This report by the U.S. Geological Survey, in cooperation with the San Antonio Water System, describes the results of a statistical analysis of major ion and trace element geochemistry of water at seven wells transecting the freshwater/saline-water interface of the Edwards aquifer in San Antonio, Texas, either over time or in response to variations in hydrologic conditions. The data used in this report were collected during 1986–2006. The seven monitoring wells are screened at different depths in the aquifer at three sites that form a generally north-to-south transect. The three wells of the southern site and the deeper of the two middle-site wells are open to the freshwater/saline-water transition zone, which contains saline water. The shallower well of the middle site and the two wells of the northern site are open to the freshwater zone.
\nMean specific conductance (SC) values were greater at transition-zone wells than at freshwater-zone wells, but SC did not vary systematically with depth. Concentrations of all major ions except bicarbonate were greater at transition-zone wells than at freshwater-zone wells, but concentrations tended to be more variable at freshwater-zone wells. Mean molar ratios of magnesium:calcium, sulfate:chloride, and sodium:chloride were similar at transition-zone wells and freshwater-zone wells. Concentrations of trace elements for many water samples at the seven transect wells were below the laboratory analytical reporting level. Detections of trace elements were more frequent at transition-zone wells, and mean concentrations of cadmium, chromium, copper, lead, and silver were elevated at transition-zone wells relative to freshwater-zone wells.
\nAll strong correlations between SC and major ions were positive, and in general there were more and stronger correlations between SC and major ions in the water from the freshwater-zone wells than from the transition-zone wells. Except for the shallowest transition-zone well, the transition-zone wells had relatively few strong correlations overall. The lack of a strong correlation indicates that much of the variability in the major ion concentrations at these wells might be a result of analytical variability caused by the multiple laboratory analytical methods used. In most cases, strong correlations between concentrations of trace elements were positive, and transition-zone wells and freshwater-zone wells had water with a similar number of significant correlations.
\nPrincipal components analysis indicates dilution of ground water by low-ionic-strength meteoric water at the three freshwater-zone wells and at the shallowest transition-zone well. At the two deeper transition-zone wells at the southern site, principal components analysis indicates that there is no systematic variation in major ion concentrations. At three transition-zone wells, there was a general trend toward less salinity over the 21-year period of sampling. Trends in SC at the freshwater-zone wells were less consistent. There is no systematic change in the direction of trend in SC by water type (saline or fresh), between sites, or with depth. In general, trends in major ion concentrations corresponded to those in SC. For each trace element over the 21-year sampling period, there was either no trend or a downward trend.
\nRelations between SC, major ions, and major ion molar ratios and hydrologic indicators (concurrent or prior time-averaged measures of water level and effective rainfall) were investigated. Correlations between geochemical variables and measures of water level in the freshwater-zone wells were much more frequent than correlations between geochemical variables and measures of water level in the transition-zone wells. There were correlations between SC and all measures of water level at the two freshwater-zone wells at the northern site, but there were no correlations between SC and any measures of water level at any transition-zone wells. SC was correlated with effective rainfall at all freshwater-zone wells and at one transition-zone well.
\nThe statistical analyses taken together indicate that the geochemistry at the freshwater-zone wells is more variable than that at the transition-zone wells. The geochemical variability at the freshwater-zone wells might result from dilution of ground water by meteoric water. This is indicated by relatively constant major ion molar ratios; a preponderance of positive correlations between SC, major ions, and trace elements; and a principal components analysis in which the major ions are strongly loaded on the first principal component. Much of the variability at three of the four transition-zone wells might result from the use of different laboratory analytical methods or reporting procedures during the period of sampling. This is reflected by a lack of correlation between SC and major ion concentrations at the transition-zone wells and by a principal components analysis in which the variability is fairly evenly distributed across several principal components. The statistical analyses further indicate that, although the transition-zone wells are less well connected to surficial hydrologic conditions than the freshwater-zone wells, there is some connection but the response time is longer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085224","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Mahler, B., 2008, Statistical analysis of major ion and trace element geochemistry of water, 1986-2006, at seven wells transecting the freshwater/saline-water interface of the Edwards aquifer, San Antonio, Texas: U.S. Geological Survey Scientific Investigations Report 2008-5224, vi, 46 p., https://doi.org/10.3133/sir20085224.","productDescription":"vi, 46 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1986-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":420919,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86358.htm","linkFileType":{"id":5,"text":"html"}},{"id":327274,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2008/5224/pdf/sir2008-5224.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":12346,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5224/","linkFileType":{"id":5,"text":"html"}},{"id":121083,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5224.jpg"}],"country":"United States","state":"Texas","city":"San Antonio","otherGeospatial":"Edwards aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.5,\n 29.5\n ],\n [\n -98.5,\n 29.4167\n ],\n [\n -98.4,\n 29.4167\n ],\n [\n -98.4,\n 29.5\n ],\n [\n -98.5,\n 29.5\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cae4b07f02db542bc1","contributors":{"authors":[{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":301611,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97293,"text":"ds394 - 2008 - Water-quality, stream-habitat, and biological data for Highland and Marchand Bayous, Galveston County, Texas, 2006-07","interactions":[],"lastModifiedDate":"2016-08-22T13:31:01","indexId":"ds394","displayToPublicDate":"2009-02-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"394","title":"Water-quality, stream-habitat, and biological data for Highland and Marchand Bayous, Galveston County, Texas, 2006-07","docAbstract":"The U.S. Geological Survey, in cooperation with the Houston-Galveston Area Council and the Texas Commission on Environmental Quality, collected water-quality, stream-habitat, and biological data from five sites on Highland and Marchand Bayous in Galveston County, Texas, during 2006–07. Water-quality data-collection surveys consisted of synoptic 24-hour continuous measurements of water temperature, pH, specific conductance, and dissolved oxygen and periodically collected samples analyzed for several properties and constituents of interest. Bacteria samples were collected monthly at 10 sites on Highland and Marchand Bayous during the study. Stream-habitat data were collected at five sites three times during the study, July–August 2006, March 2007, and July–August 2007. At each site, a representative stream reach was selected. Within this reach, five evenly spaced stream transects were determined. At each transect, stream (wetted channel width, water depth, bottom material, instream cover) and riparian (bank slope and erosion potential, width of natural vegetation, type of vegetation, percentage tree canopy) attributes were measured.
\nBenthic macroinvertebrate and fish data were collected from the same five sites identified for habitat evaluation. Three assessments were done to account for seasonal differences in biotic distribution. Stream-habitat and aquatic biota (benthic macroinvertebrates and fish) were assessed at each site three times during the study to evaluate aquatic life use. A total of 5,126 macroinvertebrate individuals were identified at all sites. During the study, 34 species of fish representing 28 families were collected from all the sites.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds394","collaboration":"Prepared in cooperation with the Houston-Galveston Area Council and Texas Commission on Environmental Quality","usgsCitation":"Brown, D.W., Mabe, J.A., and Turco, M.J., 2008, Water-quality, stream-habitat, and biological data for Highland and Marchand Bayous, Galveston County, Texas, 2006-07: U.S. Geological Survey Data Series 394, iv, 62 p., https://doi.org/10.3133/ds394.","productDescription":"iv, 62 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2006-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":195180,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds394.jpg"},{"id":12343,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/394/","linkFileType":{"id":5,"text":"html"}},{"id":327277,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/394/pdf/ds394.pdf"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.16666666666667,29.25 ], [ -95.16666666666667,29.5 ], [ -94.83333333333333,29.5 ], [ -94.83333333333333,29.25 ], [ -95.16666666666667,29.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cfe4b07f02db545ca2","contributors":{"authors":[{"text":"Brown, Dexter W. dwbrown@usgs.gov","contributorId":3062,"corporation":false,"usgs":true,"family":"Brown","given":"Dexter","email":"dwbrown@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":301607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mabe, Jeffrey A.","contributorId":65565,"corporation":false,"usgs":true,"family":"Mabe","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turco, Michael J. mjturco@usgs.gov","contributorId":1011,"corporation":false,"usgs":true,"family":"Turco","given":"Michael","email":"mjturco@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":301606,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97287,"text":"sir20085100 - 2008 - Simulation of the Quantity, Variability, and Timing of Streamflow in the Dennys River Basin, Maine, by Use of a Precipitation-Runoff Watershed Model","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"sir20085100","displayToPublicDate":"2009-02-13T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5100","title":"Simulation of the Quantity, Variability, and Timing of Streamflow in the Dennys River Basin, Maine, by Use of a Precipitation-Runoff Watershed Model","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Maine Department of Marine Resources Bureau of Sea Run Fisheries and Habitat, began a study in 2004 to characterize the quantity, variability, and timing of streamflow in the Dennys River. The study included a synoptic summary of historical streamflow data at a long-term streamflow gage, collecting data from an additional four short-term streamflow gages, and the development and evaluation of a distributed-parameter watershed model for the Dennys River Basin. The watershed model used in this investigation was the USGS Precipitation-Runoff Modeling System (PRMS). \r\n\r\nThe Geographic Information System (GIS) Weasel was used to delineate the Dennys River Basin and subbasins and derive parameters for their physical geographic features. Calibration of the models used in this investigation involved a four-step procedure in which model output was evaluated against four calibration data sets using computed objective functions for solar radiation, potential evapotranspiration, annual and seasonal water budgets, and daily streamflows. The calibration procedure involved thousands of model runs and was carried out using the USGS software application Luca (Let us calibrate). Luca uses the Shuffled Complex Evolution (SCE) global search algorithm to calibrate the model parameters. The SCE method reliably produces satisfactory solutions for large, complex optimization problems. The primary calibration effort went into the Dennys main stem watershed model. Calibrated parameter values obtained for the Dennys main stem model were transferred to the Cathance Stream model, and a similar four-step SCE calibration procedure was performed; this effort was undertaken to determine the potential to transfer modeling information to a nearby basin in the same region. The calibrated Dennys main stem watershed model performed with Nash-Sutcliffe efficiency (NSE) statistic values for the calibration period and evaluation period of 0.79 and 0.76, respectively. The Cathance Stream model had an NSE value of 0.68. \r\n\r\nThe Dennys River Basin models make use of limited streamflow-gaging station data and provide information to characterize subbasin hydrology. The calibrated PRMS watershed models of the Dennys River Basin provide simulated daily streamflow time series from October 1, 1985, through September 30, 2006, for nearly any location within the basin. These models enable natural-resources managers to characterize the timing and quantity of water moving through the basin to support many endeavors including geochemical calculations, water-use assessment, Atlantic salmon population dynamics and migration modeling, habitat modeling and assessment, and other resource-management scenario evaluations. Characterizing streamflow contributions from subbasins in the basin and the relative amounts of surface- and ground-water contributions to streamflow throughout the basin will lead to a better understanding of water quantity and quality in the basin. Improved water-resources information will support Atlantic salmon protection efforts.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085100","collaboration":"Prepared in cooperation with the Maine Department of Marine Resources Bureau of Sea Run Fisheries and Habitat","usgsCitation":"Dudley, R.W., 2008, Simulation of the Quantity, Variability, and Timing of Streamflow in the Dennys River Basin, Maine, by Use of a Precipitation-Runoff Watershed Model: U.S. Geological Survey Scientific Investigations Report 2008-5100, vi, 37 p., https://doi.org/10.3133/sir20085100.","productDescription":"vi, 37 p.","onlineOnly":"Y","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":195300,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12338,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5100/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -69,44 ], [ -69,46 ], [ -66.75,46 ], [ -66.75,44 ], [ -69,44 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f7e4b07f02db5f2184","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301588,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97283,"text":"sir20085203 - 2008 - Occurrence and distribution of algal biomass and Its relation to nutrients and selected basin characteristics in Indiana streams, 2001-2005","interactions":[],"lastModifiedDate":"2016-06-21T09:30:25","indexId":"sir20085203","displayToPublicDate":"2009-02-13T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5203","title":"Occurrence and distribution of algal biomass and Its relation to nutrients and selected basin characteristics in Indiana streams, 2001-2005","docAbstract":"Algal biomass and nutrient data were gathered at 322 randomly selected sites on 261 streams in the West Fork White River, Whitewater River, East Fork White River, Upper Wabash River, Kankakee River, Lower Wabash River, Tributaries to the Great Lakes, and Tributaries to the Ohio River Basins in Indiana from May through October for years 2001 through 2005. Basin characteristics (land use and drainage area), substrate, turbidity, and nutrient concentrations were determined for the basin and sampling sites. The relations of the seasonal algal biomass parameters periphyton chlorophyll a (CHLa), ash-free dry mass (AFDM), seston CHLa, and particulate organic carbon (POC) to concentrations of the seasonal nutrients nitrate, total Kjeldahl nitrogen (TKN), total nitrogen (TN), and total phosphorus (TP) were determined using Spearman’s rho. The effects of streamflow were determined using data collected at U.S. Geological Survey (USGS) streamflow-gaging stations spatially located throughout the study basins.
\nThroughout the 5-year study, the magnitude and frequency of stream discharge varied monthly and annually and greatly influenced algal biomass concentrations through scour and algal drift. Algal biomass median concentrations in Indiana streams consisted of periphyton CHLa, 41.2 milligrams per square meter (mg/m2 ); AFDM, 52.1 grams per square meter (g/m2); seston CHLa, 2.44 micrograms per liter (µg/L); and POC, 0.75 milligrams per liter (mg/L). Approximately 32 percent of the periphyton CHLa and 6 percent of the seston CHLa samples would be considered eutrophic (nutrient enriched).
\nTo ascertain seasonal variability, samples were collected in the spring (May), summer (June through August), and fall (September through October). The highest median concentration of periphyton CHLa was in the spring, 63.2 mg/m2 , while the highest median concentrations of AFDM, seston CHLa, and POC were in the summer 55.4 g/m2 , 2.96 µg/L, and 0.81 mg/L respectively. There were no significant differences among seasons for periphyton CHLa and AFDM; there were significant differences among seasons for seston CHLa and POC.
\nThere were no significant relations with nutrients and periphyton or seston CHLa parameters. The only significant positive relations were observed between summer POC and summer TP as well as summer POC and summer TKN. Positive relations also related spring POC and spring TP. These significant relations with TP are most likely related to phosphorus associated within seston algal cells and attached to sediment.
\nDrainage area and land use were analyzed to understand the effect of site location on algal growth. Study basins varied in size (headwater streams, 0–51 km2 ; wadable streams, 52–2,590 km2 ; and boatable streams, 2,591–38,900 km2 ) and were dominated by agricultural land use. Basin characteristics (land use, drainage area) as well as substrate type, turbidity, and nutrients, affected the concentration of algal biomass parameters. Of the eight basins in which samples were collected during the 5-year study, the Whitewater River Basin (2002) had the highest median concentration of periphyton CHLa (63.1 mg/m2 ), the Tributaries to the Great Lakes (2005) exhibited the highest median concentration for AFDM (160 g/m2 ), the East Fork White River Basin (2002) had nearly twice the median concentration (4.01 µg/L) of seston CHLa as the other basins, and the West Fork White River Basin (2001) exhibited the highest median concentration of POC (1.10 mg/L). Of the eight major basins sampled, 15–45 percent of the periphyton CHLa and up to 20 percent of the seston CHLa samples were eutrophic. Samples collected at headwater and wadable streams were the most eutrophic for periphyton CHLa (31–36 percent) and 28 percent of samples collected at boatable streams were eutrophic for seston CHLa.
\nAs basin size increased, seston CHLa and POC concentrations increased while periphyton CHLa and AFDM concentrations decreased. The median turbidity values ranged from 6.95 NTU for headwater streams to 8.27 NTU for wadable streams, and 17.0 NTU for boatable streams. In addition, the types and availability of periphytic substrates (epilithic, epipsammic, or epidendric) were an important factor when comparing periphyton CHLa and AFDM concentrations in the study due to the periphytic substrates individual susceptibility to bed movement and scouring. Periphyton CHLa median concentrations ranged from 53.8 mg/m2 for epilithic substrates, to 41.8 mg/m2 for epipsammic substrates, and 17.2 mg/m2 for epidendric substrates. Higher AFDM concentrations were collected from epipsammic substrates during years of low stream discharge velocity, which enhanced the settling of organic matter on epipsammic substrates. AFDM median concentrations ranged from 141 g/m2 for epipsammic to 28.8 g/m2 for epilithic and 22.9 g/m2 for epidendric substrates.
\nThe seasonal values for nutrients (nitrate, TKN, TN, and TP) and algal biomass (periphyton CHLa, AFDM, seston CHLa, and POC) were compared to published U. S. Environmental Protection Agency (USEPA) values for their respective ecoregions. Algal biomass values either were greater than the 25th percentile published USEPA values or extended the range of data in Aggregate Nutrient Ecoregions VI, VII, IX and USEPA Level III Ecoregions 54, 55, 56, 71, and 72. If the values for the 25th percentile proposed by the USEPA were adopted as nutrient water-quality criteria, then about 71 percent of the nutrient samples and 57 percent of the CHLa samples within the eight study basins would be considered nutrient enriched.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085203","isbn":"9781411322943","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management, Division of Water, Assessment Branch","usgsCitation":"Lowe, B.S., Leer, D.R., Frey, J.W., and Caskey, B.J., 2008, Occurrence and distribution of algal biomass and Its relation to nutrients and selected basin characteristics in Indiana streams, 2001-2005: U.S. Geological Survey Scientific Investigations Report 2008-5203, Report: x, 146 p.; Appendixes, https://doi.org/10.3133/sir20085203.","productDescription":"Report: x, 146 p.; Appendixes","startPage":"1","endPage":"146","numberOfPages":"160","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2001-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":322009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12334,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5203/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-66.28243,18.51476],[-65.7713,18.42668],[-65.591,18.22803],[-65.84716,17.97591],[-66.59993,17.98182],[-67.18416,17.94655],[-67.24243,18.37446],[-67.10068,18.5206],[-66.28243,18.51476]]],[[[-155.54211,19.08348],[-155.68817,18.91619],[-155.93665,19.05939],[-155.90806,19.33888],[-156.07347,19.70294],[-156.02368,19.81422],[-155.85008,19.97729],[-155.91907,20.17395],[-155.86108,20.26721],[-155.78505,20.2487],[-155.40214,20.07975],[-155.22452,19.99302],[-155.06226,19.8591],[-154.80741,19.50871],[-154.83147,19.45328],[-155.22217,19.23972],[-155.54211,19.08348]]],[[[-156.07926,20.64397],[-156.41445,20.57241],[-156.58673,20.783],[-156.70167,20.8643],[-156.71055,20.92676],[-156.61258,21.01249],[-156.25711,20.91745],[-155.99566,20.76404],[-156.07926,20.64397]]],[[[-156.75824,21.17684],[-156.78933,21.06873],[-157.32521,21.09777],[-157.25027,21.21958],[-156.75824,21.17684]]],[[[-157.65283,21.32217],[-157.70703,21.26442],[-157.7786,21.27729],[-158.12667,21.31244],[-158.2538,21.53919],[-158.29265,21.57912],[-158.0252,21.71696],[-157.94161,21.65272],[-157.65283,21.32217]]],[[[-159.34512,21.982],[-159.46372,21.88299],[-159.80051,22.06533],[-159.74877,22.1382],[-159.5962,22.23618],[-159.36569,22.21494],[-159.34512,21.982]]],[[[-94.81758,49.38905],[-94.64,48.84],[-94.32914,48.67074],[-93.63087,48.60926],[-92.61,48.45],[-91.64,48.14],[-90.83,48.27],[-89.6,48.01],[-89.27292,48.01981],[-88.37811,48.30292],[-87.43979,47.94],[-86.46199,47.55334],[-85.65236,47.22022],[-84.87608,46.90008],[-84.77924,46.6371],[-84.54375,46.53868],[-84.6049,46.4396],[-84.3367,46.40877],[-84.14212,46.51223],[-84.09185,46.27542],[-83.89077,46.11693],[-83.61613,46.11693],[-83.46955,45.99469],[-83.59285,45.81689],[-82.55092,45.34752],[-82.33776,44.44],[-82.13764,43.57109],[-82.43,42.98],[-82.9,42.43],[-83.12,42.08],[-83.142,41.97568],[-83.02981,41.8328],[-82.69009,41.67511],[-82.43928,41.67511],[-81.27775,42.20903],[-80.24745,42.3662],[-78.93936,42.86361],[-78.92,42.965],[-79.01,43.27],[-79.17167,43.46634],[-78.72028,43.62509],[-77.73789,43.62906],[-76.82003,43.62878],[-76.5,44.01846],[-76.375,44.09631],[-75.31821,44.81645],[-74.867,45.00048],[-73.34783,45.00738],[-71.50506,45.0082],[-71.405,45.255],[-71.08482,45.30524],[-70.66,45.46],[-70.305,45.915],[-69.99997,46.69307],[-69.23722,47.44778],[-68.905,47.185],[-68.23444,47.35486],[-67.79046,47.06636],[-67.79134,45.70281],[-67.13741,45.13753],[-66.96466,44.8097],[-68.03252,44.3252],[-69.06,43.98],[-70.11617,43.68405],[-70.64548,43.09024],[-70.81489,42.8653],[-70.825,42.335],[-70.495,41.805],[-70.08,41.78],[-70.185,42.145],[-69.88497,41.92283],[-69.96503,41.63717],[-70.64,41.475],[-71.12039,41.49445],[-71.86,41.32],[-72.295,41.27],[-72.87643,41.22065],[-73.71,40.9311],[-72.24126,41.11948],[-71.945,40.93],[-73.345,40.63],[-73.982,40.628],[-73.95232,40.75075],[-74.25671,40.47351],[-73.96244,40.42763],[-74.17838,39.70926],[-74.90604,38.93954],[-74.98041,39.1964],[-75.20002,39.24845],[-75.52805,39.4985],[-75.32,38.96],[-75.07183,38.78203],[-75.05673,38.40412],[-75.37747,38.01551],[-75.94023,37.21689],[-76.03127,37.2566],[-75.72205,37.93705],[-76.23287,38.31921],[-76.35,39.15],[-76.54272,38.71762],[-76.32933,38.08326],[-76.99,38.23999],[-76.30162,37.91794],[-76.25874,36.9664],[-75.9718,36.89726],[-75.86804,36.55125],[-75.72749,35.55074],[-76.36318,34.80854],[-77.39763,34.51201],[-78.05496,33.92547],[-78.55435,33.86133],[-79.06067,33.49395],[-79.20357,33.15839],[-80.30132,32.50935],[-80.86498,32.0333],[-81.33629,31.44049],[-81.49042,30.72999],[-81.31371,30.03552],[-80.98,29.18],[-80.53558,28.47213],[-80.53,28.04],[-80.05654,26.88],[-80.08801,26.20576],[-80.13156,25.81677],[-80.38103,25.20616],[-80.68,25.08],[-81.17213,25.20126],[-81.33,25.64],[-81.71,25.87],[-82.24,26.73],[-82.70515,27.49504],[-82.85526,27.88624],[-82.65,28.55],[-82.93,29.1],[-83.70959,29.93656],[-84.1,30.09],[-85.10882,29.63615],[-85.28784,29.68612],[-85.7731,30.15261],[-86.4,30.4],[-87.53036,30.27433],[-88.41782,30.3849],[-89.18049,30.31598],[-89.59383,30.15999],[-89.41373,29.89419],[-89.43,29.48864],[-89.21767,29.29108],[-89.40823,29.15961],[-89.77928,29.30714],[-90.15463,29.11743],[-90.88022,29.14854],[-91.62678,29.677],[-92.49906,29.5523],[-93.22637,29.78375],[-93.84842,29.71363],[-94.69,29.48],[-95.60026,28.73863],[-96.59404,28.30748],[-97.14,27.83],[-97.37,27.38],[-97.38,26.69],[-97.33,26.21],[-97.14,25.87],[-97.53,25.84],[-98.24,26.06],[-99.02,26.37],[-99.3,26.84],[-99.52,27.54],[-100.11,28.11],[-100.45584,28.69612],[-100.9576,29.38071],[-101.6624,29.7793],[-102.48,29.76],[-103.11,28.97],[-103.94,29.27],[-104.45697,29.57196],[-104.70575,30.12173],[-105.03737,30.64402],[-105.63159,31.08383],[-106.1429,31.39995],[-106.50759,31.75452],[-108.24,31.75485],[-108.24194,31.34222],[-109.035,31.34194],[-111.02361,31.33472],[-113.30498,32.03914],[-114.815,32.52528],[-114.72139,32.72083],[-115.99135,32.61239],[-117.12776,32.53534],[-117.29594,33.04622],[-117.944,33.62124],[-118.4106,33.74091],[-118.51989,34.02778],[-119.081,34.078],[-119.43884,34.34848],[-120.36778,34.44711],[-120.62286,34.60855],[-120.74433,35.15686],[-121.71457,36.16153],[-122.54747,37.55176],[-122.51201,37.78339],[-122.95319,38.11371],[-123.7272,38.95166],[-123.86517,39.76699],[-124.39807,40.3132],[-124.17886,41.14202],[-124.2137,41.99964],[-124.53284,42.76599],[-124.14214,43.70838],[-124.02053,44.6159],[-123.89893,45.52341],[-124.07963,46.86475],[-124.39567,47.72017],[-124.68721,48.18443],[-124.5661,48.37971],[-123.12,48.04],[-122.58736,47.096],[-122.34,47.36],[-122.5,48.18],[-122.84,49],[-120,49],[-117.03121,49],[-116.04818,49],[-113,49],[-110.05,49],[-107.05,49],[-104.04826,48.99986],[-100.65,49],[-97.22872,49.0007],[-95.15907,49],[-95.15609,49.38425],[-94.81758,49.38905]]],[[[-153.00631,57.11584],[-154.00509,56.73468],[-154.5164,56.99275],[-154.67099,57.4612],[-153.76278,57.81657],[-153.22873,57.96897],[-152.56479,57.90143],[-152.14115,57.59106],[-153.00631,57.11584]]],[[[-165.57916,59.90999],[-166.19277,59.75444],[-166.84834,59.94141],[-167.45528,60.21307],[-166.46779,60.38417],[-165.67443,60.29361],[-165.57916,59.90999]]],[[[-171.73166,63.78252],[-171.11443,63.59219],[-170.49111,63.69498],[-169.68251,63.43112],[-168.68944,63.29751],[-168.77194,63.1886],[-169.52944,62.97693],[-170.29056,63.19444],[-170.67139,63.37582],[-171.55306,63.31779],[-171.79111,63.40585],[-171.73166,63.78252]]],[[[-155.06779,71.14778],[-154.34417,70.69641],[-153.90001,70.88999],[-152.21001,70.82999],[-152.27,70.60001],[-150.73999,70.43002],[-149.72,70.53001],[-147.61336,70.21403],[-145.68999,70.12001],[-144.92001,69.98999],[-143.58945,70.15251],[-142.07251,69.85194],[-140.98599,69.712],[-140.9925,66.00003],[-140.99777,60.3064],[-140.013,60.27684],[-139.039,60.00001],[-138.34089,59.56211],[-137.4525,58.905],[-136.47972,59.46389],[-135.47583,59.78778],[-134.945,59.27056],[-134.27111,58.86111],[-133.35555,58.41029],[-132.73042,57.69289],[-131.70781,56.55212],[-130.00778,55.91583],[-129.97999,55.285],[-130.53611,54.80275],[-131.08582,55.17891],[-131.96721,55.49778],[-132.25001,56.37],[-133.53918,57.17889],[-134.07806,58.12307],[-135.03821,58.18771],[-136.62806,58.21221],[-137.80001,58.5],[-139.86779,59.53776],[-140.82527,59.72752],[-142.57444,60.08445],[-143.95888,59.99918],[-145.92556,60.45861],[-147.11437,60.88466],[-148.22431,60.67299],[-148.01807,59.97833],[-148.57082,59.91417],[-149.72786,59.70566],[-150.60824,59.36821],[-151.71639,59.15582],[-151.85943,59.74498],[-151.40972,60.7258],[-150.34694,61.03359],[-150.62111,61.28442],[-151.89584,60.7272],[-152.57833,60.06166],[-154.01917,59.35028],[-153.28751,58.86473],[-154.23249,58.14637],[-155.30749,57.72779],[-156.30833,57.42277],[-156.5561,56.97998],[-158.11722,56.46361],[-158.43332,55.99415],[-159.60333,55.56669],[-160.28972,55.64358],[-161.22305,55.36473],[-162.23777,55.02419],[-163.06945,54.68974],[-164.78557,54.40417],[-164.94223,54.57222],[-163.84834,55.03943],[-162.87,55.34804],[-161.80417,55.89499],[-160.5636,56.00805],[-160.07056,56.41806],[-158.68444,57.01668],[-158.4611,57.21692],[-157.72277,57.57],[-157.55027,58.32833],[-157.04167,58.91888],[-158.19473,58.6158],[-158.51722,58.78778],[-159.05861,58.42419],[-159.71167,58.93139],[-159.98129,58.57255],[-160.35527,59.07112],[-161.355,58.67084],[-161.96889,58.67166],[-162.05499,59.26693],[-161.87417,59.63362],[-162.51806,59.98972],[-163.81834,59.79806],[-164.66222,60.26748],[-165.34639,60.5075],[-165.35083,61.0739],[-166.12138,61.50002],[-165.73445,62.075],[-164.91918,62.63308],[-164.56251,63.14638],[-163.75333,63.21945],[-163.06722,63.05946],[-162.26056,63.54194],[-161.53445,63.45582],[-160.77251,63.76611],[-160.95834,64.2228],[-161.51807,64.40279],[-160.77778,64.7886],[-161.39193,64.77724],[-162.45305,64.55944],[-162.75779,64.33861],[-163.54639,64.55916],[-164.96083,64.44695],[-166.42529,64.68667],[-166.845,65.0889],[-168.11056,65.67],[-166.70527,66.08832],[-164.47471,66.57666],[-163.65251,66.57666],[-163.7886,66.07721],[-161.67777,66.11612],[-162.48971,66.73557],[-163.71972,67.11639],[-164.43099,67.61634],[-165.39029,68.04277],[-166.76444,68.35888],[-166.20471,68.88303],[-164.43081,68.91554],[-163.16861,69.37111],[-162.93057,69.85806],[-161.9089,70.33333],[-160.9348,70.44769],[-159.03918,70.89164],[-158.11972,70.82472],[-156.58082,71.35776],[-155.06779,71.14778]]]]},\"properties\":{\"name\":\"United States\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db696385","contributors":{"authors":[{"text":"Lowe, B. Scott","contributorId":52671,"corporation":false,"usgs":true,"family":"Lowe","given":"B.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":301579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leer, Donald R.","contributorId":91185,"corporation":false,"usgs":true,"family":"Leer","given":"Donald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":301580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 jwfrey@usgs.gov","orcid":"https://orcid.org/0000-0002-3453-5009","contributorId":487,"corporation":false,"usgs":true,"family":"Frey","given":"Jeffrey","email":"jwfrey@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caskey, Brian J.","contributorId":104119,"corporation":false,"usgs":true,"family":"Caskey","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":301581,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97279,"text":"sir20085199 - 2008 - Hydrologic Drought of Water Year 2006 Compared with Four Major Drought Periods of the 20th Century in Oklahoma","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"sir20085199","displayToPublicDate":"2009-02-11T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5199","title":"Hydrologic Drought of Water Year 2006 Compared with Four Major Drought Periods of the 20th Century in Oklahoma","docAbstract":"Water Year 2006 (October 1, 2005, to September 30, 2006) was a year of extreme hydrologic drought and the driest year in the recent 2002-2006 drought in Oklahoma. The severity of this recent drought can be evaluated by comparing it with four previous major hydrologic droughts, water years 1929-41, 1952-56, 1961-72, and 1976-81. The U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, completed an investigation to summarize the Water Year 2006 hydrologic drought and compare it to the four previous major hydrologic droughts in the 20th century.\r\n\r\nThe period of water years 1925-2006 was selected as the period of record because before 1925 few continuous record streamflow-gaging sites existed and gaps existed where no streamflow-gaging sites were operated. Statewide annual precipitation in Water Year 2006 was second driest and statewide annual runoff in Water Year 2006 was sixth driest in the 82 years of record.\r\n\r\nAnnual area-averaged precipitation totals by the nine National Weather Service Climate Divisions from Water Year 2006 are compared to those during four previous major hydrologic droughts to show how rainfall deficits in Oklahoma varied by region. Only two of the nine climate divisions, Climate Division 1 Panhandle and Climate Division 4 West Central, had minor rainfall deficits, while the rest of the climate divisions had severe rainfall deficits in Water Year 2006 ranging from only 65 to 73 percent of normal annual precipitation.\r\n\r\nRegional streamflow patterns for Water Year 2006 indicate that Oklahoma was part of the regionwide below-normal streamflow conditions for Arkansas-White-Red River Basin, the sixth driest since 1930. The percentage of long-term stations in Oklahoma (with at least 30 years of record) having below-normal streamflow reached 80 to 85 percent for some days in August and November 2006.\r\n\r\nTwelve long-term streamflow-gaging sites with periods of record ranging from 62 to 78 years were selected to show how streamflow deficits varied by region. The hydrologic drought worsened going from north to south in Oklahoma, ranging from 45 percent in the north, to just 14 percent in east-central Oklahoma, and 20 percent of normal annual streamflow in the southwest.\r\n\r\nThe low streamflows resulted in only 86.3 percent of the statewide conservation storage available at the end of the water year in major reservoirs, and 7 to 47 percent of hydroelectric power generation at sites in Oklahoma in Calendar Year 2005.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085199","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Tortorelli, R.L., 2008, Hydrologic Drought of Water Year 2006 Compared with Four Major Drought Periods of the 20th Century in Oklahoma: U.S. Geological Survey Scientific Investigations Report 2008-5199, vi, 47 p., https://doi.org/10.3133/sir20085199.","productDescription":"vi, 47 p.","temporalStart":"2005-10-01","temporalEnd":"2006-09-30","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":195730,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12330,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5199/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103,33 ], [ -103,38 ], [ -94,38 ], [ -94,33 ], [ -103,33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a25e4b07f02db60edc1","contributors":{"authors":[{"text":"Tortorelli, Robert L.","contributorId":65071,"corporation":false,"usgs":true,"family":"Tortorelli","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":301562,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97276,"text":"fs20083101 - 2008 - Management of Urban Stormwater Runoff in the Chesapeake Bay Watershed","interactions":[],"lastModifiedDate":"2012-02-02T00:14:29","indexId":"fs20083101","displayToPublicDate":"2009-02-11T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-3101","title":"Management of Urban Stormwater Runoff in the Chesapeake Bay Watershed","docAbstract":"Urban and suburban development is associated with elevated nutrients, sediment, and other pollutants in stormwater runoff, impacting the physical and environmental health of area streams and downstream water bodies such as the Chesapeake Bay. Stormwater management facilities, also known as Best Management Practices (BMPs), are increasingly being used in urban areas to replace functions, such as flood protection and water quality improvement, originally performed by wetlands and riparian areas.\r\n\r\nScientists from the U.S. Geological Survey (USGS) have partnered with local, academic, and other Federal agency scientists to better understand the effectiveness of different stormwater management systems with respect to Chesapeake Bay health. Management of stormwater runoff is necessary in urban areas to address flooding and water quality concerns. Improving our understanding of what stormwater management actions may be best suited for different types of developed areas could help protect the environmental health of downstream water bodies that ultimately receive runoff from urban landscapes.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20083101","usgsCitation":"Hogan, D.M., 2008, Management of Urban Stormwater Runoff in the Chesapeake Bay Watershed: U.S. Geological Survey Fact Sheet 2008-3101, 3 p., https://doi.org/10.3133/fs20083101.","productDescription":"3 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":124846,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3101.jpg"},{"id":12327,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3101/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a27a","contributors":{"authors":[{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":2299,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":301558,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97281,"text":"ofr20081356 - 2008 - Factors that Influence the Price of Al, Cd, Co, Cu, Fe, Ni, Pb, Rare Earth Elements, and Zn","interactions":[],"lastModifiedDate":"2012-02-02T00:15:04","indexId":"ofr20081356","displayToPublicDate":"2009-02-11T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1356","title":"Factors that Influence the Price of Al, Cd, Co, Cu, Fe, Ni, Pb, Rare Earth Elements, and Zn","docAbstract":"This report is based on a presentation delivered at The 12th International Battery Materials Recycling Seminar, March 17-20, 2008, Fort Lauderdale, Fla., about the factors that influence prices for aluminum, cadmium, cobalt, copper, iron, lead, nickel, rare earth elements, and zinc. These are a diverse group of metals that are of interest to the battery recycling industry. Because the U.S. Geological Survey (USGS) closely monitors, yet neither buys nor sells, metal commodities, it is an unbiased source of metal price information and analysis.\r\n\r\nThe authors used information about these and other metals collected and published by the USGS (U.S. production, trade, stocks, and prices and world production) and internationally (consumption and stocks by country) from industry organizations, because metal markets are influenced by activities and events over the entire globe. Long-term prices in this report, represented by unit values, were adjusted to 1998 constant dollars to remove the effects of inflation. A previous USGS study in this subject area was 'Economic Drivers of Mineral Supply' by Lorie A. Wagner, Daniel E. Sullivan, and John L. Sznopek (USGS Open File Report 02-335). \r\n\r\nBy seeking a common cause for common behavior of prices among the various metal commodities, the authors found that major factors that influence prices of metal commodities were international events such as wars and recessions, and national events such as the dissolution of the Soviet Union in 1991 and economic growth in China, which started its open door policy in the 1970s but did not have significant market impact until the 1990s. Metal commodity prices also responded to commodity-specific events such as tariff or usage changes or mine strikes. \r\n\r\nIt is shown that the prices of aluminum, cadmium, copper, iron, lead, nickel, and zinc are at historic highs, that world stocks are at (or near) historic lows, and that China's consumption of these metals had increased substantially, making it the world's leading consumer of these metals.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081356","usgsCitation":"Papp, J.F., Bray, E.L., Edelstein, D.L., Fenton, M.D., Guberman, D.E., Hedrick, J.B., Jorgenson, J.D., Kuck, P.H., Shedd, K.B., and Tolcin, A., 2008, Factors that Influence the Price of Al, Cd, Co, Cu, Fe, Ni, Pb, Rare Earth Elements, and Zn: U.S. Geological Survey Open-File Report 2008-1356, iv, 61 p., https://doi.org/10.3133/ofr20081356.","productDescription":"iv, 61 p.","temporalStart":"2008-03-17","temporalEnd":"2008-03-20","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":198097,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12332,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1356/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db6864e9","contributors":{"authors":[{"text":"Papp, John F. jpapp@usgs.gov","contributorId":2895,"corporation":false,"usgs":true,"family":"Papp","given":"John","email":"jpapp@usgs.gov","middleInitial":"F.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":301569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bray, E. Lee lbray@usgs.gov","contributorId":39903,"corporation":false,"usgs":true,"family":"Bray","given":"E.","email":"lbray@usgs.gov","middleInitial":"Lee","affiliations":[],"preferred":false,"id":301574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edelstein, Daniel L. dedelste@usgs.gov","contributorId":2894,"corporation":false,"usgs":true,"family":"Edelstein","given":"Daniel","email":"dedelste@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":301568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fenton, Michael D. mfenton@usgs.gov","contributorId":2897,"corporation":false,"usgs":true,"family":"Fenton","given":"Michael","email":"mfenton@usgs.gov","middleInitial":"D.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":301571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guberman, David E. dguberman@usgs.gov","contributorId":2660,"corporation":false,"usgs":true,"family":"Guberman","given":"David","email":"dguberman@usgs.gov","middleInitial":"E.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":301566,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hedrick, James B.","contributorId":19993,"corporation":false,"usgs":true,"family":"Hedrick","given":"James","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":301573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jorgenson, John D.","contributorId":74087,"corporation":false,"usgs":true,"family":"Jorgenson","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":301575,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kuck, Peter H. pkuck@usgs.gov","contributorId":5173,"corporation":false,"usgs":true,"family":"Kuck","given":"Peter","email":"pkuck@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":301572,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shedd, Kim B. kshedd@usgs.gov","contributorId":2896,"corporation":false,"usgs":true,"family":"Shedd","given":"Kim","email":"kshedd@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":301570,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tolcin, Amy C. atolcin@usgs.gov","contributorId":2893,"corporation":false,"usgs":true,"family":"Tolcin","given":"Amy C.","email":"atolcin@usgs.gov","affiliations":[],"preferred":true,"id":301567,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":97278,"text":"sir20085174 - 2008 - Nutrient concentrations, loads, and yields in the Eucha-Spavinaw Basin, Arkansas and Oklahoma, 2002-2006","interactions":[],"lastModifiedDate":"2024-06-28T21:18:52.546579","indexId":"sir20085174","displayToPublicDate":"2009-02-11T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5174","title":"Nutrient concentrations, loads, and yields in the Eucha-Spavinaw Basin, Arkansas and Oklahoma, 2002-2006","docAbstract":"The City of Tulsa, Oklahoma, uses Lake Eucha and Spavinaw Lake in the Eucha-Spavinaw basin in northwestern Arkansas and northeastern Oklahoma for public water supply. Taste and odor problems in the water attributable to blue-green algae have increased in frequency. Changes in the algae community in the lakes may be attributable to increases in nutrient levels in the lakes, and in the waters feeding the lakes. The U.S. Geological Survey, in cooperation with the City of Tulsa, investigated and summarized nitrogen and phosphorus concentrations and provided estimates of nitrogen and phosphorus loads, yields, and flow-weighted concentrations in the Eucha-Spavinaw basin for three 3-year periods—2002–2004, 2003–2005, and 2004–2006, to update a previous report that used data from water-quality samples for a 3-year period from January 2002 through December 2004. This report provides information needed to advance knowledge of the regional hydrologic system and understanding of hydrologic processes, and provides hydrologic data and results useful to multiple agencies for interstate agreements.
Nitrogen and phosphorus concentrations were significantly greater in runoff samples than in base-flow samples for all three periods at Spavinaw Creek near Maysville, Arkansas; Spavinaw Creek near Colcord, Oklahoma, and Beaty Creek near Jay, Oklahoma. Runoff concentrations were not significantly greater than base-flow concentrations at Spavinaw Creek near Cherokee, Arkansas; and Spavinaw Creek near Sycamore, Oklahoma except for phosphorus during 2003–2005.
Nitrogen concentrations in base-flow samples significantly increased downstream in Spavinaw Creek from the Maysville to Sycamore stations then significantly decreased from the Sycamore to the Colcord stations for all three periods. Nitrogen in base-flow samples from Beaty Creek was significantly less than in samples from Spavinaw Creek. Phosphorus concentrations in base-flow samples significantly increased from the Maysville to Cherokee stations in Spavinaw Creek for all three periods, probably because of a wastewater-treatment plant point source between those stations, and then significantly decreased downstream from the Cherokee to Colcord stations. Phosphorus in base-flow samples from Beaty Creek was significantly less than phosphorus in base-flow samples from Spavinaw Creek downstream from the Maysville station. Nitrogen concentrations in runoff samples were not significantly different among the stations on Spavinaw Creek for most of the three periods, except during 2003–2005 when runoff samples at the Colcord station were less than at the Sycamore station; however, the concentrations at Beaty Creek were significantly less than at all other stations. Phosphorus concentrations in runoff samples were not significantly different among the three downstream stations on Spavinaw Creek and were significantly different at the Maysville station on Spavinaw Creek and the Beaty Creek station, only during 2004–2006. Phosphorus and nitrogen concentrations in runoff samples from all stations generally increased with increasing streamflow.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085174","collaboration":"Prepared in cooperation with the City of Tulsa, Oklahoma","usgsCitation":"Tortorelli, R.L., 2008, Nutrient concentrations, loads, and yields in the Eucha-Spavinaw Basin, Arkansas and Oklahoma, 2002-2006: U.S. Geological Survey Scientific Investigations Report 2008-5174, vi, 56 p., https://doi.org/10.3133/sir20085174.","productDescription":"vi, 56 p.","temporalStart":"2002-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":430630,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86351.htm","linkFileType":{"id":5,"text":"html"}},{"id":12329,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5174/","linkFileType":{"id":5,"text":"html"}},{"id":195771,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Arkansas, Oklahoma","otherGeospatial":"Eucha-Spavinaw Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.25,36.166666666666664 ], [ -95.25,36.5 ], [ -94.25,36.5 ], [ -94.25,36.166666666666664 ], [ -95.25,36.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db604628","contributors":{"authors":[{"text":"Tortorelli, Robert L.","contributorId":65071,"corporation":false,"usgs":true,"family":"Tortorelli","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":301561,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97280,"text":"sir20085211 - 2008 - Assessment of metals exposure and sub-lethal effects in voles and small birds captured near the DeLong Mountain Regional Transportation System Road, Cape Krusenstern National Monument, Alaska, 2006","interactions":[],"lastModifiedDate":"2016-10-13T11:59:23","indexId":"sir20085211","displayToPublicDate":"2009-02-11T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5211","title":"Assessment of metals exposure and sub-lethal effects in voles and small birds captured near the DeLong Mountain Regional Transportation System Road, Cape Krusenstern National Monument, Alaska, 2006","docAbstract":"Voles (n=6) and small ground-nesting birds (n=12) were live-captured near the DeLong Mountain Regional Transportation System haul road in Cape Krusenstern National Monument in northwest Alaska in 2006 to assess metals exposure and sub-lethal biological effects. Similar numbers of animals were captured from a reference site in southern Cape Krusenstern National Monument for comparison. Histopathological examination of selected organs, blood analysis, and analysis for aluminum, barium, cadmium, lead, and zinc concentrations in liver and blood samples were performed. Voles and small birds captured from near the haul road had about 20 times greater blood and liver lead concentrations and about 3 times greater cadmium concentrations when compared to those from the reference site. Barium and zinc tissue concentrations of animals collected from different sites were not remarkably different, and aluminum concentrations were below the reporting limits in most samples. There was no clear evidence of serious sub-lethal biological effects such as lesions in internal organs or DNA damage in blood in any of the animals. Accordingly, blood and liver lead concentrations in animals captured near the haul road generally were less than tissue concentration thresholds associated with serious biological effects reported from other studies; however, subtle effects resulting from lead exposure, such as the suppression of the activity of certain enzymes, cannot be ruled out for those animals nearest the haul road. Notably, liver lead concentrations of voles and small birds at the reference location were considerably less than those previously reported for similar animals at reference sites in other parts of the United States, Canada, and Europe. Results from this reconnaissance-level study indicate that voles and small birds inhabiting this area are not suffering serious biological effects as a result of metals exposure; however, continued monitoring of lead and other metals is recommended because of uncertainties noted and because biological effects thresholds might be approached if exposure levels were to increase.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085211","collaboration":"Prepared in cooperation with the National Park Service, Western Arctic National Parklands, National Park Service, Kotzebue, Alaska","usgsCitation":"Brumbaugh, W.G., Mora, M.A., and May, T.W., 2008, Assessment of metals exposure and sub-lethal effects in voles and small birds captured near the DeLong Mountain Regional Transportation System Road, Cape Krusenstern National Monument, Alaska, 2006 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5211, iv, 23 p., https://doi.org/10.3133/sir20085211.","productDescription":"iv, 23 p.","numberOfPages":"32","onlineOnly":"Y","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":124654,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5211.jpg"},{"id":329533,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2008/5211/pdf/SIR2008.5211.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":12331,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5211/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -164.5,67 ], [ -164.5,68.08333333333333 ], [ -162.5,68.08333333333333 ], [ -162.5,67 ], [ -164.5,67 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db69834f","contributors":{"authors":[{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":301563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mora, Miguel A. 0000-0002-8393-0216","orcid":"https://orcid.org/0000-0002-8393-0216","contributorId":46643,"corporation":false,"usgs":true,"family":"Mora","given":"Miguel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":301564,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97273,"text":"sir20075257 - 2008 - Use of inverse-modeling methods to improve ground-water-model calibration and evaluate model-prediction uncertainty, Camp Edwards, Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2019-08-20T12:31:33","indexId":"sir20075257","displayToPublicDate":"2009-02-07T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-5257","title":"Use of inverse-modeling methods to improve ground-water-model calibration and evaluate model-prediction uncertainty, Camp Edwards, Cape Cod, Massachusetts","docAbstract":"Historical weapons testing and disposal activities at Camp Edwards, which is located on the Massachusetts Military Reservation, western Cape Cod, have resulted in the release of contaminants into an underlying sand and gravel aquifer that is the sole source of potable water to surrounding communities. Ground-water models have been used at the site to simulate advective transport in the aquifer in support of field investigations. Reasonable models developed by different groups and calibrated by trial and error often yield different predictions of advective transport, and the predictions lack quantitative measures of uncertainty. A recently (2004) developed regional model of western Cape Cod, modified to include the sensitivity and parameter-estimation capabilities of MODFLOW-2000, was used in this report to evaluate the utility of inverse (statistical) methods to (1) improve model calibration and (2) assess model-prediction uncertainty.\r\n\r\nSimulated heads and flows were most sensitive to recharge and to the horizontal hydraulic conductivity of the Buzzards Bay and Sandwich Moraines and the Buzzards Bay and northern parts of the Mashpee outwash plains. Conversely, simulated heads and flows were much less sensitive to vertical hydraulic conductivity. Parameter estimation (inverse calibration) improved the match to observed heads and flows; the absolute mean residual for heads improved by 0.32 feet and the absolute mean residual for streamflows improved by about 0.2 cubic feet per second. Advective-transport predictions in Camp Edwards generally were most sensitive to the parameters with the highest precision (lowest coefficients of variation), indicating that the numerical model is adequate for evaluating prediction uncertainties in and around Camp Edwards. The incorporation of an advective-transport observation, representing the leading edge of a contaminant plume that had been difficult to match by using trial-and-error calibration, improved the match between an observed and simulated plume path; however, a modified representation of local geology was needed to simultaneously maintain a reasonable calibration to heads and flows and to the plume path.\r\n\r\nAdvective-transport uncertainties were expressed as about 68-, 95-, and 99-percent confidence intervals on three dimensional simulated particle positions. The confidence intervals can be graphically represented as ellipses around individual particle positions in the X-Y (geographic) plane and in the X-Z or Y-Z (vertical) planes. The merging of individual ellipses allows uncertainties on forward particle tracks to be displayed in map or cross-sectional view as a cone of uncertainty around a simulated particle path; uncertainties on reverse particle-track endpoints - representing simulated recharge locations - can be geographically displayed as areas at the water table around the discrete particle endpoints. This information gives decisionmakers insight into the level of confidence they can have in particle-tracking results and can assist them in the efficient use of available field resources.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20075257","collaboration":"Prepared in cooperation with the Impact Area Groundwater Study Program of the National Guard Bureau and U.S. Army Environmental Command","usgsCitation":"Walter, D.A., and LeBlanc, D.R., 2008, Use of inverse-modeling methods to improve ground-water-model calibration and evaluate model-prediction uncertainty, Camp Edwards, Cape Cod, Massachusetts: U.S. Geological Survey Scientific Investigations Report 2007-5257, viii, 49 p., https://doi.org/10.3133/sir20075257.","productDescription":"viii, 49 p.","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":125651,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5257.jpg"},{"id":12323,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5257/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.71666666666667,41.46666666666667 ], [ -70.71666666666667,41.8 ], [ -70.11666666666666,41.8 ], [ -70.11666666666666,41.46666666666667 ], [ -70.71666666666667,41.46666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a18e4b07f02db60519c","contributors":{"authors":[{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301552,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97270,"text":"ofr20081242 - 2008 - User's Guide to the Water-Analysis Screening Tool (WAST): A Tool for Assessing Available Water Resources in Relation to Aquatic-Resource Uses","interactions":[],"lastModifiedDate":"2017-06-08T12:21:25","indexId":"ofr20081242","displayToPublicDate":"2009-02-07T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1242","title":"User's Guide to the Water-Analysis Screening Tool (WAST): A Tool for Assessing Available Water Resources in Relation to Aquatic-Resource Uses","docAbstract":"A water-analysis screening tool (WAST) was developed by the U.S. Geological Survey, in partnership with the Pennsylvania Department of Environmental Protection, to provide an initial screening of areas in the state where potential problems may exist related to the availability of water resources to meet current and future water-use demands. The tool compares water-use information to an initial screening criteria of the 7-day, 10-year low-flow statistic (7Q10) resulting in a screening indicator for influences of net withdrawals (withdrawals minus discharges) on aquatic-resource uses. This report is intended to serve as a guide for using the screening tool.\r\n\r\nThe WAST can display general basin characteristics, water-use information, and screening-indicator information for over 10,000 watersheds in the state. The tool includes 12 primary functions that allow the user to display watershed information, edit water-use and water-supply information, observe effects downstream from edited water-use information, reset edited values to baseline, load new water-use information, save and retrieve scenarios, and save output as a Microsoft Excel spreadsheet.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081242","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection","usgsCitation":"Stuckey, M.H., and Kiesler, J.L., 2008, User's Guide to the Water-Analysis Screening Tool (WAST): A Tool for Assessing Available Water Resources in Relation to Aquatic-Resource Uses: U.S. Geological Survey Open-File Report 2008-1242, Report: vi, 19 p.; 5 Appendixes, https://doi.org/10.3133/ofr20081242.","productDescription":"Report: vi, 19 p.; 5 Appendixes","additionalOnlineFiles":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":196467,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12320,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1242/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db603fda","contributors":{"authors":[{"text":"Stuckey, Marla H. 0000-0002-5211-8444 mstuckey@usgs.gov","orcid":"https://orcid.org/0000-0002-5211-8444","contributorId":1734,"corporation":false,"usgs":true,"family":"Stuckey","given":"Marla","email":"mstuckey@usgs.gov","middleInitial":"H.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiesler, James L. jkiesler@usgs.gov","contributorId":4470,"corporation":false,"usgs":true,"family":"Kiesler","given":"James","email":"jkiesler@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":301546,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97271,"text":"sir20085060 - 2008 - Water-Quality Conditions and Constituent Loads, Water Years 1996-2002, and Water-Quality Trends, Water Years 1983-2002, in the Scituate Reservoir Drainage Area, Rhode Island","interactions":[],"lastModifiedDate":"2018-04-03T11:30:20","indexId":"sir20085060","displayToPublicDate":"2009-02-07T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5060","title":"Water-Quality Conditions and Constituent Loads, Water Years 1996-2002, and Water-Quality Trends, Water Years 1983-2002, in the Scituate Reservoir Drainage Area, Rhode Island","docAbstract":"The Scituate Reservoir is the primary source of drinking water for more than 60 percent of the population of Rhode Island. Water-quality data and streamflow data collected at 37 surface-water monitoring stations in the Scituate Reservoir drainage area, Rhode Island, from October 1, 1995 through September 30, 2002, (water years (WY) 1996-2002) were analyzed to determine water-quality conditions and constituent loads in the drainage area. Trends in water quality, including physical properties and concentrations of constituents, were investigated for the same period and for a longer period from October 1, 1982 through September 30, 2002 (WY 1983-2002). Water samples were collected and analyzed by Providence Water Supply Board, the agency that manages the Scituate Reservoir. Streamflow data were collected by the U.S. Geological Survey. Median values and other summary statistics were calculated for WY 1996-2002 for all 37 monitoring stations for pH, color, turbidity, alkalinity, chloride, nitrite, nitrate, total coliform bacteria, Escherichia coli (E. coli) bacteria, orthophosphate, iron, and manganese. Instantaneous loads and yields (loads per unit area) of total coliform and E. coli bacteria (indicator bacteria), chloride, nitrite, nitrate, orthophosphate, iron, and manganese were calculated for all sampling dates during WY 1996-2002 for the 23 stations with streamflow data. Values of physical properties and concentrations of constituents were compared to State and Federal water-quality standards and guidelines, and were related to streamflow, land-use characteristics, and road density.\r\n\r\nTributary stream water in the Scituate Reservoir drainage area for WY 1996-2002 was slightly acidic (median pH of all stations equal to 6.1) and contained low concentrations of chloride (median 13 milligrams per liter (mg/L)), nitrate (median 0.04 mg/L as N), and orthophosphate (median 0.04 mg/L as P). Turbidity and alkalinity values also were low with median values of 0.62 nephelometric turbidity units and 4.8 mg/L as calcium carbonate, respectively. Indicator bacteria were detected in samples from all stations, but median concentrations were low, 23 and 9 colony-forming units per 100 mL for total coliform and E. coli bacteria, respectively. Median values of several physical properties and median concentrations of several constituents that can be related to human activities correlated positively with the percentages of developed land and correlated negatively with the percentages of forest cover in the drainage areas of the monitoring stations. Median concentrations of chloride also correlated positively with the density of roads in the drainage areas of monitoring stations, likely reflecting the effects of road-salt applications. Median values of color correlated positively with the percentages of wetlands in the drainage areas of monitoring stations, reflecting the natural sources of color in tributary stream waters. Negative correlations of turbidity, indicator bacteria, and chloride with streamflow likely reflect seasonal patterns, in which higher values and concentrations of these properties and constituents occur during low-flow conditions at the ends of water years. Similar seasonal patterns were observed for pH, alkalinity, and color.\r\n\r\nLoads and yields of chloride, nitrate, orthophosphate, and bacteria varied among monitoring stations in the Scituate Reservoir drainage area. Loads generally were higher at stations with larger drainage areas and at stations in the eastern, more developed parts of the Scituate Reservoir drainage area. Yields generally were higher at stations in the eastern parts of the drainage area. Upward trends in pH were identified for nearly half the monitoring stations and may reflect regional reductions in acid precipitation. Upward and downward trends were identified in chloride concentrations at various stations; upward trends may reflect the effects of increasing development, whereas strong downward trends at","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085060","collaboration":"Prepared in cooperation with the Providence Water Supply Board","usgsCitation":"Nimiroski, M.T., DeSimone, L., and Waldron, M.C., 2008, Water-Quality Conditions and Constituent Loads, Water Years 1996-2002, and Water-Quality Trends, Water Years 1983-2002, in the Scituate Reservoir Drainage Area, Rhode Island: U.S. Geological Survey Scientific Investigations Report 2008-5060, viii, 48 p., https://doi.org/10.3133/sir20085060.","productDescription":"viii, 48 p.","temporalStart":"1983-10-01","temporalEnd":"2002-09-30","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":121080,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5060.jpg"},{"id":12321,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5060/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.83333333333333,41.666666666666664 ], [ -71.83333333333333,41.916666666666664 ], [ -71.5,41.916666666666664 ], [ -71.5,41.666666666666664 ], [ -71.83333333333333,41.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b018","contributors":{"authors":[{"text":"Nimiroski, Mark T.","contributorId":65898,"corporation":false,"usgs":true,"family":"Nimiroski","given":"Mark","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":301549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":176711,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie A.","email":"ldesimon@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":false,"id":301548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waldron, Marcus C. mwaldron@usgs.gov","contributorId":1867,"corporation":false,"usgs":true,"family":"Waldron","given":"Marcus","email":"mwaldron@usgs.gov","middleInitial":"C.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301547,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97264,"text":"sim3057 - 2008 - Potentiometric Surface of the Upper Floridan Aquifer, West-Central Florida, May 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:11:54","indexId":"sim3057","displayToPublicDate":"2009-02-06T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3057","title":"Potentiometric Surface of the Upper Floridan Aquifer, West-Central Florida, May 2008","docAbstract":"The Floridan aquifer system consists of the Upper and Lower Floridan aquifers separated by the middle confining unit. The middle confining unit and the Lower Floridan aquifer in west-central Florida generally contain highly mineralized water. The water-bearing units containing fresh water are herein referred to as the Upper Floridan aquifer. The Upper Floridan aquifer is the principal source of water in the Southwest Florida Water Management District and is used for major public supply, domestic use, irrigation, and brackish water desalination in coastal communities (Southwest Florida Water Management District, 2000).\r\n This map report shows the potentiometric surface of the Upper Floridan aquifer measured in May 2008. The potentiometric surface is an imaginary surface connecting points of equal altitude to which water will rise in tightly-cased wells that tap a confined aquifer system (Lohman, 1979). This map represents water-level conditions near the end of the dry season, when ground-water levels usually are at an annual low and withdrawals for agricultural use typically are high. The cumulative average rainfall of 46.95 inches for west-central Florida (from June 2007 through May 2008) was 5.83 inches below the historical cumulative average of 52.78 inches (Southwest Florida Water Management District, 2008). Historical cumulative averages are calculated from regional rainfall summary reports (1915 to most recent complete calendar year) and are updated monthly by the Southwest Florida Water Management District.\r\n This report, prepared by the U.S. Geological Survey in cooperation with the Southwest Florida Water Management District, is part of a semi-annual series of Upper Floridan aquifer potentiometric-surface map reports for west-central Florida. Potentiometric-surface maps have been prepared for January 1964, May 1969, May 1971, May 1973, May 1974, and for each May and September since 1975. Water-level data are collected in May and September each year to show the approximate annual low and high water-level conditions, respectively. Most of the water-level data for this map were collected by the U.S. Geological Survey during the period May 19-23, 2008. Supplemental water-level data were collected by other agencies and companies. A corresponding potentiometric-surface map was prepared for areas east and north of the Southwest Florida Water Management District boundary by the U.S. Geological Survey office in Orlando, Florida (Kinnaman and Dixon, 2008). Most water-level measurements were made during a 5-day period; therefore, measurements do not represent a 'snapshot' of conditions at a specific time, nor do they necessarily coincide with the seasonal low water-level condition.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3057","collaboration":"Prepared in cooperation with Southwest Florida Water Management District","usgsCitation":"Ortiz, A., 2008, Potentiometric Surface of the Upper Floridan Aquifer, West-Central Florida, May 2008: U.S. Geological Survey Scientific Investigations Map 3057, Map Sheet: 34 x 34 inches, https://doi.org/10.3133/sim3057.","productDescription":"Map Sheet: 34 x 34 inches","onlineOnly":"Y","temporalStart":"2008-05-01","temporalEnd":"2008-05-31","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":110805,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86349.htm","linkFileType":{"id":5,"text":"html"},"description":"86349"},{"id":198161,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12315,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3057/","linkFileType":{"id":5,"text":"html"}}],"scale":"500000","projection":"State Plane Florida East","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.5,26.5 ], [ -84.5,30 ], [ -80.75,30 ], [ -80.75,26.5 ], [ -84.5,26.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dee4b07f02db5e3045","contributors":{"authors":[{"text":"Ortiz, A.G.","contributorId":53357,"corporation":false,"usgs":true,"family":"Ortiz","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":301529,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}