{"pageNumber":"704","pageRowStart":"17575","pageSize":"25","recordCount":40783,"records":[{"id":70038736,"text":"sir20125101 - 2012 - Effects of flood control and other reservoir operations on the water quality of the lower Roanoke River, North Carolina","interactions":[],"lastModifiedDate":"2017-01-17T17:46:31","indexId":"sir20125101","displayToPublicDate":"2012-06-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5101","title":"Effects of flood control and other reservoir operations on the water quality of the lower Roanoke River, North Carolina","docAbstract":"The Roanoke River is an important natural resource for North Carolina, Virginia, and the Nation. Flood plains of the lower Roanoke River, which extend from Roanoke Rapids Dam to Batchelor Bay near Albemarle Sound, support a large and diverse population of nesting birds, waterfowl, freshwater and anadromous fish, and other wildlife, including threatened and endangered species. The flow regime of the lower Roanoke River is affected by a number of factors, including flood-management operations at the upstream John H. Kerr Dam and Reservoir. A three-dimensional, numerical water-quality model was developed to explore links between upstream flows and downstream water quality, specifically in-stream dissolved-oxygen dynamics. Calibration of the hydrodynamics and dissolved-oxygen concentrations emphasized the effect that flood-plain drainage has on water and oxygen levels, especially at locations more than 40 kilometers away from the Roanoke Rapids Dam. Model hydrodynamics were calibrated at three locations on the lower Roanoke River, yielding coefficients of determination between 0.5 and 0.9. Dissolved-oxygen concentrations were calibrated at the same sites, and coefficients of determination ranged between 0.6 and 0.8. The model has been used to quantify relations among river flow, flood-plain water level, and in-stream dissolved-oxygen concentrations in support of management of operations of the John H. Kerr Dam, which affects overall flows in the lower Roanoke River. Scenarios have been developed to mitigate the negative effects that timing, duration, and extent of flood-plain inundation may have on vegetation, wildlife, and fisheries in the lower Roanoke River corridor. Under specific scenarios, the model predicted that mean dissolved-oxygen concentrations could be increased by 15 percent by flow-release schedules that minimize the drainage of anoxic flood-plain waters. The model provides a tool for water-quality managers that can help identify options that improve water quality and protect the aquatic habitat of the Roanoke River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125101","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Garcia, A., 2012, Effects of flood control and other reservoir operations on the water quality of the lower Roanoke River, North Carolina (Original posted June 14, 2012 - Revised September 20, 2012): U.S. Geological Survey Scientific Investigations Report 2012-5101, x, 36 p., https://doi.org/10.3133/sir20125101.","productDescription":"x, 36 p.","numberOfPages":"50","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":257686,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5101.bmp"},{"id":257670,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5101/","linkFileType":{"id":5,"text":"html"}},{"id":262121,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5101/pdf/2012-5101.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","country":"United States","state":"North Carolina, Virginia","county":"Bertie County, Halifax County, Martin County, Northampton County, Washington County","otherGeospatial":"Roanoke River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.75,35.5 ], [ -80.75,37.5 ], [ -76,37.5 ], [ -76,35.5 ], [ -80.75,35.5 ] ] ] } } ] }","edition":"Original posted June 14, 2012 - Revised September 20, 2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a06f4e4b0c8380cd514c5","contributors":{"authors":[{"text":"Garcia, Ana Maria 0000-0002-5388-1281","orcid":"https://orcid.org/0000-0002-5388-1281","contributorId":44634,"corporation":false,"usgs":true,"family":"Garcia","given":"Ana Maria","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464809,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038751,"text":"fs20123073 - 2012 - Development of computational fluid dynamics--habitat suitability (CFD-HSI) models to identify potential passage--Challenge zones for migratory fishes in the Penobscot River","interactions":[],"lastModifiedDate":"2024-03-04T20:27:28.326242","indexId":"fs20123073","displayToPublicDate":"2012-06-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3073","title":"Development of computational fluid dynamics--habitat suitability (CFD-HSI) models to identify potential passage--Challenge zones for migratory fishes in the Penobscot River","docAbstract":"A two-dimensional computational fluid dynamics-habitat suitability (CFD–HSI) model was developed to identify potential zones of shallow depth and high water velocity that may present passage challenges for five anadromous fish species in the Penobscot River, Maine, upstream from two existing dams and as a result of the proposed future removal of the dams. Potential depth-challenge zones were predicted for larger species at the lowest flow modeled in the dam-removal scenario. Increasing flows under both scenarios increased the number and size of potential velocity-challenge zones, especially for smaller species. This application of the two-dimensional CFD–HSI model demonstrated its capabilities to estimate the potential effects of flow and hydraulic alteration on the passage of migratory fish.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123073","usgsCitation":"Haro, A.J., Dudley, R.W., and Chelminski, M., 2012, Development of computational fluid dynamics--habitat suitability (CFD-HSI) models to identify potential passage--Challenge zones for migratory fishes in the Penobscot River: U.S. Geological Survey Fact Sheet 2012-3073, 2 p., https://doi.org/10.3133/fs20123073.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":257693,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3073/","linkFileType":{"id":5,"text":"html"}},{"id":257715,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3073.gif"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","contact":"

Contact Pubs Warehouse

","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0052e4b0c8380cd4f6d4","contributors":{"authors":[{"text":"Haro, Alexander J. 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":2917,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":464862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chelminski, Michael","contributorId":9532,"corporation":false,"usgs":true,"family":"Chelminski","given":"Michael","email":"","affiliations":[],"preferred":false,"id":464863,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038712,"text":"70038712 - 2012 - Laboratory toxicity and benthic invertebrate field colonization of Upper Columbia River sediments: Finding adverse effects using multiple lines of evidence","interactions":[],"lastModifiedDate":"2017-05-24T13:05:30","indexId":"70038712","displayToPublicDate":"2012-06-18T20:51:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory toxicity and benthic invertebrate field colonization of Upper Columbia River sediments: Finding adverse effects using multiple lines of evidence","docAbstract":"

From 1930 to 1995, the Upper Columbia River (UCR) of northeast Washington State received approximately 12 million metric tons of smelter slag and associated effluents from a large smelter facility located in Trail, British Columbia, approximately 10 km north of the United States–Canadian border. Studies conducted during the past two decades have demonstrated the presence of toxic concentrations of heavy metals in slag-based sandy sediments, including cadmium, copper, zinc, and lead in the UCR area as well as the downstream reservoir portion of Lake Roosevelt. We conducted standardized whole-sediment toxicity tests with the amphipod Hyalella azteca (28-day) and the midge Chironomus dilutus (10-day) on 11 samples, including both UCR and study-specific reference sediments. Metal concentrations in sediments were modeled for potential toxicity using three approaches: (1) probable effects quotients (PEQs) based on total recoverable metals (TRMs) and simultaneously extracted metals (SEMs); (2) SEMs corrected for acid-volatile sulfides (AVS; i.e., ∑SEM − AVS); and (3) ∑SEM − AVS normalized to the fractional organic carbon (foc) (i.e., ∑SEM − AVS/foc). The most highly metal-contaminated sample (∑PEQTRM = 132; ∑PEQSEM = 54; ∑SEM − AVS = 323; and ∑SEM − AVS/foc = 64,600 umol/g) from the UCR was dominated by weathered slag sediment particles and resulted in 80% mortality and 94% decrease in biomass of amphipods; in addition, this sample significantly decreased growth of midge by 10%. The traditional ∑AVS – SEM, uncorrected for organic carbon, was the most accurate approach for estimating the effects of metals in the UCR. Treatment of the toxic slag sediment with 20% Resinex SIR-300 metal-chelating resin significantly decreased the toxicity of the sample. Samples ∑SEM − AVS > 244 was not toxic to amphipods or midge in laboratory testing, indicating that this value may be an approximate threshold for effects in the UCR. In situ benthic invertebrate colonization studies in an experimental pond (8-week duration) indicated that two of the most metal-contaminated UCR sediments (dominated by high levels of sand-sized slag particles) exhibited decreased invertebrate colonization compared with sand-based reference sediments. Field-exposed SIR-300 resin samples also exhibited decreased invertebrate colonization numbers compared with reference materials, which may indicate behavioral avoidance of this material under field conditions. Multiple lines of evidence (analytical chemistry, laboratory toxicity, and field colonization results), along with findings from previous studies, indicate that high metal concentrations associated with slag-enriched sediments in the UCR are likely to adversely impact the growth and survival of native benthic invertebrate communities. Additional laboratory toxicity testing, refinement of the applications of sediment benchmarks for metal toxicity, and in situ benthic invertebrate studies will assist in better defining the spatial extent, temporal variations, and ecological impacts of metal-contaminated sediments in the UCR system.

","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00244-012-9752-9","usgsCitation":"Fairchild, J., Kemble, N., Allert, A., Brumbaugh, W.G., Ingersoll, C., Dowling, B., Gruenenfelder, C., and Roland, J., 2012, Laboratory toxicity and benthic invertebrate field colonization of Upper Columbia River sediments: Finding adverse effects using multiple lines of evidence: Archives of Environmental Contamination and Toxicology, v. 63, no. 1, p. 54-68, https://doi.org/10.1007/s00244-012-9752-9.","productDescription":"15 p.","startPage":"54","endPage":"68","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":257849,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","city":"Trail","otherGeospatial":"British Columbia","volume":"63","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-03-09","publicationStatus":"PW","scienceBaseUri":"505a4121e4b0c8380cd6530b","contributors":{"authors":[{"text":"Fairchild, J.F.","contributorId":88891,"corporation":false,"usgs":true,"family":"Fairchild","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":464758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kemble, N.E.","contributorId":28028,"corporation":false,"usgs":true,"family":"Kemble","given":"N.E.","affiliations":[],"preferred":false,"id":464754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allert, A.L.","contributorId":55987,"corporation":false,"usgs":true,"family":"Allert","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":464755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumbaugh, W. G.","contributorId":106441,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"W.","email":"","middleInitial":"G.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":464759,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, C.G. 0000-0003-4531-5949","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":56338,"corporation":false,"usgs":true,"family":"Ingersoll","given":"C.G.","affiliations":[],"preferred":false,"id":464756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dowling, B.","contributorId":15880,"corporation":false,"usgs":true,"family":"Dowling","given":"B.","email":"","affiliations":[],"preferred":false,"id":464752,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gruenenfelder, C.","contributorId":60071,"corporation":false,"usgs":true,"family":"Gruenenfelder","given":"C.","email":"","affiliations":[],"preferred":false,"id":464757,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roland, J.L.","contributorId":17470,"corporation":false,"usgs":true,"family":"Roland","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":464753,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70038733,"text":"sir20105070D - 2012 - Arc-related porphyry molybdenum deposit model","interactions":[],"lastModifiedDate":"2024-04-16T16:37:16.069564","indexId":"sir20105070D","displayToPublicDate":"2012-06-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5070","chapter":"D","title":"Arc-related porphyry molybdenum deposit model","docAbstract":"

This report provides a descriptive model for arc-related porphyry molybdenum deposits. Presented within are geological, geochemical, and mineralogical characteristics that differentiate this deposit type from porphyry copper and alkali-feldspar rhyolite-granite porphyry molybdenum deposits. The U.S. Geological Survey's effort to update existing mineral deposit models spurred this research, which is intended to supplement previously published models for this deposit type that help guide mineral-resource and mineral-environmental assessments.

\n

Arc-related porphyry molybdenum deposits are a substantial resource for molybdenum metal and may have anomalous concentrations of tungsten. The deposits contain low-grade ore (0.03-0.22 percent molybdenum) as molybdenite, but are large-tonnage, making them amenable to bulk mining open-pit techniques. The mineralizing system usually has fluorine contents of less than 0.1 percent. The cogenetic intrusion is a differentiated calc-alkaline granitoid, typically granodiorite to quartz monzonite in composition, with low rubidium and niobium, and moderate to high strontium concentrations. Metals and hydrothermal fluids are sourced from these intrusions, with an additional meteoric fluid component contributing to peripheral alteration but not adding more metal. The lithology of the surrounding country rocks is not important to the formation of these deposits, but a surrounding carbonate unit may be altered to skarn that contains economic mineralization. The creation of contact-metamorphosed hornfels adjacent to the intrusion is common.

\n

Formation of arc-related porphyry molybdenum deposits typically occurs within a continental arc environment related to arc-continent or continent-continent collision and subduction. Few deposits are found in an island arc setting. Most classified arc-related porphyry molybdenum deposits are located in the western cordillera of North America, notably in British Columbia and Alaska.

\n

Hydrothermal alteration provides a key component to the identification of a deposit. Alteration usually is zoned from a core of potassic plus/minus silicic alteration outwards through phyllic to propylitic alteration. Argillic alteration may be irregular in shape and will overprint earlier hydrothermal alteration.

\n

Exploration should be limited to magmatic arc belts that have been unroofed and eroded to levels of a few kilometers depth. Important geological vectors toward areas of higher grade mineralization include intensity of hydrothermal alteration, veining, and faulting. Anomalous levels of molybdenum, tungsten, copper, lead, or zinc in soils, tills, stream sediments, and drainage waters may indicate the presence of an arc-related porphyry molybdenum deposit. Geophysical exploration techniques have been met with minimal success because of the overall low concentration of associated sulfide and oxide minerals.

\n

Geoenvironmental concerns are generally low because of low volumes of sulfide minerals. Most deposits are marginally acid-generating to non-acid-generating with drainage waters being near-neutral pH because of the acid generating potential of pyrite being partially buffered by late-stage calcite-bearing veins. The low ore content results in a waste:ore ratio of nearly 1:1 and large tailings piles from the open-pit method of mining.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral deposit models for resource assessment (Scientific Investigations Report 2010-5070)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105070D","usgsCitation":"Taylor, R.D., Hammarstrom, J.M., Piatak, N., and Seal, R., 2012, Arc-related porphyry molybdenum deposit model: U.S. Geological Survey Scientific Investigations Report 2010-5070, vii, 51 p., https://doi.org/10.3133/sir20105070D.","productDescription":"vii, 51 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":257656,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/sir_2010_5070_D.gif"},{"id":311530,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/d/sir2010-5070d.pdf","text":"Report","size":"17.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":257655,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5070/d/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed2ce4b0c8380cd4968a","contributors":{"authors":[{"text":"Taylor, Ryan D. 0000-0002-8845-5290 rtaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":3412,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"rtaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":464806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":464805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatak, Nadine M.","contributorId":23621,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine M.","affiliations":[],"preferred":false,"id":464807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":464804,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70118275,"text":"70118275 - 2012 - The 2008 U.S. Geological Survey national seismic hazard models and maps for the central and eastern United States","interactions":[],"lastModifiedDate":"2017-04-14T10:30:40","indexId":"70118275","displayToPublicDate":"2012-06-15T10:53:39","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"The 2008 U.S. Geological Survey national seismic hazard models and maps for the central and eastern United States","docAbstract":"In this paper, we describe the scientific basis for the source and ground-motion models applied in the 2008 National Seismic Hazard Maps, the development of new products that are used for building design and risk analyses, relationships between the hazard maps and design maps used in building codes, and potential future improvements to the hazard maps.","language":"English","publisher":"Geological Society of America","doi":"10.1130/2012.2493(12)","usgsCitation":"Petersen, M.D., Frankel, A.D., Harmsen, S., Mueller, C.S., Boyd, O.S., Luco, N., Wheeler, R.L., Rukstales, K.S., and Haller, K., 2012, The 2008 U.S. Geological Survey national seismic hazard models and maps for the central and eastern United States: GSA Special Papers, v. 493, p. 246-257, https://doi.org/10.1130/2012.2493(12).","productDescription":"15 p.","startPage":"246","endPage":"257","costCenters":[],"links":[{"id":291130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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olboyd@usgs.gov","contributorId":956,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":496674,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luco, Nicolas 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":1188,"corporation":false,"usgs":true,"family":"Luco","given":"Nicolas","email":"nluco@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":496676,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wheeler, Russell L. wheeler@usgs.gov","contributorId":858,"corporation":false,"usgs":true,"family":"Wheeler","given":"Russell","email":"wheeler@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":496672,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rukstales, Kenneth S. 0000-0003-2818-078X rukstales@usgs.gov","orcid":"https://orcid.org/0000-0003-2818-078X","contributorId":775,"corporation":false,"usgs":true,"family":"Rukstales","given":"Kenneth","email":"rukstales@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":496671,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Haller, Kathleen M. haller@usgs.gov","contributorId":1331,"corporation":false,"usgs":true,"family":"Haller","given":"Kathleen M.","email":"haller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":496677,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70004720,"text":"70004720 - 2012 - Evaluating a fish monitoring protocol using state-space hierarchical models","interactions":[],"lastModifiedDate":"2018-01-30T10:49:44","indexId":"70004720","displayToPublicDate":"2012-06-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2948,"text":"Open Fish Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating a fish monitoring protocol using state-space hierarchical models","docAbstract":"Using data collected from three river reaches in Montana, we evaluated our ability to detect population trends and predict fish future fish abundance. Data were collected as part of a long-term monitoring program conducted by Montana Fish, Wildlife and Parks to primarily estimate rainbow (Oncorhynchus mykiss) and brown trout (Salmo trutta) abundance in numerous rivers across Montana. We used a hierarchical Bayesian mark-recapture model to estimate fish abundance over time in each of the three river reaches. We then fit a state-space Gompertz model to estimate current trends and future fish populations. Density dependent effects were detected in 1 of the 6 fish populations. Predictions of future fish populations displayed wide credible intervals. Our simulations indicated that given the observed variation in the abundance estimates, the probability of detecting a 30% decline in fish populations over a five-year period was less than 50%. We recommend a monitoring program that is closely tied to management objectives and reflects the precision necessary to make informed management decisions.","language":"English","publisher":"Bentham Open","publisherLocation":"Oak Park, IL","doi":"10.2174/1874401X01205010001","usgsCitation":"Russell, R.E., Schmetterling, D.A., Guy, C.S., Shepard, B.B., McFarland, R., and Skaar, D., 2012, Evaluating a fish monitoring protocol using state-space hierarchical models: Open Fish Science Journal, v. 5, p. 1-8, https://doi.org/10.2174/1874401X01205010001.","productDescription":"8 p.","startPage":"1","endPage":"8","ipdsId":"IP-030676","costCenters":[{"id":398,"text":"Montana Cooperative Fishery Research Unit","active":false,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":474459,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2174/1874401x01205010001","text":"Publisher Index Page"},{"id":257644,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257639,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2174/1874401X01205010001","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","volume":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0bd8e4b0c8380cd528e5","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":351213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmetterling, David A.","contributorId":20223,"corporation":false,"usgs":true,"family":"Schmetterling","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":351214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Chris S.","contributorId":87423,"corporation":false,"usgs":true,"family":"Guy","given":"Chris","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":351216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shepard, Bradley B.","contributorId":57327,"corporation":false,"usgs":true,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":351215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McFarland, Robert","contributorId":87822,"corporation":false,"usgs":true,"family":"McFarland","given":"Robert","email":"","affiliations":[],"preferred":false,"id":351217,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skaar, Donald","contributorId":99008,"corporation":false,"usgs":true,"family":"Skaar","given":"Donald","affiliations":[],"preferred":false,"id":351218,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70006256,"text":"70006256 - 2012 - Glaciation and regional groundwater flow in the Fennoscandian shield","interactions":[],"lastModifiedDate":"2012-06-16T01:01:36","indexId":"70006256","displayToPublicDate":"2012-06-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1765,"text":"Geofluids","active":true,"publicationSubtype":{"id":10}},"title":"Glaciation and regional groundwater flow in the Fennoscandian shield","docAbstract":"Regional-scale groundwater flow modeling of the Fennoscandian shield suggests that groundwater flow can be strongly affected by future climate change and glaciation. We considered variable-density groundwater flow in a 1500-km-long and approximately 10-km-deep cross-section through southern Sweden. Groundwater flow and shield brine transport in the cross-sectional model were analyzed under projected surface conditions for the next 140 ka. Simulations suggest that blockage of recharge and discharge by low-permeability permafrost or cold-based ice causes sinking of brine and consequent freshening of near-surface water in areas of natural discharge. Although recharge of basal meltwater is limited by the requirement that water pressure at the base of the ice sheet not exceed the pressure exerted by the weight of the ice, warm-based ice with basal melting creates a potential for groundwater recharge rates much larger than those of present, ice-free conditions. In the simulations, regional-scale redistribution of recharged water by subsurface flow is minor over the duration of a glacial advance (approximately 10 ka). During glacial retreat, significant upward flow of groundwater may occur below the ice sheet owing to pressure release. If the mechanical loading efficiency of the rocks is high, both subsurface penetration of meltwater during glacial advance and up-flow during glacial retreat are reduced because of loading-induced pressure changes. The maximum rate of groundwater discharge in the simulations occurs at the receding ice margin, and some discharge occurs below incursive postglacial seas. Recharge of basal meltwater could decrease the concentration of dissolved solids significantly below present-day levels at depths of up to several kilometers and may bring oxygenated conditions to an otherwise reducing chemical environment for periods exceeding 10 ka.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geofluids","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1468-8123.2012.00361.x","usgsCitation":"Provost, A., Voss, C., and Neuzil, C., 2012, Glaciation and regional groundwater flow in the Fennoscandian shield: Geofluids, v. 12, no. 1, p. 79-96, https://doi.org/10.1111/j.1468-8123.2012.00361.x.","productDescription":"18","startPage":"79","endPage":"96","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":257634,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257624,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1468-8123.2012.00361.x","linkFileType":{"id":5,"text":"html"}}],"country":"Sweden","otherGeospatial":"Fennoscandian Shield","volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-02-20","publicationStatus":"PW","scienceBaseUri":"505a290ee4b0c8380cd5a64a","contributors":{"authors":[{"text":"Provost, A.M.","contributorId":16098,"corporation":false,"usgs":true,"family":"Provost","given":"A.M.","affiliations":[],"preferred":false,"id":354162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, C.I.","contributorId":79515,"corporation":false,"usgs":true,"family":"Voss","given":"C.I.","email":"","affiliations":[],"preferred":false,"id":354163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neuzil, C. E. 0000-0003-2022-4055","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":81078,"corporation":false,"usgs":true,"family":"Neuzil","given":"C. E.","affiliations":[],"preferred":false,"id":354164,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038726,"text":"fs20123081 - 2012 - February 2012 workshop jumpstarts the Mekong Fish Monitoring Network","interactions":[],"lastModifiedDate":"2012-06-16T01:01:36","indexId":"fs20123081","displayToPublicDate":"2012-06-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3081","title":"February 2012 workshop jumpstarts the Mekong Fish Monitoring Network","docAbstract":"The Mekong River in Southeast Asia travels through a basin rich in natural resources. The river originates on the northern slope of the world's tallest mountains, the Himalaya Range, and then drops elevation quickly through steep mountain gorges, tumbling out of China into Myanmar (Burma) and the Lao People's Democratic Republic (Lao PDR). The precipitous terrain of Lao PDR and Thailand generates interest in the river and its tributaries for hydropower development. The terrain, soils, water, and climate make it one of the world's most biologically rich regions. The Mekong's bounty is again on display in the Mekong River Delta, where rice production has successfully been increased to high levels making Vietnam second only to Thailand as the world's largest rice exporters. At least 800 fish species contribute to the natural resource bounty of the Mekong River and are the basis for one of the world's most productive fisheries that provide the primary protein source to more than 50 million people. Against this backdrop of rich natural resources, the U.S. Geological Survey (USGS) is working with the consulting firm FISHBIO, colleagues from the international Delta Research and Global Observation Network (DRAGON) Institute, and a broad contingent of Southeast Asian representatives and partners from abroad to increase knowledge of the Mekong River fisheries and to develop the capacity of permanent residents to investigate and understand these fisheries resources. With the Lower Mekong Basin (LMB) region facing the likelihood of significant environmental changes as a result of both human activities and global climate change, enhancing environmental understanding is critical. To encourage cooperation among the LMB scientists and managers in the study of the Mekong River's fisheries, FISHBIO and the USGS, with generous support from the U.S. State Department, hosted a workshop in Phnom Penh, Cambodia, in February 2012. Workshop participants were from Lao PDR, Thailand, Cambodia, and Vietnam. Representatives from the governments, universities, nongovernmental organizations, and the Mekong River Commission discussed current and potential methods and mechanisms of the Mekong Fish Monitoring Network. The goals of the workshop were to determine if the Network and associated databases were of interest and value to the LMB nations, to determine if future fisheries monitoring data would be comparable among the nations, and to establish methods and an organizational structure for collaborating on future monitoring and research. The participants in this international workshop agreed that the Network would be useful but would require additional funding to secure their full participation. The USGS and FISHBIO are collaboratively seeking additional funding to expand research participation and projects in all four LMB nations. If the Network can facilitate cooperation among many fisheries researchers in the LMB, the basin would become a model of cooperative international fishery studies and would increase the understanding of a river basin rich in natural resources.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123081","usgsCitation":"Andersen, M.E., and Ainsley, S.M., 2012, February 2012 workshop jumpstarts the Mekong Fish Monitoring Network: U.S. Geological Survey Fact Sheet 2012-3081, 4 p., https://doi.org/10.3133/fs20123081.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":257635,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3081.gif"},{"id":257625,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3081/","linkFileType":{"id":5,"text":"html"}}],"country":"Cambodia;China;Laos;Myanmar (burma);Thailand","city":"Phnom Penh","otherGeospatial":"Mekong River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 88.5,8.5 ], [ 88.5,32.5 ], [ 111.5,32.5 ], [ 111.5,8.5 ], [ 88.5,8.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0f47e4b0c8380cd5384e","contributors":{"authors":[{"text":"Andersen, Matthew E. 0000-0003-4115-5028 mandersen@usgs.gov","orcid":"https://orcid.org/0000-0003-4115-5028","contributorId":3190,"corporation":false,"usgs":true,"family":"Andersen","given":"Matthew","email":"mandersen@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":464792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ainsley, Shaara M.","contributorId":107973,"corporation":false,"usgs":true,"family":"Ainsley","given":"Shaara","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464793,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007440,"text":"70007440 - 2012 - Genesis of the Touissit-Bou Beker Mississippi Valley-type district (Morocco-Algeria) and its relation to the Africa-Europe collision","interactions":[],"lastModifiedDate":"2021-11-05T15:23:44.896079","indexId":"70007440","displayToPublicDate":"2012-06-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Genesis of the Touissit-Bou Beker Mississippi Valley-type district (Morocco-Algeria) and its relation to the Africa-Europe collision","docAbstract":"The Mississippi Valley-type deposits of the Touissit-Bou Beker district are hosted by a 25 m thick sequence of diagenetically and hydrothermally dolomitized carbonate platform rocks of Aalenian-Bajocian age. The sulfide mineralization consists principally of galena and sphalerite and occurs as open-space fillings of voids and moderate to massive replacement of the medium- to coarse-grained host dolostone. Five types of dolomite have been distinguished, two of which (D1 and D2) are of replacement origin, whereas HD1, HD2, HD3 occurring as open-space filling are of hydrothermal affiliation. Main ore controls include stratigraphy and lithology, carbonate dissolution, paleogeography, faults or faulted rocks, and availability of organic matter. Fluid inclusion data, along with Na-Cl-Br leachate, indicate that the ore-forming fluids correspond to evolved NaCl-CaCl2-KCl-MgCl2 basin-derived hot (100° ± 20°C) saline brines (>20 wt % NaCl equiv) that acquired their high salinities and Ca/Na ratios through evaporation of seawater, and subsequent dolomitization and fluid-rock interactions. Stable isotope data for replacement and hydrothermal dolomites are tightly clustered and overlapping, with δ18O and δ13C values from 20.5 to 21.2 and 0.2 to 0.7‰, respectively. Similarly, sulfides yield δ34S values between 11.2 and 1.9‰, whereas those corresponding to the nearby Triassic gypsum cluster yield around 14‰. Altogether, these isotopic compositions are consistent with a basinal-type fluid with reduced sulfur very likely being derived through thermochemical reduction of dissolved sulfate, resulting in metal precipitation, and carbon of mainly marine Aalenian-Bajocian carbonate origin with a minor biogenic component. 87Sr/86Sr values of replacement dolostone are similar to those of ore-related hydrothermal dolomites, ranging from 0.70746 to 0.70833 and from 0.70769 to 0.70828, respectively, and are different from those of the Visean rhyodacite (0.71849–0.72167). Lead isotope ratios (206Pb/204Pb = 18.319–18.390; 207Pb/204Pb = 15.620–15.680; 208Pb/204Pb = 38.452–38.650) of sulfides are consistent with Pb being derived from the Visean rhyodacite and associated volcaniclastic rocks. The intimate link between faults and mineralization suggests the strong possibility of brine flow along both ENE-trending regional-scale faults and NW-SW-trending local-scale faults. The data suggest that MVT mineralization was emplaced during the late Neogene-Quaternary (i.e., ca. 15–0 Ma), possibly as a result of subsurface gravity-driven fluid flow in response to the collision between the African and Eurasian plates.","language":"English","publisher":"Society of Economic Geologists","publisherLocation":"Littleton, CO","doi":"10.2113/econgeo.107.1.117","usgsCitation":"Bouabdellah, M., Sangster, D.F., Leach, D.L., Brown, A.C., Johnson, C.A., and Emsbo, P., 2012, Genesis of the Touissit-Bou Beker Mississippi Valley-type district (Morocco-Algeria) and its relation to the Africa-Europe collision: Economic Geology, v. 107, no. 1, p. 117-146, https://doi.org/10.2113/econgeo.107.1.117.","productDescription":"30 p,","startPage":"117","endPage":"146","ipdsId":"IP-031162","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":257630,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Algeria, Morocco","otherGeospatial":"Touissit-bou Beker District","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -9.0966796875,\n 29.11377539511439\n ],\n [\n -1.3842773437499998,\n 29.11377539511439\n ],\n [\n -1.3842773437499998,\n 35.746512259918504\n ],\n [\n -9.0966796875,\n 35.746512259918504\n ],\n [\n -9.0966796875,\n 29.11377539511439\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"107","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-13","publicationStatus":"PW","scienceBaseUri":"505a155ce4b0c8380cd54d9a","contributors":{"authors":[{"text":"Bouabdellah, Mohammed","contributorId":71818,"corporation":false,"usgs":true,"family":"Bouabdellah","given":"Mohammed","email":"","affiliations":[],"preferred":false,"id":356401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sangster, Donald F.","contributorId":7124,"corporation":false,"usgs":false,"family":"Sangster","given":"Donald","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":356400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leach, David L.","contributorId":83902,"corporation":false,"usgs":true,"family":"Leach","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":356402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Alex C.","contributorId":102730,"corporation":false,"usgs":true,"family":"Brown","given":"Alex","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":356403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":356398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Emsbo, Poul 0000-0001-9421-201X pemsbo@usgs.gov","orcid":"https://orcid.org/0000-0001-9421-201X","contributorId":997,"corporation":false,"usgs":true,"family":"Emsbo","given":"Poul","email":"pemsbo@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":356399,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70004529,"text":"70004529 - 2012 - Estimating pole/zero errors in GSN-IRIS/USGS network calibration metadata","interactions":[],"lastModifiedDate":"2012-06-16T01:01:36","indexId":"70004529","displayToPublicDate":"2012-06-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Estimating pole/zero errors in GSN-IRIS/USGS network calibration metadata","docAbstract":"Mapping the digital record of a seismograph into true ground motion requires the correction of the data by some description of the instrument's response. For the Global Seismographic Network (Butler et al., 2004), as well as many other networks, this instrument response is represented as a Laplace domain pole–zero model and published in the Standard for the Exchange of Earthquake Data (SEED) format. This Laplace representation assumes that the seismometer behaves as a linear system, with any abrupt changes described adequately via multiple time-invariant epochs. The SEED format allows for published instrument response errors as well, but these typically have not been estimated or provided to users. We present an iterative three-step method to estimate the instrument response parameters (poles and zeros) and their associated errors using random calibration signals. First, we solve a coarse nonlinear inverse problem using a least-squares grid search to yield a first approximation to the solution. This approach reduces the likelihood of poorly estimated parameters (a local-minimum solution) caused by noise in the calibration records and enhances algorithm convergence. Second, we iteratively solve a nonlinear parameter estimation problem to obtain the least-squares best-fit Laplace pole–zero–gain model. Third, by applying the central limit theorem, we estimate the errors in this pole–zero model by solving the inverse problem at each frequency in a two-thirds octave band centered at each best-fit pole–zero frequency. This procedure yields error estimates of the 99% confidence interval. We demonstrate the method by applying it to a number of recent Incorporated Research Institutions in Seismology/United States Geological Survey (IRIS/USGS) network calibrations (network code IU).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120110195","usgsCitation":"Ringler, A., Hutt, C., Aster, R., Bolton, H., Gee, L., and Storm, T., 2012, Estimating pole/zero errors in GSN-IRIS/USGS network calibration metadata: Bulletin of the Seismological Society of America, v. 102, no. 2, p. 836-841, https://doi.org/10.1785/0120110195.","productDescription":"6 p.","startPage":"836","endPage":"841","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":257633,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257628,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110195","linkFileType":{"id":5,"text":"html"}}],"volume":"102","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-03-29","publicationStatus":"PW","scienceBaseUri":"505a0b38e4b0c8380cd52616","contributors":{"authors":[{"text":"Ringler, A. T. 0000-0002-9839-4188","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":99282,"corporation":false,"usgs":true,"family":"Ringler","given":"A. T.","affiliations":[],"preferred":false,"id":350579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutt, C. R. 0000-0001-9033-9195","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":61910,"corporation":false,"usgs":true,"family":"Hutt","given":"C. R.","affiliations":[],"preferred":false,"id":350577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aster, R.","contributorId":84153,"corporation":false,"usgs":true,"family":"Aster","given":"R.","affiliations":[],"preferred":false,"id":350578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bolton, H.","contributorId":50325,"corporation":false,"usgs":true,"family":"Bolton","given":"H.","email":"","affiliations":[],"preferred":false,"id":350576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gee, L.S.","contributorId":37980,"corporation":false,"usgs":true,"family":"Gee","given":"L.S.","email":"","affiliations":[],"preferred":false,"id":350575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Storm, T.","contributorId":15454,"corporation":false,"usgs":true,"family":"Storm","given":"T.","email":"","affiliations":[],"preferred":false,"id":350574,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70007501,"text":"70007501 - 2012 - Future of groundwater modeling","interactions":[],"lastModifiedDate":"2014-09-24T15:26:03","indexId":"70007501","displayToPublicDate":"2012-06-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Future of groundwater modeling","docAbstract":"With an increasing need to better manage water resources, the future of groundwater modeling is bright and exciting. However, while the past can be described and the present is known, the future of groundwater modeling, just like a groundwater model result, is highly uncertain and any prediction is probably not going to be entirely representative. Thus we acknowledge this as we present our vision of where groundwater modeling may be headed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1745-6584.2012.00937.x","usgsCitation":"Langevin, C.D., and Panday, S., 2012, Future of groundwater modeling: Ground Water, v. 50, no. 3, p. 334-339, https://doi.org/10.1111/j.1745-6584.2012.00937.x.","productDescription":"6 p.","startPage":"334","endPage":"339","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":257620,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257618,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2012.00937.x","linkFileType":{"id":5,"text":"html"}}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-04-27","publicationStatus":"PW","scienceBaseUri":"505a1433e4b0c8380cd54951","contributors":{"authors":[{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":356533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Panday, Sorab","contributorId":100513,"corporation":false,"usgs":true,"family":"Panday","given":"Sorab","affiliations":[],"preferred":false,"id":356534,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005928,"text":"70005928 - 2012 - Evaluating remedial alternatives for an acid mine drainage stream: A model post audit","interactions":[],"lastModifiedDate":"2017-08-26T14:04:33","indexId":"70005928","displayToPublicDate":"2012-06-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating remedial alternatives for an acid mine drainage stream: A model post audit","docAbstract":"A post audit for a reactive transport model used to evaluate acid mine drainage treatment systems is presented herein. The post audit is based on a paired synoptic approach in which hydrogeochemical data are collected at low (existing conditions) and elevated (following treatment) pH. Data obtained under existing, low-pH conditions are used for calibration, and the resultant model is used to predict metal concentrations observed following treatment. Predictions for Al, As, Fe, H+, and Pb accurately reproduce the observed reduction in dissolved concentrations afforded by the treatment system, and the information provided in regard to standard attainment is also accurate (predictions correctly indicate attainment or nonattainment of water quality standards for 19 of 25 cases). Errors associated with Cd, Cu, and Zn are attributed to misspecification of sorbent mass (precipitated Fe). In addition to these specific results, the post audit provides insight in regard to calibration and sensitivity analysis that is contrary to conventional wisdom. Steps taken during the calibration process to improve simulations of As sorption were ultimately detrimental to the predictive results, for example, and the sensitivity analysis failed to bracket observed metal concentrations.","language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es2038504","usgsCitation":"Runkel, R.L., Kimball, B.A., Walton-Day, K., Verplanck, P.L., and Broshears, R.E., 2012, Evaluating remedial alternatives for an acid mine drainage stream: A model post audit: Environmental Science & Technology, v. 46, no. 1, p. 340-347, https://doi.org/10.1021/es2038504.","productDescription":"8 p.","startPage":"340","endPage":"347","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":257646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Mineral Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.73133277893065,\n 37.87227881950715\n ],\n [\n -107.73133277893065,\n 37.890976310542925\n ],\n [\n -107.7088451385498,\n 37.890976310542925\n ],\n [\n -107.7088451385498,\n 37.87227881950715\n ],\n [\n -107.73133277893065,\n 37.87227881950715\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-12-14","publicationStatus":"PW","scienceBaseUri":"505a0bf1e4b0c8380cd52961","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":513478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":513477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton-Day, Katherine 0000-0002-9146-6193","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":68339,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","affiliations":[],"preferred":false,"id":513481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":513479,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Broshears, Robert E.","contributorId":40675,"corporation":false,"usgs":true,"family":"Broshears","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":513480,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70009606,"text":"70009606 - 2012 - A zonal evaluation of intrinsic susceptibility in selected principal aquifers of the United States","interactions":[],"lastModifiedDate":"2012-06-16T01:01:36","indexId":"70009606","displayToPublicDate":"2012-06-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A zonal evaluation of intrinsic susceptibility in selected principal aquifers of the United States","docAbstract":"A method was developed to evaluate intrinsic groundwater susceptibility in 11 study areas across the United States. Calibrated groundwater-flow models and a variable-advection particle-tracking scheme that accounts for uncertainty were used to derive ranges of conservative solute concentration and groundwater age within spatially defined zones from solute loading to the water table. Aquifers were partitioned into six zones; four relative depth zones and two zones to represent pumping wells and surface water. Five years after solute was introduced in simulated recharge and stream leakage, normalized zone concentrations were detected at values above 10-4 in the shallowest aquifer zone, well zone, and surface-water zone for 10 of the 11 study areas. At the 125-year time scale, 9 out of the 11 study areas exhibited detectable concentrations in all zones and the majority of zones possess concentrations that are substantial relative to the source concentration (ClCo > 10-1). Thresholds defined by the time representing the earliest 1% of groundwater-transit times were used to identify fast transport pathways within the groundwater. The 1% thresholds occurred in a period of days to years for the shallow zone, days to decades for the well and surface-water zones, and years to millennia for the deeper zones. Thresholds defined by the 99th percentile of groundwater travel times were used to reflect late-time response and ranged considerably between study area (~102 to ~106 years), which highlights the potential for chemical constituents to persist in groundwater for long periods under a conservative state. The results of this investigation provide an instructive example of the intricate relations between climate and aquifer characteristics and their role on solute transport in groundwater. The proposed method accounts for dynamical processes in the aquifer and complements more traditional assessments of susceptibility using (apparent) mean water age.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jhydrol.2012.03.012","usgsCitation":"Wellman, T., Kauffman, L., and Clark, B., 2012, A zonal evaluation of intrinsic susceptibility in selected principal aquifers of the United States: Journal of Hydrology, v. 440-441, p. 36-51, https://doi.org/10.1016/j.jhydrol.2012.03.012.","productDescription":"16 p.","startPage":"36","endPage":"51","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":257648,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257642,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2012.03.012","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"440-441","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e622e4b0c8380cd471a3","contributors":{"authors":[{"text":"Wellman, Tristan P.","contributorId":56500,"corporation":false,"usgs":true,"family":"Wellman","given":"Tristan P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":356723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Leon","contributorId":98992,"corporation":false,"usgs":true,"family":"Kauffman","given":"Leon","affiliations":[],"preferred":false,"id":356724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Brian","contributorId":29260,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","affiliations":[],"preferred":false,"id":356722,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038713,"text":"sir20125008 - 2012 - The potential effects of sodium bicarbonate, a major constituent from coalbed natural gas production, on aquatic life","interactions":[],"lastModifiedDate":"2017-02-01T11:12:53","indexId":"sir20125008","displayToPublicDate":"2012-06-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5008","title":"The potential effects of sodium bicarbonate, a major constituent from coalbed natural gas production, on aquatic life","docAbstract":"The production water from coalbed natural gas (CBNG) extraction contains many constituents. The U.S. Environmental Protection Agency has established aquatic life criteria for some of these constituents, and it is therefore possible to evaluate their risk to aquatic life. However, of the major ions associated with produced waters, chloride is the only one with an established aquatic life criterion (U.S. Environmental Protection Agency, 1988). \r\n\r\nThe focus of this research was NaHCO3, a compound that is a major constituent of coalbed natural gas produced waters in the Tongue and Powder River Basins. This project included laboratory experiments, field in situ experiments, a field mixing zone study, and a fishery presence/absence assessment. \r\n\r\nThough this investigation focuses on the Tongue and Powder River Basins, the information is applicable to other watersheds where sodium bicarbonate is a principle component of product water either from CBNG or from traditional or unconventional oil and gas development. These data can also be used to separate effects of saline discharges from those potentially posed by other constituents. Finally, this research effort and the additional collaboration with USGS Water Resources and Mapping, Bureau of Land Management, US Environmental Protection Agency, State of Montana, State of Wyoming, Montana State University, University of Wyoming, and others as part of a Powder River Aquatic Task Group, can be used as a model for successful approaches to studying landscapes with energy development. \r\n\r\nThe laboratory acute toxicity experiments were completed with a suite of organisms, including 7 species of fish, 5 species of invertebrates, and 1 amphibian species. Experiments performed on these multiple species resulted in LC50s that ranged from 1,120 to greater than (>) 8,000 milligrams sodium bicarbonate per liter (mg NaHCO3/L) (also defined as 769 to >8,000 milligrams bicarbonate per liter (mg HCO3-/L) or total alkalinity expressed as 608 to >4,181 milligrams calcium carbonate per liter (mg CaCO3/L)) that varied across species and lifestage within a species. The age at which fish were exposed to NaHCO3 significantly affected the severity of toxic responses for some organisms. The chronic toxicity of NaHCO3 was defined in experiments that lasted from 7—60 days post-hatch. For these experiments, sublethal effects such as growth and reproduction, in addition to significant reductions in survival were included in the final determination of effects. Chronic toxicity was observed at concentrations that ranged from 450 to 800mg NaHCO3/L (also defined as 430 to 657 mg HCO3-/L or total alkalinity expressed as 354 to 539 mg CaCO3/L) and the specific concentration depended on the sensitivity of the four species of invertebrates and fish exposed. Sublethal investigations during chronic studies revealed percent decrease in the activity of sodium-potassium adenosine triphosphatase (Na/K ATPase, an enzyme involved in ionoregulation) and the age of the fish at the onset of the decrease may affect the ability of fathead minnow to survive exposures to NaHCO3. A database of toxicity evaluations of NaHCO3 on aquatic life has been constructed. Using these data, sample acute and chronic criteria of 459 and 381 mg NaHCO3/L, respectively, can be calculated for the protection of aquatic life. The final derivation and implementation of such criteria is, of course, left to the discretion of the concerned management agencies. \r\n\r\nA combination of in situ experiments, static-renewal experiments performed simultaneously with in situ experiments, and static renewal experiments performed with site water in the laboratory, demonstrated that untreated coalbed natural gas (CBNG) product water from the Tongue and Powder River Basins reduces survival of fathead minnow and pallid sturgeon. More precisely, the survival of early-lifestage fathead minnow, especially those less than 6-days post hatch (dph), likely is reduced significantly in the field when concentrations of NaHCO3 rise above 1,500 mg/L. However, age was not a factor for pallid sturgeon and they were sensitive to product water regardless of age. \r\n\r\nTreatment with the Higgins Loop™ technology and dilution of untreated water increased survival in the laboratory. Both of these situations reduced ammonia in addition to the concentrations of NaHCO3. These experiments addressed the acute toxicity of effluent waters being added to the main stem rivers, but did not address issues related to the volumes of water that may be added to the watershed. Mixing zones of the three outfalls studied ranged from approximately 800—1,200 m below the confluence and the areas within these mixing zones with acutely lethal concentrations of NaHCO3 (as defined by the presence of concentrated dye) are limited. The areas with concentrations of NaHCO3 more than the concentrations likely to cause significant mortality, and more than the calculated sample water-quality criteria in the Tongue and Powder River Basins appear to be limited to tributaries and parts of mixing zones with considerable additions of untreated effluent.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125008","collaboration":"Prepared in cooperation with Montana Fish, Wildlife, and Parks, U.S. Bureau of Land Management, and the U.S. Environmental Protection Agency","usgsCitation":"Farag, A.M., and Harper, D., 2012, The potential effects of sodium bicarbonate, a major constituent from coalbed natural gas production, on aquatic life: U.S. Geological Survey Scientific Investigations Report 2012-5008, vi, 101 p., https://doi.org/10.3133/sir20125008.","productDescription":"vi, 101 p.","onlineOnly":"Y","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":257587,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5008.JPG"},{"id":334534,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5008/sir12-5008.pdf","size":"2.18 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":257583,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5008/","linkFileType":{"id":5,"text":"html"}}],"projection":"Lambert Conformal Conic","datum":"North American Datum 1983","country":"United States","state":"Montana;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.5,42.5 ], [ -107.5,46.75 ], [ -104.5,46.75 ], [ -104.5,42.5 ], [ -107.5,42.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baeabe4b08c986b32426c","contributors":{"authors":[{"text":"Farag, Aida M. 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":1139,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":464760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harper, David D.","contributorId":102946,"corporation":false,"usgs":true,"family":"Harper","given":"David D.","affiliations":[],"preferred":false,"id":464761,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038710,"text":"ds690 - 2012 - Data resources for range-wide assessment of livestock grazing across the sagebrush biome","interactions":[],"lastModifiedDate":"2017-12-27T15:01:58","indexId":"ds690","displayToPublicDate":"2012-06-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"690","title":"Data resources for range-wide assessment of livestock grazing across the sagebrush biome","docAbstract":"The data contained in this series were compiled, modified, and analyzed for the U.S. Geological Survey (USGS) report \"Range-Wide Assessment of Livestock Grazing Across the Sagebrush Biome.\" This report can be accessed through the USGS Publications Warehouse (online linkage: http://pubs.usgs.gov/of/2011/1263/). The dataset contains spatial and tabular data related to Bureau of Land Management (BLM) Grazing Allotments. We reviewed the BLM national grazing allotment spatial dataset available from the GeoCommunicator National Integrated Land System (NILS) website in 2007 (http://www.geocommunicator.gov). We identified several limitations in those data and learned that some BLM State and/or field offices had updated their spatial data to rectify these limitations, but maintained the data outside of NILS. We contacted appropriate BLM offices (State or field, 25 in all) to obtain the most recent data, assessed the data, established a data development protocol, and compiled data into a topologically enforced dataset throughout the area of interest for this project (that is, the pre-settlement distribution of Greater Sage-Grouse in the Western United States). The final database includes three spatial datasets: Allotments (BLM Grazing Allotments), OUT_Polygons (nonallotment polygons used to ensure topology), and Duplicate_Polygon_Allotments. See Appendix 1 of the aforementioned report for complete methods. The tabular data presented here consists of information synthesized by the Land Health Standard (LHS) analysis (Appendix 2), and data obtained from the BLM Rangeland Administration System (http://www.blm.gov/ras/). In 2008, available LHS data for all allotments in all regions were compiled by BLM in response to a Freedom of Information Act (FOIA) request made by a private organization. The BLM provided us with a copy of these data. These data provided three major types of information that were of interest: (1) date(s) (if any) of the most recent LHS evaluation for each allotment; (2) whether if evaluated, each region-specific standard (3–8 LHS depending on region) had been met on a given allotment; and (3) whether livestock contributed to any of these standards not being met. A description of how we processed the original data to prepare for analysis is described in Appendix 2, and the synthesized dataset can be found in the table \"lhs_x_walk.\" Permitted use dates, livestock type (horse, sheep or cattle), number of livestock, and Animal Unit Months [the number of animal units (1,000-pound animal equivalents) that can be grazed for 31 days with the available forage in a sustainable manner] are the legal maximum grazing amounts for a given allotment, and legal adjustments to these numbers occur infrequently. We summarized permitted use by BLM allotment in the table \"Permitted_Use.\" Billed use records are used for calculations of permittees' annual grazing bills. We summarized billed use by allotment for BLM grazing year in the table \"Billed_Use.\" All three tables can be joined with the allotment spatial data in a geographic information system (GIS) environment, using the IDENT attribute as the primary key.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds690","usgsCitation":"Assal, T., Veblen, K., Farinha, M., Aldridge, C.L., Casazza, M.L., and Pyke, D., 2012, Data resources for range-wide assessment of livestock grazing across the sagebrush biome: U.S. Geological Survey Data Series 690, HTML Document; Downloads Directory, https://doi.org/10.3133/ds690.","productDescription":"HTML Document; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":257585,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_690.png"},{"id":257584,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/690/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fdb7e4b0c8380cd4e938","contributors":{"authors":[{"text":"Assal, T.J.","contributorId":93596,"corporation":false,"usgs":true,"family":"Assal","given":"T.J.","affiliations":[],"preferred":false,"id":464745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Veblen, K.E.","contributorId":94537,"corporation":false,"usgs":true,"family":"Veblen","given":"K.E.","email":"","affiliations":[],"preferred":false,"id":464746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farinha, M.A.","contributorId":76146,"corporation":false,"usgs":true,"family":"Farinha","given":"M.A.","affiliations":[],"preferred":false,"id":464744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":464742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":464741,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pyke, D.A.","contributorId":62713,"corporation":false,"usgs":true,"family":"Pyke","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":464743,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70004043,"text":"70004043 - 2012 - Effects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern","interactions":[],"lastModifiedDate":"2012-06-15T01:01:35","indexId":"70004043","displayToPublicDate":"2012-06-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Effects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern","docAbstract":"The influence of study design on the ability to detect the effects of landscape pattern on gene flow is one of the most pressing methodological gaps in landscape genetic research. To investigate the effect of study design on landscape genetics inference, we used a spatially-explicit, individual-based program to simulate gene flow in a spatially continuous population inhabiting a landscape with gradual spatial changes in resistance to movement. We simulated a wide range of combinations of number of loci, number of alleles per locus and number of individuals sampled from the population. We assessed how these three aspects of study design influenced the statistical power to successfully identify the generating process among competing hypotheses of isolation-by-distance, isolation-by-barrier, and isolation-by-landscape resistance using a causal modelling approach with partial Mantel tests. We modelled the statistical power to identify the generating process as a response surface for equilibrium and non-equilibrium conditions after introduction of isolation-by-landscape resistance. All three variables (loci, alleles and sampled individuals) affect the power of causal modelling, but to different degrees. Stronger partial Mantel r correlations between landscape distances and genetic distances were found when more loci were used and when loci were more variable, which makes comparisons of effect size between studies difficult. Number of individuals did not affect the accuracy through mean equilibrium partial Mantel r, but larger samples decreased the uncertainty (increasing the precision) of equilibrium partial Mantel r estimates. We conclude that amplifying more (and more variable) loci is likely to increase the power of landscape genetic inferences more than increasing number of individuals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Molecular Ecology Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1755-0998.2011.03077.x","usgsCitation":"Landguth, E.L., Gedy, B.C., Oyler-McCance, S.J., Garey, A.L., Emel, S.L., Mumma, M., Wagner, H.H., Fortin, M., and Cushman, S., 2012, Effects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern: Molecular Ecology Resources, v. 12, no. 2, p. 276-284, https://doi.org/10.1111/j.1755-0998.2011.03077.x.","productDescription":"9 p.","startPage":"276","endPage":"284","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":257600,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257589,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1755-0998.2011.03077.x","linkFileType":{"id":5,"text":"html"}}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-10-02","publicationStatus":"PW","scienceBaseUri":"505a07bce4b0c8380cd517df","contributors":{"authors":[{"text":"Landguth, Erin L.","contributorId":69002,"corporation":false,"usgs":true,"family":"Landguth","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":350292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gedy, Bradley C.","contributorId":44023,"corporation":false,"usgs":true,"family":"Gedy","given":"Bradley","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":350291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":350286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garey, Andrew L.","contributorId":74621,"corporation":false,"usgs":true,"family":"Garey","given":"Andrew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":350293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Emel, Sarah L.","contributorId":20200,"corporation":false,"usgs":true,"family":"Emel","given":"Sarah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":350288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mumma, Matthew","contributorId":102731,"corporation":false,"usgs":true,"family":"Mumma","given":"Matthew","affiliations":[],"preferred":false,"id":350294,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Helene H.","contributorId":12309,"corporation":false,"usgs":true,"family":"Wagner","given":"Helene","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":350287,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fortin, Marie-Josée","contributorId":40462,"corporation":false,"usgs":true,"family":"Fortin","given":"Marie-Josée","affiliations":[],"preferred":false,"id":350289,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cushman, Samuel A.","contributorId":41273,"corporation":false,"usgs":true,"family":"Cushman","given":"Samuel A.","affiliations":[],"preferred":false,"id":350290,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70190230,"text":"70190230 - 2012 - The role of genetics in chronic wasting disease of North American cervids","interactions":[],"lastModifiedDate":"2018-03-27T17:38:56","indexId":"70190230","displayToPublicDate":"2012-06-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3121,"text":"Prion","onlineIssn":"1933-690X","printIssn":"1933-6896","active":true,"publicationSubtype":{"id":10}},"title":"The role of genetics in chronic wasting disease of North American cervids","docAbstract":"

Chronic wasting disease (CWD) is a major concern for the management of North American cervid populations. This fatal prion disease has led to declines in populations which have high CWD prevalence and areas with both high and low infection rates have experienced economic losses in wildlife recreation and fears of potential spill-over into livestock or humans. Research from human and veterinary medicine has established that the prion protein gene (Prnp) encodes the protein responsible for transmissible spongiform encephalopathies (TSEs). Polymorphisms in the Prnp gene can lead to different prion forms that moderate individual susceptibility to and progression of TSE infection. Prnp genes have been sequenced in a number of cervid species including those currently infected by CWD (elk, mule deer, white-tailed deer, moose) and those for which susceptibility is not yet determined (caribou, fallow deer, sika deer). Over thousands of sequences examined, the Prnp gene is remarkably conserved within the family Cervidae; only 16 amino acid polymorphisms have been reported within the 256 amino acid open reading frame in the third exon of the Prnp gene. Some of these polymorphisms have been associated with lower rates of CWD infection and slower progression of clinical CWD. Here we review the body of research on Prnp genetics of North American cervids. Specifically, we focus on known polymorphisms in the Prnp gene, observed genotypic differences in CWD infection rates and clinical progression, mechanisms for genetic TSE resistance related to both the cervid host and the prion agent and potential for natural selection for CWD-resistance. We also identify gaps in our knowledge that require future research.

","language":"English","publisher":"Taylor & Francis","doi":"10.4161/pri.19640","usgsCitation":"Robinson, S.J., Samuel, M.D., O’Rourke, K., and Johnson, C.J., 2012, The role of genetics in chronic wasting disease of North American cervids: Prion, v. 6, no. 2, p. 153-162, https://doi.org/10.4161/pri.19640.","productDescription":"10 p.","startPage":"153","endPage":"162","ipdsId":"IP-033474","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474461,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4161/pri.19640","text":"Publisher Index Page"},{"id":344969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"6","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-28","publicationStatus":"PW","scienceBaseUri":"5997fc9fe4b0b589267cd225","contributors":{"authors":[{"text":"Robinson, Stacie J.","contributorId":172022,"corporation":false,"usgs":false,"family":"Robinson","given":"Stacie","email":"","middleInitial":"J.","affiliations":[{"id":12508,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin, 1710 University Ave., Room 285, Madison, WI 53726, USA","active":true,"usgs":false}],"preferred":false,"id":708037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":708034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Rourke, Katherine","contributorId":195743,"corporation":false,"usgs":false,"family":"O’Rourke","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":708036,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Johnson, Chad J.","contributorId":171369,"corporation":false,"usgs":false,"family":"Johnson","given":"Chad","email":"","middleInitial":"J.","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":708035,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70004617,"text":"70004617 - 2012 - Hybrid-optimization algorithm for the management of a conjunctive-use project and well field design","interactions":[],"lastModifiedDate":"2012-06-14T01:01:39","indexId":"70004617","displayToPublicDate":"2012-06-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Hybrid-optimization algorithm for the management of a conjunctive-use project and well field design","docAbstract":"Hi-Desert Water District (HDWD), the primary water-management agency in the Warren Groundwater Basin, California, plans to construct a waste water treatment plant to reduce future septic-tank effluent from reaching the groundwater system. The treated waste water will be reclaimed by recharging the groundwater basin via recharge ponds as part of a larger conjunctive-use strategy. HDWD wishes to identify the least-cost conjunctiveuse strategies for managing imported surface water, reclaimed water, and local groundwater. As formulated, the mixed-integer nonlinear programming (MINLP) groundwater-management problem seeks to minimize water delivery costs subject to constraints including potential locations of the new pumping wells, California State regulations, groundwater-level constraints, water-supply demand, available imported water, and pump/recharge capacities. In this study, a hybrid-optimization algorithm, which couples a genetic algorithm and successive-linear programming, is developed to solve the MINLP problem. The algorithm was tested by comparing results to the enumerative solution for a simplified version of the HDWD groundwater-management problem. The results indicate that the hybrid-optimization algorithm can identify the global optimum. The hybrid-optimization algorithm is then applied to solve a complex groundwater-management problem. Sensitivity analyses were also performed to assess the impact of varying the new recharge pond orientation, varying the mixing ratio of reclaimed water and pumped water, and varying the amount of imported water available. The developed conjunctive management model can provide HDWD water managers with information that will improve their ability to manage their surface water, reclaimed water, and groundwater resources.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1745-6584.2011.00828.x","usgsCitation":"Chiu, Y., Nishikawa, T., and Martin, P., 2012, Hybrid-optimization algorithm for the management of a conjunctive-use project and well field design: Ground Water, v. 50, no. 1, p. 103-117, https://doi.org/10.1111/j.1745-6584.2011.00828.x.","productDescription":"15 p.","startPage":"103","endPage":"117","numberOfPages":"15","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":257567,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257558,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2011.00828.x","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Warren Groundwater Basin","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-06-02","publicationStatus":"PW","scienceBaseUri":"505a32c0e4b0c8380cd5ea3f","contributors":{"authors":[{"text":"Chiu, Yung-Chia","contributorId":103134,"corporation":false,"usgs":true,"family":"Chiu","given":"Yung-Chia","email":"","affiliations":[],"preferred":false,"id":350868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nishikawa, Tracy 0000-0002-7348-3838 tnish@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":1515,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","email":"tnish@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350866,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189141,"text":"70189141 - 2012 - Scaling the Teflon Peaks: Rock type and the generation of extreme relief in the glaciated western Alaska Range","interactions":[],"lastModifiedDate":"2023-11-09T14:37:39.731463","indexId":"70189141","displayToPublicDate":"2012-06-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Scaling the Teflon Peaks: Rock type and the generation of extreme relief in the glaciated western Alaska Range","docAbstract":"

Parts of the Alaska Range (Alaska, USA) stand in prominent exception to the “glacial buzzsaw hypothesis,” which postulates that terrain raised above the ELA is rapidly denuded by glaciers. In this paper, we discuss the role of a strong contrast in rock type in the development of this exceptional terrain. Much of the range is developed on pervasively fractured flysch, with local relief of 1000–1500 m, and mean summit elevations that are similar to modern snow line elevations. In contrast, Cretaceous and Tertiary plutons of relatively intact granite support the range's tallest mountains (including Mt. McKinley, or Denali, at 6194 m), with 2500–5000 m of local relief. The high granitic peaks protrude well above modern snow lines and support many large glaciers. We focus on the plutons of the Denali massif and the Kichatna Mountains, to the west. We use field observations, satellite photos, and digital elevation data to demonstrate how exhumation of these plutons affects glacier longitudinal profiles, the glacial drainage network, and the effectiveness of periglacial processes. In strong granite, steep, smooth valley walls are maintained by detachment of rock slabs along sheeting joints. These steep walls act as low-friction surfaces (“Teflon”), efficiently shedding snow. Simple scaling calculations show that this avalanching may greatly enhance the health of the modern glaciers. We conclude that, in places such as Denali, unusual combinations of rapid tectonic uplift and great rock strength have created the highest relief in North America by enhancing glacial erosion in the valleys while preserving the peaks.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011JF002068","usgsCitation":"Ward, D.J., Anderson, R., and Haeussler, P.J., 2012, Scaling the Teflon Peaks: Rock type and the generation of extreme relief in the glaciated western Alaska Range: Journal of Geophysical Research F: Earth Surface, v. 117, no. F1, Article F01031: 20 p., https://doi.org/10.1029/2011JF002068.","productDescription":"Article F01031: 20 p.","ipdsId":"IP-030463","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":474466,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011jf002068","text":"Publisher Index Page"},{"id":343254,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Western Alaska Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -153.5,\n 62.5\n ],\n [\n -149.58,\n 61.83\n ],\n [\n -148,\n 62.99990823332931\n ],\n [\n -151.82,\n 63.89\n ],\n [\n -153.5,\n 62.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"117","issue":"F1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2012-03-22","publicationStatus":"PW","scienceBaseUri":"59576339e4b0d1f9f051b556","contributors":{"authors":[{"text":"Ward, Dylan J.","contributorId":194090,"corporation":false,"usgs":false,"family":"Ward","given":"Dylan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":703173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Robert S.","contributorId":102396,"corporation":false,"usgs":true,"family":"Anderson","given":"Robert S.","affiliations":[],"preferred":false,"id":703174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":703147,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70005559,"text":"70005559 - 2012 - Effects of sulfate ligand on uranyl carbonato surface species on ferrihydrite surfaces","interactions":[],"lastModifiedDate":"2012-06-15T01:01:35","indexId":"70005559","displayToPublicDate":"2012-06-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2222,"text":"Journal of Colloid and Interface Science","active":true,"publicationSubtype":{"id":10}},"title":"Effects of sulfate ligand on uranyl carbonato surface species on ferrihydrite surfaces","docAbstract":"Understanding uranium (U) sorption processes in permeable reactive barriers (PRB) are critical in modeling reactive transport for evaluating PRB performance at the Fry Canyon demonstration site in Utah, USA. To gain insight into the U sequestration mechanism in the amorphous ferric oxyhydroxide (AFO)-coated gravel PRB, U(VI) sorption processes on ferrihydrite surfaces were studied in 0.01 M Na2SO4 solutions to simulate the major chemical composition of U-contaminatedgroundwater (i.e., [SO42-]~13 mM L-1) at the site. Uranyl sorption was greater at pH 7.5 than that at pH 4 in both air- and 2% pCO2-equilibrated systems. While there were negligible effects of sulfate ligands on the pH-dependent U(VI) sorption (<24 h) in both systems, X-ray absorption spectroscopy (XAS) analysis showed sulfate ligand associated U(VI) surface species at the ferrihydrite–water interface. In air-equilibrated systems, binary and mono-sulfate U(VI) ternary surface species co-existed at pH 5.43. At pH 6.55–7.83, a mixture of mono-sulfate and bis-carbonato U(VI) ternary surface species became more important. At 2% pCO2, there was no contribution of sulfate ligands on the U(VI) ternary surface species. Instead, a mixture of bis-carbonato inner-sphere (38%) and tris-carbonato outer-sphere U(VI) ternary surface species (62%) was found at pH 7.62. The study suggests that the competitive ligand (bicarbonate and sulfate) coordination on U(VI) surface species might be important in evaluating the U solid-state speciation in the AFO PRB at the study site where pCO2 fluctuates between 1 and 2 pCO2%.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Colloid and Interface Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jcis.2011.09.026","usgsCitation":"Arai, Y., and Fuller, C.C., 2012, Effects of sulfate ligand on uranyl carbonato surface species on ferrihydrite surfaces: Journal of Colloid and Interface Science, v. 365, no. 1, p. 268-274, https://doi.org/10.1016/j.jcis.2011.09.026.","productDescription":"7 p.","startPage":"268","endPage":"274","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":257564,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257559,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jcis.2011.09.026","linkFileType":{"id":1,"text":"pdf"}}],"volume":"365","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a07e8e4b0c8380cd518bd","contributors":{"authors":[{"text":"Arai, Yuji","contributorId":98989,"corporation":false,"usgs":true,"family":"Arai","given":"Yuji","email":"","affiliations":[],"preferred":false,"id":352804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, C. C.","contributorId":29858,"corporation":false,"usgs":true,"family":"Fuller","given":"C.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":352803,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189963,"text":"70189963 - 2012 - Modeling thermal dynamics of active layer soils and near-surface permafrost using a fully coupled water and heat transport model","interactions":[],"lastModifiedDate":"2017-07-31T07:43:10","indexId":"70189963","displayToPublicDate":"2012-06-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Modeling thermal dynamics of active layer soils and near-surface permafrost using a fully coupled water and heat transport model","docAbstract":"

Thawing and freezing processes are key components in permafrost dynamics, and these processes play an important role in regulating the hydrological and carbon cycles in the northern high latitudes. In the present study, we apply a well-developed soil thermal model that fully couples heat and water transport, to simulate the thawing and freezing processes at daily time steps across multiple sites that vary with vegetation cover, disturbance history, and climate. The model performance was evaluated by comparing modeled and measured soil temperatures at different depths. We use the model to explore the influence of climate, fire disturbance, and topography (north- and south-facing slopes) on soil thermal dynamics. Modeled soil temperatures agree well with measured values for both boreal forest and tundra ecosystems at the site level. Combustion of organic-soil horizons during wildfire alters the surface energy balance and increases the downward heat flux through the soil profile, resulting in the warming and thawing of near-surface permafrost. A projection of 21st century permafrost dynamics indicates that as the climate warms, active layer thickness will likely increase to more than 3 meters in the boreal forest site and deeper than one meter in the tundra site. Results from this coupled heat-water modeling approach represent faster thaw rates than previously simulated in other studies. We conclude that the discussed soil thermal model is able to well simulate the permafrost dynamics and could be used as a tool to analyze the influence of climate change and wildfire disturbance on permafrost thawing.

","language":"English","doi":"10.1029/2012JD017512","usgsCitation":"Jiang, Y., Zhuang, Q., and O’Donnell, J.A., 2012, Modeling thermal dynamics of active layer soils and near-surface permafrost using a fully coupled water and heat transport model: Journal of Geophysical Research D: Atmospheres, v. 117, D11110: 15 p., https://doi.org/10.1029/2012JD017512.","productDescription":"D11110: 15 p.","ipdsId":"IP-036930","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-06-08","publicationStatus":"PW","scienceBaseUri":"5980419ee4b0a38ca278937e","contributors":{"authors":[{"text":"Jiang, Yueyang","contributorId":195377,"corporation":false,"usgs":false,"family":"Jiang","given":"Yueyang","email":"","affiliations":[],"preferred":false,"id":706906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhuang, Qianlai","contributorId":101975,"corporation":false,"usgs":true,"family":"Zhuang","given":"Qianlai","affiliations":[],"preferred":false,"id":706947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706905,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70003673,"text":"70003673 - 2012 - Anisotropic models to account for large borehole washouts to estimate gas hydrate saturations in the Gulf of Mexico Gas Hydrate Joint Industry Project Leg II Alaminos 21 B well","interactions":[],"lastModifiedDate":"2012-06-14T01:01:39","indexId":"70003673","displayToPublicDate":"2012-06-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Anisotropic models to account for large borehole washouts to estimate gas hydrate saturations in the Gulf of Mexico Gas Hydrate Joint Industry Project Leg II Alaminos 21 B well","docAbstract":"Through the use of 3-D seismic amplitude mapping, several gashydrate prospects were identified in the Alaminos Canyon (AC) area of the Gulf of Mexico. Two locations were drilled as part of the Gulf of MexicoGasHydrate Joint Industry Project Leg II (JIP Leg II) in May of 2009 and a comprehensive set of logging-while-drilling (LWD) logs were acquired at each well site. LWD logs indicated that resistivity in the range of ~2 ohm-m and P-wave velocity in the range of ~1.9 km/s were measured in the target sand interval between 515 and 645 feet below sea floor. These values were slightly elevated relative to those measured in the sediment above and below the target sand. However, the initial well log analysis was inconclusive regarding the presence of gashydrate in the logged sand interval, mainly because largewashouts caused by drilling in the target interval degraded confidence in the well log measurements. To assess gashydratesaturations in the sedimentary section drilled in the Alaminos Canyon 21B (AC21-B) well, a method of compensating for the effect of washouts on the resistivity and acoustic velocities was developed. The proposed method models the washed-out portion of the borehole as a vertical layer filled with sea water (drilling fluid) and the apparent anisotropic resistivity and velocities caused by a vertical layer are used to correct the measured log values. By incorporating the conventional marine seismic data into the well log analysis, the average gashydratesaturation in the target sand section in the AC21-Bwell can be constrained to the range of 8–28%, with 20% being our best estimate.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine and Petroleum Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.marpetgeo.2011.06.010","usgsCitation":"Lee, M.W., Collett, T.S., and Lewis, K., 2012, Anisotropic models to account for large borehole washouts to estimate gas hydrate saturations in the Gulf of Mexico Gas Hydrate Joint Industry Project Leg II Alaminos 21 B well: Marine and Petroleum Geology, v. 34, no. 1, p. 85-95, https://doi.org/10.1016/j.marpetgeo.2011.06.010.","productDescription":"11 p.","startPage":"85","endPage":"95","numberOfPages":"33","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":257565,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257560,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2011.06.010","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Gulf Of Mexico;Alaminos Canyon","volume":"34","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ebffe4b0c8380cd49016","contributors":{"authors":[{"text":"Lee, Myung W.","contributorId":84358,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","middleInitial":"W.","affiliations":[],"preferred":false,"id":348272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, T. S. 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":86342,"corporation":false,"usgs":true,"family":"Collett","given":"T.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":348273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, K.A. 0000-0003-4991-3399","orcid":"https://orcid.org/0000-0003-4991-3399","contributorId":108350,"corporation":false,"usgs":true,"family":"Lewis","given":"K.A.","affiliations":[],"preferred":false,"id":348274,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038696,"text":"ofr20101253 - 2012 - Reformatted data sets used in the Cooperative LACSD/USGS Palos Verdes Flow Study, 2000--2008","interactions":[],"lastModifiedDate":"2012-06-14T01:01:39","indexId":"ofr20101253","displayToPublicDate":"2012-06-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1253","title":"Reformatted data sets used in the Cooperative LACSD/USGS Palos Verdes Flow Study, 2000--2008","docAbstract":"Beginning in 1997, the Environmental Protection Agency (EPA) defined a contaminated section of the Palos Verdes shelf in southern California as a Superfund site, initiating a continuing investigation of this area. A number of agencies, including the EPA, U.S. Geological Survey (USGS), and Science Applications International Corporation (SAIC), conducted two oceanographic measurement programs in 2004 and 2007-2008 (SAIC, 2004, 2005; Rosenberger and others, 2010; Sherwood and others, unpublished data) to improve our understanding of the natural processes that resuspend and transport sediment in the area, especially in the region southeast of the Whites Point ocean outfall where earlier measurements were thought to be deficient. Los Angeles County Sanitation Districts (LACSD) deployed a simpler but much broader array of instruments on the Palos Verdes shelf and within the northern reaches of San Pedro Bay from 2000 to 2008 in order to characterize the current and temperature patterns within these regions. This program overlapped the two programs run by USGS and other agencies in 2004 and 2007. The LACSD data were made available to the USGS and the EPA in order to support their joint efforts to model the transport of the contaminated sediments in the region. This report describes the LACSD data sets, the instruments and data-processing procedures used, and the archive that contains the data sets that have passed our quality-assurance procedures.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101253","usgsCitation":"Anderson, T., Rosenberger, K., and Gartner, A.L., 2012, Reformatted data sets used in the Cooperative LACSD/USGS Palos Verdes Flow Study, 2000--2008: U.S. Geological Survey Open-File Report 2010-1253, iv, 24 p.; Appendices, https://doi.org/10.3133/ofr20101253.","productDescription":"iv, 24 p.; Appendices","startPage":"i","endPage":"45","numberOfPages":"49","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2000-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":257542,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1253.gif"},{"id":257540,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1253/","linkFileType":{"id":5,"text":"html"}},{"id":257541,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1253/of2010-1253.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","county":"Los Angeles County","otherGeospatial":"Palos Verdes Shelf;San Pedro Bay","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a447e4b0e8fec6cdbb05","contributors":{"authors":[{"text":"Anderson, Todd","contributorId":19017,"corporation":false,"usgs":true,"family":"Anderson","given":"Todd","affiliations":[],"preferred":false,"id":464715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Kurt J.","contributorId":12934,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt J.","affiliations":[],"preferred":false,"id":464714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gartner, Anne L.","contributorId":32620,"corporation":false,"usgs":true,"family":"Gartner","given":"Anne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":464716,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210605,"text":"70210605 - 2012 - Playa-lake sedimentation and organic matter accumulation in an Andean piggyback basin: The recent record from the Cuenca de Pozuelos, NW Argentina","interactions":[],"lastModifiedDate":"2020-06-15T14:29:35.552641","indexId":"70210605","displayToPublicDate":"2012-06-12T12:16:37","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3369,"text":"Sedimentology","active":true,"publicationSubtype":{"id":10}},"title":"Playa-lake sedimentation and organic matter accumulation in an Andean piggyback basin: The recent record from the Cuenca de Pozuelos, NW Argentina","docAbstract":"

Expansive playa‐lake systems situated in high‐altitude piggyback basins are important and conspicuous components of both modern and ancient cordilleran orogenic systems. Extant playa lakes provide vital habitat for numerous endemic species, whereas sediments from these deposystems may record signals of climate change or develop natural resources over geological time. Laguna de los Pozuelos (North‐west Argentina) provides the opportunity for an actualistic sedimentological and geochemical assessment of a piggyback basin playa lake in an area of critical interest for understanding Quaternary palaeoclimate dynamics. Silty clays and diatom ooze are the dominant playa‐lake centre microfacies, with concentrations of total organic carbon and biogenic silica commonly exceeding 1·5 wt% in this sub‐environment. Elemental and stable isotopic analyses point to a mixed organic matter composition in the playa‐lake centre, with substantial contributions from algae and transported aquatic macrophytes. Bulk sediment and organic mass accumulation rates in the southern playa‐lake centre approach 0.22g cm−2 year−1 and 2.89 mg cm−2 year−1, respectively, indicating moderately rapid deposition with negligible deflation over historic time. Playa margin facies contain higher percentages of fragmented biogenic carbonate (ostracods and charophytes) and inorganically precipitated aragonite crusts due to seasonal pumping and evaporation of ground water. Organic matter accumulation is limited along these heavily bioturbated wet and dry mud flats. Fluvial–lacustrine transitional environments, which are key waterbird habitats, are either silty terminal splay (northern axis) or sandy deltas (southern axis) containing highly oxidized and partially allochthonous organic matter. Modern analogue data from Laguna de los Pozuelos provide key insights for: (i) environmental reconstructions of ancient lake sequences; and (ii) improving facies models for piggyback basins.

","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-3091.2011.01304.x","usgsCitation":"McGlue, M., Ellis, G., Cohen, A., and Swarzenski, P., 2012, Playa-lake sedimentation and organic matter accumulation in an Andean piggyback basin: The recent record from the Cuenca de Pozuelos, NW Argentina: Sedimentology, v. 59, no. 4, p. 1237-1256, https://doi.org/10.1111/j.1365-3091.2011.01304.x.","productDescription":"20 p.","startPage":"1237","endPage":"1256","ipdsId":"IP-021887","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":375531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina","otherGeospatial":"Cuenca de Pozuelos","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.59912109375,\n -23.079731762449878\n ],\n [\n -65.41259765625,\n -23.079731762449878\n ],\n [\n -65.41259765625,\n -21.917567172190736\n ],\n [\n -66.59912109375,\n -21.917567172190736\n ],\n [\n -66.59912109375,\n -23.079731762449878\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"McGlue, Michael M.","contributorId":225229,"corporation":false,"usgs":false,"family":"McGlue","given":"Michael M.","affiliations":[{"id":41081,"text":"Department of Geosciences, The University of Arizona, Tucson AZ","active":true,"usgs":false}],"preferred":false,"id":790789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S 0000-0003-4519-3320","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":225228,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey S","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":790788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohen, Andrew S.","contributorId":225230,"corporation":false,"usgs":false,"family":"Cohen","given":"Andrew S.","affiliations":[{"id":41081,"text":"Department of Geosciences, The University of Arizona, Tucson AZ","active":true,"usgs":false}],"preferred":false,"id":790790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swarzenski, Peter W 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":225227,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter W","affiliations":[],"preferred":true,"id":790787,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70038477,"text":"70038477 - 2012 - Aftershock seismicity of the 2010 Maule Mw=8.8 Chile, earthquake: Correlation between co-seismic slip models and aftershock distribution?","interactions":[],"lastModifiedDate":"2012-06-13T01:01:48","indexId":"70038477","displayToPublicDate":"2012-06-12T11:50:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Aftershock seismicity of the 2010 Maule Mw=8.8 Chile, earthquake: Correlation between co-seismic slip models and aftershock distribution?","docAbstract":"The 27 February 2010 Maule, Chile (Mw=8.8) earthquake is one of the best instrumentally observed subduction zone megathrust events. Here we present locations, magnitudes and cumulative equivalent moment of the first -2 months of aftershocks, recorded on a temporary network deployed within 2 weeks of the occurrence of the mainshock. Using automatically-determined onset times and a back projection approach for event association, we are able to detect over 30,000 events in the time period analyzed. To further increase the location accuracy, we systematically searched for potential S-wave arrivals and events were located in a regional 2D velocity model. Additionally, we calculated regional moment tensors to gain insight into the deformation history of the aftershock sequence. We find that the aftershock seismicity is concentrated between 40 and 140 km distance from the trench over a depth range of 10 to 35 km. Focal mechanisms indicate a predominance of thrust faulting, with occasional normal faulting events. Increased activity is seen in the outer-rise region of the Nazca plate, predominantly in the northern part of the rupture area. Further down-dip, a second band of clustered seismicity, showing mainly thrust motion, is located at depths of 40–45 km. By comparing recent published mainshock source inversions with our aftershock distribution, we discriminate slip models based on the assumption that aftershocks occur in areas of rapid transition between high and low slip, surrounding high-slip regions of the mainshock.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012GL051308","usgsCitation":"Rietbrock, A., Ryder, I., Hayes, G., Haberland, C., Comte, D., and Roecker, S., 2012, Aftershock seismicity of the 2010 Maule Mw=8.8 Chile, earthquake: Correlation between co-seismic slip models and aftershock distribution?: Geophysical Research Letters, v. 39, 5 p.; L08310, https://doi.org/10.1029/2012GL051308.","productDescription":"5 p.; L08310","temporalStart":"2010-02-27","temporalEnd":"2010-02-27","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474467,"rank":201,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-02057777","text":"External Repository"},{"id":257518,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257498,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1029/2012GL051308","linkFileType":{"id":5,"text":"html"}}],"country":"Chile","volume":"39","noUsgsAuthors":false,"publicationDate":"2012-04-28","publicationStatus":"PW","scienceBaseUri":"5059e8d2e4b0c8380cd47ec5","contributors":{"authors":[{"text":"Rietbrock, A.","contributorId":71826,"corporation":false,"usgs":true,"family":"Rietbrock","given":"A.","affiliations":[],"preferred":false,"id":464335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryder, I.","contributorId":11422,"corporation":false,"usgs":true,"family":"Ryder","given":"I.","email":"","affiliations":[],"preferred":false,"id":464332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, G.","contributorId":81349,"corporation":false,"usgs":true,"family":"Hayes","given":"G.","affiliations":[],"preferred":false,"id":464336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haberland, C.","contributorId":16210,"corporation":false,"usgs":true,"family":"Haberland","given":"C.","affiliations":[],"preferred":false,"id":464333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Comte, D.","contributorId":52447,"corporation":false,"usgs":true,"family":"Comte","given":"D.","email":"","affiliations":[],"preferred":false,"id":464334,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roecker, S.","contributorId":10173,"corporation":false,"usgs":true,"family":"Roecker","given":"S.","email":"","affiliations":[],"preferred":false,"id":464331,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}