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The file "Chloride_specific_conductance_regression_model_forms_for_estimating_high-frequency_chloride_concentrations.csv" contains the regression equation forms for two types of regressions: 1) single linear (SLR) and 2) piecewise (or segmented; SEG) regression between specific conductance (SC) and chloride (Cl) concentrations for 56 USGS water-quality monitoring stations across the eastern United States, plus four regional regressions developed by pooling data for sites within a region (see Moore and others (in review) for more information). Some sites, and all regions, have both SLR and SEG models reported in this table. The analysis included in the Moore and others (in review) study used results from the SLR...
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Water velocities and water-quality constituents were measured along planned survey lines, which were generally perpendicular to the shoreline and spaced 100 meters apart, over an approximately 2.3-mile section of nearshore Lake Erie on June 10-12, 2019 (survey 1), and August 19-21, 2019 (survey 2), using a 1200 kHz acoustic Doppler current profiler (ADCP), a YSI 6920 V2 multiparameter sonde, and a YSI EcoMapper autonomous underwater vehicle (AUV). Water-quality data collected in this area included near-surface and three-dimensional measurements of water temperature, specific conductance, pH, dissolved oxygen, turbidity, chlorophyll, and phycocyanin (blue-green algae). The data were geo-referenced with an integrated...
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The datasets provided here are the input data used to run the Seasonal Kendall Trend (SKT) tests and Weighted Regressions on Time, Discharge, and Season (WRTDS) models. SKT tests use "annualSamplingFreqs_allSites.csv" and "wqData_screenedSitesAll.csv" which includes, for all site-parameter combinations, information on annual sampling frequencies and the screened water-quality data, respectively. The WRTDS models use "DRB.wqdata.20200521.csv", "DRB.flow.20200610.zip", and "DRB.info.20200521.csv" for calibration which includes, for all site-parameter combinations, the water-quality data, streamflow data (as separate .csv files for each site), model specifications and site information, respectively. The multisource...
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This U.S. Geological Survey (USGS) Data Release provides spatial water-quality data collected from Milford Lake, Kansas, on May 26, June 9, July 14, July 21, and September 15, 2016. All data are reported as raw measured values and are not rounded to USGS significant figures. Continuous water-quality monitors were used to measure water temperature, specific conductance, turbidity, pH, chlorophyll, phycocyanin, dissolved oxygen, and fluorescent dissolved organic matter (fDOM) at thirty-second intervals at depths of 0.5- and 1.5-meters throughout the lake.
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From August 2018 to October 2019, the U.S. Geological Survey collected spatially high-resolution water quality data as part of five shoreline synoptic surveys around the perimeters of Owasco, Seneca, and Skaneateles Lakes within the Finger Lakes Region of New York. Water-quality data were collected just below water surface utilizing YSI EXO2 multiparameter sondes and portable nitrate sensors paired with real-time GPS data as part of a HABs monitoring program in the Finger Lakes. In October 2019, water-quality data collection was paired with discrete phytoplankton grab samples on Owasco Lake and Seneca Lake. Phytoplankton grab samples were collected just below water surface with a peristaltic pump at twelve locations...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, Contaminants, HABS, Finger Lakes, Limnology, New York, All tags...
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This child item data set provides high-resolution, nearshore, spatial water-quality data collected from Owasco Lake, New York, on June 26 and October 8, 2019. All data are reported as raw measured values. Continuous water-quality monitors were mounted to a boat at approximately 0.5-meters below the water surface and used to measure nitrate, chlorophyll fluorescence (fChl), fluorescent dissolved organic matter (fDOM), dissolved oxygen, specific conductance, phycocyanin fluorescence (fPC), turbidity, pH, and temperature.
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The U.S. Geological Survey (USGS) monitors water surface flow reversals, commercial vessel traffic, and temperature and specific conductance in the U.S. Army Corps of Engineers Electric Dispersal Barrier System (EDBS) on the Chicago Sanitary and Ship Canal, Chicago, Illinois. These data are planned to be released on USGS ScienceBase annually. This data release is the summary of all the data collected during water year 2019 (October 1, 2018, to September 30, 2019). Meyers and others (2019) describe all the data collected during October 1, 2018, to September 30, 2019. Water surface flow reversals at the EDBS are monitored using surface velocity radar. Commercial vessel traffic patterns through the EDBS are documented...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Uintah County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Daggett County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
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Slug additions are often the most accurate method for determining discharge when traditional current meter or acoustic measurements are unreliable because of high turbulence, rocky streambed, shallow or sheet flow, or the stream is physically inaccessible (e.g., under ice or canyon walls) or unsafe to wade (Zellweger et al., 1989, Kilpatrick and Cobb 1984, Ferranti 2015). The slug addition method for determining discharge requires an injection of a known amount of a single salt and high-frequency downstream measurement of solute concentration to capture the response curve (Kilpatrick and Cobb 1984). A new slug method was developed to determine stream discharge utilizing specific conductance and ionic molal conductivities...
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A vented conductivity, temperature and depth sensor (CTD, InSitu Aqua Troll) was installed at site NR1 (N 47° 04’ 16.1”/W 122° 42’ 15.5”) and continuously measured water temperature, water depth, specific conductance, and salinity at 15-minute intervals from February 11, 2016 to July 18, 2016 (159 days). The sensor was replaced with a vented water-level logger (InSitu Level Troll) on July 19, 2016 and deployed until March 19, 2018 (608 days). The site is tidally influenced and located approximately 4.1 km upstream from the mouth of the Nisqually River and within the tidal prism. The elevation (NAVD88) of the top of the deployment pipe was surveyed by RTN-GPS. Tape-down measurements from the top of the pipe to the...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Tooele County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Davis County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Grand County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
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This data set includes estimated chloride concentrations for the 93 USGS water quality monitoring stations located across the eastern United States. Chloride concentrations were predicted using regression equations that established the relationship between simultaneous measurements of chloride and specific conductance (SC). Site-specific models were developed and applied when data were available, and regional regression models were used where there were insufficient data available to establish a site-specific regression model. These models were applied to high-frequency SC data sets to produce high-frequency predicted chloride concentrations at 2-minute to 1-hour intervals, depending on the frequency at which SC...
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This dataset contains climate, road salt application, physical, and land cover characteristics summarized for watersheds upstream of 93 USGS stream gages. Data were summarized by watershed using geographic information system software. The dataset consists of one comma-separated variable table.
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Sample and Specific Conductance Monitoring Site Near the USGS stream gage 06191500 (Latitude N 45°06'43.63", Longitude W 110°47'37.20", NAD83). Methods Specific Conductance Data An In-Situ Aqua Troll 100 Data Logger was used to measure and store specific conductance measurements. Specific conductance measurements were made every 15 minutes. The specific conductance monitoring data were periodically checked against discrete measurements. The hand-held field meter used for discrete measurements and the continuous specific conductance probe were calibrated using NIST traceable standards and measurements were made following the procedure described in the USGS National Field Manual (USGS, 2015). Water Quality Data...
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Ecosystem metabolism is a measure of energy flow in terrestrial and aquatic environments that quantifies a balance between the rate of biomass production by photosynthesizing plants and the rate of biomass oxidation by respiring plants and animals to maintain and build living biomass. It is therefore a fundamental measure of ecosystem function that quantifies the balance between the rate of production, maintenance, and decay of organic matter. It also provides an understanding of energy flow to higher trophic levels that supports food webs with secondary and tertiary productivity. Furthermore, metabolism helps explain when aquatic ecosystems undergo out-of-balance behaviors such as hypoxia. Recent advances in sensor...
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A vented conductivity, temperature and depth sensor (CTD, InSitu Aqua Troll) was installed at site NR3 (N 47° 05’ 12”/W 122° 42’ 22”) and continuously measured water level, water temperature, specific conductance, and salinity at 15-minute intervals from February 12, 2016 to August 7, 2016 (177 days) and from October 7, 2016 to February 8, 2017 (124 days). This site is tidally influenced and located approximately 2.2 km upstream from the mouth of the Nisqually River. Elevation (NAVD88) of the deployment pipe was surveyed by RTN-GPS. Elevation of pipe plus distance to sensor is included in the offset. The offset needed to convert water depth to NAVD88 water surface elevation is -0.31 meters. . Water depth of the...
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Sample and Specific Conductance Monitoring Site Near the USGS stream gage 06036940 (Latitude N 44°43'57.81", Longitude W 110°42'47.71", NAD83). Methods Specific Conductance Data An In-Situ Aqua Troll 100 Data Logger was used to measure and store specific conductance measurements. Specific conductance measurements were made every 15 minutes. The specific conductance monitoring data were periodically checked against discrete measurements. The hand-held field meter used for discrete measurements and the continuous specific conductance probe were calibrated using NIST traceable standards and measurements were made following the procedure described in the USGS National Field Manual (USGS, 2015). Water Quality Data...


map background search result map search result map Milford Lake, Kansas spatial water-quality data, May 26, June 9, July 14, July 21, and September 15, 2016 Water Data for Nisqually River at Site NR1 Water Data for Nisqually River at Site NR3 Tantalus Creek, site number 06036940 Estimated high-frequency chloride concentrations Chloride-specific conductance regression model forms for estimating high-frequency chloride concentrations Watershed characteristics for selected stream gages Yellowstone River at Corwin Springs, site number 06191500 Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 (input data) Velocity surveys and three-dimensional point measurements of basic water-quality constituents in nearshore Lake Erie in the vicinity of Villa Angela Beach and Euclid Creek, Cleveland, Ohio, June 10–12, 2019, and August 19–21, 2019 High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018-2019 Owasco Lake, New York spatial water-quality data, June 26 and October 8, 2019 RiverMET: Workflow and scripts for river metabolism estimation including Illinois River Basin application, 2005 - 2020 Specific Water Quality Sites for Daggett County, Utah Specific Water Quality Sites for Davis County, Utah Specific Water Quality Sites for Grand County, Utah Specific Water Quality Sites for Tooele County, Utah Specific Water Quality Sites for Uintah County, Utah Monitoring Data to Support the Operation of the Electric Dispersal Barrier System on the Chicago Sanitary and Ship Canal at Romeoville, Illinois, October 1, 2018, to September 30, 2019 Specific conductance data collected during slug additions Monitoring Data to Support the Operation of the Electric Dispersal Barrier System on the Chicago Sanitary and Ship Canal at Romeoville, Illinois, October 1, 2018, to September 30, 2019 Tantalus Creek, site number 06036940 Yellowstone River at Corwin Springs, site number 06191500 Water Data for Nisqually River at Site NR3 Velocity surveys and three-dimensional point measurements of basic water-quality constituents in nearshore Lake Erie in the vicinity of Villa Angela Beach and Euclid Creek, Cleveland, Ohio, June 10–12, 2019, and August 19–21, 2019 Owasco Lake, New York spatial water-quality data, June 26 and October 8, 2019 Milford Lake, Kansas spatial water-quality data, May 26, June 9, July 14, July 21, and September 15, 2016 Specific Water Quality Sites for Davis County, Utah Specific Water Quality Sites for Daggett County, Utah High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018-2019 Specific Water Quality Sites for Grand County, Utah Specific Water Quality Sites for Tooele County, Utah Specific Water Quality Sites for Uintah County, Utah RiverMET: Workflow and scripts for river metabolism estimation including Illinois River Basin application, 2005 - 2020 Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 (input data) Specific conductance data collected during slug additions Estimated high-frequency chloride concentrations Chloride-specific conductance regression model forms for estimating high-frequency chloride concentrations Watershed characteristics for selected stream gages