{"pageNumber":"1923","pageRowStart":"48050","pageSize":"25","recordCount":184606,"records":[{"id":70148184,"text":"70148184 - 2010 - Effects of an exotic prey species on a native specialist: Example of the snail kite","interactions":[],"lastModifiedDate":"2021-03-17T13:21:20.6652","indexId":"70148184","displayToPublicDate":"2010-02-01T11:45:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Effects of an exotic prey species on a native specialist: Example of the snail kite","docAbstract":"

Despite acknowledging that exotic species can exhibit tremendous influence over native populations, few case studies have clearly demonstrated the effects of exotic prey species on native predators. We examined the effects of the recently introduced island apple snail (Pomacea insularum) on the foraging behavior and energetics of the endangered snail kite (Rostrhamus sociabilis plumbeus) in Florida. We conducted time-activity budgets: (i) on kites foraging for native Florida apple snails (Pomacea paludosa) in major wetland units within the kites’ range that had not been invaded by the exotic island apple snail and (ii) on kites foraging for exotic apple snails in Lake Tohopekaliga, the only major wetland utilized by the snail kite that had suffered a serious invasion of P. insularum. When foraging for P. insularum, snail kites dropped a greater proportion of snails, and they experienced increased handling times and decreased consumption rates; however, kites foraging for P. insularum also spent a smaller proportion of the day in flight. Estimates of net daily energy balances between kites feeding on P. insularum versus P. paludosa were comparable for adults, but juveniles experienced energetic deficiencies when feeding on the exotic snail. Due to this discrepancy, we hypothesize that wetlands invaded by P. insularum, such as Lake Tohopekaliga, may function as ecological traps for the snail kite in Florida by attracting breeding adults but simultaneously depressing juvenile survival. This study highlights the conservation implications and importance of elucidating the effects that exotic species have on native specialists, especially those that are endangered, because subtle influences on behavior may have significant population consequences.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2009.11.022","usgsCitation":"Cattau, C.E., Martin, J., and Kitchens, W.M., 2010, Effects of an exotic prey species on a native specialist: Example of the snail kite: Biological Conservation, v. 143, no. 2, p. 513-520, https://doi.org/10.1016/j.biocon.2009.11.022.","productDescription":"8 p.","startPage":"513","endPage":"520","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011396","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5565993ae4b0d9246a9eb619","contributors":{"authors":[{"text":"Cattau, Christopher E.","contributorId":54406,"corporation":false,"usgs":true,"family":"Cattau","given":"Christopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":547596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, J.","contributorId":18871,"corporation":false,"usgs":true,"family":"Martin","given":"J.","affiliations":[],"preferred":false,"id":547597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kitchens, Wiley M. kitchensw@usgs.gov","contributorId":2851,"corporation":false,"usgs":true,"family":"Kitchens","given":"Wiley","email":"kitchensw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":547543,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70118920,"text":"70118920 - 2010 - Persistent organic pollutants in fish tissue in the mid-continental great rivers of the United States","interactions":[],"lastModifiedDate":"2014-07-31T10:26:35","indexId":"70118920","displayToPublicDate":"2010-02-01T10:25:09","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Persistent organic pollutants in fish tissue in the mid-continental great rivers of the United States","docAbstract":"Great rivers of the central United States (Upper Mississippi, Missouri, and Ohio rivers) are valuable economic and cultural resources, yet until recently their ecological condition has not been well quantified. In 2004–2005, as part of the Environmental Monitoring and Assessment Program for Great River Ecosystems (EMAP-GRE), we measured legacy organochlorines (OCs) (pesticides and polychlorinated biphenyls, PCBs) and emerging compounds (polybrominated diphenyl ethers, PBDEs) in whole fish to estimate human and wildlife exposure risks from fish consumption. PCBs, PBDEs, chlordane, dieldrin and dichlorodiphenyltrichloroethane (DDT) were detected in most samples across all rivers, and hexachlorobenzene was detected in most Ohio River samples. Concentrations were highest in the Ohio River, followed by the Mississippi and Missouri Rivers, respectively. Dieldrin and PCBs posed the greatest risk to humans. Their concentrations exceeded human screening values for cancer risk in 27–54% and 16–98% of river km, respectively. Chlordane exceeded wildlife risk values for kingfisher in 11–96% of river km. PBDE concentrations were highest in large fish in the Missouri and Ohio Rivers (mean > 1000 ng g−1 lipid), with congener 47 most prevalent. OC and PBDE concentrations were positively related to fish size, lipid content, trophic guild, and proximity to urban areas. Contamination of fishes by OCs is widespread among great rivers, although exposure risks appear to be more localized and limited in scope. As an indicator of ecological condition, fish tissue contamination contributes to the overall assessment of great river ecosystems in the U.S.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier Pub","publisherLocation":"Amsterdam","doi":"10.1016/j.scitotenv.2009.11.040","usgsCitation":"Blacksom, K.A., Walters, D., Jicha, T.M., Lazorchak, J.M., Angradi, T.R., and Bolgrien, D.W., 2010, Persistent organic pollutants in fish tissue in the mid-continental great rivers of the United States: Science of the Total Environment, v. 408, no. 5, p. 1180-1189, https://doi.org/10.1016/j.scitotenv.2009.11.040.","productDescription":"10 p.","startPage":"1180","endPage":"1189","numberOfPages":"10","costCenters":[],"links":[{"id":291473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291472,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2009.11.040"}],"volume":"408","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53db5848e4b0fba533fa3595","contributors":{"authors":[{"text":"Blacksom, Karen A.","contributorId":11966,"corporation":false,"usgs":true,"family":"Blacksom","given":"Karen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":497484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, David M.","contributorId":76590,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","affiliations":[],"preferred":false,"id":497487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jicha, Terri M.","contributorId":14311,"corporation":false,"usgs":true,"family":"Jicha","given":"Terri","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":497485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lazorchak, James M.","contributorId":14750,"corporation":false,"usgs":true,"family":"Lazorchak","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":497486,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angradi, Theodore R.","contributorId":86701,"corporation":false,"usgs":true,"family":"Angradi","given":"Theodore","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":497488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bolgrien, David W.","contributorId":97017,"corporation":false,"usgs":true,"family":"Bolgrien","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":497489,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198312,"text":"70198312 - 2010 - Rheologic and structural controls on the deformation of Okmok volcano, Alaska: FEMs, InSAR, and ambient noise tomography","interactions":[],"lastModifiedDate":"2018-07-31T09:39:05","indexId":"70198312","displayToPublicDate":"2010-02-01T09:06:01","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"subseriesTitle":"Geodesy and Gravity/Tectonophysics","title":"Rheologic and structural controls on the deformation of Okmok volcano, Alaska: FEMs, InSAR, and ambient noise tomography","docAbstract":"

Interferometric synthetic aperture radar (InSAR) data indicate that the caldera of Okmok volcano, Alaska, subsided more than a meter during its eruption in 1997. The large deformation suggests a relatively shallow magma reservoir beneath Okmok. Seismic tomography using ambient ocean noise reveals two low‐velocity zones (LVZs). The shallow LVZ corresponds to a region of weak, fluid‐saturated materials within the caldera and extends from the caldera surface to a depth of 2 km. The deep LVZ clearly indicates the presence of the magma reservoir beneath Okmok that is significantly deeper (>4 km depth) compared to previous geodetic‐based estimates (3 km depth). The deep LVZ associated with the magma reservoir suggests magma remains in a molten state between eruptions. We construct finite element models (FEMs) to simulate deformation caused by mass extraction from a magma reservoir that is surrounded by a viscoelastic rind of country rock embedded in an elastic domain that is partitioned to account for the weak caldera materials observed with tomography. This configuration allows us to reduce the estimated magma reservoir depressurization to within lithostatic constraints, while simultaneously maintaining the magnitude of deformation required to predict the InSAR data. More precisely, the InSAR data are best predicted by an FEM simulating a rind viscosity of 7.5 × 1016 Pa s and a mass flux of −4.2 × 109 kg/d from the magma reservoir. The shallow weak layer within the caldera provides a coeruption stress regime and neutral buoyancy horizon that support lateral magma propagation from the central magma reservoir to extrusion near the rim of the caldera.

","language":"English","publisher":"AGU","doi":"10.1029/2009JB006324","usgsCitation":"Masterlark, T., Haney, M.M., Dickinson, H., Searcy, C., and Fournier, T., 2010, Rheologic and structural controls on the deformation of Okmok volcano, Alaska: FEMs, InSAR, and ambient noise tomography: Journal of Geophysical Research B: Solid Earth, v. 115, no. B2, B02409; 22 p., https://doi.org/10.1029/2009JB006324.","productDescription":"B02409; 22 p.","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":356043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska ","otherGeospatial":"Umnak Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -167.7886962890625,\n 53.52071674896369\n ],\n [\n -167.783203125,\n 53.491313790532956\n ],\n [\n -167.85736083984375,\n 53.43899149184267\n ],\n [\n -167.83538818359375,\n 53.409531853086435\n ],\n [\n -167.83538818359375,\n 53.375136469342564\n ],\n [\n -167.904052734375,\n 53.35219076980275\n ],\n [\n -167.9974365234375,\n 53.322670996353274\n ],\n [\n -168.11279296874997,\n 53.28163740806336\n ],\n [\n 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mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":740991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickinson, Haylee","contributorId":206545,"corporation":false,"usgs":false,"family":"Dickinson","given":"Haylee","email":"","affiliations":[],"preferred":false,"id":740992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Searcy, Cheryl 0000-0002-9474-5745 csearcy@usgs.gov","orcid":"https://orcid.org/0000-0002-9474-5745","contributorId":4039,"corporation":false,"usgs":true,"family":"Searcy","given":"Cheryl","email":"csearcy@usgs.gov","affiliations":[],"preferred":true,"id":740993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fournier, T.","contributorId":78964,"corporation":false,"usgs":true,"family":"Fournier","given":"T.","email":"","affiliations":[],"preferred":false,"id":740994,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202554,"text":"70202554 - 2010 - Consumption of baits containing raccoon pox-based plague vaccines protects black-tailed prairie dogs (Cynomys ludovicianus)","interactions":[],"lastModifiedDate":"2019-03-11T14:17:11","indexId":"70202554","displayToPublicDate":"2010-02-01T08:44:29","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Consumption of baits containing raccoon pox-based plague vaccines protects black-tailed prairie dogs (Cynomys ludovicianus)","title":"Consumption of baits containing raccoon pox-based plague vaccines protects black-tailed prairie dogs (Cynomys ludovicianus)","docAbstract":"

Baits containing recombinant raccoon poxvirus (RCN) expressing plague antigens (fraction 1 [F1] and a truncated form of the V protein-V307) were offered for voluntary consumption several times over the course of several months to a group of 16 black-tailed prairie dogs (Cynomys ludovicianus). For comparison, another group of prairie dogs (n = 12) was injected subcutaneously (SC) (prime and boost) with 40 μg of F1-V fusion protein absorbed to alum, a vaccine-adjuvant combination demonstrated to elicit immunity to plague in mice and other mammals. Control animals received baits containing RCN without the inserted antigen (n = 8) or injected diluent (n = 7), and as there was no difference in their survival rates by Kaplan–Meier analysis, all of them were combined into one group in the final analysis. Mean antibody titers to Yersinia pestis F1 and V antigen increased (p < 0.05) in the vaccinated groups compared to controls, but titers were significantly higher (p < 0.0001) in those receiving injections of F1-V fusion protein than in those orally vaccinated with RCN-based vaccine. Interestingly, upon challenge with approximately 70,000 cfu of virulent Y. pestis, oral vaccination resulted in survival rates that were significantly higher (p = 0.025) than the group vaccinated by injection with F1-V fusion protein and substantially higher (p < 0.0001) than the control group. These results demonstrate that oral vaccination of prairie dogs using RCN-based plague vaccines provides significant protection against challenge at dosages that simulate simultaneous delivery of the plague bacterium by numerous flea bites.

","language":"English","publisher":"Mary Ann Liebert, Inc.","doi":"10.1089/vbz.2009.0050","usgsCitation":"Rocke, T.E., Pussini, N., Smith, S., Williamson, J.L., Powell, B., and Osorio, J.E., 2010, Consumption of baits containing raccoon pox-based plague vaccines protects black-tailed prairie dogs (Cynomys ludovicianus): Vector-Borne and Zoonotic Diseases, v. 10, no. 1, p. 51-58, https://doi.org/10.1089/vbz.2009.0050.","productDescription":"8 p.","startPage":"51","endPage":"58","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":361912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":759087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pussini, Nicola","contributorId":85889,"corporation":false,"usgs":true,"family":"Pussini","given":"Nicola","email":"","affiliations":[],"preferred":false,"id":759088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Susan 0000-0001-6478-5028 susansmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6478-5028","contributorId":139497,"corporation":false,"usgs":true,"family":"Smith","given":"Susan","email":"susansmith@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":759089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williamson, Judy L. 0000-0001-7110-1632 jwilliamson@usgs.gov","orcid":"https://orcid.org/0000-0001-7110-1632","contributorId":3647,"corporation":false,"usgs":true,"family":"Williamson","given":"Judy","email":"jwilliamson@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":759090,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powell, Bradford","contributorId":7410,"corporation":false,"usgs":true,"family":"Powell","given":"Bradford","email":"","affiliations":[],"preferred":false,"id":759091,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osorio, Jorge E.","contributorId":174759,"corporation":false,"usgs":false,"family":"Osorio","given":"Jorge","email":"","middleInitial":"E.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":759092,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198309,"text":"70198309 - 2010 - Book Review: Geological fluid dynamics: Sub-surface flow and reactions ","interactions":[],"lastModifiedDate":"2018-07-31T09:35:19","indexId":"70198309","displayToPublicDate":"2010-02-01T08:41:02","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":732,"text":"American Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Book Review: Geological fluid dynamics: Sub-surface flow and reactions ","docAbstract":"

No abstract available 

","language":"English","publisher":"American Journal of Science ","doi":"10.2475/02.2010.04","usgsCitation":"Ingebritsen, S.E., 2010, Book Review: Geological fluid dynamics: Sub-surface flow and reactions : American Journal of Science, v. 310, no. 2, p. 128-129, https://doi.org/10.2475/02.2010.04.","productDescription":"2 p.","startPage":"128","endPage":"129","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":356040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"310","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-03-29","publicationStatus":"PW","scienceBaseUri":"5b98b7cae4b0702d0e844f50","contributors":{"authors":[{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":740984,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70155090,"text":"70155090 - 2010 - Hydraulic modeling of mussel habitat at a bridge-replacement site, Allegheny River, Pennsylvania, USA","interactions":[],"lastModifiedDate":"2015-07-29T11:45:17","indexId":"70155090","displayToPublicDate":"2010-02-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Hydraulic modeling of mussel habitat at a bridge-replacement site, Allegheny River, Pennsylvania, USA","docAbstract":"

The Allegheny River in Pennsylvania supports a large and diverse freshwater-mussel community, including two federally listed endangered species, Pleurobema clava(Clubshell) and Epioblasma torulosa rangiana (Northern Riffleshell). It is recognized that river hydraulics and morphology play important roles in mussel distribution. To assess the hydraulic influences of bridge replacement on mussel habitat, metrics such as depth, velocity, and their derivatives (shear stress, Froude number) were collected or computed.

\n

The objectives of the project were to evaluate mussel and hydraulic data at a reference site and to compare those findings to a bridge-replacement site. The findings were used to support a statistical analysis, which establishes correlations between mussel count and hydraulics, and a numerical model to forecast habitat based on the statistics.

\n

ArcGIS was selected to manage the data and generate a grid to compute area statistics for 3319, 4.9-m × 4.9-m cells (cell) for total mussel count, depth, velocity, shear stress, and Froude number. The Wilcoxon Rank Sum test indicated no statistical significance between the total mussel count and the hydraulic variables; however, trellis graphs were used to account for the spatial variability in the data set. For the flow conditions measured, the total mussel count per cell is greatest at sections where (1) velocities range from 0.061 to 0.21 m/s, (2) shear stresses range from 0.48 to 3.8 dyne/cm2, and (3) Froude numbers range from 0.006 to 0.04.

\n

Based on the statistical targets established, the hydraulic model results suggest that an additional 2428 m2 or a 30-percent increase in suitable mussel habitat could be generated at the replacement-bridge site when compared to the baseline condition associated with the existing bridge at that same location. The study did not address the influences of substrate, acid mine drainage, sediment loads from tributaries, and surface-water/ground-water exchange on mussel habitat. Future studies could include methods for quantifying (1) channel–substrate composition and distribution using tools such as hydroacoustic echosounders specifically designed and calibrated to identify bed composition and mussel populations, (2) surface-water and ground-water interactions, and (3) a high-streamflow event.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2009.10.019","usgsCitation":"Fulton, J.W., Wagner, C., Rogers, M.E., and Zimmerman, G.F., 2010, Hydraulic modeling of mussel habitat at a bridge-replacement site, Allegheny River, Pennsylvania, USA: Ecological Modelling, v. 221, no. 3, p. 540-554, https://doi.org/10.1016/j.ecolmodel.2009.10.019.","productDescription":"15 p.","startPage":"540","endPage":"554","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-004383","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":306228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","city":"East Brady, Foxburg","otherGeospatial":"Allegheny River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.68847274780273,\n 41.125530139647516\n ],\n [\n -79.68847274780273,\n 41.14628070081167\n ],\n [\n -79.67465400695801,\n 41.14628070081167\n ],\n [\n -79.67465400695801,\n 41.125530139647516\n ],\n [\n -79.68847274780273,\n 41.125530139647516\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.61852073669434,\n 40.98705774892777\n ],\n [\n -79.61852073669434,\n 40.993180115976074\n ],\n [\n -79.61195468902588,\n 40.993180115976074\n ],\n [\n -79.61195468902588,\n 40.98705774892777\n ],\n [\n -79.61852073669434,\n 40.98705774892777\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"221","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b98fbee4b08f6647be5179","contributors":{"authors":[{"text":"Fulton, John W. 0000-0002-5335-0720 jwfulton@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":2298,"corporation":false,"usgs":true,"family":"Fulton","given":"John","email":"jwfulton@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":false,"id":564790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, Megan E. mrogers@usgs.gov","contributorId":2300,"corporation":false,"usgs":true,"family":"Rogers","given":"Megan","email":"mrogers@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":564792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Gregory F.","contributorId":145619,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Gregory","email":"","middleInitial":"F.","affiliations":[{"id":16176,"text":"EnviroScience, Inc.","active":true,"usgs":false}],"preferred":false,"id":564793,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043287,"text":"70043287 - 2010 - A Comparative Analysis of three different MODIS NDVI data sets for Alaska and adjacent Canada","interactions":[],"lastModifiedDate":"2013-02-14T11:42:40","indexId":"70043287","displayToPublicDate":"2010-02-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1175,"text":"Canadian Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A Comparative Analysis of three different MODIS NDVI data sets for Alaska and adjacent Canada","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Canadian Remote Sensing Society","doi":"10.5589/m10-015","usgsCitation":"Ji, L., Wylie, B.K., Ramachandran, B., and Jenkerson, C.B., 2010, A Comparative Analysis of three different MODIS NDVI data sets for Alaska and adjacent Canada: Canadian Journal of Remote Sensing, v. 36, no. S1, p. S149-S167, https://doi.org/10.5589/m10-015.","startPage":"S149","endPage":"S167","ipdsId":"IP-013899","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":267379,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5589/m10-015"},{"id":267380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"36","issue":"S1","noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"511e1572e4b071e86a19a417","contributors":{"authors":[{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramachandran, Bhaskar bhaskar@usgs.gov","contributorId":3334,"corporation":false,"usgs":true,"family":"Ramachandran","given":"Bhaskar","email":"bhaskar@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkerson, Calli B. 0000-0002-3780-9175 jenkerson@usgs.gov","orcid":"https://orcid.org/0000-0002-3780-9175","contributorId":469,"corporation":false,"usgs":true,"family":"Jenkerson","given":"Calli","email":"jenkerson@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473286,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194388,"text":"70194388 - 2010 - Symposium on the ecology of plague and its effects on wildlife: A model for translational research","interactions":[],"lastModifiedDate":"2021-03-29T14:51:26.145846","indexId":"70194388","displayToPublicDate":"2010-02-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Symposium on the ecology of plague and its effects on wildlife: A model for translational research","docAbstract":"

No abstract available.

","language":"English","publisher":"Mary Ann Liebert, Inc. Publishers","doi":"10.1089/vbz.2009.2010.pl.intro","usgsCitation":"Antolin, M.F., Biggins, D.E., and Gober, P., 2010, Symposium on the ecology of plague and its effects on wildlife: A model for translational research: Vector-Borne and Zoonotic Diseases, v. 10, no. 1, p. 3-5, https://doi.org/10.1089/vbz.2009.2010.pl.intro.","productDescription":"3 p.","startPage":"3","endPage":"5","ipdsId":"IP-016066","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":349381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610acce4b06e28e9c256d7","contributors":{"authors":[{"text":"Antolin, Michael F.","contributorId":85469,"corporation":false,"usgs":false,"family":"Antolin","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":723650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":723651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gober, Pete","contributorId":120750,"corporation":false,"usgs":true,"family":"Gober","given":"Pete","email":"","affiliations":[],"preferred":false,"id":723652,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042309,"text":"70042309 - 2010 - Localized damage associated with topographic amplification during the 12 January 2010 M 7.0 Haiti earthquake","interactions":[],"lastModifiedDate":"2021-03-25T19:22:33.088331","indexId":"70042309","displayToPublicDate":"2010-02-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Localized damage associated with topographic amplification during the 12 January 2010 M 7.0 Haiti earthquake","title":"Localized damage associated with topographic amplification during the 12 January 2010 M 7.0 Haiti earthquake","docAbstract":"

Local geological conditions, including both near-surface sedimentary layers1,2,3,4 and topographic features5,6,7,8,9, are known to significantly influence ground motions caused by earthquakes. Microzonation maps use local geological conditions to characterize seismic hazard, but commonly incorporate the effect of only sedimentary layers10,11,12. Microzonation does not take into account local topography, because significant topographic amplification is assumed to be rare. Here we show that, although the extent of structural damage in the 2010 Haiti earthquake was primarily due to poor construction, topographic amplification contributed significantly to damage in the district of Petionville, south of central Port-au-Prince. A large number of substantial, relatively well-built structures situated along a foothill ridge in this district sustained serious damage or collapse. Using recordings of aftershocks, we calculate the ground motion response at two seismic stations along the topographic ridge and at two stations in the adjacent valley. Ground motions on the ridge are amplified relative to both sites in the valley and a hard-rock reference site, and thus cannot be explained by sediment-induced amplification. Instead, the amplitude and predominant frequencies of ground motion indicate the amplification of seismic waves by a narrow, steep ridge. We suggest that microzonation maps can potentially be significantly improved by incorporation of topographic effects.

","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ngeo988","usgsCitation":"Hough, S.E., Altidor, J.R., Anglade, D., Given, D., Given, D., Janvier, M.G., Maharrey, J.Z., Meremonte, M.E., Mildor, B.S., Prepetit, C., and Yong, A.K., 2010, Localized damage associated with topographic amplification during the 12 January 2010 M 7.0 Haiti earthquake: Nature Geoscience, v. 3, p. 778-782, https://doi.org/10.1038/ngeo988.","productDescription":"5 p.","startPage":"778","endPage":"782","ipdsId":"IP-022292","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":267405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Haiti","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-73.18979,19.91568],[-72.57967,19.8715],[-71.71236,19.71446],[-71.62487,19.16984],[-71.7013,18.78542],[-71.94511,18.6169],[-71.68774,18.31666],[-71.7083,18.045],[-72.37248,18.21496],[-72.84441,18.14561],[-73.45455,18.21791],[-73.92243,18.03099],[-74.45803,18.34255],[-74.36993,18.66491],[-73.44954,18.52605],[-72.69494,18.4458],[-72.33488,18.66842],[-72.79165,19.10163],[-72.7841,19.48359],[-73.41502,19.63955],[-73.18979,19.91568]]]},\"properties\":{\"name\":\"Haiti\"}}]}","volume":"3","noUsgsAuthors":false,"publicationDate":"2010-10-17","publicationStatus":"PW","scienceBaseUri":"511e158ee4b071e86a19a467","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Altidor, Jean Robert","contributorId":100713,"corporation":false,"usgs":true,"family":"Altidor","given":"Jean","email":"","middleInitial":"Robert","affiliations":[],"preferred":false,"id":471249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anglade, Dieuseul","contributorId":11096,"corporation":false,"usgs":true,"family":"Anglade","given":"Dieuseul","email":"","affiliations":[],"preferred":false,"id":471245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Given, Douglas D. doug@usgs.gov","contributorId":3253,"corporation":false,"usgs":true,"family":"Given","given":"Douglas D.","email":"doug@usgs.gov","affiliations":[],"preferred":true,"id":471244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Given, Doug","contributorId":34015,"corporation":false,"usgs":true,"family":"Given","given":"Doug","email":"","affiliations":[],"preferred":false,"id":471247,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Janvier, M. Guillard","contributorId":71460,"corporation":false,"usgs":true,"family":"Janvier","given":"M.","email":"","middleInitial":"Guillard","affiliations":[],"preferred":false,"id":471248,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maharrey, J. Zebulon","contributorId":20625,"corporation":false,"usgs":true,"family":"Maharrey","given":"J.","email":"","middleInitial":"Zebulon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":471246,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meremonte, Mark E. meremonte@usgs.gov","contributorId":4664,"corporation":false,"usgs":true,"family":"Meremonte","given":"Mark","email":"meremonte@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":812973,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mildor, B. S.-L.","contributorId":19817,"corporation":false,"usgs":false,"family":"Mildor","given":"B.","email":"","middleInitial":"S.-L.","affiliations":[],"preferred":false,"id":812974,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Prepetit, Claude","contributorId":198800,"corporation":false,"usgs":false,"family":"Prepetit","given":"Claude","email":"","affiliations":[],"preferred":false,"id":812975,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yong, Alan K. 0000-0003-1807-5847 yong@usgs.gov","orcid":"https://orcid.org/0000-0003-1807-5847","contributorId":1554,"corporation":false,"usgs":true,"family":"Yong","given":"Alan","email":"yong@usgs.gov","middleInitial":"K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471243,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70204952,"text":"70204952 - 2010 - Invasion and production of New Zealand mud snails in the Colorado River, Glen Canyon","interactions":[],"lastModifiedDate":"2019-08-26T13:51:49","indexId":"70204952","displayToPublicDate":"2010-01-30T13:27:17","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Invasion and production of New Zealand mud snails in the Colorado River, Glen Canyon","docAbstract":"

Species invasions are often associated with large-scale human alteration of ecosystems. One classic example is the increasing dominance of non-native taxa below and above dams on large rivers. These dams substantially alter the physical template of river ecosystems, and exotic taxa often proliferate with potentially large impacts on coexisting taxa and ecosystem processes. Here we document the invasion of New Zealand mud snails (Potamopyrgus antipodarum) in the Colorado River directly below Lake Powell in Glen Canyon, Arizona, USA. We also quantified the magnitude and variability in growth and secondary production of P. antipodarum during 2006–2007 to gain a functional measure of their role in the ecosystem. Snails were first detected in Glen Canyon in 1995, and have since become a dominant component of the invertebrate fauna. Throughout the invasion of P. antipodarum, biomass of other dominant taxa was variable and did not appear to be positively or negatively influenced by the presence of P. antipodarum. Specific growth rates of P. antipodarum were moderate (0.001–0.030 day−1) and strongly related to body size. Mean annual habitat-weighted biomass and production were relatively high (biomass: 4.4 g/m2; secondary production: 13.3 g m−2 year−1) and similar among habitats. Mean monthly biomass and daily secondary production were much more variable, with highest values occurring in autumn. We show that invasion of a productive aquatic consumer to a highly disturbed river ecosystem had little detectable influence on the biomass of other invertebrate taxa. However, additional research will be necessary to fully understand and predict effects of P. antipodarum on coexisting taxa.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-010-9694-y","usgsCitation":"Cross, W.F., E.J. 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This mapping program was part of a larger research effort supporting the Office of Naval Research Ripples Directed-Research Initiative studies at Martha's Vineyard Coastal Observatory designed to improve our understanding of coastal sediment-transport processes. The survey was conducted aboard the Megan T. Miller August 9-13, 2007. The study area covers 35 square kilometers from about 0.2 kilometers to 5 kilometers offshore of the south shore of Martha's Vineyard, and ranges in depth from ~6 to 24 meters. The geophysical mapping utilized the following suite of high-resolution instrumentation to map the surficial sediment distribution, bathymetry, and sub-surface geology: a dual-frequency 100/500 kilohertz sidescan-sonar system, 234 kilohertz interferometric sonar, and 500 hertz -12 kilohertz chirp subbottom profiler. These geophysical data will be used to provide initial conditions for wave and circulation modeling within the study area.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081288","collaboration":"Prepared in cooperation with the Office of Naval Research (ONR)","usgsCitation":"Denny, J.F., Danforth, W.W., Foster, D., and Sherwood, C.R., 2010, Geophysical Data Collected off the South Shore of Martha's Vineyard, Massachusetts: U.S. Geological Survey Open-File Report 2008-1288, https://doi.org/10.3133/ofr20081288.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":125879,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2008_1288.jpg"},{"id":13404,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1288/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-70.52334594726562, 41.30305671691895], [-70.58262634277344, 41.30154228210448], [-70.59637451171875, 41.303667068481424], [-70.60011672973634, 41.31963920593262], [-70.59972000122072, 41.34617042541502], [-70.58935737609863, 41.347505569458015], [-70.53082656860352, 41.3460063934326], [-70.51131057739256, 41.34338188171386], [-70.51148986816406, 41.3034610748291], [-70.52334594726562, 41.30305671691895]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-70.60011672973634, 41.30154228210448, -70.51120185852051, 41.347505569458015], \"type\": \"Feature\", \"id\": \"3091902\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c480","contributors":{"authors":[{"text":"Denny, J. 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The operation is scheduled to run between mid-February and mid-April 2010. When completed, the well will be about 1,500 feet deep. The purpose of this test well is to gain knowledge about the regional-scale Floridan aquifer, an important source of groundwater in the Savannah area. Also, cores obtained during drilling will enable geologists to study the last 60 million years of Earth history in this area.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093112","usgsCitation":"Schultz, A.P., and Seefelt, E., 2010, Drilling a Deep Geologic Test Well at Fort Pulaski National Monument, Georgia: U.S. Geological Survey Fact Sheet 2009-3112, https://doi.org/10.3133/fs20093112.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-02-01","temporalEnd":"2010-04-30","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":126630,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3112.jpg"},{"id":13405,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3112/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635b05","contributors":{"authors":[{"text":"Schultz, Arthur P. aschultz@usgs.gov","contributorId":3252,"corporation":false,"usgs":true,"family":"Schultz","given":"Arthur","email":"aschultz@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":304505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seefelt, Ellen 0000-0001-6822-7402 eseefelt@usgs.gov","orcid":"https://orcid.org/0000-0001-6822-7402","contributorId":2953,"corporation":false,"usgs":true,"family":"Seefelt","given":"Ellen","email":"eseefelt@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":304504,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98159,"text":"fs20103002 - 2010 - Assessing the vulnerability of public-supply wells to contamination: Glacial aquifer system in Woodbury, Connecticut","interactions":[],"lastModifiedDate":"2021-11-04T18:14:32.80229","indexId":"fs20103002","displayToPublicDate":"2010-01-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3002","title":"Assessing the vulnerability of public-supply wells to contamination: Glacial aquifer system in Woodbury, Connecticut","docAbstract":"This fact sheet highlights findings from the vulnerability study of a public-supply well in Woodbury, Connecticut. The well typically produces water at the rate of 72 gallons per minute from the glacial aquifer system in the Pomperaug River Basin. Water samples were collected at the public-supply well and at monitoring wells installed in or near the simulated zone of contribution to the supply well. Samples of untreated water from the public-supply wellhead contained several types of undesirable constituents, including 11 volatile organic compounds (VOCs), nitrate, pesticides, uranium, and radon. Most of these constituents were detected at concentrations below drinking-water standards, where such standards exist. Only concentrations of the VOC trichlorethylene exceeded the Maximum Contaminant Level (MCL) of 5 micrograms per liter (ug/L) established by U.S. Environmental Protection Agency for drinking water. Radon concentrations exceeded a proposed-but not finalized-MCL of 300 picocuries per liter (pCi/L). \n\nOverall, the study findings point to four main factors that affect the movement and fate of contaminants and the vulnerability of the public-supply well in Woodbury: (1) groundwater age (how long ago water entered, or recharged, the aquifer); (2) the percentage of recharge received through urban areas; (3) the percentage of recharge received through dry wells and their proximity to the public-supply well; and (4) natural geochemical processes occurring within the aquifer system; that is, processes that affect the amounts and distribution of chemical substances in aquifer sediments and groundwater.\n\nA computer-model simulation of groundwater flow to the public-supply well was used to estimate the age of water particles entering the well along the length of the well screen. About 90 percent of the simulated flow to the well consists of water that entered the aquifer 9 or fewer years ago. Such young water is vulnerable to contaminants resulting from human activities, as indicated by the solvents, fuel components, road salt, and septic-system leachate that were detected in the glacial aquifer system during the current study. Age-dating combined with chemical modeling suggests that less than 2 percent of water produced by the public-supply well is water from the deep bedrock that is \"old\" (water that recharged, or entered, the aquifer before 1952). Such a small percentage of old groundwater entering the public-supply well offers little potential for dilution of young waters containing contaminants from human activities. \n\nShallow groundwater that originated as recharge through urban areas generally had higher median concentrations and more detections of volatile organic compounds (VOCs) than did groundwater from the deep glacial deposits or fractured bedrock that originated mainly as recharge through agricultural and undeveloped land. Shallow groundwater was also found to be affected by road salt and septic-system leachate. A chemical mixing model indicates that up to 15 percent of nitrate in water from the supply well is likely from septic-system leachate.\n\nThe Connecticut Department of Public Health has identified several potential sources of contamination in the commercial area of Woodbury (several light industrial or commercial properties where hazardous materials and petroleum products are used and stored). To reduce stormwater runoff in the commercial area, water from the parking lots and pavement is channeled into dry wells-drains that shunt water directly into the aquifer system, bypassing the soil and unsaturated zones. A computer-model simulation of groundwater flow indicates that approximately 16 percent of the water produced by the public-supply well is derived from runoff captured by these drains. Traveltime for water from the dry wells to the public-supply well ranges from about 1.5 to less than 4 years. Dry wells have the potential to enhance contaminant movement to the supply well, suggesting that stormwater-control methods cannot be considered separately from groundwater quality—they are linked. \n\nWater-quality protection in this setting depends on the entire community. If residents and businesses take steps to reduce input of manmade contaminants to groundwater, a positive effect on quality of the supply-well water might begin to be seen in less than 10 years, owing to the short residence time of water in the aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20103002","usgsCitation":"Jagucki, M.L., Brown, C., Starn, J.J., and Eberts, S., 2010, Assessing the vulnerability of public-supply wells to contamination: Glacial aquifer system in Woodbury, Connecticut: U.S. Geological Survey Fact Sheet 2010-3002, 6 p., https://doi.org/10.3133/fs20103002.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":125804,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3002.jpg"},{"id":13402,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3002/","linkFileType":{"id":5,"text":"html"}},{"id":391387,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91356.htm"}],"country":"United States","state":"Connecticut","city":"Woodbury","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.25202941894531,\n 41.49314949080981\n ],\n [\n -73.13529968261719,\n 41.49314949080981\n ],\n [\n -73.13529968261719,\n 41.57127917558171\n ],\n [\n -73.25202941894531,\n 41.57127917558171\n ],\n [\n -73.25202941894531,\n 41.49314949080981\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672a82","contributors":{"authors":[{"text":"Jagucki, Martha L. 0000-0003-3798-8393 mjagucki@usgs.gov","orcid":"https://orcid.org/0000-0003-3798-8393","contributorId":1794,"corporation":false,"usgs":true,"family":"Jagucki","given":"Martha","email":"mjagucki@usgs.gov","middleInitial":"L.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Craig J.","contributorId":104450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[],"preferred":false,"id":304492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":304491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":304490,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98160,"text":"ofr20091203 - 2010 - Preliminary use of uric acid as a biomarker for wading birds on Everglades Tree Islands, Florida, United States ","interactions":[],"lastModifiedDate":"2018-11-01T12:07:48","indexId":"ofr20091203","displayToPublicDate":"2010-01-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1203","title":"Preliminary use of uric acid as a biomarker for wading birds on Everglades Tree Islands, Florida, United States ","docAbstract":"Concentrations of organic biomarkers and concentrations of phosphorus in soil cores can potentially be used as proxies for historic population densities of wading birds on tree islands in the Florida Everglades. This report focuses on establishing a link between the organic biomarker uric acid found in wading bird guano and the high phosphorus concentrations in tree island soils in the Florida Everglades. Uric acid was determined in soil core sections, in surface samples, and in bird guano by using a method of high-performance liquid chromatography-mass spectrometry (HPLC-MS) developed for this purpose. Preliminary results show an overall correlation between uric acid and total phosphorus in three soil cores, with a general trend of decreasing concentrations of both uric acid and phosphorus with depth. However, we have also found no uric acid in a soil core having high concentrations of phosphorus. We believe that this result may be explained by different geochemical circumstances at that site. \r\n","language":"English","publisher":"U.S. Geological Survey ","doi":"10.3133/ofr20091203","usgsCitation":"Bates, A.L., Orem, W.H., Newman, S., Gawlik, D.E., Lerch, H.E., Corum, M., and Van Winkle, M., 2010, Preliminary use of uric acid as a biomarker for wading birds on Everglades Tree Islands, Florida, United States : U.S. Geological Survey Open-File Report 2009-1203, v, 26 p., https://doi.org/10.3133/ofr20091203.","productDescription":"v, 26 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":125431,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1203.jpg"},{"id":13403,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1203/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Everglade Tree Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,25 ], [ -81,27 ], [ -80,27 ], [ -80,25 ], [ -81,25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e42e","contributors":{"authors":[{"text":"Bates, Anne L. 0000-0002-4875-4675 abates@usgs.gov","orcid":"https://orcid.org/0000-0002-4875-4675","contributorId":2789,"corporation":false,"usgs":true,"family":"Bates","given":"Anne","email":"abates@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newman, Susan","contributorId":15308,"corporation":false,"usgs":true,"family":"Newman","given":"Susan","email":"","affiliations":[],"preferred":false,"id":304497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gawlik, Dale E.","contributorId":88055,"corporation":false,"usgs":true,"family":"Gawlik","given":"Dale","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":304499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lerch, Harry E. tlerch@usgs.gov","contributorId":600,"corporation":false,"usgs":true,"family":"Lerch","given":"Harry","email":"tlerch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":304494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corum, M.D. 0000-0002-9038-3935 mcorum@usgs.gov","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":2249,"corporation":false,"usgs":true,"family":"Corum","given":"M.D.","email":"mcorum@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":304495,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Winkle, Monica","contributorId":50622,"corporation":false,"usgs":true,"family":"Van Winkle","given":"Monica","email":"","affiliations":[],"preferred":false,"id":304498,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98158,"text":"ofr20101019 - 2010 - USGS-WHOI-DPRI Coulomb Stress-Transfer Model for the January 12, 2010, MW=7.0 Haiti Earthquake","interactions":[],"lastModifiedDate":"2019-07-17T16:35:06","indexId":"ofr20101019","displayToPublicDate":"2010-01-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1019","title":"USGS-WHOI-DPRI Coulomb Stress-Transfer Model for the January 12, 2010, MW=7.0 Haiti Earthquake","docAbstract":"Using calculated stress changes to faults surrounding the January 12, 2010, rupture on the Enriquillo Fault, and the current (January 12 to 26, 2010) aftershock productivity, scientists from the U.S. Geological Survey (USGS), Woods Hole Oceanographic Institution (WHOI), and Disaster Prevention Research Institute, Kyoto University (DPRI) have made rough estimates of the chance of a magnitude (Mw)=7 earthquake occurring during January 27 to February 22, 2010, in Haiti. The probability of such a quake on the Port-au-Prince section of the Enriquillo Fault is about 2 percent, and the probability for the section to the west of the January 12, 2010, rupture is about 1 percent. The stress changes on the Septentrional Fault in northern Haiti are much smaller, although positive.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101019","collaboration":"IPPA: men10-9939-7373 ","usgsCitation":"Lin, J., Stein, R.S., Sevilgen, V., and Toda, S., 2010, USGS-WHOI-DPRI Coulomb Stress-Transfer Model for the January 12, 2010, MW=7.0 Haiti Earthquake: U.S. Geological Survey Open-File Report 2010-1019, iii, 7 p., https://doi.org/10.3133/ofr20101019.","productDescription":"iii, 7 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-12","temporalEnd":"2010-02-22","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":13401,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1019/","linkFileType":{"id":5,"text":"html"}},{"id":125821,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1019.jpg"}],"country":"Haiti","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74,18 ], [ -74,20.5 ], [ -71.5,20.5 ], [ -71.5,18 ], [ -74,18 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e1e4b07f02db5e4860","contributors":{"authors":[{"text":"Lin, Jian","contributorId":16930,"corporation":false,"usgs":true,"family":"Lin","given":"Jian","email":"","affiliations":[],"preferred":false,"id":304487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stein, Ross S. 0000-0001-7586-3933 rstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7586-3933","contributorId":2604,"corporation":false,"usgs":true,"family":"Stein","given":"Ross","email":"rstein@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":304485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sevilgen, Volkan vsevilgen@usgs.gov","contributorId":3254,"corporation":false,"usgs":true,"family":"Sevilgen","given":"Volkan","email":"vsevilgen@usgs.gov","affiliations":[],"preferred":true,"id":304486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toda, Shinji","contributorId":43062,"corporation":false,"usgs":true,"family":"Toda","given":"Shinji","email":"","affiliations":[],"preferred":false,"id":304488,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98150,"text":"pp1771 - 2010 - Groundwater flow systems at the Nevada Test Site, Nevada: A synthesis of potentiometric contours, hydrostratigraphy, and geologic structures","interactions":[],"lastModifiedDate":"2023-04-11T20:32:33.540345","indexId":"pp1771","displayToPublicDate":"2010-01-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1771","title":"Groundwater flow systems at the Nevada Test Site, Nevada: A synthesis of potentiometric contours, hydrostratigraphy, and geologic structures","docAbstract":"

Contaminants introduced into the subsurface of the Nevada Test Site by underground nuclear testing are of concern to the U.S. Department of Energy and regulators responsible for protecting human health and safety. The potential for contaminant movement away from the underground test areas and into the accessible environment is greatest by groundwater transport. The primary hydrologic control on this transport is evaluated and examined through a series of contour maps developed to represent the hydraulic-head distribution within each of the major aquifers underlying the area. Aquifers were identified and their extents delineated by merging and analyzing multiple hydrostratigraphic framework models developed by other investigators from existing geologic information. A map of the hydraulic-head distribution in each major aquifer was developed from a detailed evaluation and assessment of available water-level measurements. Multiple spreadsheets that accompany this report provide pertinent water-level and geologic data by well or drill hole.

Aquifers are mapped and discussed in general terms as being one of two types: alluvial–volcanic, or carbonate. Both aquifer types are subdivided and mapped as independent regional and local aquifers, based on the continuity of their component rock. Groundwater-flow directions, approximated from potentiometric contours that were developed from the hydraulic-head distribution, are indicated on the maps and discussed for each of the regional aquifers and for selected local aquifers. Hydraulic heads vary across the study area and are interpreted to range in altitude from greater than 5,000 feet in a regional alluvial–volcanic aquifer beneath a recharge area in the northern part of the study area to less than 2,300 feet in regional alluvial–volcanic and carbonate aquifers in the southwestern part of the study area. Flow directions throughout the study area are dominantly south-southwest with some local deviations. Vertical hydraulic gradients between aquifer types are downward throughout most of the study area; however, flow from the alluvial–volcanic aquifer into the underlying carbonate aquifer, where both aquifers are present, is believed to be minor because of an intervening confining unit. Limited exchange of water between aquifer types occurs by diffuse flow through the confining unit, by focused flow along fault planes, or by direct flow where the confining unit is locally absent.

Interflow between regional aquifers is evaluated and mapped to define major flow paths. These flow paths delineate tributary flow systems, which converge to form intermediate and regional flow systems. The implications of these flow systems in controlling transport of radionuclides away from the underground test areas at the Nevada Test Site are briefly discussed. Additionally, uncertainties in the delineation of aquifers, the development of potentiometric contours, and the identification of flow systems are identified and evaluated.

Eleven tributary flow systems and three larger flow systems are mapped in the Nevada Test Site area. Flow systems within the alluvial–volcanic aquifer dominate the western half of the study area, whereas flow systems within the carbonate aquifer are most prevalent in the southeastern half of the study area. Most of the flow in the regional alluvial–volcanic aquifer that moves through the underground testing area on Pahute Mesa is discharged to the land surface at springs and seeps in Oasis Valley. Flow in the regional carbonate aquifer is internally compartmentalized by major geologic structures, primarily thrust faults, which constrain flow into separate corridors. Contaminants that reach the regional carbonate aquifer from testing areas in Yucca and Frenchman Flats flow toward downgradient discharge areas through the Alkali Flat–Furnace Creek Ranch or Ash Meadows flow systems and their tributaries.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1771","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration, Nevada Site Office, Office of Environmental Management under Interagency Agreement, DE-A152-07NA28100U.","usgsCitation":"Fenelon, J.M., Sweetkind, D., and Laczniak, R.J., 2010, Groundwater flow systems at the Nevada Test Site, Nevada: A synthesis of potentiometric contours, hydrostratigraphy, and geologic structures: U.S. Geological Survey Professional Paper 1771, Report: vi, 54 p.; 3 Appendices; 6 Plates: 36.00 x 48.00 inches, https://doi.org/10.3133/pp1771.","productDescription":"Report: vi, 54 p.; 3 Appendices; 6 Plates: 36.00 x 48.00 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":125810,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1771.jpg"},{"id":13393,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1771/","linkFileType":{"id":5,"text":"html"}},{"id":415600,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91048.htm","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator Projection","country":"United States","state":"Nevada","otherGeospatial":"Nevada Test Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.7861,\n 36.5733\n ],\n [\n -116.7861,\n 37.3853\n ],\n [\n -115.8333,\n 37.3853\n ],\n [\n -115.8333,\n 36.5733\n ],\n [\n -116.7861,\n 36.5733\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a95e4b07f02db65a09d","contributors":{"authors":[{"text":"Fenelon, Joseph M. 0000-0003-4449-245X jfenelon@usgs.gov","orcid":"https://orcid.org/0000-0003-4449-245X","contributorId":2355,"corporation":false,"usgs":true,"family":"Fenelon","given":"Joseph","email":"jfenelon@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":304458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laczniak, Randell J.","contributorId":90687,"corporation":false,"usgs":true,"family":"Laczniak","given":"Randell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":304459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98154,"text":"ofr20101001 - 2010 - Volcanogenic uranium deposits: Geology, geochemical processes, and criteria for resource assessment","interactions":[],"lastModifiedDate":"2022-06-16T20:37:36.831618","indexId":"ofr20101001","displayToPublicDate":"2010-01-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1001","title":"Volcanogenic uranium deposits: Geology, geochemical processes, and criteria for resource assessment","docAbstract":"

Felsic volcanic rocks have long been considered a primary source of uranium for many kinds of uranium deposits, but volcanogenic uranium deposits themselves have generally not been important resources. Until the past few years, resource summaries for the United States or the world generally include volcanogenic in the broad category of \"other deposits\" because they comprised less than 0.5 percent of past production or estimated resources. Exploration in the United States from the 1940s through 1982 discovered hundreds of prospects in volcanic rocks, of which fewer than 20 had some recorded production. Intensive exploration in the late 1970s found some large deposits, but low grades (less than about 0.10 percent U3O8) discouraged economic development. A few deposits in the world, drilled in the 1980s and 1990s, are now known to contain large resources (>20,000 tonnes U3O8). However, research on ore-forming processes and exploration for volcanogenic deposits has lagged behind other kinds of uranium deposits and has not utilized advances in understanding of geology, geochemistry, and paleohydrology of ore deposits in general and epithermal deposits in particular. This review outlines new ways to explore and assess for volcanogenic deposits, using new concepts of convection, fluid mixing, and high heat flow to mobilize uranium from volcanic source rocks and form deposits that are postulated to be large. Much can also be learned from studies of epithermal metal deposits, such as the important roles of extensional tectonics, bimodal volcanism, and fracture-flow systems related to resurgent calderas.

Regional resource assessment is helped by genetic concepts, but hampered by limited information on frontier areas and undiscovered districts. Diagnostic data used to define ore deposit genesis, such as stable isotopic data, are rarely available for frontier areas. A volcanic environment classification, with three classes (proximal, distal, and pre-volcanic structures), permits use of geologic features on 1:500,000 to 1:100,000 scale maps. Geochemical databases for volcanic rocks are postulated to be more effective than databases for stream sediments or surface radioactivity, both of which tend to be inconsistent because of variable leaching of uranium from soils. Based on empirical associations, spatial associations with areas of wet paleoclimate, adjacent oil and gas fields, or evaporite beds are deemed positive. Most difficult to estimate is the location of depositional traps and reduction zones, in part because they are mere points at regional scale.

Grade and tonnage data are reviewed and discussed for 32 deposits in the world. Experience of mining engineers and geologists in Asia suggests that tonnages could be higher than presently known in the Western Hemisphere. Geological analysis, and new data from Asia, suggest a typical or median deposit tonnage of about 5,000 tonnes U3O8, and an optimistic forecast of discoveries in the range of 5,000 to 20,000 tonnes U3O8. The likely grade of undiscovered deposits could be about 0.15 percent U3O8 , based on both western and eastern examples. Volcanic terrane is under-explored, relative to other kinds of uranium deposits, and is considered a favorable frontier area for new discoveries.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101001","usgsCitation":"Nash, J.T., 2010, Volcanogenic uranium deposits: Geology, geochemical processes, and criteria for resource assessment: U.S. Geological Survey Open-File Report 2010-1001, vi, 99 p., https://doi.org/10.3133/ofr20101001.","productDescription":"vi, 99 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":177,"text":"Central Region Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":125805,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1001.gif"},{"id":13397,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1001/","linkFileType":{"id":5,"text":"html"}},{"id":402306,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91039.htm"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd616","contributors":{"authors":[{"text":"Nash, J. Thomas","contributorId":26306,"corporation":false,"usgs":true,"family":"Nash","given":"J.","email":"","middleInitial":"Thomas","affiliations":[],"preferred":false,"id":304470,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98149,"text":"fs20103005 - 2010 - An overview of historical channel adjustment and selected hydraulic values in the Lower Sabine and Lower Brazos River Basins, Texas and Louisiana","interactions":[],"lastModifiedDate":"2016-08-12T16:00:42","indexId":"fs20103005","displayToPublicDate":"2010-01-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3005","title":"An overview of historical channel adjustment and selected hydraulic values in the Lower Sabine and Lower Brazos River Basins, Texas and Louisiana","docAbstract":"

The Sabine and Brazos are alluvial rivers; alluvial rivers are dynamic systems that adjust their geometry in response to changes in streamflow (discharge) and sediment load. In fluvial geomorphology, the term 'channel adjustment' refers to river channel changes in three geometric dimensions: (1) channel slope (profile); (2) the outline or shape, such as meandering or braided, projected on a horizontal plane (planform); and (3) cross-sectional form (shape). The primary objective of the study was to investigate how the channel morphology of these rivers has changed in response to reservoirs and other anthropogenic disturbances that have altered streamflow and sediment load. The results of this study are expected to aid ecological assessments in the lower Sabine River and lower Brazos River Basins for the Texas Instream Flow Program. Starting in the 1920s, several dams have been constructed on the Sabine and Brazos Rivers and their tributaries, and numerous bridges have been built and sometimes replaced multiple times, which have changed the natural flow regime and reduced or altered sediment loads downstream. Changes in channel geometry over time can reduce channel conveyance and thus streamflow, which can have adverse ecological effects. Channel attributes including cross-section form, channel slope, and planform change were evaluated to learn how each river's morphology changed over many years in response to natural and anthropogenic disturbances. Climate has large influence on the hydrologic regimes of the lower Sabine and lower Brazos River Basins. Equally important as climate in controlling the hydrologic regime of the two river systems are numerous reservoirs that regulate downstream flow releases. The hydrologic regimes of the two rivers and their tributaries reflect the combined influences of climate, flow regulation, and drainage area. Historical and contemporary cross-sectional channel geometries at 15 streamflow-gaging stations in the lower Sabine and lower Brazos River Basins were evaluated. An in-depth discussion of results from streamflow-gaging station 08028500 Sabine River near Bon Weir, Tex., is featured here as an example of the analyses that were done at each station.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20103005","collaboration":"Prepared in cooperation with the Texas Water Development Board","usgsCitation":"Heitmuller, F.T., Greene, L.E., and John D. Gordon, J.D., 2010, An overview of historical channel adjustment and selected hydraulic values in the Lower Sabine and Lower Brazos River Basins, Texas and Louisiana: U.S. Geological Survey Fact Sheet 2010-3005, 4 p., https://doi.org/10.3133/fs20103005.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":125803,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3005.jpg"},{"id":326469,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2010/3005/pdf/fs2010-3005.pdf"},{"id":13392,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3005/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db68604b","contributors":{"authors":[{"text":"Heitmuller, Franklin T.","contributorId":67476,"corporation":false,"usgs":true,"family":"Heitmuller","given":"Franklin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":304455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greene, Lauren E.","contributorId":22868,"corporation":false,"usgs":true,"family":"Greene","given":"Lauren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":304454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"John D. Gordon, John D.","contributorId":89625,"corporation":false,"usgs":true,"family":"John D. 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Multiple orthorectified Landsat 5 Thematic Mapper (TM) scenes collected during 2006-2008 were spectrally normalized via reflectance transformation and linear regression based upon pseudo-invariant features (PIFS) following the removal of clouds. Individual Landsat scenes were then mosaicked to form a six-band image composite spanning the visible to shortwave infrared spectrum. This image mosaic, presented here, will also be used to create a conifer health classification for Colorado in Scientific Investigations Map 3103. \r\n\r\nAn archive of past and current Landsat imagery exists and is available to the scientific community (http://glovis.usgs.gov/), but significant pre-processing was required to produce a statewide mosaic from this information. Much of the data contained perennial cloud cover that complicated analysis and classification efforts. 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We also describe how a high-quality metallogenic and tectonic analysis, including construction of an associated metallogenic-tectonic model will greatly benefit other mineral resource studies, including synthesis of mineral-deposit models; improve prediction of undiscovered mineral deposit as part of a quantitative mineral-resource-assessment studies; assist land-use and mineral-exploration planning; improve interpretations of the origins of host rocks, mineral deposits, and metallogenic belts, and suggest new research. \n\nResearch on the metallogenesis and tectonics of such major regions as Northeast Asia (eastern Russia, Mongolia, northern China, South Korea, and Japan) and the Circum-North Pacific (the Russian Far East, Alaska, and the Canadian Cordillera) requires a complex methodology including (1) definitions of key terms, (2) compilation of a regional geologic base map that can be interpreted according to modern tectonic concepts and definitions, (3) compilation of a mineral-deposit database that enables a determination of mineral-deposit models and clarification of the relations of deposits to host rocks and tectonic origins, (4) synthesis of a series of mineral-deposit models that characterize the known mineral deposits and inferred undiscovered deposits in the region, (5) compilation of a series of metallogenic-belt belts constructed on the regional geologic base map, and (6) construction of a unified metallogenic and tectonic model. \n\nThe summary of regional geology and metallogenesis presented here is based on publications of the major international collaborative studies of the metallogenesis and tectonics of Northeast Asia that have been led by the U.S. Geological Survey (USGS). 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We also describe how a high-quality metallogenic and tectonic analysis, including construction of an associated metallogenic-tectonic model will greatly benefit other mineral resource studies, including synthesis of mineral-deposit models; improve prediction of undiscovered mineral deposit as part of a quantitative mineral-resource-assessment studies; assist land-use and mineral-exploration planning; improve interpretations of the origins of host rocks, mineral deposits, and metallogenic belts, and suggest new research. \n\nResearch on the metallogenesis and tectonics of such major regions as Northeast Asia (eastern Russia, Mongolia, northern China, South Korea, and Japan) and the Circum-North Pacific (the Russian Far East, Alaska, and the Canadian Cordillera) requires a complex methodology including (1) definitions of key terms, (2) compilation of a regional geologic base map that can be interpreted according to modern tectonic concepts and definitions, (3) compilation of a mineral-deposit database that enables a determination of mineral-deposit models and clarification of the relations of deposits to host rocks and tectonic origins, (4) synthesis of a series of mineral-deposit models that characterize the known mineral deposits and inferred undiscovered deposits in the region, (5) compilation of a series of metallogenic-belt belts constructed on the regional geologic base map, and (6) construction of a unified metallogenic and tectonic model. \n\nThe summary of regional geology and metallogenesis presented here is based on publications of the major international collaborative studies of the metallogenesis and tectonics of Northeast Asia that have been led by the U.S. Geological Survey (USGS). These studies have produced two broad types of publications (1) a series of regional geologic, mineral-deposit, and metallogenic-belt maps, with companion descriptions of the region, and (2) a suite of metallogenic and tectonic analyses of the same region. \n\nThe study area consists of eastern Russia (most of eastern Siberia and the Russian Far East), Mongolia, northern China, South Korea, Japan, and adjacent offshore areas. The major cooperative agencies are the Russian Academy of Sciences; the Academy of Sciences of the Sakha Republic (Yakutia); VNIIOkeangeologia and Ministry of Natural Resources of the Russian Federation; the Mongolian Academy of Sciences; the Mongolian University of Science and Technology; the Mongolian National University; Jilin University, Changchun, People?s Republic of China, the China Geological Survey; the Korea Institute of Geosciences and Mineral Resources; the Geological Survey of Japan/AIST; the University of Texas, Arlington, and the U.S. Geological Survey (USGS). \n\nThis study builds on and extends the data and interpretations from a previous project on the Major Mineral Deposits, Metallogenesis, and Tectonics of the Russian Far East, Alaska, and the Canadian Cordillera conducted by the USGS, the Russian Academy of Sciences, the Alaska Division of Geological and Geophysical Surveys, and the Geological Survey of Canada. The major products of this project were summarized by Naumova and others (2006) and are described in appendix A.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Metallogenesis and tectonics of northeast Asia (PP 1765)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp17652","collaboration":"This report is Chapter 2 in Metallogenesis and tectonics of northeast Asia. For more information, see: Professional Paper 1765.","usgsCitation":"Nokleberg, W.J., Bundtzen, T., Dawson, K.M., Eremin, R.A., Goryachev, N., Khanchuk, A.I., Monger, J.W., Obolenskiy, A., Parfenov, L.M., Prokopiev, A.V., Ratkin, V.V., Rodionov, S.M., and Shpikerman, V.I., 2010, Methodology of a combined regional metallogenic and tectonic analysis for northeast Asia, Chapter 2 in Metallogenesis and tectonics of northeast Asia: U.S. Geological Survey Professional Paper 1765-2, 18 p., https://doi.org/10.3133/pp17652.","productDescription":"18 p.","onlineOnly":"N","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":125817,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1765_2.jpg"},{"id":13375,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1765/index.html","linkFileType":{"id":5,"text":"html"}}],"scale":"5000000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 75,3 ], [ 75,8.333333333333334 ], [ 144,8.333333333333334 ], [ 144,3 ], [ 75,3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65dab4","contributors":{"authors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":304294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bundtzen, Thomas K.","contributorId":83560,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Thomas K.","affiliations":[],"preferred":false,"id":304304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dawson, Kenneth M.","contributorId":97525,"corporation":false,"usgs":true,"family":"Dawson","given":"Kenneth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eremin, Roman A.","contributorId":105759,"corporation":false,"usgs":true,"family":"Eremin","given":"Roman","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":304306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goryachev, Nikolai A.","contributorId":7318,"corporation":false,"usgs":true,"family":"Goryachev","given":"Nikolai A.","affiliations":[],"preferred":false,"id":304295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Khanchuk, Alexander I.","contributorId":19585,"corporation":false,"usgs":true,"family":"Khanchuk","given":"Alexander","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":304296,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monger, James W.H.","contributorId":53900,"corporation":false,"usgs":true,"family":"Monger","given":"James","email":"","middleInitial":"W.H.","affiliations":[],"preferred":false,"id":304300,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Obolenskiy, Alexander A.","contributorId":19632,"corporation":false,"usgs":true,"family":"Obolenskiy","given":"Alexander A.","affiliations":[],"preferred":false,"id":304297,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parfenov, Leonid M.","contributorId":59112,"corporation":false,"usgs":true,"family":"Parfenov","given":"Leonid","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304301,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Prokopiev, Andrei V.","contributorId":20825,"corporation":false,"usgs":true,"family":"Prokopiev","given":"Andrei","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":304298,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ratkin, Vladimir V.","contributorId":79924,"corporation":false,"usgs":true,"family":"Ratkin","given":"Vladimir","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":304303,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rodionov, Sergey M.","contributorId":64726,"corporation":false,"usgs":true,"family":"Rodionov","given":"Sergey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304302,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shpikerman, Vladimir I.","contributorId":35766,"corporation":false,"usgs":true,"family":"Shpikerman","given":"Vladimir","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":304299,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ]}