{"pageNumber":"702","pageRowStart":"17525","pageSize":"25","recordCount":46883,"records":[{"id":70036809,"text":"70036809 - 2011 - Seismic hazard and risk assessments for Beijing-Tianjin-Tangshan, China, area","interactions":[],"lastModifiedDate":"2020-12-21T13:24:44.333312","indexId":"70036809","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Seismic hazard and risk assessments for Beijing-Tianjin-Tangshan, China, area","docAbstract":"<p><span>Seismic hazard and risk in the Beijing–Tianjin–Tangshan, China, area were estimated from 500-year intensity observations. First, we digitized the intensity observations (maps) using ArcGIS with a cell size of 0.1&nbsp;×&nbsp;0.1°. Second, we performed a statistical analysis on the digitized intensity data, determined an average&nbsp;</span><i>b</i><span>&nbsp;value (0.39), and derived the intensity–frequency relationship (hazard curve) for each cell. Finally, based on a Poisson model for earthquake occurrence, we calculated seismic risk in terms of a probability of&nbsp;</span><i>I</i><span>&nbsp;≥&nbsp;7, 8, or 9 in 50&nbsp;years. We also calculated the corresponding 10 percent probability of exceedance of these intensities in 50&nbsp;years. The advantages of assessing seismic hazard and risk from intensity records are that (1) fewer assumptions (i.e., earthquake source and ground motion attenuation) are made, and (2) site-effect is included. Our study shows that the area has high seismic hazard and risk. Our study also suggests that current design peak ground acceleration or intensity for the area may not be adequate.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00024-010-0115-z","issn":"00334553","usgsCitation":"Xie, F., Wang, Z., and Liu, J., 2011, Seismic hazard and risk assessments for Beijing-Tianjin-Tangshan, China, area: Pure and Applied Geophysics, v. 168, no. 3-4, p. 731-738, https://doi.org/10.1007/s00024-010-0115-z.","productDescription":"8 p.","startPage":"731","endPage":"738","costCenters":[],"links":[{"id":245768,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"North China Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              113.6865234375,\n              37.75334401310656\n            ],\n            [\n              119.06982421874999,\n              37.75334401310656\n            ],\n            [\n              119.06982421874999,\n              41.343824581185686\n            ],\n            [\n              113.6865234375,\n              41.343824581185686\n            ],\n            [\n              113.6865234375,\n              37.75334401310656\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"168","issue":"3-4","noUsgsAuthors":false,"publicationDate":"2010-03-27","publicationStatus":"PW","scienceBaseUri":"505b8ae0e4b08c986b317430","contributors":{"authors":[{"text":"Xie, F.","contributorId":34755,"corporation":false,"usgs":true,"family":"Xie","given":"F.","email":"","affiliations":[],"preferred":false,"id":457953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Z.","contributorId":67976,"corporation":false,"usgs":true,"family":"Wang","given":"Z.","affiliations":[],"preferred":false,"id":457954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":457952,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033844,"text":"70033844 - 2011 - Hydrogeology, Chemical and Microbial Activity Measurement Through Deep Permafrost","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033844","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeology, Chemical and Microbial Activity Measurement Through Deep Permafrost","docAbstract":"Little is known about hydrogeochemical conditions beneath thick permafrost, particularly in fractured crystalline rock, due to difficulty in accessing this environment. The purpose of this investigation was to develop methods to obtain physical, chemical, and microbial information about the subpermafrost environment from a surface-drilled borehole. Using a U-tube, gas and water samples were collected, along with temperature, pressure, and hydraulic conductivity measurements, 420 m below ground surface, within a 535 m long, angled borehole at High Lake, Nunavut, Canada, in an area with 460-m-thick permafrost. Piezometric head was well above the base of the permafrost, near land surface. Initial water samples were contaminated with drill fluid, with later samples &lt;40% drill fluid. The salinity of the non-drill fluid component was &lt;20,000 mg/L, had a Ca/Na ratio above 1, with ??18O values ???5??? lower than the local surface water. The fluid isotopic composition was affected by the permafrost-formation process. Nonbacteriogenic CH4 was present and the sample location was within methane hydrate stability field. Sampling lines froze before uncontaminated samples from the subpermafrost environment could be obtained, yet the available time to obtain water samples was extended compared to previous studies. Temperature measurements collected from a distributed temperature sensor indicated that this issue can be overcome easily in the future. The lack of methanogenic CH4 is consistent with the high sulfate concentrations observed in cores. The combined surface-drilled borehole/U-tube approach can provide a large amount of physical, chemical, and microbial data from the subpermafrost environment with few, controllable, sources of contamination. ?? 2010 The Author(s). Journal compilation ?? 2010 National Ground Water Association.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1745-6584.2010.00724.x","issn":"0017467X","usgsCitation":"Stotler, R., Frape, S., Freifeld, B., Holden, B., Onstott, T., Ruskeeniemi, T., and Chan, E., 2011, Hydrogeology, Chemical and Microbial Activity Measurement Through Deep Permafrost: Ground Water, v. 49, no. 3, p. 348-364, https://doi.org/10.1111/j.1745-6584.2010.00724.x.","startPage":"348","endPage":"364","numberOfPages":"17","costCenters":[],"links":[{"id":475385,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digital.library.unt.edu/ark:/67531/metadc1012713/","text":"External Repository"},{"id":214476,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2010.00724.x"},{"id":242204,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-04-25","publicationStatus":"PW","scienceBaseUri":"505a34d9e4b0c8380cd5fa98","contributors":{"authors":[{"text":"Stotler, R.L.","contributorId":39596,"corporation":false,"usgs":true,"family":"Stotler","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":442810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frape, S.K.","contributorId":105335,"corporation":false,"usgs":true,"family":"Frape","given":"S.K.","affiliations":[],"preferred":false,"id":442813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freifeld, B.M.","contributorId":21753,"corporation":false,"usgs":true,"family":"Freifeld","given":"B.M.","email":"","affiliations":[],"preferred":false,"id":442808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holden, B.","contributorId":51554,"corporation":false,"usgs":true,"family":"Holden","given":"B.","email":"","affiliations":[],"preferred":false,"id":442812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Onstott, T.C.","contributorId":47006,"corporation":false,"usgs":true,"family":"Onstott","given":"T.C.","affiliations":[],"preferred":false,"id":442811,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruskeeniemi, T.","contributorId":18190,"corporation":false,"usgs":true,"family":"Ruskeeniemi","given":"T.","email":"","affiliations":[],"preferred":false,"id":442807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chan, E.","contributorId":31999,"corporation":false,"usgs":true,"family":"Chan","given":"E.","email":"","affiliations":[],"preferred":false,"id":442809,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70036196,"text":"70036196 - 2011 - Circum-Arctic mapping project: New magnetic and gravity anomaly maps of the Arctic","interactions":[],"lastModifiedDate":"2021-01-25T20:48:00.867474","indexId":"70036196","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1784,"text":"Geological Society Memoir","active":true,"publicationSubtype":{"id":10}},"chapter":"3","title":"Circum-Arctic mapping project: New magnetic and gravity anomaly maps of the Arctic","docAbstract":"<p><span>New Circum-Arctic maps of magnetic and gravity anomalies have been produced by merging regional gridded data. Satellite magnetic and gravity data were used for quality control of the long wavelengths of the new compilations. The new Circum-Arctic digital compilations of magnetic, gravity and some of their derivatives have been analyzed together with other freely available regional and global data and models in order to provide a consistent view of the tectonically complex Arctic basins and surrounding continents. Sharp, linear contrasts between deeply buried basement blocks with different magnetic properties and densities that can be identified on these maps can be used, together with other geological and geophysical information, to refine the tectonic boundaries of the Arctic domain.</span></p>","language":"English","publisher":"Geological Society of London","doi":"10.1144/M35.3","issn":"04354052","usgsCitation":"Gaina, C., Werner, S., Saltus, R., Maus, S., Aaro, S., Damaske, D., Forsberg, R., Glebovsky, V., Johnson, K.K., Jonberger, J., Koren, T., Korhonen, J., Litvinova, T., Oakey, G., Olesen, O., Petrov, O., Pilkington, M., Rasmussen, T., Schreckenberger, B., and Smelror, M., 2011, Circum-Arctic mapping project: New magnetic and gravity anomaly maps of the Arctic: Geological Society Memoir, no. 35, p. 39-48, https://doi.org/10.1144/M35.3.","productDescription":"10 p.","startPage":"39","endPage":"48","costCenters":[],"links":[{"id":246272,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218275,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/M35.3"}],"issue":"35","noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"5059f46ae4b0c8380cd4bd09","contributors":{"authors":[{"text":"Gaina, C.","contributorId":71389,"corporation":false,"usgs":true,"family":"Gaina","given":"C.","email":"","affiliations":[],"preferred":false,"id":454778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werner, S.C.","contributorId":22170,"corporation":false,"usgs":true,"family":"Werner","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":454770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saltus, R.","contributorId":107040,"corporation":false,"usgs":true,"family":"Saltus","given":"R.","email":"","affiliations":[],"preferred":false,"id":454786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maus, S.","contributorId":104315,"corporation":false,"usgs":true,"family":"Maus","given":"S.","email":"","affiliations":[],"preferred":false,"id":454784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aaro, S.","contributorId":107544,"corporation":false,"usgs":true,"family":"Aaro","given":"S.","email":"","affiliations":[],"preferred":false,"id":454787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Damaske, D.","contributorId":66771,"corporation":false,"usgs":true,"family":"Damaske","given":"D.","affiliations":[],"preferred":false,"id":454776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Forsberg, R.","contributorId":16213,"corporation":false,"usgs":true,"family":"Forsberg","given":"R.","email":"","affiliations":[],"preferred":false,"id":454769,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Glebovsky, V.","contributorId":34759,"corporation":false,"usgs":true,"family":"Glebovsky","given":"V.","email":"","affiliations":[],"preferred":false,"id":454772,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Kevin K. 0000-0003-2703-5994 johnsonk@usgs.gov","orcid":"https://orcid.org/0000-0003-2703-5994","contributorId":4220,"corporation":false,"usgs":true,"family":"Johnson","given":"Kevin","email":"johnsonk@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":454781,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jonberger, J.","contributorId":52016,"corporation":false,"usgs":true,"family":"Jonberger","given":"J.","email":"","affiliations":[],"preferred":false,"id":454775,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Koren, T.","contributorId":43608,"corporation":false,"usgs":true,"family":"Koren","given":"T.","email":"","affiliations":[],"preferred":false,"id":454773,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Korhonen, J.","contributorId":103913,"corporation":false,"usgs":true,"family":"Korhonen","given":"J.","affiliations":[],"preferred":false,"id":454783,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Litvinova, T.","contributorId":73045,"corporation":false,"usgs":true,"family":"Litvinova","given":"T.","email":"","affiliations":[],"preferred":false,"id":454779,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Oakey, G.","contributorId":68574,"corporation":false,"usgs":true,"family":"Oakey","given":"G.","email":"","affiliations":[],"preferred":false,"id":454777,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Olesen, O.","contributorId":84194,"corporation":false,"usgs":true,"family":"Olesen","given":"O.","email":"","affiliations":[],"preferred":false,"id":454782,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Petrov, O.","contributorId":32386,"corporation":false,"usgs":true,"family":"Petrov","given":"O.","email":"","affiliations":[],"preferred":false,"id":454771,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Pilkington, M.","contributorId":105476,"corporation":false,"usgs":true,"family":"Pilkington","given":"M.","email":"","affiliations":[],"preferred":false,"id":454785,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Rasmussen, T.","contributorId":50389,"corporation":false,"usgs":true,"family":"Rasmussen","given":"T.","email":"","affiliations":[],"preferred":false,"id":454774,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Schreckenberger, B.","contributorId":15867,"corporation":false,"usgs":true,"family":"Schreckenberger","given":"B.","email":"","affiliations":[],"preferred":false,"id":454768,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Smelror, M.","contributorId":80523,"corporation":false,"usgs":true,"family":"Smelror","given":"M.","email":"","affiliations":[],"preferred":false,"id":454780,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70035087,"text":"70035087 - 2011 - Prototyping an online wetland ecosystem services model using open model sharing standards","interactions":[],"lastModifiedDate":"2017-04-06T12:30:28","indexId":"70035087","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Prototyping an online wetland ecosystem services model using open model sharing standards","docAbstract":"<p><span>Great interest currently exists for developing ecosystem models to forecast how ecosystem services may change under alternative land use and climate futures. Ecosystem services are diverse and include supporting services or functions (e.g., primary production, nutrient cycling), provisioning services (e.g., wildlife, groundwater), regulating services (e.g., water purification, floodwater retention), and even cultural services (e.g., ecotourism, cultural heritage). Hence, the knowledge base necessary to quantify ecosystem services is broad and derived from many diverse scientific disciplines. Building the required interdisciplinary models is especially challenging as modelers from different locations and times may develop the disciplinary models needed for ecosystem simulations, and these models must be identified and made accessible to the interdisciplinary simulation. Additional difficulties include inconsistent data structures, formats, and metadata required by geospatial models as well as limitations on computing, storage, and connectivity. Traditional standalone and closed network systems cannot fully support sharing and integrating interdisciplinary geospatial models from variant sources. To address this need, we developed an approach to openly share and access geospatial computational models using distributed Geographic Information System (GIS) techniques and open geospatial standards. We included a means to share computational models compliant with Open Geospatial Consortium (OGC) Web Processing Services (WPS) standard to ensure modelers have an efficient and simplified means to publish new models. To demonstrate our approach, we developed five disciplinary models that can be integrated and shared to simulate a few of the ecosystem services (e.g., water storage, waterfowl breeding) that are provided by wetlands in the Prairie Pothole Region (PPR) of North America.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2010.10.008","issn":"13648152","usgsCitation":"Feng, M., Liu, S., Euliss, N., Young, C., and Mushet, D., 2011, Prototyping an online wetland ecosystem services model using open model sharing standards: Environmental Modelling and Software, v. 26, no. 4, p. 458-468, https://doi.org/10.1016/j.envsoft.2010.10.008.","productDescription":"11 p.","startPage":"458","endPage":"468","numberOfPages":"11","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243287,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215479,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2010.10.008"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8f98e4b0c8380cd7f860","contributors":{"authors":[{"text":"Feng, M.","contributorId":18195,"corporation":false,"usgs":true,"family":"Feng","given":"M.","affiliations":[],"preferred":false,"id":449229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":449233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, N.H.","contributorId":27836,"corporation":false,"usgs":true,"family":"Euliss","given":"N.H.","affiliations":[],"preferred":false,"id":449230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Caitlin","contributorId":30181,"corporation":false,"usgs":false,"family":"Young","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":449231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, D.M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":59377,"corporation":false,"usgs":true,"family":"Mushet","given":"D.M.","affiliations":[],"preferred":false,"id":449232,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034729,"text":"70034729 - 2011 - A simple and effective method for filling gaps in Landsat ETM+ SLC-off images","interactions":[],"lastModifiedDate":"2018-02-21T15:33:06","indexId":"70034729","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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 simple and effective method for filling gaps in Landsat ETM+ SLC-off images","docAbstract":"The scan-line corrector (SLC) of the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor failed in 2003, resulting in about 22% of the pixels per scene not being scanned. The SLC failure has seriously limited the scientific applications of ETM+ data. While there have been a number of methods developed to fill in the data gaps, each method has shortcomings, especially for heterogeneous landscapes. Based on the assumption that the same-class neighboring pixels around the un-scanned pixels have similar spectral characteristics, and that these neighboring and un-scanned pixels exhibit similar patterns of spectral differences between dates, we developed a simple and effective method to interpolate the values of the pixels within the gaps. We refer to this method as the Neighborhood Similar Pixel Interpolator (NSPI). Simulated and actual SLC-off ETM+ images were used to assess the performance of the NSPI. Results indicate that NSPI can restore the value of un-scanned pixels very accurately, and that it works especially well in heterogeneous regions. In addition, it can work well even if there is a relatively long time interval or significant spectral changes between the input and target image. The filled images appear reasonably spatially continuous without obvious striping patterns. Supervised classification using the maximum likelihood algorithm was done on both gap-filled simulated SLC-off data and the original \"gap free\" data set, and it was found that classification results, including accuracies, were very comparable. This indicates that gap-filled products generated by NSPI will have relevance to the user community for various land cover applications. In addition, the simple principle and high computational efficiency of NSPI will enable processing large volumes of SLC-off ETM+ data.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.rse.2010.12.010","issn":"00344257","usgsCitation":"Chen, J., Zhu, X., Vogelmann, J., Gao, F., and Jin, S., 2011, A simple and effective method for filling gaps in Landsat ETM+ SLC-off images: Remote Sensing of Environment, v. 115, no. 4, p. 1053-1064, https://doi.org/10.1016/j.rse.2010.12.010.","productDescription":"12 p.","startPage":"1053","endPage":"1064","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243518,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215697,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2010.12.010"}],"volume":"115","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e58ae4b0c8380cd46df1","contributors":{"authors":[{"text":"Chen, Jin","contributorId":202654,"corporation":false,"usgs":false,"family":"Chen","given":"Jin","email":"","affiliations":[],"preferred":false,"id":447245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Xiaolin","contributorId":202655,"corporation":false,"usgs":false,"family":"Zhu","given":"Xiaolin","email":"","affiliations":[],"preferred":false,"id":447242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogelmann, James E. 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":649,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":447241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gao, Feng 0000-0002-1865-2846","orcid":"https://orcid.org/0000-0002-1865-2846","contributorId":70671,"corporation":false,"usgs":false,"family":"Gao","given":"Feng","email":"","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":447244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jin, Suming 0000-0001-9919-8077 sjin@usgs.gov","orcid":"https://orcid.org/0000-0001-9919-8077","contributorId":4397,"corporation":false,"usgs":true,"family":"Jin","given":"Suming","email":"sjin@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":447243,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032611,"text":"70032611 - 2011 - Developing an operational rangeland water requirement satisfaction index","interactions":[],"lastModifiedDate":"2017-04-06T13:36:08","indexId":"70032611","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Developing an operational rangeland water requirement satisfaction index","docAbstract":"<p><span>Developing an operational water requirement satisfaction index (WRSI) for rangeland monitoring is an important goal of the famine early warning systems network. An operational WRSI has been developed for crop monitoring, but until recently a comparable WRSI for rangeland was not successful because of the extremely poor performance of the index when based on published crop coefficients (</span><i>K</i> <sub>c</sub><span>) for rangelands. To improve the rangeland WRSI, we developed a simple calibration technique that adjusts the </span><i>K</i> <sub>c</sub><span> values for rangeland monitoring using long-term rainfall distribution and reference evapotranspiration data. The premise for adjusting the </span><i>K</i> <sub>c</sub><span> values is based on the assumption that a viable rangeland should exhibit above-average WRSI (values &gt;80%) during a normal year. The normal year was represented by a median dekadal rainfall distribution (satellite rainfall estimate from 1996 to 2006). Similarly, a long-term average for potential evapotranspiration was used as input to the famine early warning systems network WRSI model in combination with soil-water-holding capacity data. A dekadal rangeland WRSI has been operational for east and west Africa since 2005. User feedback has been encouraging, especially with regard to the end-of-season WRSI anomaly products that compare the index's performance to ‘normal’ years. Currently, rangeland WRSI products are generated on a dekadal basis and posted for free distribution on the US Geological Survey early warning website at </span><a href=\"http://earlywarning.usgs.gov/adds/\" target=\"_blank\" data-mce-href=\"http://earlywarning.usgs.gov/adds/\">http://earlywarning.usgs.gov/adds/</a></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2010.516028","issn":"01431161","usgsCitation":"Senay, G.B., Verdin, J.P., and Rowland, J., 2011, Developing an operational rangeland water requirement satisfaction index: International Journal of Remote Sensing, v. 32, no. 21, p. 6047-6053, https://doi.org/10.1080/01431161.2010.516028.","productDescription":"7 p.","startPage":"6047","endPage":"6053","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241255,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213610,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.516028"}],"volume":"32","issue":"21","noUsgsAuthors":false,"publicationDate":"2011-08-11","publicationStatus":"PW","scienceBaseUri":"505a000ee4b0c8380cd4f56c","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":437047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":437049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":145846,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":437048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036213,"text":"70036213 - 2011 - Evaluation of TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis)'s predictive skill for hurricane-triggered landslides: A case study in Macon County, North Carolina","interactions":[],"lastModifiedDate":"2021-01-25T19:47:41.479357","indexId":"70036213","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis)'s predictive skill for hurricane-triggered landslides: A case study in Macon County, North Carolina","docAbstract":"<p><span>The key to advancing the predictability of rainfall-triggered landslides is to use physically based slope-stability models that simulate the transient dynamical response of the subsurface moisture to spatiotemporal variability of rainfall in complex terrains. TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis) is a USGS landslide prediction model, coded in Fortran, that accounts for the influences of hydrology, topography, and soil physics on slope stability. In this study, we quantitatively evaluate the spatiotemporal predictability of a Matlab version of TRIGRS (MaTRIGRS) in the Blue Ridge Mountains of Macon County, North Carolina where Hurricanes Ivan triggered widespread landslides in the 2004 hurricane season. High resolution digital elevation model (DEM) data (6-m LiDAR), USGS STATSGO soil database, and NOAA/NWS combined radar and gauge precipitation are used as inputs to the model. A local landslide inventory database from North Carolina Geological Survey is used to evaluate the MaTRIGRS’ predictive skill for the landslide locations and timing, identifying predictions within a 120-m radius of observed landslides over the 30-h period of Hurricane Ivan’s passage in September 2004. Results show that within a radius of 24&nbsp;m from the landslide location about 67% of the landslide, observations could be successfully predicted but with a high false alarm ratio (90%). If the radius of observation is extended to 120&nbsp;m, 98% of the landslides are detected with an 18% false alarm ratio. This study shows that MaTRIGRS demonstrates acceptable spatiotemporal predictive skill for landslide occurrences within a 120-m radius in space and a hurricane-event-duration (h) in time, offering the potential to serve as a landslide warning system in areas where accurate rainfall forecasts and detailed field data are available. The validation can be further improved with additional landslide information including the exact time of failure for each landslide and the landslide’s extent and run out length.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s11069-010-9670-y","issn":"0921030X","usgsCitation":"Liao, Z., Hong, Y., Kirschbaum, D., Adler, R., Gourley, J., and Wooten, R., 2011, Evaluation of TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis)'s predictive skill for hurricane-triggered landslides: A case study in Macon County, North Carolina: Natural Hazards, v. 58, no. 1, p. 325-339, https://doi.org/10.1007/s11069-010-9670-y.","productDescription":"15 p.","startPage":"325","endPage":"339","costCenters":[],"links":[{"id":246117,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218133,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11069-010-9670-y"}],"country":"United States","state":"North Carolina","county":"Macon","otherGeospatial":"Blue Ridge Mountains","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-83.6811,35.2794],[-83.6644,35.2835],[-83.4961,35.3004],[-83.4889,35.3043],[-83.4866,35.3044],[-83.4734,35.2993],[-83.4667,35.299],[-83.4583,35.3016],[-83.4493,35.315],[-83.4378,35.3217],[-83.4284,35.3247],[-83.414,35.3183],[-83.4101,35.3193],[-83.4003,35.3269],[-83.3885,35.3277],[-83.3654,35.3283],[-83.3599,35.333],[-83.3507,35.3288],[-83.338,35.3336],[-83.3317,35.3198],[-83.323,35.315],[-83.3126,35.2821],[-83.3149,35.2698],[-83.3083,35.26],[-83.2984,35.2548],[-83.2898,35.236],[-83.2862,35.2329],[-83.272,35.2292],[-83.2485,35.2326],[-83.2431,35.2382],[-83.2365,35.2425],[-83.2274,35.24],[-83.2178,35.2253],[-83.2246,35.1606],[-83.2126,35.1564],[-83.1962,35.1409],[-83.1868,35.1307],[-83.1758,35.1083],[-83.1494,35.0954],[-83.1451,35.0878],[-83.1459,35.08],[-83.1565,35.0775],[-83.1718,35.0671],[-83.1699,35.0608],[-83.1499,35.054],[-83.1341,35.0381],[-83.1314,35.0268],[-83.1224,35.013],[-83.1129,35.0141],[-83.1094,35.011],[-83.1076,35.0079],[-83.1052,35.002],[-83.1256,35.0014],[-83.4584,34.9946],[-83.4836,34.9946],[-83.4844,34.9946],[-83.4879,34.9981],[-83.5101,35.0047],[-83.5218,35.0026],[-83.5232,35.0093],[-83.5201,35.0154],[-83.5214,35.0185],[-83.5409,35.0393],[-83.5455,35.0414],[-83.55,35.0413],[-83.5573,35.0406],[-83.5656,35.0503],[-83.5628,35.0631],[-83.5664,35.0685],[-83.5838,35.0798],[-83.5854,35.0888],[-83.5998,35.097],[-83.613,35.1011],[-83.6165,35.1046],[-83.6165,35.116],[-83.6201,35.1218],[-83.6198,35.1282],[-83.6239,35.1303],[-83.6277,35.1279],[-83.6337,35.1232],[-83.6382,35.1244],[-83.6391,35.1308],[-83.636,35.1372],[-83.6384,35.139],[-83.647,35.1423],[-83.6503,35.1531],[-83.6572,35.1575],[-83.6589,35.157],[-83.6609,35.1519],[-83.6654,35.1504],[-83.6713,35.157],[-83.678,35.1568],[-83.6875,35.1542],[-83.6943,35.1554],[-83.7026,35.152],[-83.7128,35.1544],[-83.7265,35.1462],[-83.7387,35.1553],[-83.7319,35.1646],[-83.7301,35.1752],[-83.7243,35.1817],[-83.7122,35.1871],[-83.7102,35.1935],[-83.724,35.1994],[-83.7254,35.2039],[-83.7222,35.2081],[-83.715,35.212],[-83.708,35.2181],[-83.6971,35.2248],[-83.6929,35.2322],[-83.6916,35.24],[-83.6934,35.2426],[-83.6988,35.2479],[-83.6861,35.2665],[-83.6811,35.2794]]]},\"properties\":{\"name\":\"Macon\",\"state\":\"NC\"}}]}","volume":"58","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-01","publicationStatus":"PW","scienceBaseUri":"505a0c25e4b0c8380cd52a5a","contributors":{"authors":[{"text":"Liao, Z.","contributorId":107137,"corporation":false,"usgs":true,"family":"Liao","given":"Z.","email":"","affiliations":[],"preferred":false,"id":454917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hong, Y.","contributorId":67343,"corporation":false,"usgs":true,"family":"Hong","given":"Y.","email":"","affiliations":[],"preferred":false,"id":454915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirschbaum, D.","contributorId":41686,"corporation":false,"usgs":true,"family":"Kirschbaum","given":"D.","affiliations":[],"preferred":false,"id":454913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adler, R.F.","contributorId":31243,"corporation":false,"usgs":true,"family":"Adler","given":"R.F.","email":"","affiliations":[],"preferred":false,"id":454912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gourley, J.J.","contributorId":45557,"corporation":false,"usgs":true,"family":"Gourley","given":"J.J.","affiliations":[],"preferred":false,"id":454914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wooten, R.","contributorId":86610,"corporation":false,"usgs":true,"family":"Wooten","given":"R.","email":"","affiliations":[],"preferred":false,"id":454916,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036470,"text":"70036470 - 2011 - Unravelling long-term vegetation change patterns in a binational watershed using multitemporal land cover data and historical photography","interactions":[],"lastModifiedDate":"2021-01-08T19:12:03.452045","indexId":"70036470","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Unravelling long-term vegetation change patterns in a binational watershed using multitemporal land cover data and historical photography","docAbstract":"<p><span>A significant amount of research conducted in the Sonoran Desert of North America has documented, both anecdotally and empirically, major vegetation changes over the past century due to human land use activities. However, many studies lack coincidental landscape-scale data characterizing the spatial and temporal manifestation of these changes. Vegetation changes in a binational (USA and Mexico) watershed were documented using a series of four land cover maps (1979-2009) derived from multispectral satellite imagery. Cover changes are compared to georeferenced, repeat oblique photographs dating from the late 19&nbsp;</span><sup>th</sup><span>&nbsp;century to present. Results indicate the expansion of grassland over the past 20 years following nearly a century of decline. Historical repeat photography documents early-mid 20&nbsp;</span><sup>th</sup><span>&nbsp;century mesquite invasions, but recent land cover data and rephotography demonstrate declines in xeroriparian/riparian mesquite communities in recent decades. These vegetation changes are variable over the landscape and influenced by topography and land management.</span></p>","largerWorkTitle":"2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings","conferenceTitle":"2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011","conferenceDate":"July 12-14, 2011","conferenceLocation":"Trento, Italy","language":"English","doi":"10.1109/Multi-Temp.2011.6005058","isbn":"9781457712036","usgsCitation":"Villarreal, M., Norman, L.M., Webb, R., Boyer, D.E., and Turner, R., 2011, Unravelling long-term vegetation change patterns in a binational watershed using multitemporal land cover data and historical photography, <i>in</i> 2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings, Trento, Italy, July 12-14, 2011, p. 101-104, https://doi.org/10.1109/Multi-Temp.2011.6005058.","productDescription":"4 p.","startPage":"101","endPage":"104","costCenters":[],"links":[{"id":246613,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218587,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/Multi-Temp.2011.6005058"}],"country":"United States","state":"Arizona, California","otherGeospatial":"Sonoran Desert of North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.85107421875,\n              32.509761735919426\n            ],\n            [\n              -111.533203125,\n              31.50362930577303\n            ],\n            [\n              -109.3359375,\n              33.94335994657882\n            ],\n            [\n              -115.04882812499999,\n              34.95799531086792\n            ],\n            [\n              -114.85107421875,\n              32.509761735919426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbcdfe4b08c986b328e4d","contributors":{"authors":[{"text":"Villarreal, M.L.","contributorId":74254,"corporation":false,"usgs":true,"family":"Villarreal","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":456302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":456300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert rhwebb@usgs.gov","contributorId":187755,"corporation":false,"usgs":true,"family":"Webb","given":"Robert","email":"rhwebb@usgs.gov","affiliations":[],"preferred":true,"id":456299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, Diane E.","contributorId":22018,"corporation":false,"usgs":true,"family":"Boyer","given":"Diane","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":456303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turner, R.E.","contributorId":39749,"corporation":false,"usgs":false,"family":"Turner","given":"R.E.","email":"","affiliations":[{"id":16756,"text":"Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":456301,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036383,"text":"70036383 - 2011 - Tiny intraplate earthquakes triggered by nearby episodic tremor and slip in Cascadia","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036383","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Tiny intraplate earthquakes triggered by nearby episodic tremor and slip in Cascadia","docAbstract":"Episodic tremor and slip (ETS) has been observed in many subduction zones, but its mechanical underpinnings as well as its potential for triggering damaging earthquakes have proven difficult to assess. Here we use a seismic array in Cascadia of unprecedented density to monitor seismicity around a moderate 16 day ETS episode. In the 4 months of data we examine, we observe five tiny earthquakes within the subducting slab during the episode and only one more in the same area, which was just before and nearby the next ETS burst. These earthquakes concentrate along the sides and updip edge of the ETS region, consistent with greater stress concentration there than near the middle and downdip edge of the tremor area. Most of the seismicity is below the megathrust, with a similar depth extent to the background intraslab seismicity. The pattern of earthquakes that we find suggests slow slip has a more continuous temporal and spatial pattern than the tremor loci, which notoriously appear in bursts, jumps, and streaks. Copyright 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemistry, Geophysics, Geosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011GC003559","issn":"15252027","usgsCitation":"Vidale, J., Hotovec, A., Ghosh, A., Creager, K.C., and Gomberg, J., 2011, Tiny intraplate earthquakes triggered by nearby episodic tremor and slip in Cascadia: Geochemistry, Geophysics, Geosystems, v. 12, no. 6, https://doi.org/10.1029/2011GC003559.","costCenters":[],"links":[{"id":488026,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gc003559","text":"Publisher Index Page"},{"id":218260,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GC003559"},{"id":246255,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-06-15","publicationStatus":"PW","scienceBaseUri":"505bb40ee4b08c986b326156","contributors":{"authors":[{"text":"Vidale, J.E.","contributorId":55849,"corporation":false,"usgs":true,"family":"Vidale","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":455818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hotovec, A.J.","contributorId":82954,"corporation":false,"usgs":true,"family":"Hotovec","given":"A.J.","affiliations":[],"preferred":false,"id":455819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ghosh, A.","contributorId":17407,"corporation":false,"usgs":true,"family":"Ghosh","given":"A.","email":"","affiliations":[],"preferred":false,"id":455817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Creager, K. C.","contributorId":105078,"corporation":false,"usgs":true,"family":"Creager","given":"K.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":455821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gomberg, J.","contributorId":95994,"corporation":false,"usgs":true,"family":"Gomberg","given":"J.","email":"","affiliations":[],"preferred":false,"id":455820,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037024,"text":"70037024 - 2011 - Predicting carnivore occurrence with noninvasive surveys and occupancy modeling","interactions":[],"lastModifiedDate":"2017-05-18T13:12:41","indexId":"70037024","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting carnivore occurrence with noninvasive surveys and occupancy modeling","docAbstract":"<p><span>Terrestrial carnivores typically have large home ranges and exist at low population densities, thus presenting challenges to wildlife researchers. We employed multiple, noninvasive survey methods&mdash;scat detection dogs, remote cameras, and hair snares&mdash;to collect detection&ndash;nondetection data for elusive American black bears (</span><i class=\"a-plus-plus\">Ursus americanus</i><span>), fishers (</span><i class=\"a-plus-plus\">Martes pennanti)</i><span>, and bobcats (</span><i class=\"a-plus-plus\">Lynx rufus</i><span>) throughout the rugged Vermont landscape. We analyzed these data using occupancy modeling that explicitly incorporated detectability as well as habitat and landscape variables. For black bears, percentage of forested land within 5&nbsp;km of survey sites was an important positive predictor of occupancy, and percentage of human developed land within 5&nbsp;km was a negative predictor. Although the relationship was less clear for bobcats, occupancy appeared positively related to the percentage of both mixed forest and forested wetland habitat within 1&nbsp;km of survey sites. The relationship between specific covariates and fisher occupancy was unclear, with no specific habitat or landscape variables directly related to occupancy. For all species, we used model averaging to predict occurrence across the study area. Receiver operating characteristic (ROC) analyses of our black bear and fisher models suggested that occupancy modeling efforts with data from noninvasive surveys could be useful for carnivore conservation and management, as they provide insights into habitat use at the regional and landscape scale without requiring capture or direct observation of study species.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-010-9547-1","issn":"09212973","usgsCitation":"Long, R.A., Donovan, T., MacKay, P., Zielinski, W.J., and Buzas, J.S., 2011, Predicting carnivore occurrence with noninvasive surveys and occupancy modeling: Landscape Ecology, v. 26, no. 3, p. 327-340, https://doi.org/10.1007/s10980-010-9547-1.","productDescription":"14 p.","startPage":"327","endPage":"340","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013148","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":245049,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217130,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10980-010-9547-1"}],"country":"United States","state":"Vermont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.2733154296875,\n              42.744995166137286\n            ],\n            [\n              -72.45483398437499,\n              42.7288567472319\n            ],\n            [\n              -72.55645751953124,\n              42.850799307092515\n            ],\n            [\n              -72.50701904296875,\n              42.96446257387128\n            ],\n            [\n           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-73.355712890625,\n              43.77902662160831\n            ],\n            [\n              -73.4271240234375,\n              43.59232754538541\n            ],\n            [\n              -73.38592529296875,\n              43.56845179881218\n            ],\n            [\n              -73.3612060546875,\n              43.628123412124616\n            ],\n            [\n              -73.30078125,\n              43.620170616189895\n            ],\n            [\n              -73.24310302734375,\n              43.54058479482877\n            ],\n            [\n              -73.2733154296875,\n              42.744995166137286\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-10-23","publicationStatus":"PW","scienceBaseUri":"505a81aee4b0c8380cd7b685","contributors":{"authors":[{"text":"Long, Robert A.","contributorId":11732,"corporation":false,"usgs":false,"family":"Long","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":459024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Therese M. tdonovan@usgs.gov","contributorId":2653,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese M.","email":"tdonovan@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":459028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKay, Paula","contributorId":37042,"corporation":false,"usgs":false,"family":"MacKay","given":"Paula","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":459026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zielinski, William J.","contributorId":35440,"corporation":false,"usgs":false,"family":"Zielinski","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":459025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buzas, Jeffrey S.","contributorId":86080,"corporation":false,"usgs":false,"family":"Buzas","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":459027,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70035870,"text":"70035870 - 2011 - Prostate cancer outcome and tissue levels of metal ions","interactions":[],"lastModifiedDate":"2017-06-29T14:07:06","indexId":"70035870","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3197,"text":"Prostate","active":true,"publicationSubtype":{"id":10}},"title":"Prostate cancer outcome and tissue levels of metal ions","docAbstract":"<h3>BACKGROUND</h3><p>There are several studies examining prostate cancer and exposure to cadmium, iron, selenium, and zinc. Less data are available on the possible influence of these metal ions on prostate cancer outcome. This study measured levels of these ions in prostatectomy samples in order to examine possible associations between metal concentrations and disease outcome.</p><h3>METHODS</h3><p>We obtained formalin fixed paraffin embedded tissue blocks of prostatectomy samples of 40 patients with PSA recurrence, matched 1:1 (for year of surgery, race, age, Gleason grading, and pathology TNM classification) with tissue blocks from 40 patients without recurrence (n = 80). Case–control pairs were compared for the levels of metals in areas adjacent to tumors. Inductively coupled plasma-mass spectrometry (ICP-MS) was used for quantification of Cd, Fe, Zn, and Se.</p><h3>RESULTS</h3><p>Patients with biochemical (PSA) recurrence of disease had 12% lower median iron (95 µg/g vs. 111 µg/g;<span>&nbsp;</span><i>P</i> = 0.04) and 21% lower zinc (279 µg/g vs. 346 µg/g;<span>&nbsp;</span><i>P</i> = 0.04) concentrations in the normal-appearing tissue immediately adjacent to cancer areas. Differences in cadmium (0.489 µg/g vs. 0.439 µg/g; 4% higher) and selenium (1.68 µg/g vs. 1.58 µg/g; 5% higher) levels were not statistically significant in recurrence cases, when compared to non-recurrences (<i>P</i> = 0.40 and 0.21, respectively).</p><h3>CONCLUSIONS</h3><p>There is an association between low zinc and low iron prostate tissue levels and biochemical recurrence in prostate cancer. Whether these novel findings are a cause or effect of more aggressive tumors, or whether low zinc and iron prostatic levels raise implications for therapy, remains to be investigated.<span>&nbsp;</span></p>","language":"English","publisher":"Wiley ","doi":"10.1002/pros.21339","issn":"02704137","usgsCitation":"Sarafanov, A., Todorov, T., Centeno, J., MacIas, V., Gao, W., Liang, W., Beam, C., Gray, M.A., and Kajdacsy-Balla, A., 2011, Prostate cancer outcome and tissue levels of metal ions: Prostate, v. 71, no. 11, p. 1231-1238, https://doi.org/10.1002/pros.21339.","productDescription":"8 p.","startPage":"1231","endPage":"1238","ipdsId":"IP-024814","costCenters":[],"links":[{"id":244279,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216410,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/pros.21339"}],"volume":"71","issue":"11","noUsgsAuthors":false,"publicationDate":"2011-01-26","publicationStatus":"PW","scienceBaseUri":"505a8f5ee4b0c8380cd7f705","contributors":{"authors":[{"text":"Sarafanov, A.G.","contributorId":85418,"corporation":false,"usgs":true,"family":"Sarafanov","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":452839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todorov, T.I.","contributorId":10995,"corporation":false,"usgs":true,"family":"Todorov","given":"T.I.","email":"","affiliations":[],"preferred":false,"id":452832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Centeno, J.A.","contributorId":73806,"corporation":false,"usgs":true,"family":"Centeno","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":452837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacIas, V.","contributorId":107114,"corporation":false,"usgs":true,"family":"MacIas","given":"V.","email":"","affiliations":[],"preferred":false,"id":452840,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gao, W.","contributorId":42031,"corporation":false,"usgs":true,"family":"Gao","given":"W.","email":"","affiliations":[],"preferred":false,"id":452834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liang, W.-M.","contributorId":54430,"corporation":false,"usgs":true,"family":"Liang","given":"W.-M.","email":"","affiliations":[],"preferred":false,"id":452835,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beam, C.","contributorId":66092,"corporation":false,"usgs":true,"family":"Beam","given":"C.","email":"","affiliations":[],"preferred":false,"id":452836,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gray, Marion A.","contributorId":193926,"corporation":false,"usgs":false,"family":"Gray","given":"Marion","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":702625,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kajdacsy-Balla, A.","contributorId":81319,"corporation":false,"usgs":true,"family":"Kajdacsy-Balla","given":"A.","email":"","affiliations":[],"preferred":false,"id":452838,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70035868,"text":"70035868 - 2011 - Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Overview of scientific and technical program","interactions":[],"lastModifiedDate":"2021-02-08T21:35:59.592744","indexId":"70035868","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Overview of scientific and technical program","docAbstract":"<p><span>The Mount Elbert Gas Hydrate Stratigraphic Test Well was drilled within the Alaska North Slope (ANS) Milne Point Unit (MPU) from February 3 to 19, 2007. The well was conducted as part of a Cooperative Research Agreement (CRA) project co-sponsored since 2001 by BP Exploration (Alaska), Inc. (BPXA) and the U.S. Department of Energy (DOE) in collaboration with the U.S. Geological Survey (USGS) to help determine whether ANS gas hydrate can become a technically and commercially viable gas resource. Early in the effort, regional reservoir characterization and reservoir simulation modeling studies indicated that up to 0.34 trillion cubic meters (tcm; 12 trillion cubic feet, tcf) gas may be technically recoverable from 0.92 tcm (33 tcf) gas-in-place within the Eileen gas hydrate accumulation near industry infrastructure within ANS MPU, Prudhoe Bay Unit (PBU), and Kuparuk River Unit (KRU) areas. To further constrain these estimates and to enable the selection of a test site for further data acquisition, the USGS reprocessed and interpreted MPU 3D seismic data provided by BPXA to delineate 14 prospects containing significant highly-saturated gas hydrate-bearing sand reservoirs. The “Mount Elbert” site was selected to drill a stratigraphic test well to acquire a full suite of wireline log, core, and formation pressure test data. Drilling results and data interpretation confirmed pre-drill predictions and thus increased confidence in both the prospect interpretation methods and in the wider ANS gas hydrate resource estimates. The interpreted data from the Mount Elbert well provide insight into and reduce uncertainty of key gas hydrate-bearing reservoir properties, enable further refinement and validation of the numerical simulation of the production potential of both MPU and broader ANS gas hydrate resources, and help determine viability of potential field sites for future extended term production testing. Drilling and data acquisition operations demonstrated that gas hydrate scientific research programs can be safely, effectively, and efficiently conducted within ANS infrastructure. The program success resulted in a technical team recommendation to project management to drill and complete a long-term production test within the area of existing ANS infrastructure. If approved by stakeholders, this long-term test would build on prior arctic research efforts to better constrain the potential gas rates and volumes that could be produced from gas hydrate-bearing sand reservoirs.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2010.02.015","issn":"02648172","usgsCitation":"Hunter, R., Collett, T.S., Boswell, R., Anderson, B., Digert, S., Pospisil, G., Baker, R., and Weeks, M., 2011, Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Overview of scientific and technical program: Marine and Petroleum Geology, v. 28, no. 2, p. 295-310, https://doi.org/10.1016/j.marpetgeo.2010.02.015.","productDescription":"16 p.","startPage":"295","endPage":"310","costCenters":[],"links":[{"id":244248,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216384,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2010.02.015"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -167.6953125,\n              67.47492238478702\n            ],\n            [\n              -140.888671875,\n              67.47492238478702\n            ],\n            [\n              -140.888671875,\n              71.52490903732816\n            ],\n            [\n              -167.6953125,\n              71.52490903732816\n            ],\n            [\n              -167.6953125,\n              67.47492238478702\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5e91e4b0c8380cd70b20","contributors":{"authors":[{"text":"Hunter, R.B.","contributorId":29538,"corporation":false,"usgs":true,"family":"Hunter","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":452821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":452827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boswell, R.","contributorId":35121,"corporation":false,"usgs":true,"family":"Boswell","given":"R.","affiliations":[],"preferred":false,"id":452822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, B.J.","contributorId":70914,"corporation":false,"usgs":true,"family":"Anderson","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":452825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Digert, S.A.","contributorId":60047,"corporation":false,"usgs":true,"family":"Digert","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":452823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pospisil, G.","contributorId":77767,"corporation":false,"usgs":true,"family":"Pospisil","given":"G.","email":"","affiliations":[],"preferred":false,"id":452826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baker, R.","contributorId":11542,"corporation":false,"usgs":true,"family":"Baker","given":"R.","affiliations":[],"preferred":false,"id":452820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weeks, M.","contributorId":62432,"corporation":false,"usgs":true,"family":"Weeks","given":"M.","email":"","affiliations":[],"preferred":false,"id":452824,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70034726,"text":"70034726 - 2011 - Fundamental studies on kinetic isotope effect (KIE) of hydrogen isotope fractionation in natural gas systems","interactions":[],"lastModifiedDate":"2021-04-14T11:39:27.797137","indexId":"70034726","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Fundamental studies on kinetic isotope effect (KIE) of hydrogen isotope fractionation in natural gas systems","docAbstract":"<p><span>Based on&nbsp;quantum chemistry&nbsp;calculations for normal octane homolytic cracking, a kinetic&nbsp;hydrogen isotope&nbsp;fractionation model for methane, ethane, and&nbsp;propane&nbsp;formation is proposed. The activation energy differences between D-substitute and non-substituted methane, ethane, and propane are 318.6, 281.7, and 280.2</span><span>&nbsp;</span><span>cal/mol, respectively. In order to determine the effect of the entropy contribution for hydrogen isotopic substitution, a transition state for ethane bond rupture was determined based on density function theory (DFT) calculations. The kinetic&nbsp;isotope effect&nbsp;(KIE) associated with bond rupture in D and H substituted ethane results in a frequency factor ratio of 1.07. Based on the proposed&nbsp;mathematical model&nbsp;of hydrogen isotope fractionation, one can potentially quantify natural gas&nbsp;thermal maturity&nbsp;from measured hydrogen isotope values. Calculated gas maturity values determined by the proposed mathematical model using δD values in ethane from several basins in the world are in close agreement with similar predictions based on the δ</span><sup>13</sup><span>C composition of ethane. However, gas maturity values calculated from field data of methane and propane using both hydrogen and carbon kinetic isotopic models do not agree as closely. It is possible that δD values in methane may be affected by microbial mixing and that propane values might be more susceptible to hydrogen exchange with water or to analytical errors. Although the model used in this study is quite preliminary, the results demonstrate that kinetic isotope fractionation effects in hydrogen may be useful in quantitative models of natural gas generation, and that δD values in ethane might be more suitable for modeling than comparable values in methane and propane.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2011.02.016","issn":"00167037","usgsCitation":"Ni, Y., Ma, Q., Ellis, G., Dai, J., Katz, B., Zhang, S., and Tang, Y., 2011, Fundamental studies on kinetic isotope effect (KIE) of hydrogen isotope fractionation in natural gas systems: Geochimica et Cosmochimica Acta, v. 75, no. 10, p. 2696-2707, https://doi.org/10.1016/j.gca.2011.02.016.","productDescription":"12 p.","startPage":"2696","endPage":"2707","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":243451,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1419e4b0c8380cd548e7","contributors":{"authors":[{"text":"Ni, Y.","contributorId":49204,"corporation":false,"usgs":true,"family":"Ni","given":"Y.","email":"","affiliations":[],"preferred":false,"id":447222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ma, Q.","contributorId":78450,"corporation":false,"usgs":true,"family":"Ma","given":"Q.","email":"","affiliations":[],"preferred":false,"id":447224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, G.S. 0000-0003-4519-3320","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":91064,"corporation":false,"usgs":true,"family":"Ellis","given":"G.S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":447225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dai, J.","contributorId":21781,"corporation":false,"usgs":true,"family":"Dai","given":"J.","email":"","affiliations":[],"preferred":false,"id":447220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katz, Brian","contributorId":33484,"corporation":false,"usgs":true,"family":"Katz","given":"Brian","affiliations":[],"preferred":false,"id":447221,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, S.","contributorId":51064,"corporation":false,"usgs":true,"family":"Zhang","given":"S.","email":"","affiliations":[],"preferred":false,"id":447223,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tang, Y.","contributorId":104199,"corporation":false,"usgs":true,"family":"Tang","given":"Y.","affiliations":[],"preferred":false,"id":447226,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70032588,"text":"70032588 - 2011 - Earth observing data and methods for advancing water harvesting technologies in the semi-arid rain-fed environments of India","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70032588","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Earth observing data and methods for advancing water harvesting technologies in the semi-arid rain-fed environments of India","docAbstract":"The paper develops approaches and methods of modeling and mapping land and water productivity of rain-fed crops in semi-arid environments of India using hyperspectral, hyperspatial, and advanced multispectral remote sensing data and linking the same to field-plot data and climate station data. The overarching goal is to provide information to advance water harvesting technologies in the agricultural croplands of the semi-arid environments of India by conducting research in a representative pilot site in Jodhpur, Rajasthan, India. ?? 2011 IEEE.","largerWorkTitle":"Proceedings - 2011 IEEE Global Humanitarian Technology Conference, GHTC 2011","conferenceTitle":"2011 IEEE Global Humanitarian Technology Conference, GHTC 2011","conferenceDate":"30 October 2011 through 1 November 2011","conferenceLocation":"Seattle, WA","language":"English","doi":"10.1109/GHTC.2011.68","isbn":"9780769545950","usgsCitation":"Sharma, C., Thenkabail, P., and Sharma, R.R., 2011, Earth observing data and methods for advancing water harvesting technologies in the semi-arid rain-fed environments of India, <i>in</i> Proceedings - 2011 IEEE Global Humanitarian Technology Conference, GHTC 2011, Seattle, WA, 30 October 2011 through 1 November 2011, p. 189-193, https://doi.org/10.1109/GHTC.2011.68.","startPage":"189","endPage":"193","numberOfPages":"5","costCenters":[],"links":[{"id":213791,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/GHTC.2011.68"},{"id":241450,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a049ae4b0c8380cd50a9f","contributors":{"authors":[{"text":"Sharma, C.","contributorId":22134,"corporation":false,"usgs":true,"family":"Sharma","given":"C.","email":"","affiliations":[],"preferred":false,"id":436955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, P.","contributorId":77369,"corporation":false,"usgs":true,"family":"Thenkabail","given":"P.","email":"","affiliations":[],"preferred":false,"id":436957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharma, R. R.","contributorId":44363,"corporation":false,"usgs":true,"family":"Sharma","given":"R.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":436956,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033953,"text":"70033953 - 2011 - Advancing environmental toxicology through chemical dosimetry: External exposures versus tissue residues","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033953","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Advancing environmental toxicology through chemical dosimetry: External exposures versus tissue residues","docAbstract":"The tissue residue dose concept has been used, although in a limited manner, in environmental toxicology for more than 100 y. This review outlines the history of this approach and the technical background for organic chemicals and metals. Although the toxicity of both can be explained in tissue residue terms, the relationship between external exposure concentration, body and/or tissues dose surrogates, and the effective internal dose at the sites of toxic action tends to be more complex for metals. Various issues and current limitations related to research and regulatory applications are also examined. It is clear that the tissue residue approach (TRA) should be an integral component in future efforts to enhance the generation, understanding, and utility of toxicity testing data, both in the laboratory and in the field. To accomplish these goals, several key areas need to be addressed: 1) development of a risk-based interpretive framework linking toxicology and ecology at multiple levels of biological organization and incorporating organism-based dose metrics; 2) a broadly applicable, generally accepted classification scheme for modes/mechanisms of toxic action with explicit consideration of residue information to improve both single chemical and mixture toxicity data interpretation and regulatory risk assessment; 3) toxicity testing protocols updated to ensure collection of adequate residue information, along with toxicokinetics and toxicodynamics information, based on explicitly defined toxicological models accompanied by toxicological model validation; 4) continued development of residueeffect databases is needed ensure their ongoing utility; and 5) regulatory guidance incorporating residue-based testing and interpretation approaches, essential in various jurisdictions. ??:2010 SETAC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Integrated Environmental Assessment and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/ieam.98","issn":"15513793","usgsCitation":"McCarty, L., Landrum, P., Luoma, S., Meador, J., Merten, A., Shephard, B., and van Wezelzz, A., 2011, Advancing environmental toxicology through chemical dosimetry: External exposures versus tissue residues: Integrated Environmental Assessment and Management, v. 7, no. 1, p. 7-27, https://doi.org/10.1002/ieam.98.","startPage":"7","endPage":"27","numberOfPages":"21","costCenters":[],"links":[{"id":241849,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214155,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ieam.98"}],"volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-01","publicationStatus":"PW","scienceBaseUri":"5059e706e4b0c8380cd477da","contributors":{"authors":[{"text":"McCarty, L.S.","contributorId":10237,"corporation":false,"usgs":true,"family":"McCarty","given":"L.S.","email":"","affiliations":[],"preferred":false,"id":443358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landrum, P.F.","contributorId":98423,"corporation":false,"usgs":true,"family":"Landrum","given":"P.F.","email":"","affiliations":[],"preferred":false,"id":443363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, S. N.","contributorId":86353,"corporation":false,"usgs":true,"family":"Luoma","given":"S. N.","affiliations":[],"preferred":false,"id":443362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meador, J.P.","contributorId":68545,"corporation":false,"usgs":true,"family":"Meador","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":443361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merten, A.A.","contributorId":34336,"corporation":false,"usgs":true,"family":"Merten","given":"A.A.","email":"","affiliations":[],"preferred":false,"id":443359,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shephard, B.K.","contributorId":102700,"corporation":false,"usgs":true,"family":"Shephard","given":"B.K.","email":"","affiliations":[],"preferred":false,"id":443364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van Wezelzz, A.P.","contributorId":66076,"corporation":false,"usgs":true,"family":"van Wezelzz","given":"A.P.","email":"","affiliations":[],"preferred":false,"id":443360,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70037017,"text":"70037017 - 2011 - The secret to successful solute-transport modeling","interactions":[],"lastModifiedDate":"2020-01-14T10:33:01","indexId":"70037017","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"The secret to successful solute-transport modeling","docAbstract":"Modeling subsurface solute transport is difficult—more so than modeling heads and flows. The classical governing equation does not always adequately represent what we see at the field scale. In such cases, commonly used numerical models are solving the wrong equation. Also, the transport equation is hyperbolic where advection is dominant, and parabolic where hydrodynamic dispersion is dominant. No single numerical method works well for all conditions, and for any given complex field problem, where seepage velocity is highly variable, no one method will be optimal everywhere. Although we normally expect a numerically accurate solution to the governing groundwater-flow equation, errors in concentrations from numerical dispersion and/or oscillations may be large in some cases. The accuracy and efficiency of the numerical solution to the solute-transport equation are more sensitive to the numerical method chosen than for typical groundwater-flow problems. However, numerical errors can be kept within acceptable limits if sufficient computational effort is expended. But impractically long\nsimulation times may promote a tendency to ignore or accept numerical errors. One approach to effective solutetransport modeling is to keep the model relatively simple and use it to test and improve conceptual understanding of the system and the problem at hand. It should not be expected that all concentrations observed in the field can be reproduced. Given a knowledgeable analyst, a reasonable description of a hydrogeologic framework, and the\navailability of solute-concentration data, the secret to successful solute-transport modeling may simply be to lower expectations.","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2010.00764.x","issn":"0017467X","usgsCitation":"Konikow, L.F., 2011, The secret to successful solute-transport modeling: Ground Water, v. 49, no. 2, p. 144-159, https://doi.org/10.1111/j.1745-6584.2010.00764.x.","productDescription":"16 p.","startPage":"144","endPage":"159","numberOfPages":"16","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":245365,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-10-29","publicationStatus":"PW","scienceBaseUri":"505ba8e3e4b08c986b321f00","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":458985,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70035272,"text":"70035272 - 2011 - Near-field hazard assessment of March 11, 2011 Japan Tsunami sources inferred from different methods","interactions":[],"lastModifiedDate":"2021-03-08T12:35:24.696834","indexId":"70035272","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Near-field hazard assessment of March 11, 2011 Japan Tsunami sources inferred from different methods","docAbstract":"<p><span>Tsunami source is the origin of the subsequent transoceanic water waves, and thus the most critical component in modern tsunami forecast methodology. Although impractical to be quantified directly, a tsunami source can be estimated by different methods based on a variety of measurements provided by deep-ocean tsunameters, seismometers, GPS, and other advanced instruments, some in real time, some in post real-time. Here we assess these different sources of the devastating March 11, 2011 Japan tsunami by model-data comparison for generation, propagation and inundation in the near field of Japan. This study provides a comparative study to further understand the advantages and shortcomings of different methods that may be potentially used in real-time warning and forecast of tsunami hazards, especially in the near field. The model study also highlights the critical role of deep-ocean tsunami measurements for high-quality tsunami forecast, and its combination with land GPS measurements may lead to better understanding of both the earthquake mechanisms and tsunami generation process.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"OCEANS'11 - MTS/IEEE Kona, Program Book","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"MTS/IEEE Kona Conference, OCEANS'11","conferenceDate":"September 19-22, 2011","conferenceLocation":"Kona, HI","language":"English","publisher":"IEEE","doi":"10.23919/OCEANS.2011.6107294","isbn":"9781457714276","usgsCitation":"Wei, Y., Titov, V., Newman, A., Hayes, G., Tang, L., and Chamberlin, C., 2011, Near-field hazard assessment of March 11, 2011 Japan Tsunami sources inferred from different methods, <i>in</i> OCEANS'11 - MTS/IEEE Kona, Program Book, Kona, HI, September 19-22, 2011, 9 p., https://doi.org/10.23919/OCEANS.2011.6107294.","productDescription":"9 p.","costCenters":[],"links":[{"id":243070,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[134.63843,34.14923],[134.76638,33.80633],[134.20342,33.20118],[133.79295,33.52199],[133.28027,33.28957],[133.01486,32.70457],[132.36311,32.98938],[132.37118,33.46364],[132.92437,34.0603],[133.49297,33.94462],[133.90411,34.36493],[134.63843,34.14923]]],[[[140.97639,37.14207],[140.59977,36.34398],[140.77407,35.84288],[140.25328,35.13811],[138.97553,34.6676],[137.2176,34.60629],[135.79298,33.46481],[135.12098,33.84907],[135.07943,34.59654],[133.34032,34.37594],[132.15677,33.90493],[130.98614,33.88576],[132.00004,33.14999],[131.33279,31.45035],[130.68632,31.02958],[130.20242,31.41824],[130.44768,32.31947],[129.81469,32.61031],[129.40846,33.29606],[130.35394,33.60415],[130.87845,34.23274],[131.88423,34.74971],[132.61767,35.43339],[134.6083,35.73162],[135.67754,35.52713],[136.72383,37.30498],[137.39061,36.82739],[138.8576,37.82748],[139.4264,38.21596],[140.05479,39.43881],[139.88338,40.56331],[140.30578,41.19501],[141.36897,41.37856],[141.91426,39.99162],[141.8846,39.18086],[140.95949,38.174],[140.97639,37.14207]]],[[[143.91016,44.1741],[144.61343,43.96088],[145.32083,44.38473],[145.54314,43.26209],[144.05966,42.98836],[143.18385,41.99521],[141.61149,42.67879],[141.06729,41.58459],[139.95511,41.56956],[139.81754,42.56376],[140.31209,43.33327],[141.38055,43.38882],[141.67195,44.77213],[141.96764,45.55148],[143.14287,44.51036],[143.91016,44.1741]]]]},\"properties\":{\"name\":\"Japan\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a63dee4b0c8380cd72749","contributors":{"authors":[{"text":"Wei, Y.","contributorId":9502,"corporation":false,"usgs":true,"family":"Wei","given":"Y.","email":"","affiliations":[],"preferred":false,"id":449971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Titov, V.V.","contributorId":48752,"corporation":false,"usgs":true,"family":"Titov","given":"V.V.","email":"","affiliations":[],"preferred":false,"id":449973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newman, A.","contributorId":32791,"corporation":false,"usgs":true,"family":"Newman","given":"A.","affiliations":[],"preferred":false,"id":449972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, G.","contributorId":81349,"corporation":false,"usgs":true,"family":"Hayes","given":"G.","affiliations":[],"preferred":false,"id":449975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Liujuan","contributorId":34045,"corporation":false,"usgs":true,"family":"Tang","given":"Liujuan","email":"","affiliations":[],"preferred":false,"id":449976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chamberlin, C.","contributorId":76197,"corporation":false,"usgs":true,"family":"Chamberlin","given":"C.","email":"","affiliations":[],"preferred":false,"id":449974,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036700,"text":"70036700 - 2011 - Regional spectral analysis of three moderate earthquakes in Northeastern North America","interactions":[],"lastModifiedDate":"2012-12-18T10:20:08","indexId":"70036700","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Regional spectral analysis of three moderate earthquakes in Northeastern North America","docAbstract":"We analyze Fourier spectra obtained from the horizontal components of broadband and accelerogram data from the 1997 Cap-Rouge, the 2002 Ausable Forks, and the 2005 Rivière-du-Loup earthquakes, recorded by Canadian and American stations sited on rock at hypocentral distances from 23 to 602 km. We check the recorded spectra closely for anomalies that might result from site resonance or source effects. We use Beresnev and Atkinson’s (1997) near-surface velocity structures and Boore and Joyner’s (1997) quarter-wave method to estimate site response at hard- and soft-rock sites. We revise the Street <i>et al.</i> (1975) model for geometrical spreading, adopting a crossover distance of r<sub>o</sub>=50 km instead of 100 km. We obtain an average attenuation of <i>Q</i>=410±25f<sup>0.50±0.03</sup> for <i>S+L<sub>g</sub></i>+surface waves with ray paths in the Appalachian and southeastern Grenville Provinces. We correct the recorded spectra for attenuation and site response to estimate source spectral shape and radiated energy for these three earthquakes and the 1988 <b>M</b> 5.8 Saguenay earthquake. The Brune stress drops range from 130 to 419 bars, and the apparent stresses range from 39 to 63 bars. The corrected source spectral shapes of these earthquakes are somewhat variable for frequencies from 0.2 to 2 Hz, falling slightly below the fitted Brune spectra.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120100225","issn":"00371106","usgsCitation":"Boatwright, J., and Seekins, L.C., 2011, Regional spectral analysis of three moderate earthquakes in Northeastern North America: Bulletin of the Seismological Society of America, v. 101, no. 4, p. 1769-1782, https://doi.org/10.1785/0120100225.","productDescription":"14 p.","startPage":"1769","endPage":"1782","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":217532,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120100225"},{"id":245485,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States;Canada","volume":"101","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-08-01","publicationStatus":"PW","scienceBaseUri":"50d20c9de4b08b071e771bbf","contributors":{"authors":[{"text":"Boatwright, John 0000-0002-6931-5241 boat@usgs.gov","orcid":"https://orcid.org/0000-0002-6931-5241","contributorId":1938,"corporation":false,"usgs":true,"family":"Boatwright","given":"John","email":"boat@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":457426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seekins, Linda C.","contributorId":14811,"corporation":false,"usgs":true,"family":"Seekins","given":"Linda","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":457427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036702,"text":"70036702 - 2011 - Efficacy of monitoring and empirical predictive modeling at improving public health protection at Chicago beaches","interactions":[],"lastModifiedDate":"2012-12-30T20:38:21","indexId":"70036702","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of monitoring and empirical predictive modeling at improving public health protection at Chicago beaches","docAbstract":"Efforts to improve public health protection in recreational swimming waters have focused on obtaining real-time estimates of water quality. Current monitoring techniques rely on the time-intensive culturing of fecal indicator bacteria (FIB) from water samples, but rapidly changing FIB concentrations result in management errors that lead to the public being exposed to high FIB concentrations (type II error) or beaches being closed despite acceptable water quality (type I error). Empirical predictive models may provide a rapid solution, but their effectiveness at improving health protection has not been adequately assessed. We sought to determine if emerging monitoring approaches could effectively reduce risk of illness exposure by minimizing management errors. We examined four monitoring approaches (inactive, current protocol, a single predictive model for all beaches, and individual models for each beach) with increasing refinement at 14 Chicago beaches using historical monitoring and hydrometeorological data and compared management outcomes using different standards for decision-making. Predictability (R<sup>2</sup>) of FIB concentration improved with model refinement at all beaches but one. Predictive models did not always reduce the number of management errors and therefore the overall illness burden. Use of a Chicago-specific single-sample standard-rather than the default 235 <i>E. coli</i> CFU/100 ml widely used-together with predictive modeling resulted in the greatest number of open beach days without any increase in public health risk. These results emphasize that emerging monitoring approaches such as empirical models are not equally applicable at all beaches, and combining monitoring approaches may expand beach access.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.watres.2010.12.010","issn":"00431354","usgsCitation":"Nevers, M.B., and Whitman, R.L., 2011, Efficacy of monitoring and empirical predictive modeling at improving public health protection at Chicago beaches: Water Research, v. 45, no. 4, p. 1659-1668, https://doi.org/10.1016/j.watres.2010.12.010.","productDescription":"10 p.","startPage":"1659","endPage":"1668","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":217564,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2010.12.010"},{"id":245517,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0861e4b0c8380cd51ac9","contributors":{"authors":[{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":457433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":457432,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035753,"text":"70035753 - 2011 - Volcanic plume height measured by seismic waves based on a mechanical model","interactions":[],"lastModifiedDate":"2013-03-14T11:06:38","indexId":"70035753","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic plume height measured by seismic waves based on a mechanical model","docAbstract":"In August 2008 an unmonitored, largely unstudied Aleutian volcano, Kasatochi, erupted catastrophically. Here we use seismic data to infer the height of large eruptive columns such as those of Kasatochi based on a combination of existing fluid and solid mechanical models. In so doing, we propose a connection between a common, observable, short-period seismic wave amplitude to the physics of an eruptive column. To construct a combined model, we estimate the mass ejection rate of material from the vent on the basis of the plume height, assuming that the height is controlled by thermal buoyancy for a continuous plume. Using the estimated mass ejection rate, we then derive the equivalent vertical force on the Earth through a momentum balance. Finally, we calculate the far-field surface waves resulting from the vertical force. The model performs well for recent eruptions of Kasatochi and Augustine volcanoes if <i>v</i>, the velocity of material exiting the vent, is 120-230 m s<sup>-1</sup>. The consistency between the seismically inferred and measured plume heights indicates that in these cases the far-field ~1 s seismic energy radiated by fluctuating flow in the volcanic jet during the eruption is a useful indicator of overall mass ejection rates. Thus, use of the model holds promise for characterizing eruptions and evaluating ash hazards to aircraft in real time on the basis of far-field short-period seismic data. This study emphasizes the need for better measurements of eruptive plume heights and a more detailed understanding of the full spectrum of seismic energy radiated coeruptively.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010JB007620","isbn":"01480227","usgsCitation":"Prejean, S.G., and Brodsky, E.E., 2011, Volcanic plume height measured by seismic waves based on a mechanical model: Journal of Geophysical Research B: Solid Earth, v. 116, no. B1, https://doi.org/10.1029/2010JB007620.","productDescription":"13 p.","startPage":"B01306","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"links":[{"id":475203,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jb007620","text":"Publisher Index Page"},{"id":216077,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JB007620"},{"id":243919,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"B1","noUsgsAuthors":false,"publicationDate":"2011-01-26","publicationStatus":"PW","scienceBaseUri":"505bc2fee4b08c986b32aec8","contributors":{"authors":[{"text":"Prejean, Stephanie G. sprejean@usgs.gov","contributorId":2602,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","email":"sprejean@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":452195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brodsky, Emily E.","contributorId":29660,"corporation":false,"usgs":true,"family":"Brodsky","given":"Emily","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":452196,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034034,"text":"70034034 - 2011 - Factors Controlling Pre-Columbian and Early Historic Maize Productivity in the American Southwest, Part 1: The Southern Colorado Plateau and Rio Grande Regions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:48","indexId":"70034034","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2181,"text":"Journal of Archaeological Method and Theory","active":true,"publicationSubtype":{"id":10}},"title":"Factors Controlling Pre-Columbian and Early Historic Maize Productivity in the American Southwest, Part 1: The Southern Colorado Plateau and Rio Grande Regions","docAbstract":"Maize is the New World's preeminent grain crop and it provided the economic basis for human culture in many regions within the Americas. To flourish, maize needs water, sunlight (heat), and nutrients (e. g., nitrogen). In this paper, climate and soil chemistry data are used to evaluate the potential for dryland (rainon-field) agriculture in the semiarid southeastern Colorado Plateau and Rio Grande regions. Processes that impact maize agriculture such as nitrogen mineralization, infiltration of precipitation, bare soil evaporation, and transpiration are discussed and evaluated. Most of the study area, excepting high-elevation regions, receives sufficient solar radiation to grow maize. The salinities of subsurface soils in the central San Juan Basin are very high and their nitrogen concentrations are very low. In addition, soils of the central San Juan Basin are characterized by pH values that exceed 8.0, which limit the availability of both nitrogen and phosphorous. In general, the San Juan Basin, including Chaco Canyon, is the least promising part of the study area in terms of dryland farming. Calculations of field life, using values of organic nitrogen for the upper 50 cm of soil in the study area, indicate that most of the study area could not support a 10-bushel/acre crop of maize. The concepts, methods, and calculations used to quantify maize productivity in this study are applicable to maize cultivation in other environmental settings across the Americas. ?? 2010 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Archaeological Method and Theory","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10816-010-9082-z","issn":"10725369","usgsCitation":"Benson, L.V., 2011, Factors Controlling Pre-Columbian and Early Historic Maize Productivity in the American Southwest, Part 1: The Southern Colorado Plateau and Rio Grande Regions: Journal of Archaeological Method and Theory, v. 18, no. 1, p. 1-60, https://doi.org/10.1007/s10816-010-9082-z.","startPage":"1","endPage":"60","numberOfPages":"60","costCenters":[],"links":[{"id":216864,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10816-010-9082-z"},{"id":244762,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-05-18","publicationStatus":"PW","scienceBaseUri":"505a0e97e4b0c8380cd53524","contributors":{"authors":[{"text":"Benson, L. V.","contributorId":50159,"corporation":false,"usgs":true,"family":"Benson","given":"L.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":443757,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70032394,"text":"70032394 - 2011 - Inversion of ground-motion data from a seismometer array for rotation using a modification of Jaeger's method","interactions":[],"lastModifiedDate":"2020-03-23T09:45:16","indexId":"70032394","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Inversion of ground-motion data from a seismometer array for rotation using a modification of Jaeger's method","docAbstract":"We develop a new way to invert 2D translational waveforms using Jaeger's (1969) formula to derive rotational ground motions about one axis and estimate the errors in them using techniques from statistical multivariate analysis. This procedure can be used to derive rotational ground motions and strains using arrayed translational data, thus providing an efficient way to calibrate the performance of rotational sensors. This approach does not require a priori information about the noise level of the translational data and elastic properties of the media. This new procedure also provides estimates of the standard deviations of the derived rotations and strains. In this study, we validated this code using synthetic translational waveforms from a seismic array. The results after the inversion of the synthetics for rotations were almost identical with the results derived using a well-tested inversion procedure by Spudich and Fletcher (2009). This new 2D procedure can be applied three times to obtain the full, three-component rotations. Additional modifications can be implemented to the code in the future to study different features of the rotational ground motions and strains induced by the passage of seismic waves.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120100204","issn":"00371106","usgsCitation":"Chi, W., Lee, W., Aston, J., Lin, C., and Liu, C., 2011, Inversion of ground-motion data from a seismometer array for rotation using a modification of Jaeger's method: Bulletin of the Seismological Society of America, v. 101, no. 6, p. 3105-3109, https://doi.org/10.1785/0120100204.","productDescription":"5 p.","startPage":"3105","endPage":"3109","numberOfPages":"5","ipdsId":"IP-022928","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":213877,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120100204"},{"id":241543,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-12-08","publicationStatus":"PW","scienceBaseUri":"505a3e53e4b0c8380cd63ca6","contributors":{"authors":[{"text":"Chi, Wu-Cheng","contributorId":26148,"corporation":false,"usgs":true,"family":"Chi","given":"Wu-Cheng","email":"","affiliations":[],"preferred":false,"id":435933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, W.H.K.","contributorId":35303,"corporation":false,"usgs":true,"family":"Lee","given":"W.H.K.","affiliations":[],"preferred":false,"id":435934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aston, J.A.D.","contributorId":55650,"corporation":false,"usgs":true,"family":"Aston","given":"J.A.D.","email":"","affiliations":[],"preferred":false,"id":435935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lin, C.J.","contributorId":99385,"corporation":false,"usgs":true,"family":"Lin","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":435937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liu, C.-C.","contributorId":89662,"corporation":false,"usgs":true,"family":"Liu","given":"C.-C.","affiliations":[],"preferred":false,"id":435936,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034045,"text":"70034045 - 2011 - Ground settlement monitoring based on temporarily coherent points between two SAR acquisitions","interactions":[],"lastModifiedDate":"2017-04-06T13:53:51","indexId":"70034045","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Ground settlement monitoring based on temporarily coherent points between two SAR acquisitions","docAbstract":"<p><span>An InSAR analysis approach for identifying and extracting the temporarily coherent points (TCP) that exist between two SAR acquisitions and for determining motions of the TCP is presented for applications such as ground settlement monitoring. TCP are identified based on the spatial characteristics of the range and azimuth offsets of coherent radar scatterers. A method for coregistering TCP based on the offsets of TCP is given to reduce the coregistration errors at TCP. An improved phase unwrapping method based on the minimum cost flow (MCF) algorithm and local Delaunay triangulation is also proposed for sparse TCP data. The proposed algorithms are validated using a test site in Hong Kong. The test results show that the algorithms work satisfactorily for various ground features.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2010.10.004","issn":"09242716","usgsCitation":"Zhang, L., Ding, X., and Lu, Z., 2011, Ground settlement monitoring based on temporarily coherent points between two SAR acquisitions: ISPRS Journal of Photogrammetry and Remote Sensing, v. 66, no. 1, p. 146-152, https://doi.org/10.1016/j.isprsjprs.2010.10.004.","productDescription":"7 p.","startPage":"146","endPage":"152","numberOfPages":"7","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244386,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216509,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.isprsjprs.2010.10.004"}],"volume":"66","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2a9ee4b0c8380cd5b303","contributors":{"authors":[{"text":"Zhang, L.","contributorId":41543,"corporation":false,"usgs":true,"family":"Zhang","given":"L.","email":"","affiliations":[],"preferred":false,"id":443790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ding, X.","contributorId":49990,"corporation":false,"usgs":true,"family":"Ding","given":"X.","email":"","affiliations":[],"preferred":false,"id":443791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":443792,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036380,"text":"70036380 - 2011 - Long-term biases in geomagnetic K and aa indices","interactions":[],"lastModifiedDate":"2021-01-18T17:49:08.975942","indexId":"70036380","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":780,"text":"Annales Geophysicae","active":true,"publicationSubtype":{"id":10}},"title":"Long-term biases in geomagnetic K and aa indices","docAbstract":"<p><span>Analysis is made of the geomagnetic-activity&nbsp;</span><i>aa</i><span>&nbsp;index and its source&nbsp;</span><i>K</i><span>-index data from groups of ground-based observatories in Britain, and Australia, 1868.0–2009.0, solar cycles 11–23. The&nbsp;</span><i>K</i><span>&nbsp;data show persistent biases, especially for high (low)&nbsp;</span><i>K</i><span>-activity levels at British (Australian) observatories. From examination of multiple subsets of the&nbsp;</span><i>K</i><span>&nbsp;data we infer that the biases are not predominantly the result of changes in observatory location, localized induced magnetotelluric currents, changes in magnetometer technology, or the modernization of&nbsp;</span><i>K</i><span>-value estimation methods. Instead, the biases appear to be artifacts of the latitude-dependent scaling used to assign&nbsp;</span><i>K</i><span>&nbsp;values to particular local levels of geomagnetic activity. The biases are not effectively removed by weighting factors used to estimate&nbsp;</span><i>aa</i><span>. We show that long-term averages of the&nbsp;</span><i>aa</i><span>&nbsp;index, such as annual averages, are dominated by medium-level geomagnetic activity levels having&nbsp;</span><i>K</i><span>&nbsp;values of 3 and 4.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/angeo-29-1365-2011","issn":"09927689","usgsCitation":"Love, J.J., 2011, Long-term biases in geomagnetic K and aa indices: Annales Geophysicae, v. 29, no. 8, p. 1365-1375, https://doi.org/10.5194/angeo-29-1365-2011.","productDescription":"11 p.","startPage":"1365","endPage":"1375","costCenters":[],"links":[{"id":475540,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/angeo-29-1365-2011","text":"Publisher Index Page"},{"id":246221,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218230,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/angeo-29-1365-2011"}],"volume":"29","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-08-19","publicationStatus":"PW","scienceBaseUri":"505a4979e4b0c8380cd68632","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":455810,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70035647,"text":"70035647 - 2011 - Study relationship between inorganic and organic coal analysis with gross calorific value by multiple regression and ANFIS","interactions":[],"lastModifiedDate":"2021-02-17T21:17:55.08143","indexId":"70035647","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2034,"text":"International Journal of Coal Preparation and Utilization","active":true,"publicationSubtype":{"id":10}},"title":"Study relationship between inorganic and organic coal analysis with gross calorific value by multiple regression and ANFIS","docAbstract":"<p><span>The relationship between maceral content plus mineral matter and gross calorific value (GCV) for a wide range of West Virginia coal samples (from 6518 to 15330 BTU/lb; 15.16 to 35.66&nbsp;MJ/kg) has been investigated by multivariable regression and adaptive neuro-fuzzy inference system (ANFIS). The stepwise least square mathematical method comparison between liptinite, vitrinite, plus mineral matter as input data sets with measured GCV reported a nonlinear correlation coefficient (</span><i>R</i><span>&nbsp;</span><sup>2</sup><span>) of 0.83. Using the same data set the correlation between the predicted GCV from the ANFIS model and the actual GCV reported a&nbsp;</span><i>R</i><span>&nbsp;</span><sup>2</sup><span>&nbsp;value of 0.96. It was determined that the GCV-based prediction methods, as used in this article, can provide a reasonable estimation of GCV.</span></p>","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/19392699.2010.527876","issn":"19392699","usgsCitation":"Chelgani, S., Hart, B., Grady, W., and Hower, J., 2011, Study relationship between inorganic and organic coal analysis with gross calorific value by multiple regression and ANFIS: International Journal of Coal Preparation and Utilization, v. 31, no. 1, p. 9-19, https://doi.org/10.1080/19392699.2010.527876.","productDescription":"11 p.","startPage":"9","endPage":"19","costCenters":[],"links":[{"id":244236,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216372,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/19392699.2010.527876"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9ce2e4b08c986b31d500","contributors":{"authors":[{"text":"Chelgani, S.C.","contributorId":54035,"corporation":false,"usgs":true,"family":"Chelgani","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":451617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, B.","contributorId":18201,"corporation":false,"usgs":true,"family":"Hart","given":"B.","email":"","affiliations":[],"preferred":false,"id":451616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grady, W.C.","contributorId":104223,"corporation":false,"usgs":true,"family":"Grady","given":"W.C.","email":"","affiliations":[],"preferred":false,"id":451619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hower, J.C.","contributorId":100541,"corporation":false,"usgs":true,"family":"Hower","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":451618,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}