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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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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 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....
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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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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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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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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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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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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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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This data release summarizes suspended sediment monitoring results on the Chehalis (USGS 12031000), Satsop (USGS 12035000) and Wynoochee (USGS 12037400) Rivers between water years 2019 and 2022. Sediment monitoring was based on a combination of continuous turbidity records and discrete suspended-sediment concentration (SSC) measurements. Data and results for each monitoring station were combined into zip files. Each zip file contains 1) summarized SSC measurements used in model calibration, 2) a detailed model archive summary documenting the process used to estimate SSC at 15-minute intervals, and 3) full 15-minute estimates of SSC and suspended loads between Oct. 1, 2018 and Sept 30, 2022. Metadata files within...
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A series of machine learning (ML) models were developed for Minnesota. The ML models were trained and tested using suspended sediment, bedload, streamflow, and geospatial data to predicted suspended sediment and bedload. Suspended sediment, bedload, and streamflow data were collected during water years 2007 through 2019. The ML models were used to improve understanding of sediment transport processes and increase accuracy of estimating sediment and loads for streams and rivers across Minnesota. The contents of this data release include README files, input files, output files, and source code (R software version 3.6.1) needed to reproduce the ML models and results in the associated article in Hydrological Processes...
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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...
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This section of the data release supports an archive of the models used in 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 and West Plum Creek 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 total phosphorus and total suspended solids –...
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This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Mohawk River above State Highway 30A at Fonda, New York. (U.S. Geological Survey station number 01349527). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. 4 (Rasmussen and others, 2009). Thirty-nine concurrent measurements of SSC and turbidity, collected from June 12, 2015, through May 28, 2020, were used in the model calibration dataset. Samples were collected across 94 percent of the range in observed discharge and 24 percent of the range in observed turbidity during...
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This dataset describes in stream turbidity for watersheds included in a paired watershed study including a forested reference watershed and three urban watersheds with centralized or decentralized stormwater management in Clarksburg, Maryland USA. Turbidity was monitoring from June 2010 to December 2010, March 2011 to December 2011 and June 2012 to October 2012 in For-MD and Cent-MD, and only the 2011-2012 time period in Dist-MD. Mean turbidity in NTU was recorded at 5-minute intervals during the 2010-2012 monitoring seasons with a Forest Technology Systems, Digital Turbidity Sensor DTS-12. Mean turbidity was computed from 100 instantaneous recordings during the time interval. Sensor accuracy is ±2% of reading (0-399...
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This dataset includes data for in-situ solid materials and suspended sediments from surface-water samples, as well as surface-water chemistry from samples collected during storm events at Malakoff Diggins State Historic Park, Nevada County, California. In-situ solid samples were collected during 2015 along six vertical transects along the cliff walls of the mine pit. Surface-water samples were collected during 2014 and 2016 from Hiller Tunnel and from drainage networks below the in-situ sampling sites during runoff conditions. In-situ and suspended-sediment samples were analyzed for grain-size distribution, X-ray diffraction (XRD) for quantitative mineralogy, inductively coupled plasma - mass spectrometry (ICP-MS)...


map background search result map search result map Water quality data for urban (centralized versus distributed stormwater management) and forested reference watersheds in Clarksburg, MD (2004-2016) In situ turbidity data for urban and forested reference watersheds in Clarksburg, Maryland USA (2010-2012) Geochemical, mineralogical, and grain-size data for in-situ solid materials and suspended sediment at Malakoff Diggins State Historic Park, Nevada County, California 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 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 Specific Gage Analyses on the Patapsco River, 2010-2017 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) Suspended sediment and bedload data, simple linear regression models, loads, elevation data, and FaSTMECH models for Rice Creek, Minnesota, 2010-2019 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) 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) Extreme gradient boosting machine learning models, suspended sediment, bedload, streamflow, and geospatial data, Minnesota, 2007-2019 Model Archive Summary for Surrogate Turbidity Regression at USGS station 11455780 Suisun Bay at Benicia Bridge near Benicia CA (Upper Sensor), Water Years 2018, 2019, and 2020 Data Release: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020 Model Archive: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020 Model archive summary for turbidity derived suspended-sediment concentration at USGS station 01349527 Mohawk River above State Highway 30A at Fonda, New York Suspended-Sediment Data for the Chehalis, Satsop and Wynoochee Rivers in Washington State, Water Years 2019-2022 Suspended-Sediment Data for the Yakima River at Kiona (USGS 12510500), Washington, June 2018 through September 2022 Suspended-sediment concentration and loss-on-ignition from water samples at Thompsons Beach and Stone Harbor, New Jersey, collected between September 2018 and December 2022 Model Archive Summary for Surrogate Turbidity Regression at USGS station 11455780 Suisun Bay at Benicia Bridge near Benicia CA (Upper Sensor), Water Years 2018, 2019, and 2020 Suspended sediment and bedload data, simple linear regression models, loads, elevation data, and FaSTMECH models for Rice Creek, Minnesota, 2010-2019 Geochemical, mineralogical, and grain-size data for in-situ solid materials and suspended sediment at Malakoff Diggins State Historic Park, Nevada County, California 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 Water quality data for urban (centralized versus distributed stormwater management) and forested reference watersheds in Clarksburg, MD (2004-2016) In situ turbidity data for urban and forested reference watersheds in Clarksburg, Maryland USA (2010-2012) Data Release: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020 Model Archive: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020 Suspended-sediment concentration and loss-on-ignition from water samples at Thompsons Beach and Stone Harbor, New Jersey, collected between September 2018 and December 2022 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) 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 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) Extreme gradient boosting machine learning models, suspended sediment, bedload, streamflow, and geospatial data, Minnesota, 2007-2019 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)