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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...
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A series of simple linear regression models were developed for the U.S. Geological Survey (USGS) streamgage at Rice Creek below Highway 8 in Mounds View, Minnesota (USGS station number 05288580). The simple linear regression models were calibrated using streamflow data to estimate suspended-sediment (total, fines, and sands) and bedload. Data were collected during water years 2010, 2011, 2014, 2018, and 2019. The estimates from the simple linear regressions were used to calculate loads for water years 2010 through 2019. The calibrated simple linear regression models were used to improve understanding of sediment transport processes and increase accuracy of estimating sediment and loads for Rice Creek. Two multidimensional...
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This data release summarizes suspended sediment monitoring results on the Bogachiel (USGS 12042800) and Calawah (USGS 12043000) Rivers between water years 2019 and 2021, based on a combination of continuous turbidity monitoring and discrete suspended-sediment concentration (SSC) measurements. Data and results for each monitoring station were combined into zip files. Each zip file contains: Summarized SSC measurements used in model calibration, a detailed model archive summary documenting the process used to estimate SSC at 15-minute intervals, and full 15-minute estimates of SSC and suspended loads between Oct. 1, 2018 and Sept 30, 2021. Metadata files within the zip files provide additional details on the file...
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The Hamilton Wetland Restoration Project (HWRP) is a joint venture between the US Army Corps of Engineers (USACE; San Francisco District) and the California State Coastal Conservancy. The site is located on the property of the former Hamilton Army Airfield in Novato, California, along the western edge of San Pablo Bay, which is part of northern San Francisco Bay. The initial stages of wetland restoration, which included dredged sediment reuse, took place during 2009–2011. From 2011 until April 2014, the site was maintained as partially flooded through a temporary one-way culvert that allowed bay water onto the site. On April 25th, 2014, the outboard levee towards the north-eastern corner of the site was breached...
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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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This data set includes new and historical sediment data collected at the U.S. Geological Survey (USGS) streamgage on the Nemadji River near South Superior, Wisconsin (station number 04024430) from 1973 through 2016. The data were used in a comparison study of stream sediment collection and laboratory techniques for characterizing suspended sediment, bedload, and total sediment loads. Data results included in this data release include 1) suspended-sediment concentration data collected in 2015-16 using U.S. Geological Survey and Wisconsin and Minnesota Department of Natural Resources (DNR) methods; 2) streambed material particle size, measured bedload, total sediment loads, and model archive for the modified Einstein...
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Note: This data release has been superseded by version 3.0, available here: https://doi.org/10.5066/P9Q2YP9K. The Hamilton Wetland Restoration Project (HWRP) is a joint venture between the US Army Corps of Engineers (USACE; San Francisco District) and the California State Coastal Conservancy. The site is located on the property of the former Hamilton Army Airfield in Novato, California, along the western edge of San Pablo Bay, which is part of northern San Francisco Bay. The initial stages of wetland restoration, which included dredged sediment reuse, took place during 2009–2011. From 2011 until April 2014, the site was maintained as partially flooded through a temporary one-way culvert that allowed bay water onto...
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Annual loads of selected constituents were estimated for five stations in the Scituate Reservoir drainage area, Rhode Island, for water years 2016 to 2019 as part of a long-term monitoring program in cooperation with the Providence Water Supply Board. This data release includes the water-quality and streamflow data used to estimate annual loads of total phosphorus, dissolved phosphorus, total nitrogen, dissolved nitrogen, and suspended sediment with a custom regression model in the LOADEST program (Runkel and others, 2004) and by direct computation using streamflow and mean constituent concentration. Daily mean values of base flow and event-based stormflow volumes were determined by fixed-base hydrograph separation...
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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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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 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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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 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.
The U.S. Geological Survey, in collaboration with American Rivers and other partners, conducted a monitoring program beginning in 2010 to track river response to a series of dam removals on the Patapsco River intended to restore anadromous fish habitat in the watershed. Dam removals included the November 2010 removal of the Simkins dam, a 3.3 m tall and 66 m wide dam, with a reservoir sediment volume of ~67,000 cubic meters. As part of the dam removal monitoring program, three USGS streamgaging stations were established in late 2010 along the mainstem of the Patapsco River to estimate flow and suspended sediment-transport for constraining sediment budgets. USGS 01589000 Patapsco River at Hollofield, MD was reestablished...
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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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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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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...
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The Marcellus Shale Energy and Environment Laboratory (MSEEL) site 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 contain organic and inorganic chemical constituents from fracturing fluids used during drilling and stimulation of gas in host rocks/shale, as well as chemical compounds that are derived from...
Categories: Data; Tags: Energy Resources, Environmental Health, Geochemistry, MSEEL, Marcellus Shale Energy and Environment Laboratory, Morgantown, All tags...


map background search result map search result map 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 Aqueous and solid phases partitioning of elemental constituents associated with Marcellus Shale Energy and Environment Laboratory (MSEEL) gas well produced wastewater, Morgantown, WV, 2016 - 2019 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 Selected sediment data and results from regression models, modified Einstein Procedure, and loads estimation for the Nemadji River, 1973-2016 Data for Field Evaluation of the Sequoia Scientific LISST-ABS Acoustic Backscatter Sediment Sensor Data for Specific Gage Analyses on the Patapsco River, 2010-2017 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 Suspended sediment and bedload data, simple linear regression models, loads, elevation data, and FaSTMECH models for Rice Creek, Minnesota, 2010-2019 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) Water-Quality, Streamflow, and Quality-Control Data Supporting Estimation of Nutrient and Sediment Loads in the Scituate Reservoir Drainage Area, Rhode Island, Water Years 2016-19 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) Mercury speciation and other constituent data for surface water and bed sediment associated with the Hamilton Airfield Wetland Restoration, Novato, California. USA (ver. 2.0, June 2021) Suspended-Sediment Data for the Bogachiel and Calawah Rivers, WA for Water Years 2019-2021 Mercury speciation and other constituent data for surface water and bed sediment associated with the Hamilton Airfield Wetland Restoration, Novato, California. USA (ver. 4.0, March 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 Data Release: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020 Suspended-Sediment Data for the Yakima River at Kiona (USGS 12510500), Washington, June 2018 through September 2022 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 Aqueous and solid phases partitioning of elemental constituents associated with Marcellus Shale Energy and Environment Laboratory (MSEEL) gas well produced wastewater, Morgantown, WV, 2016 - 2019 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) Suspended sediment and bedload data, simple linear regression models, loads, elevation data, and FaSTMECH models for Rice Creek, Minnesota, 2010-2019 Mercury speciation and other constituent data for surface water and bed sediment associated with the Hamilton Airfield Wetland Restoration, Novato, California. USA (ver. 2.0, June 2021) Mercury speciation and other constituent data for surface water and bed sediment associated with the Hamilton Airfield Wetland Restoration, Novato, California. USA (ver. 4.0, March 2023) Selected sediment data and results from regression models, modified Einstein Procedure, and loads estimation for the Nemadji River, 1973-2016 Data for Specific Gage Analyses on the Patapsco River, 2010-2017 Data Release: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020 Water-Quality, Streamflow, and Quality-Control Data Supporting Estimation of Nutrient and Sediment Loads in the Scituate Reservoir Drainage Area, Rhode Island, Water Years 2016-19 Suspended-Sediment Data for the Bogachiel and Calawah Rivers, WA for Water Years 2019-2021 Estimated daily loads of nutrients, sediment, and chloride at USGS edge-of-field stations, in Wisconsin, water years 2012-17 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 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 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 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) Data for Field Evaluation of the Sequoia Scientific LISST-ABS Acoustic Backscatter Sediment Sensor