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Management efforts of the tidally-restricted Herring River in Wellfleet, MA include research to understand pre-restoration sediment conditions. Submerged multiparameter sondes that measure optical turbidity were deployed at four sites landward and seaward of the Herring River restriction. Periodically, the sites were visited and additional turbidity measurements were collected with a handheld multiparameter sonde, and water samples were collected for determination of suspended-sediment concentration (SSC). The handheld turbidity measurements were regressed against SSC using a repeated median regression to determine a calibration curve for calibrating the turbidity time-series data to SSC. The SSC derived from the...
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Lake Powell retains most of the phosphorus that it receives, leading to downstream phosphorus limitation. These data were compiled to examine controls on phosphorus cycling below Lake Powell in the Colorado River and from storm inputs from the Paria River. Objectives of our study were to determine how several forms of phosphorus, both organic and inorganic, were cycled under varying dissolved oxygen concentrations and pH, reflecting the range of values observed in the river over the years. These data represent nitrogen, phosphorus, calcium, and carbon concentrations, water quality parameters (pH, dissolved oxygen, temperature), sediment composition, total protein, and extracellular enzyme activity (alkaline phosphatase)....
Categories: Data; Tags: Aquatic Biology, Arizona, Colorado River, Ecology, Geochemistry, All tags...
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During November 2018, the Camp Fire burned more than 150,000 acres in Butte County, California. The fire was the deadliest and most destructive in California history, destroying more than 18,000 structures and causing at least 85 fatalities. The U.S. Geological Survey sampled surface water in areas affected by the Camp Fire, plus an unburned control site, during two post-fire sampling events, January 21-23, 2019 and February 28 - March 1, 2019. During each of those two sampling events, surface-water samples were collected at 8 stream locations. These 16 water samples were filtered using filters with multiple pore sizes (1.2 µm, 0.8 µm, 0.45 µm, and 0.22 µm) to evaluate colloid transport of trace elements. The filtrates...
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These data were compiled to perform analyses of hydrologic change, changes in sediment transport, and channel change within Moenkopi Wash, Arizona. Objective(s) of our study were to quantify the magnitude and timing of changes in hydrology, sediment transport, and channel form within Moenkopi Wash and to determine the downstream effects of those changes on sediment delivery downstream to the Little Colorado River, and the Colorado River. These data represent instantaneous discharge records, suspended-sediment sample records, topographic survey data, historical aerial imagery, and channel polygons and centerlines mapped on the historical imagery. Instantaneous discharge records in this study began in 1926 and extend...
Categories: Data; Tags: Arizona, Cameron, Colorado River, Little Colorado River, Moenkopi, All tags...
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This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season of 2019 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,...
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The Sacramento / San Joaquin River Delta (SSJRD) is contaminated with legacy mercury (Hg) from historical mining and mineral processing activities throughout the watershed, as well as from contemporary atmospheric and industrial inputs. The current project was designed for the purpose of developing high-resolution spatial and temporal models for estimating concentrations of mercury species in surface waters of the SSJRD. The field component of the project brings together three high-resolution platforms for collecting water-quality data (fixed continuous monitoring stations (CMS) outfitted with in-situ sensors, spatial mapping using boat-mounted flow-through sensors, and satellite-based remote sensing) coupled with...
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This section of the data release supports the data used in models for the associated publication. The U.S. Geological Survey and the University of Wisconsin – Green Bay collected hydrologic and water-quality data to assess the effectiveness of agricultural conservation management practice (CMP) implementation at Mainstem Plum Creek (USGS site ID: 04084911) and West Plum Creek (USGS site ID: 04084927) in northeastern Wisconsin. Monitoring data from 2010–2020 at Mainstem Plum and 2013–2020 at West Plum were used to detect changes in hydrologic and water-quality responses during runoff events. Runoff events were defined by hydrographers and used to compute event loads and event flow-weighted mean concentrations of...
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These data were compiled to perform analyses of hydrologic change, changes in sediment transport, and channel change within Moenkopi Wash, Arizona. Objective(s) of our study were to quantify the magnitude and timing of changes in hydrology, sediment transport, and channel form within Moenkopi Wash and to determine the downstream effects of those changes on sediment delivery downstream to the Little Colorado River, and the Colorado River. These data represent instantaneous discharge records, suspended-sediment sample records, topographic survey data, historical aerial imagery, and channel polygons and centerlines mapped on the historical imagery. Instantaneous discharge records in this study began in 1926 and extend...
Tags: Arizona, Cameron, Colorado River, Geography, Hydrology, All tags...
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This dataset records Cladophora and associated benthic algae, collectively Cladophora community or submerged aquatic vegetation (SAV), biomass collected during the growing season of 2021 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 PAR, temperature, specific conductivity,...
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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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This data release provides computed rainfall (rain total, duration, intensity, erosivity and antecedent rainfall) and flow (flow volume, flow-weighted mean concentrations, total loads, and total yields) metrics from monitored precipitation, discharge, and water quality (nutrients and sediment concentrations) data collected at U.S. Geological Survey edge-of-field (EOF) monitoring sites located in five Great Lakes States (Wisconsin, Michigan, Ohio, Indiana, and New York). EOF monitoring sites are installed at the edge of agricultural fields, either on the field surface or using subsurface tiles, where runoff can be intercepted and channeled through monitoring equipment before it enters the natural stream system. These...
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Datasets of suspended sediment concentration and percent fines, sampling information, and daily streamflow data were compiled and harmonized for 16 sites to better understand sediment transport and delivery in the Lower Mississippi and Atchafalaya Rivers. The compiled data were harmonized by removing unnecessary columns, screening data for laboratory or sampling issues, creating consistent entries for character columns, and dropping irrelevant data, among other steps. Fourteen of the sites are in the Lower Mississippi-Atchafalaya River Basin with two additional sites on the Middle Mississippi and Ohio Rivers. Suspended sediment concentration (total, all size fractions) and percent fines for multiple size fractions...
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In 2012, Hurricane Sandy struck the Northeastern US causing devastation among coastal ecosystems. Post-hurricane marsh restoration efforts have included sediment deposition, planting of vegetation, and restoring tidal hydrology. The work presented here is part of a larger project funded by the National Fish and Wildlife Foundation (NFWF) to monitor the post-restoration ecological resilience of coastal ecosystems in the wake of Hurricane Sandy. The U.S. Geological Survey Woods Hole Coastal and Marine Science Center made in-situ observations during 2018-2019 and 2022-2023 at two sites: Thompsons Beach, NJ and Stone Harbor, NJ. Marsh creek hydrodynamics and water quality including currents, waves, water levels, water...
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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 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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This data release summarizes discrete suspended-sediment concentration (SSC) measurements and continuous estimates of SSC for the Yakima River at Kiona (USGS 12510500) for the period between June 01, 2018 and September 30, 2022. Continuous estimates of SSC were derived primarily through calibrated turbidity records. These data were collected to support a better understanding of how water quality influenced stream metabolism and water stargrass growth in the lower Yakima River.
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This dataset contains data in support of a study by the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, to describe water-quality characteristics of the Red River of the North and tributaries prior to construction of the Flood Risk Management Project in the Fargo-Moorhead metropolitan area. This dataset contains bacteria data for ten sites supplied by the North Dakota Department of Environmental Quality, pesticide data for five sites supplied by the North Dakota Department of Agriculture, results from quality control samples collected at ten sites by the USGS as well as files necessary to run loads for ten sites and seven constituents published in U.S. Geological Scientific Investigations...
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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
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This U.S. Geological Survey (USGS) Data Release is focused on the geochemistry of wastewater (including flowback and produced water) samples, co-produced with natural gas, collected from the Marcellus Shale Energy and Environment Laboratory (MSEEL) site. MSEEL is a long-term field site and laboratory at the Northeast Natural Energy LLC (NNE) production facility, adjacent to the Monongahela River, located in western Monongalia County, West Virginia, USA. NNE began drilling two horizontal production wells, MIP (Morgantown Industrial Park) -5H and MIP-3H, in the Marcellus Shale in 2014. The wells were completed in December 2015. Large volumes of wastewater are generated with natural gas production. These wastewaters...
Categories: Data, Data Release - Revised; Tags: MSEEL, Marcellus Shale Energy and Environment Laboratory, Marcellus Shale, Morgantown, USGS Science Data Catalog (SDC), alkalinity, All tags...


map background search result map search result map 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 High resolution and discrete temporal and spatial water-quality measurements in support of modeling mercury and methylmercury concentrations in surface waters of the Sacramento-San Joaquin River Delta Cladophora biomass and supporting data collected in the Great Lakes Nutrient and sediment concentrations, loads, yields, and rainfall characteristics at USGS surface and subsurface-tile edge-of-field agricultural monitoring sites in Great Lakes States (ver. 2.1, September 2023) Geochemistry Data for Wastewater Samples Collected at a Separator Tank and from an On-Site Storage Tank at the Marcellus Shale Energy and Environment Laboratory (MSEEL) 2015-2019, Morgantown Industrial Park (MIP), West Virginia (ver. 2.0, May 2023) Datasets of Suspended Sediment Concentration and Percent Fines (1973–2021), Sampling Information (1973–2021), and Daily Streamflow (1928–2021) for Sites in the Lower Mississippi and Atchafalaya Rivers to Support Analyses of Sediment Transport and Delivery Phosphorus, nitrogen, carbon, calcium, pH, and dissolved oxygen data from incubations of Colorado River water and sediment and associated ambient river water measurements Data Release: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020 Cladophora biomass and supporting data collected in the Great Lakes, 2021 Water quality data from a multiparameter sonde collected in the Herring River during November 2018 to November 2019 in Wellfleet, MA Cladophora biomass and supporting data collected in the Great Lakes, 2019 (ver. 2.0, December 2023) Suspended-Sediment Data for the Yakima River at Kiona (USGS 12510500), Washington, June 2018 through September 2022 Water quality data from a multiparameter sonde from Thompsons Beach and Stone Harbor, New Jersey, collected between September 2018 and December 2022 Discharge, topographic, suspended-sediment, and GIS data from Moenkopi Wash, AZ Data and scripts used in water-quality characteristics of the Red River of the North and tributaries in the Fargo-Moorhead metropolitan area, North Dakota 2019-2022 Topographic survey data from Moenkopi Wash, AZ Geochemical data for post-fire surface water, streambed sediment, and soils from areas affected by the 2018 Camp Fire, Butte County, California Geochemistry Data for Wastewater Samples Collected at a Separator Tank and from an On-Site Storage Tank at the Marcellus Shale Energy and Environment Laboratory (MSEEL) 2015-2019, Morgantown Industrial Park (MIP), West Virginia (ver. 2.0, May 2023) Water quality data from a multiparameter sonde collected in the Herring River during November 2018 to November 2019 in Wellfleet, MA Data Release: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020 Water quality data from a multiparameter sonde from Thompsons Beach and Stone Harbor, New Jersey, collected between September 2018 and December 2022 Geochemical data for post-fire surface water, streambed sediment, and soils from areas affected by the 2018 Camp Fire, Butte County, California Data and scripts used in water-quality characteristics of the Red River of the North and tributaries in the Fargo-Moorhead metropolitan area, North Dakota 2019-2022 High resolution and discrete temporal and spatial water-quality measurements in support of modeling mercury and methylmercury concentrations in surface waters of the Sacramento-San Joaquin River Delta Discharge, topographic, suspended-sediment, and GIS data from Moenkopi Wash, AZ Topographic survey data from Moenkopi Wash, AZ Phosphorus, nitrogen, carbon, calcium, pH, and dissolved oxygen data from incubations of Colorado River water and sediment and associated ambient river water measurements 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 Cladophora biomass and supporting data collected in the Great Lakes, 2021 Datasets of Suspended Sediment Concentration and Percent Fines (1973–2021), Sampling Information (1973–2021), and Daily Streamflow (1928–2021) for Sites in the Lower Mississippi and Atchafalaya Rivers to Support Analyses of Sediment Transport and Delivery Cladophora biomass and supporting data collected in the Great Lakes Cladophora biomass and supporting data collected in the Great Lakes, 2019 (ver. 2.0, December 2023) Nutrient and sediment concentrations, loads, yields, and rainfall characteristics at USGS surface and subsurface-tile edge-of-field agricultural monitoring sites in Great Lakes States (ver. 2.1, September 2023)