{"pageNumber":"991","pageRowStart":"24750","pageSize":"25","recordCount":46734,"records":[{"id":57942,"text":"wri034185 - 2004 - Environmental setting, water quality, and ecological indicators of surface-water quality in the Mermentau River Basin, southwestern Louisiana, 1998-2001","interactions":[],"lastModifiedDate":"2013-07-08T13:04:20","indexId":"wri034185","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4185","title":"Environmental setting, water quality, and ecological indicators of surface-water quality in the Mermentau River Basin, southwestern Louisiana, 1998-2001","docAbstract":"The U.S. Geological Survey collected data from 29 wells and 24 surface-water sites in the Mermentau River Basin, 1998-2001, to better understand ground-water and surface-water quality; aquatic invertebrate communities; and habitat conditions, in relation to land use.  This study was  apart of the National Water-Quality Assessment Program, which was designed to assess water quality as it relates to various land uses.  Water-quality data were evaluated with criteria established for the protection of drinking water and aquatic life, and bed-sediment data were compared to aquatic life criteria.  Water-quality and ecological data were analyzed statistically in relation to drainage area and agricultural land-use integrity.\n\nConcentrations of nutrients and major inorganic ions in ground water and surface water generally were highest in the southeastern part of the study area where soils contain thick loess deposits.  Peak concentrations of nutrients in surface water occurred March-may at two sites with high agricultural intensity; the lowest concentrations occurred August-January.  The greatest potential for eutrophic conditions in surface water, based on nutrient concentrations, existed March-May, at about the same time or shortly after ricefields were drained.  Secondary Maximum Contaminant Levels established by the U.S. Environmental Protection Agency (USEPA) were exceeded for sulfate, chloride, iron, or manganese in samples from 20 wells, and for iron or manganese in samples from all surface-water sites.  \n\nFewer pesticides were detected in ground water than in surface water.  In 11 of of the 29 wells sampled, at least one pesticide or pesticide degradation product was detected.  The most frequently detected pesticides or pesticide degradation products in ground water were the herbicides benzaton and atrazine.  Concentrations of 47 pesticides and degradation products were detected in surface water.  At least 3 pesticides were detected in all surface-water samples.  In 72 percent of the samples at least 5 hydrophilic pesticides were detected, and in more than 70 percent of the samples at least 3 hydrophobic pesticides were detected.  Although atrazine concentrations in three samples collected in the spring exceeded 3 micrograms per liter, the USEPA Maximum Contaminant Level of 3 micrograms per liter was not exceeded because it is based on an annual average of quarterly samples.  Concentrations larger than 3.0 micrograms per liter were not detected in samples collected during other times of the year.  Tebuthiuron was detected at all surface-water sites; the largest concentration (6.33 micrograms per liter) was detected at a site on Bayou des Cannes, and was the only detection that exceeded the criterion (1.6 micrograms per liter) for the protection of aquatic life.  Malathion was detected at 16 surface-water sites; the largest concentration (0.113 micrograms per liter) was detected at a site on Bayou Lacassine and was the only detection that exceeded the criterion (0.1 micrograms per liter) for the protection of aquatic life.  Concentrations of fipronil exceeded numeric targets for acute total maximum daily loads (2.3 micrograms per liter) at 3 sites and chronic total maximum daily loads (4.6 micrograms per liter) at 14 sites.  Maximum pesticide concentrations in surface water usually occurred in the spring at about the same time or shortly after ricefields were drained.  \n\nConcentrations of DDE in bed sediment at two sites exceeded interim freshwater sediment quality guidelines for the protection of aquatic life.  Fipronil sulfide and desulfinylpronil were detected at all 17 sites from which bed-sediment samples were collected, but there are no current (2002) guidelines with which to evaluate the environmental effects of fipronil and degradation products.  \n\nTwo methods were used to group the ecological data-collection sites: (1) Sites were grouped before data collection (according to the study design) using drainage area","language":"ENGLISH","doi":"10.3133/wri034185","usgsCitation":"Skrobialowski, S.C., Mize, S.V., and Demcheck, D.K., 2004, Environmental setting, water quality, and ecological indicators of surface-water quality in the Mermentau River Basin, southwestern Louisiana, 1998-2001: U.S. Geological Survey Water-Resources Investigations Report 2003-4185, 73 p.; 20 figs.; 13 tables, https://doi.org/10.3133/wri034185.","productDescription":"73 p.; 20 figs.; 13 tables","costCenters":[],"links":[{"id":181836,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2003/4185/report-thumb.jpg"},{"id":274630,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2003/4185/report.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a13e4b07f02db6021cc","contributors":{"authors":[{"text":"Skrobialowski, Stanley C. 0000-0001-8627-0279 sski@usgs.gov","orcid":"https://orcid.org/0000-0001-8627-0279","contributorId":1402,"corporation":false,"usgs":true,"family":"Skrobialowski","given":"Stanley","email":"sski@usgs.gov","middleInitial":"C.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":257954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mize, Scott V. 0000-0001-6751-5568 svmize@usgs.gov","orcid":"https://orcid.org/0000-0001-6751-5568","contributorId":2997,"corporation":false,"usgs":true,"family":"Mize","given":"Scott","email":"svmize@usgs.gov","middleInitial":"V.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":257955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Demcheck, Dennis K. 0000-0003-2981-078X ddemchec@usgs.gov","orcid":"https://orcid.org/0000-0003-2981-078X","contributorId":3273,"corporation":false,"usgs":true,"family":"Demcheck","given":"Dennis","email":"ddemchec@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":257956,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":58029,"text":"sir20045138 - 2004 - Presence and distribution of organic wastewater compounds in wastewater, surface, ground, and drinking waters, Minnesota, 2000-02","interactions":[],"lastModifiedDate":"2020-02-09T15:31:01","indexId":"sir20045138","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","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":"2004-5138","title":"Presence and distribution of organic wastewater compounds in wastewater, surface, ground, and drinking waters, Minnesota, 2000-02","docAbstract":"<p>Selected organic wastewater compounds (OWCs) such as household, industrial, and agricultural-use compounds, pharmaceuticals, antibiotics, and sterols and hormones were measured at 65 sites in Minnesota as part of a cooperative study among the Minnesota Department of Health, Minnesota Pollution Control Agency, and the U.S. Geological Survey. Samples were collected in Minnesota during October 2000 through November 2002 and analyzed for the presence and distribution of 91 OWCs at sites including wastewater treatment plant influent and effluent; landfill and feedlot lagoon leachate; surface water; ground water (underlying sewered and unsewered mixed urban land use, a waste dump, and feedlots); and the intake and finished drinking water from drinking water facilities.</p>\n<p>There were 74 OWCs detected that represent a wide variety of use. Samples generally comprised a mixture of compounds (average of 6 OWCs) and 90 percent of the samples had at least one OWC detected. Concentrations for detected OWCs generally were less than 3 micrograms per liter. The ten most frequently detected OWCs were metolachlor (agricultural-use herbicide); cholesterol (sterol primarily associated with animal waste); caffeine (stimulant), N,N-diethyl-<i>meta</i>-toluamide (DEET) (topical insect repellant); bromoform (disinfection by product); tri(2-chloroethyl)phosphate (flame-retardant and plastic component); <i>beta</i>-sitosterol (plant sterol that is a known endocrine disruptor); acetyl-hexamethyl-tetrahydro- naphthalene (AHTN) (synthetic musk widely used in personal care products, and a known endocrine disruptor); bisphenol-A (plastic component and a known endocrine disruptor); and cotinine (metabolite of nicotine).</p>\n<p>Wastewater treatment plant influent and effluent, landfill leachate, and ground water underlying a waste dump had the greatest number of OWCs detected. OWC detections in ground-water were low except underlying the one waste dump studied and feedlots. There generally were more OWCs detected in surface water than ground water, and there were twice as many OWCs detected in the surface water sites downstream from wastewater treatment plant (WWTP effluent than at sites not directly downstream from effluent. Comparisons among site classifications apply only to sites sampled during the study.</p>\n<p>Results of this study indicate ubiquitous distribution of measured OWCs in the environment that originate from numerous sources and pathways. During this reconnaissance of OWCs in Minnesota it was not possible to determine the specific sources of OWCs to surface, ground, or drinking waters. The data indicate WWTP effluent is a major pathway of OWCs to surface waters and that landfill leachate at selected facilities is a potential source of OWCs to WWTPs. Aquatic organism or human exposure to some OWCs is likely based on OWC distribution. Few aquatic or human health standards or criteria exist for the OWCs analyzed, and the risks to humans or aquatic wildlife are not known. Some OWCs detected in this study are endocrine disrupters and have been found to disrupt or influence endocrine function in fish. Thirteen endocrine disrupters, 3-<i>tert</i>-butyl-4-hydoxyanisole (BHA), 4- cumylphenol, 4-<i>normal</i>-octylphenol, 4-<i>tert</i>-octylphenol, acetyl-hexamethyl-tetrahydro-naphthalene (AHTN), benzo[&alpha;]pyrene, beta-sitosterol, bisphenol-A, diazinon, nonylphenol diethoxylate (NP2EO), octyphenol diethoxylate (OP2EO), octylphenol monoethoxylate (OP1EO), and total <i>para</i>-nonylphenol (NP) were detected. Results of reconnaissance studies may help regulators who set water-quality standards begin to prioritize which OWCs to focus upon for given categories of water use.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20045138","collaboration":"Prepared in cooperation with the Minnesota Department of Health and the Minnesota Pollution Control Agency","usgsCitation":"Lee, K., Barber, L.B., Furlong, E.T., Cahill, J.D., Kolpin, D.W., Meyer, M.T., and Zaugg, S.D., 2004, Presence and distribution of organic wastewater compounds in wastewater, surface, ground, and drinking waters, Minnesota, 2000-02: U.S. Geological Survey Scientific Investigations Report 2004-5138, v, 48 p., https://doi.org/10.3133/sir20045138.","productDescription":"v, 48 p.","numberOfPages":"53","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water 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 \"}}]}","tableOfContents":"<p>Abstract<br />Introduction<br />Study design and methods<br />Quality assurance<br />Data evaluation<br />Hydrologic setting and basic water-quality parameters<br />Presence and distribution of organic wastewater compounds among all sites<br />Presence and distribution of organice wastewater compounds for specific site classifications<br />&nbsp; &nbsp; &nbsp;Wastewater<br />&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Wastewater treatment plants<br />&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Landfill leachate<br />&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Feedlot lagoons<br />&nbsp; &nbsp; &nbsp;Surface water<br />&nbsp; &nbsp; &nbsp;Ground water<br />&nbsp; &nbsp; &nbsp;Drinking water<br />Comparison among site classifications<br />Implications for water-quality and human and aquatic health<br />Summary and conclusions<br />References<br />Appendix 1. Potential uses of organic wastewater compounds analyzed in water samples, Minnesota 2000-02</p>\n<p>Appendix 2. Quality-control data summary for laboratory reagent spike and blank samples for all analytes, Minnesota 2000-02</p>\n<p>Appendix 3. Quality assurance summary for laboratory surrogate compounds in samples analyzed with field samples, Minnesota, 2000-02</p>\n<p>Appendix 4. Quality assurance summary of field replicates and blanks, Minnesota, 2000-02</p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aaae4b07f02db66912b","contributors":{"authors":[{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":258180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":258178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":258175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cahill, Jeffery D.","contributorId":71630,"corporation":false,"usgs":true,"family":"Cahill","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":258181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":258179,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":258177,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zaugg, Steven D. sdzaugg@usgs.gov","contributorId":768,"corporation":false,"usgs":true,"family":"Zaugg","given":"Steven","email":"sdzaugg@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":258176,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":58033,"text":"sir20045119 - 2004 - Fish communities of the Buffalo River Basin and nearby basins of Arkansas and their relation to selected environmental factors, 2001-2002","interactions":[],"lastModifiedDate":"2012-02-02T00:12:29","indexId":"sir20045119","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","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":"2004-5119","title":"Fish communities of the Buffalo River Basin and nearby basins of Arkansas and their relation to selected environmental factors, 2001-2002","docAbstract":"The Buffalo River lies in north-central Arkansas and is a tributary of the White River. Most of the length of the Buffalo River lies within the boundaries of Buffalo National River, a unit of the National Park Service; the upper 24 river kilometers lie within the boundary of the Ozark National Forest. Much of the upper and extreme lower parts of the basin on the south side of the Buffalo River is within the Ozark National Forest. \r\n\r\nDuring the summers of 2001 and 2002, fish communities were sampled at 52 sites in the study area that included the Buffalo River Basin and selected smaller nearby basins within the White River Basin in north-central Arkansas. Water quality (including nutrient and bacteria concentrations) and several other environmental factors (such as stream size, land use, substrate size, and riparian shading) also were measured. \r\n\r\nA total of 56 species of fish were collected from sites within the Buffalo River Basin in 2001 and 2002. All 56 species also were collected from within the boundaries of Buffalo National River. Twenty-two species were collected from headwater sites on tributaries of the Buffalo River; 27 species were collected from sites within or immediately adjacent to the Ozark National Forest. The list of species collected from Buffalo National River is similar to the list of species reported by previous investigators. Species richness at sites on the mainstem of the Buffalo River generally increased in a downstream direction. The number of species collected (both years combined) increased from 17 at the most upstream site to 38 near the mouth of the Buffalo River. In 2001 and 2002, a total of 53 species of fish were collected from sites outside the Buffalo River Basin. \r\n\r\nSeveral fish community metrics varied among sites in different site categories (mainstem, large tributary, small tributary, headwater, and developed out-of-basin sites). Median relative abundances of stonerollers ranged from about 25 to 55 percent and were highest at headwater and developed out-of-basin sites and lowest at mainstem sites. The relative abundances at the headwater and developed out-of-basin sites were significantly different from the relative abundances at the mainstem sites. Percentages of individuals of algivorous/herbivorous, invertivorous, and piscivorous species at headwater sites were significantly lower than values at mainstem and developed out-of-basin sites. Percentages of individuals of invertivorous species at mainstem sites were significantly higher than values at small tributary, headwater, and developed out-of-basin sites. Percentages of top carnivores at mainstem sites were significantly higher than values at tributary and headwater sites. The numbers of darter, sculpin, plus madtom species at mainstem, large tributary, and developed out-of-basin sites were significantly higher than values at other sites, and the values at small tributary sites and headwater sites were each significantly different from values at the other four types of sites. The number of lithophilic spawning species at large tributary sites was not significantly different from values at mainstem and developed out-of-basin sites, but values for small tributary and headwater sites each were significantly different from values for all other categories. Index of biotic integrity scores varied among the site categories. Scores for mainstem sites were significantly larger than all but large tributary site scores. Scores for headwater sites were significantly smaller than mainstem and large tributary site scores.\r\n\r\nSeveral analyses of the data described in this report suggest that drainage area is the most important single factor influencing fish communities of the Buffalo River Basin and nearby basins. Species richness increases with increasing drainage area and some species are restricted to smaller streams while other species are more common in larger streams. Some community metrics also are related to land use and related factors","language":"ENGLISH","doi":"10.3133/sir20045119","usgsCitation":"Petersen, J., 2004, Fish communities of the Buffalo River Basin and nearby basins of Arkansas and their relation to selected environmental factors, 2001-2002: U.S. Geological Survey Scientific Investigations Report 2004-5119, 100 p., https://doi.org/10.3133/sir20045119.","productDescription":"100 p.","costCenters":[],"links":[{"id":183233,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5963,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5119/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cfe4b07f02db545cb2","contributors":{"authors":[{"text":"Petersen, James C. petersen@usgs.gov","contributorId":2437,"corporation":false,"usgs":true,"family":"Petersen","given":"James C.","email":"petersen@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":258186,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":69812,"text":"sim2848 - 2004 - Earthquakes and faults in the San Francisco Bay area (1970-2003)","interactions":[],"lastModifiedDate":"2017-07-13T09:42:51","indexId":"sim2848","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","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":"2848","title":"Earthquakes and faults in the San Francisco Bay area (1970-2003)","docAbstract":"<p>The map depicts both active and inactive faults and earthquakes magnitude 1.5 to 7.0 in the greater San Francisco Bay area. Twenty-two earthquakes magnitude 5.0 and greater are indicated on the map and listed chronologically in an accompanying table. The data are compiled from records from 1970-2003. The bathymetry was generated from a digital version of NOAA maps and hydrogeographic data for San Francisco Bay. Elevation data are from the USGS National Elevation Database. Landsat satellite image is from seven Landsat 7 Enhanced Thematic Mapper Plus scenes. Fault data are reproduced with permission from the California Geological Survey. The earthquake data are from the Northern California Earthquake Catalog.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim2848","isbn":"0607990295","usgsCitation":"Sleeter, B.M., Calzia, J.P., Walter, S.R., Wong, F.L., and Saucedo, G.J., 2004, Earthquakes and faults in the San Francisco Bay area (1970-2003): U.S. Geological Survey Scientific Investigations Map 2848, Map: 33 x 46 inches; Table, https://doi.org/10.3133/sim2848.","productDescription":"Map: 33 x 46 inches; Table","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":189186,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":343774,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2004/2848/SIM2848.pdf","text":"Map as PDF file","size":"26.8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":343775,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2004/2848/SIM2848.jpg","text":"Map as JPG file (72 dpi)","size":"1.6 MB"},{"id":343776,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2004/2848/SIM2848_table.pdf","text":"Table for map","size":"448 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":6169,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2004/2848/","linkFileType":{"id":5,"text":"html"}},{"id":110525,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_69202.htm","linkFileType":{"id":5,"text":"html"},"description":"69202"}],"scale":"300000","country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.3,36.2 ], [ -123.3,39.0 ], [ -121.0,39.0 ], [ -121.0,36.2 ], [ -123.3,36.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629710","contributors":{"authors":[{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":281309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calzia, James P. jcalzia@usgs.gov","contributorId":2801,"corporation":false,"usgs":true,"family":"Calzia","given":"James","email":"jcalzia@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":281308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walter, Stephen R.","contributorId":34954,"corporation":false,"usgs":true,"family":"Walter","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":281310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":281307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saucedo, George J.","contributorId":89006,"corporation":false,"usgs":true,"family":"Saucedo","given":"George","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":281311,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":69792,"text":"sim2851 - 2004 - Geologic map of the Cerro Gordo Peak 7.5' Quadrangle, Inyo County, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:24","indexId":"sim2851","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","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":"2851","title":"Geologic map of the Cerro Gordo Peak 7.5' Quadrangle, Inyo County, California","docAbstract":"This digital map database, compiled from new mapping by the authors, represents the general distribution of bedrock and surficial deposits in the mapped area.  Together with the accompanying pamphlet, it provides current information on the geologic structure and stratigraphy of the area covered.  The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey.  The scale of the source maps limits the spatial resolution (scale) of the database to 1:24,000 or smaller.","language":"ENGLISH","doi":"10.3133/sim2851","usgsCitation":"Stone, P., Dunne, G.C., Conrad, J.E., Swanson, B., Stevens, C., and Valin, Z.C., 2004, Geologic map of the Cerro Gordo Peak 7.5' Quadrangle, Inyo County, California: U.S. Geological Survey Scientific Investigations Map 2851, 17 page pamphlet; map, 36 by 42 inches; digital database, https://doi.org/10.3133/sim2851.","productDescription":"17 page pamphlet; map, 36 by 42 inches; digital database","costCenters":[],"links":[{"id":110514,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68833.htm","linkFileType":{"id":5,"text":"html"},"description":"68833"},{"id":188446,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6416,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2004/2851/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.86749999999999,36.5 ], [ -117.86749999999999,36.6175 ], [ -117.73472222222222,36.6175 ], [ -117.73472222222222,36.5 ], [ -117.86749999999999,36.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b0ae4b07f02db69d0e5","contributors":{"authors":[{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":281260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunne, George C.","contributorId":55086,"corporation":false,"usgs":true,"family":"Dunne","given":"George","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":281263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":281261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swanson, Brian J.","contributorId":100950,"corporation":false,"usgs":true,"family":"Swanson","given":"Brian J.","affiliations":[],"preferred":false,"id":281265,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stevens, Calvin H.","contributorId":59848,"corporation":false,"usgs":true,"family":"Stevens","given":"Calvin H.","affiliations":[],"preferred":false,"id":281264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Valin, Zenon C. 0000-0001-6199-6700 zenon@usgs.gov","orcid":"https://orcid.org/0000-0001-6199-6700","contributorId":3742,"corporation":false,"usgs":true,"family":"Valin","given":"Zenon","email":"zenon@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":281262,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":53707,"text":"fs20043013 - 2004 - Science data in support of environmental health studies in the U.S.-Mexico border region","interactions":[],"lastModifiedDate":"2017-02-15T14:52:39","indexId":"fs20043013","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","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":"2004-3013","title":"Science data in support of environmental health studies in the U.S.-Mexico border region","docAbstract":"<p> The border region of the United States and Mexico encompasses a vast and diverse array of physical settings and habitats that include wetlands, deserts, rangeland, mountains, and forests, which are unique in terms of the diversity of their water, mineral, and biological resources. The region is interconnected economically, politically, and socially owing to its binational heritage. In 1995, nearly 11 million people lived immediately adjacent to the border. By one account, that population could more than double by 2020. </p><p>This rapid population growth and consequent economic development and land-use changes are pushing the limits of environmental sustainability and quality. Infrastructure development has lagged behind the rapid growth of the region, resulting in a shortage of water for municipal, agricultural, and industrial uses. These stressors threaten the quality of life in the region and raise concerns about the interdependence of environmental quality and human health. </p><p>To allow for continued economic growth while protecting the area’s natural resources and fostering a high quality of life, the United States and Mexico need an improved understanding of the threats posed by these anthropogenic changes.</p><p>Issues of particular concern include (1) contaminants in ground water, surface water, and biota from agricultural, municipal, and industrial activities; (2) airborne pollutants from fossil-fuel combustion and other activities; (3) contaminants from past and present mining activities and mineral deposits; and (4) pathogens, pharmaceuticals, hormones, and other contaminants released in treated and untreated human and animal wastewaters.</p>","language":"English, Spanish","publisher":"U.S. Geological Survey","doi":"10.3133/fs20043013","usgsCitation":"Buckler, D., and Strom, E., 2004, Science data in support of environmental health studies in the U.S.-Mexico border region: U.S. Geological Survey Fact Sheet 2004-3013, HTML Document; Report: 2 p., https://doi.org/10.3133/fs20043013.","productDescription":"HTML Document; Report: 2 p.","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":120618,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2004_3013.bmp"},{"id":335619,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2004/3013/pdf/FS2003-3013_eng.pdf","text":"Report (English)","size":"1.13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":335620,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2004/3013/pdf/FS2003-3013_span.pdf","text":"Report (Spanish)","size":"1.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":5049,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/fs-2004-3013/","linkFileType":{"id":5,"text":"html"}}],"country":"Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.2724609375,\n              27.371767300523047\n            ],\n            [\n              -99.55810546875,\n              27.391278222579277\n            ],\n            [\n              -99.82177734375,\n              27.235094607795503\n            ],\n            [\n              -99.86572265625,\n              26.775039386999605\n            ],\n            [\n              -99.64599609375,\n              26.41155054662258\n            ],\n            [\n              -99.30541992187499,\n              26.066652138577403\n            ],\n            [\n              -99.03076171875,\n              25.82956108605351\n            ],\n            [\n              -98.8330078125,\n              25.512700007620513\n            ],\n            [\n              -98.294677734375,\n              25.31423555219758\n            ],\n            [\n              -97.80029296875,\n              25.27450351782018\n            ],\n            [\n              -97.503662109375,\n              25.24469595130604\n            ],\n            [\n              -97.2509765625,\n              25.304303764403617\n            ],\n            [\n              -97.119140625,\n              25.710836919640595\n            ],\n            [\n              -97.09716796875,\n              26.10612083235552\n            ],\n            [\n              -97.13012695312499,\n              26.352497858154024\n            ],\n            [\n              -97.305908203125,\n              26.990618722964737\n            ],\n            [\n              -97.49267578125,\n              27.078691552927534\n            ],\n            [\n              -97.998046875,\n              27.059125784374068\n            ],\n            [\n              -98.59130859375,\n              27.186242185608737\n            ],\n            [\n              -98.93188476562499,\n              27.27416111737468\n            ],\n            [\n              -99.2724609375,\n              27.371767300523047\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db698241","contributors":{"authors":[{"text":"Buckler, Denny","contributorId":47451,"corporation":false,"usgs":true,"family":"Buckler","given":"Denny","affiliations":[],"preferred":false,"id":248164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strom, Eric","contributorId":84840,"corporation":false,"usgs":true,"family":"Strom","given":"Eric","affiliations":[],"preferred":false,"id":248165,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":53844,"text":"ofr2003503 - 2004 - Ground-water, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona — 2002-03","interactions":[],"lastModifiedDate":"2021-12-08T22:22:15.539361","indexId":"ofr2003503","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","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":"2003-503","title":"Ground-water, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona — 2002-03","docAbstract":"The N aquifer is the major source of water in the 5,400-square-mile area of Black Mesa in northeastern Arizona. Availability of water is an important issue in this area because of continued industrial and municipal use, a growing population, and precipitation of about 6 to 14 inches per year.\r\n\r\nThe monitoring program in the Black Mesa area has been operating since 1971 and is designed to determine the long-term effects of ground-water withdrawals from the N aquifer for industrial and municipal uses. The monitoring program includes measurements of (1) ground-water pumping, (2) ground-water levels, (3) spring discharge, (4) surface-water discharge, (5) ground-water chemistry, and (6) periodic testing of ground-water withdrawal meters.\r\n\r\nIn 2002, total ground-water withdrawals were 8,000 acre-feet, industrial use was 4,640 acre-feet, and municipal use was 3,360 acre-feet. From 2001 to 2002, total withdrawals increased by 4 percent, industrial use increased by 2 percent, and municipal use increased by 7 percent. Flowmeter testing was completed for 32 municipal wells in 2003. The median difference between pumping rates for the permanent meter and a test meter for all the sites tested was -2.0 percent. Values ranged from -13.7 percent at Hopi High School no. 2 to +12.9 percent at Shonto PM3.\r\n\r\nFrom 2002 to 2003, water levels declined in 5 of 13 wells in the unconfined part of the aquifer, and the median change was 0.0 foot. Water levels declined in 8 of 13 wells in the confined part of the aquifer, and the median change was -1.1 feet.\r\n\r\nFrom the prestress period (prior to 1965) to 2003, the median water-level change for 26 wells was -8.3 feet. Median water-level changes were -0.4 foot for 13 wells in the unconfirned part of the aquifer and -60.3 feet for 13 wells in the confined part.\r\n\r\nDischarges were measured once in 2002 and once in 2003 at four springs. Discharge decreased by 16 percent at Pasture Canyon Spring, increased 10 percent at Moenkopi Spring and 90 percent at an unnamed spring near Dennehotso, and did not change at Burro Spring. For the past 11 years, discharges from the four springs have fluctuated; however, an increasing or decreasing trend is not apparent.\r\n\r\nContinuous records of surface-water discharge have been collected from 1976 to 2002 at Moenkopi Wash, 1996 to 2002 at Laguna Creek, 1993 to 2002 at Dinnebito Wash, and 1994 to 2002 at Polacca Wash. Median flows for November, December, January, and February of each water year were used as an index of ground-water discharge to those streams. Since 1995, the median winter flows have decreased for Moenkopi Wash, Dinnebito Wash, and Polacca Wash. Since the first continuous record of surface-water discharge in 1997, there is no consistent trend in the median winter flow for Laguna Creek.\r\n\r\nIn 2003, water samples were collected from 12 wells and 4 springs and analyzed for selected chemical constituents. Dissolved-solids concentrations ranged from 118 to 642 milligrams per liter. Water samples from 10 of the wells and from all of the springs had less than 500 milligrams per liter of dissolved solids. There are no appreciable time trends in the chemistry of water samples from 7 wells and 4 springs; 7 wells had more than 8 years of data, and the 4 springs had more than 10 years of data.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr2003503","usgsCitation":"Truini, M., and Thomas, B.E., 2004, Ground-water, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona — 2002-03: U.S. Geological Survey Open-File Report 2003-503, vi, 43 p., https://doi.org/10.3133/ofr2003503.","productDescription":"vi, 43 p.","costCenters":[],"links":[{"id":175150,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":392657,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_67778.htm"},{"id":5275,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ofr03503/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Black Mesa area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.4167,\n              35.6167\n            ],\n            [\n             -109.75,\n              35.6167\n            ],\n            [\n              -109.75,\n              36.7778\n            ],\n            [\n              -111.4167,\n              36.7778\n            ],\n            [\n              -111.4167,\n              35.6167\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b12e4b07f02db6a2700","contributors":{"authors":[{"text":"Truini, Margot mtruini@usgs.gov","contributorId":599,"corporation":false,"usgs":true,"family":"Truini","given":"Margot","email":"mtruini@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":248478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Blakemore E.","contributorId":93871,"corporation":false,"usgs":true,"family":"Thomas","given":"Blakemore","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":248479,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":53973,"text":"wri034131 - 2004 - Geochemical characterization of ground-water flow in the Santa Fe Group aquifer system, Middle Rio Grande Basin, New Mexico","interactions":[],"lastModifiedDate":"2020-02-09T15:37:48","indexId":"wri034131","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4131","title":"Geochemical characterization of ground-water flow in the Santa Fe Group aquifer system, Middle Rio Grande Basin, New Mexico","docAbstract":"<p>Chemical and isotopic data were obtained from ground water and surface water throughout the Middle Rio Grande Basin (MRGB), New Mexico, and supplemented with selected data from the U.S. Geological Survey (USGS) National Water Information System (NWIS) and City of Albuquerque water-quality database in an effort to refine the conceptual model of ground-water flow in the basin. The ground-water data collected as part of this study include major- and minor-element chemistry (30 elements), oxygen-18 and deuterium content of water, carbon-13 content and carbon-14 activity of dissolved inorganic carbon, sulfur-34 content of dissolved sulfate, tritium, and dissolved atmospheric gases including nitrogen, argon, helium, chlorofluorocarbons, and sulfur hexafluoride from 288 wells and springs in parts of the Santa Fe Group aquifer system. The surface-water data collected as part of this study include monthly measurements of major- and minor-element chemistry (30 elements), oxygen-18 and deuterium content of water, chlorofluorocarbons, and tritium content at 14 locations throughout the basin. Additional data include stable isotope analyses of precipitation and of ground water from City of Albuquerque production wells collected and archived from the early 1980?s, and other data on the chemical and isotopic composition of air, unsaturated zone air, plants, and carbonate minerals from throughout the basin. The data were used to identify 12 sources of water to the basin, map spatial and vertical extents of ground-water flow, map water chemistry in relation to hydrogeologic, stratigraphic, and structural properties of the basin, determine radiocarbon ages of ground water, and reconstruct paleo-environmental conditions in the basin over the past 30,000 years. The data indicate that concentrations of most elements and isotopes generally parallel the predominant north to south direction of ground-water flow. The radiocarbon ages of dissolved inorganic carbon in ground water range from modern (post-1950) to more than 30,000 years before present, and appear to be particularly well defined in the predominantly siliciclastic aquifer system. Major sources of water to the basin include (1) recharge from mountains along the north, east and southwest margins (median age 5,000-9,000 years); (2) seepage from the Rio Grande and Rio Puerco (median age 4,000-8,000 years), and from Abo and Tijeras Arroyos (median age 3,000-9,000 years); (3) inflow of saline water along the southwestern basin margin (median age 20,000 years); and (4) inflow along the northern basin margin that probably represents recharge from the Jemez Mountains during the last glacial period (median age 20,000 years). Water recharged from the Jemez Mountains during the last glacial period occurs at the water table in the central part of the basin and beneath younger recharge along the Rio Grande and the northern mountain front. In some parts of the basin, boundaries between hydrochemical zones appear to be near major faults that may affect ground-water flow. However, in other parts of the basin, such as along the east side of Albuquerque near the Sandia Fault zone, ground-water flow appears to be unaffected by major faults. Upward leakage of saline water occurs along some faults and can be a source of salinity and elevated arsenic concentrations in some ground water. A trough in the modern and predevelopment water table west of Albuquerque is centered along a zone of predominantly late Pleistocene age water through the center of the basin and is flanked and overlain along the trough boundary by water that infiltrated from the Rio Puerco on the west and the Rio Grande to the east. It is suggested that the groundwater trough is a relatively recent transient feature of the Santa Fe Group aquifer system. At Albuquerque, a distinct north-south boundary in deuterium content of ground water marks the division between recharge from the eastern mountain front and that from the Rio Grande.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri034131","usgsCitation":"Plummer, N., Bexfield, L.M., Anderholm, S.K., Sanford, W.E., and Busenberg, E., 2004, Geochemical characterization of ground-water flow in the Santa Fe Group aquifer system, Middle Rio Grande Basin, New Mexico (Version 1.2, November 20, 2012): U.S. Geological Survey Water-Resources Investigations Report 2003-4131, xvi, 395 p., https://doi.org/10.3133/wri034131.","productDescription":"xvi, 395 p.","startPage":"i","endPage":"395","numberOfPages":"414","additionalOnlineFiles":"Y","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":4915,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034131/","linkFileType":{"id":5,"text":"html"}},{"id":177321,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wri_2003_4131.gif"}],"country":"United States","state":"New Mexico","otherGeospatial":"Santa Fe Group aquifer system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.20458984375,\n              34.72355492704221\n            ],\n            [\n              -104.39208984375,\n              34.72355492704221\n            ],\n            [\n              -104.39208984375,\n              36.29741818650811\n            ],\n            [\n              -107.20458984375,\n              36.29741818650811\n            ],\n            [\n              -107.20458984375,\n              34.72355492704221\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.2, November 20, 2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae50f","contributors":{"authors":[{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":248816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bexfield, Laura M. 0000-0002-1789-654X bexfield@usgs.gov","orcid":"https://orcid.org/0000-0002-1789-654X","contributorId":1273,"corporation":false,"usgs":true,"family":"Bexfield","given":"Laura","email":"bexfield@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":248813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderholm, Scott K.","contributorId":94270,"corporation":false,"usgs":true,"family":"Anderholm","given":"Scott","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":248817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":248814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Busenberg, Eurybiades ebusenbe@usgs.gov","contributorId":2271,"corporation":false,"usgs":true,"family":"Busenberg","given":"Eurybiades","email":"ebusenbe@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":248815,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":53403,"text":"ofr20041015 - 2004 - Evaluating a Radar-Based, Non Contact Streamflow Measurement System in the San Joaquin River at Vernalis, California","interactions":[],"lastModifiedDate":"2012-02-02T00:11:26","indexId":"ofr20041015","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","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":"2004-1015","title":"Evaluating a Radar-Based, Non Contact Streamflow Measurement System in the San Joaquin River at Vernalis, California","docAbstract":"Accurate measurement of flow in the San Joaquin River at Vernalis, California, is vital to a wide range of Federal and State agencies, environmental interests, and water contractors. The U.S. Geological Survey uses a conventional stage-discharge rating technique to determine flows at Vernalis. Since the flood of January 1997, the channel has scoured and filled as much as 20 feet in some sections near the measurement site resulting in an unstable stage-discharge rating. In response to recent advances in measurement techniques and the need for more accurate measurement methods, the Geological Survey has undertaken a technology demonstration project to develop and deploy a radar-based streamflow measuring system on the bank of the San Joaquin River at Vernalis, California. The proposed flow-measurement system consists of a ground-penetrating radar system for mapping channel geometries, a microwave radar system for measuring surface velocities, and other necessary infrastructure. Cross-section information derived from ground penetrating radar provided depths similar to those measured by other instruments during the study. Likewise, surface-velocity patterns and magnitudes measured by the pulsed Doppler radar system are consistent with near surface current measurements derived from acoustic velocity instruments. Since the ratio of surface velocity to mean velocity falls to within a small range of theoretical value, using surface velocity as an index velocity to compute river discharge is feasable. Ultimately, the non-contact radar system may be used to make continuous, near-real-time flow measurements during high and medium flows. This report documents the data collected between April 14, 2002 and May 17, 2002 for the purposes of testing this radar based system. Further analyses of the data collected during this field effort will lead to further development and improvement of the system. ","language":"ENGLISH","doi":"10.3133/ofr20041015","usgsCitation":"Cheng, R.T., Gartner, J.W., Mason, Costa, J.E., Plant, W.J., Spicer, K.R., Haeni, F.P., Melcher, N.B., Keller, W.C., and Hayes, K., 2004, Evaluating a Radar-Based, Non Contact Streamflow Measurement System in the San Joaquin River at Vernalis, California: U.S. Geological Survey Open-File Report 2004-1015, 24 p.; 10 figs., https://doi.org/10.3133/ofr20041015.","productDescription":"24 p.; 10 figs.","costCenters":[],"links":[{"id":5181,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ofr2004-1015/","linkFileType":{"id":5,"text":"html"}},{"id":179622,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fb141","contributors":{"authors":[{"text":"Cheng, Ralph T.","contributorId":69134,"corporation":false,"usgs":true,"family":"Cheng","given":"Ralph","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":247525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartner, Jeffrey W.","contributorId":77524,"corporation":false,"usgs":true,"family":"Gartner","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":247527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":247520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Costa, John E.","contributorId":105743,"corporation":false,"usgs":true,"family":"Costa","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":247529,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plant, William J.","contributorId":21632,"corporation":false,"usgs":true,"family":"Plant","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":247523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spicer, Kurt R. 0000-0001-5030-3198 krspicer@usgs.gov","orcid":"https://orcid.org/0000-0001-5030-3198","contributorId":2684,"corporation":false,"usgs":true,"family":"Spicer","given":"Kurt","email":"krspicer@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":247521,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haeni, F. Peter","contributorId":41479,"corporation":false,"usgs":true,"family":"Haeni","given":"F.","email":"","middleInitial":"Peter","affiliations":[],"preferred":false,"id":247524,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Melcher, Nick B.","contributorId":73587,"corporation":false,"usgs":true,"family":"Melcher","given":"Nick","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":247526,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Keller, William C.","contributorId":16913,"corporation":false,"usgs":true,"family":"Keller","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":247522,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hayes, Ken","contributorId":81558,"corporation":false,"usgs":true,"family":"Hayes","given":"Ken","email":"","affiliations":[],"preferred":false,"id":247528,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":53746,"text":"ofr20041068 - 2004 - A compilation of rate parameters of water-mineral interaction kinetics for application to geochemical modeling","interactions":[],"lastModifiedDate":"2020-02-09T15:13:53","indexId":"ofr20041068","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","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":"2004-1068","title":"A compilation of rate parameters of water-mineral interaction kinetics for application to geochemical modeling","docAbstract":"Geochemical reaction path modeling is useful for rapidly assessing the extent of water-aqueous-gas interactions both in natural systems and in industrial processes. Modeling of some systems, such as those at low temperature with relatively high hydrologic flow rates, or those perturbed by the subsurface injection of industrial waste such as CO2 or H2S, must account for the relatively slow kinetics of mineral-gas-water interactions. We have therefore compiled parameters conforming to a general Arrhenius-type rate equation, for over 70 minerals, including phases from all the major classes of silicates, most carbonates, and many other non-silicates. The compiled dissolution rate constants range from -0.21 log moles m-2 s-1 for halite, to -17.44 log moles m-2 s-1 for kyanite, for conditions far from equilibrium, at 25 ?C, and pH near neutral. These data have been added to a computer code that simulates an infinitely well-stirred batch reactor, allowing computation of mass transfer as a function of time. Actual equilibration rates are expected to be much slower than those predicted by the selected computer code, primarily because actual geochemical processes commonly involve flow through porous or fractured media, wherein the development of concentration gradients in the aqueous phase near mineral surfaces, which results in decreased absolute chemical affinity and slower reaction rates. Further differences between observed and computed reaction rates may occur because of variables beyond the scope of most geochemical simulators, such as variation in grain size, aquifer heterogeneity, preferred fluid flow paths, primary and secondary mineral coatings, and secondary minerals that may lead to decreased porosity and clogged pore throats.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20041068","usgsCitation":"Palandri, J.L., and Kharaka, Y.K., 2004, A compilation of rate parameters of water-mineral interaction kinetics for application to geochemical modeling: U.S. Geological Survey Open-File Report 2004-1068, 70 p., https://doi.org/10.3133/ofr20041068.","productDescription":"70 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":178870,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5147,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2004/1068/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b27e4b07f02db6b0f66","contributors":{"authors":[{"text":"Palandri, James L.","contributorId":32235,"corporation":false,"usgs":true,"family":"Palandri","given":"James","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":248288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":248287,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":54049,"text":"ofr20041073 - 2004 - Surface- and Ground-Water Monitoring and Mapping of Selected Features at the Blue Ridge Parkway Mt. Pisgah Campground, Haywood County, North Carolina, 2002","interactions":[],"lastModifiedDate":"2016-12-07T16:34:35","indexId":"ofr20041073","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","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":"2004-1073","title":"Surface- and Ground-Water Monitoring and Mapping of Selected Features at the Blue Ridge Parkway Mt. Pisgah Campground, Haywood County, North Carolina, 2002","docAbstract":"During 2002, a baseline study of hydrologic conditions was conducted, and selected features were mapped within the Mt. Pisgah campground on the Blue Ridge Parkway in Haywood County, North Carolina. Field surveys were performed by using global positioning system equipment one time (January 2002) during the study to locate hydrologic and other types of features in the study area. Water-level and streamflow data and seasonal water-quality samples were collected from a stream that receives all surface-water drainage from the campground area. During 2002, water levels (stage) in the stream ranged from 1.09 to 1.89 feet above gage datum (4,838.06 to 4,838.86 feet above mean sea level). Flow in the stream ranged from 0.05 to 9.7 cubic feet per second. Annual daily mean flow for calendar year 2002 was approximately 0.35 cubic foot per second (about 226,000 gallons per day). Samples collected from the stream had low concentrations of all constituents measured. Four compounds associated with human activity (camphor, N,N-diethyl-meta-toluamide (the insect repellent DEET), tributylphosphate, and methylsalicylate) were detected in the stream samples; however, concentrations were less than detection levels. Stream samples collected in April and September and analyzed for fecal coliform bacteria had densities of 76 and 110 colonies per 100 milliliters of water, respectively. No violations of water-quality standards were noted for any constituent measured in the stream samples.\r\n\r\nSeven shallow ground-water wells were installed near a natural area in the center of the campground. Ground-water levels measured periodically in these wells and in two existing shallow piezometers generally were highest in the spring and lowest in the fall. Water temperature, pH, and specific conductance were measured in samples collected from the shallow wells in April and September 2002. Measured pH values were consistently lowest in samples from two wells on the west side of the natural area and highest in samples from the well located near the center of the natural area. Specific-conductance values measured in samples from wells on the east side of the natural area were lower than those measured in samples from the other wells. Specific-conductance values measured in samples from two wells on the west side and from one well near the center of the natural area generally were two to three times higher than the specific-conductance values measured in samples from wells on the east side of the natural area.\r\n\r\nSamples for fecal coliform bacteria were collected from six wells on September 11, 2002. The fecal coliform densities in samples from most of the wells were less than or equal to 8 colonies per 100 milliliters. Samples from two of the three wells on the west side of the natural area had coliform densities of 16 and 480 colonies per 100 milliliters.\r\n\r\nOther ground-water samples collected on September 11 and September 24 were analyzed with a spectrophotometer in the U.S. Geological Survey (USGS) North Carolina District Office for nitrate concentrations only. From the samples collected on September 11, estimated nitrate concentrations of 1 milligram per liter or less were detected in three wells, two on the west side and one on the east side of the natural area. Nitrate was not detected with a spectrophotometer in any of the ground-water samples collected on September 24. Indicator test strips also were used in the field to screen for nitrate and nitrite in ground-water samples collected on September 24. Nitrate was detected by test strips in one well on the west side of the natural area, with estimated concentrations of 1 milligram per liter or less indicated. Nitrite was not detected by the test strips in samples collected from any of the wells.","language":"ENGLISH","doi":"10.3133/ofr20041073","usgsCitation":"Smith, D.G., 2004, Surface- and Ground-Water Monitoring and Mapping of Selected Features at the Blue Ridge Parkway Mt. Pisgah Campground, Haywood County, North Carolina, 2002: U.S. Geological Survey Open-File Report 2004-1073, 39 p., https://doi.org/10.3133/ofr20041073.","productDescription":"39 p.","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":174755,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5491,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/of2004-1073/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","county":"Haywood County","otherGeospatial":"Mt. Pisgah Campground,","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.71307373046874,\n              35.67068501330236\n            ],\n            [\n              -83.71307373046874,\n              35.67068501330236\n            ],\n            [\n              -83.7103271484375,\n              35.67068501330236\n            ],\n            [\n              -83.7103271484375,\n              35.67068501330236\n            ],\n            [\n              -83.71307373046874,\n              35.67068501330236\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.25027465820312,\n              34.98837848142154\n            ],\n            [\n              -83.25027465820312,\n              35.64390523787731\n            ],\n            [\n              -82.47848510742188,\n              35.64390523787731\n            ],\n            [\n              -82.47848510742188,\n              34.98837848142154\n            ],\n            [\n              -83.25027465820312,\n              34.98837848142154\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aeee4b07f02db6911c7","contributors":{"authors":[{"text":"Smith, Douglas G. dgsmith@usgs.gov","contributorId":1532,"corporation":false,"usgs":true,"family":"Smith","given":"Douglas","email":"dgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":249054,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70157572,"text":"70157572 - 2004 - Filling Landsat ETM+ SLC-off gaps using a segmentation model approach","interactions":[],"lastModifiedDate":"2016-10-19T09:04:34","indexId":"70157572","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Filling Landsat ETM+ SLC-off gaps using a segmentation model approach","docAbstract":"<p>The purpose of this article is to present a methodology for filling Landsat Scan Line Corrector (SLC)-off gaps with same-scene spectral data guided by a segmentation model. Failure of the SLC on the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) instrument resulted in a loss of approximately 25 percent of the spectral data. The missing data span across most of the image with scan gaps varying in size from two pixels near the center of the image to 14 pixels along the east and west edges. Even with the scan gaps, the radiometric and geometric qualities of the remaining portions of the image still meet design specifications and therefore contain useful information (see http:// landsat7.usgs.gov for additional information). The U.S. Geological Survey EROS Data Center (EDC) is evaluating several techniques to fill the gaps in SLC-off data to enhance the usability of the imagery (Howard and Lacasse 2004) (PE&amp;RS, August 2004). The method presented here uses a segmentation model approach that allows for same-scene spectral data to be used to fill the gaps. The segment model is generated from a complete satellite image with no missing spectral data (e.g., Landsat 5, Landsat 7 SLCon, SPOT). The model is overlaid on the Landsat SLC-off image, and the missing data within the gaps are then estimated using SLC-off spectral data that intersect the segment boundary. A major advantage of this approach is that the gaps are filled using spectral data derived from the same SLC-off satellite image.</p>","language":"English","publisher":"ASPRS","usgsCitation":"Maxwell, S., 2004, Filling Landsat ETM+ SLC-off gaps using a segmentation model approach: Photogrammetric Engineering and Remote Sensing, v. 70, no. 10, p. 1109-1111.","productDescription":"3 p.","startPage":"1109","endPage":"1111","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":308671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308670,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/Photogrammetric-Engineering-and-Remote-Sensing/PE-RS-Archive-Search-2009-and-earlier.html"}],"volume":"70","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560a64c2e4b058f706e536c7","contributors":{"authors":[{"text":"Maxwell, Susan","contributorId":30354,"corporation":false,"usgs":true,"family":"Maxwell","given":"Susan","affiliations":[],"preferred":false,"id":573682,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70159627,"text":"70159627 - 2004 - A simplified diagnostic model of orographic rainfall for enhancing satellite-based rainfall estimates in data-poor regions","interactions":[],"lastModifiedDate":"2015-11-13T11:36:13","indexId":"70159627","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2168,"text":"Journal of Applied Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"A simplified diagnostic model of orographic rainfall for enhancing satellite-based rainfall estimates in data-poor regions","docAbstract":"<p><span>An extension of Sinclair's diagnostic model of orographic precipitation (&ldquo;VDEL&rdquo;) is developed for use in data-poor regions to enhance rainfall estimates. This extension (VDELB) combines a 2D linearized internal gravity wave calculation with the dot product of the terrain gradient and surface wind to approximate terrain-induced vertical velocity profiles. Slope, wind speed, and stability determine the velocity profile, with either sinusoidal or vertically decaying (evanescent) solutions possible. These velocity profiles replace the parameterized functions in the original VDEL, creating VDELB, a diagnostic accounting for buoyancy effects. A further extension (VDELB*) uses an on/off constraint derived from reanalysis precipitation fields. A validation study over 365 days in the Pacific Northwest suggests that VDELB* can best capture seasonal and geographic variations. A new statistical data-fusion technique is presented and is used to combine VDELB*, reanalysis, and satellite rainfall estimates in southern Africa. The technique, matched filter regression (MFR), sets the variance of the predictors equal to their squared correlation with observed gauge data and predicts rainfall based on the first principal component of the combined data. In the test presented here, mean absolute errors from the MFR technique were 35% lower than the satellite estimates alone. VDELB assumes a linear solution to the wave equations and a Boussinesq atmosphere, and it may give unrealistic responses under extreme conditions. Nonetheless, the results presented here suggest that diagnostic models, driven by reanalysis data, can be used to improve satellite rainfall estimates in data-sparse regions.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JAM2138.1","usgsCitation":"Funk, C.C., and Michaelsen, J.C., 2004, A simplified diagnostic model of orographic rainfall for enhancing satellite-based rainfall estimates in data-poor regions: Journal of Applied Meteorology, v. 43, no. 10, p. 1366-1378, https://doi.org/10.1175/JAM2138.1.","productDescription":"13 p.","startPage":"1366","endPage":"1378","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":478022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jam2138.1","text":"Publisher Index Page"},{"id":311298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"10","noUsgsAuthors":false,"publicationDate":"2004-10-01","publicationStatus":"PW","scienceBaseUri":"564717bce4b0e2669b3130fd","contributors":{"authors":[{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":579767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michaelsen, Joel C.","contributorId":91790,"corporation":false,"usgs":true,"family":"Michaelsen","given":"Joel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":579768,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156209,"text":"70156209 - 2004 - Trends in night-time city lights and vegetation indices associated with urbanization within the conterminous USA","interactions":[],"lastModifiedDate":"2015-08-13T15:23:33","indexId":"70156209","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Trends in night-time city lights and vegetation indices associated with urbanization within the conterminous USA","docAbstract":"<p><span>Two datasets that depict the night-time light emitted from the conterminous USA during 1992/1993 and 2000 were compared for changes in light emission. The locations of observed differences in night-time light during this interval were examined for differences observed in a time-integrated vegetation index associated with net primary production. Just over 13% of the land area within the study region exhibited greater night-time light emitted in 2000 compared to 1992/1993. The locations of greater emitted light were found to have decreased values of the time-integrated vegetation index compared to locations that did not exhibit significant increases in emitted light. The observed decrease in the time-integrated vegetation index within the regions of greater emitted light is likely to be due to the change in land cover (increased urbanization) during this interval. The results suggest that the emitted light data were more useful for assessment of urban growth than the integrated vegetation index data.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160310001640964","usgsCitation":"Gallo, K.P., Elvidge, C., Yang, L., and Reed, B.C., 2004, Trends in night-time city lights and vegetation indices associated with urbanization within the conterminous USA: International Journal of Remote Sensing, v. 25, no. 10, p. 2003-2007, https://doi.org/10.1080/01431160310001640964.","productDescription":"5 p.","startPage":"2003","endPage":"2007","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":306690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    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           31.653381399664\n            ],\n            [\n              -105.1171875,\n              30.44867367928756\n            ],\n            [\n              -104.4140625,\n              29.075375179558346\n            ],\n            [\n              -102.83203125,\n              28.69058765425071\n            ],\n            [\n              -102.3046875,\n              29.458731185355344\n            ],\n            [\n              -101.42578124999999,\n              29.53522956294847\n            ],\n            [\n              -100.546875,\n              28.14950321154457\n            ],\n            [\n              -99.580078125,\n              26.509904531413927\n            ],\n            [\n              -97.470703125,\n              25.878994400196202\n            ],\n            [\n              -97.294921875,\n              27.059125784374068\n            ],\n            [\n              -96.328125,\n              28.613459424004414\n            ],\n            [\n              -94.482421875,\n              29.38217507514529\n            ],\n            [\n              -92.197265625,\n              29.152161283318915\n            ],\n            [\n              -90.703125,\n              29.152161283318915\n            ],\n            [\n              -89.296875,\n              28.767659105691255\n            ],\n            [\n              -89.12109375,\n              29.76437737516313\n            ],\n            [\n              -88.9453125,\n              30.221101852485987\n            ],\n            [\n              -87.62695312499999,\n              30.221101852485987\n            ],\n            [\n              -85.869140625,\n              30.221101852485987\n            ],\n            [\n              -85.078125,\n              29.458731185355344\n            ],\n            [\n              -84.19921875,\n              29.916852233070173\n            ],\n            [\n              -83.14453125,\n              29.075375179558346\n            ],\n            [\n              -82.96875,\n              27.68352808378776\n            ],\n            [\n              -82.265625,\n              26.509904531413927\n            ],\n            [\n              -81.5625,\n              25.16517336866393\n            ],\n            [\n              -80.5078125,\n              25.3241665257384\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"10","noUsgsAuthors":false,"publicationDate":"2010-06-02","publicationStatus":"PW","scienceBaseUri":"55cdbfbfe4b08400b1fe1453","contributors":{"authors":[{"text":"Gallo, K. P.","contributorId":86527,"corporation":false,"usgs":true,"family":"Gallo","given":"K.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":568066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elvidge, C.D.","contributorId":35506,"corporation":false,"usgs":true,"family":"Elvidge","given":"C.D.","affiliations":[],"preferred":false,"id":568067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, L.","contributorId":146507,"corporation":false,"usgs":false,"family":"Yang","given":"L.","email":"","affiliations":[],"preferred":false,"id":568068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Bradley C. 0000-0002-1132-7178 reed@usgs.gov","orcid":"https://orcid.org/0000-0002-1132-7178","contributorId":2901,"corporation":false,"usgs":true,"family":"Reed","given":"Bradley","email":"reed@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":568069,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":55234,"text":"ofr20041069 - 2004 - A 30-year record of surface mass balance (1966-95) and motion and surface altitude (1975-95) at Wolverine Glacier, Alaska","interactions":[],"lastModifiedDate":"2026-01-12T14:19:42.180694","indexId":"ofr20041069","displayToPublicDate":"2004-10-01T00:00:00","publicationYear":"2004","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":"2004-1069","title":"A 30-year record of surface mass balance (1966-95) and motion and surface altitude (1975-95) at Wolverine Glacier, Alaska","docAbstract":"Scientific measurements at Wolverine Glacier, on the Kenai Peninsula in south-central Alaska, began in April 1966. At three long-term sites in the research basin, the measurements included snow depth, snow density, heights of the glacier surface and stratigraphic summer surfaces on stakes, and identification of the surface materials. Calculations of the mass balance of the surface strata-snow, new firn, superimposed ice, and old firn and ice mass at each site were based on these measurements. Calculations of fixed-date annual mass balances for each hydrologic year (October 1 to September 30), as well as net balances and the dates of minimum net balance measured between time-transgressive summer surfaces on the glacier, were made on the basis of the strata balances augmented by air temperature and precipitation recorded in the basin. From 1966 through 1995, the average annual balance at site A (590 meters altitude) was -4.06 meters water equivalent; at site B (1,070 meters altitude), was -0.90 meters water equivalent; and at site C (1,290 meters altitude), was +1.45 meters water equivalent. \r\n\r\nGeodetic determination of displacements of the mass balance stake, and glacier surface altitudes was added to the data set in 1975 to detect the glacier motion responses to variable climate and mass balance conditions. The average surface speed from 1975 to 1996 was 50.0 meters per year at site A, 83.7 meters per year at site B, and 37.2 meters per year at site C. The average surface altitudes were 594 meters at site A, 1,069 meters at site B, and 1,293 meters at site C; the glacier surface altitudes rose and fell over a range of 19.4 meters at site A, 14.1 meters at site B, and 13.2 meters at site C.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20041069","usgsCitation":"Mayo, L.R., Trabant, D.C., and March, R.S., 2004, A 30-year record of surface mass balance (1966-95) and motion and surface altitude (1975-95) at Wolverine Glacier, Alaska: U.S. Geological Survey Open-File Report 2004-1069, Report: 114 p.; 8 Figures; 14 Tables; 6 Graphs, https://doi.org/10.3133/ofr20041069.","productDescription":"Report: 114 p.; 8 Figures; 14 Tables; 6 Graphs","onlineOnly":"Y","costCenters":[],"links":[{"id":174683,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5412,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2004/1069/index.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Wolverine Glacier","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -148.9552286965866,\n              60.47322485081483\n            ],\n            [\n              -148.9552286965866,\n              60.378911924259455\n            ],\n            [\n              -148.77897459647195,\n              60.378911924259455\n            ],\n            [\n              -148.77897459647195,\n              60.47322485081483\n            ],\n            [\n              -148.9552286965866,\n              60.47322485081483\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd493ee4b0b290850ef054","contributors":{"authors":[{"text":"Mayo, Lawrence R.","contributorId":98344,"corporation":false,"usgs":true,"family":"Mayo","given":"Lawrence","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":252981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trabant, Dennis C.","contributorId":13965,"corporation":false,"usgs":true,"family":"Trabant","given":"Dennis","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":252980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"March, Rod S. rsmarch@usgs.gov","contributorId":416,"corporation":false,"usgs":true,"family":"March","given":"Rod","email":"rsmarch@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":252979,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":54081,"text":"wri034050 - 2004 - Quality of water from shallow wells in the rice-growing area in southwestern Louisiana, 1999 through 2001","interactions":[],"lastModifiedDate":"2013-08-01T15:13:02","indexId":"wri034050","displayToPublicDate":"2004-09-01T07:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4050","title":"Quality of water from shallow wells in the rice-growing area in southwestern Louisiana, 1999 through 2001","docAbstract":"In 1999-2001, the U.S. Geological Survey installed and sampled 27 shallow wells in the \n\nrice-growing area in southwestern Louisiana as part of the Acadian-Pontchartrain Study Unit of \n\nthe National Water-Quality Assessment Program.  The purpose of this report is to describe the \n\nwaulity of water from shallow wells in the rice-growing area and to relate that water quality to \n\nnatural and anthropogenic activities, particularly rice agriculture.  Ground-water samples were \n\nanalyzed for general ground-water properties and about 150 water-quality constituents, including \n\nmajor inorganic ions, trace elements, nutrients, dissolved organic carbon (DOC), pesticides, \n\nradon, chloroflourocarbons, and selected stable isotopes.\n\nDissolved solids concentrations for 17 wells exceeded the U.S. Environmental Protection Agency \n\nsecondary minimum containment level of 500 milligrams per liter (mg/L) for drinking water.  \n\nConcentrations for major pesticides generally were less than the maximum contaminant levels for \n\ndrinking water.  Two major inorganic ions, sulfate and chloride, and two trace elements, iron \n\nand manganese, had concentrations that were greater than the secondary maximum containment \n\nlevels.  Three nutrient concentrations were greater than 2 mg/L, a level that might indicate \n\ncontamination from human activities, and one nutrient concentration (that for nitrite plus \n\nnitrite as nitrogen) was greater than the maximum contaminant level of 10 mg/L for drinking \n\nwater.  The median concentration for DOC was 0.5 mg/L, indicating naturally-occurring DOC \n\nconditions in the study area.  Thirteen pesticides and 7 pesticide degradation products were \n\ndetected in 14 of the 27 wells sampled.  Bentazon, 2, 4-D, and molinate (three rice herbicides) \n\nwere detected in water from four, one, and one wells, respectively, and malathion (a rice \n\ninsecticide) was deteced in water fromone well.  Low-level concentrations and few detections of \n\nnutrients and pesticides indicated that ground-water quality was affected slightly by \n\nanthropogenic activities.  Quality-control samples, including field blanks, replicates, and \n\nspikes, indicated no bias in ground-water data from collection on analysis. \n\nRadon concentrations for 22 of the 24 wells sampled wer at or greater than the U.S. \n\nEnvironmental Protection Agency proposed maximum contaminant level of 300 picocuries per liter.  \n\nChlorofluorocarbon concentrations in selected wells indicated the apparent ages of the ground \n\nwater varied with depth water level and ranged from about 17 to 49 years.  The stable isotopes \n\nof hydrogen and oxygen in water molecules indicated the origin of ground water in the study area \n\nwas rainwater that originated near the study area and that few geochemical or physical processes \n\ninfluenced the stable isotopic composition of the shallow ground water.\n\nThe Spearman rank correlation was used to detemrine whther significant correlations existed between physical properties, selected chemical constituents, the number of pesticides detected, and the apparent age of water.  The depth to ground water was positively correlated to the well depth and inversely correlated to dissolved solids and other constituents, such as radon, indicating the ground water was under unconfined or semiconfined conditions and more dilute with increasing depth.  As the depth to ground water increased, the concentrations of dissolved solids and other constituents decreased, possibly because the deeper sands had a greater transmittal of ground water, which, over time, would flush out, or dilute, the concentrations of dissolved solids in the natural sediments.  The apparent age of water was correlated inversely with nitrite plus nitrite concentration, indicating that as apparent age increased, the nitrite plus nitrite concentration decreased.  No significant correlations existed between the number of pesticides detected and any of the physical or chemica","language":"ENGLISH","doi":"10.3133/wri034050","usgsCitation":"Tollett, R.W., and Fendick, R., 2004, Quality of water from shallow wells in the rice-growing area in southwestern Louisiana, 1999 through 2001: U.S. Geological Survey Water-Resources Investigations Report 2003-4050, 44 p., https://doi.org/10.3133/wri034050.","productDescription":"44 p.","costCenters":[],"links":[{"id":178108,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2003/4050/report-thumb.jpg"},{"id":275849,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2003/4050/report.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db686309","contributors":{"authors":[{"text":"Tollett, Roland W. 0000-0002-4726-5845 rtollett@usgs.gov","orcid":"https://orcid.org/0000-0002-4726-5845","contributorId":1896,"corporation":false,"usgs":true,"family":"Tollett","given":"Roland","email":"rtollett@usgs.gov","middleInitial":"W.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":249164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fendick, Robert B. Jr. rfendick@usgs.gov","contributorId":1313,"corporation":false,"usgs":true,"family":"Fendick","given":"Robert B.","suffix":"Jr.","email":"rfendick@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":249163,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":54146,"text":"sir20045046 - 2004 - Hydrologic and geochemical evaluation of aquifer storage recovery in the Santee Limestone/Black Mingo Aquifer, Charleston, South Carolina, 1998-2002","interactions":[],"lastModifiedDate":"2020-02-09T15:42:11","indexId":"sir20045046","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5046","displayTitle":"Hydrologic and Geochemical Evaluation of Aquifer Storage Recovery in the Santee Limestone/Black Mingo Aquifer, Charleston, South Carolina, 1998-2002","title":"Hydrologic and geochemical evaluation of aquifer storage recovery in the Santee Limestone/Black Mingo Aquifer, Charleston, South Carolina, 1998-2002","docAbstract":"<p>The hydrologic and geochemical effects of aquifer storage recovery were evaluated to determine the potential for supplying the city of Charleston, South Carolina, with large quantities of potable water during emergencies, such as earthquakes, hurricanes, or hard freezes. An aquifer storage recovery system, including a production well and three observation wells, was installed at a site located on the Charleston peninsula. The focus of this study was the 23.2-meter thick Tertiary-age carbonate and sand aquifer of the Santee Limestone and the Black Mingo Group, the northernmost equivalent of the Floridan aquifer system. Four cycles of injection, storage, and recovery were conducted between October 1999 and February 2002. Each cycle consisted of injecting between 6.90 and 7.19 million liters of water for storage periods of 1, 3, or 6 months. The volume of recovered water that did not exceed the U.S. Environmental Protection Agency secondary standard for chloride (250 milligrams per liter) varied from 1.48 to 2.46 million liters, which is equivalent to 21 and 34 percent of the total volume injected for the individual tests. Aquifer storage recovery testing occurred within two productive zones of the brackish Santee Limestone/Black Mingo aquifer. The individual productive zones were determined to be approximately 2 to 4 meters thick, based on borehole geophysical logs, electromagnetic flow-meter testing, and specific-conductance profiles collected within the observation wells. A transmissivity and storage coefficient of 37 meters squared per day and 3 x 10-5, respectively, were determined for the Santee Limestone/Black Mingo aquifer. Water-quality and sediment samples collected during this investigation documented baseline aquifer and injected water quality, aquifer matrix composition, and changes in injected/aquifer water quality during injection, storage, and recovery. A total of 193 water-quality samples were collected and analyzed for physical properties, major and minor ions, and nutrients. The aquifer and treated surface water were sodiumchloride and calcium/sodium-bicarbonate water types, respectively. Forty-five samples were collected and analyzed for total trihalomethane. Total trihalomethane data collected during aquifer storage recovery cycle 4 indicated that this constituent would not restrict the use of recovered water for drinking-water purposes. Analysis of six sediment samples collected from a cored well located near the aquifer storage recovery site showed that quartz and calcite were the dominant minerals in the Santee Limestone/Black Mingo aquifer. Estimated cation exchange capacity ranged from 12 to 36 milliequivalents per 100 grams in the lower section of the aquifer. A reactive transport model was developed that included two 2-meter thick layers to describe each of the production zones. The four layers composing the production zones were assigned porosities ranging from 0.1 to 0.3 and hydraulic conductivities ranging from 1 to 8.4 meters per day. Specific storage of the aquifer and confining units was estimated to be 1.5 x 10-5 meter-1. Longitudinal dispersivity of all layers was specified to be 0.5 meter. Leakage through the confining unit was estimated to be minimal and, therefore, not used in the reactive transport modeling. Inverse geochemical modeling indicates that mixing, cation exchange, and calcite dissolution are the dominant reactions that occur during aquifer storage recovery testing in the Santee Limestone/Black Mingo aquifer. Potable water injected into the Santee Limestone/Black Mingo aquifer evolved chemically by mixing with brackish background water and reaction with calcite and cation exchangers in the sediment. Reactive-transport model simulations indicated that the calcite and exchange reactions could be treated as equilibrium processes.&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20045046","usgsCitation":"Petkewich, M.D., Parkhurst, D.L., Conlon, K.J., Campbell, B.G., and Mirecki, J.E., 2004, Hydrologic and geochemical evaluation of aquifer storage recovery in the Santee Limestone/Black Mingo Aquifer, Charleston, South Carolina, 1998-2002: U.S. Geological Survey Scientific Investigations Report 2004-5046, 92 p., https://doi.org/10.3133/sir20045046.","productDescription":"92 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":184845,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5592,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20045046/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Carolina","city":"Charleston","otherGeospatial":"Santee Limestone/Black Mingo Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.6451416015625,\n              32.41706632846282\n            ],\n            [\n              -80.6451416015625,\n              33.211116472416855\n            ],\n            [\n              -79.31579589843749,\n              33.211116472416855\n            ],\n            [\n              -79.31579589843749,\n              32.41706632846282\n            ],\n            [\n              -80.6451416015625,\n              32.41706632846282\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db6118d7","contributors":{"authors":[{"text":"Petkewich, Matthew D. 0000-0002-5749-6356 mdpetkew@usgs.gov","orcid":"https://orcid.org/0000-0002-5749-6356","contributorId":982,"corporation":false,"usgs":true,"family":"Petkewich","given":"Matthew","email":"mdpetkew@usgs.gov","middleInitial":"D.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":249325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parkhurst, David L. 0000-0003-3348-1544 dlpark@usgs.gov","orcid":"https://orcid.org/0000-0003-3348-1544","contributorId":1088,"corporation":false,"usgs":true,"family":"Parkhurst","given":"David","email":"dlpark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":249327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conlon, Kevin J. 0000-0003-0798-368X kjconlon@usgs.gov","orcid":"https://orcid.org/0000-0003-0798-368X","contributorId":2561,"corporation":false,"usgs":true,"family":"Conlon","given":"Kevin","email":"kjconlon@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":249328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Bruce G. 0000-0003-4800-6674 bcampbel@usgs.gov","orcid":"https://orcid.org/0000-0003-4800-6674","contributorId":995,"corporation":false,"usgs":true,"family":"Campbell","given":"Bruce","email":"bcampbel@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":249326,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mirecki, June E.","contributorId":93577,"corporation":false,"usgs":true,"family":"Mirecki","given":"June","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":249329,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":53618,"text":"sir20045016 - 2004 - Trends in streamflow and comparisons with instream flows in the lower Puyallup River basin, Washington","interactions":[],"lastModifiedDate":"2017-03-29T12:37:12","indexId":"sir20045016","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5016","title":"Trends in streamflow and comparisons with instream flows in the lower Puyallup River basin, Washington","docAbstract":"<p>The Puyallup Tribe of Indians is interested in better understanding the water resources of the lower Puyallup River Basin in order to ensure sufficient water to meet Tribal and hatchery needs and make future water-resource decisions. The U.S. Geological Survey, in cooperation with the Puyallup Tribe, conducted a study to identify trends in streamflow in the lower Puyallup River Basin and to compare streamflows in the Puyallup River with regulatory minimum instream flows. Daily mean streamflow, monthly mean streamflow for October, and annual mean streamflow records from 1980 through 2001 for two gaging stations on the lower Puyallup River and one each on Clarks Creek and Swan Creek in the lower Puyallup River Basin were analyzed for temporal trends. Daily mean streamflow records were divided into data sets for the wet period (November through June) and the dry period (July through October) for analysis. Annual precipitation records from three National Weather Service stations and ground-water-level records from five wells in the lower Puyallup River Basin were analyzed to determine possible relations with streamflow. Daily mean streamflow, daily minimum streamflow, and unit-streamflow records for the Puyallup River for 1991 and 1992 were evaluated for the instream-flow analysis. </p><p>Significant temporal trends were not identified in daily mean streamflow records from the Puyallup River, Clarks Creek, or Swan Creek for the period of analysis. Trend analysis of monthly mean streamflow records for October at two gaging stations on the Puyallup River also indicated no significant trends for the period of analysis. Temporal trends were not evident in precipitation data from weather stations in the basin. A trend of decreasing depth to ground water with time (1995 through 1997) was identified in one well (20N/04E-34G01). This well is drilled to about 550 feet below land surface, and variations in water levels at this depth likely do not affect streamflow in the Puyallup River. Data limitations prevented the evaluation of possible correlations between streamflow in the Puyallup River and water use and land use in the study basin. </p><p>Daily mean, daily minimum, and unit-streamflow values were evaluated to determine how each measure of streamflow compared with instream-flow values. The occurrence of excursions (streamflow below the instream-flow value) was greatest when unit-streamflow values were compared with instream-flow values. The use of daily mean streamflow records may underestimate the occurrence of excursions under certain streamflow conditions. </p><p>The unit-streamflow hydrograph for the Puyallup River at Puyallup exhibits a distinct, regular pattern. The hydrograph closely mimics the hydrograph at Lake Tapps Diversion, on the White River, a tributary of the Puyallup River, which is the outflow from a power plant, suggesting that the power-plant outflow affects streamflow in the Puyallup River. Streamflow entering Lake Tapps through the White River Canal does not exhibit the same pattern as the Puyallup River or diversion. The influence of the White River Canal on streamflow in the Puyallup River appears to be obscured by operation of the Lake Tapps Diversion.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20045016","collaboration":"Prepared in cooperation with the Puyallup Tribe of Indians","usgsCitation":"Sumioka, S.S., 2004, Trends in streamflow and comparisons with instream flows in the lower Puyallup River basin, Washington: U.S. Geological Survey Scientific Investigations Report 2004-5016, vi, 46 p., https://doi.org/10.3133/sir20045016.","productDescription":"vi, 46 p.","costCenters":[],"links":[{"id":176977,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4901,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5016/","linkFileType":{"id":5,"text":"html"}},{"id":338605,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2004/5016/pdf/SIR20045016.pdf","text":"Report","size":"4.34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Washington","otherGeospatial":"Lower Puyallup River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.5,\n              47\n            ],\n            [\n              -121.9,\n              47\n            ],\n            [\n              -121.9,\n              47.3\n            ],\n            [\n              -122.5,\n              47.3\n            ],\n            [\n              -122.5,\n              47\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697d3c","contributors":{"authors":[{"text":"Sumioka, Steve S.","contributorId":71615,"corporation":false,"usgs":true,"family":"Sumioka","given":"Steve","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":247926,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":54257,"text":"sir20045005 - 2004 - Third U.S. Geological Survey Wildland Fire-Science Workshop : Denver, Colorado, November 12-15, 2002","interactions":[],"lastModifiedDate":"2017-08-22T14:22:41","indexId":"sir20045005","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5005","title":"Third U.S. Geological Survey Wildland Fire-Science Workshop : Denver, Colorado, November 12-15, 2002","docAbstract":"Executive Summary -- The historically significant wildland fire events that occurred in the United States during 2000 and 2002, together with the associated recognition of the need for a different national policy of forest management, has led to an increased awareness of the need for cooperative effort among all Federal agencies in planning for and managing the risks and consequences of wildland fire. The expertise and capabilities of the U.S. Geological Survey (USGS) are significant resources in this regard, and the agency is becoming increasingly involved in fire-science activities in support of the various land-management agencies that are dealing directly with this issue.\r\n\r\nThe First USGS Wildland Fire Workshop was held in Sioux Falls, South Dakota, in 1997 and helped to establish the direction of USGS in sharing its expertise with the fire-management agencies. The Second USGS Wildland Fire Workshop was held in Los Alamos, New Mexico, in 2000 and brought together all the agencies involved in the management of wildland fires in order to determine their needs, to demonstrate USGS capabilities to meet those needs, and to establish methods for the USGS to distribute data and tools useful in fire management. It enhanced the relationships developed during the 1997 workshop and helped to define USGS' role in the fire-management community.\r\n\r\nThe Third USGS Wildland Fire-Science Workshop, held in Denver, Colorado, November 12?15, 2002, was an opportunity for exchange of information on recent progress in the area of fire science and to determine the gaps in fire-science research that could be addressed by the USGS. In addition to more than 90 USGS scientists engaged in fire-related research and managers of organizational units involved in some aspect of wildland fire activities, the workshop was attended by about 30 representatives of 11 other Federal agencies. There also were a number of attendees affiliated with several universities, private companies, and State and local agencies.\r\n\r\nThe 4-day meeting consisted of a pre-workshop field trip to the Hayman Fire area, several keynote presentations, five panel discussions, presentation and 'breakout' discussion of four 'white paper' topics, and a poster session with more than 30 presentations.","language":"ENGLISH","doi":"10.3133/sir20045005","usgsCitation":"Livingston, R.K., 2004, Third U.S. Geological Survey Wildland Fire-Science Workshop : Denver, Colorado, November 12-15, 2002: U.S. Geological Survey Scientific Investigations Report 2004-5005, vii, 67 p. : col. ill. ; 28 cm., https://doi.org/10.3133/sir20045005.","productDescription":"vii, 67 p. : col. ill. ; 28 cm.","costCenters":[],"links":[{"id":345026,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2004/5055/SIR2004-5055.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":345027,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2004/5055/Plate1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":345028,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2004/5055/Plate2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":5370,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20045005/","linkFileType":{"id":5,"text":"html"}},{"id":174582,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":345029,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2004/5055/Plate3.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697d69","contributors":{"authors":[{"text":"Livingston, Russell K.","contributorId":69582,"corporation":false,"usgs":true,"family":"Livingston","given":"Russell","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":249682,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":54262,"text":"sir20045024 - 2004 - Methods to Identify Changes in Background Water-Quality Conditions Using Dissolved-Solids Concentrations and Loads as Indicators, Arkansas River and Fountain Creek, in the Vicinity of Pueblo, Colorado","interactions":[],"lastModifiedDate":"2012-02-02T00:11:53","indexId":"sir20045024","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5024","title":"Methods to Identify Changes in Background Water-Quality Conditions Using Dissolved-Solids Concentrations and Loads as Indicators, Arkansas River and Fountain Creek, in the Vicinity of Pueblo, Colorado","docAbstract":"Effective management of existing water-storage capacity in the Arkansas River Basin is anticipated to help satisfy the need for water in southeastern Colorado. A strategy to meet these needs has been developed, but implementation could affect the water quality of the Arkansas River and Fountain Creek in the vicinity of Pueblo, Colorado. Because no known methods are available to determine what effects future changes in operations will have on water quality, the U.S. Geological Survey, in cooperation with the Southeastern Colorado Water Activity Enterprise, began a study in 2002 to develop methods that could identify if future water-quality conditions have changed significantly from background (preexisting) water-quality conditions. A method was developed to identify when significant departures from background (preexisting) water-quality conditions occur in the lower Arkansas River and Fountain Creek in the vicinity of Pueblo, Colorado. Additionally, the methods described in this report provide information that can be used by various water-resource agencies for an internet-based decision-support tool. \r\n\r\nEstimated dissolved-solids concentrations at five sites in the study area were evaluated to designate historical background conditions and to calculate tolerance limits used to identify statistical departures from background conditions. This method provided a tool that could be applied with defined statistical probabilities associated with specific tolerance limits. Drought data from 2002 were used to test the method. Dissolved-solids concentrations exceeded the tolerance limits at all four sites on the Arkansas River at some point during 2002. The number of exceedances was particularly evident when streamflow from Pueblo Reservoir was reduced, and return flows and ground-water influences to the river were more prevalent. No exceedances were observed at the site on Fountain Creek. These comparisons illustrated the need to adjust the concentration data to account for varying streamflow. As such, similar comparisons between flow-adjusted data were done. At the site Arkansas River near Avondale, nearly all the 2002 flow-adjusted concentration data were less than the flow-adjusted tolerance limit which illustrated the effects of using flow-adjusted concentrations. Numerous exceedances of the flow-adjusted tolerance limits, however, were observed at the sites Arkansas River above Pueblo and Arkansas River at Pueblo. These results indicated that the method was able to identify a change in the ratio of source waters under drought conditions. Additionally, tolerance limits were calculated for daily dissolved-solids load and evaluated in a similar manner. \r\n\r\nSeveral other mass-load approaches were presented to help identify long-term changes in water quality. These included comparisons of cumulative mass load at selected sites and comparisons of mass load contributed at the Arkansas River near Avondale site by measured and unmeasured sources.","language":"ENGLISH","doi":"10.3133/sir20045024","usgsCitation":"Ortiz, R.F., 2004, Methods to Identify Changes in Background Water-Quality Conditions Using Dissolved-Solids Concentrations and Loads as Indicators, Arkansas River and Fountain Creek, in the Vicinity of Pueblo, Colorado: U.S. Geological Survey Scientific Investigations Report 2004-5024, iv, 20 p. : col. ill., col. map ; 28 cm.; 11 figs., https://doi.org/10.3133/sir20045024.","productDescription":"iv, 20 p. : col. ill., col. map ; 28 cm.; 11 figs.","costCenters":[],"links":[{"id":5375,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20045024","linkFileType":{"id":5,"text":"html"}},{"id":175234,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a55e4b07f02db62cdef","contributors":{"authors":[{"text":"Ortiz, Roderick F. rfortiz@usgs.gov","contributorId":1126,"corporation":false,"usgs":true,"family":"Ortiz","given":"Roderick","email":"rfortiz@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":249691,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":53906,"text":"sir20045058 - 2004 - Ground-Water System in the Chimacum Creek Basin and Surface Water/Ground Water Interaction in Chimacum and Tarboo Creeks and the Big and Little Quilcene Rivers, Eastern Jefferson County, Washington","interactions":[],"lastModifiedDate":"2012-02-02T00:11:47","indexId":"sir20045058","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5058","title":"Ground-Water System in the Chimacum Creek Basin and Surface Water/Ground Water Interaction in Chimacum and Tarboo Creeks and the Big and Little Quilcene Rivers, Eastern Jefferson County, Washington","docAbstract":"A detailed study of the ground-water system in the unconsolidated glacial deposits in the Chimacum Creek Basin and the interactions between surface water and ground water in four main drainage basins was conducted in eastern Jefferson County, Washington. The study will assist local watershed planners in assessing the status of the water resources and the potential effects of ground-water development on surface-water systems. A new surficial geologic map of the Chimacum Creek Basin and a series of hydrogeologic sections were developed by incorporating LIDAR imagery, existing map sources, and drillers' logs from 110 inventoried wells. The hydrogeologic framework outlined in the study will help characterize the occurrence of ground water in the unconsolidated glacial deposits and how it interacts with the surface-water system. \r\n\r\nWater levels measured throughout the study show that the altitude of the water table parallels the surface topography and ranges from 0 to 400 feet above the North American Vertical Datum of 1988 across the basin, and seasonal variations in precipitation due to natural cycles generally are on the order of 2 to 3 feet. Synoptic stream-discharge measurements and instream mini-piezometers and piezometers with nested temperature sensors provided additional data to refine the positions of gaining and losing reaches and delineate seasonal variations. Chimacum Creek generally gains water from the shallow ground-water system, except near the community of Chimacum where localized losses occur. In the lower portions of Chimacum Creek, gaining conditions dominate in the summer when creek stages are low and ground-water levels are high, and losing conditions dominate in the winter when creek stages are high relative to ground-water levels.\r\n\r\nIn the Quilcene Bay area, three drainage basins were studied specifically to assess surface water/ground water interactions. The upper reaches of Tarboo Creek generally gain water from the shallow ground-water system throughout most of the year and the lower reaches have little or no gains. The Big Quilcene River generally gains water from the shallow ground-water system after it emerges from a bedrock canyon and loses water from the town of Quilcene to the mouth of the river in Quilcene Bay. The Little Quilcene River generally loses water to the shallow ground-water system, although two localized areas were found to have gaining conditions. The Big Quilcene and Little Quilcene Rivers incur significant losses on the alluvial plain at the head of Quilcene Bay.\r\n\r\nEach of the creeks examined had a unique pattern of gaining and losing reaches, owing to the hydraulic conductivity of the streambed material and the relative altitude of the surrounding water table. Although the magnitudes of gains and losses varied seasonally, the spatial distribution did not vary greatly, suggesting that patterns of gains and losses in surface-water systems depend greatly on the geology underlying the streambed.","language":"ENGLISH","doi":"10.3133/sir20045058","usgsCitation":"Simonds, F.W., Longpre, C.I., and Justin, G.B., 2004, Ground-Water System in the Chimacum Creek Basin and Surface Water/Ground Water Interaction in Chimacum and Tarboo Creeks and the Big and Little Quilcene Rivers, Eastern Jefferson County, Washington: U.S. Geological Survey Scientific Investigations Report 2004-5058, 60 p.; 1 plate, https://doi.org/10.3133/sir20045058.","productDescription":"60 p.; 1 plate","costCenters":[],"links":[{"id":174434,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4748,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5058/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db6985bb","contributors":{"authors":[{"text":"Simonds, F. William","contributorId":61868,"corporation":false,"usgs":true,"family":"Simonds","given":"F.","email":"","middleInitial":"William","affiliations":[],"preferred":false,"id":248639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Longpre, Claire I.","contributorId":85253,"corporation":false,"usgs":true,"family":"Longpre","given":"Claire","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":248640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Justin, Greg B.","contributorId":18049,"corporation":false,"usgs":true,"family":"Justin","given":"Greg","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":248638,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":54268,"text":"sir20045081 - 2004 - Regional water table (2002) and water-level changes in the Mojave River and Morongo ground-water basins, southwestern Mojave Desert, California","interactions":[],"lastModifiedDate":"2025-05-14T15:11:22.240797","indexId":"sir20045081","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5081","displayTitle":"Regional Water Table (2002) and Water-Level Changes in the Mojave River and Morongo Ground-Water Basins, Southwestern Mojave Desert, California","title":"Regional water table (2002) and water-level changes in the Mojave River and Morongo ground-water basins, southwestern Mojave Desert, California","docAbstract":"The Mojave River and Morongo ground-water basins are in the southwestern part of the Mojave Desert in southern California. Ground water from these basins supplies a major part of the water requirements for the region. The continuous population growth in this area has resulted in ever-increasing demands on local ground-water resources. The collection and interpretation of ground-water data helps local water districts, military bases, and private citizens gain a better understanding of the ground-water flow systems, and consequently, water availability. \r\n\r\n    During 2002, the U.S. Geological Survey and other agencies made approximately 2,500 water-level measurements in the Mojave River and Morongo ground-water basins. These data document recent conditions and, when compared with previous data, changes in ground-water levels. A water-level contour map was drawn using data from about 600 wells, providing coverage for most of the basins. Twenty-eight hydrographs show long-term (up to 70 years) water-level conditions throughout the basins, and 9 short-term (1997 to 2002) hydrographs show the effects of recharge and discharge along the Mojave River. In addition, a water-level-change map was compiled to compare 2000 and 2002 water levels throughout the basins.\r\n\r\n    In the Mojave River ground-water basin, about 66 percent of the wells had water-level declines of 0.5 ft or more since 2000 and about 27 percent of the wells had water-level declines greater than 5 ft. The only area that had water-level increases greater than 5 ft that were not attributed to fluctuations in nearby pumpage was in the Harper Lake (dry) area where there has been a significant reduction in pumpage during the last decade. In the Morongo ground-water basin, about 36 percent of the wells had water-level declines of 0.5 ft or more and about 10 percent of the wells had water-level declines greater than 5 ft. Water-level increases greater than 5 ft were measured only in the Warren subbasin, where artificial-recharge operations have caused water levels to rise almost 60 ft since 2000.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20045081","usgsCitation":"Smith, G.A., Stamos, C., and Predmore, S.K., 2004, Regional water table (2002) and water-level changes in the Mojave River and Morongo ground-water basins, southwestern Mojave Desert, California: U.S. Geological Survey Scientific Investigations Report 2004-5081, 16 p., https://doi.org/10.3133/sir20045081.","productDescription":"16 p.","costCenters":[],"links":[{"id":178035,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5380,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5081/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a60e4b07f02db6350ba","contributors":{"authors":[{"text":"Smith, Gregory A. 0000-0001-8170-9924 gasmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8170-9924","contributorId":1520,"corporation":false,"usgs":true,"family":"Smith","given":"Gregory","email":"gasmith@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":249705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stamos, Christina L. 0000-0002-1007-9352","orcid":"https://orcid.org/0000-0002-1007-9352","contributorId":19593,"corporation":false,"usgs":true,"family":"Stamos","given":"Christina L.","affiliations":[],"preferred":false,"id":249706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Predmore, Steven K. spredmor@usgs.gov","contributorId":1512,"corporation":false,"usgs":true,"family":"Predmore","given":"Steven","email":"spredmor@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":249704,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":54270,"text":"sir20045001 - 2004 - Modeling Streamflow and Water Temperature in the North Santiam and Santiam Rivers, Oregon, 2001-02","interactions":[],"lastModifiedDate":"2017-02-07T09:20:08","indexId":"sir20045001","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5001","title":"Modeling Streamflow and Water Temperature in the North Santiam and Santiam Rivers, Oregon, 2001-02","docAbstract":"To support the development of a total maximum daily load (TMDL) for water temperature in the Willamette Basin, the laterally averaged, two-dimensional model CE-QUAL-W2 was used to construct a water temperature and streamflow model of the Santiam and North Santiam Rivers. The rivers were simulated from downstream of Detroit and Big Cliff dams to the confluence with the Willamette River. Inputs to the model included bathymetric data, flow and temperature from dam releases, tributary flow and temperature, and meteorologic data. The model was calibrated for the period July 1 through November 21, 2001, and confirmed with data from April 1 through October 31, 2002. Flow calibration made use of data from two streamflow gages and travel-time and river-width data. Temperature calibration used data from 16 temperature monitoring locations in 2001 and 5 locations in 2002. A sensitivity analysis was completed by independently varying input parameters, including point-source flow, air temperature, flow and water temperature from dam releases, and riparian shading. Scenario analyses considered hypothetical river conditions without anthropogenic heat inputs, with restored riparian vegetation, with minimum streamflow from the dams, and with a more-natural seasonal water temperature regime from dam releases.","language":"ENGLISH","doi":"10.3133/sir20045001","usgsCitation":"Sullivan, A.B., and Roundsk, S.A., 2004, Modeling Streamflow and Water Temperature in the North Santiam and Santiam Rivers, Oregon, 2001-02: U.S. Geological Survey Scientific Investigations Report 2004-5001, 44 p., https://doi.org/10.3133/sir20045001.","productDescription":"44 p.","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":5382,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20045001","linkFileType":{"id":5,"text":"html"}},{"id":178104,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611b1f","contributors":{"authors":[{"text":"Sullivan, Annett B. 0000-0001-7783-3906 annett@usgs.gov","orcid":"https://orcid.org/0000-0001-7783-3906","contributorId":56317,"corporation":false,"usgs":true,"family":"Sullivan","given":"Annett","email":"annett@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":249709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roundsk, Stewart A.","contributorId":55272,"corporation":false,"usgs":true,"family":"Roundsk","given":"Stewart","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":249708,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":53854,"text":"sir20045036 - 2004 - Chemical Data for Detailed Studies of Irrigation Drainage in the Salton Sea Area, California, 1995?2001","interactions":[],"lastModifiedDate":"2012-02-02T00:11:43","indexId":"sir20045036","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5036","title":"Chemical Data for Detailed Studies of Irrigation Drainage in the Salton Sea Area, California, 1995?2001","docAbstract":"The primary purpose of this report is to present all chemical data from the Salton Sea area collected by the U.S. Geological Survey between 1995 and 2001. The data were collected primarily for the Department of the Interior's National Irrigation Water Quality Program (NIWQP). The report also contains a brief summary and citation to investigations done for the NIWQP between 1992 and 1995. The NIWQP began studies in the Salton Sea area in 1986 to evaluate effects on the environment from potential toxins, especially selenium, in irrigation-induced drainage. This data report is a companion to several reports published from the earlier studies and to interpretive publications that make use of historical and recent data from this area.\r\n\r\n    Data reported herein are from five collection studies. Water, bottom material, and suspended sediment collected in 1995-96 from the New River, the lower Colorado River, and the All-American Canal were analyzed for elements, semi-volatile (extractable) organic compounds, and organochlorine compounds. Sufficient suspended sediment for chemical analyses was obtained by tangential-flow filtration.\r\n    A grab sample of surficial bottom sediment collected from near the deepest part of the Salton Sea in 1996 was analyzed for 44 elements and organic and inorganic carbon. High selenium concentration confirmed the effective transfer (sequestration) of selenium into the bottom sediment. Similar grab samples were collected 2 years later (1998) from 11 locations in the Salton Sea and analyzed for elements, as before, and also for nutrients, organochlorine compounds, and polycyclic aromatic hydrocarbons. Nutrients were measured in bottom water, and water-column profiles were obtained for pH, conductance, temperature, and dissolved oxygen. Element and nutrient concentrations were obtained in 1999 from cores at 2 of the above 11 sites, in the north subbasin of the Salton Sea. The most-recent study reported herein was done in 2001 and contains element data on suspended material isolated by continuous-flow centrifugation on samples collected in transects extending out from the Whitewater, the Alamo, and the New Rivers into the Salton Sea. \r\n\r\n    Chemical data on suspended sediment and bottom material from tributory rivers and the Salton Sea itself show that many insoluble constituents, including selenium and DDE, are concentrated in the fine-grained, organic- and carbonate-rich bottom sediment from deep areas near the center of the Salton Sea. Data also show that selenium and arsenic are markedly enriched in seston (plankton, partially-degraded algal detritus, and mineral matter that compose suspended particulates in the lake) collected just below the water surface in the Salton Sea. This result indicates that bio-concentration in primary producers in the water column provides an important pathway whereby high selenium residues accumulate in fish and fish-eating birds at the Salton Sea.","language":"ENGLISH","doi":"10.3133/sir20045036","usgsCitation":"Schroeder, R.A., 2004, Chemical Data for Detailed Studies of Irrigation Drainage in the Salton Sea Area, California, 1995?2001: U.S. Geological Survey Scientific Investigations Report 2004-5036, 54 p., https://doi.org/10.3133/sir20045036.","productDescription":"54 p.","costCenters":[],"links":[{"id":4688,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5036/","linkFileType":{"id":5,"text":"html"}},{"id":177760,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4bdd","contributors":{"authors":[{"text":"Schroeder, Roy A. raschroe@usgs.gov","contributorId":1523,"corporation":false,"usgs":true,"family":"Schroeder","given":"Roy","email":"raschroe@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":248500,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":53380,"text":"sir20045030 - 2004 - Estimating the Magnitude and Frequency of Floods in Small Urban Streams in South Carolina, 2001","interactions":[],"lastModifiedDate":"2017-01-13T10:02:56","indexId":"sir20045030","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2004","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":"2004-5030","title":"Estimating the Magnitude and Frequency of Floods in Small Urban Streams in South Carolina, 2001","docAbstract":"The magnitude and frequency of floods at 20 streamflowgaging stations on small, unregulated urban streams in or near South Carolina were estimated by fitting the measured wateryear peak flows to a log-Pearson Type-III distribution. The period of record (through September 30, 2001) for the measured water-year peak flows ranged from 11 to 25 years with a mean and median length of 16 years. The drainage areas of the streamflow-gaging stations ranged from 0.18 to 41 square miles.\n\nBased on the flood-frequency estimates from the 20 streamflow-gaging stations (13 in South Carolina; 4 in North Carolina; and 3 in Georgia), generalized least-squares regression was used to develop regional regression equations. These equations can be used to estimate the 2-, 5-, 10-, 25-, 50-, 100-, 200-, and 500-year recurrence-interval flows for small urban streams in the Piedmont, upper Coastal Plain, and lower Coastal Plain physiographic provinces of South Carolina. The most significant explanatory variables from this analysis were mainchannel length, percent impervious area, and basin development factor. Mean standard errors of prediction for the regression equations ranged from -25 to 33 percent for the 10-year recurrence-interval flows and from -35 to 54 percent for the 100-year recurrence-interval flows.\n\nThe U.S. Geological Survey has developed a Geographic Information System application called StreamStats that makes the process of computing streamflow statistics at ungaged sites faster and more consistent than manual methods. This application was developed in the Massachusetts District and ongoing work is being done in other districts to develop a similar application using streamflow statistics relative to those respective States. Considering the future possibility of implementing StreamStats in South Carolina, an alternative set of regional regression equations was developed using only main channel length and impervious area. This was done because no digital coverages are currently available for basin development factor and, therefore, it could not be included in the StreamStats application. The average mean standard error of prediction for the alternative equations was 2 to 5 percent larger than the standard errors for the equations that contained basin development factor.\n\nFor the urban streamflow-gaging stations in South Carolina, measured water-year peak flows were compared with those from an earlier urban flood-frequency investigation. The peak flows from the earlier investigation were computed using a rainfall-runoff model. At many of the sites, graphical comparisons indicated that the variance of the measured data was much less than the variance of the simulated data. Several statistical tests were applied to compare the variances and the means of the measured and simulated data for each site. The results indicated that the variances were significantly different for 11 of the 13 South Carolina streamflow-gaging stations. For one streamflow-gaging station, the test for normality, which is one of the assumptions of the data when comparing variances, indicated that neither the measured data nor the simulated data were distributed normally; therefore, the test for differences in the variances was not used for that streamflow-gaging station. Another statistical test was used to test for statistically significant differences in the means of the measured and simulated data. The results indicated that for 5 of the 13 urban streamflowgaging stations in South Carolina there was a statistically significant difference in the means of the two data sets.\n\nFor comparison purposes and to test the hypothesis that there may have been climatic differences between the period in which the measured peak-flow data were measured and the period for which historic rainfall data were used to compute the simulated peak flows, 16 rural streamflow-gaging stations with long-term records were reviewed using similar techniques as those used for the measured an","language":"ENGLISH","doi":"10.3133/sir20045030","usgsCitation":"Feaster, T., and Guimaraes, W.B., 2004, Estimating the Magnitude and Frequency of Floods in Small Urban Streams in South Carolina, 2001: U.S. Geological Survey Scientific Investigations Report 2004-5030, 68 p., https://doi.org/10.3133/sir20045030.","productDescription":"68 p.","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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