This work reviews the use of heat as a tracer of shallow groundwater movement and describes current temperature-based approaches for estimating streambed water exchanges. Four common hydrologic conditions in stream channels are graphically depicted with the expected underlying streambed thermal responses, and techniques are discussed for installing and monitoring temperature and stage equipment for a range of hydrological environments. These techniques are divided into direct-measurement techniques in streams and streambeds, groundwater techniques relying on traditional observation wells, and remote sensing and other large-scale advanced temperature-acquisition techniques. A review of relevant literature suggests researchers often graphically visualize temperature data to enhance conceptual models of heat and water flow in the near-stream environment and to determine site-specific approaches of data analysis. Common visualizations of stream and streambed temperature patterns include thermographs, temperature envelopes, and one-, two-, and three-dimensional temperature contour plots. Heat and water transport governing equations are presented for the case of transport in streambeds, followed by methods of streambed data analysis, including simple heat-pulse arrival time and heat-loss procedures, analytical and time series solutions, and heat and water transport simulation models. A series of applications of these methods are presented for a variety of stream settings ranging from arid to continental climates. Progressive successes to quantify both streambed fluxes and the spatial extent of streambeds indicate heat-tracing tools help define the streambed as a spatially distinct field (analogous to soil science), rather than simply the lower boundary in stream research or an amorphous zone beneath the stream channel.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2008WR006996","usgsCitation":"Constantz, J., 2008, Heat as a tracer to determine streambed water exchanges: Water Resources Research, v. 46, no. 4, W00D10, 20 p., https://doi.org/10.1029/2008WR006996.","productDescription":"W00D10, 20 p.","costCenters":[],"links":[{"id":476579,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008wr006996","text":"Publisher Index Page"},{"id":241481,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-12-02","publicationStatus":"PW","scienceBaseUri":"505a2fe5e4b0c8380cd5d1ab","contributors":{"authors":[{"text":"Constantz, Jim","contributorId":66338,"corporation":false,"usgs":true,"family":"Constantz","given":"Jim","affiliations":[],"preferred":false,"id":436625,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70206524,"text":"70206524 - 2008 - Rank clocks and plant community dynamics","interactions":[],"lastModifiedDate":"2019-11-08T06:40:42","indexId":"70206524","displayToPublicDate":"2008-12-01T16:23:26","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Rank clocks and plant community dynamics","docAbstract":"Summarizing complex temporal dynamics in communities is difficult to achieve in a way that yields an intuitive picture of change. Rank clocks and rank abundance statistics provide a graphical and analytical framework for displaying and quantifying community dynamics. We used rank clocks, in which the rank order abundance for each species is plotted over time in temporal clockwise direction, to display temporal changes in species abundances and richness. We used mean rank shift and proportional species persistence to quantify changes in community structure in long‐term data sets from fertilized and control plots in a late successional old field, frequently and infrequently burned tallgrass prairie, and Chihuahuan desert grassland and shrubland communities. Rank clocks showed that relatively constant species richness masks considerable temporal dynamics in relative species abundances. In the old field, fertilized plots initially experienced high mean rank shifts that stabilized rapidly below that of unfertilized plots. Rank shifts were higher in infrequently burned vs. annually burned tallgrass prairie and in desert grassland compared to shrubland vegetation. Proportional persistence showed that arid grasslands were more dynamic than mesic grasslands. We conclude that rank clocks and rank abundance statistics provide important insights into community dynamics that are often hidden by traditional univariate approaches.
The Landsat Data Continuity Mission (LDCM) Operational Land Imager (OLI) is the successor to the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) instrument and features a pushbroom architecture that is more geometrically stable than the whiskbroom scanner of the ETM+. As a tradeoff of this architecture selection, imagery must be terrain corrected to ensure accurate band registration. This paper compares the geometric performance requirements for the two instruments and discusses the implications for the Landsat user community.
","conferenceTitle":"William T. Pecora Memorial Symposium on Remote Sensing, 17th","conferenceDate":"November 18-20, 2008","conferenceLocation":"Denver, CO","language":"English","publisher":"ASPRS","usgsCitation":"Storey, J.C., Choate, M., and Lee, K., 2008, Geometric performance comparison between the OLI and the ETM+, William T. Pecora Memorial Symposium on Remote Sensing, 17th, Denver, CO, November 18-20, 2008, 0039, 8 p.","productDescription":"0039, 8 p.","costCenters":[],"links":[{"id":462343,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/Conference-Proceedings.html","linkFileType":{"id":5,"text":"html"}},{"id":462344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Storey, James C. 0000-0002-6664-7232 storey@usgs.gov","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":5333,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"storey@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":914262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choate, Mike 0000-0002-8101-4994 choate@usgs.gov","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":4618,"corporation":false,"usgs":true,"family":"Choate","given":"Mike","email":"choate@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":914263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Kenton","contributorId":127404,"corporation":false,"usgs":false,"family":"Lee","given":"Kenton","email":"","affiliations":[{"id":6944,"text":"Ball Aerospace Technologies Corporation","active":true,"usgs":false}],"preferred":false,"id":914264,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236410,"text":"70236410 - 2008 - High-resolution seismic images and seismic velocities of the San Andreas fault zone at Burro Flats, Southern California","interactions":[],"lastModifiedDate":"2022-09-06T15:39:31.774931","indexId":"70236410","displayToPublicDate":"2008-12-01T10:29:36","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution seismic images and seismic velocities of the San Andreas fault zone at Burro Flats, Southern California","docAbstract":"To better understand the structure of the San Andreas fault (SAF) at Burro Flats in southern California, we acquired a three-dimensional combined set of seismic reflection and refraction profiles centered on the main active trace at Burro Flats. In this article, we discuss the variation in shallow-depth velocities along each seismic profile, with special emphasis on the 1500 m/sec P-wave velocity contour, which can be an indicator of shallow-depth water-saturated unconsolidated sediments. Along the four seismic profiles, minimum depths of the groundwater table, as inferred from 1500 m/sec velocity contour, range from 10 to about 20 m. The largest variations in depth to the top of the groundwater table occur in areas near mapped faults, suggesting that the groundwater flow in Burro Flats is strongly affected by the locations of fault traces. We also used the seismic data to develop seismic reflection images that show multiple strands of the SAF in the upper 60 m. Reflectors above the 10 m depth probably correspond to Holocene alluvial deposits; reflectors below the 15 m depth probably arise from velocity or density variations within the Precambrian gneiss complex, likely due to weathering. Apparent vertical offsets of reflectors are observed along profiles (lines 1 and 2) that are normal to the SAF, indicating minor apparent vertical offsets on the SAF at shallow depths. Along line 2, the apparently vertically offset reflectors correlate with zones of relatively low P-wave velocity. Along the central part of lines 1 and 2, the faults form a flower structure, which is typical of strike-slip faults such as the SAF.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120060252","usgsCitation":"Tsai, C.C., Catchings, R.D., Goldman, M.R., Rymer, M.J., Schnurle, P., and Chen, H.W., 2008, High-resolution seismic images and seismic velocities of the San Andreas fault zone at Burro Flats, Southern California: Bulletin of the Seismological Society of America, v. 98, no. 6, p. 2948-2961, https://doi.org/10.1785/0120060252.","productDescription":"14 p.","startPage":"2948","endPage":"2961","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":406234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Andreas fault zone at Burro Flats","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.25,\n 33.75\n ],\n [\n -116.255,\n 33.75\n ],\n [\n -116.255,\n 34.25\n ],\n [\n -117.25,\n 34.25\n ],\n [\n -117.25,\n 33.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"98","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tsai, C. C.","contributorId":296227,"corporation":false,"usgs":false,"family":"Tsai","given":"C.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":850916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":850917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldman, Mark R. 0000-0002-0802-829X goldman@usgs.gov","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":1521,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","email":"goldman@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":850918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rymer, Michael J. mrymer@usgs.gov","contributorId":1522,"corporation":false,"usgs":true,"family":"Rymer","given":"Michael","email":"mrymer@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":850924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schnurle, P.","contributorId":296228,"corporation":false,"usgs":false,"family":"Schnurle","given":"P.","email":"","affiliations":[],"preferred":false,"id":850925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, H. W.","contributorId":296229,"corporation":false,"usgs":false,"family":"Chen","given":"H.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":850926,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201078,"text":"70201078 - 2008 - Spirit Mars Rover Mission to the Columbia Hills, Gusev Crater: Mission overview and selected results from the Cumberland Ridge to Home Plate","interactions":[],"lastModifiedDate":"2018-11-27T10:21:11","indexId":"70201078","displayToPublicDate":"2008-12-01T10:20:32","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Spirit Mars Rover Mission to the Columbia Hills, Gusev Crater: Mission overview and selected results from the Cumberland Ridge to Home Plate","docAbstract":"This paper summarizes the Spirit rover operations in the Columbia Hills of Gusev Crater from sols 513 to 1476 and provides an overview of selected findings that focus on synergistic use of the Athena Payload and comparisons to orbital data. Results include discovery of outcrops (Voltaire) on Husband Hill that are interpreted to be altered impact melt deposits that incorporated local materials during emplacement. Evidence for extensive volcanic activity and aqueous alteration in the Inner Basin is also detailed, including discovery and characterization of accretionary lapilli and formation of sulfate, silica, and hematite‐rich deposits. Use of Spirit's data to understand the range of spectral signatures observed over the Columbia Hills by the Mars Reconnaissance Orbiter's Compact Reconnaissance Imaging Spectrometer (CRISM) hyperspectral imager (0.4–4 μm) is summarized. We show that CRISM spectra are controlled by the proportion of ferric‐rich dust to ferrous‐bearing igneous minerals exposed in ripples and other wind‐blown deposits. The evidence for aqueous alteration derived from Spirit's data is associated with outcrops that are too small to be detected from orbital observations or with materials exposed from the shallow subsurface during rover activities. Although orbital observations show many other locations on Mars with evidence for minerals formed or altered in an aqueous environment, Spirit's data imply that the older crust of Mars has been altered even more extensively than evident from orbital data. This result greatly increases the potential that the surface or shallow subsurface was once a habitable regime.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2008JE003183","usgsCitation":"Arvidson, R., Ruff, S.W., Morris, R., Ming, D.W., Crumpler, L., Yen, A.S., Squyres, S.W., Sullivan, R., Bell, J., Cabrol, N., Clark, B.C., Farrand, W.H., Gellert, R., Greenberger, R., Grant, J.A., Guinness, E., Herkenhoff, K.E., Hurowitz, J., Johnson, J.R., Klingelhoefer, G., Lewis, K.W., Li, R., McCoy, T., Moersch, J., McSween, H., Murchie, S., Schmidt, M., Schroeder, C., Wang, A., Wiseman, S., Madsen, M., Goetz, W., and McLennan, S.M., 2008, Spirit Mars Rover Mission to the Columbia Hills, Gusev Crater: Mission overview and selected results from the Cumberland Ridge to Home Plate: Journal of Geophysical Research E: Planets, v. 113, no. E12, 35 p., https://doi.org/10.1029/2008JE003183.","productDescription":"35 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":476584,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/129772","text":"External Repository"},{"id":359703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"113","issue":"E12","noUsgsAuthors":false,"publicationDate":"2008-11-06","publicationStatus":"PW","scienceBaseUri":"5bfe65e4e4b0815414ca6105","contributors":{"authors":[{"text":"Arvidson, R. E.","contributorId":46666,"corporation":false,"usgs":true,"family":"Arvidson","given":"R. E.","affiliations":[],"preferred":false,"id":752291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruff, S. 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III","contributorId":97612,"corporation":false,"usgs":true,"family":"Bell","given":"J.F.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":752299,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cabrol, N.A.","contributorId":65208,"corporation":false,"usgs":true,"family":"Cabrol","given":"N.A.","email":"","affiliations":[],"preferred":false,"id":752300,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clark, B. C.","contributorId":39918,"corporation":false,"usgs":true,"family":"Clark","given":"B.","middleInitial":"C.","affiliations":[],"preferred":false,"id":752301,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Farrand, W. 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R.","contributorId":69278,"corporation":false,"usgs":true,"family":"Johnson","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":752309,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Klingelhoefer, G.","contributorId":29177,"corporation":false,"usgs":true,"family":"Klingelhoefer","given":"G.","email":"","affiliations":[],"preferred":false,"id":752310,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Lewis, K. W.","contributorId":172656,"corporation":false,"usgs":false,"family":"Lewis","given":"K.","email":"","middleInitial":"W.","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":752311,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Li, R.","contributorId":210845,"corporation":false,"usgs":false,"family":"Li","given":"R.","email":"","affiliations":[],"preferred":false,"id":752312,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"McCoy, T.J.","contributorId":84883,"corporation":false,"usgs":true,"family":"McCoy","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":752313,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Moersch, J.","contributorId":66445,"corporation":false,"usgs":true,"family":"Moersch","given":"J.","email":"","affiliations":[],"preferred":false,"id":752314,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"McSween, H.Y.","contributorId":64370,"corporation":false,"usgs":true,"family":"McSween","given":"H.Y.","affiliations":[],"preferred":false,"id":752315,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Murchie, S.L.","contributorId":7369,"corporation":false,"usgs":true,"family":"Murchie","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":752316,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Schmidt, M.","contributorId":11746,"corporation":false,"usgs":true,"family":"Schmidt","given":"M.","affiliations":[],"preferred":false,"id":752317,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Schroeder, C.","contributorId":84884,"corporation":false,"usgs":true,"family":"Schroeder","given":"C.","email":"","affiliations":[],"preferred":false,"id":752318,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Wang, A.","contributorId":46735,"corporation":false,"usgs":true,"family":"Wang","given":"A.","email":"","affiliations":[],"preferred":false,"id":752319,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Wiseman, S.","contributorId":40711,"corporation":false,"usgs":true,"family":"Wiseman","given":"S.","email":"","affiliations":[],"preferred":false,"id":752320,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Madsen, M.B.","contributorId":196208,"corporation":false,"usgs":false,"family":"Madsen","given":"M.B.","email":"","affiliations":[{"id":27198,"text":"Niels Bohr Institute, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":752321,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Goetz, W.","contributorId":181929,"corporation":false,"usgs":false,"family":"Goetz","given":"W.","email":"","affiliations":[],"preferred":false,"id":752322,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"McLennan, S. M.","contributorId":96733,"corporation":false,"usgs":true,"family":"McLennan","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":752323,"contributorType":{"id":1,"text":"Authors"},"rank":33}]}} ,{"id":97111,"text":"sir20085179 - 2008 - Precipitation, Ground-water Hydrology, and Recharge Along the Eastern Slopes of the Sandia Mountains, Bernalillo County, New Mexico","interactions":[],"lastModifiedDate":"2012-03-08T17:16:31","indexId":"sir20085179","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"2008-5179","title":"Precipitation, Ground-water Hydrology, and Recharge Along the Eastern Slopes of the Sandia Mountains, Bernalillo County, New Mexico","docAbstract":"The spatial and temporal distribution of recharge to carbonate and clastic aquifers along the eastern slopes of the Sandia Mountains was investigated by using precipitation, water-level, dissolved chloride, and specific-conductance data. The U.S. Geological Survey (USGS), in cooperation with the Bernalillo County Public Works Division, conducted a study to assess ground-water conditions and provide technical data that could be used as a basis for management and future planning of eastern Bernalillo County water resources. The intent of the investigation was to improve the current understanding of subsurface mechanisms controlling recharge dynamics in a geologically complex aquifer system. In the Sandia Mountains, precipitation events are generally limited to snowfalls in winter months and monsoon rainfall in late summer. Monthly meteorological data from weather stations in the study area indicate that monsoon rainfall during July and August constitutes close to one-third of annual precipitation totals. Following precipitation and snowmelt events, daily ground-water level data show low-amplitude, long-duration peaks in hydrographs of wells north and west of the Tijeras Fault. Hydrographs of monthly and biannual water-level data from across the study area show seasonal variation and water-level fluctuations in excess of 30 ft during a period of below-average precipitation. Water level observations in 67 percent of wells showing drought-induced water-level declines rebounded to at or near predrought conditions within 6 months of return to normal climate conditions. Cross-correlation of annual hydrologic data shows aquifer response to periods of monsoon recharge to persist from 1 to 6 months following events. The lag time between precipitation input and response of water levels or solute concentrations was largest near the Tijeras and Gutierrez Faults. These results indicate regional faults hydrologically isolate the Tijeras Graben from groundwater recharge originating at high elevations along the eastern slopes of the Sandia Mountains. Recharge rates calculated by using the chloride-mass-balance method for five springs located at the base of the Sandia Mountains ranged from 1 to 23 percent of annual precipitation.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085179","collaboration":"Prepared in cooperation with the Bernalillo County Public Works Division","usgsCitation":"McCoy, K.J., and Blanchard, P.J., 2008, Precipitation, Ground-water Hydrology, and Recharge Along the Eastern Slopes of the Sandia Mountains, Bernalillo County, New Mexico (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5179, vi, 34 p., https://doi.org/10.3133/sir20085179.","productDescription":"vi, 34 p.","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":198258,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12093,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5179/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.5,34.833333333333336 ], [ -106.5,35.25 ], [ -106.08333333333333,35.25 ], [ -106.08333333333333,34.833333333333336 ], [ -106.5,34.833333333333336 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db68076f","contributors":{"authors":[{"text":"McCoy, Kurt J. 0000-0002-9756-8238 kjmccoy@usgs.gov","orcid":"https://orcid.org/0000-0002-9756-8238","contributorId":1391,"corporation":false,"usgs":true,"family":"McCoy","given":"Kurt","email":"kjmccoy@usgs.gov","middleInitial":"J.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":301071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blanchard, Paul J.","contributorId":24388,"corporation":false,"usgs":true,"family":"Blanchard","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":301072,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97103,"text":"ds382 - 2008 - Radionuclide Data and Calculations and Loss-On-Ignition, X-Ray Fluorescence, and ICP-AES Data from Cores in Catchments of the Animas River, Colorado","interactions":[],"lastModifiedDate":"2012-02-02T00:15:05","indexId":"ds382","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"382","title":"Radionuclide Data and Calculations and Loss-On-Ignition, X-Ray Fluorescence, and ICP-AES Data from Cores in Catchments of the Animas River, Colorado","docAbstract":"The U.S. Departments of Agriculture and Interior Abandoned Mine Lands (AML) Initiative is focused on the evaluation of the effect of past mining practices on the water quality and the riparian and aquatic habitats of impacted stream reaches downstream from historical mining districts located primarily on Federal lands. This problem is manifest in the eleven western states (west of longitude 102 degrees) where the majority of hardrock mines that had past production are located on Federal lands. In areas of temperate climate and moderate to heavy precipitation, the effects of rapid chemical and physical weathering of sulfides exposed on mine-waste dumps and acidic drainage from mines have resulted in elevated metal concentrations in the stream water and stream-bed sediment. The result of these mineral weathering processes has an unquantified impact on the quality of the water and the aquatic and riparian habitats that may limit their recreational resource value. One of the confounding factors in these studies is the determination of the component of metals derived from hydrothermally altered but unmined portions of these drainage basins. \r\n\r\nSeveral watersheds have been studied to evaluate the effects of acid mine drainage and acid rock drainage on the near-surface environment. The Animas River watershed in southwestern Colorado contains a large number of past-producing metal mines that have affected the watershed. Beginning in October 1996, the U.S. Geological Survey (USGS) began a collaborative study of these effects under the USGS-AML Initiative. In this report, we present the radionuclide and geochemical analytical results of sediment coring during 1997-1999 from two cores from oxbow lakes 0.5 mi. upstream from the 32nd Street Bridge near Durango, Colo., and from three cores from beaver ponds within the Mineral Creek drainage basin near Silverton, Colo.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds382","usgsCitation":"Church, S.E., Rice, C.A., and Marot, M.E., 2008, Radionuclide Data and Calculations and Loss-On-Ignition, X-Ray Fluorescence, and ICP-AES Data from Cores in Catchments of the Animas River, Colorado (Version 1.0): U.S. Geological Survey Data Series 382, Report: iv, 20 p.; Tables, https://doi.org/10.3133/ds382.","productDescription":"Report: iv, 20 p.; Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":169,"text":"Central Mineral Resources Team","active":false,"usgs":true}],"links":[{"id":198371,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12084,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/382/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649af7","contributors":{"authors":[{"text":"Church, Stan E. schurch@usgs.gov","contributorId":803,"corporation":false,"usgs":true,"family":"Church","given":"Stan","email":"schurch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":301043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Cyndi A.","contributorId":31080,"corporation":false,"usgs":true,"family":"Rice","given":"Cyndi","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marot, Marci E. 0000-0003-0504-315X mmarot@usgs.gov","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":2078,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"mmarot@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":301044,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97110,"text":"sir20085119 - 2008 - Analysis of the Magnitude and Frequency of Peak Discharge and Maximum Observed Peak Discharge in New Mexico and Surrounding Areas","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"sir20085119","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"2008-5119","title":"Analysis of the Magnitude and Frequency of Peak Discharge and Maximum Observed Peak Discharge in New Mexico and Surrounding Areas","docAbstract":"Estimates of the magnitude and frequency of peak discharges are necessary for the reliable design of bridges, culverts, and open-channel hydraulic analysis, and for flood-hazard mapping in New Mexico and surrounding areas. The U.S. Geological Survey, in cooperation with the New Mexico Department of Transportation, updated estimates of peak-discharge magnitude for gaging stations in the region and updated regional equations for estimation of peak discharge and frequency at ungaged sites.\r\n\r\nEquations were developed for estimating the magnitude of peak discharges for recurrence intervals of 2, 5, 10, 25, 50, 100, and 500 years at ungaged sites by use of data collected through 2004 for 293 gaging stations on unregulated streams that have 10 or more years of record.\r\n\r\nPeak discharges for selected recurrence intervals were determined at gaging stations by fitting observed data to a log-Pearson Type III distribution with adjustments for a low-discharge threshold and a zero skew coefficient. A low-discharge threshold was applied to frequency analysis of 140 of the 293 gaging stations. This application provides an improved fit of the log-Pearson Type III frequency distribution. Use of the low-discharge threshold generally eliminated the peak discharge by having a recurrence interval of less than 1.4 years in the probability-density function.\r\n\r\nWithin each of the nine regions, logarithms of the maximum peak discharges for selected recurrence intervals were related to logarithms of basin and climatic characteristics by using stepwise ordinary least-squares regression techniques for exploratory data analysis. Generalized least-squares regression techniques, an improved regression procedure that accounts for time and spatial sampling errors, then were applied to the same data used in the ordinary least-squares regression analyses. The average standard error of prediction, which includes average sampling error and average standard error of regression, ranged from 38 to 93 percent (mean value is 62, and median value is 59) for the 100-year flood. The 1996 investigation standard error of prediction for the flood regions ranged from 41 to 96 percent (mean value is 67, and median value is 68) for the 100-year flood that was analyzed by using generalized least-squares regression analysis. Overall, the equations based on generalized least-squares regression techniques are more reliable than those in the 1996 report because of the increased length of record and improved geographic information system (GIS) method to determine basin and climatic characteristics.\r\n\r\nFlood-frequency estimates can be made for ungaged sites upstream or downstream from gaging stations by using a method that transfers flood-frequency data at the gaging station to the ungaged site by using a drainage-area ratio adjustment equation. The peak discharge for a given recurrence interval at the gaging station, drainage-area ratio, and the drainage-area exponent from the regional regression equation of the respective region is used to transfer the peak discharge for the recurrence interval to the ungaged site.\r\n\r\nMaximum observed peak discharge as related to drainage area was determined for New Mexico. Extreme events are commonly used in the design and appraisal of bridge crossings and other structures. Bridge-scour evaluations are commonly made by using the 500-year peak discharge for these appraisals. Peak-discharge data collected at 293 gaging stations and 367 miscellaneous sites were used to develop a maximum peak-discharge relation as an alternative method of estimating peak discharge of an extreme event such as a maximum probable flood.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085119","collaboration":"Prepared in cooperation with the New Mexico Department of Transportation","usgsCitation":"Waltemeyer, S.D., 2008, Analysis of the Magnitude and Frequency of Peak Discharge and Maximum Observed Peak Discharge in New Mexico and Surrounding Areas (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5119, iv, 106 p., https://doi.org/10.3133/sir20085119.","productDescription":"iv, 106 p.","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":124586,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5119.jpg"},{"id":12092,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5119/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115,31 ], [ -115,41 ], [ -102,41 ], [ -102,31 ], [ -115,31 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acfe4b07f02db680025","contributors":{"authors":[{"text":"Waltemeyer, Scott D.","contributorId":101709,"corporation":false,"usgs":true,"family":"Waltemeyer","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":301070,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97113,"text":"ds69M - 2008 - Jurassic-Cretaceous Composite Total Petroleum System and Geologic Assessment of Oil and Gas Resources of the North Cuba Basin, Cuba","interactions":[],"lastModifiedDate":"2012-02-02T00:15:09","indexId":"ds69M","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"69","chapter":"M","title":"Jurassic-Cretaceous Composite Total Petroleum System and Geologic Assessment of Oil and Gas Resources of the North Cuba Basin, Cuba","docAbstract":"The purpose of the U.S. Geological Survey's (USGS) World Oil and Gas Assessment is to develop geologically based hypotheses regarding the potential for additions to oil and gas reserves in priority areas of the world. The U.S. Geological Survey (USGS) completed an assessment of the undiscovered oil and gas potential of the North Cuba Basin.\r\n\r\nThe assessment is based on the geologic elements of the total petroleum system (TPS) defined in the province, including petroleum source rocks (source-rock maturation, generation, and migration), reservoir rocks (sequence stratigraphy and petrophysical properties), and petroleum traps (Trap formation and timing). Using this geologic framework, the USGS defined a Jurassic-Cretaceous Total Petroleum System in the North Cuba Basin Province. Within this TPS, three assessment units were defined and assessed for undiscovered oil and gas resources.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"World Petroleum Resources Project","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds69M","usgsCitation":"U.S. Geological Survey North Cuba Basin Assessment Team, 2008, Jurassic-Cretaceous Composite Total Petroleum System and Geologic Assessment of Oil and Gas Resources of the North Cuba Basin, Cuba: U.S. Geological Survey Data Series 69, Available online and on CD-ROM, https://doi.org/10.3133/ds69M.","productDescription":"Available online and on CD-ROM","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":195944,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12095,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-m/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b48cb","contributors":{"authors":[{"text":"U.S. Geological Survey North Cuba Basin Assessment Team","contributorId":128279,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey North Cuba Basin Assessment Team","id":535005,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97098,"text":"sim3047 - 2008 - State of Florida 1:24,000- and 1:100,000-scale quadrangle index map - Highlighting low-lying areas derived from USGS Digital Elevation Models","interactions":[],"lastModifiedDate":"2017-03-29T11:03:54","indexId":"sim3047","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"3047","title":"State of Florida 1:24,000- and 1:100,000-scale quadrangle index map - Highlighting low-lying areas derived from USGS Digital Elevation Models","docAbstract":"In support of U.S. Geological Survey (USGS) disaster preparedness efforts, this map depicts 1:24,000- and 1:100,000-scale quadrangle footprints over a color shaded relief representation of the State of Florida. The first 30 feet of relief above mean sea level are displayed as brightly colored 5-foot elevation bands, which highlight low-elevation areas at a coarse spatial resolution. Standard USGS National Elevation Dataset (NED) 1 arc-second (nominally 30-meter) digital elevation model (DEM) data are the basis for the map, which is designed to be used at a broad scale and for informational purposes only.\r\n\r\nThe NED source data for this map consists of a mixture of 30-meter- and 10-meter-resolution DEMs. The NED data were derived from the original 1:24,000-scale USGS topographic map bare-earth contours, which were converted into gridded quadrangle-based DEM tiles at a constant post spacing (grid cell size) of either 30 meters (data before the mid-1990s) or 10 meters (mid-1990s and later data). These individual-quadrangle DEMs were then converted to spherical coordinates (latitude/longitude decimal degrees) and edge-matched to ensure seamlessness. \r\n\r\nFigure 1 shows a similar representation for the entire U.S. Gulf Coast, using coarsened 30-meter NED data. Areas below sea level typically are surrounded by levees or some other type of flood-control structures.\r\n\r\nState and county boundary, hydrography, city, and road layers were modified from USGS National Atlas data downloaded in 2003. Quadrangle names, dated April, 2006, were obtained from the Federal Geographic Names Information System. The NED data were downloaded in 2004.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim3047","usgsCitation":"Kosovich, J.J., 2008, State of Florida 1:24,000- and 1:100,000-scale quadrangle index map - Highlighting low-lying areas derived from USGS Digital Elevation Models (Version 1.0): U.S. Geological Survey Scientific Investigations Map 3047, Map Sheet: 39 x 38 inches; Downloads Directory, https://doi.org/10.3133/sim3047.","productDescription":"Map Sheet: 39 x 38 inches; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":176,"text":"Central Region Geospatial Information Office","active":false,"usgs":true}],"links":[{"id":194987,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12079,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3047/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88,24 ], [ -88,31.25 ], [ -80,31.25 ], [ -80,24 ], [ -88,24 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e0e4b07f02db5e3fd7","contributors":{"authors":[{"text":"Kosovich, John J. 0000-0002-3795-4436 jjkosovich@usgs.gov","orcid":"https://orcid.org/0000-0002-3795-4436","contributorId":1470,"corporation":false,"usgs":true,"family":"Kosovich","given":"John","email":"jjkosovich@usgs.gov","middleInitial":"J.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":301038,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97100,"text":"sim3049 - 2008 - State of Louisiana - Highlighting low-lying areas derived from USGS Digital Elevation Data","interactions":[],"lastModifiedDate":"2017-03-29T11:01:42","indexId":"sim3049","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"3049","title":"State of Louisiana - Highlighting low-lying areas derived from USGS Digital Elevation Data","docAbstract":"In support of U.S. Geological Survey (USGS) disaster preparedness efforts, this map depicts a color shaded relief representation highlighting the State of Louisiana and depicts the surrounding areas using muted elevation colors. The first 30 feet of relief above mean sea level are displayed as brightly colored 5-foot elevation bands, which highlight low-elevation areas at a coarse spatial resolution. Areas below sea level typically are surrounded by levees or some other type of flood-control structures. Standard USGS National Elevation Dataset (NED) 1 arc-second (nominally 30-meter) digital elevation model (DEM) data are the basis for the map, which is designed to be used at a broad scale and for informational purposes only.\r\n\r\nThe NED data are a mixture of data and were derived from the original 1:24,000-scale USGS topographic map bare-earth contours, which were converted into gridded quadrangle-based DEM tiles at a constant post spacing (grid cell size) of either 30 meters (data before the mid-1990s) or 10 meters (mid-1990s and later data). These individual-quadrangle DEMs were then converted to spherical coordinates (latitude/longitude decimal degrees) and edge-matched to ensure seamlessness. Approximately one-half of the area shown on this map has DEM source data at a 30-meter resolution, with the remaining half consisting of mostly 10-meter contour-derived DEM data and some small areas of higher-resolution LIght Detection And Ranging (LIDAR) data along parts of the coastline.\r\n\r\nAreas below sea level typically are surrounded by levees or some other type of flood-control structures.\r\n\r\nState and parish boundary, hydrography, city, and road layers were modified from USGS National Atlas data downloaded in 2003. The NED data were downloaded in 2007.","language":"English","publisher":"U.S Geological Survey","doi":"10.3133/sim3049","usgsCitation":"Kosovich, J.J., 2008, State of Louisiana - Highlighting low-lying areas derived from USGS Digital Elevation Data (Version 1.0): U.S. Geological Survey Scientific Investigations Map 3049, Map Sheet: 40 x 33 inches; Downloads Directory, https://doi.org/10.3133/sim3049.","productDescription":"Map Sheet: 40 x 33 inches; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":176,"text":"Central Region Geospatial Information Office","active":false,"usgs":true}],"links":[{"id":12081,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3049/","linkFileType":{"id":5,"text":"html"}},{"id":195042,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"scale":"700000","projection":"Albers Conic Equal Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.25,28.916666666666668 ], [ -94.25,33.083333333333336 ], [ -88.5,33.083333333333336 ], [ -88.5,28.916666666666668 ], [ -94.25,28.916666666666668 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685a84","contributors":{"authors":[{"text":"Kosovich, John J. 0000-0002-3795-4436 jjkosovich@usgs.gov","orcid":"https://orcid.org/0000-0002-3795-4436","contributorId":1470,"corporation":false,"usgs":true,"family":"Kosovich","given":"John","email":"jjkosovich@usgs.gov","middleInitial":"J.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":301040,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97096,"text":"ds358 - 2008 - Surface-Water Exchange through Culverts beneath State Road 9336 within Everglades National Park, 2004-05","interactions":[],"lastModifiedDate":"2012-02-10T00:11:50","indexId":"ds358","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"358","title":"Surface-Water Exchange through Culverts beneath State Road 9336 within Everglades National Park, 2004-05","docAbstract":"The U.S. Geological Survey collected hydrologic data between June 2004 and December 2005 to investigate the temporal and spatial nature of flow exchanges through culverts beneath State Road 9336 within Everglades National Park. Continuous data collected during the study measured flow velocity, water level, salinity, conductivity, and water-temperature in or near seven culverts between Pa-hay-okee Overlook access road and Nine Mile Pond. The two culverts east of Pa-hay-okee Overlook access road flowed into Taylor Slough Basin from 87 to 96 percent of the study period, whereas flows through five culverts between Pa-hay-okee Overlook access road and Nine Mile Pond flowed into Shark River Slough Basin from 70 to 99 percent of the study period. Synoptic flow discharges measured at all culverts during three intensive field efforts revealed a net discharge into Taylor Slough Basin from Shark River Slough Basin through culverts between Royal Palm Road and Pa-hay-okee Overlook access road, and into Shark River Slough Basin from Taylor Slough Basin through culverts between Pa-hay-okee Overlook access road and Nine Mile Pond. Data collected during the study and presented in this report provided additional knowledge of the magnitude, direction, and nature of flow exchanges through the road culverts.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds358","collaboration":"Prepared as part of the USGS Greater Everglades Priority Ecosystem Sciences and the National Research Programs; Prepared in cooperation with the South Florida Water Management District and the Everglades National Park","usgsCitation":"Schaffranek, R.W., Stewart, M.A., and Nowacki, D.J., 2008, Surface-Water Exchange through Culverts beneath State Road 9336 within Everglades National Park, 2004-05: U.S. Geological Survey Data Series 358, Report: vi, 21 p.; Appendix Files, https://doi.org/10.3133/ds358.","productDescription":"Report: vi, 21 p.; Appendix Files","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2004-06-01","temporalEnd":"2005-12-31","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":194986,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12077,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/358/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,25.083333333333332 ], [ -81,25.583333333333332 ], [ -80.5,25.583333333333332 ], [ -80.5,25.083333333333332 ], [ -81,25.083333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae6e4b07f02db68b426","contributors":{"authors":[{"text":"Schaffranek, Raymond W.","contributorId":86314,"corporation":false,"usgs":true,"family":"Schaffranek","given":"Raymond","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":301036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, Marc A. 0000-0003-1140-6316 mastewar@usgs.gov","orcid":"https://orcid.org/0000-0003-1140-6316","contributorId":2277,"corporation":false,"usgs":true,"family":"Stewart","given":"Marc","email":"mastewar@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nowacki, Daniel J. 0000-0002-7015-3710 dnowacki@usgs.gov","orcid":"https://orcid.org/0000-0002-7015-3710","contributorId":69257,"corporation":false,"usgs":true,"family":"Nowacki","given":"Daniel","email":"dnowacki@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":false,"id":301035,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97097,"text":"tm7B1 - 2008 - Secure Web-Site Access with Tickets and Message-Dependent Digests","interactions":[],"lastModifiedDate":"2012-02-02T00:15:09","indexId":"tm7B1","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-B1","title":"Secure Web-Site Access with Tickets and Message-Dependent Digests","docAbstract":"Although there are various methods for restricting access to documents stored on a World Wide Web (WWW) site (a Web site), none of the widely used methods is completely suitable for restricting access to Web applications hosted on an otherwise publicly accessible Web site. A new technique, however, provides a mix of features well suited for restricting Web-site or Web-application access to authorized users, including the following: secure user authentication, tamper-resistant sessions, simple access to user state variables by server-side applications, and clean session terminations. This technique, called message-dependent digests with tickets, or MDDT, maintains secure user sessions by passing single-use nonces (tickets) and message-dependent digests of user credentials back and forth between client and server. Appendix 2 provides a working implementation of MDDT with PHP server-side code and JavaScript client-side code.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Chapter 1 of Book 7, Automated Data Processing and Computations, Section B, Web Applications","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/tm7B1","usgsCitation":"Donato, D.I., 2008, Secure Web-Site Access with Tickets and Message-Dependent Digests: U.S. Geological Survey Techniques and Methods 7-B1, iv, 53 p., https://doi.org/10.3133/tm7B1.","productDescription":"iv, 53 p.","onlineOnly":"Y","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":195943,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12078,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm7b1/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fc14d","contributors":{"authors":[{"text":"Donato, David I. 0000-0002-5412-0249 didonato@usgs.gov","orcid":"https://orcid.org/0000-0002-5412-0249","contributorId":2234,"corporation":false,"usgs":true,"family":"Donato","given":"David","email":"didonato@usgs.gov","middleInitial":"I.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":301037,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97099,"text":"sim3048 - 2008 - Gulf of Mexico region — Highlighting low-lying areas derived from USGS Digital Elevation Data","interactions":[],"lastModifiedDate":"2022-01-24T22:46:29.068858","indexId":"sim3048","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"3048","title":"Gulf of Mexico region — Highlighting low-lying areas derived from USGS Digital Elevation Data","docAbstract":"In support of U.S. Geological Survey (USGS) disaster preparedness efforts, this map depicts a color shaded relief representation of the area surrounding the Gulf of Mexico. The first 30 feet of relief above mean sea level are displayed as brightly colored 5-foot elevation bands, which highlight low-elevation areas at a coarse spatial resolution. Standard USGS National Elevation Dataset (NED) 1 arc-second (nominally 30-meter) digital elevation model (DEM) data are the basis for the map, which is designed to be used at a broad scale and for informational purposes only. \r\n\r\nThe NED data were derived from the original 1:24,000-scale USGS topographic map bare-earth contours, which were converted into gridded quadrangle-based DEM tiles at a constant post spacing (grid cell size) of either 30 meters (data before the mid-1990s data) or 10 meters (mid-1990s and later data). These individual-quadrangle DEMs were then converted to spherical coordinates (latitude/longitude decimal degrees) and edge-matched to ensure seamlessness. Approximately one-half of the area shown on this map has DEM source data at a 30-meter resolution, with the remaining half consisting of 10-meter contour-derived DEM data or higher-resolution LIDAR data.\r\n\r\nAreas below sea level typically are surrounded by levees or some other type of flood-control structures.\r\n\r\nState and county boundary, hydrography, city, and road layers were modified from USGS National Atlas data downloaded in 2003. The NED data were downloaded in 2005.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim3048","usgsCitation":"Kosovich, J.J., 2008, Gulf of Mexico region — Highlighting low-lying areas derived from USGS Digital Elevation Data (Version 1.0): U.S. Geological Survey Scientific Investigations Map 3048, 1 Plate: 56 x 34 inches; Downloads Directory, https://doi.org/10.3133/sim3048.","productDescription":"1 Plate: 56 x 34 inches; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":176,"text":"Central Region Geospatial Information Office","active":false,"usgs":true}],"links":[{"id":195141,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12080,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3048/","linkFileType":{"id":5,"text":"html"}},{"id":394795,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_96746.htm"}],"scale":"1350000","projection":"Albers Conic Equal Area","country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.9594,\n 23.8147\n ],\n [\n -79.2531,\n 23.8147\n ],\n [\n -79.2531,\n 32.4628\n ],\n [\n -99.9594,\n 32.4628\n ],\n [\n -99.9594,\n 23.8147\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a1e2","contributors":{"authors":[{"text":"Kosovich, John J. 0000-0002-3795-4436 jjkosovich@usgs.gov","orcid":"https://orcid.org/0000-0002-3795-4436","contributorId":1470,"corporation":false,"usgs":true,"family":"Kosovich","given":"John","email":"jjkosovich@usgs.gov","middleInitial":"J.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":301039,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97107,"text":"ofr20081326 - 2008 - EAARL topography-Colonial National Historical Park","interactions":[],"lastModifiedDate":"2023-12-07T17:17:52.361806","indexId":"ofr20081326","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"2008-1326","title":"EAARL topography-Colonial National Historical Park","docAbstract":"These Lidar-derived topography maps were produced as a collaborative effort between the U.S. Geological Survey (USGS) Coastal and Marine Geology Program, Florida Integrated Science Center (FISC) St. Petersburg, the National Park Service (NPS) Inventory and Monitoring Program, Northeast Coastal and Barrier Network, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility. One objective of this research is to create techniques to survey coral reefs, barrier islands, and various nearshore coastal environments for the purposes of geomorphic change studies, habitat mapping, ecological monitoring, change detection, and event assessment. As part of this project, data from an innovative instrument under development at the NASA Wallops Flight Facility, the NASA Experimental Airborne Advanced Research Lidar (EAARL) are being used. This sensor has the potential to make significant contributions in this realm for measuring subaerial and submarine topography wthin cross-environment surveys. High spectral resolution, water-column correction, and low costs were found to be key factors in providing accurate and affordable imagery to coastal resource managers.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081326","usgsCitation":"Brock, J., Wright, C.W., Nayegandhi, A., Stevens, S., and Travers, L.J., 2008, EAARL topography-Colonial National Historical Park: U.S. Geological Survey Open-File Report 2008-1326, HTML Document; DVD-ROM, https://doi.org/10.3133/ofr20081326.","productDescription":"HTML Document; DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":12088,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1326/","linkFileType":{"id":5,"text":"html"}},{"id":195088,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"English","state":"Virginia","otherGeospatial":"Colonial National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.58878330453562,\n 37.24480367084047\n ],\n [\n -76.58878330453562,\n 37.12472798288427\n ],\n [\n -76.44053594987184,\n 37.12472798288427\n ],\n [\n -76.44053594987184,\n 37.24480367084047\n ],\n [\n -76.58878330453562,\n 37.24480367084047\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a56e4b07f02db62d556","contributors":{"authors":[{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":301055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":301058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":301057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":301059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Travers, Laurinda J. ltravers@usgs.gov","contributorId":3002,"corporation":false,"usgs":true,"family":"Travers","given":"Laurinda","email":"ltravers@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":301056,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":97101,"text":"sim3050 - 2008 - State of Texas - Highlighting low-lying areas derived from USGS Digital Elevation Data","interactions":[],"lastModifiedDate":"2017-03-29T11:00:50","indexId":"sim3050","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"3050","title":"State of Texas - Highlighting low-lying areas derived from USGS Digital Elevation Data","docAbstract":"In support of U.S. Geological Survey (USGS) disaster preparedness efforts, this map depicts a color shaded relief representation of Texas and a grayscale relief of the surrounding areas. The first 30 feet of relief above mean sea level are displayed as brightly colored 5-foot elevation bands, which highlight low-elevation areas at a coarse spatial resolution. Standard USGS National Elevation Dataset (NED) 1 arc-second (nominally 30-meter) digital elevation model (DEM) data are the basis for the map, which is designed to be used at a broad scale and for informational purposes only.\r\n\r\nThe NED data were derived from the original 1:24,000-scale USGS topographic map bare-earth contours, which were converted into gridded quadrangle-based DEM tiles at a constant post spacing (grid cell size) of either 30 meters (data before the mid-1990s) or 10 meters (mid-1990s and later data). These individual-quadrangle DEMs were then converted to spherical coordinates (latitude/longitude decimal degrees) and edge-matched to ensure seamlessness. The NED source data for this map consists of a mixture of 30-meter- and 10-meter-resolution DEMs.\r\n\r\nState and county boundary, hydrography, city, and road layers were modified from USGS National Atlas data downloaded in 2003. The NED data were downloaded in 2002. Shaded relief over Mexico was obtained from the USGS National Atlas.\r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim3050","usgsCitation":"Kosovich, J.J., 2008, State of Texas - Highlighting low-lying areas derived from USGS Digital Elevation Data (Version 1.0): U.S. Geological Survey Scientific Investigations Map 3050, Map Sheet: 39 x 35 inches; Downloads Directory, https://doi.org/10.3133/sim3050.","productDescription":"Map Sheet: 39 x 35 inches; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":176,"text":"Central Region Geospatial Information Office","active":false,"usgs":true}],"links":[{"id":195552,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12082,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3050/","linkFileType":{"id":5,"text":"html"}}],"scale":"700000","projection":"Albers Conic Equal Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.5,25.5 ], [ -107.5,36.5 ], [ -92.75,36.5 ], [ -92.75,25.5 ], [ -107.5,25.5 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685a87","contributors":{"authors":[{"text":"Kosovich, John J. 0000-0002-3795-4436 jjkosovich@usgs.gov","orcid":"https://orcid.org/0000-0002-3795-4436","contributorId":1470,"corporation":false,"usgs":true,"family":"Kosovich","given":"John","email":"jjkosovich@usgs.gov","middleInitial":"J.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":301041,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97094,"text":"ofr20081340 - 2008 - Incorporation of Fine-Grained Sediment Erodibility Measurements into Sediment Transport Modeling, Capitol Lake, Washington","interactions":[],"lastModifiedDate":"2012-02-10T00:11:55","indexId":"ofr20081340","displayToPublicDate":"2008-11-20T00:00:00","publicationYear":"2008","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":"2008-1340","title":"Incorporation of Fine-Grained Sediment Erodibility Measurements into Sediment Transport Modeling, Capitol Lake, Washington","docAbstract":"Capitol Lake was created in 1951 with the construction of a concrete dam and control gate that prevented salt-water intrusion into the newly formed lake and regulated flow of the Deschutes River into southern Puget Sound. Physical processes associated with the former tidally dominated estuary were altered, and the dam structure itself likely caused an increase in retention of sediment flowing into the lake from the Deschutes River. Several efforts to manage sediment accumulation in the lake, including dredging and the construction of sediment traps upriver, failed to stop the lake from filling with sediment. The Deschutes Estuary Feasibility Study (DEFS) was carried out to evaluate the possibility of removing the dam and restoring estuarine processes as an alternative ongoing lake management. \r\n\r\nAn important component of DEFS was the creation of a hydrodynamic and sediment transport model of the restored Deschutes Estuary. Results from model simulations indicated that estuarine processes would be restored under each of four restoration alternatives, and that over time, the restored estuary would have morphological features similar to the predam estuary. The model also predicted that after dam-removal, a large portion of the sediment eroded from the lake bottom would be deposited near the Port of Olympia and a marina located in lower Budd Inlet seaward of the present dam. The volume of sediment transported downstream was a critical piece of information that managers needed to estimate the total cost of the proposed restoration project. However, the ability of the model to predict the magnitude of sediment transport in general and, in particular, the volume of sediment deposition in the port and marina was limited by a lack of information on the erodibility of fine-grained sediments in Capitol Lake. \r\n\r\nCores at several sites throughout Capitol Lake were collected between October 31 and November 1, 2007. The erodibility of sediments in the cores was later determined in the lab with Sedflume, an apparatus for measuring sediment erosion-parameters. In this report, we present results of the characterization of fine-grained sediment erodibility within Capitol Lake. The erodibility data were incorporated into the previously developed hydrodynamic and sediment transport model. Model simulations using the measured erodibility parameters were conducted to provide more robust estimates of the overall magnitudes and spatial patterns of sediment transport resulting from restoration of the Deschutes Estuary.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081340","usgsCitation":"Stevens, A., Gelfenbaum, G., Elias, E., and Jones, C., 2008, Incorporation of Fine-Grained Sediment Erodibility Measurements into Sediment Transport Modeling, Capitol Lake, Washington: U.S. Geological Survey Open-File Report 2008-1340, vi, 72 p., https://doi.org/10.3133/ofr20081340.","productDescription":"vi, 72 p.","onlineOnly":"Y","temporalStart":"2007-10-31","temporalEnd":"2007-11-01","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":195906,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12075,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1340/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123,47 ], [ -123,47.15 ], [ -122.8,47.15 ], [ -122.8,47 ], [ -123,47 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c0e0","contributors":{"authors":[{"text":"Stevens, Andrew W.","contributorId":89093,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew W.","affiliations":[],"preferred":false,"id":301029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gelfenbaum, Guy","contributorId":79844,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","affiliations":[],"preferred":false,"id":301028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elias, Edwin","contributorId":50615,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","affiliations":[],"preferred":false,"id":301027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Craig","contributorId":104173,"corporation":false,"usgs":true,"family":"Jones","given":"Craig","affiliations":[],"preferred":false,"id":301030,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97093,"text":"ofr20081318 - 2008 - Water-quality, bed-sediment, and biological data (October 2006 through September 2007) and statistical summaries of long-term data for streams in the Clark Fork Basin, Montana","interactions":[],"lastModifiedDate":"2019-09-18T16:10:38","indexId":"ofr20081318","displayToPublicDate":"2008-11-20T00:00:00","publicationYear":"2008","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":"2008-1318","displayTitle":"Water-quality, bed-sediment, and biological data (October 2006 through September 2007) and Statistical Summaries of Long-Term Data for Streams in the Clark Fork Basin, Montana","title":"Water-quality, bed-sediment, and biological data (October 2006 through September 2007) and statistical summaries of long-term data for streams in the Clark Fork Basin, Montana","docAbstract":"Water, bed sediment, and biota were sampled in streams from Butte to below Milltown Reservoir as part of a long-term monitoring program in the upper Clark Fork basin; additional water-quality samples were collected in the Clark Fork basin from sites near Milltown Reservoir downstream to near the confluence of the Clark Fork and Flathead River as part of a supplemental sampling program. The sampling programs were conducted in cooperation with the U.S. Environmental Protection Agency to characterize aquatic resources in the Clark Fork basin of western Montana, with emphasis on trace elements associated with historic mining and smelting activities. Sampling sites were located on the Clark Fork and selected tributaries. Water-quality samples were collected periodically at 22 sites from October 2006 through September 2007. Bed-sediment and biological samples were collected once at 12 sites during August 2007.\r\n\r\nThis report presents the analytical results and quality-assurance data for water-quality, bed-sediment, and biota samples collected at all long-term and supplemental monitoring sites from October 2006 through September 2007. Water-quality data include concentrations of selected major ions, trace elements, and suspended sediment. Turbidity was analyzed for samples collected at sites where seasonal daily values of turbidity were being determined. Nutrients also were analyzed in the supplemental water-quality samples. Daily values of suspended-sediment concentration and suspended-sediment discharge were determined for four sites, and seasonal daily values of turbidity were determined for five sites. Bed-sediment data include trace-element concentrations in the fine-grained fraction. Biological data include trace-element concentrations in whole-body tissue of aquatic benthic insects. Statistical summaries of long-term water-quality, bed-sediment, and biological data for sites in the upper Clark Fork basin are provided for the period of record since 1985.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081318","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Dodge, K.A., Hornberger, M.I., and Dyke, J., 2008, Water-quality, bed-sediment, and biological data (October 2006 through September 2007) and statistical summaries of long-term data for streams in the Clark Fork Basin, Montana (Version 1.0): U.S. Geological Survey Open-File Report 2008-1318, vi, 134 p., https://doi.org/10.3133/ofr20081318.","productDescription":"vi, 134 p.","temporalStart":"2006-10-01","temporalEnd":"2007-09-30","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":198230,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":367521,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1318/pdf/ofr2008-1318.pdf"},{"id":12074,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1318/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.5,45.5 ], [ -115.5,48 ], [ -112,48 ], [ -112,45.5 ], [ -115.5,45.5 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db697f13","contributors":{"authors":[{"text":"Dodge, Kent A. kdodge@usgs.gov","contributorId":1036,"corporation":false,"usgs":true,"family":"Dodge","given":"Kent","email":"kdodge@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":301026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dyke, Jessica jldyke@usgs.gov","contributorId":1035,"corporation":false,"usgs":true,"family":"Dyke","given":"Jessica","email":"jldyke@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":301024,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236296,"text":"70236296 - 2008 - Boreal soil carbon dynamics under a changing climate: A model inversion approach","interactions":[],"lastModifiedDate":"2022-08-31T16:55:13.288911","indexId":"70236296","displayToPublicDate":"2008-11-15T11:49:39","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7359,"text":"Journal of Geophysical Research Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Boreal soil carbon dynamics under a changing climate: A model inversion approach","docAbstract":"Several fundamental but important factors controlling the feedback of boreal organic carbon (OC) to climate change were examined using a mechanistic model of soil OC dynamics, including the combined effects of temperature and moisture on the decomposition of OC and the factors controlling carbon quality and decomposition with depth. To estimate decomposition rates and evaluate their variations with depth, the model was inverted using a global optimization algorithm. Three sites with different drainage conditions that represent a broad diversity of boreal black spruce ecosystems were modeled. The comparison among the models with different depth patterns of decomposition rates (i.e., constant, linear, and exponential decrease) revealed that the model with constant inherent decomposition rates through the soil profile was able to fit the observed data in the most efficient way. There were also lower turnover times in the wettest site compared to the drier site even after accounting for moisture and temperature differences. Taken together, these results indicate that decomposition (especially for the wetter site) was not accurately represented with standard moisture and temperature controls and that other important protection mechanisms (e.g., limitation of O2, redox conditions, and permafrost) rather than low inherent decomposition rates are responsible for the recalcitrance of deep OC. The simulation results also showed that most of the soil CO2 efflux is generated from subsurface layers of OC because of the large OC stocks and optimal moisture conditions, suggesting that these deeper soil OC stocks are likely to be critically important to the future carbon dynamics.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2008JG000723","usgsCitation":"Fan, Z., Neff, J.C., Harden, J.W., and Wickland, K.P., 2008, Boreal soil carbon dynamics under a changing climate: A model inversion approach: Journal of Geophysical Research Biogeosciences, v. 113, no. G4, G04016, 13 p., https://doi.org/10.1029/2008JG000723.","productDescription":"G04016, 13 p.","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":476587,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008jg000723","text":"Publisher Index Page"},{"id":406008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"G4","noUsgsAuthors":false,"publicationDate":"2008-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Fan, Zhaosheng","contributorId":83410,"corporation":false,"usgs":true,"family":"Fan","given":"Zhaosheng","affiliations":[],"preferred":false,"id":850503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neff, Jason C.","contributorId":34813,"corporation":false,"usgs":true,"family":"Neff","given":"Jason","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":850504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":850505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":850506,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97082,"text":"ds347 - 2008 - Water- and air-quality monitoring of Sweetwater Reservoir watershed, San Diego County, California — Phase one results continued, 2001-2003","interactions":[],"lastModifiedDate":"2022-07-22T21:42:45.080705","indexId":"ds347","displayToPublicDate":"2008-11-08T00:00:00","publicationYear":"2008","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":"347","title":"Water- and air-quality monitoring of Sweetwater Reservoir watershed, San Diego County, California — Phase one results continued, 2001-2003","docAbstract":"In 1998, the U.S. Geological Survey, in cooperation with the Sweetwater Authority, began a study to monitor water, air, and sediment at the Sweetwater and Loveland Reservoirs in San Diego County, California. The study includes regular sampling of water and air at Sweetwater Reservoir for chemical constituents, including volatile organic compounds (VOC), polynuclear aromatic hydrocarbons (PAH), pesticides, and major and trace elements.
The purpose of this study is to monitor changes in contaminant composition and concentration during the construction and operation of State Route 125. To accomplish this, the study was divided into two phases. Phase One sampling (water years 1998–2004) determined baseline conditions for the detection frequency and the concentrations of target compounds in air and water. Phase Two sampling (starting water year 2005) continues at selected monitoring sites during and after construction of State Route 125 to assess the chemical impact this roadway alignment may have on water quality in the reservoir. Water samples were collected for VOCs and pesticides at Loveland Reservoir during Phase One and will be collected during Phase Two for comparison purposes. Air samples collected to monitor changes in VOCs, PAHs, and pesticides were analyzed by adapting methods used to analyze water samples. Bed-sediment samples have been and will be collected three times during the study; at the beginning of Phase One, at the start of Phase Two, and near the end of the study.
In addition to the ongoing data collection, several special studies were initiated to assess the occurrence of specific chemicals of concern, such as trace metals, anthropogenic indicator compounds, and pharmaceuticals. This report describes the study design, and the sampling and analytical methods, and presents data from water and air samples collected during the fourth and fifth years of Phase One of the study (October 2001 to September 2003). Data collected during the first three years has been previously published.
Three types of quality-control samples were used in this study: blanks, spikes, and replicates. Blanks and spikes are used to estimate result bias, and replicates are used to estimate result variability. Additionally, surrogate compounds were added at the laboratory to samples of VOCs, PAHs, pesticides, anthropogenic indicator compounds, and pharmaceuticals to monitor sample-specific performance of the analytical method.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds347","collaboration":"Prepared in cooperation with the Sweetwater Authority","usgsCitation":"Mendez, G.O., Foreman, W., Morita, A., and Majewski, M.S., 2008, Water- and air-quality monitoring of Sweetwater Reservoir watershed, San Diego County, California — Phase one results continued, 2001-2003: U.S. Geological Survey Data Series 347, viii, 157 p., https://doi.org/10.3133/ds347.","productDescription":"viii, 157 p.","temporalStart":"2001-10-01","temporalEnd":"2003-09-30","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":196193,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":404398,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_85266.htm","linkFileType":{"id":5,"text":"html"}},{"id":12059,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/347/","linkFileType":{"id":5,"text":"html"}},{"id":341833,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/347/pdf/ds347.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"Sweetwater Reservoir watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.1231,\n 32.6167\n ],\n [\n -116.5,\n 32.6167\n ],\n [\n -116.5,\n 32.9667\n ],\n [\n -117.1231,\n 32.9667\n ],\n [\n -117.1231,\n 32.6167\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adfe4b07f02db687ca3","contributors":{"authors":[{"text":"Mendez, Gregory O. 0000-0002-9955-3726 gomendez@usgs.gov","orcid":"https://orcid.org/0000-0002-9955-3726","contributorId":1489,"corporation":false,"usgs":true,"family":"Mendez","given":"Gregory","email":"gomendez@usgs.gov","middleInitial":"O.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":300984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":300983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morita, Andrew 0000-0002-8120-996X","orcid":"https://orcid.org/0000-0002-8120-996X","contributorId":52292,"corporation":false,"usgs":true,"family":"Morita","given":"Andrew","affiliations":[],"preferred":false,"id":300985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Majewski, Michael S. majewski@usgs.gov","contributorId":440,"corporation":false,"usgs":true,"family":"Majewski","given":"Michael","email":"majewski@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":300982,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97078,"text":"sir20085175 - 2008 - Assessing gas-hydrate prospects on the North Slope of Alaska—Theoretical considerations","interactions":[],"lastModifiedDate":"2018-08-28T15:55:39","indexId":"sir20085175","displayToPublicDate":"2008-11-08T00:00:00","publicationYear":"2008","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":"2008-5175","title":"Assessing gas-hydrate prospects on the North Slope of Alaska—Theoretical considerations","docAbstract":"Gas-hydrate resource assessment on the Alaska North Slope using 3-D and 2-D seismic data involved six important steps: (1) determining the top and base of the gas-hydrate stability zone, (2) 'tying' well log information to seismic data through synthetic seismograms, (3) differentiating ice from gas hydrate in the permafrost interval, (4) developing an acoustic model for the reservoir and seal, (5) developing a method to estimate gas-hydrate saturation and thickness from seismic attributes, and (6) assessing the potential gas-hydrate prospects from seismic data based on potential migration pathways, source, reservoir quality, and other relevant geological information. This report describes the first five steps in detail using well logs and provides theoretical backgrounds for resource assessments carried out by the U.S. Geological Survey.\r\n\r\nMeasured and predicted P-wave velocities enabled us to tie synthetic seismograms to the seismic data. The calculated gas-hydrate stability zone from subsurface wellbore temperature data enabled us to focus our effort on the most promising depth intervals in the seismic data. A typical reservoir in this area is characterized by the P-wave velocity of 1.88 km/s, porosity of 42 percent, and clay volume content of 5 percent, whereas seal sediments encasing the reservoir are characterized by the P-wave velocity of 2.2 km/s, porosity of 32 percent, and clay volume content of 20 percent. Because the impedance of a reservoir without gas hydrate is less than that of the seal, a complex amplitude variation with respect to gas-hydrate saturation is predicted, namely polarity change, amplitude blanking, and high seismic amplitude (a bright spot). This amplitude variation with gas-hydrate saturation is the physical basis for the method used to quantify the resource potential of gas hydrates in this assessment.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085175","usgsCitation":"Lee, M.W., Collett, T.S., and Agena, W.F., 2008, Assessing gas-hydrate prospects on the North Slope of Alaska—Theoretical considerations (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5175, iv, 28 p., https://doi.org/10.3133/sir20085175.","productDescription":"iv, 28 p.","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":126874,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5175.jpg"},{"id":356874,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2008/5175/pdf/SIR08-5175_508.pdf","text":"Report","size":"5.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":12055,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2008/5175/","text":"Index Page","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672ad1","contributors":{"authors":[{"text":"Lee, Myung W. mlee@usgs.gov","contributorId":779,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"mlee@usgs.gov","middleInitial":"W.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":300973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":300974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agena, Warren F. wagena@usgs.gov","contributorId":3181,"corporation":false,"usgs":true,"family":"Agena","given":"Warren","email":"wagena@usgs.gov","middleInitial":"F.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":300975,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97081,"text":"ofr20081298 - 2008 - Inventory of Data Sources Used for Watershed Condition Assessments of Fire Island National Seashore, Gateway National Recreation Area, and Sagamore Hill National Historic Site, New York and New Jersey","interactions":[],"lastModifiedDate":"2012-03-08T17:16:31","indexId":"ofr20081298","displayToPublicDate":"2008-11-08T00:00:00","publicationYear":"2008","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":"2008-1298","title":"Inventory of Data Sources Used for Watershed Condition Assessments of Fire Island National Seashore, Gateway National Recreation Area, and Sagamore Hill National Historic Site, New York and New Jersey","docAbstract":"The natural resources and watershed conditions of National Park units in the New York-New Jersey area - Gateway National Recreation Area (GATE), Sagamore Hill National Historic Site (SAHI), and Fire Island National Seashore (FIIS) - are threatened by different degrees of urbanization and direct or indirect human use. Such threats as nutrient enrichment, sedimentation, exotic species invasion, water pollution, and development pose serious management concerns for these parks. Limited investigations of the status of different natural resources at or near each park have been conducted, but a comprehensive understanding of the natural resources and watershed conditions at FIIS, GATE, and SAHI is needed. This report details the sources of spatial data and metadata assembled into a Geographic Information System (GIS) for the purpose of assessing natural resources and watershed conditions at GATE, SAHI, and FIIS.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081298","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Benotti, M.J., 2008, Inventory of Data Sources Used for Watershed Condition Assessments of Fire Island National Seashore, Gateway National Recreation Area, and Sagamore Hill National Historic Site, New York and New Jersey: U.S. Geological Survey Open-File Report 2008-1298, vi, 13 p., https://doi.org/10.3133/ofr20081298.","productDescription":"vi, 13 p.","onlineOnly":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":196507,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12058,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1298/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.33333333333333,40.25 ], [ -74.33333333333333,41.166666666666664 ], [ -72.33333333333333,41.166666666666664 ], [ -72.33333333333333,40.25 ], [ -74.33333333333333,40.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49afe4b07f02db5c8bcf","contributors":{"authors":[{"text":"Benotti, Mark J.","contributorId":56315,"corporation":false,"usgs":true,"family":"Benotti","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":300981,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97080,"text":"sir20085185 - 2008 - Regression method for estimating long-term mean annual ground-water recharge rates from base flow in Pennsylvania","interactions":[],"lastModifiedDate":"2017-06-20T11:46:17","indexId":"sir20085185","displayToPublicDate":"2008-11-08T00:00:00","publicationYear":"2008","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":"2008-5185","title":"Regression method for estimating long-term mean annual ground-water recharge rates from base flow in Pennsylvania","docAbstract":"A method was developed for making estimates of long-term, mean annual ground-water recharge from streamflow data at 80 streamflow-gaging stations in Pennsylvania. The method relates mean annual base-flow yield derived from the streamflow data (as a proxy for recharge) to the climatic, geologic, hydrologic, and physiographic characteristics of the basins (basin characteristics) by use of a regression equation. \r\n\r\nBase-flow yield is the base flow of a stream divided by the drainage area of the basin, expressed in inches of water basinwide. Mean annual base-flow yield was computed for the period of available streamflow record at continuous streamflow-gaging stations by use of the computer program PART, which separates base flow from direct runoff on the streamflow hydrograph. Base flow provides a reasonable estimate of recharge for basins where streamflow is mostly unaffected by upstream regulation, diversion, or mining. \r\n\r\nTwenty-eight basin characteristics were included in the exploratory regression analysis as possible predictors of base-flow yield. Basin characteristics found to be statistically significant predictors of mean annual base-flow yield during 1971-2000 at the 95-percent confidence level were (1) mean annual precipitation, (2) average maximum daily temperature, (3) percentage of sand in the soil, (4) percentage of carbonate bedrock in the basin, and (5) stream channel slope. The equation for predicting recharge was developed using ordinary least-squares regression. The standard error of prediction for the equation on log-transformed data was 9.7 percent, and the coefficient of determination was 0.80.\r\n\r\nThe equation can be used to predict long-term, mean annual recharge rates for ungaged basins, providing that the explanatory basin characteristics can be determined and that the underlying assumption is accepted that base-flow yield derived from PART is a reasonable estimate of ground-water recharge rates. For example, application of the equation for 370 hydrologic units in Pennsylvania predicted a range of ground-water recharge from about 6.0 to 22 inches per year. A map of the predicted recharge illustrates the general magnitude and variability of recharge throughout Pennsylvania.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085185","collaboration":"Prepared in cooperation with the Pennsylvania Department of Conservation and Natural Resources, Bureau of Topographic and Geologic Survey","usgsCitation":"Risser, D.W., Thompson, R., and Stuckey, M.H., 2008, Regression method for estimating long-term mean annual ground-water recharge rates from base flow in Pennsylvania: U.S. Geological Survey Scientific Investigations Report 2008-5185, 23 p., https://doi.org/10.3133/sir20085185.","productDescription":"23 p.","onlineOnly":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":12057,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5185/","linkFileType":{"id":5,"text":"html"}},{"id":195211,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,39 ], [ -81,42.5 ], [ -74,42.5 ], [ -74,39 ], [ -81,39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a27e4b07f02db60ffbe","contributors":{"authors":[{"text":"Risser, Dennis W. 0000-0001-9597-5406 dwrisser@usgs.gov","orcid":"https://orcid.org/0000-0001-9597-5406","contributorId":898,"corporation":false,"usgs":true,"family":"Risser","given":"Dennis","email":"dwrisser@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":300978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Ronald E.","contributorId":27958,"corporation":false,"usgs":true,"family":"Thompson","given":"Ronald E.","affiliations":[],"preferred":false,"id":300980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stuckey, Marla H. 0000-0002-5211-8444 mstuckey@usgs.gov","orcid":"https://orcid.org/0000-0002-5211-8444","contributorId":1734,"corporation":false,"usgs":true,"family":"Stuckey","given":"Marla","email":"mstuckey@usgs.gov","middleInitial":"H.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":300979,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97079,"text":"sir20085151 - 2008 - Variation in biotic assemblages and stream-habitat data with sampling strategy and method in tidal segments of Highland and Marchand Bayous, Galveston County, Texas, 2007","interactions":[],"lastModifiedDate":"2016-08-23T12:51:43","indexId":"sir20085151","displayToPublicDate":"2008-11-08T00:00:00","publicationYear":"2008","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":"2008-5151","title":"Variation in biotic assemblages and stream-habitat data with sampling strategy and method in tidal segments of Highland and Marchand Bayous, Galveston County, Texas, 2007","docAbstract":"The U.S. Geological Survey, in cooperation with the Houston-Galveston Area Council and the Galveston Bay Estuary Program under the authority of the Texas Commission on Environmental Quality, did a study in 2007 to assess the variation in biotic assemblages (benthic macroinvertebrate and fish communities) and stream-habitat data with sampling strategy and method in tidal segments of Highland Bayou and Marchand Bayou in Galveston County. Data were collected once in spring and once in summer 2007 from four stream sites (reaches) (short names Hitchcock, Fairwood, Bayou Dr, and Texas City) of Highland Bayou and from one reach (short name Marchand) in Marchand Bayou. Only stream-habitat data from summer 2007 samples were used for this report. Additional samples were collected at the Hitchcock, Fairwood, and Bayou Dr reaches (multisample reaches) during summer 2007 to evaluate variation resulting from sampling intensity and location. Graphical analysis of benthic macroinvertebrate community data using a multidimensional scaling technique indicates there are taxonomic differences between the spring and summer samples. Seasonal differences in communities primarily were related to decreases in the abundance of chironomids and polychaetes in summer samples. Multivariate Analysis of Similarities tests of additional summer 2007 benthic macroinvertebrate samples from Hitchcock, Fairwood, and Bayou Dr indicated significant taxonomic differences between the sampling locations at all three reaches. In general, the deepwater samples had the smallest numbers for benthic macroinvertebrate taxa richness and abundance. Graphical analysis of species-level fish data indicates no consistent seasonal difference in fish taxa across reaches. Increased seining intensity at the multisample reaches did not result in a statistically significant difference in fish communities. Increased seining resulted in some changes in taxa richness and community diversity metrics. Diversity increases associated with increased electrofishing intensity were relatively consistent across the two multisample electrofishing reaches (Hitchcock and Fairwood). Differences in the physical characteristics of the Highland and Marchand Bayou reaches are largely the result of the differences in channel gradient and position in the drainage network or watershed of each reach. No trees were observed on the bank adjacent to the five transects at either the Bayou Dr or Texas City reaches. Riparian vegetation at the more downstream Fairwood, Bayou Dr, and Texas City reaches was dominated by less-woody and more-herbaceous shrubs, and grasses and forbs, than at the more upstream Hitchcock and Marchand reaches. The width of the vegetation buffer was variable among all reaches and appeared to be more related to the extent of anthropogenic development in the riparian zone rather than to natural changes in the riparian buffer. Four additional transects per reach were sampled for habitat variables at Hitchcock, Fairwood, and Bayou Dr. Medians of most stream-habitat variables changed with increased sampling intensity (addition of two and four transects to the standard five transects), although none of the differences in medians were statistically significant. All habitat quality index values for the five reaches scored in the intermediate category. Increasing sampling intensity did not change the habitat quality index score for any of the reaches.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085151","collaboration":"Prepared in cooperation with the Houston-Galveston Area Council and the Galveston Bay Estuary Program under the authority of the Texas Commission on Environmental Quality","usgsCitation":"Mabe, J.A., and Moring, J., 2008, Variation in biotic assemblages and stream-habitat data with sampling strategy and method in tidal segments of Highland and Marchand Bayous, Galveston County, Texas, 2007 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5151, vi, 41 p., https://doi.org/10.3133/sir20085151.","productDescription":"vi, 41 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":124855,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5151.jpg"},{"id":327659,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2008/5151/pdf/sir2008-5151.pdf","size":"11.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":12056,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5151/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.16666666666667,29.25 ], [ -95.16666666666667,29.5 ], [ -94.83333333333333,29.5 ], [ -94.83333333333333,29.25 ], [ -95.16666666666667,29.25 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49b9e4b07f02db5cda32","contributors":{"authors":[{"text":"Mabe, Jeffrey A.","contributorId":65565,"corporation":false,"usgs":true,"family":"Mabe","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":300977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moring, J. Bruce","contributorId":53372,"corporation":false,"usgs":true,"family":"Moring","given":"J. Bruce","affiliations":[],"preferred":false,"id":300976,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}