transparency tube, turbidity, total suspended solids, and volatile suspended solids were collected during summer 2003 on Pools 8 and 13 of the Upper Mississippi River. Regressions were developed to predict light extinction based upon Secchi depth, transparency tube, turbidity, and total suspended solids. Transparency tube, Secchi depth, and turbidity all showed strong relations with light extinction and can effectively predict light extinction. Total suspended solids did not show as strong a relation to light extinction. Volatile suspended solids had a greater affect on light extinction than nonvolatile suspended solids. The data were compared to recommended criteria established for light extinction, Secchi depth, total suspended solids, and turbidity by the Upper Mississippi River Conservation Committee to sustain submersed aquatic vegetation in the Upper Mississippi River. During the study period, the average condition in Pool 8 met or exceeded all of the criteria whereas the average condition in Pool 13 failed to meet any of the criteria. This report provides river managers with an effective tool to predict light extinction based upon readily available data.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","collaboration":"A product of the Long Term Resource Monitoring Program in cooperation with the U.S. Army Corps of Engineers, Rock Island District","usgsCitation":"Giblin, S., Hoff, K., Fischer, J., and Dukerschein, T., 2010, Evaluation of light penetration on Navigation Pools 8 and 13 of the Upper Mississippi River: Long Term Resource Monitoring Program Technical Report 2010-T001, vi, 16 p.","productDescription":"vi, 16 p.","additionalOnlineFiles":"N","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":116006,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ltrmp_2010_t001.jpg"},{"id":13915,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/mis/LTRMP2010-T001/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e482ae4b07f02db4e7595","contributors":{"authors":[{"text":"Giblin, Shawn","contributorId":89649,"corporation":false,"usgs":true,"family":"Giblin","given":"Shawn","affiliations":[],"preferred":false,"id":305635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoff, Kraig","contributorId":63927,"corporation":false,"usgs":true,"family":"Hoff","given":"Kraig","email":"","affiliations":[],"preferred":false,"id":305634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischer, Jim","contributorId":27173,"corporation":false,"usgs":true,"family":"Fischer","given":"Jim","email":"","affiliations":[],"preferred":false,"id":305632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dukerschein, Terry","contributorId":35862,"corporation":false,"usgs":true,"family":"Dukerschein","given":"Terry","email":"","affiliations":[],"preferred":false,"id":305633,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98522,"text":"ofr20101068 - 2010 - Practical guidelines to select and scale earthquake records for nonlinear response history analysis of structures","interactions":[],"lastModifiedDate":"2019-07-17T16:34:34","indexId":"ofr20101068","displayToPublicDate":"2010-07-17T00:00:00","publicationYear":"2010","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":"2010-1068","title":"Practical guidelines to select and scale earthquake records for nonlinear response history analysis of structures","docAbstract":" Earthquake engineering practice is increasingly using nonlinear response history analysis (RHA) to demonstrate performance of structures. This rigorous method of analysis requires selection and scaling of ground motions appropriate to design hazard levels. Presented herein is a modal-pushover-based scaling (MPS) method to scale ground motions for use in nonlinear RHA of buildings and bridges. In the MPS method, the ground motions are scaled to match (to a specified tolerance) a target value of the inelastic deformation of the first-'mode' inelastic single-degree-of-freedom (SDF) system whose properties are determined by first-'mode' pushover analysis. Appropriate for first-?mode? dominated structures, this approach is extended for structures with significant contributions of higher modes by considering elastic deformation of second-'mode' SDF system in selecting a subset of the scaled ground motions. Based on results presented for two bridges, covering single- and multi-span 'ordinary standard' bridge types, and six buildings, covering low-, mid-, and tall building types in California, the accuracy and efficiency of the MPS procedure are established and its superiority over the ASCE/SEI 7-05 scaling procedure is demonstrated. \r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101068","collaboration":"In Cooperation with the Earthquake Engineering Research Institute","usgsCitation":"Kalkan, E., and Chopra, A.K., 2010, Practical guidelines to select and scale earthquake records for nonlinear response history analysis of structures: U.S. Geological Survey Open-File Report 2010-1068, vi, 118 p.; Notations; Appendix, https://doi.org/10.3133/ofr20101068.","productDescription":"vi, 118 p.; Notations; Appendix","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":118493,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1068.jpg"},{"id":13912,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1068/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad2e4b07f02db681cbe","contributors":{"authors":[{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":305622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chopra, Anil K.","contributorId":79202,"corporation":false,"usgs":true,"family":"Chopra","given":"Anil","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":305623,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98523,"text":"ofr20101123 - 2010 - Three-dimensional geologic model of the Arbuckle-Simpson aquifer, south-central Oklahoma","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ofr20101123","displayToPublicDate":"2010-07-17T00:00:00","publicationYear":"2010","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":"2010-1123","title":"Three-dimensional geologic model of the Arbuckle-Simpson aquifer, south-central Oklahoma","docAbstract":"The Arbuckle-Simpson aquifer of south-central Oklahoma encompasses more than 850 square kilometers and is the principal water resource for south-central Oklahoma. Rock units comprising the aquifer are characterized by limestone, dolomite, and sandstones assigned to two lower Paleozoic units: the Arbuckle and Simpson Groups. Also considered to be part of the aquifer is the underlying Cambrian-age Timbered Hills Group that contains limestone and sandstone. The highly faulted and fractured nature of the Arbuckle-Simpson units and the variable thickness (600 to 2,750 meters) increases the complexity in determining the subsurface geologic framework of this aquifer. \r\n\r\nA three-dimensional EarthVision (Trademark) geologic framework model was constructed to quantify the geometric relationships of the rock units of the Arbuckle-Simpson aquifer in the Hunton anticline area. This 3-D EarthVision (Trademark) geologic framework model incorporates 54 faults and four modeled units: basement, Arbuckle-Timbered Hills Group, Simpson Group, and post-Simpson. Primary data used to define the model's 54 faults and four modeled surfaces were obtained from geophysical logs, cores, and cuttings from 126 water and petroleum wells. The 3-D framework model both depicts the volumetric extent of the aquifer and provides the stratigraphic layer thickness and elevation data used to construct a MODFLOW version 2000 regional groundwater-flow model.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101123","collaboration":"Prepared in cooperation with Oklahoma State University and the Oklahoma Water Resources Board","usgsCitation":"Faith, J.R., Blome, C.D., Pantea, M.P., Puckette, J.O., Halihan, T., Osborn, N., Christenson, S., and Pack, S., 2010, Three-dimensional geologic model of the Arbuckle-Simpson aquifer, south-central Oklahoma: U.S. Geological Survey Open-File Report 2010-1123, Report: iii, 26 p.; CD-ROM; Downloads Directory, https://doi.org/10.3133/ofr20101123.","productDescription":"Report: iii, 26 p.; CD-ROM; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":263,"text":"Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":118487,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1123.jpg"},{"id":13913,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1123/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.33333333333333,34.166666666666664 ], [ -97.33333333333333,34.666666666666664 ], [ -96.33333333333333,34.666666666666664 ], [ -96.33333333333333,34.166666666666664 ], [ -97.33333333333333,34.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5f9d2a","contributors":{"authors":[{"text":"Faith, Jason R.","contributorId":92758,"corporation":false,"usgs":true,"family":"Faith","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":305630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":305625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Puckette, James O.","contributorId":60349,"corporation":false,"usgs":true,"family":"Puckette","given":"James","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":305628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halihan, Todd","contributorId":68856,"corporation":false,"usgs":true,"family":"Halihan","given":"Todd","affiliations":[],"preferred":false,"id":305629,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osborn, Noel","contributorId":102975,"corporation":false,"usgs":true,"family":"Osborn","given":"Noel","affiliations":[],"preferred":false,"id":305631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Christenson, Scott","contributorId":59128,"corporation":false,"usgs":true,"family":"Christenson","given":"Scott","affiliations":[],"preferred":false,"id":305627,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pack, Skip","contributorId":33809,"corporation":false,"usgs":true,"family":"Pack","given":"Skip","email":"","affiliations":[],"preferred":false,"id":305626,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":98519,"text":"sim3116 - 2010 - Geologic map of the Lakshmi Planum quadrangle (V-7), Venus","interactions":[],"lastModifiedDate":"2019-12-30T16:09:33","indexId":"sim3116","displayToPublicDate":"2010-07-17T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3116","title":"Geologic map of the Lakshmi Planum quadrangle (V-7), Venus","docAbstract":"The Lakshmi Planum quadrangle is in the northern hemisphere of Venus and extends from lat 50 degrees to 75 degrees N., and from long 300 degrees to 360 degrees E. The elevated volcanic plateau of Lakshmi Planum, which represents a very specific and unique class of highlands on Venus, dominates the northern half of the quadrangle. The surface of the planum stands 3-4 km above mean planetary radius and the plateau is surrounded by the highest Venusian mountain ranges, 7-10 km high. \r\n\r\nBefore the Magellan mission, the geology of the Lakshmi Planum quadrangle was known on the basis of topographic data acquired by the Pioneer-Venus and Venera-15/16 altimeter and radar images received by the Arecibo telescope and Venera-15/16 spacecraft. These data showed unique topographic and morphologic structures of the mountain belts, which have no counterparts elsewhere on Venus, and the interior volcanic plateau with two large and low volcanic centers and large blocks of tessera-like terrain. From the outside, Lakshmi Planum is outlined by a zone of complexly deformed terrains that occur on the regional outer slope of Lakshmi. Vast low-lying plains surround this zone. After acquisition of the Venera-15/16 data, two classes of hypotheses were formulated to explain the unique structure of Lakshmi Planum and its surrounding. The first proposed that the western portion of Ishtar Terra, dominated by Lakshmi Planum, was a site of large-scale upwelling while the alternative hypothesis considered this region as a site of large-scale downwelling and underthrusting. \r\n\r\nEarly Magellan results showed important details of the general geology of this area displayed in the Venera-15/16 images. Swarms of extensional structures and massifs of tesserae populate the southern slope of Lakshmi. The zone of fractures and grabens form a giant arc thousands of kilometers long and hundreds of kilometers wide around the southern flank of Lakshmi Planum. From the north, the deformational zones consist mostly of contractional structures such as ridges. Corona and corona-like structures are not typical features of this zone but occur within separate branches of extensional structures oriented radial to the edge of Lakshmi. The southeastern edge of Lakshmi appears to be the source of large volcanic flows that extend to the south toward the lowland areas of Sedna Planitia. Colette and Sacajawea Paterae in the interior of Lakshmi are low volcanic centers with very deep central depressions. Lava flows sourced by Colette and Sacajawea form distinctive radial patterns around these volcanoes. Magellan gravity data show that the northern and northeastern portions of the quadrangle, which correspond to Lakshmi Planum, represent a significant geoid anomaly with the peak value of about 90 m over Maxwell Montes at the eastern edge of the map area. Maxwell is characterized also by very high vertical gravity acceleration values (as much as 268 mGal). The lowland of Sedna Planitia to the south of Lakshmi has mostly negative geoid values (down to -40 m). \r\n\r\nThe key geological structure of the quadrangle is Lakshmi Planum, the mode of formation of which is still a major unresolved problem. The topographic configuration, gravity signature, and pattern of deformation inside Lakshmi and along its boundaries make this feature unique on Venus. Thus, geological mapping of this region allows addressing several important questions that should help to put some constraints on the existing models of Lakshmi formation. What is the sequence of events in the formation and evolution of such a unique morphologic and topographic feature? What are the characteristics of the marginal areas of Lakshmi: the compact mountain belts and broad zones of deformation in the transition zone between Lakshmi and surrounding lowlands? How do the units in Lakshmi Planum quadrangle compare with the units mapped in neighboring and distant regions of Venus and what information do they provide concerning models for Venus","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim3116","collaboration":"Prepared for the National Aeronautics and Space Administration\r\n","usgsCitation":"Ivanov, M.A., and Head, J.W., 2010, Geologic map of the Lakshmi Planum quadrangle (V-7), Venus: U.S. Geological Survey Scientific Investigations Map 3116, HTML, https://doi.org/10.3133/sim3116.","productDescription":"HTML","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":13909,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3116/","linkFileType":{"id":5,"text":"html"}},{"id":118496,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3116.jpg"}],"scale":"5000000","projection":"Lambert","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db69660f","contributors":{"authors":[{"text":"Ivanov, Mikhail A.","contributorId":25245,"corporation":false,"usgs":true,"family":"Ivanov","given":"Mikhail","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":305617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Head, James W. III","contributorId":102954,"corporation":false,"usgs":true,"family":"Head","given":"James","suffix":"III","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":305618,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98521,"text":"ofr20101079 - 2010 - Hawaiian Volcano Observatory seismic data, January to March 2009","interactions":[],"lastModifiedDate":"2016-08-29T19:13:38","indexId":"ofr20101079","displayToPublicDate":"2010-07-17T00:00:00","publicationYear":"2010","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":"2010-1079","title":"Hawaiian Volcano Observatory seismic data, January to March 2009","docAbstract":"

This U.S. Geological Survey (USGS), Hawaiian Volcano Observatory (HVO) summary presents seismic data gathered during January–March 2009. The seismic summary offers earthquake hypocenters without interpretation as a source of preliminary data and is complete in that most data for events of M≥1.5 are included. All latitude and longitude references in this report are stated in Old Hawaiian Datum.

\n

The HVO summaries have been published in various forms since 1956. Summaries prior to 1974 were issued quarterly, but cost, convenience of preparation and distribution, and the large quantities of data necessitated an annual publication, beginning with Summary 74 for the year 1974. Since 2004, summaries have been identified simply by year, rather than by summary number.

\n

Summaries originally issued as administrative reports were republished in 2007 as Open-File Reports. All the summaries since 1956 are available athttp://pubs.usgs.gov/of/2007/1316-1345/ (last accessed 02/24/2010). In January 1986, HVO adopted CUSP (California Institute of Technology USGS SeismicProcessing). Summary 86, available athttp://pubs.er.usgs.gov/usgspubs/ofr/ofr92301 (last accessed 02/24/2010), includes a description of the seismic instrumentation, calibration, and processing used in recent years. The present summary includes background information about the seismic network to provide the end user with an understanding of the processing parameters and how the data were gathered.

\n

Earthworm software, documentation available at http://folkworm.ceri.memphis.edu/ew-doc/ (last accessed 02/24/2010), was first installed at HVO in 1999 as part of an upgrade to tsunami warning capabilities in the Pacific region. This improved and expanded data exchange with the Pacific Tsunami Warning Center in Ewa Beach, Oahu, that included not only seismic waveforms, but also parametric earthquake data. Although Earthworm does included modules for earthquake triggering and earthquake location, this software was never used to generate catalog hypocenter locations at HVO.

\n

During 2009, HVO migrated from CUSP to seismic processing software developed by the California Integrated SeismicNetwork or CISN. This software is now referred to as AQMS, for Advanced National Seismic System Quake ManagementSystem. Summary data for this year will be presented in two reports; the first report includes earthquakes processed on the CUSP platform for January–March; earthquakes for the last three quarters, processed on the AQMS platform, will be published in a separate summary with a description of AQMS production parameters.

\n

A report by Klein and Koyanagi (USGS Open-File Report 80-302, 1980) tabulates instrumentation, calibration, and recording history of each seismic station in the network. It is designed as a reference for users of seismograms and phase data and includes and augments the information in the station table in this summary.

\n

Figures 11–14 are maps showing computer-located hypocenters. The maps were generated using the Generic Mapping Tools (GMT), found at http://gmt.soest.hawaii.edu/ (last accessed 01/22/2010), in place of traditional QPLOT maps.

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The Hyampom 15' quadrangle lies west of the Hayfork 15' quadrangle in the southern part of the Klamath Mountains geologic province of northern California. It spans parts of four generally northwest-trending tectono- stratigraphic terranes of the Klamath Mountains, the Eastern Hayfork, Western Hayfork, Rattlesnake Creek, and Western Jurassic terranes, as well as, in the southwest corner of the quadrangle, a small part of the Pickett Peak terrane of the Coast Range province. Remnants of the Cretaceous Great Valley overlap sequence that once covered much of the pre-Cretaceous bedrock of the quadrangle are now found only as a few small patches in the northeast corner of the quadrangle. Fluvial and lacustrine deposits of the mid-Tertiary Weaverville Formation crop out in the vicinity of the village of Hyampom. The Eastern Hayfork terrane is a broken formation and m-lange of volcanic and sedimentary rocks that include blocks of chert and limestone. The chert has not been sampled; however, chert from the same terrane in the Hayfork quadrangle contains radiolarians of Permian and Triassic ages, but none clearly of Jurassic age. Limestone at two localities contains late Paleozoic foraminifers. Some of the limestone from the Eastern Klamath terrane in the Hayfork quadrangle contains faunas of Tethyan affinity. The Western Hayfork terrane is part of an andesitic volcanic arc that was accreted to the western edge of the Eastern Hayfork terrane. It consists mainly of metavolcaniclastic andesitic agglomerate and tuff, as well as argillite and chert, and it includes the dioritic Ironside Mountain batholith that intruded during Middle Jurassic time (about 170 Ma). This intrusive body provides the principal constraint on the age of the terrane. The Rattlesnake Creek terrane is a melange consisting mostly of highly dismembered ophiolite. It includes slabs of serpentinized ultramafic rock, basaltic volcanic rocks, radiolarian chert of Triassic and Jurassic ages, limestone containing Late Triassic conodonts and Permian or Triassic foraminifers, and small exotic(?) plutons. The plutons probably are similar to ones to the southeast beyond the quadrangle boundary that yielded isotopic ages ranging from 193 Ma to 207 Ma. The Rattlesnake Creek terrane contains several areas of well- bedded sedimentary rocks (rcs) that somewhat resemble the Galice(?) Formation and may be inliers of the Western Jurassic terrane. The Western Jurassic terrane in the Hyampom quadrangle appears to consist only of a narrow tectonic sliver of slaty to semischistose detrital sedimentary rocks of the Late Jurassic Galice(?) Formation. The isotopic age of metamorphism of the rocks is about 150 Ma, which probably indicates when the terrane was accreted to the Rattlesnake Creek terrane. The Pickett Peak terrane, which is the most westerly of the succession of terranes in the Hyampom quadrangle, is the accreted eastern margin of the Coast Ranges province. It mainly consists of semischistose and schistose metagraywacke of the South Fork Mountain Schist and locally contains the blueschist-facies mineral lawsonite. Isotopic analysis indicates a metamorphic age of 120 to 115 Ma. During the Cretaceous period, much of the southern fringe of the Klamath Mountains was onlapped by sedimentary strata of the Great Valley sequence. However, much of the onlapping Cretaceous strata has since been eroded away, and in the Hyampom quadrangle only a few small remnants are found in the northeast corner near Big Bar. Near the west edge of the quadrangle, in the vicinity of the village of Hyampom, weakly consolidated fluvial and lacustrine rocks and coaly deposits of Oligocene and (or) Miocene age are present. These rocks are similar to the Weaverville Formation that occurs in separate sedimentary basins to the east in the Weaverville and Hayfork 15? quadrangles. This map of the Hyampom 15' quadrangle is a digital version of U.S. Geological Survey Miscellaneous Field Study.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3129","usgsCitation":"Irwin, W., 2010, Reconnaissance geologic map of the Hyampom 15' quadrangle, Trinity County, California: U.S. Geological Survey Scientific Investigations Map 3129, 1 Plate: 42.26 × 30.24 inches: Readme; Metadata; GIS Data Files, https://doi.org/10.3133/sim3129.","productDescription":"1 Plate: 42.26 × 30.24 inches: Readme; Metadata; GIS Data Files","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":235,"text":"Earthquake Hazards Program - Northern California","active":false,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":118490,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3129.jpg"},{"id":398787,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93531.htm"},{"id":13910,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3129/","linkFileType":{"id":5,"text":"html"}}],"scale":"50000","country":"United States","state":"California","county":"Trinity County","otherGeospatial":"Hyampom 15' quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.5,40.5 ], [ -123.5,40.75 ], [ -123.25,40.75 ], [ -123.25,40.5 ], [ -123.5,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db60407f","contributors":{"authors":[{"text":"Irwin, William P.","contributorId":12889,"corporation":false,"usgs":true,"family":"Irwin","given":"William P.","affiliations":[],"preferred":false,"id":305619,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98518,"text":"tm11C4 - 2010 - Land-Use Portfolio Modeler, Version 1.0","interactions":[],"lastModifiedDate":"2012-02-02T00:14:54","indexId":"tm11C4","displayToPublicDate":"2010-07-17T00:00:00","publicationYear":"2010","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":"11-C4","title":"Land-Use Portfolio Modeler, Version 1.0","docAbstract":"Natural hazards pose significant threats to the public safety and economic health of many communities throughout the world. Community leaders and decision-makers continually face the challenges of planning and allocating limited resources to invest in protecting their communities against catastrophic losses from natural-hazard events. Public efforts to assess community vulnerability and encourage loss-reduction measures through mitigation often focused on either aggregating site-specific estimates or adopting standards based upon broad assumptions about regional risks. The site-specific method usually provided the most accurate estimates, but was prohibitively expensive, whereas regional risk assessments were often too general to be of practical use. Policy makers lacked a systematic and quantitative method for conducting a regional-scale risk assessment of natural hazards. In response, Bernknopf and others developed the portfolio model, an intermediate-scale approach to assessing natural-hazard risks and mitigation policy alternatives. \r\n\r\nThe basis for the portfolio-model approach was inspired by financial portfolio theory, which prescribes a method of optimizing return on investment while reducing risk by diversifying investments in different security types. In this context, a security type represents a unique combination of features and hazard-risk level, while financial return is defined as the reduction in losses resulting from an investment in mitigation of chosen securities. Features are selected for mitigation and are modeled like investment portfolios. Earth-science and economic data for the features are combined and processed in order to analyze each of the portfolios, which are then used to evaluate the benefits of mitigating the risk in selected locations. Ultimately, the decision maker seeks to choose a portfolio representing a mitigation policy that maximizes the expected return-on-investment, while minimizing the uncertainty associated with that return-on-investment. \r\n\r\nThe portfolio model, now known as the Land-Use Portfolio Model (LUPM), provided the framework for the development of the Land-Use Portfolio Modeler, Version 1.0 software (LUPM v1.0). The software provides a geographic information system (GIS)-based modeling tool for evaluating alternative risk-reduction mitigation strategies for specific natural-hazard events. The modeler uses information about a specific natural-hazard event and the features exposed to that event within the targeted study region to derive a measure of a given mitigation strategy`s effectiveness. Harnessing the spatial capabilities of a GIS enables the tool to provide a rich, interactive mapping environment in which users can create, analyze, visualize, and compare different\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/tm11C4","usgsCitation":"Taketa, R., and Hong, M., 2010, Land-Use Portfolio Modeler, Version 1.0: U.S. Geological Survey Techniques and Methods 11-C4, vi, 44 p.; Appendices, https://doi.org/10.3133/tm11C4.","productDescription":"vi, 44 p.; Appendices","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":118495,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_11_c4.gif"},{"id":13908,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm11c4/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adf28","contributors":{"authors":[{"text":"Taketa, Richard","contributorId":25250,"corporation":false,"usgs":true,"family":"Taketa","given":"Richard","affiliations":[],"preferred":false,"id":305615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hong, Makiko","contributorId":31495,"corporation":false,"usgs":true,"family":"Hong","given":"Makiko","email":"","affiliations":[],"preferred":false,"id":305616,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98516,"text":"ofr20101005 - 2010 - Surficial geology of the sea floor in Long Island Sound offshore of Plum Island, New York","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"ofr20101005","displayToPublicDate":"2010-07-16T00:00:00","publicationYear":"2010","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":"2010-1005","title":"Surficial geology of the sea floor in Long Island Sound offshore of Plum Island, New York","docAbstract":"The U.S. Geological Survey (USGS), the Connecticut Department of Environmental Protection, and the National Oceanic and Atmospheric Administration (NOAA) have been working cooperatively to interpret surficial sea-floor geology along the coast of the Northeastern United States. NOAA survey H11445 in eastern Long Island Sound, offshore of Plum Island, New York, covers an area of about 12 square kilometers. Multibeam bathymetry and sidescan-sonar imagery from the survey, as well as sediment and photographic data from 13 stations occupied during a USGS verification cruise are used to delineate sea-floor features and characterize the environment. Bathymetry gradually deepens offshore to over 100 meters in a depression in the northwest part of the study area and reaches 60 meters in Plum Gut, a channel between Plum Island and Orient Point. Sand waves are present on a shoal north of Plum Island and in several smaller areas around the basin. Sand-wave asymmetry indicates that counter-clockwise net sediment transport maintains the shoal. Sand is prevalent where there is low backscatter in the sidescan-sonar imagery. Gravel and boulder areas are submerged lag deposits produced from the Harbor Hill-Orient Point-Fishers Island moraine segment and are found adjacent to the shorelines and just north of Plum Island, where high backscatter is present in the sidescan-sonar imagery.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101005","usgsCitation":"McMullen, K., Poppe, L., Danforth, W.W., Blackwood, D., Schaer, J., Ostapenko, A., Glomb, K., and Doran, E.F., 2010, Surficial geology of the sea floor in Long Island Sound offshore of Plum Island, New York: U.S. Geological Survey Open-File Report 2010-1005, CD-ROM, https://doi.org/10.3133/ofr20101005.","productDescription":"CD-ROM","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125650,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1005.jpg"},{"id":13907,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1005/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-72.23516836276917, 41.16768711887295], [-72.23111763184, 41.178340452371295], [-72.2360517072875, 41.17939894490813], [-72.23543283444947, 41.18637645094174], [-72.18772946511221, 41.19593661813189], [-72.18786170095235, 41.197126740692894], [-72.1458631423921, 41.20404987477649], [-72.14512136415755, 41.20286914163183], [-72.14549329541614, 41.19467101663821], [-72.14411287914203, 41.19070342294655], [-72.14523804837421, 41.18980328756077], [-72.14806625153051, 41.19078676881565], [-72.15453111277291, 41.18971438530048], [-72.16174930335535, 41.19144436509123], [-72.17497263820324, 41.18693171594866], [-72.19023254914104, 41.18943660847439], [-72.19399829360924, 41.18833906687864], [-72.19500457354043, 41.18604311553214], [-72.19838125512348, 41.18529380923495], [-72.2006772064701, 41.18248150899762], [-72.205425214642, 41.1820179958073], [-72.21176069544987, 41.17810094910606], [-72.21336978269075, 41.173821257369966], [-72.20736572582194, 41.171201086952465], [-72.20995333749335, 41.16880846314797], [-72.20905598030328, 41.167174884114665], [-72.21048433928217, 41.164957000709194], [-72.21282599177988, 41.16357989896312], [-72.22358032145434, 41.16168732247473], [-72.22862258377774, 41.16259257603377], [-72.23362561844692, 41.160492387776856], [-72.23488486512088, 41.161207319890934], [-72.23455126218204, 41.163722799534845], [-72.23654066971932, 41.16428833884997], [-72.2348157338622, 41.16522147238929], [-72.23516836276917, 41.16768711887295]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-72.23654066971932, 41.160492387776856, -72.14411287914203, 41.20404987477649], \"type\": \"Feature\", \"id\": \"3091913\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db6888b4","contributors":{"authors":[{"text":"McMullen, K.Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.Y.","email":"","affiliations":[],"preferred":false,"id":305610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppe, L.J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.J.","affiliations":[],"preferred":false,"id":305612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danforth, W. W.","contributorId":16386,"corporation":false,"usgs":true,"family":"Danforth","given":"W.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":305607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, D.S.","contributorId":98747,"corporation":false,"usgs":true,"family":"Blackwood","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":305614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaer, J.D.","contributorId":31082,"corporation":false,"usgs":true,"family":"Schaer","given":"J.D.","affiliations":[],"preferred":false,"id":305609,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ostapenko, A.J.","contributorId":90009,"corporation":false,"usgs":true,"family":"Ostapenko","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":305613,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glomb, K.A.","contributorId":67996,"corporation":false,"usgs":true,"family":"Glomb","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":305611,"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":305608,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70047032,"text":"dds49009 - 2010 - Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Level 3 Ecoregions","interactions":[],"lastModifiedDate":"2013-11-25T16:00:42","indexId":"dds49009","displayToPublicDate":"2010-07-15T14:01:00","publicationYear":"2010","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":"490-09","title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Level 3 Ecoregions","docAbstract":"This data set represents the estimated area of level 3 ecological landscape regions (ecoregions), as defined by Omernik (1987), compiled for every catchment of NHDPlus for the conterminous United States. The source data set is Level III Ecoregions of the Continental United States (U.S. Environmental Protection Agency, 2003). The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49009","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Level 3 Ecoregions: U.S. Geological Survey Data Series 490-09, Datatset, https://doi.org/10.3133/dds49009.","productDescription":"Datatset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274993,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_eco3.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ 65.327751,51.657387 ], [ 65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519e4e4b069f8d27cca8e","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480904,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70237833,"text":"70237833 - 2010 - A comparison of multi-spectral, multi-angular, and multi-temporal remote sensing datasets for fractional shrub canopy mapping in Arctic Alaska","interactions":[],"lastModifiedDate":"2022-10-26T11:47:36.243469","indexId":"70237833","displayToPublicDate":"2010-07-15T06:45:34","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of multi-spectral, multi-angular, and multi-temporal remote sensing datasets for fractional shrub canopy mapping in Arctic Alaska","docAbstract":"

Shrub cover appears to be increasing across many areas of the Arctic tundra biome, and increasing shrub cover in the Arctic has the potential to significantly impact global carbon budgets and the global climate system. For most of the Arctic, however, there is no existing baseline inventory of shrub canopy cover, as existing maps of Arctic vegetation provide little information about the density of shrub cover at a moderate spatial resolution across the region. Remotely-sensed fractional shrub canopy maps can provide this necessary baseline inventory of shrub cover. In this study, we compare the accuracy of fractional shrub canopy (> 0.5 m tall) maps derived from multi-spectral, multi-angular, and multi-temporal datasets from Landsat imagery at 30 m spatial resolution, Moderate Resolution Imaging SpectroRadiometer (MODIS) imagery at 250 m and 500 m spatial resolution, and MultiAngle Imaging Spectroradiometer (MISR) imagery at 275 m spatial resolution for a 1067 km2 study area in Arctic Alaska. The study area is centered at 69 °N, ranges in elevation from 130 to 770 m, is composed primarily of rolling topography with gentle slopes less than 10°, and is free of glaciers and perennial snow cover. Shrubs > 0.5 m in height cover 2.9% of the study area and are primarily confined to patches associated with specific landscape features. Reference fractional shrub canopy is determined from in situ shrub canopy measurements and a high spatial resolution IKONOS image swath. Regression tree models are constructed to estimate fractional canopy cover at 250 m using different combinations of input data from Landsat, MODIS, and MISR. Results indicate that multi-spectral data provide substantially more accurate estimates of fractional shrub canopy cover than multi-angular or multi-temporal data. Higher spatial resolution datasets also provide more accurate estimates of fractional shrub canopy cover (aggregated to moderate spatial resolutions) than lower spatial resolution datasets, an expected result for a study area where most shrub cover is concentrated in narrow patches associated with rivers, drainages, and slopes. Including the middle infrared bands available from Landsat and MODIS in the regression tree models (in addition to the four standard visible and near-infrared spectral bands) typically results in a slight boost in accuracy. Including the multi-angular red band data available from MISR in the regression tree models, however, typically boosts accuracy more substantially, resulting in moderate resolution fractional shrub canopy estimates approaching the accuracy of estimates derived from the much higher spatial resolution Landsat sensor. Given the poor availability of snow and cloud-free Landsat scenes in many areas of the Arctic and the promising results demonstrated here by the MISR sensor, MISR may be the best choice for large area fractional shrub canopy mapping in the Alaskan Arctic for the period 2000–2009.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2010.01.012","usgsCitation":"Selkowitz, D.J., 2010, A comparison of multi-spectral, multi-angular, and multi-temporal remote sensing datasets for fractional shrub canopy mapping in Arctic Alaska: Remote Sensing of Environment, v. 114, no. 7, p. 1338-1352, https://doi.org/10.1016/j.rse.2010.01.012.","productDescription":"15 p.","startPage":"1338","endPage":"1352","ipdsId":"IP-014402","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":408739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -141.38130176598017,\n 68.19430047782723\n ],\n [\n -141.38130176598017,\n 72.2825482136995\n ],\n [\n -161.95663358999144,\n 72.2825482136995\n ],\n [\n -161.95663358999144,\n 68.19430047782723\n ],\n [\n -141.38130176598017,\n 68.19430047782723\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"114","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Selkowitz, David J. 0000-0003-0824-7051 dselkowitz@usgs.gov","orcid":"https://orcid.org/0000-0003-0824-7051","contributorId":3259,"corporation":false,"usgs":true,"family":"Selkowitz","given":"David","email":"dselkowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":855817,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98513,"text":"sir20105087 - 2010 - Groundwater-quality monitoring program in Chester County, Pennsylvania, 1980-2008","interactions":[],"lastModifiedDate":"2017-06-12T13:50:40","indexId":"sir20105087","displayToPublicDate":"2010-07-15T00:00:00","publicationYear":"2010","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":"2010-5087","title":"Groundwater-quality monitoring program in Chester County, Pennsylvania, 1980-2008","docAbstract":"The U.S. Geological Survey in cooperation with the Chester County Water Resources Authority and the Chester County Health Department began a groundwater-quality monitoring program in 1980 in Chester County, Pa., where a large percentage of the population relies on wells for drinking-water supply. This report documents the program and serves as a reference for data collected through the program from 1980 through 2008.\r\n\r\nThe initial focus of the program was to collect data on groundwater quality near suspected localized sources of contamination, such as uncontrolled landfills and suspected industrial wastes, to determine if contaminants were present that might pose a health risk to those using the groundwater. Subsequently, the program was expanded to address the effects of widely distributed contaminant sources associated with agricultural and residential land uses on groundwater quality and to document naturally occurring constituents, such as radium, radon, and arsenic, that are potential hazards in drinking water. Since 2000, base-flow stream samples have been collected in addition to well-water and spring samples in a few small drainage areas to investigate the relation between groundwater quality measured in well samples and streams. The program has primarily consisted of spatial assessment with limited temporal data collected on groundwater quality. Most data were collected through the monitoring program for reconnaissance purposes to identify and locate groundwater-quality problems and generally were not intended for rigorous statistical analyses that might determine land-use or geochemical factors affecting groundwater quality in space or through time.\r\n\r\nResults of the program found several contaminants associated with various land uses and human activities in groundwater in Chester County. Volatile organic compounds (such as trichloroethylene) were measured in groundwater near suspected localized contaminant sources in concentrations that exceeded drinking-water standards. Groundwater in some agricultural areas had concentrations of nitrate and some pesticides that exceeded drinking-water standards. Elevated concentrations of chloride were measured near salt storage areas and highways. Formaldehyde was detected in groundwater near cemeteries. In residential areas with on-site wastewater disposal, effects on groundwater quality included elevated nitrate concentrations and low concentrations of volatile organic compounds and wastewater compounds, such as antibiotics and detergents. Base-flow samples indicated that groundwater discharge to streams carried contaminants such as nitrate, pesticides, wastewater compounds, and other contaminants.\r\n\r\nRadionuclides, including radium-226, radium-228, radium-224, and radon-222, and gross alpha-particle activity were measured in groundwater at levels above established and proposed drinking-water standards in some geologic units, particularly in quartzite and quartzite schists. Arsenic concentrations above drinking-water standards were measured in a few samples and were most likely to occur in groundwater in the shales and sandstones in the northern part of the county. Other potential natural hazards, such as lead from aquifer materials or leached from plumbing because of pH, were present in concentrations above drinking-water standards infrequently (less than 10 percent of samples).\r\n\r\nLimited temporal sampling suggested that chloride concentrations in groundwater increased in the county since the program began in 1980 through 2008, reflecting increasing population and urbanization in that period.\r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105087","collaboration":"Prepared in cooperation with the Chester County Water Resources Authority and the Chester County Health Department","usgsCitation":"Senior, L.A., and Sloto, R.A., 2010, Groundwater-quality monitoring program in Chester County, Pennsylvania, 1980-2008: U.S. Geological Survey Scientific Investigations Report 2010-5087, viii, 43 p.; Appendices, https://doi.org/10.3133/sir20105087.","productDescription":"viii, 43 p.; Appendices","additionalOnlineFiles":"N","temporalStart":"1980-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":125842,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5087.jpg"},{"id":13903,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5087/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.16666666666667,39.666666666666664 ], [ -76.16666666666667,40.25 ], [ -75.33333333333333,40.25 ], [ -75.33333333333333,39.666666666666664 ], [ -76.16666666666667,39.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a90e4b07f02db655ea1","contributors":{"authors":[{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sloto, Ronald A. rasloto@usgs.gov","contributorId":424,"corporation":false,"usgs":true,"family":"Sloto","given":"Ronald","email":"rasloto@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305595,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190352,"text":"70190352 - 2010 - Sediment transport and deposition on a river-dominated tidal flat: An idealized model study","interactions":[],"lastModifiedDate":"2017-08-28T17:06:08","indexId":"70190352","displayToPublicDate":"2010-07-15T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Sediment transport and deposition on a river-dominated tidal flat: An idealized model study","docAbstract":"

A 3-D hydrodynamic model is used to investigate how different size classes of river-derived sediment are transported, exported and trapped on an idealized, river-dominated tidal flat. The model is composed of a river channel flanked by sloping tidal flats, a configuration motivated by the intertidal region of the Skagit River mouth in Washington State, United States. It is forced by mixed tides and a pulse of freshwater and sediment with various settling velocities. In this system, the river not only influences stratification but also contributes a significant cross-shore transport. As a result, the bottom stress is strongly ebb-dominated in the channel because of the seaward advance of strong river flow as the tidal flats drain during ebbs. Sediment deposition patterns and mass budgets are sensitive to settling velocity. The lateral sediment spreading scales with an advective distance (settling time multiplied by lateral flow speed), thereby confining the fast settling sediment classes in the channel. Residual sediment transport is landward on the flats, because of settling lag, but is strongly seaward in the channel. The seaward transport mainly occurs during big ebbs and is controlled by a length scale ratio Ld/XWL, where Ld is a cross-shore advective distance (settling time multiplied by river outlet velocity), and XWL is the immersed cross-shore length of the intertidal zone. Sediment trapping requires Ld/XWL < 1, leading to more trapping for the faster settling classes. Sensitivity studies show that including stratification and reducing tidal range both favor sediment trapping, whereas varying channel geometries and asymmetry of tides has relatively small impacts. Implications of the modeling results on the south Skagit intertidal region are discussed.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JC006248","usgsCitation":"Sherwood, C.R., Chen, S., Geyer, W.R., and Ralston, D.K., 2010, Sediment transport and deposition on a river-dominated tidal flat: An idealized model study: Journal of Geophysical Research C: Oceans, v. 115, no. C10, 16 p., https://doi.org/10.1029/2010JC006248.","productDescription":"16 p.","ipdsId":"IP-020709","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475685,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jc006248","text":"Publisher Index Page"},{"id":345222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"C10","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2010-10-16","publicationStatus":"PW","scienceBaseUri":"59a52bd6e4b0fa5ae7c74846","contributors":{"authors":[{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Shih-Nan","contributorId":195907,"corporation":false,"usgs":false,"family":"Chen","given":"Shih-Nan","email":"","affiliations":[],"preferred":false,"id":708645,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Geyer, W. Rockwell","contributorId":195908,"corporation":false,"usgs":false,"family":"Geyer","given":"W.","email":"","middleInitial":"Rockwell","affiliations":[],"preferred":false,"id":708646,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ralston, David K. 0000-0002-0774-3101","orcid":"https://orcid.org/0000-0002-0774-3101","contributorId":195909,"corporation":false,"usgs":false,"family":"Ralston","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":708647,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70158952,"text":"70158952 - 2010 - Carbon dioxide (CO2) sequestration in deep saline aquifers and formations: Chapter 3","interactions":[],"lastModifiedDate":"2017-04-24T11:32:25","indexId":"70158952","displayToPublicDate":"2010-07-15T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Carbon dioxide (CO2) sequestration in deep saline aquifers and formations: Chapter 3","docAbstract":"

Carbon dioxide (CO2) capture and sequestration in geologic media is one among many emerging strategies to reduce atmospheric emissions of anthropogenic CO2. This chapter looks at the potential of deep saline aquifers – based on their capacity and close proximity to large point sources of CO2 – as repositories for the geologic sequestration of CO2. The petrochemical characteristics which impact on the suitability of saline aquifers for CO2 sequestration and the role of coupled geochemical transport models and numerical tools in evaluating site feasibility are also examined. The full-scale commercial CO2 sequestration project at Sleipner is described together with ongoing pilot and demonstration projects.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Developments and Innovation in Carbon Dioxide (Co2) Capture and Storage Technology: Carbon Dioxide (Co2) Storage and Utilisation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Woodhead Publishing Limited","publisherLocation":"Oxford","doi":"10.1533/9781845699581.1.57","usgsCitation":"Rosenbauer, R.J., and Thomas, B., 2010, Carbon dioxide (CO2) sequestration in deep saline aquifers and formations: Chapter 3, chap. of Developments and Innovation in Carbon Dioxide (Co2) Capture and Storage Technology: Carbon Dioxide (Co2) Storage and Utilisation, v. 2, p. 57-103, https://doi.org/10.1533/9781845699581.1.57.","productDescription":"47 p.","startPage":"57","endPage":"103","ipdsId":"IP-015053","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":340179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0ea7e4b006455f2d61fc","contributors":{"authors":[{"text":"Rosenbauer, Robert J. brosenbauer@usgs.gov","contributorId":204,"corporation":false,"usgs":true,"family":"Rosenbauer","given":"Robert","email":"brosenbauer@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":577028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Burt","contributorId":95454,"corporation":false,"usgs":true,"family":"Thomas","given":"Burt","affiliations":[],"preferred":false,"id":577029,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98515,"text":"sir20105135 - 2010 - Proceedings of the Colorado River Basin Science and Resource Management Symposium, November 18-20, 2008, Scottsdale, Arizona","interactions":[],"lastModifiedDate":"2012-02-02T00:14:35","indexId":"sir20105135","displayToPublicDate":"2010-07-15T00:00:00","publicationYear":"2010","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":"2010-5135","title":"Proceedings of the Colorado River Basin Science and Resource Management Symposium, November 18-20, 2008, Scottsdale, Arizona","docAbstract":"Since the 1980s, four major science and restoration programs have been developed for the Colorado River Basin to address primarily the conservation of native fish and other wildlife pursuant to the Endangered Species Act (ESA): (1) Recovery Implementation Program for Endangered Fish Species in the Upper Colorado River Basin (commonly called the Upper Colorado River Endangered Fish Recovery Program) (1988); (2) San Juan River Basin Recovery Implementation Program (1992); (3) Glen Canyon Dam Adaptive Management Program (1997); and (4) Lower Colorado River Multi-Species Conservation Program (2005).\r\n\r\nToday, these four programs, the efforts of which span the length of the Colorado River, have an increasingly important influence on water management and resource conservation in the basin. The four efforts involve scores of State, Federal, and local agencies; Native American Tribes; and diverse stakeholder representatives. The programs have many commonalities, including similar and overlapping goals and objectives; comparable resources and threats to those resources; and common monitoring, research, and restoration strategies. In spite of their commonalities, until recently there had been no formal opportunity for information exchange among the programs. To address this situation, the U.S. Geological Survey (USGS) worked in coordination with the four programs and numerous Federal and State agencies to organize the first Colorado River Basin Science and Resource Management Symposium, which took place in Scottsdale, AZ, in November 2008. The symposium's primary purpose was to promote an exchange of information on research and management activities related to the restoration and conservation of the Colorado River and its major tributaries. \r\n\r\nA total of 283 managers, scientists, and stakeholders attended the 3-day symposium, which included 87 presentations and 27 posters. The symposium featured plenary talks by experts on a variety of topics, including overviews of the four restoration programs, water-management actions aimed at restoring native fish habitat, climate change, assessments of the status of native and nonnative fish populations, and Native American perspectives. Intermixed with plenary talks were four concurrent technical sessions that addressed the following important topics: (1) effects of dam and reservoir operations on downstream physical and biological resources; (2) native fish propagation and genetic management and associated challenges in co-managing native and nonnative fish in the Colorado River; (3) monitoring program design, case studies, and links to management; and (4) riparian system restoration, monitoring, and exotic species control efforts.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105135","collaboration":"Grand Canyon Monitoring and Research Center","usgsCitation":"Melis, T., Hamill, J.F., Bennett, G., Coggins, Grams, P.E., Kennedy, T., Kubly, D.M., and Ralston, B., 2010, Proceedings of the Colorado River Basin Science and Resource Management Symposium, November 18-20, 2008, Scottsdale, Arizona: U.S. Geological Survey Scientific Investigations Report 2010-5135, vi, 372 p., https://doi.org/10.3133/sir20105135.","productDescription":"vi, 372 p.","additionalOnlineFiles":"Y","temporalStart":"2008-11-18","temporalEnd":"2008-11-20","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":125844,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5135.jpg"},{"id":13906,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5135/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64ab28","contributors":{"authors":[{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":305599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamill, John F.","contributorId":43061,"corporation":false,"usgs":true,"family":"Hamill","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":305603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Glenn E. gbennett@usgs.gov","contributorId":4153,"corporation":false,"usgs":true,"family":"Bennett","given":"Glenn E.","email":"gbennett@usgs.gov","affiliations":[],"preferred":true,"id":305601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coggins, Jr.","contributorId":54306,"corporation":false,"usgs":true,"family":"Coggins","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":305605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":305600,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kennedy, Theodore A. 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":50227,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":305604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kubly, Dennis M.","contributorId":35029,"corporation":false,"usgs":true,"family":"Kubly","given":"Dennis","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":305602,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ralston, Barbara E.","contributorId":89848,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara E.","affiliations":[],"preferred":false,"id":305606,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":98512,"text":"ofr20091272 - 2010 - Environmental flow studies of the Fort Collins Science Center— Cherry Creek, Arizona","interactions":[],"lastModifiedDate":"2021-09-17T20:06:06.782124","indexId":"ofr20091272","displayToPublicDate":"2010-07-15T00:00:00","publicationYear":"2010","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":"2009-1272","title":"Environmental flow studies of the Fort Collins Science Center— Cherry Creek, Arizona","docAbstract":"At the request of the U.S. Forest Service, an instream flow assessment was conducted at Cherry Creek, Ariz., to investigate habitat for native and introduced fish species and to describe the beneficial use of a possible instream flow water right. The U.S. Geological Survey (USGS) Fort Collins Science Center performed an intensive field study of two sections of Cherry Creek in September 2008 to provide base data for hydrodynamic simulation of the flow conditions in the stream. The USGS Arizona Cooperative Fish and Wildlife Research Unit, at the University of Arizona School of Natural Resources, conducted a survey of the habitat requirements of the resident fish species in Cherry Creek and provided the habitat suitability criteria used in this study. The habitat suitability criteria were combined with hydrodynamic simulation results to quantify fish habitat for the full range of daily flow experienced in the creek and to produce maps of habitat occurrence for those flows. The flow record at the Cherry Creek stream gage was used to generate habitat response values over time. The long-term habitat response was incorporated into an Excel (Registered) spreadsheet to allow evaluation of habitat occurrence with and without an instream water right under different hypothetical water withdrawal scenarios. The spreadsheet displays information about the time sequence of habitat events, the duration of critical events, and habitat retention.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091272","usgsCitation":"Waddle, T.J., and Bovee, K.D., 2010, Environmental flow studies of the Fort Collins Science Center— Cherry Creek, Arizona: U.S. Geological Survey Open-File Report 2009-1272, xii, 80 p., https://doi.org/10.3133/ofr20091272.","productDescription":"xii, 80 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":125845,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1272.jpg"},{"id":389448,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93507.htm"},{"id":13902,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1272/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Cherry Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.8175,\n 33.7\n ],\n [\n -110.8597,\n 33.7\n ],\n [\n -110.8597,\n 33.8319\n ],\n [\n -110.8175,\n 33.8319\n ],\n [\n -110.8175,\n 33.7\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a13e4b07f02db6021d2","contributors":{"authors":[{"text":"Waddle, Terry J.","contributorId":43430,"corporation":false,"usgs":true,"family":"Waddle","given":"Terry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":305593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bovee, Ken D.","contributorId":100447,"corporation":false,"usgs":true,"family":"Bovee","given":"Ken","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":305594,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98514,"text":"fs20103012 - 2010 - Impacts and predictions of coastal change during hurricanes","interactions":[],"lastModifiedDate":"2012-02-02T00:14:35","indexId":"fs20103012","displayToPublicDate":"2010-07-15T00:00:00","publicationYear":"2010","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":"2010-3012","title":"Impacts and predictions of coastal change during hurricanes","docAbstract":"Beaches serve as a natural barrier between the ocean and inland communities, ecosystems, and resources. These dynamic environments move and change in response to winds, waves, and currents. During a powerful hurricane, changes to beaches can be large, and the results are sometimes catastrophic. Lives are lost, communities are destroyed, and millions of dollars are spent on rebuilding. There is a clear need to identify areas of our coastline that are likely to experience extreme and devastating erosion during a hurricane. It is also important to determine risk levels associated with development in areas where the land shifts and moves with each landfalling storm. The U.S. Geological Survey (USGS) provides scientific support for hurricane planning and response. Using observations of beach changes and models of waves and storm surge, we are predicting how the coast will respond to hurricanes and identifying areas vulnerable to extreme coastal changes. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103012","usgsCitation":"Stockdon, H., and Sallenger, A., 2010, Impacts and predictions of coastal change during hurricanes: U.S. Geological Survey Fact Sheet 2010-3012, 2 p., https://doi.org/10.3133/fs20103012.","productDescription":"2 p.","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":125843,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3012.jpg"},{"id":13905,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3012/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e89f","contributors":{"authors":[{"text":"Stockdon, Hilary","contributorId":100090,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","affiliations":[],"preferred":false,"id":305598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sallenger, Abby","contributorId":9363,"corporation":false,"usgs":true,"family":"Sallenger","given":"Abby","email":"","affiliations":[],"preferred":false,"id":305597,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98511,"text":"sir20105047 - 2010 - Arsenic-related water quality with depth and water quality of well-head samples from production wells, Oklahoma, 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"sir20105047","displayToPublicDate":"2010-07-15T00:00:00","publicationYear":"2010","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":"2010-5047","title":"Arsenic-related water quality with depth and water quality of well-head samples from production wells, Oklahoma, 2008","docAbstract":"The U.S. Geological Survey well profiler was used to describe arsenic-related water quality with well depth and identify zones yielding water with high arsenic concentrations in two production wells in central and western Oklahoma that yield water from the Permian-aged Garber-Wellington and Rush Springs aquifers, respectively. In addition, well-head samples were collected from 12 production wells yielding water with historically large concentrations of arsenic (greater than 10 micrograms per liter) from the Garber-Wellington aquifer, Rush Springs aquifer, and two minor aquifers: the Arbuckle-Timbered Hills aquifer in southern Oklahoma and a Permian-aged undefined aquifer in north-central Oklahoma.\r\n\r\nThree depth-dependent samples from a production well in the Rush Springs aquifer had similar water-quality characteristics to the well-head sample and did not show any substantial changes with depth. However, slightly larger arsenic concentrations in the two deepest depth-dependent samples indicate the zones yielding noncompliant arsenic concentrations are below the shallowest sampled depth.\r\n\r\nFive depth-dependent samples from a production well in the Garber-Wellington aquifer showed increases in arsenic concentrations with depth. Well-bore travel-time information and water-quality data from depth-dependent and well-head samples showed that most arsenic contaminated water (about 63 percent) was entering the borehole from perforations adjacent to or below the shroud that overlaid the pump.\r\n\r\nArsenic concentrations ranged from 10.4 to 124 micrograms per liter in 11 of the 12 production wells sampled at the well head, exceeding the maximum contaminant level of 10 micrograms per liter for drinking water. pH values of the 12 well-head samples ranged from 6.9 to 9. Seven production wells in the Garber-Wellington aquifer had the largest arsenic concentrations ranging from 18.5 to 124 micrograms per liter. Large arsenic concentrations (10.4-18.5) and near neutral to slightly alkaline pH values (6.9-7.4) were detected in samples from one well in the Garber-Wellington aquifer, three production wells in the Rush Springs aquifer, and one well in an undefined Permian-aged aquifer. All well-head samples were oxic and arsenate was the only species of arsenic in water from 10 of the 12 production wells sampled. Arsenite was measured above the laboratory reporting level in water from a production well in the Garber-Wellington aquifer and was the only arsenic species measured in water from the Arbuckle-Timbered Hills aquifer.\r\n\r\nFluoride and uranium were the only trace elements, other than arsenic, that exceeded the maximum contaminant level for drinking water in well-head samples collected for the study. Uranium concentrations in four production wells in the Garber-Wellington aquifer ranged from 30.2 to 99 micrograms per liter exceeding the maximum contaminant level of 30 micrograms per liter for drinking water. Water from these four wells also had the largest arsenic concentrations measured in the study ranging from 30 to 124 micrograms \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105047","collaboration":"Prepared in cooperation with the Oklahoma Department of Environmental Quality and the Ground-Water Protection Council","usgsCitation":"Becker, C., Smith, S.J., Greer, J.R., and Smith, K.A., 2010, Arsenic-related water quality with depth and water quality of well-head samples from production wells, Oklahoma, 2008: U.S. Geological Survey Scientific Investigations Report 2010-5047, vi, 28 p.; Appendices, https://doi.org/10.3133/sir20105047.","productDescription":"vi, 28 p.; Appendices","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125841,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5047.jpg"},{"id":13901,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5047/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","projection":"Albers Equal Area Conic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100,34 ], [ -100,37 ], [ -95,37 ], [ -95,34 ], [ -100,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672bf7","contributors":{"authors":[{"text":"Becker, Carol 0000-0001-6652-4542 cjbecker@usgs.gov","orcid":"https://orcid.org/0000-0001-6652-4542","contributorId":2489,"corporation":false,"usgs":true,"family":"Becker","given":"Carol","email":"cjbecker@usgs.gov","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greer, James R. jrgreer@usgs.gov","contributorId":978,"corporation":false,"usgs":true,"family":"Greer","given":"James","email":"jrgreer@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":305589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kevin A. 0000-0001-6846-5929","orcid":"https://orcid.org/0000-0001-6846-5929","contributorId":50612,"corporation":false,"usgs":true,"family":"Smith","given":"Kevin","email":"","middleInitial":"A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305592,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189918,"text":"70189918 - 2010 - Testing statistical self-similarity in the topology of river networks","interactions":[],"lastModifiedDate":"2017-08-03T13:18:01","indexId":"70189918","displayToPublicDate":"2010-07-15T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Testing statistical self-similarity in the topology of river networks","docAbstract":"

Recent work has demonstrated that the topological properties of real river networks deviate significantly from predictions of Shreve's random model. At the same time the property of mean self-similarity postulated by Tokunaga's model is well supported by data. Recently, a new class of network model called random self-similar networks (RSN) that combines self-similarity and randomness has been introduced to replicate important topological features observed in real river networks. We investigate if the hypothesis of statistical self-similarity in the RSN model is supported by data on a set of 30 basins located across the continental United States that encompass a wide range of hydroclimatic variability. We demonstrate that the generators of the RSN model obey a geometric distribution, and self-similarity holds in a statistical sense in 26 of these 30 basins. The parameters describing the distribution of interior and exterior generators are tested to be statistically different and the difference is shown to produce the well-known Hack's law. The inter-basin variability of RSN parameters is found to be statistically significant. We also test generator dependence on two climatic indices, mean annual precipitation and radiative index of dryness. Some indication of climatic influence on the generators is detected, but this influence is not statistically significant with the sample size available. Finally, two key applications of the RSN model to hydrology and geomorphology are briefly discussed.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009JF001609","usgsCitation":"Troutman, B.M., Mantilla, R., and Gupta, V.K., 2010, Testing statistical self-similarity in the topology of river networks: Journal of Geophysical Research F: Earth Surface, v. 115, no. F3, F03038: 12 p., https://doi.org/10.1029/2009JF001609.","productDescription":"F03038: 12 p.","ipdsId":"IP-018290","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":475686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009jf001609","text":"Publisher Index Page"},{"id":344563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"F3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2010-09-25","publicationStatus":"PW","scienceBaseUri":"5984364ce4b0e2f5d46653ed","contributors":{"authors":[{"text":"Troutman, Brent M.","contributorId":195329,"corporation":false,"usgs":false,"family":"Troutman","given":"Brent","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":706768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mantilla, Ricardo","contributorId":195330,"corporation":false,"usgs":false,"family":"Mantilla","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":706769,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gupta, Vijay K.","contributorId":195331,"corporation":false,"usgs":false,"family":"Gupta","given":"Vijay","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":706770,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70154943,"text":"70154943 - 2010 - Fisheries indicators, freshwater","interactions":[],"lastModifiedDate":"2017-05-08T14:40:57","indexId":"70154943","displayToPublicDate":"2010-07-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Fisheries indicators, freshwater","docAbstract":"

Freshwater fisheries exist among diverse ecosystems and fauna, provide societal benefits, and are influenced by human activities. Fisheries scientists assess the status and sustainability of fisheries by multiple approaches, including abundance and condition indices, population parameters, community indices, modeling, and surveys of habitat and human dimensions. The future sustainability of freshwater fisheries is limited not by available methods but by society’s will.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Berkshire Encyclopedia of Sustainability","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Berkshire Publishing Group","publisherLocation":"Great Barrington, MA","usgsCitation":"Kwak, T.J., 2010, Fisheries indicators, freshwater, chap. of Berkshire Encyclopedia of Sustainability.","ipdsId":"IP-032599","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":340913,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://oxfordindex.oup.com/view/10.1093/acref/9780190622664.013.0582?rskey=3MsnWi&result=355"},{"id":340914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183bae4b0e541a03c1a92","contributors":{"authors":[{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564389,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189132,"text":"70189132 - 2010 - Genetic diversity and variation of mitochondrial DNA in native and introduced bighead carp","interactions":[],"lastModifiedDate":"2017-06-30T14:23:57","indexId":"70189132","displayToPublicDate":"2010-07-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Genetic diversity and variation of mitochondrial DNA in native and introduced bighead carp","docAbstract":"

The bighead carp Hypophthalmichthys nobilis is native to China but has been introduced to over 70 countries and is established in many large river systems. Genetic diversity and variation in introduced bighead carp have not previously been evaluated, and a systematic comparison among fish from different river systems was unavailable. In this study, 190 bighead carp specimens were sampled from five river systems in three countries (Yangtze, Pearl, and Amur rivers, China; Danube River, Hungary; Mississippi River basin, USA) and their mitochondrial 16S ribosomal RNA gene and D-loop region were sequenced (around 1,345 base pairs). Moderate genetic diversity was found in bighead carp, ranging from 0.0014 to 0.0043 for nucleotide diversity and from 0.6879 to 0.9333 for haplotype diversity. Haplotype analysis provided evidence that (1) multiple haplotype groups might be present among bighead carp, (2) bighead carp probably originated from the Yangtze River, and (3) bighead carp in the Mississippi River basin may have some genetic ancestry in the Danube River. The analysis of molecular variance showed significant genetic differentiation among these five populations but also revealed limited differentiation between the Yangtze and Amur River bighead carp. This large-scale study of bighead carp genetic diversity and variation provides the first global perspective of bighead carp in the context of biodiversity conservation as well as invasive species control and management.

","language":"English","publisher":"American Fisheries Society","doi":"10.1577/T09-158.1","usgsCitation":"Li, S., Yang, Q., Xu, J., Wang, C., Chapman, D., and Lu, G., 2010, Genetic diversity and variation of mitochondrial DNA in native and introduced bighead carp: Transactions of the American Fisheries Society, v. 139, no. 4, p. 937-946, https://doi.org/10.1577/T09-158.1.","productDescription":"10 p.","startPage":"937","endPage":"946","ipdsId":"IP-021466","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":343236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"5957635ae4b0d1f9f051b6b7","contributors":{"authors":[{"text":"Li, Si-Fa","contributorId":36821,"corporation":false,"usgs":true,"family":"Li","given":"Si-Fa","email":"","affiliations":[],"preferred":false,"id":703103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Qin-Ling","contributorId":194060,"corporation":false,"usgs":false,"family":"Yang","given":"Qin-Ling","email":"","affiliations":[],"preferred":false,"id":703104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Jia-Wei","contributorId":194061,"corporation":false,"usgs":false,"family":"Xu","given":"Jia-Wei","email":"","affiliations":[],"preferred":false,"id":703105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Cheng-Hui 0000-0001-9508-7425","orcid":"https://orcid.org/0000-0001-9508-7425","contributorId":194062,"corporation":false,"usgs":false,"family":"Wang","given":"Cheng-Hui","email":"","affiliations":[],"preferred":false,"id":703106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":703107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lu, Guoping","contributorId":38203,"corporation":false,"usgs":true,"family":"Lu","given":"Guoping","email":"","affiliations":[],"preferred":false,"id":703108,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189744,"text":"70189744 - 2010 - The Block composite submarine landslide, southern New England slope, U.S.A.: A morphological analysis","interactions":[],"lastModifiedDate":"2017-07-24T09:41:12","indexId":"70189744","displayToPublicDate":"2010-07-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"displayTitle":"The Block composite submarine landslide, southern New England slope, U.S.A.: A morphological analysis","title":"The Block composite submarine landslide, southern New England slope, U.S.A.: A morphological analysis","docAbstract":"

Recent multibeam surveys along the continental slope and rise off southeast New England has enabled a detailed morphological analysis of the Block composite landslide. This landslide consists of at least three large debris lobes resting on a gradient less than 0.5 °. The slide took place on gradients of between 1 ° and 5 ° in Quaternary sediments likely deposited at the time of low sea level and high sedimentation rates associated with glaciations. The slide debris lobes are very close to each other and cover an area of about 1.125 km2 of the sea floor. With an average thickness of 50 m, the total volume of the deposit is estimated at 36 km3. In some cases, the departure zone appears to be near the crest of the continental slope, at a water depth between 500 and 2,000 m with debris spreading over about 20 km at a depth ranging from 2,500 to 2,600 m. From preliminary analysis, at least one lobe of the Block Composite slide (lobe 2) would require further study to evaluate its tsunamigenic potential.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Submarine mass movements and their consequences","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Netherlands","doi":"10.1007/978-90-481-3071-9_22","usgsCitation":"Locat, J., ten Brink, U., and Chaytor, J., 2010, The Block composite submarine landslide, southern New England slope, U.S.A.: A morphological analysis, chap. of Submarine mass movements and their consequences, v. 28, p. 267-277, https://doi.org/10.1007/978-90-481-3071-9_22.","productDescription":"11 p.","startPage":"267","endPage":"277","ipdsId":"IP-014602","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":344233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Southern New England continental margin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.861328125,\n 37.45741810262938\n ],\n [\n -67.467041015625,\n 37.45741810262938\n ],\n [\n -67.467041015625,\n 40.70562793820589\n ],\n [\n -72.861328125,\n 40.70562793820589\n ],\n [\n -72.861328125,\n 37.45741810262938\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59770755e4b0ec1a48889fcc","contributors":{"authors":[{"text":"Locat, Jacques","contributorId":195011,"corporation":false,"usgs":false,"family":"Locat","given":"Jacques","email":"","affiliations":[],"preferred":false,"id":706069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":706067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaytor, Jason D.","contributorId":195010,"corporation":false,"usgs":false,"family":"Chaytor","given":"Jason D.","affiliations":[],"preferred":false,"id":706068,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70154946,"text":"70154946 - 2010 - Assessment and management of ecological integrity: Chapter 12","interactions":[],"lastModifiedDate":"2017-05-31T16:30:21","indexId":"70154946","displayToPublicDate":"2010-07-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Assessment and management of ecological integrity: Chapter 12","docAbstract":"

Assessing and understanding the impacts of human activities on aquatic ecosystems has long been a focus of ecologists, water resources managers, and fisheries scientists. While traditional fisheries management focused on single-species approaches to enhance fish stocks, there is a growing emphasis on management approaches at community and ecosystem levels. Of course, as fisheries managers shift their attention from narrow (e.g., populations) to broad organizational scales (e.g., communities or ecosystems), ecological processes and management objectives become more complex. At the community level, fisheries managers may strive for a fish assemblage that is complex, persistent, and resilient to disturbance. Aquatic ecosystem level objectives may focus on management for habitat quality and ecological processes, such as nutrient dynamics, productivity, or trophic interactions, but a long-term goal of ecosystem management may be to maintain ecological integrity. However, human users and social, economic, and political demands of fisheries management often result in a reduction of ecological integrity in managed systems, and this conflict presents a principal challenge for the modern fisheries manager.

The concepts of biotic integrity and ecological integrity are being applied in fisheries science, natural resource management, and environmental legislation, but explicit definitions of these terms are elusive. Biotic integrity of an ecosystem may be defined as the capability of supporting and maintaining an integrated, adaptive community of organisms having a species composition, diversity, and functional organization comparable to that of a natural habitat of the region (Karr and Dudley 1981). Following that, ecological integrity is the summation of chemical, physical, and biological integrity. Thus, the concept of ecological integrity extends beyond fish and represents a holistic approach for ecosystem management that is especially applicable to aquatic systems. The more general term, ecological condition, refers to the state of the physical, chemical, and biological characteristics of the environment and the processes and interactions that connect them. While the concept of ecological integrity may appear unambiguous, its assessment and practice are much less clear.

Ecological integrity made its debut in the USA with the Clean Water Act (CWA) of 1972 (Federal Water Pollution Control Act, as amended through Public Law 107–303, November 27, 2002), which states only one objective, “to restore and maintain the chemical, physical, and biological integrity of the Nation’s waters.” This legislation compelled resource managers to focus on chemical pollution from point effluent sources, such as industrial and municipal outflows, as well as give attention to diffuse, chronic, and watershed effects on ecological integrity. Further, the CWA allowed pursuit of restoration programs in degraded water bodies and catalyzed the science and practice of restoration ecology.

The term ecosystem health is often raised in discussions of ecological integrity. Perhaps it is natural to anthropomorphize our concern for personal health to ecosystems, so it becomes a useful metaphor for understanding the concept of ecological integrity. However, whether or not an ecosystem should be considered an entity, such as a superorganism, is a debate without end that began with early ecologists and continues today (Clements 1916; Suter 1993; Simon 1999a). Regardless, the ecosystem is indeed a natural unit with a level of organization and properties beyond the collection of those species that occupy it and presents the most appropriate spatial and organizational scale in which to assess and study ecological integrity. Streams and rivers serve as integrators of chemical, physical, and biological conditions across the landscape, and while the theory and practice associated with ecological integrity of aquatic systems is easily applied to flowing waters and is emphasized in this chapter, they are broadly applicable among all aquatic systems.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Inland fisheries management in North America","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","usgsCitation":"Kwak, T.J., and Freeman, M., 2010, Assessment and management of ecological integrity: Chapter 12, chap. of Inland fisheries management in North America, p. 353-394.","productDescription":"42 p.","startPage":"353","endPage":"394","ipdsId":"IP-015959","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":340930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183bbe4b0e541a03c1a94","contributors":{"authors":[{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":694469,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}