Estimation of site occupancy rates when detection probabilities are <1 is well established in wildlife science. Data from multiple visits to a sample of sites are used to estimate detection probabilities and the proportion of sites occupied by focal species. In this article we describe how site occupancy methods can be applied to estimate occupancy rates of plants and other sessile organisms. We illustrate this approach and the pitfalls of ignoring incomplete detection using spatial data for 2 aquatic vascular plants collected under the Upper Mississippi River's Long Term Resource Monitoring Program (LTRMP). Site occupancy models considered include: a naïve model that ignores incomplete detection, a simple site occupancy model assuming a constant occupancy rate and a constant probability of detection across sites, several models that allow site occupancy rates and probabilities of detection to vary with habitat characteristics, and mixture models that allow for unexplained variation in detection probabilities. We used information theoretic methods to rank competing models and bootstrapping to evaluate the goodness-of-fit of the final models. Results of our analysis confirm that ignoring incomplete detection can result in biased estimates of occupancy rates. Estimates of site occupancy rates for 2 aquatic plant species were 19–36% higher compared to naive estimates that ignored probabilities of detection <1. Simulations indicate that final models have little bias when 50 or more sites are sampled, and little gains in precision could be expected for sample sizes >300. We recommend applying site occupancy methods for monitoring presence of aquatic species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquabot.2011.06.004","issn":"03043770","usgsCitation":"Nielson, R.M., Gray, B., McDonald, L., and Heglund, P., 2011, Estimating site occupancy rates for aquatic plants using spatial sub-sampling designs when detection probabilities are less than one: Aquatic Botany, v. 95, no. 3, p. 221-225, https://doi.org/10.1016/j.aquabot.2011.06.004.","productDescription":"5 p.","startPage":"221","endPage":"225","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":381361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b44e4b0c8380cd52654","contributors":{"authors":[{"text":"Nielson, R. M.","contributorId":22967,"corporation":false,"usgs":false,"family":"Nielson","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":445921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, B. R. 0000-0001-7682-9550","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":14785,"corporation":false,"usgs":true,"family":"Gray","given":"B. R.","affiliations":[],"preferred":false,"id":445919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, L.L.","contributorId":19906,"corporation":false,"usgs":true,"family":"McDonald","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":445920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heglund, P.J.","contributorId":44505,"corporation":false,"usgs":true,"family":"Heglund","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":445922,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046492,"text":"70046492 - 2011 - Isotopic tracing of perchlorate in the environment","interactions":[],"lastModifiedDate":"2018-08-29T09:42:42","indexId":"70046492","displayToPublicDate":"2011-06-30T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Isotopic tracing of perchlorate in the environment","docAbstract":"Isotopic measurements can be used for tracing the sources and behavior of environmental contaminants. Perchlorate (ClO 4 − ) has been detected widely in groundwater, soils, fertilizers, plants, milk, and human urine since 1997, when improved analytical methods for analyzing ClO 4 −concentration became available for routine use. Perchlorate ingestion poses a risk to human health because of its interference with thyroidal hormone production. Consequently, methods for isotopic analysis of ClO 4 − have been developed and applied to assist evaluation of the origin and migration of this common contaminant. Isotopic data are now available for stable isotopes of oxygen and chlorine, as well as 36Cl isotopic abundances, in ClO 4 − samples from a variety of natural and synthetic sources. These isotopic data provide a basis for distinguishing sources of ClO 4 − found in the environment, and for understanding the origin of natural ClO 4 − . In addition, the isotope effects of microbial ClO 4 − reduction have been measured in laboratory and field experiments, providing a tool for assessing ClO 4 − attenuation in the environment. Isotopic data have been used successfully in some areas for identifying major sources of ClO 4 − contamination in drinking water supplies. Questions about the origin and global biogeochemical cycle of natural ClO 4 − remain to be addressed; such work would benefit from the development of methods for preparation and isotopic analysis of ClO 4 − in samples with low concentrations and complex matrices.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of environmental isotope geochemistry","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-642-10637-8_22","isbn":"978-3-642-10636-1","usgsCitation":"Sturchio, N.C., Bohlke, J., Gu, B., Hatzinger, P., and Jackson, W.A., 2011, Isotopic tracing of perchlorate in the environment, chap. of Handbook of environmental isotope geochemistry, p. 437-452, https://doi.org/10.1007/978-3-642-10637-8_22.","productDescription":"16 p.","startPage":"437","endPage":"452","ipdsId":"IP-022737","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":342101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2011-06-30","publicationStatus":"PW","scienceBaseUri":"59366dade4b0f6c2d0d7d648","contributors":{"editors":[{"text":"Baskaran, Mark","contributorId":87867,"corporation":false,"usgs":false,"family":"Baskaran","given":"Mark","email":"","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":697108,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":697103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":697104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gu, Baohua","contributorId":15504,"corporation":false,"usgs":true,"family":"Gu","given":"Baohua","affiliations":[],"preferred":false,"id":697105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatzinger, Paul B.","contributorId":43204,"corporation":false,"usgs":true,"family":"Hatzinger","given":"Paul B.","affiliations":[],"preferred":false,"id":697106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, W. Andrew","contributorId":191113,"corporation":false,"usgs":false,"family":"Jackson","given":"W.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":697107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210766,"text":"70210766 - 2011 - A loess–paleosol record of climate and glacial history over the past two glacial–interglacial cycles (~ 150 ka), southern Jackson Hole, Wyoming","interactions":[],"lastModifiedDate":"2020-09-25T14:51:21.062832","indexId":"70210766","displayToPublicDate":"2011-06-23T13:51:04","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"A loess–paleosol record of climate and glacial history over the past two glacial–interglacial cycles (~ 150 ka), southern Jackson Hole, Wyoming","docAbstract":"Loess accumulated on a Bull Lake outwash terrace of Marine Oxygen Isotope Stage 6 (MIS 6) age in southern Jackson Hole, Wyoming. The 9 m section displays eight intervals of loess deposition (Loess 1 to Loess 8, oldest), each followed by soil development. Our age-depth model is constrained by thermoluminescence, meteoric 10Be accumulation in soils, and cosmogenic 10Be surface exposure ages. We use particle size, geochemical, mineral-magnetic, and clay mineralogical data to interpret loess sources and pedogenesis. Deposition of MIS 6 loess was followed by a tripartite soil/thin loess complex (Soils 8, 7, and 6) apparently reflecting the large climatic oscillations of MIS 5. Soil 8 (MIS 5e) shows the strongest development. Loess 5 accumulated during a glacial interval (~ 76–69 ka; MIS 4) followed by soil development under conditions wetter and probably colder than present. Deposition of thick Loess 3 (~ 43–51 ka, MIS 3) was followed by soil development comparable with that observed in Soil 1. Loess 1 (MIS 2) accumulated during the Pinedale glaciation and was followed by development of Soil 1 under a semiarid climate. This record of alternating loess deposition and soil development is compatible with the history of Yellowstone vegetation and the glacial flour record from the Sierra Nevada.
","language":"English","publisher":"Cambridge University Press","doi":"10.1016/j.yqres.2011.03.006","usgsCitation":"Pierce, K.L., Muhs, D., Fosberg, M.A., Mahan, S.A., Rosenbaum, J.G., Licciardi, J.M., and Pavich, M.J., 2011, A loess–paleosol record of climate and glacial history over the past two glacial–interglacial cycles (~ 150 ka), southern Jackson Hole, Wyoming: Quaternary Research, v. 76, no. 1, p. 119-141, https://doi.org/10.1016/j.yqres.2011.03.006.","productDescription":"23 p.","startPage":"119","endPage":"141","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":375827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","city":"Jackson","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.96466064453125,\n 43.3351671567243\n ],\n [\n -110.64880371093749,\n 43.3351671567243\n ],\n [\n -110.64880371093749,\n 43.671844983221604\n ],\n [\n -110.96466064453125,\n 43.671844983221604\n ],\n [\n -110.96466064453125,\n 43.3351671567243\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"76","issue":"1","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Pierce, Kenneth L. kpierce@usgs.gov","contributorId":1609,"corporation":false,"usgs":true,"family":"Pierce","given":"Kenneth","email":"kpierce@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":791328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":791329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fosberg, Maynard A.","contributorId":19690,"corporation":false,"usgs":true,"family":"Fosberg","given":"Maynard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":791330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":791331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenbaum, Joseph G. jrosenbaum@usgs.gov","contributorId":1524,"corporation":false,"usgs":true,"family":"Rosenbaum","given":"Joseph","email":"jrosenbaum@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":791332,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Licciardi, Joseph M.","contributorId":9759,"corporation":false,"usgs":false,"family":"Licciardi","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":791333,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pavich, Milan J. mpavich@usgs.gov","contributorId":2348,"corporation":false,"usgs":true,"family":"Pavich","given":"Milan","email":"mpavich@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":791334,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70004711,"text":"fs20113054 - 2011 - Characterizing contaminant concentrations with depth by using the USGS well profiler in Oklahoma, 2003-9","interactions":[],"lastModifiedDate":"2012-08-30T17:16:17","indexId":"fs20113054","displayToPublicDate":"2011-06-23T13:22:41","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3054","title":"Characterizing contaminant concentrations with depth by using the USGS well profiler in Oklahoma, 2003-9","docAbstract":"Since 2003, the U.S. Geological Survey (USGS) Oklahoma Water Science Center has been using the USGS well profiler to characterize changes in water contribution and contaminant concentrations with depth in pumping public-supply wells in selected aquifers. The tools and methods associated with the well profiler, which were first developed by the USGS California Water Science Center, have been used to investigate common problems such as saline water intrusion in high-yield irrigation wells and metals contamination in high-yield public-supply wells.\nThe USGS well profiler is a slim (less than 1 inch in diameter), high-pressure hose that can be raised and lowered between the production pipe and casing (or borehole) of a well by using a motorized hose reel. Use of this tool is considerably less expensive than use of standard methods of depth-dependent sampling, and the USGS well profiler generally requires less downtime of the well. In terms of data quality, the greatest advantage of the USGS well profiler is that all data collection is performed under production pumping rates.\nIn Oklahoma, the USGS well profiler has been modified and adapted for use in low-yield (150?350 gallons per minute) wells of various construction types common in Oklahoma. This tool has been used in selected public-supply wells in Hinton, Moore, and Norman to identify which producing zones are contaminated by naturally occurring arsenic. The tool and method also can be used to investigate other nonvolatile contaminants of interest, including uranium, radium, barium, boron, lead, selenium, sulfate, chloride, fluoride, nitrate, and chromium.\nIn 2007, the USGS well profiler was used to investigate saline water intrusion in a deep public-supply well completed in the Ozark (Roubidoux) aquifer. In northeast Oklahoma, where the Ozark aquifer is known to be susceptible to contamination from mining activities, the well profiler also could be used to investigate sources (depths) of metals contamination and to identify routes of entry of metals to production wells.Water suppliers can consider well rehabilitation as a potential remediation strategy because of the ability to identify changes in contaminant concentrations with depth in individual wells with the USGS well profiler. Well rehabilitation methods, which are relatively inexpensive compared to drilling and completing new wells, involve modifying the construction or operation of a well to enhance the production of water from zones with lesser concentrations of a contaminant or to limit the production of water from zones with greater concentrations of a contaminant. One of the most effective well rehabilitation methods is zonal isolation, in which water from contaminated zones is excluded from production through installation of cement plugs or packers. By using relatively simple and inexpensive well rehabilitation methods, water suppliers may be able to decrease exposure of customers to contaminants and avoid costly installation of additional wells, conveyance infrastructure, and treatment technologies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113054","usgsCitation":"Smith, S.J., and Becker, C., 2011, Characterizing contaminant concentrations with depth by using the USGS well profiler in Oklahoma, 2003-9: U.S. Geological Survey Fact Sheet 2011-3054, 4 p., https://doi.org/10.3133/fs20113054.","productDescription":"4 p.","additionalOnlineFiles":"N","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":116231,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3054.jpg"},{"id":260022,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2011/3054/pdf/FS2011-3054.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":21930,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3054/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Albers Equal-Area Conic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103,34 ], [ -103,37 ], [ -95,37 ], [ -95,34 ], [ -103,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4cf9","contributors":{"authors":[{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Becker, Carol 0000-0001-6652-4542 cjbecker@usgs.gov","orcid":"https://orcid.org/0000-0001-6652-4542","contributorId":2489,"corporation":false,"usgs":true,"family":"Becker","given":"Carol","email":"cjbecker@usgs.gov","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351208,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70004713,"text":"fs20113071 - 2011 - USGS St. Petersburg Coastal and Marine Science Center--Research activities in the U.S. Virgin Islands","interactions":[],"lastModifiedDate":"2012-02-10T00:11:59","indexId":"fs20113071","displayToPublicDate":"2011-06-23T13:22:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3071","title":"USGS St. Petersburg Coastal and Marine Science Center--Research activities in the U.S. Virgin Islands","docAbstract":"The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center in Florida investigates earth-science processes related to coastal and marine environments as well as to societal implications of natural hazards, resource sustainability, and environmental change. The Center is conducting ongoing research in and around the U.S. Virgin Islands that is providing baseline information for resource management and for assessing the health of and environmental changes to vital ecosystems such as coral reefs. In particular, projects are improving the understanding of coral health, advancing the ability to forecast future changes in coral reef ecosystems, and acquiring topographic data for use in inventorying, monitoring, and conserving coastal and marine environments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113071","usgsCitation":"Cimitile, M., 2011, USGS St. Petersburg Coastal and Marine Science Center--Research activities in the U.S. Virgin Islands: U.S. Geological Survey Fact Sheet 2011-3071, 4 p., https://doi.org/10.3133/fs20113071.","productDescription":"4 p.","startPage":"1","endPage":"4","numberOfPages":"4","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116232,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3071.gif"},{"id":21931,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3071/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Virgin Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -64.83333333333333,18.283611111111114 ], [ -64.83333333333333,18.3675 ], [ -64.63333333333334,18.3675 ], [ -64.63333333333334,18.283611111111114 ], [ -64.83333333333333,18.283611111111114 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db69655c","contributors":{"authors":[{"text":"Cimitile, Matthew","contributorId":50276,"corporation":false,"usgs":true,"family":"Cimitile","given":"Matthew","affiliations":[],"preferred":false,"id":351209,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70004706,"text":"ofr20111101 - 2011 - Improved earthquake monitoring in the central and eastern United States in support of seismic assessments for critical facilities","interactions":[],"lastModifiedDate":"2012-02-10T00:11:59","indexId":"ofr20111101","displayToPublicDate":"2011-06-22T21:50:05","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1101","title":"Improved earthquake monitoring in the central and eastern United States in support of seismic assessments for critical facilities","docAbstract":"Evaluation of seismic monitoring capabilities in the central and eastern United States for critical facilities - including nuclear powerplants - focused on specific improvements to understand better the seismic hazards in the region. The report is not an assessment of seismic safety at nuclear plants. To accomplish the evaluation and to provide suggestions for improvements using funding from the American Recovery and Reinvestment Act of 2009, the U.S. Geological Survey examined addition of new strong-motion seismic stations in areas of seismic activity and addition of new seismic stations near nuclear power-plant locations, along with integration of data from the Transportable Array of some 400 mobile seismic stations. Some 38 and 68 stations, respectively, were suggested for addition in active seismic zones and near-power-plant locations. Expansion of databases for strong-motion and other earthquake source-characterization data also was evaluated. Recognizing pragmatic limitations of station deployment, augmentation of existing deployments provides improvements in source characterization by quantification of near-source attenuation in regions where larger earthquakes are expected. That augmentation also supports systematic data collection from existing networks. The report further utilizes the application of modeling procedures and processing algorithms, with the additional stations and the improved seismic databases, to leverage the capabilities of existing and expanded seismic arrays.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111101","usgsCitation":"Leith, W.S., Benz, H.M., and Herrmann, R.B., 2011, Improved earthquake monitoring in the central and eastern United States in support of seismic assessments for critical facilities: U.S. Geological Survey Open-File Report 2011-1101, iv, 29 p., https://doi.org/10.3133/ofr20111101.","productDescription":"iv, 29 p.","startPage":"i","endPage":"29","numberOfPages":"33","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":301,"text":"Geologic Hazards Team","active":false,"usgs":true}],"links":[{"id":116230,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1101.png"},{"id":21925,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1101/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100,26 ], [ -100,50 ], [ -64,50 ], [ -64,26 ], [ -100,26 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c2b3","contributors":{"authors":[{"text":"Leith, William S. 0000-0002-3463-3119 wleith@usgs.gov","orcid":"https://orcid.org/0000-0002-3463-3119","contributorId":2248,"corporation":false,"usgs":true,"family":"Leith","given":"William","email":"wleith@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":351205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":351204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrmann, Robert B. rherrmann@usgs.gov","contributorId":5609,"corporation":false,"usgs":true,"family":"Herrmann","given":"Robert","email":"rherrmann@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":351206,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004702,"text":"sir20115091 - 2011 - Estimation of annual suspended-sediment fluxes, 1931-95, and evaluation of geomorphic changes, 1950-2010, in the Arkansas River near Tulsa, Oklahoma","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"sir20115091","displayToPublicDate":"2011-06-22T13:50:04","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5091","title":"Estimation of annual suspended-sediment fluxes, 1931-95, and evaluation of geomorphic changes, 1950-2010, in the Arkansas River near Tulsa, Oklahoma","docAbstract":"An understanding of fluvial sediment transport and changing channel morphology can assist planners in making responsible decisions with future riverine development or restoration projects. Sediment rating curves can serve as simple models and can provide predictive tools to estimate annual sediment fluxes. Sediment flux models can aid in the design of river projects by providing insight to past and potential future sediment fluxes. Historical U.S. Geological Survey suspended-sediment and discharge data were evaluated to estimate annual suspended-sediment fluxes for two stations on the Arkansas River located downstream from Keystone Dam in Tulsa County. Annual suspended-sediment fluxes were estimated from 1931-95 for the Arkansas River at Tulsa streamflow-gaging station (07164500) and from 1973-82 for the Arkansas River near Haskell streamflow-gaging station (07165570). The annual flow-weighted suspended-sediment concentration decreased from 1,970 milligrams per liter to 350 milligrams per liter after the completion of Keystone Dam at the Tulsa station. The streambed elevation at the Arkansas River at Tulsa station has changed less than 1 foot from 1970 to 2005, but the thalweg has shifted from a location near the right bank to a position near the left bank. There was little change in the position of most of the banks of the Arkansas River channel from 1950 to 2009. The most substantial change evident from visual inspection of aerial photographs was an apparent decrease in sediment storage in the form of mid-channel and meander bars. The Arkansas River channel between Keystone Dam and the Tulsa-Wagoner County line showed a narrowing and lengthening (increase in sinuosity) over the transition period 1950-77 followed by a steady widening and shortening of the river channel (decrease in sinuosity) during the post-dam (Keystone) periods 1977-85, 1985-2003, and 2003-10.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115091","collaboration":"Prepared in cooperation with Tulsa County","usgsCitation":"Lewis, J.M., Smith, S.J., Buck, S.D., and Strong, S.A., 2011, Estimation of annual suspended-sediment fluxes, 1931-95, and evaluation of geomorphic changes, 1950-2010, in the Arkansas River near Tulsa, Oklahoma: U.S. Geological Survey Scientific Investigations Report 2011-5091, v, 21 p., https://doi.org/10.3133/sir20115091.","productDescription":"v, 21 p.","additionalOnlineFiles":"N","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":116650,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5091.png"},{"id":21919,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5091/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.55,35.583333333333336 ], [ -96.55,36.333333333333336 ], [ -95.16666666666667,36.333333333333336 ], [ -95.16666666666667,35.583333333333336 ], [ -96.55,35.583333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a5ee4b07f02db633d86","contributors":{"authors":[{"text":"Lewis, Jason M. 0000-0001-5337-1890 jmlewis@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1890","contributorId":3854,"corporation":false,"usgs":true,"family":"Lewis","given":"Jason","email":"jmlewis@usgs.gov","middleInitial":"M.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buck, Stephanie D. sbuck@usgs.gov","contributorId":4622,"corporation":false,"usgs":true,"family":"Buck","given":"Stephanie","email":"sbuck@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":351198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strong, Scott A. sstrong@usgs.gov","contributorId":4623,"corporation":false,"usgs":true,"family":"Strong","given":"Scott","email":"sstrong@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":351199,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70004686,"text":"ofr20111122 - 2011 - Review of samples of water, sediment, tailings, and biota at the Little Bonanza mercury mine, San Luis Obispo County, California","interactions":[],"lastModifiedDate":"2019-07-19T08:36:24","indexId":"ofr20111122","displayToPublicDate":"2011-06-21T10:50:02","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1122","title":"Review of samples of water, sediment, tailings, and biota at the Little Bonanza mercury mine, San Luis Obispo County, California","docAbstract":"Background and Objectives\n\nThe Little Bonanza mercury (Hg) mine, located in San Luis Obispo County, California, is a relatively small mine with, a historical total Hg production of about 1,000 flasks. The mine workings and tailings are located in the headwaters of the previously unnamed west fork of Las Tablas Creek (WF Las Tablas Creek), which flows into the Nacimiento Reservoir. Wasterock and tailings eroded from the Little Bonanza Hg Mine have contributed Hg-enriched mine wastes to the headwaters of WF Las Tablas Creek. The mine is located on Federal land managed by the U.S. Bureau of Land Management (BLM), which requested that the U.S. Geological Survey (USGS) measure and characterize Hg and other geochemical constituents in tailings, sediment, water, and biota at and downstream from the minesite. This report is in response that request, from the lead agency which is mandated to conduct a Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) - Removal Site Investigation (RSI). The RSI applies to removal of Hg-contaminated mine waste from the Little Bonanza minesite as a means of reducing Hg transport to WF Las Tablas Creek.\n\nThis report summarizes data obtained from field sampling of mine tailings, wasterock, sediment, water, and biota at the Little Bonanza Mine that was completed on April 6, 2010. Conditions during sampling were dry and no rain had occurred in the watershed for several weeks. Our results permit a preliminary assessment of the mining sources of Hg and associated chemical constituents that could produce elevated levels of monomethyl mercury (MMeHg) in WF Las Tablas Creek and in biota.\nHistory and Geology\n\nThe history of the Little Bonanza Hg mine is summarized here from Yates (1943) and other references as cited. The Little Bonanza Mine, located 20 mi west of Paso Robles, was discovered in 1862. Although production was minor until 1900, from 1900 to 1906, the mine produced about 1,000 flasks of Hg. Intermittent production continued into the 1940s but was relatively limited. Underground workings, now caved and inaccessible, include about 3,000 ft of drifts, crosscuts, and raises on three levels extending 260 ft downward.\n\nThe workings at the Little Bonanza Mine explore a zone of fault breccia, which trends northwest. The breccia is composed of fragments of sandstone, greenstone, serpentine, and chert in a shale matrix. The serpentine has been hydrothermally altered to silica-carbonate rock, and the Hg deposit is hosted within the zone of alteration. The veins are discontinuous and irregular, but form a steplike pattern along the fault zone. The principal mineralization occurring in the veins is irregular, consisting of disseminated zones of cinnabar. Most of the veins in the mine area contain cinnabar.\nSample Sites and Methods\n\nSamples were collected to assess the concentrations of Hg and biogeochemically relevant constituents in tailings and wasterock piles at the Little Bonanza Hg mine. Tailings are present adjacent to a three-pipe retort used to process the Hg ore. The tailings occur in the upper 15 cm of the soil adjacent to the retort and slag from the retort is present on the surface. An area of disturbed soil and rock uphill from the retort was likely formed during construction of a dam that provided water for mining activities. Wasterock in these piles was sampled. The largest amount of tailings is exposed to the west of the retort in the bank of WF Las Tablas Creek. Water, sediment, and biota were sampled from WF Las Tablas Creek, which flows through the mine area. Sample-site locations are shown in figures 10 and 11 and listed in table 1. Samples were collected when streamflow was low and no precipitation had occurred.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111122","usgsCitation":"Rytuba, J.J., Hothem, R.L., Goldstein, D., Brussee, B.E., and May, J., 2011, Review of samples of water, sediment, tailings, and biota at the Little Bonanza mercury mine, San Luis Obispo County, California: U.S. Geological Survey Open-File Report 2011-1122, vii, 11 p., https://doi.org/10.3133/ofr20111122.","productDescription":"vii, 11 p.","startPage":"i","endPage":"46","numberOfPages":"53","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":266,"text":"Environmental Resources Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":116215,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1122.gif"},{"id":21913,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1122/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","county":"San Luis Obispo","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121,35.3 ], [ -121,35.6 ], [ -120.5,35.6 ], [ -120.5,35.3 ], [ -121,35.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673ec4","contributors":{"authors":[{"text":"Rytuba, James J. jrytuba@usgs.gov","contributorId":3043,"corporation":false,"usgs":true,"family":"Rytuba","given":"James","email":"jrytuba@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":351141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hothem, Roger L. roger_hothem@usgs.gov","contributorId":1721,"corporation":false,"usgs":true,"family":"Hothem","given":"Roger","email":"roger_hothem@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":351140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, Daniel N.","contributorId":87671,"corporation":false,"usgs":true,"family":"Goldstein","given":"Daniel N.","affiliations":[],"preferred":false,"id":351144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":351142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"May, Jason T. 0000-0002-5699-2112","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":14791,"corporation":false,"usgs":true,"family":"May","given":"Jason T.","affiliations":[],"preferred":false,"id":351143,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70004677,"text":"ofr20111118 - 2011 - Earthquakes in Arkansas and vicinity 1699-2010","interactions":[],"lastModifiedDate":"2023-03-22T20:49:39.797503","indexId":"ofr20111118","displayToPublicDate":"2011-06-20T10:50:02","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1118","title":"Earthquakes in Arkansas and vicinity 1699-2010","docAbstract":"This map summarizes approximately 300 years of earthquake activity in Arkansas. It is one in a series of similar State earthquake history maps. Work on the Arkansas map was done in collaboration with the Arkansas Geological Survey. The earthquake data plotted on the map are from several sources: the Arkansas Geological Survey, the Center for Earthquake Research and Information, the National Center for Earthquake Engineering Research, and the Mississippi Department of Environmental Quality. In addition to earthquake locations, other materials presented include seismic hazard and isoseismal maps and related text.\n\nEarthquakes are a legitimate concern in Arkansas and parts of adjacent states. Arkansas has undergone a number of significant felt earthquakes since 1811. At least two of these events caused property damage: a magnitude 4.7 earthquake in 1931, and a magnitude 4.3 earthquake in 1967. The map shows all historical and instrumentally located earthquakes in Arkansas and vicinity between 1811 and 2010. The largest historic earthquake in the vicinity of the State was an intensity XI event, on December 16, 1811; the first earthquake in the New Madrid sequence. This violent event and the earthquakes that followed caused considerable damage to the then sparsely settled region.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111118","usgsCitation":"Dart, R.L., and Ausbrooks, S.M., 2011, Earthquakes in Arkansas and vicinity 1699-2010: U.S. Geological Survey Open-File Report 2011-1118, 1 Plate: 46.74 x 35.06 inches; Download Directory, https://doi.org/10.3133/ofr20111118.","productDescription":"1 Plate: 46.74 x 35.06 inches; Download Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1699-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":301,"text":"Geologic Hazards Team","active":false,"usgs":true}],"links":[{"id":116094,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1118.png"},{"id":414579,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95253.htm","linkFileType":{"id":5,"text":"html"}},{"id":21903,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1118/","linkFileType":{"id":5,"text":"html"}}],"scale":"1150000","projection":"Albers Equal-area Conic projection","country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri, Oklahoma, Tennessee, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.25,\n 32.25\n ],\n [\n -95.25,\n 37.25\n ],\n [\n -89,\n 37.25\n ],\n [\n -89,\n 32.25\n ],\n [\n -95.25,\n 32.25\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629728","contributors":{"authors":[{"text":"Dart, Richard L. dart@usgs.gov","contributorId":1209,"corporation":false,"usgs":true,"family":"Dart","given":"Richard","email":"dart@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":351097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ausbrooks, Scott M.","contributorId":11071,"corporation":false,"usgs":true,"family":"Ausbrooks","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":351098,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70004678,"text":"ofr20111117 - 2011 - Earthquakes in Mississippi and vicinity 1811-2010","interactions":[],"lastModifiedDate":"2023-03-22T20:53:26.877931","indexId":"ofr20111117","displayToPublicDate":"2011-06-20T10:50:02","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1117","title":"Earthquakes in Mississippi and vicinity 1811-2010","docAbstract":"This map summarizes two centuries of earthquake activity in Mississippi. Work on the Mississippi map was done in collaboration with the Mississippi Department of Environmental Quality, Office of Geology. The earthquake data plotted on the map are from several sources: the Mississippi Department of Environmental Quality, the Center for Earthquake Research and Information, the National Center for Earthquake Engineering Research, and the Arkansas Geological Survey. In addition to earthquake locations, other materials include seismic hazard and isoseismal maps and related text.\n\nEarthquakes are a legitimate concern in Mississippi and parts of adjacent States. Mississippi has undergone a number of felt earthquakes since 1811. At least two of these events caused property damage: a magnitude 4.7 earthquake in 1931, and a magnitude 4.3 earthquake in 1967. The map shows all historical and instrumentally located earthquakes in Mississippi and vicinity between 1811 and 2010. The largest historic earthquake in the vicinity of the State was an intensity XI event, on December 16, 1811; the first earthquake in the New Madrid sequence. This violent event and the earthquakes that followed caused considerable damage to the then sparsely settled region.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111117","usgsCitation":"Dart, R.L., and Bograd, M.B., 2011, Earthquakes in Mississippi and vicinity 1811-2010: U.S. Geological Survey Open-File Report 2011-1117, 1 Plate: 48.02 x 36.00 inches; Download Directory, https://doi.org/10.3133/ofr20111117.","productDescription":"1 Plate: 48.02 x 36.00 inches; Download Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1811-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":301,"text":"Geologic Hazards Team","active":false,"usgs":true}],"links":[{"id":116095,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1117.png"},{"id":414580,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95252.htm","linkFileType":{"id":5,"text":"html"}},{"id":21902,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1117/","linkFileType":{"id":5,"text":"html"}}],"scale":"1100000","projection":"Albers Equal-area Conic projection","country":"United States","state":"Alabama, Arkansas, Louisiana, Mississippi, Tennessee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.2556,\n 29.8603\n ],\n [\n -92.2556,\n 35.5858\n ],\n [\n -87.4389,\n 35.5858\n ],\n [\n -87.4389,\n 29.8603\n ],\n [\n -92.2556,\n 29.8603\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db6296ec","contributors":{"authors":[{"text":"Dart, Richard L. dart@usgs.gov","contributorId":1209,"corporation":false,"usgs":true,"family":"Dart","given":"Richard","email":"dart@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":351099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bograd, Michael B. E.","contributorId":45048,"corporation":false,"usgs":true,"family":"Bograd","given":"Michael","email":"","middleInitial":"B. E.","affiliations":[],"preferred":false,"id":351100,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199586,"text":"70199586 - 2011 - Relations of hydrogeologic factors, groundwater reduction-oxidation conditions, and temporal and spatial distributions of nitrate, Central-Eastside San Joaquin Valley, California, USA","interactions":[],"lastModifiedDate":"2021-05-07T15:05:03.70691","indexId":"70199586","displayToPublicDate":"2011-06-17T22:09:06","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Relations of hydrogeologic factors, groundwater reduction-oxidation conditions, and temporal and spatial distributions of nitrate, Central-Eastside San Joaquin Valley, California, USA","docAbstract":"In a 2,700-km 2 area in the eastern San Joaquin Valley, California (USA), data from multiple sources were used to determine interrelations among hydrogeologic factors, reduction-oxidation (redox) conditions, and temporal and spatial distributions of nitrate (NO 3), a widely detected groundwater contaminant. Groundwater is predominantly modern, or mixtures of modern water, with detectable NO 3 and oxic redox conditions, but some zones have anoxic or mixed redox conditions. Anoxic conditions were associated with long residence times that occurred near the valley trough and in areas of historical groundwater discharge with shallow depth to water. Anoxic conditions also were associated with interactions of shallow, modern groundwater with soils. NO 3 concentrations were significantly lower in anoxic than oxic or mixed redox groundwater, primarily because residence times of anoxic waters exceed the duration of increased pumping and fertilizer use associated with modern agriculture. Effects of redox reactions on NO 3 concentrations were relatively minor. Dissolved N 2 gas data indicated that denitrification has eliminated gt;5 mg/L NO 3-N in about 10% of 39 wells. Increasing NO 3 concentrations over time were slightly less prevalent in anoxic than oxic or mixed redox groundwater. Spatial and temporal trends of NO 3 are primarily controlled by water and NO 3 fluxes of modern land use.
","language":"English","publisher":"American Geophysical Union","doi":"10.1007/s10040-011-0750-1","usgsCitation":"Landon, M.K., Green, C.T., Belitz, K., Singleton, M.J., and Esser, B.K., 2011, Relations of hydrogeologic factors, groundwater reduction-oxidation conditions, and temporal and spatial distributions of nitrate, Central-Eastside San Joaquin Valley, California, USA: Hydrogeology Journal, v. 19, p. 1203-1224, https://doi.org/10.1007/s10040-011-0750-1.","productDescription":"22 p.","startPage":"1203","endPage":"1224","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":382517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.04711914062499,\n 37.90953361677018\n ],\n [\n -121.86035156249999,\n 37.90953361677018\n ],\n [\n -121.86035156249999,\n 38.004819966413194\n ],\n [\n -122.04711914062499,\n 38.004819966413194\n ],\n [\n -122.04711914062499,\n 37.90953361677018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","noUsgsAuthors":false,"publicationDate":"2011-06-17","publicationStatus":"PW","scienceBaseUri":"5c10c615e4b034bf6a7f387e","contributors":{"authors":[{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":745911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":745910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singleton, Michael J.","contributorId":44400,"corporation":false,"usgs":true,"family":"Singleton","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":808839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esser, Bradley K.","contributorId":33161,"corporation":false,"usgs":true,"family":"Esser","given":"Bradley","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":808840,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70004670,"text":"ofr20111131 - 2011 - A multitemporal (1979-2009) land-use/land-cover dataset of the binational Santa Cruz Watershed","interactions":[],"lastModifiedDate":"2012-02-10T00:11:59","indexId":"ofr20111131","displayToPublicDate":"2011-06-17T16:50:04","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1131","title":"A multitemporal (1979-2009) land-use/land-cover dataset of the binational Santa Cruz Watershed","docAbstract":"Trends derived from multitemporal land-cover data can be used to make informed land management decisions and to help managers model future change scenarios. We developed a multitemporal land-use/land-cover dataset for the binational Santa Cruz watershed of southern Arizona, United States, and northern Sonora, Mexico by creating a series of land-cover maps at decadal intervals (1979, 1989, 1999, and 2009) using Landsat Multispectral Scanner and Thematic Mapper data and a classification and regression tree classifier. The classification model exploited phenological changes of different land-cover spectral signatures through the use of biseasonal imagery collected during the (dry) early summer and (wet) late summer following rains from the North American monsoon. Landsat images were corrected to remove atmospheric influences, and the data were converted from raw digital numbers to surface reflectance values. The 14-class land-cover classification scheme is based on the 2001 National Land Cover Database with a focus on \"Developed\" land-use classes and riverine \"Forest\" and \"Wetlands\" cover classes required for specific watershed models. The classification procedure included the creation of several image-derived and topographic variables, including digital elevation model derivatives, image variance, and multitemporal Kauth-Thomas transformations. The accuracy of the land-cover maps was assessed using a random-stratified sampling design, reference aerial photography, and digital imagery. This showed high accuracy results, with kappa values (the statistical measure of agreement between map and reference data) ranging from 0.80 to 0.85.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111131","usgsCitation":"U.S. Geological Survey, 2011, A multitemporal (1979-2009) land-use/land-cover dataset of the binational Santa Cruz Watershed: U.S. Geological Survey Open-File Report 2011-1131, iv, 25 p.; Appendix; Readme File; Metadata; ZIP Data, https://doi.org/10.3133/ofr20111131.","productDescription":"iv, 25 p.; Appendix; Readme File; Metadata; ZIP Data","startPage":"i","endPage":"26","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":116206,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1131.gif"},{"id":21901,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1131/","linkFileType":{"id":5,"text":"html"}}],"country":"United States;Mexico","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.16666666666667,30.216666666666665 ], [ -111.16666666666667,32.166666666666664 ], [ -110,32.166666666666664 ], [ -110,30.216666666666665 ], [ -111.16666666666667,30.216666666666665 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ade0e"} ,{"id":70004669,"text":"sir20115082 - 2011 - Occurrence and distribution of pesticides in surface waters of the Hood River basin, Oregon, 1999-2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"sir20115082","displayToPublicDate":"2011-06-17T16:50:04","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5082","title":"Occurrence and distribution of pesticides in surface waters of the Hood River basin, Oregon, 1999-2009","docAbstract":"The U.S. Geological Survey analyzed pesticide and trace-element concentration data from the Hood River basin collected by the Oregon Department of Environmental Quality (ODEQ) from 1999 through 2009 to determine the distribution and concentrations of pesticides in the basin's surface waters. Instream concentrations were compared to (1) national and State water-quality standards established to protect aquatic organisms and (2) concentrations that cause sublethal or lethal effects in order to assess their potential to adversely affect the health of salmonids and their prey organisms. Three salmonid species native to the basin are listed as \"threatened\" under the U.S. Endangered Species Act: bull trout, steelhead, and Chinook salmon.\n\nA subset of 16 sites was sampled every year by the ODEQ for pesticides, with sample collection targeted to months of peak pesticide use in orchards (March-June and September). Ten pesticides and four pesticide degradation products were analyzed from 1999 through 2008; 100 were analyzed in 2009. Nineteen pesticides were detected: 11 insecticides, 6 herbicides, and 2 fungicides. Two of four insecticide degradation products were detected. All five detected organophosphate insecticides and the one detected organochlorine insecticide were present at concentrations exceeding water-quality standards, sublethal effects thresholds, or acute toxicity values in one or more samples. The frequency of organophosphate detection in the basin decreased during the period of record; however, changes in sampling schedule and laboratory reporting limits hindered clear analysis of detection frequency trends. Detected herbicide and fungicide concentrations were less than water-quality standards, sublethal effects thresholds, or acute toxicity values. Simazine, the most frequently detected pesticide, was the only herbicide detected at concentrations within an order of magnitude (factor of 10) of concentrations that impact salmonid olfaction. Some detected pesticides are of concern, not for their toxicity alone, but for their ability to potentiate the harmful impacts of other pesticides, particularly organophosphates, on salmonids or their prey. Many samples contained mixtures of pesticides, but the effects to salmonids of relevant mixtures at environmentally realistic concentrations for the basin are unknown. Trace-element concentration data, although limited, indicate that eight trace elements are also of concern for their potential to harm salmonid health. The dataset is limited with regard to the spatial and seasonal distribution of pesticides and trace elements in all salmonid-bearing streams, the presence of particle-bound pesticides, and the presence of several unmonitored pesticides known to be used in the basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115082","usgsCitation":"Temple, W.B., and Johnson, H.M., 2011, Occurrence and distribution of pesticides in surface waters of the Hood River basin, Oregon, 1999-2009: U.S. Geological Survey Scientific Investigations Report 2011-5082, viii, 54 p.; Appendices; HTML Document; PDF Download of Appendices A-J, https://doi.org/10.3133/sir20115082.","productDescription":"viii, 54 p.; Appendices; HTML Document; PDF Download of Appendices A-J","startPage":"i","endPage":"84","numberOfPages":"92","additionalOnlineFiles":"Y","temporalStart":"1999-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":116207,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5082.png"},{"id":21897,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5082/","linkFileType":{"id":5,"text":"html"}}],"projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Oregon","otherGeospatial":"Hood River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122,45.25 ], [ -122,45.75 ], [ -121.41666666666667,45.75 ], [ -121.41666666666667,45.25 ], [ -122,45.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a2ca","contributors":{"authors":[{"text":"Temple, Whitney B. wbtemple@usgs.gov","contributorId":4488,"corporation":false,"usgs":true,"family":"Temple","given":"Whitney","email":"wbtemple@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Henry M. 0000-0002-7571-4994","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":105291,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":351067,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70004668,"text":"ofr20111152 - 2011 - Proceedings of a Coastal and Marine Spatial Planning Workshop for the Western United States","interactions":[],"lastModifiedDate":"2012-02-02T00:15:54","indexId":"ofr20111152","displayToPublicDate":"2011-06-17T13:50:03","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1152","title":"Proceedings of a Coastal and Marine Spatial Planning Workshop for the Western United States","docAbstract":"Recent scientific and ocean policy assessments demonstrate that a fundamental change in our current management system is required to achieve the long-term health of our ocean, coasts, and Great Lakes in order to sustain the services and benefits they provide to society. The present (2011) species- and sector-centric way we manage these ecosystems cannot account properly for cumulative effects, sustaining multiple ecosystem services, and holistically and explicitly evaluating the tradeoffs associated with proposed alternative and multiple human uses. A transition to an ecosystem-based approach to management and conservation of coastal and marine resources is needed.\n\nCompeting uses and activities such as commerce, recreation, cultural practices, energy development, conservation, and national security are increasing pressure for new and expanded resource usage in coastal marine ecosystems. Current management efforts use a sector-by-sector approach that mostly focuses on a limited range of tools and outcomes [for example, oil and gas leases, fishery management plans, and Marine Protected Areas (MPAs)]. A comprehensive, ecosystem-based, and proactive approach to planning and managing these uses and activities is needed. Further, scientific understanding and information are essential to achieve an integrated decision-making process that includes knowledge of ecosystem services, existing and possible future conditions, and potential consequences of natural and anthropogenic events. Because no single government agency has executive authority for coastal or ocean resources, conflicting objectives around competing uses abound.\n\nIn recent years, regional- and state-level initiatives in Coastal and Marine Spatial Planning (CMSP) have emerged to coordinate management activities. In some respects, the components and steps of the overall CMSP process are similar to how existing ocean resources are regulated and managed. For example, the Bureau of Ocean Energy Management Regulation and Enforcement (BOEMRE) uses spatial planning exercises in State Renewable Energy Task Force meetings to identify competing and conflicting ocean uses, and to delineate areas suitable for renewable energy development. Similarly terrestrial areas such as in national parks and national wildlife refuges managed by the Department of the Interior (DOI) prepare management plans for preservation and restoration of species and habitats of concern, some of which are protected by law. The analogy to CMSP is clear - multiple users and multiple expectations, resulting in the requirement to establish spatial plans for management of different resources and different ecosystem services.\n\nA two-day workshop on December 1-2, 2010, was convened for DOI representatives and several key non-DOI participants with roles in CMSP as a step toward clarifying national perspectives and consequences of the National Ocean Policy for the West (appendix 1). Discussions helped to develop an understanding of CMSP from the federal perspective and to identify regional priorities. An overarching theme was to promote a better understanding of current and future science needs. The workshop format included briefings by key Federal agencies on their understanding of the national focus followed by discussion of regional issues, including the needs for scientific information and coordination. The workshop also explored potential science contributions by Federal agencies and others; utilizing current capabilities, data, and information systems; and provided a foundation for possible future regional workshops focusing in turn on the West Coast Region (California, Oregon, and Washington), Pacific Islands (sometimes referred to as Oceania) and Alaska.\n\nParticipants were asked to share information in the following areas, recognizing that the purpose would be to learn more about the national perspective (see appendixes 2-4):\n\n Explore how the Western U.S. (Alaska, Pacific Islands, and West Coast Region) migh","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111152","usgsCitation":"Thorsteinson, L., Hirsch, D., Helweg, D., Dhanju, A., Barmenski, J., and Ferrero, R., 2011, Proceedings of a Coastal and Marine Spatial Planning Workshop for the Western United States: U.S. Geological Survey Open-File Report 2011-1152, iv, 14 p.; Appendices, https://doi.org/10.3133/ofr20111152.","productDescription":"iv, 14 p.; Appendices","startPage":"i","endPage":"24","numberOfPages":"28","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":116092,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1152.jpg"},{"id":21896,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1152/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db660621","contributors":{"authors":[{"text":"Thorsteinson, Lyman","contributorId":48254,"corporation":false,"usgs":true,"family":"Thorsteinson","given":"Lyman","affiliations":[],"preferred":false,"id":351062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Derrick","contributorId":94424,"corporation":false,"usgs":true,"family":"Hirsch","given":"Derrick","affiliations":[],"preferred":false,"id":351064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helweg, David dhelweg@usgs.gov","contributorId":201,"corporation":false,"usgs":true,"family":"Helweg","given":"David","email":"dhelweg@usgs.gov","affiliations":[{"id":522,"text":"Pacific Islands Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":351060,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dhanju, Amardeep","contributorId":94775,"corporation":false,"usgs":true,"family":"Dhanju","given":"Amardeep","email":"","affiliations":[],"preferred":false,"id":351065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barmenski, Joan","contributorId":46204,"corporation":false,"usgs":true,"family":"Barmenski","given":"Joan","email":"","affiliations":[],"preferred":false,"id":351061,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferrero, Richard","contributorId":51892,"corporation":false,"usgs":true,"family":"Ferrero","given":"Richard","affiliations":[],"preferred":false,"id":351063,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70156767,"text":"70156767 - 2011 - Entrainment of bed sediment by debris flows: results from large-scale experiments","interactions":[],"lastModifiedDate":"2019-06-21T14:59:04","indexId":"70156767","displayToPublicDate":"2011-06-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Entrainment of bed sediment by debris flows: results from large-scale experiments","docAbstract":"When debris flows grow by entraining sediment, they can become especially hazardous owing to increased volume, speed, and runout. To investigate the entrainment process, we conducted eight largescale experiments in the USGS debris-flow flume. In each experiment, we released a 6 m3 water-saturated debris flow across a 47-m long, ~12-cm thick bed of partially saturated sediment lining the 31º flume. Prior to release, we used low-intensity overhead sprinkling and real-time monitoring to control the bed-sediment wetness. As each debris flow descended the flume, we measured the evolution of flow thickness, basal total normal stress, basal pore-fluid pressure, and sediment scour depth. When debris flows traveled over relatively dry sediment, net scour was minimal, but when debris flows traveled over wetter sediment (volumetric water content > 0.22), debris-flow volume grew rapidly and flow speed and runout were enhanced. Data from scour sensors showed that entrainment occurred by rapid (5-10 cm/s), progressive scour rather than by mass failure at depth. Overriding debris flows rapidly generated high basal pore-fluid pressures when they loaded and deformed bed sediment, and in wetter beds these pressures approached lithostatic levels. Reduction of intergranular friction within the bed sediment thereby enhanced scour efficiency, entrainment, and runout.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Debris-flow hazards : mitigation, mechanics, prediction, and assessment : proceedings of 5th international conference : Padua, Italy, 14-17 June 2011","conferenceTitle":"5th International Conference on Debris-Flow Hazards \"Mitigation, Mechanics, Prediction and Assessment\"","conferenceDate":"June 14-17, 2011","conferenceLocation":"Padua, Italy","language":"English","publisher":"Università La Sapienza","doi":"10.4408/IJEGE.2011-03.B-042","usgsCitation":"Reid, M.E., Iverson, R.M., Logan, M., LaHusen, R.G., Godt, J.W., and Griswold, J.P., 2011, Entrainment of bed sediment by debris flows: results from large-scale experiments, in Debris-flow hazards : mitigation, mechanics, prediction, and assessment : proceedings of 5th international conference : Padua, Italy, 14-17 June 2011, Padua, Italy, June 14-17, 2011, 8 p., https://doi.org/10.4408/IJEGE.2011-03.B-042.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":307641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307636,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.ijege.uniroma1.it/rivista/5th-international-conference-on-debris-flow-hazards-mitigation-mechanics-prediction-and-assessment/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e034b7e4b0f42e3d040dfe","contributors":{"authors":[{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":570437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":570438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Logan, Matthew 0000-0002-3558-2405 mlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-2405","contributorId":638,"corporation":false,"usgs":true,"family":"Logan","given":"Matthew","email":"mlogan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":570439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaHusen, Richard G.","contributorId":60205,"corporation":false,"usgs":true,"family":"LaHusen","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":570440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":570441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Griswold, Julie P.","contributorId":147121,"corporation":false,"usgs":false,"family":"Griswold","given":"Julie","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":570442,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70157567,"text":"70157567 - 2011 - Spatially explicit shallow landslide susceptibility mapping over large areas","interactions":[],"lastModifiedDate":"2021-10-21T14:14:53.809574","indexId":"70157567","displayToPublicDate":"2011-06-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Spatially explicit shallow landslide susceptibility mapping over large areas","docAbstract":"Recent advances in downscaling climate model precipitation predictions now yield spatially explicit patterns of rainfall that could be used to estimate shallow landslide susceptibility over large areas. In California, the United States Geological Survey is exploring community emergency response to the possible effects of a very large simulated storm event and to do so it has generated downscaled precipitation maps for the storm. To predict the corresponding pattern of shallow landslide susceptibility across the state, we have used the model Shalstab (a coupled steady state runoff and infinite slope stability model) which susceptibility spatially explicit estimates of relative potential instability. Such slope stability models that include the effects of subsurface runoff on potentially destabilizing pore pressure evolution require water routing and hence the definition of upslope drainage area to each potential cell. To calculate drainage area efficiently over a large area we developed a parallel framework to scale-up Shalstab and specifically introduce a new efficient parallel drainage area algorithm which produces seamless results. The single seamless shallow landslide susceptibility map for all of California was accomplished in a short run time, and indicates that much larger areas can be efficiently modelled. As landslide maps generally over predict the extent of instability for any given storm. Local empirical data on the fraction of predicted unstable cells that failed for observed rainfall intensity can be used to specify the likely extent of hazard for a given storm. This suggests that campaigns to collect local precipitation data and detailed shallow landslide location maps after major storms could be used to calibrate models and improve their use in hazard assessment for individual storms.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards : mitigation, mechanics, prediction, and assessment : proceedings of 5th international conference : Padua, Italy, 14-17 June 2011","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"5th International Conference on Debris-Flow Hazards \"Mitigation, Mechanics, Prediction and Assessment\"","conferenceDate":"June 14-17, 2011","conferenceLocation":"Padua, Italy","language":"English","publisher":"Università La Sapienza","usgsCitation":"Bellugi, D., Dietrich, W., Stock, J., McKean, J., Kazian, B., and Hargrove, P., 2011, Spatially explicit shallow landslide susceptibility mapping over large areas, in Debris-flow hazards : mitigation, mechanics, prediction, and assessment : proceedings of 5th international conference : Padua, Italy, 14-17 June 2011, Padua, Italy, June 14-17, 2011, 9 p.","productDescription":"9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031045","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":308666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.5147705078125,\n 34.420504880133834\n ],\n [\n -119.5147705078125,\n 34.63772760271713\n ],\n [\n -119.10278320312499,\n 34.63772760271713\n ],\n [\n -119.10278320312499,\n 34.420504880133834\n ],\n [\n -119.5147705078125,\n 34.420504880133834\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560a64ece4b058f706e536f2","contributors":{"authors":[{"text":"Bellugi, Dino","contributorId":148040,"corporation":false,"usgs":false,"family":"Bellugi","given":"Dino","email":"","affiliations":[],"preferred":false,"id":573658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietrich, William E.","contributorId":115128,"corporation":false,"usgs":true,"family":"Dietrich","given":"William E.","affiliations":[],"preferred":false,"id":573659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stock, Jonathan D.","contributorId":94167,"corporation":false,"usgs":true,"family":"Stock","given":"Jonathan D.","affiliations":[],"preferred":false,"id":573660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKean, Jim","contributorId":17941,"corporation":false,"usgs":true,"family":"McKean","given":"Jim","email":"","affiliations":[],"preferred":false,"id":573661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kazian, Brian","contributorId":120251,"corporation":false,"usgs":true,"family":"Kazian","given":"Brian","email":"","affiliations":[],"preferred":false,"id":573662,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hargrove, Paul","contributorId":148041,"corporation":false,"usgs":false,"family":"Hargrove","given":"Paul","email":"","affiliations":[],"preferred":false,"id":573663,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70004656,"text":"sir20115070 - 2011 - Effects of experimental passive artificial recharge of treated surface water on water quality in the Equus Beds Aquifer, 2009-2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"sir20115070","displayToPublicDate":"2011-06-16T16:50:03","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5070","title":"Effects of experimental passive artificial recharge of treated surface water on water quality in the Equus Beds Aquifer, 2009-2010","docAbstract":"Declining water levels and concerns about the migration of a known saltwater plume upgradient from public supply wells prompted the City of Wichita to investigate the feasibility of using artificial recharge to replenish the water supply in the Equus Beds aquifer. After preliminary testing, the City of Wichita began Phase I of the Equus Beds Aquifer Storage and Recovery Project in 2006. In 2009, the City of Wichita installed an experimental passive gravity recharge well and trench system to increase artificial recharge at Recharge Basin 1, one of the six Phase ? recharge sites.\nThe U.S. Geological Survey collected water samples from 13 sites and maintained 8 continuous monitors to test the recharge capacity of the experimental passive recharge system, the effect of the recharge on geochemistry of the aquifer, and the fate of bacteria and viruses present in the recharge water. About 576,000 gallons of treated surface water from the Little Arkansas River were recharged through the passive recharge well and trench system into the Equus Beds aquifer during April 2009. In May 2009, U.S. Geological Survey tests detected that bacterial and viral indicators (total coliform, fecal coliform, Escherichia coli, coliphage virus, and Clostridium perfringens) were entering the Recharge Basin 1 wells through the recharge system and recharge was discontinued. The City of Wichita disconnected the trench collection system from the passive gravity recharge well in July 2009, and in July and August 2009 withdrew 1,825,000 gallons of water from the aquifer at Recharge Basin 1 to remove the recharged water and avoid contamination of the aquifer.\nThe original recharge rate in Recharge Basin 1 was about 10.8 gallons per day per square foot. After installation of the passive recharge system, recharge water entered the aquifer through the passive well at a rate of about 19.2 gallons per day per square foot, a per unit area increase of about 78 percent.\nDuring artificial recharge, continuous monitors recorded rising water-level altitudes in the passive gravity recharge well and nearby monitoring wells as water flowed at about 10 feet per day from the passive recharge well toward nearby downgradient monitoring wells. The increase in water level in this area would have the effect of temporarily slowing the eastward migration of saltwater from the nearby Burrton plume.\nBacterial and viral indicators were detected in water samples from Recharge Basin 1 sites before and immediately after the installation of the passive gravity recharge well and trench system, during artificial recharge, and after artificial recharge. After water withdrawal in August 2009 and through the end of data collection in March 2010, detections of bacterial and viral indicators in groundwater decreased to densities similar to those before installation of the passive recharge system.\nConcentrations of chloride in samples collected from the trench, passive gravity recharge well, and nearby monitoring wells increased from an average of 34 milligrams per liter before artificial recharge to an average of 64 milligrams per liter during artificial recharge, reflecting the addition of recharge water with measured chloride concentrations of 62 to 94 milligrams per liter. When water was being pumped out of the aquifer through the passive gravity recharge well, chloride concentrations increased to 94 milligrams per liter in the removed water and increased to 150 milligrams per liter in the deep monitoring well nearest the passive gravity recharge well, indicating that, as water was being pumped from the passive well, water with a large chloride concentration from elsewhere in the aquifer was flowing toward the passive well. Chloride concentrations did not exceed the U.S. Environmental Protection Agency Secondary Drinking Water Regulation of 250 milligrams per liter in any Recharge Basin 1 samples collected as part of the study.\nIron concentrations exceeded the U.S. Environmental Protection Agency","doi":"10.3133/sir20115070","collaboration":"Prepared in cooperation with the City of Wichita, Kansas as part of the Equus Beds Groundwater Recharge Project","usgsCitation":"Garinger, L.P., King, A.S., and Ziegler, A., 2011, Effects of experimental passive artificial recharge of treated surface water on water quality in the Equus Beds Aquifer, 2009-2010: U.S. Geological Survey Scientific Investigations Report 2011-5070, ix, 106 p., https://doi.org/10.3133/sir20115070.","productDescription":"ix, 106 p.","additionalOnlineFiles":"N","temporalStart":"2008-10-01","temporalEnd":"2010-09-30","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":116091,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5070.jpg"},{"id":21890,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5070/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,37.666666666666664 ], [ -98,38.36666666666667 ], [ -97.3,38.36666666666667 ], [ -97.3,37.666666666666664 ], [ -98,37.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2ee4b07f02db61596b","contributors":{"authors":[{"text":"Garinger, Linda Pickett","contributorId":92406,"corporation":false,"usgs":true,"family":"Garinger","given":"Linda","email":"","middleInitial":"Pickett","affiliations":[],"preferred":false,"id":351001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Aaron S.","contributorId":25277,"corporation":false,"usgs":true,"family":"King","given":"Aaron","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":351000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":350999,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004636,"text":"ds598 - 2011 - Groundwater quality of the Gulf Coast aquifer system, Houston, Texas, 2010","interactions":[],"lastModifiedDate":"2016-08-11T15:30:40","indexId":"ds598","displayToPublicDate":"2011-06-15T13:50:03","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"598","title":"Groundwater quality of the Gulf Coast aquifer system, Houston, Texas, 2010","docAbstract":"During March–December 2010, the U.S. Geological Survey, in cooperation with the city of Houston, collected source-water samples from 60 municipal supply wells in the Houston area. These data were collected as part of an ongoing study to determine concentrations, spatial extent, and associated geochemical conditions that might be conducive for mobility and transport of selected naturally occurring contaminants (selected trace elements and radionuclides) in the Gulf Coast aquifer system in the Houston area. In the summers of 2007 and 2008, a reconnaissance-level survey of these constituents in untreated water from 28 municipal supply wells was completed in the Houston area. Included in this report are the complete analytical results for 47 of the 60 samples collected in 2010—those results which were received from the laboratories and reviewed by the authors as of December 31, 2010. All of the wells sampled were screened in the Gulf Coast aquifer system; 22 were screened entirely in the Evangeline aquifer, and the remaining 25 wells contained screened intervals that intersected both Evangeline and Chicot aquifers. The data documented in this report were collected as part of an ongoing study to characterize source-water-quality conditions in untreated groundwater prior to drinking-water treatment. An evaluation of contaminant occurrence in source water provides background information regarding the presence of a contaminant in the environment. Because source-water samples were collected prior to any treatment or blending that potentially could alter contaminant concentrations, the water-quality results documented by this report represent the quality of the source water, not the quality of finished drinking water provided to the public.
\nSamples were analyzed for major ions (calcium, magnesium, potassium, sodium, bromide, chloride, fluoride, silica, and sulfate), residue on evaporation (dissolved solids), trace elements (arsenic, barium, boron, chromium, iron, lithium, manganese, molybdenum, selenium, strontium, and vanadium), and selected radionuclides (gross alpha- and beta-particle activity [at 72 hours and 30 days], carbon-14, radium-226, radon-222, and uranium). Field measurements were made of selected physicochemical (relating to both physical and chemical) properties (oxidation-reduction potential, turbidity, dissolved-oxygen concentration, pH, specific conductance, water temperature, and alkalinity) and unfiltered sulfides.
\nSimilar to the results from the reconnaissance survey, physicochemical properties, major ions, and trace elements varied considerably. The ranges of selected physicochemical properties were as follows: oxidation-reduction potential ranged from -173 to 466 millivolts, dissolved oxygen ranged from less than 0.1 to 4.4 milligrams per liter, pH ranged from 7.2 to 7.8, specific conductance ranged from 439 to 724 microsiemens per centimeter at 25 degrees Celsius, and alkalinity ranged from 159 to 276 milligrams per liter as calcium carbonate. The largest ranges in concentration for filtered major ion constituents were obtained for cations sodium and calcium and for anions chloride and sulfate. Arsenic concentrations measured in samples from the 47 wells ranged from 1.6 to 23.5 micrograms per liter. The maximum concentration of arsenic (23.5 micrograms per liter) was measured in the source-water sample from well LJ-65-12-328.
\nQuantifiable concentrations of barium, boron, lithium, molybdenum, and strontium were measured in all 47 filtered, source-water samples. Quantifiable concentrations of manganese were measured in 46 source-water samples, and an estimated concentration of manganese was measured in 1 sample. Chromium, iron, selenium, and vanadium were detected in 24 or more of the 47 source-water samples.
\nGross alpha-particle activities and beta-particle activities for all 47 samples were analyzed at 72 hours after sample collection and again at 30 days after sample collection, allowing for the measurement of the activity of short-lived isotopes. Gross alpha-particle activities reported in this report were not adjusted for activity contributions by radon or uranium and, therefore, are conservatively high estimates if compared to the U.S. Environmental Protection Agency National Primary Drinking Water Regulation for adjusted gross alpha-particle activity. The gross alpha-particle activities at 30 days in the samples ranged from R0.60 to 25.5 picocuries per liter and at 72 hours ranged from 2.58 to 39.7 picocuries per liter, and the \"R\" preceding the value of 0.60 picocuries per liter refers to a nondetected result less than the sample-specific critical level. Gross beta-particle activities measured at 30 days ranged from 1.17 to 14.4 picocuries per liter and at 72 hours ranged from 1.97 to 4.4 picocuries per liter. Filtered uranium was detected in quantifiable amounts in all of the 47 wells sampled. The uranium concentrations ranged from 0.03 to 42.7 micrograms per liter. One sample was analyzed for carbon-14, and the amount of modern atmospheric carbon was reported as 0.2 percent. Six source-water samples collected from municipal supply wells were analyzed for radium-226, and all of the concentrations were considered detectable concentrations (greater than their associated sample-specific critical level). Three source-water samples collected were analyzed for radon-222, and all of the concentrations were substantially greater than the associated sample-specific critical level.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds598","usgsCitation":"Oden, J.H., Brown, D.W., and Oden, T., 2011, Groundwater quality of the Gulf Coast aquifer system, Houston, Texas, 2010: U.S. Geological Survey Data Series 598, iv, 18 p.; Tables, https://doi.org/10.3133/ds598.","productDescription":"iv, 18 p.; Tables","startPage":"i","endPage":"64","numberOfPages":"68","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116134,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_598.gif"},{"id":21880,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/598/","linkFileType":{"id":5,"text":"html"}}],"scale":"2000000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","city":"Houston","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.66666666666667,29.583333333333332 ], [ -95.66666666666667,30.133333333333333 ], [ -95.16666666666667,30.133333333333333 ], [ -95.16666666666667,29.583333333333332 ], [ -95.66666666666667,29.583333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db658f88","contributors":{"authors":[{"text":"Oden, Jeannette H. 0000-0002-6473-1553 jhoden@usgs.gov","orcid":"https://orcid.org/0000-0002-6473-1553","contributorId":1152,"corporation":false,"usgs":true,"family":"Oden","given":"Jeannette","email":"jhoden@usgs.gov","middleInitial":"H.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Dexter W. dwbrown@usgs.gov","contributorId":3062,"corporation":false,"usgs":true,"family":"Brown","given":"Dexter","email":"dwbrown@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":350912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oden, Timothy D. toden@usgs.gov","contributorId":1284,"corporation":false,"usgs":true,"family":"Oden","given":"Timothy D.","email":"toden@usgs.gov","affiliations":[],"preferred":true,"id":350911,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004631,"text":"ds608 - 2011 - Geophysical, geochemical, and mineralogical data from the Pebble Cu-Au-Mo porphyry deposit area, southwest Alaska: Contributions to assessment techniques for concealed mineral resources","interactions":[{"subject":{"id":81095,"text":"ofr20081132 - 2008 - Geochemical data for samples collected in 2007 near the concealed pebble porphyry Cu-Au-Mo deposit, southwest Alaska","indexId":"ofr20081132","publicationYear":"2008","noYear":false,"title":"Geochemical data for samples collected in 2007 near the concealed pebble porphyry Cu-Au-Mo deposit, southwest Alaska"},"predicate":"SUPERSEDED_BY","object":{"id":70004631,"text":"ds608 - 2011 - Geophysical, geochemical, and mineralogical data from the Pebble Cu-Au-Mo porphyry deposit area, southwest Alaska: Contributions to assessment techniques for concealed mineral resources","indexId":"ds608","publicationYear":"2011","noYear":false,"title":"Geophysical, geochemical, and mineralogical data from the Pebble Cu-Au-Mo porphyry deposit area, southwest Alaska: Contributions to assessment techniques for concealed mineral resources"},"id":1},{"subject":{"id":97969,"text":"ofr20091239 - 2009 - Geochemical data for samples collected in 2008 near the concealed pebble porphyry Cu-Au-Mo deposit, Southwest Alaska","indexId":"ofr20091239","publicationYear":"2009","noYear":false,"title":"Geochemical data for samples collected in 2008 near the concealed pebble porphyry Cu-Au-Mo deposit, Southwest Alaska"},"predicate":"SUPERSEDED_BY","object":{"id":70004631,"text":"ds608 - 2011 - Geophysical, geochemical, and mineralogical data from the Pebble Cu-Au-Mo porphyry deposit area, southwest Alaska: Contributions to assessment techniques for concealed mineral resources","indexId":"ds608","publicationYear":"2011","noYear":false,"title":"Geophysical, geochemical, and mineralogical data from the Pebble Cu-Au-Mo porphyry deposit area, southwest Alaska: Contributions to assessment techniques for concealed mineral resources"},"id":2}],"lastModifiedDate":"2021-09-02T19:49:27.253541","indexId":"ds608","displayToPublicDate":"2011-06-15T10:50:03","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"608","title":"Geophysical, geochemical, and mineralogical data from the Pebble Cu-Au-Mo porphyry deposit area, southwest Alaska: Contributions to assessment techniques for concealed mineral resources","docAbstract":"In 2007, the U.S. Geological Survey began a multidisciplinary study in southwest Alaska to investigate the setting and detectability of mineral deposits in concealed volcanic and glacial terranes. The study area hosts the world-class Pebble porphyry Cu-Au-Mo deposit, and through collaboration with the Pebble Limited Partnership, a range of geophysical and geochemical investigations was carried out in proximity to the deposit. The deposit is almost entirely concealed by tundra, glacial deposits, and post-mineralization volcanic rocks. The discovery of mineral resources beneath cover is becoming more important because most of the mineral resources at the surface have already been discovered. Research is needed to identify ways in which to assess for concealed mineral resources. This report presents the uninterpreted geophysical measurements and geochemical and mineralogical analytical data from samples collected during the summer field seasons from 2007 to 2010, and makes the data available in a single Geographic Information System (GIS) database.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds608","usgsCitation":"Anderson, E., Smith, S.M., Giles, S.A., Granitto, M., Eppinger, R., Bedrosian, P.A., Shah, A., Kelley, K., Fey, D., Minsley, B., and Brown, P., 2011, Geophysical, geochemical, and mineralogical data from the Pebble Cu-Au-Mo porphyry deposit area, southwest Alaska: Contributions to assessment techniques for concealed mineral resources: U.S. Geological Survey Data Series 608, viii, 43 p., https://doi.org/10.3133/ds608.","productDescription":"viii, 43 p.","numberOfPages":"54","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":116199,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_608.jpg"},{"id":388809,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95238.htm"},{"id":21875,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/608/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.5,\n 60.5444\n ],\n [\n -154.5833,\n 60.5444\n ],\n [\n -154.5833,\n 59.6167\n ],\n [\n -156.5,\n 59.6167\n ],\n [\n -156.5,\n 60.5444\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c28d","contributors":{"authors":[{"text":"Anderson, E. 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