Flood-frequency analyses use statistical methods to compute peak streamflows for selected recurrence intervals— the average number of years between peak flows that are equal to or greater than a specified peak flow. Analyses are based on annual peak flows at a stream. It has long been assumed that the annual peak streamflows used in these computations were stationary (non-changing) over very long periods of time, except in river basins subject to direct effects of human activities, such as urbanization and regulation. Because of the potential effects of global warming on peak flows, the assumption of peak-flow stationarity has recently been questioned. Maine has many streamgages with 50 to 105 years of recorded annual peak streamflows. In this study, this long-term record has been tested for historical flood-frequency stationarity, to provide some insight into future flood frequency.
Changes over time in annual instantaneous peak streamflows at 28 U.S. Geological Survey streamgages with long-term data (50 or more years) and relatively complete records were investigated by examining linear trends for each streamgage’s period of record. None of the 28 streamgages had more than 5 years of missing data. Eight streamgages have substantial streamflow regulation. Because previous studies have suggested that changes over time may have occurred as a step change around 1970, step changes between each streamgage’s older record (start year to 1970) and newer record (1971 to 2006) also were computed. The median change over time for all 28 streamgages is an increase of 15.9 percent based on a linear change and an increase of 12.4 percent based on a step change. The median change for the 20 unregulated streamgages is slightly higher than for all 28 streamgages; it is 18.4 percent based on a linear change and 15.0 percent based on a step change.
Peak flows with 100- and 5-year recurrence intervals were computed for the 28 streamgages using the full annual peak-flow record and multiple sub-periods of that record using the guidelines (Bulletin 17B) of the Interagency Advisory Committee on Water Data. Magnitudes of 100- and 5-year peak flows computed from sub-periods then were compared to those computed from the full period. Sub-periods of 30 years with starting years staggered by 10 years were evaluated (1907–36, 1917–46, 1927–56, 1937–66, 1947–76, 1957–86, 1967–96, and 1977–2006). Two other sub-periods were evaluated using older data (start-of-record to 1970) and newer data (1971 to 2006). The 5-year peak flow is used to represent small and relatively frequent flood flows in Maine, whereas the 100-year peak flow is used to represent large flood flows.
The 1967–96 sub-period generated the highest 100- and 5-year peak flows overall when compared to peak flows based on the full period of record; the median difference for all 28 streamgages is 8 percent for 100- and 5-year peak flows. The 1977–2006 and 1971–2006 sub-periods also generated 100- and 5-year peak flows higher than peak flows based on the full period of record, but not as high as the peak flows based on the 1967–96 sub-period. The 1937–66 sub-period generated the lowest 100- and 5-year peak flows overall. The median difference from full-period peak flows is -11 percent for 100-year peak flows and -8 percent for 5-year peak flows. Overall, differences between peak flows based on the sub-periods and those based on the full periods, generated using the 20 unregulated streamgages, are similar to differences using all 28 streamgages.
Increases in the 5- and 100-year peak flows based on recent years of record are, in general, modest when compared to peak flows based on complete periods of record. The highest peak flows are based on the 1967–96 sub-period rather than the most recent sub-period (1977-2006). Peak flows for selected recurrence intervals are sensitive to very high peak flows that may occur once in a century or even less frequently. It is difficult, therefore, to determine which approach will produce the most reliable future estimates of peak flows for selected recurrence intervals, using only recent years of record or the traditional method using the entire historical period. One possible conservative approach to computing peak flows of selected recurrence intervals would be to compute peak flows using recent annual peak flows and the entire period of record, then choose the higher computed value. Whether recent or entire periods of record are used to compute peak flows of selected recurrence intervals, the results of this study highlight the importance of using recent data in the computation of the peak flows. The use of older records alone could result in underestimation of peak flows, particularly peak flows with short recurrence intervals, such as the 5-year peak flows.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105094","collaboration":"Prepared in cooperation with the Maine Department of Transportation","usgsCitation":"Hodgkins, G.A., 2010, Historical changes in annual peak flows in Maine and implications for flood-frequency analyses: U.S. Geological Survey Scientific Investigations Report 2010-5094, v, 38 p., https://doi.org/10.3133/sir20105094.","productDescription":"v, 38 p.","additionalOnlineFiles":"N","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":126016,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5094.jpg"},{"id":343324,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5094/pdf/sir2010-5094.pdf","text":"Report","size":"5.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":14222,"rank":100,"type":{"id":15,"text":"Index 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The samplers provide screening-level data to determine the presence or absence of volatile organic compounds, semi-volatile organic compounds, and polycyclic aromatic hydrocarbons and were deployed in saturated creek and floodplain sediments adjacent to four abandoned waste-disposal/warfare-training sites. Fuelrelated compounds, not solvents, are the most prevalent organic compounds detected along segments of McCoys Creek adjacent to the 19th Street landfill; South Prong Creek adjacent to the South Prong Creek waste-disposal area; an unnamed tributary to Butler Creek adjacent to the old hospital landfill; and the Brier Creek floodplain adjacent to the Patterson anti-tank range. All 37 samplers deployed in these assessments had detections of total petroleum hydrocarbons ranging from just above 3 (laboratory method detection level) to 344 micrograms per liter. Detections of octane that ranged from 1 to 7.6 micrograms per liter were common in all assessments, except for South Prong Creek. Calculated concentrations of benzene are at or just above the National Primary Drinking Water Standard maximum contaminant level for all samplers deployed in the floodplain at the Patterson anti-tank range. The highest calculated concentration of a specific fuel-related compound was for toluene collected at one sampling site on McCoys Creek adjacent to the 19th Street landfill, but the concentration was below the National Primary Drinking Water Standard. These results are being used by Fort Gordon environmental compliance personnel to decide if further assessments are needed at these abandoned waste-disposal/warfare-training sites
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The methods include: - signal processing to remove noise and decompose complex signals into simpler components; - time series clustering that optimally groups hundreds of signals into \"classes\" that behave similarly for data reduction and (or) divide-and-conquer problem solving; - classification which optimally matches new data to behavioral classes; - artificial neural networks which optimally fit multivariate data to create predictive models; - model response surface visualization that greatly aids in understanding data and physical processes; and, - decision support systems that integrate data, models, and graphics into a single package that is easy to use.
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Carolina\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"561793b0e4b0cdb063e3fb30","contributors":{"authors":[{"text":"Roehl, Edwin A.","contributorId":89242,"corporation":false,"usgs":true,"family":"Roehl","given":"Edwin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":577070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":577071,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227340,"text":"70227340 - 2010 - Detection and mapping of hydrocarbon deposits on Titan","interactions":[],"lastModifiedDate":"2022-01-10T18:02:45.033584","indexId":"70227340","displayToPublicDate":"2010-10-13T12:00:56","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7353,"text":"Journal of Geophysical Research - Planets","active":true,"publicationSubtype":{"id":10}},"title":"Detection and mapping of hydrocarbon deposits on Titan","docAbstract":"We report the identification of compounds on Titan's surface by spatially resolved imaging spectroscopy methods through Titan's atmosphere, and set upper limits to other organic compounds. We present evidence for surface deposits of solid benzene (C6H6), solid and/or liquid ethane (C2H6), or methane (CH4), and clouds of hydrogen cyanide (HCN) aerosols using diagnostic spectral features in data from the Cassini Visual and Infrared Mapping Spectrometer (VIMS). Cyanoacetylene (2-propynenitrile, IUPAC nomenclature, HC3N) is indicated in spectra of some bright regions, but the spectral resolution of VIMS is insufficient to make a unique identification although it is a closer match to the feature previously attributed to CO2. We identify benzene, an aromatic hydrocarbon, in larger abundances than expected by some models. Acetylene (C2H2), expected to be more abundant on Titan according to some models than benzene, is not detected. Solid acetonitrile (CH3CN) or other nitriles might be candidates for matching other spectral features in some Titan spectra. An as yet unidentified absorption at 5.01-μm indicates that yet another compound exists on Titan's surface. We place upper limits for liquid methane and ethane in some locations on Titan and find local areas consistent with millimeter path lengths. Except for potential lakes in the southern and northern polar regions, most of Titan appears “dry.” Finally, we find there is little evidence for exposed water ice on the surface. Water ice, if present, must be covered with organic compounds to the depth probed by 1–5-μm photons: a few millimeters to centimeters.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009JE003369","usgsCitation":"Clark, R.N., Curchin, J.M., Barnes, J.W., Jaumann, R., Soderblom, L.A., Cruikshank, D.P., Brown, R.H., Rodriguez, S., Lunine, J., Stephan, K., Hoefen, T.M., Le Mouelic, S., Sotin, C., Baines, K.H., Buratti, B.J., and Nicholson, P.D., 2010, Detection and mapping of hydrocarbon deposits on Titan: Journal of Geophysical Research - Planets, v. 115, E10005, 28 p., https://doi.org/10.1029/2009JE003369.","productDescription":"E10005, 28 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":475651,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009je003369","text":"Publisher Index Page"},{"id":394112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Titan","volume":"115","noUsgsAuthors":false,"publicationDate":"2010-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":830520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Curchin, J. M.","contributorId":37145,"corporation":false,"usgs":true,"family":"Curchin","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":830521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, Jason W.","contributorId":147251,"corporation":false,"usgs":false,"family":"Barnes","given":"Jason","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":830522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaumann, Ralf","contributorId":147249,"corporation":false,"usgs":false,"family":"Jaumann","given":"Ralf","email":"","affiliations":[],"preferred":false,"id":830523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soderblom, Laurence A. 0000-0002-0917-853X lsoderblom@usgs.gov","orcid":"https://orcid.org/0000-0002-0917-853X","contributorId":2721,"corporation":false,"usgs":true,"family":"Soderblom","given":"Laurence","email":"lsoderblom@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":830524,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cruikshank, Dale P.","contributorId":211073,"corporation":false,"usgs":false,"family":"Cruikshank","given":"Dale","email":"","middleInitial":"P.","affiliations":[{"id":33257,"text":"NASA Ames Research Center, Moffett Field, CA","active":true,"usgs":false}],"preferred":false,"id":830525,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, Robert H.","contributorId":147246,"corporation":false,"usgs":false,"family":"Brown","given":"Robert","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":830526,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rodriguez, Sebastien","contributorId":211192,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Sebastien","email":"","affiliations":[],"preferred":false,"id":830527,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lunine, Jonathan","contributorId":29560,"corporation":false,"usgs":true,"family":"Lunine","given":"Jonathan","email":"","affiliations":[],"preferred":false,"id":830528,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stephan, Katrin","contributorId":147248,"corporation":false,"usgs":false,"family":"Stephan","given":"Katrin","email":"","affiliations":[],"preferred":false,"id":830529,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":830530,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Le Mouelic, Stephane","contributorId":147254,"corporation":false,"usgs":false,"family":"Le Mouelic","given":"Stephane","affiliations":[],"preferred":false,"id":830531,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sotin, Christophe","contributorId":53924,"corporation":false,"usgs":false,"family":"Sotin","given":"Christophe","email":"","affiliations":[],"preferred":false,"id":830532,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Baines, Kevin H.","contributorId":193922,"corporation":false,"usgs":false,"family":"Baines","given":"Kevin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":830533,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Buratti, Bonnie J.","contributorId":152192,"corporation":false,"usgs":false,"family":"Buratti","given":"Bonnie","email":"","middleInitial":"J.","affiliations":[{"id":18876,"text":"California Institute of Technology, Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":830534,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Nicholson, Philip D.","contributorId":193925,"corporation":false,"usgs":false,"family":"Nicholson","given":"Philip","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":830535,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70157549,"text":"70157549 - 2010 - Preliminary assessment of several parameters to measure and compare usefulness of the CEOS reference pseudo-invariant calibration sites","interactions":[],"lastModifiedDate":"2017-04-25T16:33:06","indexId":"70157549","displayToPublicDate":"2010-10-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Preliminary assessment of several parameters to measure and compare usefulness of the CEOS reference pseudo-invariant calibration sites","docAbstract":"Test sites are central to any future quality assurance and quality control (QA/QC) strategy. The Committee on Earth Observation Satellites (CEOS) Working Group for Calibration and Validation (WGCV) Infrared Visible Optical Sensors (IVOS) worked with collaborators around the world to establish a core set of CEOS-endorsed, globally distributed, reference standard test sites (both instrumented and pseudo-invariant) for the post-launch calibration of space-based optical imaging sensors. The pseudo-invariant calibration sites (PICS) have high reflectance and are usually made up of sand dunes with low aerosol loading and practically no vegetation. The goal of this paper is to provide preliminary assessment of \"several parameters\" than can be used on an operational basis to compare and measure usefulness of reference sites all over the world. The data from Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) and the Earth Observing-1 (EO-1) Hyperion sensors over the CEOS PICS were used to perform a preliminary assessment of several parameters, such as usable area, data availability, top-of-atmosphere (TOA) reflectance, at-sensor brightness temperature, spatial uniformity, temporal stability, spectral stability, and typical spectrum observed over the sites.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"SPIE Proceedings Volume 7826","conferenceTitle":"Sensors, Systems, and Next-Generation Satellites XIV","conferenceDate":"September 20, 2010","conferenceLocation":"Toulouse, France","language":"English","publisher":"SPIE","doi":"10.1117/12.865166","usgsCitation":"Chander, G., Angal, A., Xiong, X., Helder, D.L., Mishra, N., Choi, T., and Wu, A., 2010, Preliminary assessment of several parameters to measure and compare usefulness of the CEOS reference pseudo-invariant calibration sites, in SPIE Proceedings Volume 7826, v. 7826, Toulouse, France, September 20, 2010, 12 p., https://doi.org/10.1117/12.865166.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025073","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":308619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7826","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56067036e4b058f706e51947","contributors":{"authors":[{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":573566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angal, Amit","contributorId":67394,"corporation":false,"usgs":true,"family":"Angal","given":"Amit","email":"","affiliations":[],"preferred":false,"id":573567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiong, Xiaoxiong","contributorId":15088,"corporation":false,"usgs":true,"family":"Xiong","given":"Xiaoxiong","email":"","affiliations":[],"preferred":false,"id":573568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helder, Dennis L.","contributorId":105613,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":573569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mishra, Nischal nischal.mishra.ctr@usgs.gov","contributorId":148000,"corporation":false,"usgs":false,"family":"Mishra","given":"Nischal","email":"nischal.mishra.ctr@usgs.gov","affiliations":[],"preferred":false,"id":573570,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Choi, Taeyoung","contributorId":146955,"corporation":false,"usgs":false,"family":"Choi","given":"Taeyoung","email":"","affiliations":[],"preferred":false,"id":573571,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wu, Aisheng","contributorId":65362,"corporation":false,"usgs":true,"family":"Wu","given":"Aisheng","email":"","affiliations":[],"preferred":false,"id":573572,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70156654,"text":"70156654 - 2010 - Contamination of groundwater by the fumigants ethylene dibromide (EDB) and dibromochloropropane (DBCP) near McBee, South Carolina","interactions":[],"lastModifiedDate":"2022-11-08T18:23:44.265691","indexId":"70156654","displayToPublicDate":"2010-10-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Contamination of groundwater by the fumigants ethylene dibromide (EDB) and dibromochloropropane (DBCP) near McBee, South Carolina","docAbstract":"McBee is a small town of about 700 people located in Chesterfield County, South Carolina, in the Sandhills region of the upper Coastal Plain. The halogenated organic compounds ethylene dibromide (EDB) and dibromochloropropane (DBCP) have been detected in several public and domestic supply and irrigation wells since 2002 at concentrations above their U.S. Environmental Protection Agency Maximum Contaminant Limits of 0.05 and 0.2 microgram per liter (µg/L), respectively. The source(s) and release histories of EDB and DBCP to local groundwater are unknown, but believed to be related to their historical use between the 1940s and their ban in the late 1970s as fumigants to control nematode damage in peach orchards. However, gasoline and jet-fuel supplies also contained EDB and are an alternative source of contamination to groundwater. The detection of EDB and DBCP in water wells has raised health concerns because groundwater is the sole source of water supply in the McBee area. In April 2010, forensic, geochemical-based investigation was initiated by the U.S. Geological Survey in cooperation with the Alligator Rural Water & Sewer Company to provide additional data regarding EDB and DBCP in local groundwater. The investigation includes an assessment of the use, release, and disposal history of EDB and DBCP in the area, the distribution of EDB and DBCP concentrations in the unsaturated zone, and transport and fate in groundwater.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2010 South Carolina Water Resources Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2010 South Carolina Water Resources Conference","conferenceDate":"October 13-14 2010","conferenceLocation":"Columbia, South Carolina","language":"English","publisher":"Clemson University Center for Watershed Excellence","publisherLocation":"Columbia, South Carolina, United States","usgsCitation":"Landmeyer, J., and Campbell, B.G., 2010, Contamination of groundwater by the fumigants ethylene dibromide (EDB) and dibromochloropropane (DBCP) near McBee, South Carolina, in Proceedings of the 2010 South Carolina Water Resources Conference, Columbia, South Carolina, October 13-14 2010, 4 p.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":307436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307435,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://tigerprints.clemson.edu/scwrc/2010/"}],"country":"United States","state":"South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.62014098727916,\n 34.72249719517039\n ],\n [\n -80.62014098727916,\n 34.2708532830015\n ],\n [\n -79.87445490367524,\n 34.2708532830015\n ],\n [\n -79.87445490367524,\n 34.72249719517039\n ],\n [\n -80.62014098727916,\n 34.72249719517039\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dd91afe4b0518e354dd145","contributors":{"authors":[{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Bruce G. 0000-0003-4800-6674 bcampbel@usgs.gov","orcid":"https://orcid.org/0000-0003-4800-6674","contributorId":995,"corporation":false,"usgs":true,"family":"Campbell","given":"Bruce","email":"bcampbel@usgs.gov","middleInitial":"G.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569814,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98807,"text":"pp1780 - 2010 - Mercury in Indiana watersheds: Retrospective for 2001–2006","interactions":[],"lastModifiedDate":"2022-02-22T20:50:54.103232","indexId":"pp1780","displayToPublicDate":"2010-10-13T00:00:00","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":"1780","title":"Mercury in Indiana watersheds: Retrospective for 2001–2006","docAbstract":"Information about total mercury and methylmercury concentrations in water samples and mercury concentrations in fish-tissue samples was summarized for 26 watersheds in Indiana that drain most of the land area of the State. Mercury levels were interpreted with information on streamflow, atmospheric mercury deposition, mercury emissions to the atmosphere, mercury in wastewater, and landscape characteristics.
Unfiltered total mercury concentrations in 411 water samples from streams in the 26 watersheds had a median of 2.32 nanograms per liter (ng/L) and a maximum of 28.2 ng/L. When these concentrations were compared to Indiana water-quality criteria for mercury, 5.4 percent exceeded the 12-ng/L chronic-aquatic criterion, 59 percent exceeded the 1.8-ng/L Great Lakes human-health criterion, and 72.5 percent exceeded the 1.3-ng/L Great Lakes wildlife criterion. Mercury concentrations in water were related to streamflow, and the highest mercury concentrations were associated with the highest streamflows. On average, 67 percent of total mercury in streams was in a particulate form, and particulate mercury concentrations were significantly lower downstream from dams than at monitoring stations not affected by dams.
Methylmercury is the organic fraction of total mercury and is the form of mercury that accumulates and magnifies in food chains. It is made from inorganic mercury by natural processes under specific conditions. Unfiltered methylmercury concentrations in 411 water samples had a median of 0.10 ng/L and a maximum of 0.66 ng/L. Methylmercury was a median 3.7 percent and maximum 64.8 percent of the total mercury in 252 samples for which methylmercury was reported. The percentages of methylmercury in water samples were significantly higher downstream from dams than at other monitoring stations. Nearly all of the total mercury detected in fish tissue was assumed to be methylmercury.
Fish-tissue samples from the 26 watersheds had wet-weight mercury concentrations that exceeded the 0.3 milligram per kilogram (mg/kg) U.S. Environmental Protection Agency (USEPA) methylmercury criterion in 12.4 percent of the 1,731 samples. The median wet-weight concentration in the fish-tissue samples was 0.13 mg/kg, and the maximum was 1.07 mg/kg. A coarse-scale analysis of all fish-tissue data in each watershed and a fine-scale analysis of data within 5 kilometers (km) of the downstream end of each watershed showed similar results overall. Mercury concentrations in fish-tissue samples were highest in the White River watershed in southern Indiana and the Fall Creek watershed in central Indiana. In fish-tissue samples within 5 km of the downstream end of a watershed, the USEPA methylmercury criterion was exceeded by 45 percent of mercury concentrations from the White River watershed and 40 percent of the mercury concentration from the Fall Creek watershed. A clear relation between mercury concentrations in fish-tissue samples and methylmercury concentrations in water was not observed in the data from watersheds in Indiana.
Average annual atmospheric mercury wet-deposition rates were mapped with data at 156 locations in Indiana and four surrounding states for 2001–2006. These maps revealed an area in southeastern Indiana with high mercury wet-deposition rates—from 15 to 19 micrograms per square meter per year (µg/m2/yr). Annual atmospheric mercury dry-deposition rates were estimated with an inferential method by using concentrations of mercury species in air samples at three locations in Indiana. Mercury dry deposition-rates were 5.6 to 13.6 µg/m2/yr and were 0.49 to 1.4 times mercury wet-deposition rates.
Total mercury concentrations were detected in 96 percent of 402 samples of wastewater effluent from 50 publicly owned treatment works in the watersheds; the median concentration was 3.0 ng/L, and the maximum was 88 ng/L. When these concentrations were compared to Indiana water-quality criteria for mercury, 12 percent exceeded the 12-ng/L chronic-aquatic criterion, 68 percent exceeded the 1.8-ng/L Great Lakes human-health criterion, and 81 percent exceeded the 1.3-ng/L Great Lakes wildlife criterion.
Annual stream mercury yields were calculated with a model by using the mercury concentrations in water samples and daily average streamflows for 2002–2006, normalized to the watershed drainage areas. The average annual total mercury stream yields ranged from 0.73 to 45.2 µg/m2/yr and were highest in two White River watersheds in central Indiana. Median methylmercury stream yield was 1.9 percent of the median total mercury stream yield.
In most watersheds, average annual stream yields of total mercury were a fraction of the combined average annual atmospheric mercury wet-deposition and estimated annual dry-deposition loading rates, indicating that much of the stream mercury was attributable to atmospheric deposition. In two watersheds, average annual stream yields of total mercury were approximately twice the atmospheric mercury loading, indicating that some of the stream mercury apparently was not attributable to atmospheric deposition. Rather, some of the stream mercury yield potentially was contributed by mercury in wastewater discharges.
Land-cover type corresponded with the mercury levels in three watersheds: (1) A watershed of the White River in central Indiana with a high percentage of urban land cover had some of the highest total mercury concentrations and stream mercury yields. The urban land cover and numerous permitted wastewater outfalls with mercury in treated effluent potentially contributed mercury to this watershed. (2) A monitoring station on the Maumee River in northeastern Indiana, downstream from a large area of urban land cover, recorded the highest stream mercury concentrations. The urban land cover and mercury detected in treated effluent potentially contributed to the high mercury concentrations at this station. (3) A watershed of the Patoka River in southern Indiana with a high percentage of forest land cover had the highest atmospheric mercury dry-deposition rate. The high dry-deposition rate from the forest land cover potentially contributed to the high mercury concentrations in this watershed.
From a retrospective view, mercury concentrations in Indiana watersheds routinely exceeded criteria protective of humans and commonly exceeded criteria protective of wildlife. Atmospheric mercury wet deposition was a predominant factor, but not the single factor, affecting mercury in Indiana watersheds. Mercury in wastewater discharges and atmospheric mercury dry deposition apparently contributed a substantial part of the mercury yield from some watersheds. Dams and impoundments increased the percentage of methylmercury in downstream waters. Long-term monitoring of mercury in wet and dry atmospheric deposition, and in streams and reservoirs, coordinated with monitoring of mercury in fish, will be needed to detect whether mercury levels in Indiana watersheds change in the future.
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ntbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":1955,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"ntbaker@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":306567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Egler, Amanda L. 0000-0001-5621-6810","orcid":"https://orcid.org/0000-0001-5621-6810","contributorId":103221,"corporation":false,"usgs":true,"family":"Egler","given":"Amanda","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":306571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lampe, David C. 0000-0002-8904-0337 dclampe@usgs.gov","orcid":"https://orcid.org/0000-0002-8904-0337","contributorId":2441,"corporation":false,"usgs":true,"family":"Lampe","given":"David","email":"dclampe@usgs.gov","middleInitial":"C.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306570,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98805,"text":"sir20105109 - 2010 - Regional groundwater-flow model of the Lake Michigan Basin in support of Great Lakes Basin water availability and use studies","interactions":[],"lastModifiedDate":"2022-10-17T21:05:34.176595","indexId":"sir20105109","displayToPublicDate":"2010-10-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5109","title":"Regional groundwater-flow model of the Lake Michigan Basin in support of Great Lakes Basin water availability and use studies","docAbstract":"A regional groundwater-flow model of the Lake Michigan Basin and surrounding areas has been developed in support of the Great Lakes Basin Pilot project under the U.S. Geological Survey's National Water Availability and Use Program. The transient 2-million-cell model incorporates multiple aquifers and pumping centers that create water-level drawdown that extends into deep saline waters. The 20-layer model simulates the exchange between a dense surface-water network and heterogeneous glacial deposits overlying stratified bedrock of the Wisconsin/Kankakee Arches and Michigan Basin in the Lower and Upper Peninsulas of Michigan; eastern Wisconsin; northern Indiana; and northeastern Illinois. The model is used to quantify changes in the groundwater system in response to pumping and variations in recharge from 1864 to 2005. Model results quantify the sources of water to major pumping centers, illustrate the dynamics of the groundwater system, and yield measures of water availability useful for water-resources management in the region.\r\n\r\nThis report is a complete description of the methods and datasets used to develop the regional model, the underlying conceptual model, and model inputs, including specified values of material properties and the assignment of external and internal boundary conditions. The report also documents the application of the SEAWAT-2000 program for variable-density flow; it details the approach, advanced methods, and results associated with calibration through nonlinear regression using the PEST program; presents the water-level, drawdown, and groundwater flows for various geographic subregions and aquifer systems; and provides analyses of the effects of pumping from shallow and deep wells on sources of water to wells, the migration of groundwater divides, and direct and indirect groundwater discharge to Lake Michigan. The report considers the role of unconfined conditions at the regional scale as well as the influence of salinity on groundwater flow. Lastly, it describes several categories of limitations and discusses ways of extending the regional model to address issues at the local scale.\r\n\r\nResults of the simulations portray a regional groundwater-flow system that, over time, has largely maintained its natural predevelopment configuration but that locally has been strongly affected by well withdrawals. The quantity of rainfall in the Lake Michigan Basin and adjacent areas supports a dense surface-water network and recharge rates consistent with generally shallow water tables and predominantly shallow groundwater flow. At the regional scale, pumping has not caused major modifications of the shallow flow system, but it has resulted in decreases in base flow to streams and in direct discharge to Lake Michigan (about 2 percent of the groundwater discharged and about 0.5 cubic foot per second per mile of shoreline).\r\n\r\nOn the other hand, well withdrawals have caused major reversals in regional flow patterns around pumping centers in deep, confined aquifers - most noticeably in the Cambrian-Ordovician aquifer system on the west side of Lake Michigan near the cities of Green Bay and Milwaukee in eastern Wisconsin, and around Chicago in northeastern Illinois, as well as in some shallow bedrock aquifers (for example, in the Marshall aquifer near Lansing, Mich.). The reversals in flow have been accompanied by large drawdowns with consequent local decrease in storage. On the west side of Lake Michigan, groundwater withdrawals have caused appreciable migration of the deep groundwater divides. Before the advent of pumping, the deep Lake Michigan groundwater-basin boundaries extended west of the Lake Michigan surface-water basin boundary, in some places by tens of miles. Over time, the pumping centers have replaced Lake Michigan as the regional sink for the deep flow system.\r\n\r\nThe regional model is intended to support the framework pilot study of water availability and use for the Great Lakes Basin (Reeves, in press).","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105109","collaboration":"National Water Availability and Use Pilot Program","usgsCitation":"Feinstein, D.T., Hunt, R.J., and Reeves, H.W., 2010, Regional groundwater-flow model of the Lake Michigan Basin in support of Great Lakes Basin water availability and use studies: U.S. Geological Survey Scientific Investigations Report 2010-5109, Report: xix, 379 p.; 9 Appendices, https://doi.org/10.3133/sir20105109.","productDescription":"Report: xix, 379 p.; 9 Appendices","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":448,"text":"National Water Availability and Use Program","active":false,"usgs":true}],"links":[{"id":126010,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5109.jpg"},{"id":14217,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5109/","linkFileType":{"id":5,"text":"html"}},{"id":408437,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94378.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois, Indiana, Michigan, Wisconsin","otherGeospatial":"Lake Michigan Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90,\n 41.25\n ],\n [\n -84,\n 41.25\n ],\n [\n -84,\n 46.6167\n ],\n [\n -90,\n 46.6167\n ],\n [\n -90,\n 41.25\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c5de","contributors":{"authors":[{"text":"Feinstein, D. T.","contributorId":47328,"corporation":false,"usgs":true,"family":"Feinstein","given":"D.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":306561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, R. J.","contributorId":40164,"corporation":false,"usgs":true,"family":"Hunt","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":306560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, H. W.","contributorId":53739,"corporation":false,"usgs":true,"family":"Reeves","given":"H.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":306562,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98806,"text":"ds498 - 2010 - Rocky Mountain snowpack physical and chemical data for selected sites, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ds498","displayToPublicDate":"2010-10-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"498","title":"Rocky Mountain snowpack physical and chemical data for selected sites, 2009","docAbstract":"The Rocky Mountain Snowpack program established a network of snowpack-sampling sites in the Rocky Mountain region from New Mexico to Montana to monitor the chemical content of snow and to understand the effects of regional atmospheric deposition. The U.S. Geological Survey, in cooperation with the National Park Service; the U.S. Department of Agriculture Forest Service; the Colorado Department of Public Health and Environment; Teton County, Wyoming; and others, collected and analyzed snowpack samples annually for 48 or more sites in the Rocky Mountain region during 1993-2009. Sixty-three snowpack-sampling sites were sampled once each in 2009 and data are presented in this report. Data include acid-neutralization capacity, specific conductance, pH, hydrogen ion concentrations, dissolved concentrations of major constituents (calcium, magnesium, sodium, potassium, ammonium, chloride, sulfate, and nitrate), dissolved organic carbon concentrations, snow-water equivalent, snow depth, total mercury concentrations, and ionic charge balance. Quality-assurance data for field and laboratory blanks and field replicates for 2009 also are included. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds498","collaboration":"In cooperation with the National Park Service, U.S. Department of Agriculture Forest Service, \r\nColorado Department of Public Health and Environment, and Teton County, Wyoming","usgsCitation":"Ingersoll, G.P., Mast, M.A., Swank, J.M., and Campbell, C.D., 2010, Rocky Mountain snowpack physical and chemical data for selected sites, 2009: U.S. Geological Survey Data Series 498, iv, 9 p., https://doi.org/10.3133/ds498.","productDescription":"iv, 9 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":126736,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_498.jpg"},{"id":14218,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/498/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,36 ], [ -120,50 ], [ -103,50 ], [ -103,36 ], [ -120,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602691","contributors":{"authors":[{"text":"Ingersoll, George P. gpingers@usgs.gov","contributorId":1469,"corporation":false,"usgs":true,"family":"Ingersoll","given":"George","email":"gpingers@usgs.gov","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swank, James M.","contributorId":9608,"corporation":false,"usgs":true,"family":"Swank","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":306565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Chelsea D.","contributorId":95834,"corporation":false,"usgs":true,"family":"Campbell","given":"Chelsea","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":306566,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043115,"text":"70043115 - 2010 - Using Landsat satellite data to support pesticide exposure assessment in California","interactions":[],"lastModifiedDate":"2013-05-28T11:33:18","indexId":"70043115","displayToPublicDate":"2010-10-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2050,"text":"International Journal of Health Geographics","active":true,"publicationSubtype":{"id":10}},"title":"Using Landsat satellite data to support pesticide exposure assessment in California","docAbstract":"Background\nThe recent U.S. Geological Survey policy offering Landsat satellite data at no cost provides researchers new opportunities to explore relationships between environment and health. The purpose of this study was to examine the potential for using Landsat satellite data to support pesticide exposure assessment in California.\n\nMethods and Results\nWe collected a dense time series of 24 Landsat 5 and 7 images spanning the year 2000 for an agricultural region in Fresno County. We intersected the Landsat time series with the California Department of Water Resources (CDWR) land use map and selected field samples to define the phenological characteristics of 17 major crop types or crop groups. We found the frequent overpass of Landsat enabled detection of crop field conditions (e.g., bare soil, vegetated) over most of the year. However, images were limited during the winter months due to cloud cover. Many samples designated as single-cropped in the CDWR map had phenological patterns that represented multi-cropped or non-cropped fields, indicating they may have been misclassified.\n\nConclusions\nWe found the combination of Landsat 5 and 7 image data would clearly benefit pesticide exposure assessment in this region by 1) providing information on crop field conditions at or near the time when pesticides are applied, and 2) providing information for validating the CDWR map. The Landsat image time-series was useful for identifying idle, single-, and multi-cropped fields. Landsat data will be limited during the winter months due to cloud cover, and for years prior to the Landsat 7 launch (1999) when only one satellite was operational at any given time. We suggest additional research to determine the feasibility of integrating CDWR land use maps and Landsat data to derive crop maps in locations and time periods where maps are not available, which will allow for substantial improvements to chemical exposure estimation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Health Geographics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1186/1476-072X-9-46","usgsCitation":"Maxwell, S.K., Airola, M., and Nuckols, J.R., 2010, Using Landsat satellite data to support pesticide exposure assessment in California: International Journal of Health Geographics, v. 9, no. 46, 14 p., https://doi.org/10.1186/1476-072X-9-46.","productDescription":"14 p.","ipdsId":"IP-015841","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1476-072x-9-46","text":"Publisher Index Page"},{"id":272887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267002,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1476-072X-9-46"}],"country":"United States","state":"California","county":"Fresno","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.92,35.91 ], [ -120.92,37.58 ], [ -118.36,37.58 ], [ -118.36,35.91 ], [ -120.92,35.91 ] ] ] } } ] }","volume":"9","issue":"46","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a5d1f0e4b0605bc571f029","contributors":{"authors":[{"text":"Maxwell, Susan K.","contributorId":90198,"corporation":false,"usgs":true,"family":"Maxwell","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":472986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Airola, Matthew","contributorId":51630,"corporation":false,"usgs":true,"family":"Airola","given":"Matthew","affiliations":[],"preferred":false,"id":472984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nuckols, John R.","contributorId":87037,"corporation":false,"usgs":true,"family":"Nuckols","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":472985,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98804,"text":"ofr20101103 - 2010 - Groundwater level and specific conductance monitoring at Marine Corps Base, Camp Lejeune, Onslow County, North Carolina, 2007-2008","interactions":[],"lastModifiedDate":"2016-12-08T14:02:52","indexId":"ofr20101103","displayToPublicDate":"2010-10-09T00:00:00","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":"2010-1103","title":"Groundwater level and specific conductance monitoring at Marine Corps Base, Camp Lejeune, Onslow County, North Carolina, 2007-2008","docAbstract":"The U.S. Geological Survey, in cooperation with the Marine Corps Base, Camp Lejeune, monitored water-resources conditions in the surficial, Castle Hayne, Peedee, and Black Creek aquifers in Onslow County, North Carolina, from November 2007 through September 2008. To comply with North Carolina Central Coastal Plain Capacity Use Area regulations, large-volume water suppliers in Onslow County must reduce their dependency on the Black Creek aquifer as a water-supply source and have, instead, proposed using the Castle Hayne aquifer as an alternative water-supply source. The Marine Corps Base, Camp Lejeune, uses water obtained from the unregulated surficial and Castle Hayne aquifers for drinking-water supply. \r\n\r\nWater-level data were collected and field measurements of physical properties were made at 19 wells at 8 locations spanning the Marine Corps Base, Camp Lejeune. These wells were instrumented with near real-time monitoring equipment to collect hourly measurements of water level. Additionally, specific conductance and water temperature were measured hourly in 16 of the 19 wells. Graphs are presented relating altitude of groundwater level to water temperature and specific conductance measurements collected during the study, and the relative vertical gradients between aquifers are discussed. The period-of-record normal (25th to 75th percentile) monthly mean groundwater levels at two well clusters were compared to median monthly mean groundwater levels at these same well clusters for 2008 to determine groundwater-resources conditions. In 2008, water levels were below normal in the 3 wells at one of the well clusters and were normal in 4 wells at the other cluster.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101103","collaboration":"Prepared in cooperation with the Department of the Navy, U.S. Marine Corps","usgsCitation":"McSwain, K., 2010, Groundwater level and specific conductance monitoring at Marine Corps Base, Camp Lejeune, Onslow County, North Carolina, 2007-2008: U.S. Geological Survey Open-File Report 2010-1103, iv, 17 p.; Appendices, https://doi.org/10.3133/ofr20101103.","productDescription":"iv, 17 p.; Appendices","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":126782,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1103.jpg"},{"id":14216,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1103/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","county":"Onslow County","otherGeospatial":" Marine Corps Base, Camp Lejeune","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.66666666666667,34 ], [ -77.66666666666667,35 ], [ -77,35 ], [ -77,34 ], [ -77.66666666666667,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db659401","contributors":{"authors":[{"text":"McSwain, Kristen Bukowski","contributorId":104458,"corporation":false,"usgs":true,"family":"McSwain","given":"Kristen Bukowski","affiliations":[],"preferred":false,"id":306559,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98803,"text":"ofr20101252 - 2010 - Selenium concentrations and stable isotopic compositions of carbon and nitrogen in the benthic clam Corbula amurensis from northern San Francisco Bay, California: May 1995–February 2010","interactions":[],"lastModifiedDate":"2021-10-06T18:39:45.38189","indexId":"ofr20101252","displayToPublicDate":"2010-10-08T00:00:00","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":"2010-1252","displayTitle":"Selenium concentrations and stable isotopic compositions of carbon and nitrogen in the benthic clam Corbula amurensis from northern San Francisco Bay, California: May 1995–February 2010","title":"Selenium concentrations and stable isotopic compositions of carbon and nitrogen in the benthic clam Corbula amurensis from northern San Francisco Bay, California: May 1995–February 2010","docAbstract":"The clam-based food webs of San Francisco Bay, California efficiently bioaccumlate selenium and thus provide pathways for exposure to predators important to the estuary. This study documents changes in monthly selenium concentrations for the clam Corbula amurensis, a keystone species of the estuary, at five locations in northern San Francisco Bay from 1995 through 2010. Samples were collected from designated U.S. Geological Survey stations and prepared and analyzed by U.S. Geological Survey methods. Stable isotopes of carbon and nitrogen in soft tissues of clams also were measured as an indicator of sources of selenium for the clams. These monitoring data indicate that clam selenium concentrations ranged from a low of 2 to a high of 22 micrograms per gram dry weight with strong spatial and seasonal variation over the period of study.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101252","usgsCitation":"Kleckner, A.E., Stewart, A., Elrick, K.A., and Luoma, S.N., 2010, Selenium concentrations and stable isotopic compositions of carbon and nitrogen in the benthic clam Corbula amurensis from northern San Francisco Bay, California: May 1995–February 2010: U.S. Geological Survey Open-File Report 2010-1252, iv, 6 p., https://doi.org/10.3133/ofr20101252.","productDescription":"iv, 6 p.","additionalOnlineFiles":"N","temporalStart":"1995-05-01","temporalEnd":"2010-02-28","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":203378,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14215,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1252/","linkFileType":{"id":5,"text":"html"}},{"id":374459,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1252/pdf/ofr20101252.pdf"},{"id":390279,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94377.htm"}],"country":"United States","state":"California","otherGeospatial":"Northern San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5,37 ], [ -122.5,39 ], [ -121.5,39 ], [ -121.5,37 ], [ -122.5,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fbe4b07f02db5f4974","contributors":{"authors":[{"text":"Kleckner, Amy E. kleckner@usgs.gov","contributorId":4258,"corporation":false,"usgs":true,"family":"Kleckner","given":"Amy","email":"kleckner@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":306557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, A. Robin 0000-0003-2918-546X","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":82436,"corporation":false,"usgs":true,"family":"Stewart","given":"A. Robin","affiliations":[],"preferred":false,"id":306558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elrick, Kent A.","contributorId":78415,"corporation":false,"usgs":true,"family":"Elrick","given":"Kent","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":788466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":306556,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98802,"text":"sim3135 - 2010 - Flood-inundation maps for a 15-mile reach of the Kalamazoo River from Marshall to Battle Creek, Michigan","interactions":[],"lastModifiedDate":"2022-02-16T22:05:13.768771","indexId":"sim3135","displayToPublicDate":"2010-10-08T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3135","title":"Flood-inundation maps for a 15-mile reach of the Kalamazoo River from Marshall to Battle Creek, Michigan","docAbstract":"Digital flood-inundation maps for a 15-mile reach of the Kalamazoo River from Marshall to Battle Creek, Michigan, were created by the U.S. Geological Survey (USGS) in cooperation with the U.S. Environmental Protection Agency to help guide remediation efforts following a crude-oil spill on July 25, 2010. The spill happened on Talmadge Creek, a tributary of the Kalamazoo River near Marshall, during a flood. The floodwaters transported the spilled oil down the Kalamazoo River and deposited oil in impoundments and on the surfaces of islands and flood plains. Six flood-inundation maps were constructed corresponding to the flood stage (884.09 feet) coincident with the oil spill on July 25, 2010, as well as for floods with annual exceedance probabilities of 0.2, 1, 2, 4, and 10 percent. Streamflow at the USGS streamgage at Marshall, Michigan (USGS site ID 04103500), was used to calculate the flood probabilities. From August 13 to 18, 2010, 35 channel cross sections, 17 bridges and 1 dam were surveyed. These data were used to construct a water-surface profile for the July 25, 2010, flood by use of a one-dimensional step-backwater model. The calibrated model was used to estimate water-surface profiles for other flood probabilities. The resulting six flood-inundation maps were created with a geographic information system by combining flood profiles with a 1.2-foot vertical and 10-foot horizontal resolution digital elevation model derived from Light Detection and Ranging data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3135","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Region V","usgsCitation":"Hoard, C.J., Fowler, K.K., Kim, M.H., Menke, C., Morlock, S.E., Peppler, M., Rachol, C., and Whitehead, M.T., 2010, Flood-inundation maps for a 15-mile reach of the Kalamazoo River from Marshall to Battle Creek, Michigan: U.S. Geological Survey Scientific Investigations Map 3135, Pamphlet: iv, 6 p.; 6 Sheets: 22 x 17 inches; Downloads Directory, https://doi.org/10.3133/sim3135.","productDescription":"Pamphlet: iv, 6 p.; 6 Sheets: 22 x 17 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":126159,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3135.jpg"},{"id":396056,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94375.htm"},{"id":14214,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3135/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Michigan","city":"Battle Creek, Marshall","otherGeospatial":"Kalamazoo River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.21064758300781,\n 42.24478535602799\n ],\n [\n -85.21064758300781,\n 42.32961592295752\n ],\n [\n -84.95590209960938,\n 42.32961592295752\n ],\n [\n -84.95590209960938,\n 42.24478535602799\n ],\n [\n -85.21064758300781,\n 42.24478535602799\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e7046","contributors":{"authors":[{"text":"Hoard, C. J.","contributorId":37436,"corporation":false,"usgs":true,"family":"Hoard","given":"C.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":306550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fowler, K. K. 0000-0002-0107-3848","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":40633,"corporation":false,"usgs":true,"family":"Fowler","given":"K.","middleInitial":"K.","affiliations":[],"preferred":false,"id":306551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, M. H.","contributorId":68868,"corporation":false,"usgs":true,"family":"Kim","given":"M.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":306554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Menke, C. D.","contributorId":70524,"corporation":false,"usgs":true,"family":"Menke","given":"C. D.","affiliations":[],"preferred":false,"id":306555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morlock, S. E.","contributorId":31437,"corporation":false,"usgs":true,"family":"Morlock","given":"S.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":306549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peppler, M. C.","contributorId":55565,"corporation":false,"usgs":true,"family":"Peppler","given":"M. C.","affiliations":[],"preferred":false,"id":306552,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rachol, C. M. 0000-0001-9984-3435","orcid":"https://orcid.org/0000-0001-9984-3435","contributorId":59085,"corporation":false,"usgs":true,"family":"Rachol","given":"C. M.","affiliations":[],"preferred":false,"id":306553,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whitehead, M. T.","contributorId":31092,"corporation":false,"usgs":true,"family":"Whitehead","given":"M.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":306548,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":98798,"text":"sir20105083 - 2010 - Occurrence of antibiotic compounds in source water and finished drinking water from the upper Scioto River Basin, Ohio, 2005-6","interactions":[],"lastModifiedDate":"2019-08-09T11:26:02","indexId":"sir20105083","displayToPublicDate":"2010-10-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5083","title":"Occurrence of antibiotic compounds in source water and finished drinking water from the upper Scioto River Basin, Ohio, 2005-6","docAbstract":"The occurrence of antibiotics in surface water and groundwater in urban basins has become a topic of increasing interest in recent years. Little is known about the occurrence, fate, or transport of these compounds and the possible health effects in humans and aquatic life. The U.S. Geological Survey, in cooperation with the City of Columbus, Division of Power and Water, did a study to provide a synoptic view of the occurrence of antibiotics in source and finished waters in the upper Scioto River Basin.\r\n\r\nWater samples were collected seasonally-winter (December 2005), spring (May 2006), summer (August 2006) and fall (October 2006)-at five surface-water sites, one groundwater site, and three water-treatment plants (WTPs). Within the upper Scioto River Basin, sampling at each WTP involved two sampling sites: a source-water intake site and a finished-water site.\r\n\r\nOne or more antibiotics were detected at 11 of the 12 sampling sites. Of the 49 targeted antibiotic compounds, 12 (24 percent) were detected at least one time for a total of 61 detections overall. These compounds were azithromycin, tylosin, erythromycin-H2O, erythromycin, roxithromycin, ciprofloxacin, ofloxacin, sulfamethazine, sulfamethoxazole, iso-chlorotetracycline, lincomycin, and trimethoprim. Detection results were at low levels, with an overall median of 0.014 (u or mu)g/L. Hap Cremean WTP had the fewest detections, with two source-water detections of sulfamethoxazole and azithromycin and no detections in the finished water. Of the total of 61 detections, 31 were in the winter sample run. Sulfamethoxazale and azithromycin detections represent 41 percent of all antibiotic detections. Azithromycin was detected only in the winter sample. Some antibiotics, such as those in the quinoline and tetracycline families, dissipate more quickly in warm water, which may explain why they were detected in the cool months (winter, spring, and fall) and not in the summer. Antibiotic data collected during this study were compared to antibiotic data collected in previous national, regional, and local studies. Many of the same antibiotic compounds detected in the upper Scioto River Basin also were detected in those investigations. \r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105083","collaboration":"In cooperation with the City of Columbus, Ohio","usgsCitation":"Finnegan, D., Simonson, L.A., and Meyer, M.T., 2010, Occurrence of antibiotic compounds in source water and finished drinking water from the upper Scioto River Basin, Ohio, 2005-6: U.S. Geological Survey Scientific Investigations Report 2010-5083, vi, 16 p., https://doi.org/10.3133/sir20105083.","productDescription":"vi, 16 p.","additionalOnlineFiles":"Y","temporalStart":"2005-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":126158,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5083.jpg"},{"id":14209,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5083/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Ohio","otherGeospatial":"Scioto River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.759521484375,\n 39.609920257000795\n ],\n [\n -82.64190673828125,\n 39.609920257000795\n ],\n [\n -82.64190673828125,\n 40.93011520598305\n ],\n [\n -84.759521484375,\n 40.93011520598305\n ],\n [\n -84.759521484375,\n 39.609920257000795\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af5e4b07f02db6924f8","contributors":{"authors":[{"text":"Finnegan, Dennis P. dpfinneg@usgs.gov","contributorId":2045,"corporation":false,"usgs":true,"family":"Finnegan","given":"Dennis P.","email":"dpfinneg@usgs.gov","affiliations":[],"preferred":true,"id":306505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simonson, Laura A.","contributorId":63110,"corporation":false,"usgs":true,"family":"Simonson","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":306506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":306504,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98801,"text":"ofr20101231 - 2010 - U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative-2009 Annual Report","interactions":[],"lastModifiedDate":"2025-05-15T14:03:47.167481","indexId":"ofr20101231","displayToPublicDate":"2010-10-07T00:00:00","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":"2010-1231","title":"U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative-2009 Annual Report","docAbstract":"This is the second report produced by the U.S. Geological Survey (USGS) for the Wyoming Landscape Conservation Initiative (WLCI) to detail annual work activities. The first report described work activities for 2007 and 2008; this report covers work activities conducted in 2009. Important differences between the two reports are that (1) this report does not lump all the Effectiveness Monitoring activities together as last year's report did, which will allow WLCI partners and other readers to fully appreciate the scope and accomplishments of those activities, and (2) this report does not include a comprehensive appendix of the background details for each work activity. In 2009, there were 29 ongoing or completed activities, and there were 5 new work activities conducted under the 5 original major multi-disciplinary science and technical assistance activities: (1) Baseline Synthesis; (2) Targeted Monitoring and Research; (3) Data and Information Management; (4) Integration and Coordination; and (5) Decisionmaking and Evaluation. New work included (1) developing a soil-quality index, (2) developing methods for assessing levels of and relationships between mercury and soil organic matter, and (3) ascertaining element source, mobility, and fate. Additionally, (4) remotely sensed imagery was used to assess vegetation as an indicator of soil condition and geology, and (5) an Integrated Assessment (IA) was initiated to synthesize what has been learned about WLCI systems to date, and to develop associated decision tools, maps, and a comprehensive report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101231","usgsCitation":"Bowen, Z.H., Aldridge, C.L., Anderson, P.J., Assal, T.J., Biewick, L.R., Blecker, S.W., Bristol, R.S., Carr, N.B., Chalfoun, A.D., Chong, G.W., Diffendorfer, J., Fedy, B., Garman, S.L., Germaine, S.S., Grauch, R.I., Holloway, J.M., Homer, C.G., Kauffman, M., Keinath, D., Latysh, N., Manier, D.J., McDougal, R.R., Melcher, C.P., Miller, K.A., Montag, J., Nutt, C.J., Potter, C.J., Sawyer, H., Schell, S., Shafer, S.L., Smith, D., Stillings, L., Tuttle, M., and Wilson, A.B., 2010, U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative-2009 Annual Report: U.S. Geological Survey Open-File Report 2010-1231, ix, 105 p., https://doi.org/10.3133/ofr20101231.","productDescription":"ix, 105 p.","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":126155,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/ofr_2010_1231.jpg"},{"id":14212,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1231/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,41 ], [ -111,43.5 ], [ -106.5,43.5 ], [ -106.5,41 ], [ -111,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd48ffe4b0b290850eecae","contributors":{"authors":[{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":306538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":306532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":306540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Assal, Timothy J. 0000-0001-6342-2954 assalt@usgs.gov","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":2203,"corporation":false,"usgs":true,"family":"Assal","given":"Timothy","email":"assalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":306543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biewick, Laura R. 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Empirical models derived from statistical evaluation of data collected from recently burned basins throughout the intermountain western United States were used to estimate the probability of debris-flow occurrence and volumes of debris flows for selected drainage basins. Data for the models include burn severity, rainfall total and intensity for a 25-year-recurrence, 1-hour-duration rainstorm, and topographic and soil property characteristics. \r\n\r\nSeveral of the selected drainage basins in Fourmile Creek and Gold Run were identified as having probabilities of debris-flow occurrence greater than 60 percent, and many more with probabilities greater than 45 percent, in response to the 25-year recurrence, 1-hour rainfall. None of the Fourmile Canyon Creek drainage basins selected had probabilities greater than 45 percent. Throughout the Gold Run area and the Fourmile Creek area upstream from Gold Run, the higher probabilities tend to be in the basins with southerly aspects (southeast, south, and southwest slopes). Many basins along the perimeter of the fire area were identified as having low probability of occurrence of debris flow. Volume of debris flows predicted from drainage basins with probabilities of occurrence greater than 60 percent ranged from 1,200 to 9,400 m3. The predicted moderately high probabilities and some of the larger volumes responses predicted for the modeled storm indicate a potential for substantial debris-flow effects to buildings, roads, bridges, culverts, and reservoirs located both within these drainages and immediately downstream from the burned area. However, even small debris flows that affect structures at the basin outlets could cause considerable damage. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101244","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture Forest Service Arapahoe and Roosevelt National Forests and Boulder County","usgsCitation":"Ruddy, B.C., Stevens, M.R., and Verdin, K., 2010, Probability and volume of potential postwildfire debris flows in the 2010 Fourmile burn area, Boulder County, Colorado: U.S. Geological Survey Open-File Report 2010-1244, iv, 5 p.; 2 Plate Downloads; Plate 1: 36 inches x 24 inches; Plate 2: 36 inches x 24 inches, https://doi.org/10.3133/ofr20101244.","productDescription":"iv, 5 p.; 2 Plate Downloads; Plate 1: 36 inches x 24 inches; Plate 2: 36 inches x 24 inches","additionalOnlineFiles":"Y","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":126781,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1244.jpg"},{"id":14208,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1244/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6e15e4b0b290851058ab","contributors":{"authors":[{"text":"Ruddy, Barbara C. bcruddy@usgs.gov","contributorId":4163,"corporation":false,"usgs":true,"family":"Ruddy","given":"Barbara","email":"bcruddy@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":306502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Michael R. 0000-0002-9476-6335 mrsteven@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6335","contributorId":769,"corporation":false,"usgs":true,"family":"Stevens","given":"Michael","email":"mrsteven@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdin, Kristine 0000-0002-6114-4660","orcid":"https://orcid.org/0000-0002-6114-4660","contributorId":22067,"corporation":false,"usgs":true,"family":"Verdin","given":"Kristine","affiliations":[],"preferred":false,"id":306503,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168480,"text":"70168480 - 2010 - Individual growth and reproductive behavior in a newly established population of northern snakehead (Channa argus), Potomac River, USA","interactions":[],"lastModifiedDate":"2016-02-16T13:45:40","indexId":"70168480","displayToPublicDate":"2010-10-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Individual growth and reproductive behavior in a newly established population of northern snakehead (Channa argus), Potomac River, USA","docAbstract":"Northern snakehead (Channa argus) were first found in the Potomac River in 2004. In 2007, we documented feeding and reproductive behavior to better understand how this species is performing in this novel environment. From April to October, we used electrofishing surveys to collect data on growth, condition, and gonad weight of adult fish. Growth rates of young were measured on a daily basis for several weeks. Mean length-at-age for Potomac River northern snakehead was lower than for fish from China, Russia, and Uzbekistan. Fish condition was above average during spring and fall, but below average in summer. Below-average condition corresponded to periods of high spawning activity. Gonadosomatic index indicated that females began spawning at the end of April and continued through August. Peak spawning occurred at the beginning of June when average temperatures reached 26°C. Larval fish growth rate, after the transition to exogenous feeding, was 2.3 (SD ± 0.7) mm (total length, TL) per day. Although Potomac River northern snakehead exhibited lower overall growth rates when compared to other populations, these fish demonstrated plasticity in timing of reproduction and rapid larval growth rates. Such life history characteristics likely contribute to the success of northern snakehead in its new environment and limit managers’ options for significant control of its invasion.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-010-0509-z","usgsCitation":"Landis, A.M., Lapointe, N.W., and Angermeier, P.L., 2010, Individual growth and reproductive behavior in a newly established population of northern snakehead (Channa argus), Potomac River, USA: Hydrobiologia, v. 661, no. 1, p. 123-131, https://doi.org/10.1007/s10750-010-0509-z.","productDescription":"9 p.","startPage":"123","endPage":"131","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023591","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":318079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Dogue Creek Bay, Potomac River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.95373535156249,\n 38.84826438869913\n ],\n [\n -76.96746826171875,\n 38.758366935612784\n ],\n [\n -76.96746826171875,\n 38.6897975322717\n ],\n [\n -76.92626953125,\n 38.46434231629165\n ],\n [\n -76.86035156249999,\n 38.41055825094609\n ],\n [\n -76.695556640625,\n 38.33088431959968\n ],\n [\n -76.5582275390625,\n 38.24249456800328\n ],\n [\n -76.5582275390625,\n 38.14319750166766\n ],\n [\n -76.66259765625,\n 38.09349821336742\n ],\n [\n -77.01416015625,\n 38.19502155795573\n ],\n [\n -77.0965576171875,\n 38.302869955150044\n ],\n [\n -77.26959228515625,\n 38.28993659801203\n ],\n [\n -77.41241455078125,\n 38.35458032659834\n ],\n [\n -77.40142822265625,\n 38.50304202775689\n ],\n [\n -77.3272705078125,\n 38.6897975322717\n ],\n [\n -77.2174072265625,\n 38.79048618862274\n ],\n [\n -77.15423583984375,\n 38.8824811975508\n ],\n [\n -77.113037109375,\n 38.950865400919994\n ],\n [\n -77.01690673828125,\n 38.95300134535987\n ],\n [\n -76.96197509765625,\n 38.92309226598178\n ],\n [\n -76.95373535156249,\n 38.84826438869913\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"661","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-10-07","publicationStatus":"PW","scienceBaseUri":"56c45646e4b0946c6521854f","contributors":{"authors":[{"text":"Landis, Andrew M. Gascho","contributorId":166958,"corporation":false,"usgs":false,"family":"Landis","given":"Andrew","email":"","middleInitial":"M. Gascho","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":620553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lapointe, Nicolas W. R.","contributorId":166959,"corporation":false,"usgs":false,"family":"Lapointe","given":"Nicolas","email":"","middleInitial":"W. R.","affiliations":[],"preferred":false,"id":620554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, Paul L. biota@usgs.gov","contributorId":1432,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":613,"text":"Virginia Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":620555,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98794,"text":"sir20105157 - 2010 - Occurrence and attempted mitigation of carbon dioxide in a home constructed on reclaimed coal-mine spoil, Pike County, Indiana","interactions":[],"lastModifiedDate":"2012-03-08T17:16:14","indexId":"sir20105157","displayToPublicDate":"2010-10-06T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5157","title":"Occurrence and attempted mitigation of carbon dioxide in a home constructed on reclaimed coal-mine spoil, Pike County, Indiana","docAbstract":"In recent years carbon dioxide intrusion has become recognized as a potentially serious health threat where homes are constructed on or near reclaimed surface coal mines. When carbon dioxide invades the living space of a home, it can collect near the floor, displace the oxygen there, and produce an oxygen-deficient environment. In this investigation, several lines of inquiry were pursued to determine the environmental factors that most influence carbon dioxide intrusion at a Pike County, Ind., home where this phenomenon is known to occur. It was found that carbon dioxide intrusion events at the home are most closely tied to rapid drops in barometric pressure and rainfall. Other researchers have shown that windy conditions and periods of cold weather also can contribute to soil-gas intrusion to structures. From this, a conceptual model was developed to illustrate the influence of these four meteorological conditions. Additionally, three mitigation methods-block-wall depressurization, block-wall and sub-slab depressurization, and block-wall and sub-slab pressurization-were applied successively to the study-site home, and environmental data were collected to evaluate the effectiveness of each mitigation method. In each case, it was found that these methods did not ensure a safe environment when meteorological conditions were favorable for carbon dioxide intrusion.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105157","collaboration":"Prepared in Cooperation with the Indiana Department of Natural Resources, Division of Reclamation","usgsCitation":"Robinson, B.A., 2010, Occurrence and attempted mitigation of carbon dioxide in a home constructed on reclaimed coal-mine spoil, Pike County, Indiana: U.S. Geological Survey Scientific Investigations Report 2010-5157, vi, 17 p.; Appendix, https://doi.org/10.3133/sir20105157.","productDescription":"vi, 17 p.; Appendix","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":126014,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5157.jpg"},{"id":14226,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5157/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.13388888888889,38.31777777777778 ], [ -87.13388888888889,38.31777777777778 ], [ -87.13388888888889,38.31777777777778 ], [ -87.13388888888889,38.31777777777778 ], [ -87.13388888888889,38.31777777777778 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db696367","contributors":{"authors":[{"text":"Robinson, Bret A. barobins@usgs.gov","contributorId":3897,"corporation":false,"usgs":true,"family":"Robinson","given":"Bret","email":"barobins@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":306496,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98791,"text":"sir20105195 - 2010 - Determination of time-of-travel, dispersion characteristics, and oxygen reaeration coefficients during low streamflows--Lower Tacony/Frankford Creek, Philadelphia, Pennsylvania","interactions":[],"lastModifiedDate":"2024-04-22T18:45:49.76667","indexId":"sir20105195","displayToPublicDate":"2010-10-05T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5195","title":"Determination of time-of-travel, dispersion characteristics, and oxygen reaeration coefficients during low streamflows--Lower Tacony/Frankford Creek, Philadelphia, Pennsylvania","docAbstract":"Time-of-travel, dispersion characteristics, and oxygen reaeration coefficients were determined by use of dye and gas tracing for a 2-mile reach of Tacony/Frankford Creek in Philadelphia, southeastern Pennsylvania. The reach frequently has concentrations of dissolved oxygen (DO) below the water-quality standard of 4 milligrams per liter during warm months. Several large combined sewer overflows (CSOs), including one of the largest in Philadelphia (former Wingohocking Creek), discharge to the study reach in this urbanized watershed, affecting water quality and the timing and magnitude of storm peaks. In addition, a dam that commonly results in backwater conditions and reduced natural reaeration is present a few hundred feet from the end of the study reach. Time-of-travel and reaeration data were collected under base-flow conditions in August and September 2009 for three sub-reaches from Roosevelt Boulevard (U.S. Route 1) to Castor Avenue.
Determination of traveltimes to the centroid of the dye cloud were needed for calculation of the reaeration coefficients. Results of the dye study in Tacony/Frankford Creek indicate that traveltimes were affected by the presence of man-made structures, such as the large scour hole and pool developed at the outfall of the T14 CSO and the dam, both of which reduce stream velocities. Mean stream velocities during the dye-tracer tests ranged from a maximum of 0.44 to 0.04 foot per second through a large pool. The dispersion efficiency of the stream was determined from relations between normalized unit concentrations to time to peak for use in water-quality modeling.
Oxygen reaeration coefficients determined by a constant rate-injection method using propane as the tracer gas were as low as 0.04 unit per hour in a long pool affected by backwater conditions behind a dam. The highest reaeration coefficient was 2.29 units per hour for a steep-gradient reach with multiple winding channels through gravel deposits, just downstream of a large scour pool developed at the outlet of the T14 CSO. Reaeration coefficients determined from the field tracer-gas method were compared to values calculated by two other methods, one that is based on theoretical equations using physical properties of the stream as variables and the other that is based on equations using the timing of measured daily maximum DO concentrations in the stream. Reaeration coefficients from the two alternate methods were most similar to values determined from the field tracer-gas method for the upstream portion of the study reach, characterized by free-flowing riffle and pools. Values of reaeration coefficients determined by the tracer-gas method were 2 to 10 times higher than values determined by 2 alternate methods for most subreaches hydraulically affected by man-made structures.
In addition to the tracer gas, propane, the gas analysis also included methane, ethane, and ethene, of which only methane was measured in concentrations above a few micrograms per liter. Methane, thought to occur naturally or because of ongoing processes in the stream, was measured in concentrations ranging from 6.6 to 78 micrograms per liter; the concentrations were greatest in sub-reaches dominated by pools.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105195","collaboration":"Prepared in cooperation with the City of Philadelphia, Water Department","usgsCitation":"Senior, L.A., and Gyves, M.C., 2010, Determination of time-of-travel, dispersion characteristics, and oxygen reaeration coefficients during low streamflows--Lower Tacony/Frankford Creek, Philadelphia, Pennsylvania: U.S. Geological Survey Scientific Investigations Report 2010-5195, 90 p., https://doi.org/10.3133/sir20105195.","productDescription":"90 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":428007,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94348.htm","linkFileType":{"id":5,"text":"html"}},{"id":375078,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2010/5195/images/coverthb.gif"},{"id":14201,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5195/","linkFileType":{"id":5,"text":"html"}},{"id":375075,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5195/pdf/sir2010-5195.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Pennsylvania","city":"Philadelphia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.11666666666666,40.03333333333333 ], [ -75.11666666666666,40 ], [ -75.08416666666666,40 ], [ -75.08416666666666,40.03333333333333 ], [ -75.11666666666666,40.03333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db6674bd","contributors":{"authors":[{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gyves, Matthew C. 0000-0001-9361-6493 mgyves@usgs.gov","orcid":"https://orcid.org/0000-0001-9361-6493","contributorId":4029,"corporation":false,"usgs":true,"family":"Gyves","given":"Matthew","email":"mgyves@usgs.gov","middleInitial":"C.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306492,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98792,"text":"sir20105117 - 2010 - Implementation of local grid refinement (LGR) for the Lake Michigan Basin regional groundwater-flow model","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"sir20105117","displayToPublicDate":"2010-10-05T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5117","title":"Implementation of local grid refinement (LGR) for the Lake Michigan Basin regional groundwater-flow model","docAbstract":"The U.S. Geological Survey is evaluating water availability and use within the Great Lakes Basin. This is a pilot effort to develop new techniques and methods to aid in the assessment of water availability. As part of the pilot program, a regional groundwater-flow model for the Lake Michigan Basin was developed using SEAWAT-2000. The regional model was used as a framework for assessing local-scale water availability through grid-refinement techniques. Two grid-refinement techniques, telescopic mesh refinement and local grid refinement, were used to illustrate the capability of the regional model to evaluate local-scale problems. An intermediate model was developed in central Michigan spanning an area of 454 square miles (mi2) using telescopic mesh refinement. Within the intermediate model, a smaller local model covering an area of 21.7 mi2 was developed and simulated using local grid refinement. Recharge was distributed in space and time using a daily output from a modified Thornthwaite-Mather soil-water-balance method. The soil-water-balance method derived recharge estimates from temperature and precipitation data output from an atmosphere-ocean coupled general-circulation model. The particular atmosphere-ocean coupled general-circulation model used, simulated climate change caused by high global greenhouse-gas emissions to the atmosphere. The surface-water network simulated in the regional model was refined and simulated using a streamflow-routing package for MODFLOW. \r\n\r\nThe refined models were used to demonstrate streamflow depletion and potential climate change using five scenarios. The streamflow-depletion scenarios include (1) natural conditions (no pumping), (2) a pumping well near a stream; the well is screened in surficial glacial deposits, (3) a pumping well near a stream; the well is screened in deeper glacial deposits, and (4) a pumping well near a stream; the well is open to a deep bedrock aquifer. Results indicated that a range of 59 to 50 percent of the water pumped originated from the stream for the shallow glacial and deep bedrock pumping scenarios, respectively. The difference in streamflow reduction between the shallow and deep pumping scenarios was compensated for in the deep well by deriving more water from regional sources. The climate-change scenario only simulated natural conditions from 1991-2044, so there was no pumping stress simulated. Streamflows were calculated for the simulated period and indicated that recharge over the period generally increased from the start of the simulation until approximately 2017, and decreased from then to the end of the simulation. Streamflow was highly correlated with recharge so that the lowest streamflows occurred in the later stress periods of the model when recharge was lowest. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105117","collaboration":"National Water Availability and Use Pilot Program","usgsCitation":"Hoard, C.J., 2010, Implementation of local grid refinement (LGR) for the Lake Michigan Basin regional groundwater-flow model: U.S. Geological Survey Scientific Investigations Report 2010-5117, v, 25 p. , https://doi.org/10.3133/sir20105117.","productDescription":"v, 25 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":126036,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5117.jpg"},{"id":14202,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5117/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93,39 ], [ -93,48 ], [ -81,48 ], [ -81,39 ], [ -93,39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a2b1","contributors":{"authors":[{"text":"Hoard, C. J.","contributorId":37436,"corporation":false,"usgs":true,"family":"Hoard","given":"C.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":306493,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98772,"text":"ds537 - 2010 - Bathymetric and streamflow data for the Quillayute, Dickey, and Bogachiel Rivers, Clallam County, Washington, April-May 2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"ds537","displayToPublicDate":"2010-10-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"537","title":"Bathymetric and streamflow data for the Quillayute, Dickey, and Bogachiel Rivers, Clallam County, Washington, April-May 2010","docAbstract":"To facilitate the development of a two-dimensional hydrodynamic model of the Quillayute River estuary, the U.S. Geological Survey conducted a bathymetric survey of the Quillayute River and its tributaries, upstream of the La Push Harbor. Streamflow also was measured concurrent with the bathymetric survey. This report documents the bathymetric and streamflow data collected in the Quillayute (river mile 0.4-5.7), Dickey (river mile 0-0.4), and Bogachiel Rivers (river mile 0-0.8) on April 20-21 and May 4-6, 2010, including a longitudinal profile, about 7-miles long, of water-surface and riverbed elevations. In all, 173,800 bathymetric points were collected and streamflow measurements in the mainstem Quillayute River ranged from 3,630 to 7,800 cubic feet per second.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds537","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Seattle District","usgsCitation":"Czuba, J., Barnas, C.R., McKenna, T.E., Justin, G., and Payne, K.L., 2010, Bathymetric and streamflow data for the Quillayute, Dickey, and Bogachiel Rivers, Clallam County, Washington, April-May 2010: U.S. Geological Survey Data Series 537, iv, 12 p.; Bathymetry data; Longitudinal Profile data, https://doi.org/10.3133/ds537.","productDescription":"iv, 12 p.; Bathymetry data; Longitudinal Profile data","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2010-04-01","temporalEnd":"2010-05-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":126097,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_537.jpg"},{"id":14182,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/537/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.65,47.88333333333333 ], [ -124.65,47.93333333333333 ], [ -124.53333333333333,47.93333333333333 ], [ -124.53333333333333,47.88333333333333 ], [ -124.65,47.88333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6fe4b07f02db640a61","contributors":{"authors":[{"text":"Czuba, Jonathan A.","contributorId":19917,"corporation":false,"usgs":true,"family":"Czuba","given":"Jonathan A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnas, Christiana R.","contributorId":80792,"corporation":false,"usgs":true,"family":"Barnas","given":"Christiana","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":306431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKenna, Thomas E.","contributorId":80793,"corporation":false,"usgs":true,"family":"McKenna","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":306432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Justin, Gregory","contributorId":14081,"corporation":false,"usgs":true,"family":"Justin","given":"Gregory","email":"","affiliations":[],"preferred":false,"id":306429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Payne, Karen L. klpayne@usgs.gov","contributorId":3839,"corporation":false,"usgs":true,"family":"Payne","given":"Karen","email":"klpayne@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":306428,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98784,"text":"ofr20101233 - 2010 - Quality of surface water in Missouri, water year 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"ofr20101233","displayToPublicDate":"2010-10-02T00:00:00","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":"2010-1233","title":" Quality of surface water in Missouri, water year 2009","docAbstract":"The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, designs and operates a series of monitoring stations on streams throughout Missouri known as the Ambient Water-Quality Monitoring Network. During the 2009 water year (October 1, 2008, through September 30, 2009), data were collected at 75 stations-69 Ambient Water-Quality Monitoring Network stations, 2 U.S. Geological Survey National Stream Quality Accounting Network stations, 1 spring sampled in cooperation with the U.S. Forest Service, and 3 stations sampled in cooperation with the Elk River Watershed Improvement Association. Dissolved oxygen, specific conductance, water temperature, suspended solids, suspended sediment, fecal coliform bacteria, Escherichia coli bacteria, dissolved nitrate plus nitrite, total phosphorus, dissolved and total recoverable lead and zinc, and select pesticide compound summaries are presented for 72 of these stations. The stations primarily have been classified into groups corresponding to the physiography of the State, primary land use, or unique station types. In addition, a summary of hydrologic conditions in the State including peak discharges, monthly mean discharges, and seven-day low flow is presented.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101233","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Barr, M.N., 2010, Quality of surface water in Missouri, water year 2009: U.S. Geological Survey Open-File Report 2010-1233, iv, 22 p., https://doi.org/10.3133/ofr20101233.","productDescription":"iv, 22 p.","temporalStart":"2008-10-01","temporalEnd":"2009-09-30","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":126096,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1233.jpg"},{"id":14194,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1233/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,36 ], [ -96,41 ], [ -89,41 ], [ -89,36 ], [ -96,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd48ffe4b0b290850eecaa","contributors":{"authors":[{"text":"Barr, Miya N. 0000-0002-9961-9190 mnbarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9961-9190","contributorId":3686,"corporation":false,"usgs":true,"family":"Barr","given":"Miya","email":"mnbarr@usgs.gov","middleInitial":"N.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306464,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98782,"text":"ds534 - 2010 - Groundwater-quality data for the Sierra Nevada study unit, 2008: Results from the California GAMA program","interactions":[],"lastModifiedDate":"2022-07-19T20:21:45.820456","indexId":"ds534","displayToPublicDate":"2010-10-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"534","title":"Groundwater-quality data for the Sierra Nevada study unit, 2008: Results from the California GAMA program","docAbstract":"Groundwater quality in the approximately 25,500-square-mile Sierra Nevada study unit was investigated in June through October 2008, as part of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basin Project is being conducted by the U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board (SWRCB). The Sierra Nevada study was designed to provide statistically robust assessments of untreated groundwater quality within the primary aquifer systems in the study unit, and to facilitate statistically consistent comparisons of groundwater quality throughout California. The primary aquifer systems (hereinafter, primary aquifers) are defined by the depth of the screened or open intervals of the wells listed in the California Department of Public Health (CDPH) database of wells used for public and community drinking-water supplies. The quality of groundwater in shallower or deeper water-bearing zones may differ from that in the primary aquifers; shallow groundwater may be more vulnerable to contamination from the surface.
In the Sierra Nevada study unit, groundwater samples were collected from 84 wells (and springs) in Lassen, Plumas, Butte, Sierra, Yuba, Nevada, Placer, El Dorado, Amador, Alpine, Calaveras, Tuolumne, Madera, Mariposa, Fresno, Inyo, Tulare, and Kern Counties. The wells were selected on two overlapping networks by using a spatially-distributed, randomized, grid-based approach. The primary grid-well network consisted of 30 wells, one well per grid cell in the study unit, and was designed to provide statistical representation of groundwater quality throughout the entire study unit. The lithologic grid-well network is a secondary grid that consisted of the wells in the primary grid-well network plus 53 additional wells and was designed to provide statistical representation of groundwater quality in each of the four major lithologic units in the Sierra Nevada study unit: granitic, metamorphic, sedimentary, and volcanic rocks. One natural spring that is not used for drinking water was sampled for comparison with a nearby primary grid well in the same cell.
Groundwater samples were analyzed for organic constituents (volatile organic compounds [VOC], pesticides and pesticide degradates, and pharmaceutical compounds), constituents of special interest (N-nitrosodimethylamine [NDMA] and perchlorate), naturally occurring inorganic constituents (nutrients, major ions, total dissolved solids, and trace elements), and radioactive constituents (radium isotopes, radon-222, gross alpha and gross beta particle activities, and uranium isotopes). Naturally occurring isotopes and geochemical tracers (stable isotopes of hydrogen and oxygen in water, stable isotopes of carbon, carbon-14, strontium isotopes, and tritium), and dissolved noble gases also were measured to help identify the sources and ages of the sampled groundwater.
Three types of quality-control samples (blanks, replicates, and samples for matrix spikes) each were collected at approximately 10 percent of the wells sampled for each analysis, and the results for these samples were used to evaluate the quality of the data for the groundwater samples. Field blanks rarely contained detectable concentrations of any constituent, suggesting that contamination from sample collection, handling, and analytical procedures was not a significant source of bias in the data for the groundwater samples. Differences between replicate samples were within acceptable ranges, with few exceptions. Matrix-spike recoveries were within acceptable ranges for most compounds.
This study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, groundwater typically is treated, disinfected, or blended with other waters to maintain water quality. Regulatory benchmarks apply to finished drinking water that is served to the consumer, not to untreated groundwater. However, to provide some context for the results, concentrations of constituents measured in the groundwater were compared with regulatory and nonregulatory health-based benchmarks established by the U.S. Environmental Protection Agency (USEPA) and CDPH and with nonregulatory aesthetic and technical benchmarks established by CDPH. Comparisons between data collected for this study and drinking-water benchmarks are for illustrative purposes only and do not indicate compliance or noncompliance with regulatory benchmarks.
All organic constituents and most inorganic constituents that were detected in groundwater samples from the 30 primary grid wells in the Sierra Nevada study unit were detected at concentrations less than drinking-water benchmarks.
Of the 150 organic and special-interest constituents analyzed, 21 were detected in groundwater samples; all concentrations were less than regulatory and nonregulatory health-based benchmarks, and most were less than 1/10th of benchmark levels. One or more organic constituents were detected in 37 percent of the primary grid wells, and perchlorate was detected in 27 percent of the primary grid wells.
Most samples analyzed for inorganic and radioactive constituents had concentrations or activities less than regulatory and nonregulatory health-based benchmarks. Nutrients were not detected at concentrations greater than health-based benchmarks. Six of the 30 primary grid wells (20 percent) and 7 of the 53 lithologic grid wells had concentrations of or activities for one or two constituents that were greater than the benchmarks. Constituents present in one or more samples at concentrations or activities greater than health-based benchmarks were arsenic (5 wells, MCL-US), gross alpha particle activity (4 wells, MCL-US), boron (2 wells, NL-CA), fluoride (1 well, MCL-CA), and selenium (1 well, MCL-US). Two of the wells that had high gross alpha particle activities had uranium concentrations (MCL-CA) and uranium activities (MCL-CA) greater than the benchmark levels. Four of the 29 samples analyzed had activities of radon-222 greater than the proposed alternative MCL-US.
Most samples analyzed for inorganic constituents that had nonregulatory, aesthetic-based benchmarks (SMCLs) had concentrations less than these benchmarks. Total dissolved solids concentrations were less than the upper SMCL-CA in all 83 primary and lithologic grid well samples, and TDS concentrations were less than the recommended SMCL-CA in 79 of these samples. Manganese concentrations were greater than the SMCL-CA in 2 of the 30 primary grid wells (7 percent) and in 6 of the 53 lithologic grid wells, and iron concentrations were greater than the SMCL-CA in the same 2 primary grid wells and in 5 of the same lithologic grid wells.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds534","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Shelton, J.L., Fram, M.S., Munday, C.M., and Belitz, K., 2010, Groundwater-quality data for the Sierra Nevada study unit, 2008: Results from the California GAMA program: U.S. Geological Survey Data Series 534, ix, 82 p., https://doi.org/10.3133/ds534.","productDescription":"ix, 82 p.","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":126102,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_534.jpg"},{"id":404074,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94351.htm","linkFileType":{"id":5,"text":"html"}},{"id":14192,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/534/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal Area Conic Projection","country":"United States","state":"California","otherGeospatial":"Sierra Nevada study unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.7333,\n 34.7756\n ],\n [\n -117.9167,\n 34.7756\n ],\n [\n -117.9167,\n 40.4297\n ],\n [\n -121.7333,\n 40.4297\n ],\n [\n -121.7333,\n 34.7756\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db658ff9","contributors":{"authors":[{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munday, Cathy M. cmunday@usgs.gov","contributorId":3173,"corporation":false,"usgs":true,"family":"Munday","given":"Cathy","email":"cmunday@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":306458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306455,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98779,"text":"ds530 - 2010 - Characteristics of sediment data and annual suspended-sediment loads and yields for selected lower Missouri River mainstem and tributary stations, 1976-2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ds530","displayToPublicDate":"2010-10-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"530","title":"Characteristics of sediment data and annual suspended-sediment loads and yields for selected lower Missouri River mainstem and tributary stations, 1976-2008","docAbstract":"Suspended-sediment data from 18 selected surface-water monitoring stations in the lower Missouri River Basin downstream from Gavins Point Dam were used in the computation of annual suspended-sediment and suspended-sand loads for 1976 through 2008. Three methods of suspended-sediment load determination were utilized and these included the subdivision method, regression of instantaneous turbidity with suspended-sediment concentrations at selected stations, and regression techniques using the Load Estimator (LOADEST) software. Characteristics of the suspended-sediment and streamflow data collected at the 18 monitoring stations and the tabulated annual suspended-sediment and suspended-sand loads and yields are presented.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds530","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Kansas City District","usgsCitation":"Heimann, D.C., Rasmussen, P.P., Cline, T.L., Pigue, L., and Wagner, H.R., 2010, Characteristics of sediment data and annual suspended-sediment loads and yields for selected lower Missouri River mainstem and tributary stations, 1976-2008: U.S. Geological Survey Data Series 530, iv, 57 p.; Appendices; Appendix 1 Download file, https://doi.org/10.3133/ds530.","productDescription":"iv, 57 p.; Appendices; Appendix 1 Download file","additionalOnlineFiles":"Y","temporalStart":"1976-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":126091,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_530.jpg"},{"id":14189,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/530/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115,35 ], [ -115,50 ], [ -89,50 ], [ -89,35 ], [ -115,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4f94","contributors":{"authors":[{"text":"Heimann, David C. 0000-0003-0450-2545 dheimann@usgs.gov","orcid":"https://orcid.org/0000-0003-0450-2545","contributorId":3822,"corporation":false,"usgs":true,"family":"Heimann","given":"David","email":"dheimann@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rasmussen, Patrick P. 0000-0002-3287-6010 pras@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6010","contributorId":3530,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Patrick","email":"pras@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":306447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cline, Teri L.","contributorId":80220,"corporation":false,"usgs":true,"family":"Cline","given":"Teri","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":306451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pigue, Lori M.","contributorId":69510,"corporation":false,"usgs":true,"family":"Pigue","given":"Lori M.","affiliations":[],"preferred":false,"id":306450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Holly R.","contributorId":39739,"corporation":false,"usgs":true,"family":"Wagner","given":"Holly","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":306449,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98778,"text":"fs20103062 - 2010 - U.S. Geological Survey disaster response and the International Charter for space and major disasters","interactions":[],"lastModifiedDate":"2017-03-29T12:41:22","indexId":"fs20103062","displayToPublicDate":"2010-10-02T00:00:00","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":"2010-3062","title":"U.S. Geological Survey disaster response and the International Charter for space and major disasters","docAbstract":"In 1999, an international consortium of space agencies conceived and approved a mechanism to provide satellite information in support of worldwide disaster relief. This group came to be known as the 'International Charter?Space and Major Disasters' and has become an important resource for the use of satellite data to evaluate and provide support for response to natural and man-made disasters. From the Charter's formative days in 1999, its membership has grown to 10 space organizations managing more than 20 earth-observing satellites.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20103062","usgsCitation":"Stryker, T.S., and Jones, B., 2010, U.S. Geological Survey disaster response and the International Charter for space and major disasters (Version 1.1: October 2014): U.S. Geological Survey Fact Sheet 2010-3062, 2 p., https://doi.org/10.3133/fs20103062.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":14188,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3062/","linkFileType":{"id":5,"text":"html"}},{"id":338606,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2010/3062/pdf/fs2010-3062.pdf"},{"id":126098,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3062.jpg"}],"edition":"Version 1.1: October 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2be4b07f02db612d5e","contributors":{"authors":[{"text":"Stryker, Timothy S. tstryker@usgs.gov","contributorId":4864,"corporation":false,"usgs":true,"family":"Stryker","given":"Timothy","email":"tstryker@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":306445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Brenda K. 0000-0003-4941-5349","orcid":"https://orcid.org/0000-0003-4941-5349","contributorId":60739,"corporation":false,"usgs":true,"family":"Jones","given":"Brenda K.","affiliations":[],"preferred":false,"id":306446,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}