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U.S. Geological Survey field survey data for hydraulic modeling at selected dam-removal and culvert-retrofit sites in the northeastern United States
This dataset contains U.S. Geological Survey (USGS) field survey data at nine dam-removal and culvert-retrofit sites in the northeastern United States (Olson and Simeone, 2021). The USGS field data survey are used to support the development of one-dimensional and two-dimensional U.S. Army Corps of Engineer (USACE) Hydrologic Engineering Center’s River Analysis System (HEC-RAS) models for the post-dam removal and culvert-retrofit conditions. The referenced models were used to evaluate fish passage and flood risk along the simulated reaches in the various states simulated. The field survey data consists of Global Navigation Satellite System-derived orthometric heights in the North American Vertical Datum of 1988 and projected horizontal coordinates in the North American Datum of 1983 State Plane for the respective State the sites are located in.
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U.S. Geological Survey field survey data for hydraulic modeling at selected dam-removal and culvert-retrofit sites in the northeastern United States
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This dataset contains U.S. Geological Survey (USGS) field survey data at nine dam-removal and culvert-retrofit sites in the northeastern United States (Olson and Simeone, 2021). The USGS field data survey are used to support the development of one-dimensional and two-dimensional U.S. Army Corps of Engineer (USACE) Hydrologic Engineering Center’s River Analysis System (HEC-RAS) models for the post-dam removal and culvert-retrofit conditions. The referenced models were used to evaluate fish passage and flood risk along the simulated reaches in the various states simulated. The field survey data consists of Global Navigation Satellite System-derived orthometric heights in the North American Vertical Datum of 1988 and projected horizontal coordinates in the North American Datum of 1983 State Plane for the respective State the sites are located in.
Data and hydraulic models at selected dam-removal and culvert-retrofit sites in the northeastern United States
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This dataset contains U.S. Geological Survey (USGS) developed hydraulic models, USGS developed hydrology data, US Fish and Wildlife Service (USFWS) supplied data (topography/bathymetry and structure data for pre removal conditions), and USGS field surveyed data at nine dam-removal and culvert-retrofit sites in the northeastern United States (Olson and Simeone, 2021). The hydrology, the USFWS supplied and USGS field data are used to support the development of one-dimensional and two-dimensional U.S. Army Corps of Engineer (USACE) Hydrologic Engineering Center’s River Analysis System (HEC-RAS) models for both the pre- and post-dam removal and culvert-retrofit conditions. The referenced models were used to evaluate fish passage and flood risk along the simulated reaches in the various states simulated. The HEC-RAS hydraulic models include data for the models and model output files. This data release consists of four child items and a file listing the name and location of each of the modeled areas and purpose of each model (file “Site_Details.xlsx”). This data release supports the following publication which contains further information and descriptions of the data contained in this release: Olson, S.A., and Simeone, C.E., 2021, Hydraulic modeling at selected dam-removal and culvert-retrofit sites in the northeastern United States: U.S. Geological Survey Scientific Investigations Report 2021–5056, 37 p., https://doi.org/10.3133/sir20215056.
Data and hydraulic models at selected dam-removal and culvert-retrofit sites in the northeastern United States
공공데이터포털
This dataset contains U.S. Geological Survey (USGS) developed hydraulic models, USGS developed hydrology data, US Fish and Wildlife Service (USFWS) supplied data (topography/bathymetry and structure data for pre removal conditions), and USGS field surveyed data at nine dam-removal and culvert-retrofit sites in the northeastern United States (Olson and Simeone, 2021). The hydrology, the USFWS supplied and USGS field data are used to support the development of one-dimensional and two-dimensional U.S. Army Corps of Engineer (USACE) Hydrologic Engineering Center’s River Analysis System (HEC-RAS) models for both the pre- and post-dam removal and culvert-retrofit conditions. The referenced models were used to evaluate fish passage and flood risk along the simulated reaches in the various states simulated. The HEC-RAS hydraulic models include data for the models and model output files. This data release consists of four child items and a file listing the name and location of each of the modeled areas and purpose of each model (file “Site_Details.xlsx”). This data release supports the following publication which contains further information and descriptions of the data contained in this release: Olson, S.A., and Simeone, C.E., 2021, Hydraulic modeling at selected dam-removal and culvert-retrofit sites in the northeastern United States: U.S. Geological Survey Scientific Investigations Report 2021–5056, 37 p., https://doi.org/10.3133/sir20215056.
Culvert Verification Images for Elevation-Derived Hydrography in the Upper Shawsheen River Basin, Massachusetts
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This dataset consists of culvert verification images from site visits to confirm hydrologic connection in areas of uncertainty in U.S. Geological Survey 3D Elevation Program (3DEP) lidar digital elevation models (DEM) and aerial leaf off orthoimagery to observe ground conditions in the Upper Shawsheen River Basin, Massachusetts.
Archive of Hydraulic and Hydrologic Models Used in the Stoney Brook Watershed in Carlton and St. Louis Counties, Minnesota, 2008–2024.
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The U.S. Geological Survey (USGS), in cooperation with the Fond du Lac Band of Lake Superior Chippewa (FDLB), Minnesota, analyzed the hydrologic and hydraulic conditions within the Stoney Brook watershed. The Stoney Brook watershed covers an area of 100.8 square miles in Carlton and St. Louis counties with most of the watershed within the Fond du Lac Reservation. Wild rice, which is harvested by the FDLB, naturally grows in the lakes on the Fond du Lac Reservation and is susceptible to damage from increased water-levels after substantial rainfall events. Channel modifications and frequency rainfall events were simulated to assess lake level conditions that could mitigate potential damages to the wild rice yields. The channel modifications were also used to evaluate options for improving conveyance and floodplain storage in the watershed. The study area consists of 77.9 square miles of the watershed with the downstream boundary located 2.4 miles downstream from the USGS streamgage Stoney Brook at Pine Drive near Brookston, Minn. (USGS station 04021520; U.S. Geological Survey, 2023). A hydrologic model was used to simulate precipitation runoff and outflow hydrographs from delineated subwatersheds in the Stoney Brook watershed. A two-dimensional hydraulic model was used to simulate streamflows, volume accumulation, lake water-levels, and inundation duration and depths. The hydrologic model was developed using Hydrologic Engineering Center–Hydrologic Modeling System (HEC–HMS) computer program (version 4.3; U.S. Army Corps of Engineers, 2022) for the simulation of single rainfall events. A total of 14 subwatersheds were used in the HEC–HMS model to represent the 77.9 square mile study area within the Stoney Brook watershed. The HEC–HMS model was calibrated using streamflow time series from the USGS streamgage Stoney Brook at Pine Drive near Brookston, Minn. (USGS station 04021520; U.S. Geological Survey, 2023) to two high-flow events: April 21–30, 2008, and June 19–July 1, 2012. The calibrated HEC–HMS model used 24-hour duration design rainfall events consisting of precipitation frequencies of 1-, 2-, 5-, and 10-year recurrence intervals (100-, 50-, 20-, and 10-percent annual exceedance probabilities) for the simulation of channel modification alternatives in the hydraulic model. The hydraulic model was developed using Hydrologic Engineering Center–River Analysis System (HEC–RAS) computer program (version 6.4.1; U.S. Army Corps of Engineers, 2023). The HEC–RAS model was calibrated using streamflow time series from the USGS streamgage Stoney Brook at Pine Drive near Brookston, Minn. (USGS station 04021520; U.S. Geological Survey, 2023) to two high-flow events: April 21–30, 2008, and June 19–July 1, 2012. Channel modification alternatives were developed in the HEC–RAS model as terrain modifications and were intended to improve flow conveyances and storage and wetland coverage within the floodplain. These terrain modifications include breaches in the bank spoils, reconnecting the original channel to Stoney Brook, and clearing the original channel of soil deposition and debris. The HEC–HMS with HEC–RAS scenarios were simulated using flows from 1-, 2-, 5-, and 10-year recurrence interval (100-, 50-, 20-, and 10-percent annual exceedance probabilities) precipitation events distributed over a 24-hour duration. The HEC–RAS model was used to determine differences in hydraulic characteristics such as: peak water-surface elevations in the lakes, peak flows, volume accumulation, and inundation durations and depths. This data release contains a zip file that includes the HEC–HMS and HEC–RAS model run files, model performance and calibration metrics, and model outputs used in this study. References Cited: U.S. Army Corps of Engineers, 2018, Hydrologic Engineering Center Hydrologic Modeling System HEC–HMS 4.3. User’s Manual: U.S. Army Corps of Engineers software release, accessed October 10, 2022, at
Algorithms and data for modeling daily estimates of diffuse and preferential groundwater recharge at U.S. Geological Survey Climate Response Network Wells in the Delaware River Basin, USA
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The files and folders in this data release contain the input and output files and MATLAB algorithms used for simulations described in the associated journal article (https://doi.org/10.1007/s10040-024-02868-x). The algorithms implement a data-driven, mechanistic model of vertical infiltration through the unsaturated zone and recharge to the water table that is developed from water-balance concepts. The model of infiltration and recharge is defined in terms of observed states (such as, the water-table altitude) and unobserved states (such as, fluxes through the unsaturated zone and recharge to the water table) and includes both diffuse and preferential flow through the unsaturated zone to the water table. Estimates of the daily contributions to recharge at the water table from diffuse and preferential flow are performed by interpreting daily time-series records of observations of water-table altitude and meteorological inputs (such as, the liquid precipitation rate, snowmelt rate, and the Potential Evapotranspiration (PET) rate). The modeling approach used here is an extension of concepts of modeling infiltration and rapid recharge originally presented in Shapiro and Day-Lewis (2021) https://doi.org/10.1029/2020WR029110 and Shapiro and others (2022) (https://doi.org/10.1111/gwat.13206). The model of infiltration and recharge to the water table is applied to daily records available at 32 U.S. Geological Survey (USGS) Climate Response Network (CRN) wells located in the Delaware River Basin (DRB) in the eastern United States from January 1, 2005, through December 31, 2021. The daily water-table altitude and the meteorological records described in the associated journal article (https://doi.org/10.1007/s10040-024-02868-x) are included as input files to the MATLAB algorithms described in this data release.
Algorithms and data for modeling daily estimates of diffuse and preferential groundwater recharge at U.S. Geological Survey Climate Response Network Wells in the Delaware River Basin, USA
공공데이터포털
The files and folders in this data release contain the input and output files and MATLAB algorithms used for simulations described in the associated journal article (https://doi.org/10.1007/s10040-024-02868-x). The algorithms implement a data-driven, mechanistic model of vertical infiltration through the unsaturated zone and recharge to the water table that is developed from water-balance concepts. The model of infiltration and recharge is defined in terms of observed states (such as, the water-table altitude) and unobserved states (such as, fluxes through the unsaturated zone and recharge to the water table) and includes both diffuse and preferential flow through the unsaturated zone to the water table. Estimates of the daily contributions to recharge at the water table from diffuse and preferential flow are performed by interpreting daily time-series records of observations of water-table altitude and meteorological inputs (such as, the liquid precipitation rate, snowmelt rate, and the Potential Evapotranspiration (PET) rate). The modeling approach used here is an extension of concepts of modeling infiltration and rapid recharge originally presented in Shapiro and Day-Lewis (2021) https://doi.org/10.1029/2020WR029110 and Shapiro and others (2022) (https://doi.org/10.1111/gwat.13206). The model of infiltration and recharge to the water table is applied to daily records available at 32 U.S. Geological Survey (USGS) Climate Response Network (CRN) wells located in the Delaware River Basin (DRB) in the eastern United States from January 1, 2005, through December 31, 2021. The daily water-table altitude and the meteorological records described in the associated journal article (https://doi.org/10.1007/s10040-024-02868-x) are included as input files to the MATLAB algorithms described in this data release.
Supporting Datasets for Hydrogeological Characterization of Area B, Fort Detrick, Maryland
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This dataset includes raw hydrologic data (streamflow data, groundwater level data, precipitation data) and geochemical data (geochemical results, fluorometric monitoring results) collected from January 1st, 2000 to December 31st, 2020 This dataset also includes interpreted results described in a U.S. Geological Survey Scientific Investigation Report. This report describes how the hydrologic data were analyzed to calculate a water budget and how the geochemical data were interpreted.
Supporting Datasets for Hydrogeological Characterization of Area B, Fort Detrick, Maryland
공공데이터포털
This dataset includes raw hydrologic data (streamflow data, groundwater level data, precipitation data) and geochemical data (geochemical results, fluorometric monitoring results) collected from January 1st, 2000 to December 31st, 2020 This dataset also includes interpreted results described in a U.S. Geological Survey Scientific Investigation Report. This report describes how the hydrologic data were analyzed to calculate a water budget and how the geochemical data were interpreted.