{"pageNumber":"824","pageRowStart":"20575","pageSize":"25","recordCount":46883,"records":[{"id":81821,"text":"ds338 - 2008 - Level 1 water-quality inventory of baseline levels of pesticides in urban creeks: Golden Gate National Recreation Area and Presidio of San Francisco, California","interactions":[],"lastModifiedDate":"2022-06-29T21:18:22.96897","indexId":"ds338","displayToPublicDate":"2008-06-04T00:00:00","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":"338","title":"Level 1 water-quality inventory of baseline levels of pesticides in urban creeks: Golden Gate National Recreation Area and Presidio of San Francisco, California","docAbstract":"To characterize baseline water-quality levels of pesticides in Golden Gate National Recreation Area and the Presidio of San Francisco, the U.S. Geological Survey collected and analyzed surface-water and bed-sediment samples at 10 creeks during February, April, and July 2006. Pesticide data were obtained using previously developed methods. Samples from sites in the Presidio were analyzed only for pyrethroid insecticides, whereas the remaining samples were analyzed for pyrethroids and additional current and historical-use pesticides. Pesticide concentrations were low in both the water (below 30 ng/L) and sediment (below 3 ng/g). The pyrethroid bifenthrin was detected in water samples from two sites at concentrations below 2 ng/L. Other compounds detected in water included the herbicides dacthal (DCPA) and prometryn, the insecticide fipronil, the insecticide degradates p,p'-DDE and fipronil sulfone, and the fungicides cyproconazole, myclobutanil and tetraconazole. The only pesticides detected in the sediment samples were p,p'-DDT and its degradates (p,p'-DDD and p,p'-DDE). Pesticide information from the samples collected can provide a reference point for future sampling and can help National Park Service managers assess the water quality of the urban creeks.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds338","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Hladik, M., and Orlando, J., 2008, Level 1 water-quality inventory of baseline levels of pesticides in urban creeks: Golden Gate National Recreation Area and Presidio of San Francisco, California: U.S. Geological Survey Data Series 338, vi, 14 p., https://doi.org/10.3133/ds338.","productDescription":"vi, 14 p.","temporalStart":"2006-02-01","temporalEnd":"2006-07-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":190815,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402723,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83698.htm","linkFileType":{"id":5,"text":"html"}},{"id":11382,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/338/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"Golden Gate National Recreation Area, Presidio","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.62390136718749,\n              37.591383348725785\n            ],\n            [\n              -122.42477416992186,\n              37.591383348725785\n            ],\n            [\n              -122.42477416992186,\n              37.90736658145496\n            ],\n            [\n              -122.62390136718749,\n              37.90736658145496\n            ],\n            [\n              -122.62390136718749,\n              37.591383348725785\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a56ff","contributors":{"authors":[{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":295753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":295754,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211028,"text":"70211028 - 2008 - Use of body mass, footpad length, and wing chord to determine sex in Swainson's Hawks","interactions":[],"lastModifiedDate":"2020-07-10T14:51:39.220169","indexId":"70211028","displayToPublicDate":"2008-06-01T09:49:10","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Use of body mass, footpad length, and wing chord to determine sex in Swainson's Hawks","docAbstract":"<p><span>Many studies of avian ecology require an expedient means to determine sex, and the use of molecular techniques has provided an effective and accurate means to determine sex of raptors in the field (</span>Sarasola and Negro 2004<span>,&nbsp;</span>Donohue and Dufty 2006<span>). Sometimes investigators need to rely on morphometric measurements to determine sex of monochromatic species such as Swainson's Hawks (</span><i><span class=\"genus-species\">Buteo swainsoni</span></i><span>) because they lack funds or facilities to use molecular techniques or they are analyzing extant data. Discriminant analyses conducted on morphometric measurements have been effective for sexing many raptor species (e.g.,&nbsp;</span>Edwards and Kochert 1986<span>,&nbsp;</span>Bavoux et al. 2006<span>,&nbsp;</span>Donohue and Dufty 2006<span>).&nbsp;</span>Sarasola and Negro (2004)<span>&nbsp;recently reported on the effectiveness of seven morphometric measurements as means to identify sex of Swainson's Hawks on the hawk's austral summer areas in Argentina. They proposed a combination of the length of forearm, wing chord, and tail as an effective means to determine sex, with an overall accuracy of 93%. However,&nbsp;</span>Sarasola and Negro (2004)<span>&nbsp;did not assess the effectiveness of using footpad length (sometimes called toe-pad) to classify sex of these hawks. Footpad length and mass were quite effective in sexing Golden Eagles (</span><i><span class=\"genus-species\">Aquila chrysaetos</span></i><span>), a species with a degree of dimorphism similar to that of Swainson's Hawks (</span>Snyder and Wiley 1976<span>), with an overall accuracy of 98% (</span>Edwards and Kochert 1986<span>). We here report the utility of using footpad length and mass, as well as wing chord length, as a means of sexing Swainson's Hawks on the nesting grounds.</span></p>","language":"English","publisher":"BioOne","doi":"10.3356/JRR-07-33.1","usgsCitation":"Kochert, M.N., and McKinley, J.O., 2008, Use of body mass, footpad length, and wing chord to determine sex in Swainson's Hawks: Journal of Raptor Research, v. 42, no. 2, p. 138-141, https://doi.org/10.3356/JRR-07-33.1.","productDescription":"4 p.","startPage":"138","endPage":"141","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"links":[{"id":476604,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-07-33.1","text":"Publisher Index Page"},{"id":376261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","city":"Boise","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.36306762695312,\n              43.442948806351396\n            ],\n            [\n              -116.026611328125,\n              43.442948806351396\n            ],\n            [\n              -116.026611328125,\n              43.71156424665851\n            ],\n            [\n              -116.36306762695312,\n              43.71156424665851\n            ],\n            [\n              -116.36306762695312,\n              43.442948806351396\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":792481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinley, James O.","contributorId":176823,"corporation":false,"usgs":false,"family":"McKinley","given":"James","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":792482,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70142180,"text":"70142180 - 2008 - Spawning Cisco investigations in Canada waters of Lake Superior during 2007","interactions":[],"lastModifiedDate":"2017-05-18T12:10:26","indexId":"70142180","displayToPublicDate":"2008-06-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Spawning Cisco investigations in Canada waters of Lake Superior during 2007","docAbstract":"<p><span>Cisco&nbsp;</span><i>Coregonus artedi</i><span>&nbsp;form pre-spawning aggregations in Lake Superior during November with the bulk of spawning occurring during late November through early December (Dryer and Beil 1964). Eggs are broadcast into open water (Smith 1956) with fertilized eggs settling to the lakebed (Dryer and Beil 1964). Peak hatching occurs the following May (United States Geological Survey &ndash; Great Lakes Science Center, GLSC, unpublished data). Interannual variability in year class strength is high, but tends to be synchronous across different regions of Lake Superior (Bronte et al. 2003). November 2005 sampling of Thunder Bay showed 14 year-classes were present with the oldest fish being from the 1984 year-class (Yule et al. 2008). The ciscoes sampled were predominantly from five year classes that hatched during 1988, 1989, 1990, 1998, and 2003. These same strong year-classes were found in the western arm of Lake Superior during November 2006 (GLSC, unpublished data). Growth is rapid in the first few years of life with minimal growth after age-8 (Yule et al. 2008). Ciscoes exceeding 250 mm total length (TL) are typically sexually mature (Yule et al. 2006b, 2008). Thunder Bay ciscoes have high annual survival with rates for females and males averaging 0.80 and 0.75, respectively; females have higher rates of fishing-induced mortality compared to males but lower rates of natural mortality (Yule et al. 2008). Some Lake Superior stocks are currently commercially fished with the bulk of harvest occurring during November when fishers target females for their roe. The bulk of fish are harvested from Thunder Bay using suspended gillnets with mesh sizes ranging from 79-89 mm stretch measure. Ciscoes younger then age-5 make up a very small proportion (&lt;0.1%) of the harvest (Yule, et al. 2008).</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/70142180","usgsCitation":"Yule, D.L., Evrard, L.M., Cholwek, G.A., Addison, P.A., and Cullis, K.I., 2008, Spawning Cisco investigations in Canada waters of Lake Superior during 2007, 32 p., https://doi.org/10.3133/70142180.","productDescription":"32 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-006929","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":312653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"Canada","otherGeospatial":"Thunder Bay; Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.04006958007812,\n              48.268569112964336\n            ],\n            [\n              -89.04693603515625,\n              48.26034139584532\n            ],\n            [\n              -89.03182983398438,\n              48.25119793455411\n            ],\n            [\n              -88.9013671875,\n              48.26765498757743\n            ],\n            [\n              -88.93844604492188,\n              48.30146673770983\n            ],\n            [\n              -88.93020629882812,\n              48.323386716330916\n            ],\n            [\n              -88.90548706054686,\n              48.356249029540706\n            ],\n            [\n              -88.89724731445311,\n              48.36811076994179\n            ],\n            [\n              -88.87390136718749,\n              48.36811076994179\n            ],\n            [\n              -88.86428833007812,\n              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levrard@usgs.gov","orcid":"https://orcid.org/0000-0001-8582-5818","contributorId":2720,"corporation":false,"usgs":true,"family":"Evrard","given":"Lori","email":"levrard@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":541691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cholwek, Gary A. gcholwek@usgs.gov","contributorId":2719,"corporation":false,"usgs":true,"family":"Cholwek","given":"Gary","email":"gcholwek@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":541690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Addison, Peter A.","contributorId":105987,"corporation":false,"usgs":true,"family":"Addison","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":583042,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cullis, Ken I.","contributorId":150786,"corporation":false,"usgs":false,"family":"Cullis","given":"Ken","email":"","middleInitial":"I.","affiliations":[{"id":13173,"text":"Ontario Ministry of Natural Resources, Upper Great Lakes Management Unit","active":true,"usgs":false}],"preferred":false,"id":583043,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179525,"text":"70179525 - 2008 - Spatial elements of mortality risk in old-growth forests","interactions":[],"lastModifiedDate":"2017-01-04T11:36:02","indexId":"70179525","displayToPublicDate":"2008-06-01T00:00:00","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":"Spatial elements of mortality risk in old-growth forests","docAbstract":"<p>For many species of long-lived organisms, such as trees, survival appears to be the most critical vital rate affecting population persistence. However, methods commonly used to quantify tree death, such as relating tree mortality risk solely to diameter growth, almost certainly do not account for important spatial processes. Our goal in this study was to detect and, if present, to quantify the relevance of such processes. For this purpose, we examined purely spatial aspects of mortality for four species, <span class=\"genusSpeciesInfoAsset\">Abies concolor</span>, <span class=\"genusSpeciesInfoAsset\">Abies magnifica</span>, <span class=\"genusSpeciesInfoAsset\">Calocedrus decurrens</span>, and <span class=\"genusSpeciesInfoAsset\">Pinus lambertiana</span>, in an old-growth conifer forest in the Sierra Nevada of California, USA. The analysis was performed using data from nine fully mapped long-term monitoring plots.</p><p>In three cases, the results unequivocally supported the inclusion of spatial information in models used to predict mortality. For <span class=\"genusSpeciesInfoAsset\">Abies concolor</span>, our results suggested that growth rate may not always adequately capture increased mortality risk due to competition. We also found evidence of a facilitative effect for this species, with mortality risk decreasing with proximity to conspecific neighbors. For <span class=\"genusSpeciesInfoAsset\">Pinus lambertiana</span>, mortality risk increased with density of conspecific neighbors, in keeping with a mechanism of increased pathogen or insect pressure (i.e., a Janzen-Connell type effect). Finally, we found that models estimating risk of being crushed were strongly improved by the inclusion of a simple index of spatial proximity.</p><p>Not only did spatial indices improve models, those improvements were relevant for mortality prediction. For <span class=\"genusSpeciesInfoAsset\">P. lambertiana</span>, spatial factors were important for estimation of mortality risk regardless of growth rate. For <span class=\"genusSpeciesInfoAsset\">A. concolor</span>, although most of the population fell within spatial conditions in which mortality risk was well described by growth, trees that died occurred outside those conditions in a disproportionate fashion. Furthermore, as stands of <span class=\"genusSpeciesInfoAsset\">A. concolor</span> become increasingly dense, such spatial factors are likely to become increasingly important. In general, models that fail to account for spatial pattern are at risk of failure as conditions change.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/07-0524.1","usgsCitation":"Das, A., Battles, J., van Mantgem, P.J., and Stephenson, N.L., 2008, Spatial elements of mortality risk in old-growth forests: Ecology, v. 89, no. 6, p. 1744-1756, https://doi.org/10.1890/07-0524.1.","productDescription":"13 p.","startPage":"1744","endPage":"1756","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":332855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586e182fe4b0f5ce109fcb19","contributors":{"authors":[{"text":"Das, Adrian","contributorId":73935,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","affiliations":[],"preferred":false,"id":657566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battles, John","contributorId":21064,"corporation":false,"usgs":true,"family":"Battles","given":"John","email":"","affiliations":[],"preferred":false,"id":657567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":657568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":657569,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":81328,"text":"ds346 - 2008 - Archive of digital boomer seismic reflection data collected during USGS field activity 96LCA04 in Lakes Mabel and Starr, Central Florida, August 1996","interactions":[],"lastModifiedDate":"2023-12-07T17:28:25.035558","indexId":"ds346","displayToPublicDate":"2008-05-30T00:00:00","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":"346","title":"Archive of digital boomer seismic reflection data collected during USGS field activity 96LCA04 in Lakes Mabel and Starr, Central Florida, August 1996","docAbstract":"In August of 1996, the U.S. Geological Survey conducted geophysical surveys of Lakes Mabel and Starr, central Florida, as part of the Central Highlands Lakes project, which is part of a larger USGS Lakes and Coastal Aquifers (LCA) study. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, Geographic Information System (GIS) files, observer's logbook; and formal Federal Geographic Data Committee (FGDC) metadata. Filtered and gained (a relative increase in signal amplitude) digital images of the seismic profiles are also provided. Refer to the Acronyms page for expansions of acronyms and abbreviations used in this report. For detailed information about the hydrologic setting of Lake Starr and the interpretation of some of these seismic reflection data, see Swancar and others (2000) at http://fl.water.usgs.gov/publications/Abstracts/wri00_4030_swancar.html.\r\n\r\nThe archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided.\r\n\r\nThe USGS Florida Integrated Science Center (FISC) - St. Petersburg assigns a unique identifier to each cruise or field activity. For example, 96LCA04 tells us the data were collected in 1996 for the Lakes and Coastal Aquifers (LCA) study and the data were collected during the fourth field activity for that project in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity ID.\r\n\r\nThe boomer plate is an acoustic energy source that consists of capacitors charged to a high voltage and discharged through a transducer in the water. The transducer is towed on a sled floating on the water surface and when discharged emits a short acoustic pulse, or shot, which propagates through the water and sediment column. The acoustic energy is reflected at density boundaries (such as the seafloor or sediment layers beneath the lake bottom), detected by the receiver (a hydrophone streamer), and recorded by a PC-based seismic acquisition system. This process is repeated at timed intervals (for example, 0.5 s) and recorded for specific intervals of time (for example, 100 ms). In this way, a two-dimensional (2-D) vertical image of the shallow geologic structure beneath the ship track is produced. Figure 1 displays the acquisition geometry. Refer to table 1 for a summary of acquisition parameters. Table 2 lists trackline statistics. Scanned images of the handwritten cruise logbook (1,020-KB PDF) is also provided as a PDF file.\r\n\r\nThe unprocessed seismic data are stored in SEG-Y format (Barry and others, 1975). For a detailed description of the data format, refer to the SEG-Y Format page. See the How To Download SEG-Y Data page for download instructions. The printable profiles provided here are GIF images that were filtered and gained using Seismic Unix software. Refer to the Software page for details about the processing and examples of the processing scripts. The processed SEG-Y data were exported to Chesapeake Technology, Inc. (CTI) SonarWeb software to produce an interactive version of the seismic profile that allows the user to obtain a geographic location and depth from the profile for a curser position. This information is displayed in the status bar of the browser.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds346","usgsCitation":"Harrison, A.S., Dadisman, S.V., Swancar, A., Tihansky, A.B., Flocks, J.G., and Wiese, D.S., 2008, Archive of digital boomer seismic reflection data collected during USGS field activity 96LCA04 in Lakes Mabel and Starr, Central Florida, August 1996: U.S. Geological Survey Data Series 346, HTML Document; CD-ROM, https://doi.org/10.3133/ds346.","productDescription":"HTML Document; CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1996-08-01","temporalEnd":"1996-08-31","costCenters":[{"id":277,"text":"Florida Integrated Science Center - St. Petersburg","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":11377,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/346/","linkFileType":{"id":5,"text":"html"}},{"id":195655,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lakes Mabel and Starr","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.59542715701335,\n              27.975348069350403\n            ],\n            [\n              -81.59542715701335,\n              27.95108887051552\n            ],\n            [\n              -81.58101971481496,\n              27.95108887051552\n            ],\n            [\n              -81.58101971481496,\n              27.975348069350403\n            ],\n            [\n              -81.59542715701335,\n              27.975348069350403\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679da8","contributors":{"authors":[{"text":"Harrison, Arnell S. 0000-0002-5581-2255","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":35021,"corporation":false,"usgs":true,"family":"Harrison","given":"Arnell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":295228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":295225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swancar, Amy aswancar@usgs.gov","contributorId":450,"corporation":false,"usgs":true,"family":"Swancar","given":"Amy","email":"aswancar@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":295223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tihansky, Ann B. tihansky@usgs.gov","contributorId":2477,"corporation":false,"usgs":true,"family":"Tihansky","given":"Ann","email":"tihansky@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":295227,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":295224,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":295226,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":81322,"text":"ofr20081138 - 2008 - Inventory and review of existing PRISM hydrogeologic data for the Islamic Republic of  Mauritania, Africa","interactions":[],"lastModifiedDate":"2017-05-23T13:44:57","indexId":"ofr20081138","displayToPublicDate":"2008-05-30T00:00:00","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":"2008-1138","title":"Inventory and review of existing PRISM hydrogeologic data for the Islamic Republic of  Mauritania, Africa","docAbstract":"The USGS entered into an agreement with the Mauritania Ministry of Mines and Industry to inventory and review the quality of information collected as part of the Project for Strengthening of the Institutions in the Mining Sector (PRISM). Whereas the PRISM program collected geophysical, geochemical, geological, satellite, and hydrogeologic information, this report focuses on an inventory and review of available hydrogeologic data provided to the USGS in multiple folders, files, and formats. Most of the information pertained to the hydrogeologic setting and the water budget of evaporation, evapotranspiration, and precipitation in the Choum-Zouerate area in northwestern Mauritania, and the country of Mauritania itself. Other information about the quantity and quality of groundwater was found in the relational Access database. In its present form, the limited hydrogeologic information was not amenable to conducting water balance, geostatistical, and localized numerical modeling studies in support of mineral exploration and development. Suggestions are provided to remedy many of the data's shortcomings, such as performing quality assurance on all SIPPE2 data tables and sending questionnaires to appropriate agencies, mining and other companies to populate the database with additional meteorology, hydrology, and groundwater data.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081138","collaboration":"Prepared in cooperation with the World Bank, the Mauritania Ministry of Mines and Industry, and Futures Group","usgsCitation":"Friedel, M.J., 2008, Inventory and review of existing PRISM hydrogeologic data for the Islamic Republic of  Mauritania, Africa (Version 1.0): U.S. Geological Survey Open-File Report 2008-1138, vii, 69 p., https://doi.org/10.3133/ofr20081138.","productDescription":"vii, 69 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195345,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":341593,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1138/pdf/OF08-1138.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":11371,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1138/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4824e4b07f02db4e2cd0","contributors":{"authors":[{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":295206,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":81320,"text":"ofr20081136 - 2008 - Hydrogeology of the Islamic Republic of Mauritania","interactions":[],"lastModifiedDate":"2023-07-19T18:51:18.467584","indexId":"ofr20081136","displayToPublicDate":"2008-05-30T00:00:00","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":"2008-1136","title":"Hydrogeology of the Islamic Republic of Mauritania","docAbstract":"Hydrogeologic maps were constructed for the Islamic Republic of Mauritania. The ground-water flow system in the country can best be described as two interconnected regional systems: the porous Continental Terminal coastal system and the interior, fractured sedimentary Taoudeni Basin system. In these systems, ground-water flow occurs in fill deposits and carbonate, clastic, metasedimentary, and metavolcanic rocks. Based on an evaluation of the potentiometric surface, there are three areas of ground-water recharge in the Taoudeni Basin system. One region occurs in the northwest at the edge of the Shield, one occurs to the south overlying the Tillites, and one is centered at the city of Tidjikdja. In contrast to the flow system in the Taoudeni Basin, the potentiometric surfaces reveal two areas of discharge in the Continental Terminal system but no localized recharge areas; the recharge is more likely to be areal. In addition to these recharge and discharge areas, ground water flows across the country's borders. Specifically, ground water from the Atlantic Ocean flows into Mauritania, transporting dissolved sodium from the west as a salt water intrusion, whereas fresh ground water discharges from the east into Mali. To the north, there is a relatively low gradient with inflow of fresh water to Mauritania, whereas ground-water flow discharges to the Senegal River to the south.\r\nA geographical information system (GIS) was used to digitize, manage, store, and analyze geologic data used to develop the hydrogeologic map. The data acquired for map development included existing digital GIS files, published maps, tabulated data in reports and public-access files, and the SIPPE2 Access database. Once in digital formats, regional geologic and hydrologic features were converted to a common coordinate system and combined into one map. The 42 regional geologic map units were then reclassified into 13 hydrogeologic units, each having considerable lateral extent and distinct hydrologic properties. Because the hydrologic properties of these units are also influenced by depth and degree of fracturing, the hydraulic conductivity values of these hydrogeologic units can range over many orders of magnitude.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081136","collaboration":"Prepared in cooperation with the World Bank, the Islamic Republic of Mauritania, and Futures Group","usgsCitation":"Friedel, M.J., and Finn, C.A., 2008, Hydrogeology of the Islamic Republic of Mauritania (Version 1.0): U.S. Geological Survey Open-File Report 2008-1136, vi, 32 p., https://doi.org/10.3133/ofr20081136.","productDescription":"vi, 32 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194447,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11369,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1136/","linkFileType":{"id":5,"text":"html"}}],"country":"Mauritania","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -19,14 ], [ -19,28 ], [ -2,28 ], [ -2,14 ], [ -19,14 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aeb4b","contributors":{"authors":[{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":295203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finn, Carol A. 0000-0002-6178-0405 cfinn@usgs.gov","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":1326,"corporation":false,"usgs":true,"family":"Finn","given":"Carol","email":"cfinn@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":295204,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":81327,"text":"ds348 - 2008 - Archive of digital boomer seismic reflection data collected during USGS field activity 02LCA02 in Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan, Central Florida, July 2002","interactions":[],"lastModifiedDate":"2023-12-07T17:34:01.825081","indexId":"ds348","displayToPublicDate":"2008-05-30T00:00:00","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":"348","title":"Archive of digital boomer seismic reflection data collected during USGS field activity 02LCA02 in Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan, Central Florida, July 2002","docAbstract":"In July of 2002, the U.S. Geological Survey and St. Johns River Water Management District (SJRWMD) conducted geophysical surveys in Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan, central Florida, as part of the USGS Lakes and Coastal Aquifers (LCA) study. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, Geographic Information System (GIS) files, and formal Federal Geographic Data Committee (FGDC) metadata. Filtered and gained (a relative increase in signal amplitude) digital images of the seismic profiles are also provided. Refer to the Acronyms page for expansions of acronyms and abbreviations used in this report.\r\n\r\nThe archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided.\r\n\r\nThe USGS Florida Integrated Science Center (FISC) - St. Petersburg assigns a unique identifier to each cruise or field activity. For example, 02LCA02 tells us the data were collected in 2002 for the Lakes and Coastal Aquifers (LCA) study and the data were collected during the second field activity for that study in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity ID.\r\n\r\nThe boomer plate is an acoustic energy source that consists of capacitors charged to a high voltage and discharged through a transducer in the water. The transducer is towed on a sled floating on the water surface and when discharged emits a short acoustic pulse, or shot, which propagates through the water, sediment column, or rock beneath. The acoustic energy is reflected at density boundaries (such as the seafloor, sediment, or rock layers beneath the seafloor), detected by the receiver, and recorded by a PC-based seismic acquisition system. This process is repeated at timed intervals (for example, 0.5 s) and recorded for specific intervals of time (for example, 100 ms). In this way, a two-dimensional (2-D) vertical profile of the shallow geologic structure beneath the ship track is produced. Figure 1 displays the acquisition geometry. Refer to table 1 for a summary of acquisition parameters. Table 2 lists trackline statistics.\r\n\r\nThe unprocessed seismic data are stored in SEG-Y format (Barry and others, 1975). For a detailed description of the data format, refer to the SEG-Y Format page. See the How To Download SEG-Y Data page for download instructions. The printable profiles provided here are GIF images that were filtered and gained using Seismic Unix software. Refer to the Software page for details about the processing and examples of the processing scripts. The processed SEG-Y data were exported to Chesapeake Technology, Inc. (CTI) SonarWeb software to produce an interactive Web page of the profile, which allows the user to obtain a geographic location and depth from the profile for a curser position. This information is displayed in the status bar of the browser.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds348","usgsCitation":"Harrison, A.S., Dadisman, S.V., Davis, J.B., and Wiese, D.S., 2008, Archive of digital boomer seismic reflection data collected during USGS field activity 02LCA02 in Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan, Central Florida, July 2002: U.S. Geological Survey Data Series 348, HTML Document; CD-ROM, https://doi.org/10.3133/ds348.","productDescription":"HTML Document; CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2002-07-01","temporalEnd":"2002-07-31","costCenters":[{"id":277,"text":"Florida Integrated Science Center - St. Petersburg","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":11376,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/348/","linkFileType":{"id":5,"text":"html"}},{"id":195738,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.79041119577676,\n              28.414380994317753\n            ],\n            [\n              -81.79041119577676,\n              27.778433363478257\n            ],\n            [\n              -81.14375039865179,\n              27.778433363478257\n            ],\n            [\n              -81.14375039865179,\n              28.414380994317753\n            ],\n            [\n              -81.79041119577676,\n              28.414380994317753\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679d78","contributors":{"authors":[{"text":"Harrison, Arnell S. 0000-0002-5581-2255","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":35021,"corporation":false,"usgs":true,"family":"Harrison","given":"Arnell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":295221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":295219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Jeffrey B.","contributorId":50168,"corporation":false,"usgs":true,"family":"Davis","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":295222,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":295220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":81326,"text":"ds322 - 2008 - Estuarine River Data for the Ten Thousand Islands Area, Florida, Water Year 2005","interactions":[],"lastModifiedDate":"2012-02-10T00:11:47","indexId":"ds322","displayToPublicDate":"2008-05-30T00:00:00","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":"322","title":"Estuarine River Data for the Ten Thousand Islands Area, Florida, Water Year 2005","docAbstract":"The U.S. Geological Survey collected stream discharge, stage, salinity, and water-temperature data near the mouths of 11 tributaries flowing into the Ten Thousand Islands area of Florida from October 2004 to June 2005. Maximum positive discharge from Barron River and Faka Union River was 6,000 and 3,200 ft3/s, respectively; no other tributary exceeded 2,600 ft3/s. Salinity variation was greatest at Barron River and Faka Union River, ranging from 2 to 37 ppt, and from 3 to 34 ppt, respectively. Salinity maximums were greatest at Wood River and Little Wood River, each exceeding 40 ppt. All data were collected prior to the commencement of the Picayune Strand Restoration Project, which is designed to establish a more natural flow regime to the tributaries of the Ten Thousand Islands area.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds322","collaboration":"Prepared as part of the U.S. Geological Survey Greater Everglades Priority Ecosystem Science Initiative;\r\nPrepared in cooperation with the South Florida Water Management District","usgsCitation":"Byrne, M., and Patino, E., 2008, Estuarine River Data for the Ten Thousand Islands Area, Florida, Water Year 2005: U.S. Geological Survey Data Series 322, iv, 10 p., https://doi.org/10.3133/ds322.","productDescription":"iv, 10 p.","temporalStart":"2004-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":195585,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11375,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/322/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.83333333333333,25.8 ], [ -81.83333333333333,26.183333333333334 ], [ -81.25,26.183333333333334 ], [ -81.25,25.8 ], [ -81.83333333333333,25.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db6593b9","contributors":{"authors":[{"text":"Byrne, Michael J.","contributorId":8550,"corporation":false,"usgs":true,"family":"Byrne","given":"Michael J.","affiliations":[],"preferred":false,"id":295218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Eduardo 0000-0003-1016-3658 epatino@usgs.gov","orcid":"https://orcid.org/0000-0003-1016-3658","contributorId":1743,"corporation":false,"usgs":true,"family":"Patino","given":"Eduardo","email":"epatino@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true},{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":295217,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":81325,"text":"ds345 - 2008 - Environmental and Biological Data of the Nutrient Enrichment Effects on Stream Ecosystems Project of the National Water Quality Assessment Program, 2003-04","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"ds345","displayToPublicDate":"2008-05-30T00:00:00","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":"345","title":"Environmental and Biological Data of the Nutrient Enrichment Effects on Stream Ecosystems Project of the National Water Quality Assessment Program, 2003-04","docAbstract":"In 2000, the U.S. Environmental Protection Agency began the process of developing regional nutrient criteria for streams and rivers. In response to concerns about nutrients by the U.S. Environmental Protection Agency and others, the U.S. Geological Survey National Water Quality Assessment Program began studying the effects of nutrient enrichment on agricultural stream ecosystems to aid in the understanding of how nutrients affect the biota in agricultural streams. Streams within five study areas were sampled either in 2003 or 2004. These five study areas were located within six NAWQA study units: the combined Apalachicola-Chattahoochee-Flint River Basin (ACFB) and Georgia-Florida Coastal Plain Drainages (GAFL), Central Columbia Plateau?Yakima River Basin (CCYK), Central Nebraska Basins (CNBR), Potomac River?Delmarva Peninsula (PODL), and the White-Miami River Basin (WHMI). Data collected included nutrients (nitrogen and phosphorous) and other chemical parameters, biological samples (chlorophyll, algal assemblages, invertebrate assemblages, and some fish assemblages), stream habitat, and riparian and basin information. This report describes and presents the data collected from these study areas.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds345","usgsCitation":"Brightbill, R.A., and Munn, M.D., 2008, Environmental and Biological Data of the Nutrient Enrichment Effects on Stream Ecosystems Project of the National Water Quality Assessment Program, 2003-04: U.S. Geological Survey Data Series 345, Report: vi, 13 p.; Appendixes (ZIP File), https://doi.org/10.3133/ds345.","productDescription":"Report: vi, 13 p.; Appendixes (ZIP File)","additionalOnlineFiles":"Y","temporalStart":"2003-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":195627,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11374,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/345/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602513","contributors":{"authors":[{"text":"Brightbill, Robin A. 0000-0003-4683-9656 rabright@usgs.gov","orcid":"https://orcid.org/0000-0003-4683-9656","contributorId":618,"corporation":false,"usgs":true,"family":"Brightbill","given":"Robin","email":"rabright@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munn, Mark D. 0000-0002-7154-7252 mdmunn@usgs.gov","orcid":"https://orcid.org/0000-0002-7154-7252","contributorId":976,"corporation":false,"usgs":true,"family":"Munn","given":"Mark","email":"mdmunn@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295216,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":81319,"text":"sir20085070 - 2008 - Modeling Water Temperature in the Yakima River, Washington, from Roza Diversion Dam to Prosser Dam, 2005-06","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"sir20085070","displayToPublicDate":"2008-05-29T00:00:00","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":"2008-5070","title":"Modeling Water Temperature in the Yakima River, Washington, from Roza Diversion Dam to Prosser Dam, 2005-06","docAbstract":"A mechanistic water-temperature model was constructed by the U.S. Geological Survey for use by the Bureau of Reclamation for studying the effect of potential water management decisions on water temperature in the Yakima River between Roza and Prosser, Washington. Flow and water temperature data for model input were obtained from the Bureau of Reclamation Hydromet database and from measurements collected by the U.S. Geological Survey during field trips in autumn 2005. Shading data for the model were collected by the U.S. Geological Survey in autumn 2006. The model was calibrated with data collected from April 1 through October 31, 2005, and tested with data collected from April 1 through October 31, 2006. Sensitivity analysis results showed that for the parameters tested, daily maximum water temperature was most sensitive to changes in air temperature and solar radiation. Root mean squared error for the five sites used for model calibration ranged from 1.3 to 1.9 degrees Celsius (?C) and mean error ranged from ?1.3 to 1.6?C. The root mean squared error for the five sites used for testing simulation ranged from 1.6 to 2.2?C and mean error ranged from 0.1 to 1.3?C.\r\n\r\nThe accuracy of the stream temperatures estimated by the model is limited by four errors (model error, data error, parameter error, and user error).","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085070","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Voss, F.D., Curran, C.A., and Mastin, M.C., 2008, Modeling Water Temperature in the Yakima River, Washington, from Roza Diversion Dam to Prosser Dam, 2005-06: U.S. Geological Survey Scientific Investigations Report 2008-5070, vi, 43 p., https://doi.org/10.3133/sir20085070.","productDescription":"vi, 43 p.","additionalOnlineFiles":"Y","temporalStart":"2005-04-01","temporalEnd":"2006-10-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":195159,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11367,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5070/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.75,45.916666666666664 ], [ -121.75,47.75 ], [ -119,47.75 ], [ -119,45.916666666666664 ], [ -121.75,45.916666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db6999d6","contributors":{"authors":[{"text":"Voss, Frank D. fdvoss@usgs.gov","contributorId":1651,"corporation":false,"usgs":true,"family":"Voss","given":"Frank","email":"fdvoss@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295202,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":81316,"text":"ofr20081015 - 2008 - Methods of Data Collection, Sample Processing, and Data Analysis for Edge-of-Field, Streamgaging, Subsurface-Tile, and Meteorological Stations at Discovery Farms and Pioneer Farm in Wisconsin, 2001-7","interactions":[],"lastModifiedDate":"2012-03-08T17:16:26","indexId":"ofr20081015","displayToPublicDate":"2008-05-28T01:00:00","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":"2008-1015","title":"Methods of Data Collection, Sample Processing, and Data Analysis for Edge-of-Field, Streamgaging, Subsurface-Tile, and Meteorological Stations at Discovery Farms and Pioneer Farm in Wisconsin, 2001-7","docAbstract":"The University of Wisconsin (UW)-Madison Discovery Farms (Discovery Farms) and UW-Platteville Pioneer Farm (Pioneer Farm) programs were created in 2000 to help Wisconsin farmers meet environmental and economic challenges. As a partner with each program, and in cooperation with the Wisconsin Department of Natural Resources and the Sand County Foundation, the U.S. Geological Survey (USGS) Wisconsin Water Science Center (WWSC) installed, maintained, and operated equipment to collect water-quantity and water-quality data from 25 edge-offield, 6 streamgaging, and 5 subsurface-tile stations at 7 Discovery Farms and Pioneer Farm. The farms are located in the southern half of Wisconsin and represent a variety of landscape settings and crop- and animal-production enterprises common to Wisconsin agriculture. Meteorological stations were established at most farms to measure precipitation, wind speed and direction, air and soil temperature (in profile), relative humidity, solar radiation, and soil moisture (in profile). Data collection began in September 2001 and is continuing through the present (2008). This report describes methods used by USGS WWSC personnel to collect, process, and analyze water-quantity, water-quality, and meteorological data for edge-of-field, streamgaging, subsurface-tile, and meteorological stations at Discovery Farms and Pioneer Farm from September 2001 through October 2007. Information presented includes equipment used; event-monitoring and samplecollection procedures; station maintenance; sample handling and processing procedures; water-quantity, waterquality, and precipitation data analyses; and procedures for determining estimated constituent concentrations for unsampled runoff events.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081015","collaboration":"Prepared in cooperation with the University of Wisconsin-Madison Discovery Farms program and the University of Wisconsin-Platteville Pioneer Farm program","usgsCitation":"Stuntebeck, T.D., Komiskey, M.J., Owens, D., and Hall, D.W., 2008, Methods of Data Collection, Sample Processing, and Data Analysis for Edge-of-Field, Streamgaging, Subsurface-Tile, and Meteorological Stations at Discovery Farms and Pioneer Farm in Wisconsin, 2001-7 (Revised Dec 2008): U.S. Geological Survey Open-File Report 2008-1015, viii, 52 p., https://doi.org/10.3133/ofr20081015.","productDescription":"viii, 52 p.","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":94361,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/publication/ofr20081015","linkFileType":{"id":1,"text":"pdf"}},{"id":11352,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1015/","linkFileType":{"id":5,"text":"html"}},{"id":194995,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Revised Dec 2008","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62bb36","contributors":{"authors":[{"text":"Stuntebeck, Todd D. 0000-0002-8405-7295 tdstunte@usgs.gov","orcid":"https://orcid.org/0000-0002-8405-7295","contributorId":902,"corporation":false,"usgs":true,"family":"Stuntebeck","given":"Todd","email":"tdstunte@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Komiskey, Matthew J. 0000-0003-2962-6974 mjkomisk@usgs.gov","orcid":"https://orcid.org/0000-0003-2962-6974","contributorId":1776,"corporation":false,"usgs":true,"family":"Komiskey","given":"Matthew","email":"mjkomisk@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Owens, David W. dwowens@usgs.gov","contributorId":3745,"corporation":false,"usgs":true,"family":"Owens","given":"David W.","email":"dwowens@usgs.gov","affiliations":[{"id":676,"text":"Wisconsin Water Resource Division","active":false,"usgs":true}],"preferred":false,"id":295191,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hall, David W.","contributorId":39362,"corporation":false,"usgs":true,"family":"Hall","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":295192,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":81315,"text":"sir20085008 - 2008 - A comparison of runoff quantity and quality from two small basins undergoing implementation of conventional- and low-impact-development (LID) strategies: Cross Plains, Wisconsin, water years 1999–2005","interactions":[],"lastModifiedDate":"2022-01-26T20:45:31.97544","indexId":"sir20085008","displayToPublicDate":"2008-05-28T00:00:00","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":"2008-5008","title":"A comparison of runoff quantity and quality from two small basins undergoing implementation of conventional- and low-impact-development (LID) strategies: Cross Plains, Wisconsin, water years 1999–2005","docAbstract":"<p>Environmental managers are often faced with the task of designing strategies to accommodate development while minimizing adverse environmental impacts. Low-impact development (LID) is one such strategy that attempts to mitigate environmental degradation commonly associated with impervious surfaces. The U.S. Geological Survey, in cooperation with the Wisconsin Department of Natural Resources, studied two residential basins in Cross Plains, Wis., during water years 1999–2005. A paired-basin study design was used to compare runoff quantity and quality from the two basins, one of which was developed in a conventional way and the other was developed with LID. The conventional-developed basin (herein called “conventional basin”) consisted of curb and gutter, 40-foot street widths, and a fully connected stormwater-conveyance system. The LID basin consisted of grassed swales, reduced impervious area (32-foot street widths), street inlets draining to grass swales, a detention pond, and an infiltration basin. Data collected in the LID basin represented predevelopment through near-complete build-out conditions.</p><p>Smaller, more frequent precipitation events that produced stormwater discharge from the conventional basin were retained in the LID basin. Only six events with precipitation depths less than or equal to 0.4 inch produced measurable discharge from the LID basin. Of these six events, five occurred during winter months when underlying soils are commonly frozen, and one was likely a result of saturated soil from a preceding storm. In the conventional basin, the number of discharge events, using the same threshold of precipitation depth, was 180, with nearly one-half of those resulting from precipitation depths less than 0.2 inch. Precipitation events capable of producing appreciable discharge in the LID basin were typically those of high intensity or precipitation depth or those that occurred after soils were already saturated. Total annual discharge volume measured from the conventional basin ranged from 1.3 to 9.2 times that from the LID basin.</p><p>Development of the LID basin did not appreciably alter the hydrologic response to precipitation characterized during predevelopment conditions. Ninety-five percent or more of precipitation in the LID basin was retained during each year of construction from predevelopment through near-complete build-out, surpassing the 90-percent benchmark established for new development by the Wisconsin Department of Natural Resources. The amount of precipitation retained in the conventional basin did not exceed 94 percent and fell below the 90-percent standard 2 of the 6 years monitored.</p><p>Much of the runoff in the LID basin was retained by an infiltration basin, the largest control structure used to mitigate storm-runoff quantity and quality. The infiltration basin also was the last best-management practice (BMP) used to treat runoff before it left the LID basin as discharge. From May 25, 2002, to September 30, 2005, only 24 of 155 precipitation events exceeded the retention/ infiltrative capacity of the infiltration basin. The overall reduction in runoff volume from these few events was 51 percent. The effectiveness of the infiltration basin decreased as precipitation intensities exceeded 0.5 inch per hour.</p><p>Annual loads were estimated to characterize the overall effectiveness of low-impact design practices for mitigating delivery of total solids, total suspended solids, and total phosphorus. Annual loads of these three constituents were greater in the LID basin than in the conventional basin in 2000 and 2004. Seventy percent or more of all constituent annual loads were associated with two discharge events in 2000, and a single discharge event produced 50 percent or more of constituent annual loads in 2004. Each of these discharge events was associated with considerable precipitation depths and (or) intensities, ranging from 4.89 to 6.21 inches and from 1.13 to 1.2 inches per hour, respectively. These same storms did not contribute as much of the annual load in the conventional basin. With large storms and saturated soils, the ability of low-impact design techniques to reduce runoff, and thus constituent loads, can be greatly diminished.</p><p>For both the LID and conventional basins, the temperature of runoff was largely affected by ambient air temperatures. However, the temperature of discharge from the LID basin increased upon runoff cessation. This increase is likely due to solar heating of water that is temporarily stored in the detention pond and infiltration basin.</p>","language":"English","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085008","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources","usgsCitation":"Selbig, W.R., and Bannerman, R.T., 2008, A comparison of runoff quantity and quality from two small basins undergoing implementation of conventional- and low-impact-development (LID) strategies: Cross Plains, Wisconsin, water years 1999–2005: U.S. Geological Survey Scientific Investigations Report 2008-5008, viii, 57 p., https://doi.org/10.3133/sir20085008.","productDescription":"viii, 57 p.","temporalStart":"1998-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":121145,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5008.jpg"},{"id":11351,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5008/","linkFileType":{"id":5,"text":"html"}},{"id":394914,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83685.htm"}],"country":"United States","state":"Wisconsin","city":"Cross Plains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.6692,\n              43.0981\n            ],\n            [\n              -89.6528,\n              43.0981\n            ],\n            [\n              -89.6528,\n              43.1125\n            ],\n            [\n              -89.6692,\n              43.1125\n            ],\n            [\n              -89.6692,\n              43.0981\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd494fe4b0b290850ef0af","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295188,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":81318,"text":"sir20085071 - 2008 - Conceptual Model of Hydrologic and Thermal Conditions of the Eastbank Aquifer System near Rocky Reach Dam, Douglas County, Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"sir20085071","displayToPublicDate":"2008-05-28T00:00:00","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":"2008-5071","title":"Conceptual Model of Hydrologic and Thermal Conditions of the Eastbank Aquifer System near Rocky Reach Dam, Douglas County, Washington","docAbstract":"The Lower and Combined Aquifers of the Eastbank Aquifer system, located in a river-terrace deposit along the Columbia River near Rocky Reach Dam, Washington, are primarily recharged by the Columbia River and provide water to the Eastbank Hatchery and the regional water system servicing the cities of Wenatchee, East Wenatchee, and parts of unincorporated Chelan and Douglas Counties. In 2006, mean annual pumpage from the aquifers by the hatchery and regional water system was about 43 and 16 cubic feet per second, respectively. Reportedly, temperatures of ground water pumped by the hatchery have been increasing, thereby making water potentially too warm for salmonid fish production. An evaluation of hourly ground-water and river temperatures from January 1991 through August 2007 indicates increasing interannual trends in temperatures in most of the Lower and Combined Aquifers from 1999 through 2006 that correspond to increasing trends in the annual mean and annual maximum river temperatures during the same period of 0.07 and 0.17?C per year, respectively. There were no trends in the annual minimum river temperatures from 1999 through 2006, and there were no trends in the annual minimum, mean, and maximum river temperatures from 1991 through 1998 and from 1991 through 2007. Increases in river temperatures from 1999 through 2006 are within the natural variability of the river temperatures. \r\n\r\nMost of the Lower and Combined Aquifers reached thermal equilibrium?defined by constant time lags between changes in river temperatures and subsequent changes in ground-water temperatures?during 1991?98. The only exceptions are the Combined Aquifer north of the well field of the regional water system, which had not reached thermal equilibrium by 2006, and the Lower Aquifer west of the well fields of the hatchery and the regional water system, which reached thermal equilibrium prior to 1991. Because most of the Lower and Combined Aquifers were in thermal equilibrium from 1999 through 2006 and seasonal pumpage patterns were relatively stable, reported trends of increasing temperatures of water pumped by the hatchery well field are most likely explained by increasing trends in river temperatures. Most of the water pumped by the hatchery well field recharges in an area west to southwest of the well field about 2 months prior to the time it is pumped from the aquifer. The northern extent of the hatchery well field may pump some colder water from a bedrock depression to the north and west of the well field. The conceptual model of hydrologic and thermal conditions is supported by analyses of historical water temperatures, water-level data collected on July 18, 2007, and dissolved-constituent and bacterial concentrations in samples collected on August 20?22, 2007.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085071","collaboration":"Prepared in cooperation with Public Utility District No. 1 of Chelan County","usgsCitation":"van Heeswijk, M., Cox, S.E., Huffman, R.L., and Curran, C.A., 2008, Conceptual Model of Hydrologic and Thermal Conditions of the Eastbank Aquifer System near Rocky Reach Dam, Douglas County, Washington: U.S. Geological Survey Scientific Investigations Report 2008-5071, viii, 67 p., https://doi.org/10.3133/sir20085071.","productDescription":"viii, 67 p.","additionalOnlineFiles":"Y","temporalStart":"1991-01-01","temporalEnd":"2007-08-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":125705,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5071.jpg"},{"id":11354,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5071/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.41666666666667,47.333333333333336 ], [ -120.41666666666667,48 ], [ -119.75,48 ], [ -119.75,47.333333333333336 ], [ -120.41666666666667,47.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db698453","contributors":{"authors":[{"text":"van Heeswijk, Marijke heeswijk@usgs.gov","contributorId":1537,"corporation":false,"usgs":true,"family":"van Heeswijk","given":"Marijke","email":"heeswijk@usgs.gov","affiliations":[],"preferred":true,"id":295196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, Stephen E. 0000-0001-6614-8225 secox@usgs.gov","orcid":"https://orcid.org/0000-0001-6614-8225","contributorId":1642,"corporation":false,"usgs":true,"family":"Cox","given":"Stephen","email":"secox@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huffman, Raegan L. 0000-0001-8523-5439 rhuffman@usgs.gov","orcid":"https://orcid.org/0000-0001-8523-5439","contributorId":1638,"corporation":false,"usgs":true,"family":"Huffman","given":"Raegan","email":"rhuffman@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295199,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":81314,"text":"sir20085040 - 2008 - Elements in Mud and Snow in the Vicinity of the DeLong Mountain Regional Transportation System Road, Red Dog Mine, and Cape Krusenstern National Monument, Alaska, 2005-06","interactions":[],"lastModifiedDate":"2012-02-10T00:11:50","indexId":"sir20085040","displayToPublicDate":"2008-05-24T00:00:00","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":"2008-5040","title":"Elements in Mud and Snow in the Vicinity of the DeLong Mountain Regional Transportation System Road, Red Dog Mine, and Cape Krusenstern National Monument, Alaska, 2005-06","docAbstract":"A small number of mud, road bed soil, and snow samples were collected in 2005 and 2006 to assess metal concentrations and loadings to areas adjacent to the DeLong Mountain Regional Transportation System (DMTS) road in northwest Alaska. The DMTS road is used by large trucks to transport lead and zinc concentrates from Red Dog Mine to the shipping facility at Red Dog Port; it traverses 32 kilometers of land in Cape Krusenstern National Monument (CAKR). Mud collected in the summer of 2005 from wheel-wells of two passenger vehicles used for transport between Red Dog Mine and the port facility were enriched in cadmium, lead, and zinc by factors of about 200 to 800 as compared with mud collected from a vehicle stationed in Kotzebue, Alaska, whereas DMTS road bed soil samples were enriched by factors of 6 to 12. Thus, as of 2005, dispersal of mine ore wastes or concentrates by vehicles appeared to remain a potential source of metals along the DMTS road.\r\n\r\nCompared to snow samples obtained near a gravel road located near Kotzebue, Alaska, metal loadings estimated from individual snow samples collected in CAKR in April 2006 near three creeks, 13 to 50 meters from the road, were greater by factors of 13 to 316 for cadmium, 28 to 589 for lead, and 8 to 195 for zinc. When averaged for all three creek locations, mean loadings of cadmium, lead, and zinc calculated from snow samples collected at a nominal distance of 15 meters to the north of the road were 0.63, 34, and 89 milligrams of metal per square meter, respectively. Variability of particulate and metal loadings between individual samples and the three creek locations probably was affected by localized meteorological conditions and micro-topography on the snow drift and scour patterns, but road orientation on attainable truck speeds also might have been a factor. Results indicated that the ?port effect?, previously attributed to fugitive metal-enriched dusts stemming from concentrate transfer operations at the port facility, was not necessarily an important factor affecting spatial differences of metals deposition in snow along the road in CAKR during winter 2005?06.\r\n\r\nThe average metal content of particulates in 2005?06 snow samples was slightly less than that of snow samples collected by the U.S. Geological Survey in CAKR at three near-road locations in April 2003. Mean metals concentrations in 2006 snow particulates were about three times greater than in the road bed soils that were sampled in 2005; however, the fraction of annual metals loadings occurring in winter as compared to the remainder of the year was not readily determined by these data. Although procedures have been implemented in recent years to reduce the quantities of metal-enriched fugitive dusts, particulates dispersed near the road during the winter of 2005?06 were enriched in metals and these particulates contributed considerable metal loadings to the nearby terrain.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085040","collaboration":"Prepared in cooperation with the National Park Service, Western Arctic National Parklands, Kotzebue, Alaska","usgsCitation":"Brumbaugh, W.J., and May, T.W., 2008, Elements in Mud and Snow in the Vicinity of the DeLong Mountain Regional Transportation System Road, Red Dog Mine, and Cape Krusenstern National Monument, Alaska, 2005-06: U.S. Geological Survey Scientific Investigations Report 2008-5040, vi, 31 p., https://doi.org/10.3133/sir20085040.","productDescription":"vi, 31 p.","temporalStart":"2005-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":195170,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11350,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5040/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -164.5,67.41666666666667 ], [ -164.5,68.08333333333333 ], [ -162.75,68.08333333333333 ], [ -162.75,67.41666666666667 ], [ -164.5,67.41666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a1ae4b07f02db606974","contributors":{"authors":[{"text":"Brumbaugh, William J.","contributorId":60734,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":295186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":295185,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":81309,"text":"sim2963 - 2008 - Geologic Map of the San Luis Quadrangle, Costilla County, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:47","indexId":"sim2963","displayToPublicDate":"2008-05-23T00:00:00","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":"2963","title":"Geologic Map of the San Luis Quadrangle, Costilla County, Colorado","docAbstract":"The map area includes San Luis and the primarily rural surrounding area. San Luis, the county seat of Costilla County, is the oldest surviving settlement in Colorado (1851). West of the town are San Pedro and San Luis mesas (basalt-covered tablelands), which are horsts with the San Luis fault zone to the east and the southern Sangre de Cristo fault zone to the west. The map also includes the Sanchez graben (part of the larger Culebra graben), a deep structural basin that lies between the San Luis fault zone (on the west) and the central Sangre de Cristo fault zone (on the east). The oldest rocks exposed in the map area are the Pliocene to upper Oligocene basin-fill sediments of the Santa Fe Group, and Pliocene Servilleta Basalt, a regional series of 3.7?4.8 Ma old flood basalts. Landslide deposits and colluvium that rest on sediments of the Santa Fe Group cover the steep margins of the mesas. Rare exposures of the sediment are comprised of siltstones, sandstones, and minor fluvial conglomerates. Most of the low ground surrounding the mesas and in the graben is covered by surficial deposits of Quaternary age. The alluvial deposits are subdivided into three Pleistocene-age units and three Holocene-age units. The oldest Pleistocene gravel (unit Qao) forms extensive coalesced alluvial fan and piedmont surfaces, the largest of which is known as the Costilla Plain. This surface extends west from San Pedro Mesa to the Rio Grande. The primary geologic hazards in the map area are from earthquakes, landslides, and localized flooding. There are three major fault zones in the area (as discussed above), and they all show evidence for late Pleistocene to possible Holocene movement. The landslides may have seismogenic origins; that is, they may be stimulated by strong ground shaking during large earthquakes. Machette and Thompson based this geologic map entirely on new mapping, whereas Drenth supplied geophysical data and interpretations.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sim2963","isbn":"9781411321304","usgsCitation":"Machette, M., Thompson, R.A., and Drenth, B.J., 2008, Geologic Map of the San Luis Quadrangle, Costilla County, Colorado (Version 1.0): U.S. Geological Survey Scientific Investigations Map 2963, Map Sheet: 44 x 29 inches; Downloads Directory, https://doi.org/10.3133/sim2963.","productDescription":"Map Sheet: 44 x 29 inches; Downloads Directory","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":111117,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83674.htm","linkFileType":{"id":5,"text":"html"}},{"id":195468,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11345,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2963/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Polyconic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.5,37.1175 ], [ -105.5,37.25 ], [ -105.36749999999999,37.25 ], [ -105.36749999999999,37.1175 ], [ -105.5,37.1175 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adf49","contributors":{"authors":[{"text":"Machette, Michael N.","contributorId":28963,"corporation":false,"usgs":true,"family":"Machette","given":"Michael N.","affiliations":[],"preferred":false,"id":295173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":295171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":295172,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":81312,"text":"ds335 - 2008 - Ground-water quality data in the Central Sierra study unit, 2006— Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2021-09-09T11:26:24.632886","indexId":"ds335","displayToPublicDate":"2008-05-23T00:00:00","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":"335","title":"Ground-water quality data in the Central Sierra study unit, 2006— Results from the California GAMA Program","docAbstract":"Ground-water quality in the approximately 950 square kilometer (370 square mile) Central Sierra study unit (CENSIE) was investigated in May 2006 as part of the Priority Basin Assessment project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basin Assessment project was developed in response to the Ground-Water Quality Monitoring Act of 2001, and is being conducted by the U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board (SWRCB).\r\n\r\nThis study was designed to provide a spatially unbiased assessment of the quality of raw ground water used for drinking-water supplies within CENSIE, and to facilitate statistically consistent comparisons of ground-water quality throughout California. Samples were collected from thirty wells in Madera County. Twenty-seven of the wells were selected using a spatially distributed, randomized grid-based method to provide statistical representation of the study area (grid wells), and three were selected to aid in evaluation of specific water-quality issues (understanding wells). \r\n\r\nGround-water samples were analyzed for a large number of synthetic organic constituents (volatile organic compounds [VOCs], gasoline oxygenates and degradates, pesticides and pesticide degradates), constituents of special interest (N-nitrosodimethylamine, perchlorate, and 1,2,3-trichloropropane), naturally occurring inorganic constituents [nutrients, major and minor ions, and trace elements], radioactive constituents, and microbial indicators. Naturally occurring isotopes [tritium, and carbon-14, and stable isotopes of hydrogen, oxygen, nitrogen, and carbon], and dissolved noble gases also were measured to help identify the sources and ages of the sampled ground water. In total, over 250 constituents and water-quality indicators were investigated.\r\n\r\nQuality-control samples (blanks, replicates, and samples for matrix spikes) were collected at approximately one-sixth of the wells, and the results for these samples were used to evaluate the quality of the data for the ground-water samples. Results from field blanks indicated contamination was not a noticeable source of bias in the data for ground-water samples. Differences between replicate samples were within acceptable ranges, indicating acceptably low variability. Matrix spike recoveries were within acceptable ranges for most constituents.\r\n\r\nThis study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, water typically is treated, disinfected, or blended with other waters to maintain water quality. Regulatory thresholds apply to water that is served to the consumer, not to raw ground water. However, to provide some context for the results, concentrations of constituents measured in the raw ground water were compared with health-based thresholds established by the U.S. Environmental Protection Agency (USEPA) and California Department of Public Health (CDPH), and thresholds established for aesthetic concerns (Secondary Maximum Contaminant Levels, SMCL-CA) by CDPH. Therefore, any comparisons of the results of this study to drinking-water standards only is for illustrative purposes and is not indicative of compliance or non-compliance to those standards.\r\n\r\nMost constituents that were detected in ground-water samples were found at concentrations below drinking-water standards or thresholds. Six constituents? fluoride, arsenic, molybdenum, uranium, gross-alpha radioactivity, and radon-222?were detected at concentrations higher than thresholds set for health-based regulatory purposes. Three additional constituents?pH, iron and manganese?were detected at concentrations above thresholds set for aesthetic concerns. Volatile organic compounds (VOCs) and pesticides, were detected in less than one-third of the samples and generally at less than one one-hundredth of a health-based threshold.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds335","usgsCitation":"Ferrari, M., Fram, M.S., and Belitz, K., 2008, Ground-water quality data in the Central Sierra study unit, 2006— Results from the California GAMA Program: U.S. Geological Survey Data Series 335, x, 61 p., https://doi.org/10.3133/ds335.","productDescription":"x, 61 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":190758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11348,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/335/","linkFileType":{"id":5,"text":"html"}},{"id":388953,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83679.htm"}],"country":"United States","state":"California","otherGeospatial":"Central Sierra study unit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.8981,\n              37.0917\n            ],\n            [\n              -119.4,\n              37.0917\n            ],\n            [\n              -119.4,\n              37.5\n            ],\n            [\n              -119.8981,\n              37.5\n            ],\n            [\n              -119.8981,\n              37.0917\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d580","contributors":{"authors":[{"text":"Ferrari, Matthew J.","contributorId":67082,"corporation":false,"usgs":true,"family":"Ferrari","given":"Matthew J.","affiliations":[],"preferred":false,"id":295181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295179,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":81311,"text":"sim3019 - 2008 - Land area change in coastal Louisiana: A multidecadal perspective (from 1956 to 2006)","interactions":[],"lastModifiedDate":"2023-04-13T21:37:04.041548","indexId":"sim3019","displayToPublicDate":"2008-05-23T00:00:00","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":"3019","title":"Land area change in coastal Louisiana: A multidecadal perspective (from 1956 to 2006)","docAbstract":"The U.S. Geological Survey (USGS) analyzed changes in the configuration of land and water in coastal Louisiana by using a sequential series of 14 data sets summarizing land and water areas from 1956 to 2006. The purpose of this study is to provide a spatially and temporally consistent source of quantitative information on land area across coastal Louisiana, broken into three physiographic provinces (the term 'coastal Louisiana' is used to present data on the collective area).\r\n\r\nThe land-water data sets used in this study are interpreted through spatial analysis and by linear regression analysis. The spatial depictions of land area change reveal a complex and interwoven mosaic of loss and gain patterns caused by natural and human-induced processes operating at varied temporal and spatial scales, resulting in fluctuating contributions to coastal loss. The linear regression analysis provides a robust estimate of recent change trends by comparing land area over time for all data sets from 1985 to 2004 and from 1985 to 2006 by physiographic province across coastal Louisiana.\r\n\r\nThe 1956 to 2006 map showing multidecadal changes, along with the linear regressions of land area change presented in this study, provide a comprehensive and concise presentation of historical trends and rates of land area change in coastal Louisiana. Taking a broad historical view provides an in-depth understanding of land area changes over time. For example, one observation provided by our historical review is that the majority of the widespread, nontransitory land gains depicted on the map over the past 50 years, with the exception of the progradation of the Atchafafalaya River and Wax Lake deltas, are primarily related to sediment placement and landward migration of barrier islands. Another point revealed by our historical approach is that recent land losses caused by hurricanes sometimes commingled with or exacerbated older losses formed during the 1956 to 1978 period. Furthermore, our analyses also show how the immediate impacts of extreme storms can alter the long-term, time-averaged trends of landscape change, thus limiting the range of projections for the future. For this reason, this study does not include trend projections beyond 2015 because of uncertainties related to recovery from the 2005 hurricane season and the potential for other episodic events that could skew future rates of change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3019","usgsCitation":"Barras, J., Bernier, J., and Morton, R., 2008, Land area change in coastal Louisiana: A multidecadal perspective (from 1956 to 2006) (Version 1.0): U.S. Geological Survey Scientific Investigations Map 3019, Report: iv, 9 p.; 1 Plate: 80.00 x 42.00 inches, https://doi.org/10.3133/sim3019.","productDescription":"Report: iv, 9 p.; 1 Plate: 80.00 x 42.00 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1956-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":11347,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3019/","linkFileType":{"id":5,"text":"html"}},{"id":365480,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3019/downloads/SIM3019_Pamphlet.pdf"},{"id":110772,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83676.htm","linkFileType":{"id":5,"text":"html"},"description":"83676"},{"id":195040,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"scale":"250000","country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.34399064181497,\n              29.995429621021884\n            ],\n            [\n              -89.81314388852411,\n              30.571416152674246\n            ],\n            [\n              -90.4765550831388,\n              30.478174177232816\n            ],\n            [\n              -91.2518184571681,\n              30.558805200758414\n            ],\n            [\n              -91.59226370679289,\n              30.08671821560452\n            ],\n            [\n              -92.18280674805897,\n              30.08385103388764\n            ],\n            [\n              -93.18548262159902,\n              30.151780956733617\n            ],\n            [\n              -93.68575265556393,\n              30.064954003792167\n            ],\n            [\n              -93.96882624889315,\n              29.547429022798426\n            ],\n            [\n              -92.51572718726482,\n              29.452104781342243\n            ],\n            [\n              -91.56712725042843,\n              29.359880057419744\n            ],\n            [\n              -90.84696478945125,\n              29.025586997827943\n            ],\n            [\n              -89.92536945227153,\n              28.979921361856285\n            ],\n            [\n              -88.8011241897795,\n              28.824836810823996\n            ],\n            [\n              -89.34399064181497,\n              29.995429621021884\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b28e4b07f02db6b10eb","contributors":{"authors":[{"text":"Barras, John A. jbarras@usgs.gov","contributorId":2425,"corporation":false,"usgs":true,"family":"Barras","given":"John A.","email":"jbarras@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":295176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":295177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, Robert A.","contributorId":88333,"corporation":false,"usgs":true,"family":"Morton","given":"Robert A.","affiliations":[],"preferred":false,"id":295178,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":81308,"text":"sir20085074 - 2008 - Proceedings of the U.S. Geological Survey Seventh Biennial Geographic Information Science Workshop, Denver, Colorado, May 12-16, 2008","interactions":[],"lastModifiedDate":"2018-08-15T16:27:55","indexId":"sir20085074","displayToPublicDate":"2008-05-23T00:00:00","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":"2008-5074","title":"Proceedings of the U.S. Geological Survey Seventh Biennial Geographic Information Science Workshop, Denver, Colorado, May 12-16, 2008","docAbstract":"<p>The U.S. Geological Survey (USGS) Seventh Biennial Geographic Information Science (GIS) Workshop (USGS-GIS 2008) on May 12 through 16, 2008, at the Denver Federal Center in Denver, Colorado, is unique in that it brings together GIS professionals from all of the USGS disciplines across all regions, and focuses primarily on the needs and accomplishments of the USGS. </p><p>The theme for the 2008 workshop, “GIS for Tomorrow’s Challenges,” provides an opportunity for USGS GIS professionals to demonstrate how they have responded to the challenges set forth in the USGS Science Strategy (http://www.usgs.gov/science_ strategy/). During this workshop, attendees will have an opportunity to present or demonstrate their work; develop their knowledge by attending hands-on workshops and presentations given by professionals from the USGS and other Federal agencies, GIS-related companies, and academia; and to network with other professionals to develop collaborative opportunities. </p><p>In addition to participation in numerous workshops and presentations, attendees will have opportunities to listen to top-level managers from the USGS present updates and goals concerning the future of several USGS programs. Monday evening’s Star Guest presentation by Thomas Wagner, NSF Office of Polar Programs, and Paul Morin, Antarctic Geospatial Information Center, entitled “Mapping all that is White: Antarctic Science and Operations Viewed Though Geospatial Data,” will be one of many valuable presentations. </p><p>This Proceedings volume will serve as an activity reference for workshop attendees, as well as an archive of technical abstracts presented at the workshop. Author, co-author, and presenter names, affiliations, and contact information are listed with presentation titles with the abstracts. Some hands-on sessions are offered twice; in these instances, abstracts submitted for publication are presented in the proceedings on both days on which they are offered. All acronyms used in these proceedings are explained in the text of each abstract.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085074","usgsCitation":"2008, Proceedings of the U.S. Geological Survey Seventh Biennial Geographic Information Science Workshop, Denver, Colorado, May 12-16, 2008: U.S. Geological Survey Scientific Investigations Report 2008-5074, xii, 66 p., https://doi.org/10.3133/sir20085074.","productDescription":"xii, 66 p.","temporalStart":"2008-05-12","temporalEnd":"2008-05-16","costCenters":[{"id":383,"text":"Mid-Continent Geographic Science Center","active":true,"usgs":true}],"links":[{"id":195215,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":356545,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2008/5074/pdf/SIR2008-5074.pdf","text":"Report","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":11344,"rank":99,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5074/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db660410","contributors":{"editors":[{"text":"Helterbrand, Steve whelterbrand@usgs.gov","contributorId":2497,"corporation":false,"usgs":true,"family":"Helterbrand","given":"Steve","email":"whelterbrand@usgs.gov","affiliations":[],"preferred":true,"id":742790,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Sieverling, Jennifer B. jbsiever@usgs.gov","contributorId":4806,"corporation":false,"usgs":true,"family":"Sieverling","given":"Jennifer","email":"jbsiever@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":742791,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":81276,"text":"sir20085075 - 2008 - Modeling Water-Surface Elevations and Virtual Shorelines for the Colorado River in Grand Canyon, Arizona","interactions":[],"lastModifiedDate":"2020-12-02T15:05:06.630683","indexId":"sir20085075","displayToPublicDate":"2008-05-18T00:00:00","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":"2008-5075","displayTitle":"Modeling water-surface elevations and virtual shorelines for the Colorado River in Grand Canyon, Arizona","title":"Modeling Water-Surface Elevations and Virtual Shorelines for the Colorado River in Grand Canyon, Arizona","docAbstract":"Using widely-available software intended for modeling rivers, a new one-dimensional hydraulic model was developed for the Colorado River through Grand Canyon from Lees Ferry to Diamond Creek. Solving one-dimensional equations of energy and continuity, the model predicts stage for a known steady-state discharge at specific locations, or cross sections, along the river corridor. This model uses 2,680 cross sections built with high-resolution digital topography of ground locations away from the river flowing at a discharge of 227 m3/s; synthetic bathymetry was created for topography submerged below the 227 m3/s water surface. The synthetic bathymetry was created by adjusting the water depth at each cross section up or down until the model?s predicted water-surface elevation closely matched a known water surface. This approach is unorthodox and offers a technique to construct one-dimensional hydraulic models of bedrock-controlled rivers where bathymetric data have not been collected. An analysis of this modeling approach shows that while effective in enabling a useful model, the synthetic bathymetry can differ from the actual bathymetry. The known water-surface profile was measured using elevation data collected in 2000 and 2002, and the model can simulate discharges up to 5,900 m3/s. In addition to the hydraulic model, GIS-based techniques were used to estimate virtual shorelines and construct inundation maps.\r\n\r\nThe error of the hydraulic model in predicting stage is within 0.4 m for discharges less than 1,300 m3/s. Between 1,300-2,500 m3/s, the model accuracy is about 1.0 m, and for discharges between 2,500-5,900 m3/s, the model accuracy is on the order of 1.5 m.\r\n\r\nIn the absence of large floods on the flow-regulated Colorado River in Grand Canyon, the new hydraulic model and the accompanying inundation maps are a useful resource for researchers interested in water depths, shorelines, and stage-discharge curves for flows within the river corridor with 2002 topographic conditions.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085075","collaboration":"Prepared in cooperation with the Grand Canyon Monitoring and Research Center","usgsCitation":"Magirl, C.S., Breedlove, M.J., Webb, R., and Griffiths, P.G., 2008, Modeling Water-Surface Elevations and Virtual Shorelines for the Colorado River in Grand Canyon, Arizona: U.S. Geological Survey Scientific Investigations Report 2008-5075, vi, 32 p., https://doi.org/10.3133/sir20085075.","productDescription":"vi, 32 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true},{"id":49157,"text":"Rocky Mountain Regional Office","active":true,"usgs":true}],"links":[{"id":195735,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11317,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5075/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.16666666666667,35.166666666666664 ], [ -112.16666666666667,37.166666666666664 ], [ -109.16666666666667,37.166666666666664 ], [ -109.16666666666667,35.166666666666664 ], [ -112.16666666666667,35.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db6999c6","contributors":{"authors":[{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breedlove, Michael J.","contributorId":31491,"corporation":false,"usgs":true,"family":"Breedlove","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":295041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":295039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffiths, Peter G. 0000-0002-8663-8907 pggriffi@usgs.gov","orcid":"https://orcid.org/0000-0002-8663-8907","contributorId":187,"corporation":false,"usgs":true,"family":"Griffiths","given":"Peter","email":"pggriffi@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":295038,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":81281,"text":"ofr20051082A - 2008 - Ground-water levels in Huron County, Michigan, 2002-03","interactions":[],"lastModifiedDate":"2017-02-06T13:23:44","indexId":"ofr20051082A","displayToPublicDate":"2008-05-18T00:00:00","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":"2005-1082","chapter":"A","title":"Ground-water levels in Huron County, Michigan, 2002-03","docAbstract":"<p class=\"body\">In 1990, the U.S. Geological Survey (USGS) completed a study of the hydrogeology of Huron County, Michigan (Sweat, 1991). In 1993, Huron County and the USGS entered into a continuing agreement to collect water-level altitudes (hereafter referred to as water levels) at selected wells throughout Huron County. As part of the agreement, USGS has operated four continuous water-level recorders, installed from 1988 to 1991 on wells in Bingham, Fairhaven, Grant, and Lake Townships (fig. 1) and summarized the data collected in an annual or bi-annual report. The agreement was altered in 2003, and beginning January 1, 2004, only the wells in Fairhaven and Lake Townships will have continuous water-level recorders, while the wells in Grant and Bingham Townships will revert to quarterly measurement status. USGS has also provided training for County or Huron Conservation District personnel to measure the water level, on a quarterly basis, in 23 wells. USGS personnel regularly accompany County or Huron Conservation District personnel to provide a quality assurance/quality control check of all measurements being made. Water-level data collected from the 23 quarterly-measured wells is also summarized in the annual or bi-annual report. In 1998, the USGS also completed a temporal and spatial analysis of the monitoring well network in Huron County (Holtschlag and Sweat, 1998).</p><p class=\"body\">The altitude of Lake Huron and precipitation are good indicators of general climatic conditions and, therefore, provide an environmental context for groundwater levels in Huron County. Figure 2 shows the mean-monthly water-level altitude of Lake Huron, averaged from measurements made by the U.S. Army Corps of Engineers at sites near Essexville and Harbor Beach, and monthly precipitation measured in Bad Axe (National Oceanic and Atmospheric Administration [NOAA], 2002-04; Danny Costello, NOAA hydrologist, written commun., 2003-04). In March 2003, a new low-water level for the period of this study was measured in Lake Huron (National Oceanic and Atmospheric Administration, 2003; 2004). The net decline in the water level of Lake Huron from January 1, 2002 to December 31, 2003 was about 0.3 ft. Annual precipitation in 2002 was about 0.3 inches above normal, with much of it occurring during summer months. The provisional precipitation total for 2003 is about an inch below normal (NOAA, 2003, 2004; Danny Costello, NOAA hydrologist, written commun., 2003, 2004).</p><p class=\"body\">Four wells equipped with continuous-data recorders are completed in the glacial, Saginaw, and Marshall aquifers. Water levels in three of the four wells equipped with continuous-data recorders experienced a net decline over the period from January 2002 to December 2003, while the level in well H9r, completed in the Saginaw aquifer in Fairhaven Township adjacent to Saginaw Bay (Lake Huron), rose about 1.3 ft over the same period. Interestingly, the water level in Saginaw Bay declined about 0.3 ft over the same period. A period-ofrecord maximum depth to water was recorded in September 2003 in well H25Ar, completed in the Marshall aquifer in Lake Township. Hydrographs showing altitude of the water surface are presented for each of four wells equipped with continuous-data recorders.</p><p class=\"body\">Twenty three wells were measured on a quarterly basis in 2002-03. These wells are completed in the Saginaw and Marshall aquifers, and Coldwater confining unit. Although each quarterly measurement only provides a “snapshot” water level, the data adequately define the “generalized” water-level trend in the aquifer near the well. The water level in one quarterly-measured well completed in the Saginaw aquifer near Saginaw Bay, had a net rise for the period from January 2002 to December 2003, while levels in the other 22 quarterly-measured wells declined about 0.5 to 2.0 ft during the same period. A period-of-record minimum depth to water (high) was measured in 2002 in two quarterly-measured wells completed in the Saginaw aquifer, although the level in one of those wells had a net decline over the period from January 2002 through December 2003. Conversely, period-of-record maximum depths to water (low) were measured in 2002 in one well completed in the Saginaw aquifer and two wells completed in the Marshall aquifer; and in 2003, in 6 of 16 wells completed in the Marshall aquifer. Near period-ofrecord maximum depths to water were measured in 2003 in two additional wells completed in the Marshall aquifer. No period-of-record minimum or maximum depths to water were measured in 2002-03 in wells completed in the Coldwater confining unit. Hydrographs showing water levels measured in each well are presented for the 23 wells measured on a quarterly basis.</p><p class=\"body\">Water-level trends measured in 2002-03 in other wells in Lower Michigan have similarities to those measured in Huron County wells. Several external factors appear to influence water-level trends including proximity to nearby production wells, amount and timing of precipitation events, evapotranspiration and type of prevalent ground cover, proximity of aquifer to the surface, and hydraulic characteristics of overlying geologic materials.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Lansing, MI","doi":"10.3133/ofr20051082A","collaboration":"Prepared in cooperation with the with Huron County, Michigan","usgsCitation":"Weaver, T.L., Blumer, S.P., and Crowley, S.L., 2008, Ground-water levels in Huron County, Michigan, 2002-03: U.S. Geological Survey Open-File Report 2005-1082, iv, 18 p., https://doi.org/10.3133/ofr20051082A.","productDescription":"iv, 18 p.","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":195489,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20051082A.JPG"},{"id":11322,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1082a/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Michigan","county":"Huron County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":\"1259\",\"properties\":{\"name\":\"Huron\",\"state\":\"MI\"},\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-82.9219,44.0668],[-82.9138,44.0639],[-82.9081,44.0628],[-82.8963,44.0584],[-82.8914,44.0537],[-82.8877,44.0522],[-82.8753,44.0464],[-82.8626,44.0452],[-82.8482,44.0402],[-82.8419,44.0405],[-82.8262,44.0359],[-82.8179,44.0353],[-82.8161,44.0347],[-82.8136,44.0324],[-82.8118,44.0314],[-82.8068,44.0295],[-82.7967,44.0274],[-82.7919,44.0231],[-82.7888,44.0212],[-82.7877,44.018],[-82.7824,44.0101],[-82.7805,44.0091],[-82.7735,44.0103],[-82.7678,44.0097],[-82.7659,44.0087],[-82.7622,44.0068],[-82.7543,44.0011],[-82.7483,43.9945],[-82.7408,43.9916],[-82.7384,43.9893],[-82.7314,43.9776],[-82.726,43.9716],[-82.7233,43.9633],[-82.7222,43.9592],[-82.7192,43.9559],[-82.7089,43.9474],[-82.7073,43.9423],[-82.7005,43.9376],[-82.6979,43.9288],[-82.6936,43.926],[-82.6925,43.9218],[-82.6897,43.9154],[-82.6855,43.9112],[-82.686,43.9021],[-82.6843,43.8984],[-82.6755,43.8858],[-82.6659,43.8755],[-82.6561,43.8688],[-82.6549,43.8674],[-82.6546,43.8619],[-82.6482,43.8522],[-82.6458,43.8485],[-82.6453,43.8471],[-82.6453,43.8462],[-82.648,43.844],[-82.6481,43.8431],[-82.6469,43.8417],[-82.6438,43.8393],[-82.6358,43.8345],[-82.6356,43.8277],[-82.6338,43.8258],[-82.6302,43.8102],[-82.6248,43.8046],[-82.6259,43.7973],[-82.6247,43.7959],[-82.6232,43.7886],[-82.6166,43.7824],[-82.6143,43.7774],[-82.6171,43.7733],[-82.6176,43.7533],[-82.6108,43.7385],[-82.6099,43.7225],[-82.6072,43.7138],[-82.6099,43.6998],[-82.6072,43.6906],[-82.6403,43.6893],[-82.7601,43.6854],[-82.8794,43.6815],[-83.0005,43.6788],[-83.1184,43.675],[-83.2357,43.6725],[-83.3536,43.6686],[-83.4664,43.6657],[-83.4668,43.7409],[-83.4624,43.7417],[-83.4543,43.7529],[-83.4509,43.7569],[-83.4438,43.7609],[-83.4428,43.7672],[-83.4341,43.7793],[-83.432,43.7838],[-83.4222,43.7886],[-83.4188,43.7935],[-83.4161,43.798],[-83.4146,43.8039],[-83.41,43.8075],[-83.4118,43.8102],[-83.4117,43.8112],[-83.4104,43.812],[-83.4034,43.8119],[-83.4028,43.8123],[-83.3981,43.8177],[-83.3891,43.8339],[-83.3864,43.837],[-83.3901,43.8403],[-83.3897,43.8485],[-83.3903,43.8498],[-83.3883,43.8516],[-83.3825,43.8542],[-83.3652,43.8561],[-83.3594,43.8587],[-83.3494,43.8685],[-83.3421,43.8765],[-83.3284,43.8848],[-83.3301,43.8881],[-83.3273,43.8944],[-83.3264,43.8989],[-83.3314,43.9027],[-83.3445,43.9062],[-83.3686,43.9086],[-83.3824,43.9112],[-83.3907,43.9091],[-83.4027,43.9112],[-83.4018,43.9166],[-83.3747,43.9137],[-83.3326,43.9177],[-83.314,43.9209],[-83.301,43.9265],[-83.2938,43.9314],[-83.2853,43.9366],[-83.2832,43.9407],[-83.2754,43.9451],[-83.2783,43.9492],[-83.2783,43.9501],[-83.2756,43.9533],[-83.2714,43.9605],[-83.2642,43.979],[-83.2636,43.979],[-83.2443,43.9831],[-83.2366,43.9847],[-83.1939,43.9873],[-83.1793,43.986],[-83.1787,43.986],[-83.1722,43.9886],[-83.1478,43.9925],[-83.1264,44.002],[-83.1211,44.005],[-83.1172,44.0063],[-83.1039,44.006],[-83.0906,44.0052],[-83.0823,44.005],[-83.0709,44.0042],[-83.0671,44.0037],[-83.0554,44.0084],[-83.0548,44.0079],[-83.0427,44.0217],[-83.0418,44.0253],[-83.0396,44.0312],[-83.0341,44.0402],[-83.0307,44.0433],[-83.0305,44.0474],[-83.0299,44.0474],[-83.0159,44.0479],[-83.0101,44.0487],[-82.996,44.0506],[-82.9843,44.0548],[-82.9684,44.0681],[-82.9607,44.0692],[-82.9594,44.0687],[-82.9602,44.066],[-82.9596,44.0656],[-82.9507,44.0639],[-82.9411,44.0664],[-82.9275,44.0706],[-82.9256,44.0706],[-82.9237,44.0701],[-82.9231,44.0682],[-82.9219,44.0668]]],[[[-83.4078,43.8275],[-83.4099,43.8225],[-83.4159,43.8167],[-83.4303,43.8202],[-83.4361,43.8199],[-83.4425,43.8173],[-83.444,43.8119],[-83.4511,43.8102],[-83.4617,43.8132],[-83.4602,43.8187],[-83.4579,43.8282],[-83.4531,43.8349],[-83.4512,43.8367],[-83.4442,43.8361],[-83.4445,43.8306],[-83.4415,43.8255],[-83.4365,43.824],[-83.4388,43.8286],[-83.436,43.8345],[-83.4389,43.84],[-83.4402,43.841],[-83.4444,43.8452],[-83.4449,43.8488],[-83.448,43.8512],[-83.4496,43.8567],[-83.4476,43.8603],[-83.4444,43.8611],[-83.4335,43.8618],[-83.4295,43.8535],[-83.4327,43.8513],[-83.4386,43.8487],[-83.4268,43.8411],[-83.41,43.8344],[-83.4096,43.8302],[-83.4078,43.8275]]],[[[-83.4138,43.8773],[-83.4164,43.8764],[-83.4214,43.8779],[-83.4277,43.8785],[-83.4295,43.8808],[-83.4319,43.8827],[-83.4319,43.8841],[-83.4299,43.8858],[-83.4311,43.8877],[-83.4291,43.8886],[-83.4255,43.8848],[-83.4205,43.8824],[-83.4194,43.8801],[-83.4156,43.8782],[-83.4138,43.8773]]],[[[-83.4892,43.7656],[-83.4911,43.7647],[-83.4924,43.7656],[-83.4942,43.767],[-83.4954,43.768],[-83.496,43.7694],[-83.4959,43.7721],[-83.4913,43.7752],[-83.4895,43.7733],[-83.4883,43.7724],[-83.4871,43.771],[-83.4872,43.7687],[-83.4879,43.7669],[-83.4892,43.7656]]],[[[-83.4212,43.8123],[-83.418,43.8113],[-83.4174,43.8117],[-83.4175,43.8095],[-83.4189,43.8068],[-83.4215,43.805],[-83.4228,43.805],[-83.4246,43.806],[-83.4252,43.8065],[-83.4239,43.8087],[-83.4238,43.811],[-83.4225,43.8114],[-83.4212,43.8123]]],[[[-83.4617,43.7572],[-83.4655,43.7559],[-83.4668,43.7559],[-83.4686,43.7574],[-83.4686,43.7583],[-83.4667,43.7591],[-83.4653,43.7614],[-83.4614,43.7631],[-83.4596,43.7612],[-83.4577,43.7612],[-83.4597,43.7576],[-83.4617,43.7572]]],[[[-83.4582,43.8072],[-83.457,43.8045],[-83.4589,43.8045],[-83.4609,43.8023],[-83.4622,43.8014],[-83.4635,43.8023],[-83.464,43.8051],[-83.4626,43.8078],[-83.4594,43.8086],[-83.4588,43.8077],[-83.4582,43.8072]]],[[[-83.4751,43.7971],[-83.477,43.7967],[-83.4783,43.7972],[-83.4794,43.8],[-83.4781,43.8013],[-83.4743,43.8021],[-83.4718,43.8012],[-83.4712,43.8007],[-83.4719,43.7989],[-83.4725,43.798],[-83.4751,43.7971]]],[[[-83.4665,44.0056],[-83.4716,44.0048],[-83.4767,44.0054],[-83.4785,44.0068],[-83.4784,44.0087],[-83.474,44.0095],[-83.4688,44.0103],[-83.4657,44.0093],[-83.4665,44.0056]]],[[[-83.4382,44.0273],[-83.4383,44.0246],[-83.4414,44.026],[-83.445,44.0302],[-83.4427,44.0388],[-83.4352,44.0359],[-83.4296,44.0331],[-83.4304,44.0299],[-83.4382,44.0273]]]]}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d5f3","contributors":{"authors":[{"text":"Weaver, T. L.","contributorId":24339,"corporation":false,"usgs":true,"family":"Weaver","given":"T.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":295058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blumer, S. P.","contributorId":23938,"corporation":false,"usgs":true,"family":"Blumer","given":"S.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":295057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crowley, S. L.","contributorId":77614,"corporation":false,"usgs":true,"family":"Crowley","given":"S.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":295059,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":81277,"text":"fs20083032 - 2008 - Consumptive Water Use in the Great Lakes Basin","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"fs20083032","displayToPublicDate":"2008-05-18T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-3032","title":"Consumptive Water Use in the Great Lakes Basin","docAbstract":"Great Lakes state agencies and organizations view understanding consumptive water use as a critical component in water-resource management. To assist them in developing a better understanding of the factors involved in consumptive use, the U.S. Geological Survey (USGS) has completed an inventory of consumptive-use coefficients for the Great Lakes Basin. This fact sheet highlights findings and data from a comprehensive report resulting from that inventory. \r\n\r\nThis fact sheet includes information on water-use categories used to compile and organize consumptive-use coefficients, summary statistics for consumptive-use coefficients by category, and estimated water withdrawals and consumptive-use amounts for the Great Lakes States for 2000.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20083032","usgsCitation":"Shaffer, K., 2008, Consumptive Water Use in the Great Lakes Basin: U.S. Geological Survey Fact Sheet 2008-3032, 6 p., https://doi.org/10.3133/fs20083032.","productDescription":"6 p.","costCenters":[{"id":448,"text":"National Water Availability and Use Program","active":false,"usgs":true}],"links":[{"id":121221,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3032.jpg"},{"id":11318,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3032/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100,33 ], [ -100,52 ], [ -65,52 ], [ -65,33 ], [ -100,33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697d7b","contributors":{"authors":[{"text":"Shaffer, Kimberly H.","contributorId":98275,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly H.","affiliations":[],"preferred":false,"id":295042,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":81280,"text":"sim3021 - 2008 - Sedimentation Survey of Lago La Plata, Puerto Rico, July 2006","interactions":[],"lastModifiedDate":"2023-08-23T21:40:16.608166","indexId":"sim3021","displayToPublicDate":"2008-05-18T00:00:00","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":"3021","displayTitle":"Sedimentation survey of Lago La Plata, Puerto Rico, July 2006","title":"Sedimentation Survey of Lago La Plata, Puerto Rico, July 2006","docAbstract":"Lago La Plata dam is located between the municipalities of Naranjito and Toa Alta in north central Puerto Rico, about 5 kilometers south of the town of Toa Alta and about 5 kilometers north of the town of Naranjito.\r\n\r\nThe reservoir impounds the waters of the Rio de La Plata, the Rio Guadiana, and the Rio Ca?as, and is part of the San Juan Metropolitan Water District, which provides about 35 percent of the total water demand for the area (Soler-Lopez and others, 2000). The reservoir has a drainage area of about 469 square kilometers. The dam was constructed in 1974 and is a concrete gravity structure with a normal pool elevation of 52.00 meters above mean sea level (Puerto Rico Electric Power Authority, 1979).\r\n\r\nDuring October 1998, the U.S. Geological Survey (USGS), Caribbean Water Science Center, in cooperation with the Puerto Rico Aqueduct and Sewer Authority (PRASA) conducted a bathymetric survey of Lago La Plata to assess the impact of Hurricane Georges on the storage capacity of the reservoir. Between July 17 and 20, 2006, the USGS and the PRASA conducted an additional bathymetric survey of Lago La Plata to update the reservoir storage capacity and determine the reservoir sedimentation rate by comparing the 2006 survey data with the 1998 survey data..\r\n\r\nThe purpose of this report is to update the reservoir storage capacity, sedimentation rates, and areas of substantial sediment accumulation since 1998. Historical (1974) data are referenced as needed to account for long-term storage capacity loss trends...","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim3021","collaboration":"Prepared in cooperation with the Puerto Rico Aqueduct and Sewer Authority","usgsCitation":"Soler-Lopez, L.R., 2008, Sedimentation Survey of Lago La Plata, Puerto Rico, July 2006: U.S. Geological Survey Scientific Investigations Map 3021, 1 Plate: 40 x 24 inches, https://doi.org/10.3133/sim3021.","productDescription":"1 Plate: 40 x 24 inches","onlineOnly":"Y","temporalStart":"2006-07-17","temporalEnd":"2006-07-20","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":11321,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3021/","linkFileType":{"id":5,"text":"html"}},{"id":190723,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":111116,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83673.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Lago La Plata","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.2,\n              18.3\n            ],\n            [\n              -66.2,\n              18.35\n            ],\n            [\n              -66.25,\n              18.35\n            ],\n            [\n              -66.25,\n              18.3\n            ],\n            [\n              -66.2,\n              18.3\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbd2a","contributors":{"authors":[{"text":"Soler-Lopez, Luis R.","contributorId":27501,"corporation":false,"usgs":true,"family":"Soler-Lopez","given":"Luis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":295056,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70236956,"text":"70236956 - 2008 - Noise in GPS displacement measurements from southern California and southern Nevada","interactions":[],"lastModifiedDate":"2022-09-22T16:33:34.445297","indexId":"70236956","displayToPublicDate":"2008-05-16T11:29:17","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6453,"text":"Journal of Geophysical Research Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Noise in GPS displacement measurements from southern California and southern Nevada","docAbstract":"<p><span>Time series of position changes estimated from data from 236 continuously recording GPS receivers operating in Southern California and Southern Nevada are evaluated for noise models that characterize their temporal correlations. The lengths of the time series range between 3.5 and 10 years. After adjusting these data for postseismic deformation, offsets, and annual periodicities, I find that about one-half of the time series have temporal correlations that are categorized as either flicker or random-walk noise. The remaining time series can be best categorized as either a combination of flicker and random-walk; power law noise; first-order Gauss-Markov plus random-walk noise; or power law plus broadband, seasonal noise. A variety of geodetic monuments are used in Southern California and Nevada, including deeply braced designs, cement piers, pins drilled in outcrop, and buildings. When I evaluate the noise for each time series in terms of an estimate of the standard error in velocity, I find that the sites with the smallest errors are those located in Nevada using deeply braced monuments. Sites that are installed within regions of active pumping, both for groundwater and oil, had the largest standard errors in velocity. Comparison of monument stability, as measured by standard error in rate, with average, annual rainfall nearby indicates a marginally significant correlation. In addition, even though regional filtering removed much of the common-mode signals in these time series, there still remains a common-mode seasonal signal which can and should be removed.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2007JB005247","usgsCitation":"Langbein, J.O., 2008, Noise in GPS displacement measurements from southern California and southern Nevada: Journal of Geophysical Research Solid Earth, v. 113, no. B5, B05405, 12 p., https://doi.org/10.1029/2007JB005247.","productDescription":"B05405, 12 p.","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":476607,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007jb005247","text":"Publisher Index Page"},{"id":407218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.00292968749999,\n              32.509761735919426\n            ],\n            [\n              -114.08203125,\n              32.509761735919426\n            ],\n            [\n              -114.08203125,\n              39.87601941962116\n            ],\n            [\n              -123.00292968749999,\n              39.87601941962116\n            ],\n            [\n              -123.00292968749999,\n              32.509761735919426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"113","issue":"B5","noUsgsAuthors":false,"publicationDate":"2008-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Langbein, John O. 0000-0002-7821-8101 langbein@usgs.gov","orcid":"https://orcid.org/0000-0002-7821-8101","contributorId":3293,"corporation":false,"usgs":true,"family":"Langbein","given":"John","email":"langbein@usgs.gov","middleInitial":"O.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":852804,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":81262,"text":"sir20085020 - 2008 - Availability, sustainability, and suitability of ground water, Rogers Mesa, Delta County, Colorado: Types of analyses and data for use in subdivision water-supply reports","interactions":[],"lastModifiedDate":"2024-06-13T21:34:52.204051","indexId":"sir20085020","displayToPublicDate":"2008-05-16T00:00:00","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":"2008-5020","title":"Availability, sustainability, and suitability of ground water, Rogers Mesa, Delta County, Colorado: Types of analyses and data for use in subdivision water-supply reports","docAbstract":"<p>The population of Delta County, Colorado, like that in much of the Western United States, is forecast to increase substantially in the next few decades. A substantial portion of the increased population likely will reside in rural subdivisions and use residential wells for domestic water supplies. In Colorado, a subdivision developer is required to submit a water-supply plan through the county for approval by the Colorado Division of Water Resources. If the water supply is to be provided by wells, the water-supply plan must include a water-supply report. The water-supply report demonstrates the availability, sustainability, and suitability of the water supply for the proposed subdivision. During 2006, the U.S. Geological Survey, in cooperation with Delta County, Colorado, began a study to develop criteria that the Delta County Land Use Department can use to evaluate water-supply reports for proposed subdivisions.</p><p>A table was prepared that lists the types of analyses and data that may be needed in a water-supply report for a water-supply plan that proposes the use of ground water. A preliminary analysis of the availability, sustainability, and suitability of the ground-water resources of Rogers Mesa, Delta County, Colorado, was prepared for a hypothetical subdivision to demonstrate hydrologic analyses and data that may be needed for water-supply reports for proposed subdivisions.</p><p>Rogers Mesa is a 12-square-mile upland mesa located along the north side of the North Fork Gunnison River about 15 miles east of Delta, Colorado. The principal land use on Rogers Mesa is irrigated agriculture, with about 5,651 acres of irrigated cropland, grass pasture, and orchards. The principal source of irrigation water is surface water diverted from the North Fork Gunnison River and Leroux Creek. The estimated area of platted subdivisions on or partially on Rogers Mesa in 2007 was about 4,792 acres of which about 2,756 acres was irrigated land in 2000.</p><p>The principal aquifer on Rogers Mesa consists of alluvial-fan deposits that overlie shale and, locally, sandstone. Maps of the base of the aquifer, the water table, and the saturated thickness of the aquifer were prepared from data from the well files of the Colorado Division of Water Resources. The base of the aquifer generally is topographically higher than the valleys of the North Fork Gunnison River and Leroux Creek, and direct hydraulic connection of the aquifer to North Fork Gunnison River and Leroux Creek is limited. The aquifer is recharged primarily by infiltration of surface water diverted for irrigation. Ground water discharges to seeps and springs and through slope deposits at the boundaries of the aquifer. Data from the well files also were used to estimate the specific capacity of wells and to estimate the transmissivity and hydraulic conductivity of the aquifer.</p><p>A water budget was used to estimate recharge to and discharge from the aquifer. Although storage within the aquifer likely varies seasonally and from year to year, it was assumed that there were no long-term changes in ground-water storage. Estimated average annual recharge to and discharge from the aquifer during November 1998 through October 2006 were about 30,767 acre-feet per year. Although sufficient ground water is available on Rogers Mesa for additional domestic water supplies, conversion of irrigated land to residential land use likely would reduce recharge to the aquifer, affecting the sustainability of ground-water supplies on Rogers Mesa. Stream-depletion analyses indicate that the ground water in the aquifer likely would be considered tributary ground water and additional uses of ground water to supply new subdivisions likely would require implementation of augmentation plans.</p><p>Although sufficient ground water is available on Rogers Mesa for additional domestic water supplies, conversion of irrigated land to residential land use likely would reduce recharge to the aquifer, affecting the sustainability of ground-water supplies on Rogers Mesa. Stream-depletion analyses indicate that the ground water in the aquifer likely would be considered tributary ground water and additional uses of ground water to supply new subdivisions likely would require implementation of augmentation plans.</p><p>Although the dissolved solids and dissolved sulfate concentrations in ground water from Rogers Mesa aquifer commonly exceeded the U.S. Environmental Protection Agency Secondary Maximum Contaminant Levels for drinking-water supplies, the quality of ground water from the aquifer generally is suitable for residential use. Concentrations of total nitrogen (nitrite plus nitrate, as nitrogen) in ground water ranged from 0.38 to 3.2 milligrams per liter and were less than the State of Colorado maximum contaminant level of 10 milligrams per liter. Concentrations of selenium from seeps and springs at the boundaries of the aquifer commonly exceeded 50 micrograms per liter, the State of Colorado maximum contaminant level for drinking-water supplies.</p><p>This preliminary evaluation of ground-water supplies on Rogers Mesa could be improved with the collection of additional data including: additional mapping of hydrogeologic features; more accurate locations and altitudes of wells; accurate estimates of water-budget components; measurements of ground-water levels; and collection and analyses of ground-water samples. The use of numerical models of ground-water flow could improve evaluations of the potential effects of changes in land and water use on the water budget, aquifer storage, stream depletion, and well interference.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085020","isbn":"9781411321311","collaboration":"Prepared in cooperation with Delta County, Colorado","usgsCitation":"Watts, K.R., 2008, Availability, sustainability, and suitability of ground water, Rogers Mesa, Delta County, Colorado: Types of analyses and data for use in subdivision water-supply reports: U.S. Geological Survey Scientific Investigations Report 2008-5020, vi, 54 p., https://doi.org/10.3133/sir20085020.","productDescription":"vi, 54 p.","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":430167,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83598.htm","linkFileType":{"id":5,"text":"html"}},{"id":11303,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5020/","linkFileType":{"id":5,"text":"html"}},{"id":121189,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5020.jpg"}],"country":"United States","state":"Colorado","county":"Delta County","otherGeospatial":"Rogers Mesa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.25,38.666666666666664 ], [ -108.25,39.083333333333336 ], [ -107.41666666666667,39.083333333333336 ], [ -107.41666666666667,38.666666666666664 ], [ -108.25,38.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64ae96","contributors":{"authors":[{"text":"Watts, Kenneth R. krwatts@usgs.gov","contributorId":1647,"corporation":false,"usgs":true,"family":"Watts","given":"Kenneth","email":"krwatts@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":294993,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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