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This dataset summarizes various sedimentary data from ten U.S. Geological Survey (USGS) surface water sites across the contiguous United States. These sites include: 01648010 Rock Creek at Joyce Road, Washington, DC 05586300 Illinois River at Florence, Illinois 06731000 Cherry Creek below Cherry Creek Lake, Colorado 06807000 Missouri River at Nebraska City, Nebraska 06935965 Missouri River at St. Charles, Missouri 08374550 Rio Grande near Castolon, Texas 08375300 Rio Grande at Rio Grande Village, Big Bend National Park, Texas 09404200 Colorado River above Diamond Creek near Peach Springs, Arizona 11447650 Sacramento River at Freeport, California 12046260 Elwha River at diversion near Port Angeles, Washington The...
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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These data present suspended particle size distributions collected by the U.S. Geological Survey (USGS) Pacific Coastal and Marine Science Center at three locations in the Sacramento-San Joaquin Delta. Data were collected in Lindsey Slough on April 4 and April 18, 2017, and near the mouth of the Mokelumne River and in Middle River on March 14, 2018 by deploying a Sequoia Scientific Laser In-situ Scattering and Transmissometry instrument (LISST 100x) from a small vessel during the deployment of the hydrographic time series data instruments. At each site, data were collected 1 to 2 times, generally near the water surface, at mid depth, and near the sediment bed. These data were collected as part of a study on the...
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These model archive summaries document the surrogate regression models developed to estimate 15-minute suspended-sediment concentrations at three streamgage sites in Colorado: Anthracite Creek above Mouth near Somerset, U.S. Geological Survey (USGS) site number 09132095; Muddy Creek above Paonia Reservoir, USGS site number 385903107210800; and North Fork Gunnison below Raven Gulch near Somerset, USGS site number 385553107243301. The methods used follow USGS guidance as referenced in relevant Office of Surface Water Technical Memorandum (TM) 2016.07 and Office of Water Quality TM 2016.10, USGS Techniques and Methods, book 3, chap. C5 (Landers and others, 2016), and (or) USGS Techniques and Methods, book 3, chap....
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The objective of this work is to delineate areas in the Upper Mississippi River System where the combined effects of water clarity and water level fluctuation conditions are not limiting the establishment and persistence of submersed aquatic vegetation. We note that other factors, such as herbivory or high current velocity may actively prevent establishment of submersed aquatic vegetation in areas of the Upper Mississippi River System, and that this analysis is based on physical constraints imposed by water clarity and water level fluctuation only. Total suspended solids information was collected by the Upper Mississippi River Restoration program, and water level information was collected by the United State Army...
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Suspended-sediment transport is a critical element governing the geomorphology of tidal marshes and estuaries. Marsh elevation, relative to sea level, is maintained by both organic material and the deposition of inorganic sediment. Additionally, horizontal marsh extent is altered by lateral erosion and accretion. In wetlands within and near Grand Bay National Estuarine Research Reserve, parts of the salt marsh are eroding relatively rapidly. To understand the connection between sediment fluxes and these processes, the U.S. Geological Survey made oceanographic and water-quality measurements from August 2, 2016, to January 28, 2017, to quantify suspended-sediment concentration and sediment transport in tidal channels...
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A comprehensive study to evaluate water-quality trends in the international Red River of the North basin and to assess water-quality conditions for Red River of the North crossing the international boundary near Emerson, Manitoba was completed by the U.S. Geological Survey (USGS) in cooperation with the International Joint Commission, North Dakota Department of Environmental Quality (NDDEQ) and Minnesota Pollution Control Agency (MPCA), and in collaboration with Manitoba Sustainable Development (MSD) and Environment and Climate Change Canada (ECCC). In this dataset a zipped folder is provided which contains all files necessary to run models and produce results published in U.S. Geological Scientific Investigations...
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This model archive summary documents the suspended-sediment concentration (SSC) model developed to estimate 15-minute SSC at Anthracite Creek above Mouth near Somerset, U.S. Geological Survey (USGS) site number 09132095. The methods used follow USGS guidance as referenced in relevant Office of Surface Water Technical Memorandum (TM) 2016.07 and Office of Water Quality TM 2016.10, USGS Techniques and Methods, book 3, chap. C5 (Landers and others, 2016), and USGS Techniques and Methods, book 3, chap. C4 (Rasmussen and others, 2009). A total of 399 suspended-sediment samples were collected during the calibration period (43 cross-section and 356 single-station samples). Forty-one of these samples with associated streamflow...
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This R script can be used to analyze SELDM results. The script is specifically tailored for the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
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A series of tools (spreadsheets, a database and a document) to be used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
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This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season starting in 2018 at stations located along the U.S. shoreline of Lakes Michigan, Huron, Erie, and Ontario. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: - seasonal time series of light, water currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors at a subset of stations; - measurements of Secchi disk depth and water chemistry; - water column profiles of temperature, specific conductivity, turbidity, pH, phycocyanin,...
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As part of the Great Lakes Restoration Initiative, the U.S. Department of Agriculture, Natural Resources Conservation Service; U.S. Environmental Protection Agency; and the U.S. Geological Survey (USGS) have partnered to evaluate agricultural conservation practices focused on nutrient management. Monitoring methods allow for rapid assessment of water-quality changes in response to conservation efforts by focusing on subsurface-tile drainage and direct surface runoff from fields. Estimated daily loads presented within this dataset are from five surface-runoff monitoring stations (USGS station identification number 441624088045601, approximated drainage area of 4.17 hectare; USGS station identification number 441546088082001,...
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Spreadsheet used to calculate Highway Site characteristics (Drainage area, slope and impervious fraction) for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053.
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Spreadsheet used to calculated hydrograph recession parameters (Minimum, Most Probable Value, and Maximum) for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
The datasets provided here are the output from the Seasonal Kendall Trend (SKT) test and Weighted Regressions on Time, Discharge, and Season (WRTDS) model that characterize changes in water quality in rivers and streams across the Delaware River Basin. SKT results are compiled in "skt_out.csv" for all combinations of site, water-quality parameter, and trend period. WRTDS results are compiled in four datasets. If unspecified, generalized flow normalization (GFN) results are reported. Stationary flow normalization (SFN) results are indicated in the datasets. "wrtds_out_annResults.csv" contains the annual estimates of mean concentration and load and GFN and SFN estimates by site and parameter for the entire calibration...
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Surface water samples were collected from four stream/agricultural drain sites in the Sacramento Valley of California to measure pesticides commonly applied to rice. Samples were collected weekly from May through August 2010 to capture the rice pesticide application season. Water samples were filtered (0.7 µm) and extracted via solid-phase extraction. Additionally, the filter paper was solvent extracted to measure suspended sediment-associated pesticides. Both fractions were analyzed via gas chromatography-mass spectrometry. A total of 89 pesticides and pesticide degradates were measured in the dissolved water phase, while 14 pyrethroid insecticides were measured in the suspended sediment-associated fraction (pyrethroids...
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Dataset includes the analysis results of 49 inorganic chemical elements bound to suspended-sediment particles below Paonia Reservoir during a sediment release in September 2017. Suspended-sediment samples were collected at U.S. Geological Survey (USGS) station number 385626107212000 by following data collection procedures and protocols in Edwards and Glysson (1999). The samples were freeze-dried after collection and then decomposed using a mixture of nitric, hydrofluoric, and perchloric acids. The dried residue after acid digestion was analyzed by atomic absorption spectrometry and inductively coupled plasma-mass spectrometry following procedures and protocols in Taggart (2002). Reference samples of flue gas desulfurization...
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As part of the Great Lakes Restoration Initiative, the U.S. Department of Agriculture, Natural Resources Conservation Service; U.S. Environmental Protection Agency; and the U.S. Geological Survey (USGS) have partnered to evaluate agricultural conservation practices focused on nutrient management. Monitoring methods allow for rapid assessment of water-quality changes in response to conservation efforts by focusing on subsurface-tile drainage and direct surface runoff from fields. Estimated daily loads presented within this dataset are from one surface-runoff monitoring station (USGS station identification number 0414826544; approximated drainage area of 60.6 hectare) and one tile-runoff monitoring station (USGS...
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This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season of 2018 at stations located along the U.S. shoreline of Lakes Michigan, Huron, Erie, and Ontario. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: - seasonal time series of light, currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors at a subset of stations; - measurements of Secchi disk depth and water chemistry; - water column profiles of temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll,...
This data release provides water-quality trends for rivers and streams in the Delaware River Basin determined using the Weighted Regressions on Time, Discharge, and Season (WRTDS) model and the Seasonal Kendall Trend (SKT) test. Sixteen water-quality parameters were assessed, including nutrients (ammonia, nitrate, filtered orthophosphate, total nitrogen, total phosphorus, and unfiltered orthophosphate), major ions (calcium, chloride, magnesium, potassium, sodium, and sulfate), salinity indicators (total dissolved solids and specific conductance), and sediment (total suspended solids and suspended sediment concentration). The child items include the input and output data used in the modeling and testing of water-quality...


map background search result map search result map Estimated daily loads of nutrients, sediment, and chloride at USGS edge-of-field stations, tributaries to Lum Drain, Genesee County, Michigan, water years 2012-17 Estimated daily loads of nutrients, sediment, and chloride at USGS edge-of-field stations, in Wisconsin, water years 2012-17 Tools for use in Oregon with the Stochastic Empirical Loading Dilution Model Excel spreadsheet used for calculating hydrograph recession values use in the Stochastic Empirical Loading Dilution Model Excel spreadsheet used for calculating highway site characteristics for use in the Stochastic Empirical Loading Dilution Model R programming code for analyzing output from the Stochastic Empirical Loading Dilution Model Suspended-sediment concentration data from water samples collected in 2016-17 in Grand Bay, Alabama and Mississippi Water-quality and streamflow data for United States and Canadian sites in the Red River Basin and scripts for trend analysis—Data supporting water-quality trend analysis in the Red River of the North basin, 1970–2017 Surrogate regression models for computation of time series suspended-sediment concentrations at Muddy Creek above Paonia Reservoir, Anthracite Creek above mouth near Somerset, and North Fork Gunnison below Raven Gulch near Somerset, Colorado Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 09132095; Anthracite Creek above Mouth near Somerset, Colorado Suspended particle size distribution data from three locations in the Sacramento-San Joaquin Delta, California, 2017 to 2018 Concentration of inorganic chemical elements associated with suspended sediment at Muddy Creek below Paonia Reservoir, Gunnison County, Colorado, U.S. Geological Survey site number 385626107212000 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 Data for Field Evaluation of the Sequoia Scientific LISST-ABS Acoustic Backscatter Sediment Sensor 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) 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 (output data) Pesticide concentrations in surface waters of the Sacramento Valley rice-growing region, 2010 Cladophora biomass and supporting data collected in the Great Lakes, 2018 (ver. 1.1, September 2020) Cladophora biomass and supporting data collected in the Great Lakes Predicted number of years from 1993 - 2014 with conditions suitable for submersed aquatic vegetation based on light availability and water level fluctuations for the Upper Mississippi River System (lower submersed aquatic vegetation boundary elevation scenario) Estimated daily loads of nutrients, sediment, and chloride at USGS edge-of-field stations, tributaries to Lum Drain, Genesee County, Michigan, water years 2012-17 Suspended-sediment concentration data from water samples collected in 2016-17 in Grand Bay, Alabama and Mississippi Suspended particle size distribution data from three locations in the Sacramento-San Joaquin Delta, California, 2017 to 2018 Estimated daily loads of nutrients, sediment, and chloride at USGS edge-of-field stations, in Wisconsin, water years 2012-17 Pesticide concentrations in surface waters of the Sacramento Valley rice-growing region, 2010 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 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) 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 (output data) Water-quality and streamflow data for United States and Canadian sites in the Red River Basin and scripts for trend analysis—Data supporting water-quality trend analysis in the Red River of the North basin, 1970–2017 Surrogate regression models for computation of time series suspended-sediment concentrations at Muddy Creek above Paonia Reservoir, Anthracite Creek above mouth near Somerset, and North Fork Gunnison below Raven Gulch near Somerset, Colorado Tools for use in Oregon with the Stochastic Empirical Loading Dilution Model Excel spreadsheet used for calculating hydrograph recession values use in the Stochastic Empirical Loading Dilution Model Excel spreadsheet used for calculating highway site characteristics for use in the Stochastic Empirical Loading Dilution Model R programming code for analyzing output from the Stochastic Empirical Loading Dilution Model Predicted number of years from 1993 - 2014 with conditions suitable for submersed aquatic vegetation based on light availability and water level fluctuations for the Upper Mississippi River System (lower submersed aquatic vegetation boundary elevation scenario) Cladophora biomass and supporting data collected in the Great Lakes, 2018 (ver. 1.1, September 2020) Cladophora biomass and supporting data collected in the Great Lakes Data for Field Evaluation of the Sequoia Scientific LISST-ABS Acoustic Backscatter Sediment Sensor