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There are over 10,000 hydrothermal features in Yellowstone National Park (YNP), where waters have pH values ranging from about 1 to 10 and surface temperatures up to 95 °C. Active geothermal areas in YNP provide insight into a variety of processes occurring at depth, such as water-rock and oxidation-reduction (redox) reactions, the formation of alteration minerals, and microbial (thermophile) metabolism in extreme environments. Investigations into the water chemistry of YNP hot springs, geysers, fumaroles, mud pots, streams, and rivers have been conducted by the U.S. Geological Survey (USGS) and other earth-science organizations and academic institutions since 1888 (Gooch and Whitfield, 1888). More recently, USGS...
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This data release includes multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, used to evaluate the potential for efficient reach-scale mapping of river bathymetry using Uncrewed Aircraft Systems (UAS). The images were acquired by a MicaSense RedEdge-MX Dual Camera deployed from a Trinity F90 vertical take-off and landing (VTOL) UAS. The 4 km long study area along the Sacramento River was subdivided into three distinct but adjacent areas of interest (AOIs) and image data were collected from one AOI each day between September 14 and 16, 2021. The image data were ortho-rectified using Quantum-Systems QBase 3D and Agisoft Metashape software and saved as GeoTIFF...
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This data release contains the associated data described in the related primary publication, “Predicting Flood Damage Probability Across the Conterminous United States” (Collins et al. [2022], see Related External Resources section). Publicly available geospatial datasets and random forest algorithms were used to analyze the spatial distribution and underlying drivers of flood damage probability caused by excessive rainfall and overflowing water bodies across the conterminous United States. Datasets contain input files for predictor and response variables used in the analysis and output files of flood damage probabilities generated from the analysis.
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The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's mean maximum and minimum January temperature from PRISM 1981-2010 4km data (resampled to 30m resolution). These values, which cover the conterminous United States, will be served in the National StreamStats Fire-Hydrology application to describe delineated watersheds (https://streamstats.usgs.gov/). The StreamStats application provides access to spatial analysis tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, to retrieve basin...
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Monroe County, in southeastern West Virginia, hosts world-class karst within carbonate units of Mississippian and Ordovician age. There are at least 412 known caves in the county. Location data for these caves were collected from the West Virginia Speleological Survey (WVASS) Bulletin 22 (Dasher, 2019). Point features were created in ArcGIS Pro for each cave location and were used to make a point density raster. This raster displays the number of cave points per square kilometer.
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, that were based on methods described by Sando and McCarthy (2018). Citation: Sando, S.K., and McCarthy, P.M.,...
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The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's percent forested land cover from the National Land Cover Dataset (NLCD) 2016 data (land cover values 41-43). These values, which cover the conterminous United States at a scale of 30m pixel size, will be served in the National StreamStats Fire-Hydrology application to describe delineated watersheds ( https://streamstats.usgs.gov/ ). The StreamStats application provides access to spatial analysis tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate...
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As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey is assessing streambank erosion potential in selected stream reaches throughout the Greater Raleigh metropolitan area. Rapid field measurement techniques were used to assess streambank stability at 124 stream segments between January and March 2022. Field data were collected using the Bank Erosion Hazard Index (BEHI) and Near Bank Stress (NBS) assessment methods (Rosgen, 2001; Rosgen and others, 2008) as well as the Rapid Geomorphic Assessment (RGA) method (Simon and others, 2007). This Data Release contains a dataset with all stream site information, field measurements, and streambank stability assessment results;...
This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater flows, concentrations, and loads to be above user-selected water-quality goals and the potential effectiveness of mitigation measures to reduce such risks. In SELDM, three treatment variables, hydrograph extension, runoff volume reduction, and water-quality treatment are modeled by using the trapezoidal distribution and the rank...
This data release contains input data used in model development and TIF raster files used to predict the probability of low dissolved oxygen (DO) and high dissolved iron (Fe) in groundwater within the glacial aquifer system in the northern continental United States. Input data include measured DO and Fe concentrations at groundwater wells, and associated predictor variable data. The probability of low DO and high Fe was predicted using boosted regression tree methods using the gbm package in R (v. 4.0.0) in RStudio (v. 1.2.5042). The response variables for individual models were the occurrence of: (1) DO ≤0.5 mg/L, (2) DO ≤2 mg/L, and (3) Fe >100 µg/L. Water-quality data were compiled from three sources, as described...
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The U.S. Geological Survey (USGS) in cooperation with the city of Grandview, Missouri, assessed flooding of the Little Blue River at Grandview resulting from varying precipitation magnitudes and durations, and expected land cover changes. The precipitation scenarios were used to develop a library of flood-inundation maps that included a 3.5-mile reach of the Little Blue River and tributaries within and adjacent to the city. A hydrologic model of the upper Little Blue River Basin, and hydraulic model of a selected study reach of the Little Blue River and tributaries were constructed to assess streamflow magnitudes associated with simulated precipitation amounts and the resulting flood-inundation conditions. The...
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These data depict the National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1) flowline representation of the National Wild and Scenic Rivers System throughout the conterminous United States as of 2018. U.S. Forest Service geospatial data on National Wild and Scenic River segments (USFS WSR Segment) from 3/1/2016 were joined to the NHDPlusV2.1 to create the Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1 (wsr_nhdpv2.1) data. To ensure these data correctly represented the NHDPlusV2.1 flowline delineation of the National Wild and Scenic Rivers System, each wsr_nhdpv2.1 river segment was examined against the USFS WSR Segment data to check for duplication and/or omission of Wild and Scenic River segments. Spatial...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, Arizona, Arkansas, California, Colorado, All tags...
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, that were based on methods described by Sando and McCarthy (2018).
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Water analyses are reported for 66 samples collected from numerous thermal and non-thermal (rivers and streams) features in the southwestern areas of Yellowstone National Park (YNP) during 2009, 2017, and 2018. Water samples were collected from sources near Boundary Creek, Bechler River, Falls River, Mountain Ash Creek, Upper Snake River, Spirea Creek, and Lewis Lake. These water samples were collected and analyzed as part of research investigations on the chemistry of Yellowstone’s hydrothermal system and on the distribution of dissolved arsenic and mercury. Most samples were analyzed for major cations and anions, trace metals, redox species of arsenic, iron, nitrogen, and sulfur, and isotopes of hydrogen and oxygen....
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, that were based on methods described by Sando and McCarthy (2018).
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The basis for these features is U.S. Geological Survey Scientific Investigations Report 2016-5105 Flood-inundation maps for the Peckman River in the Townships of Verona, Cedar Grove, and Little Falls, and the Borough of Woodland Park, New Jersey, 2014.Digital flood-inundation maps for an approximate 7.5-mile reach of the Peckman River in New Jersey, which extends from Verona Lake Dam in the Township of Verona downstream through the Township of Cedar Grove and the Township of Little Falls to the confluence with the Passaic River in the Borough of Woodland Park, were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection. Flood profiles were simulated...
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This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al., 2014)-downscaled GFDL-CM3 Global Climate Model (GCM) for Representative Concentration Pathway (RCP) 4.5 (medium-low emissions) and 8.5 (high emissions) for hydrologic California. The LOCA climate scenarios span water years 1950 to 2099 with greenhouse-gas forcings beginning in 2006. The LOCA downscaling method has been shown to produce better estimates of extreme events and reduces the common downscaling problem of too many low-precipitation days (Pierce et al., 2014). Ten GCMs were selected from the full ensemble of models from the fifth...
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Supporting datasets for the associated journal publication "Towards reproducible environmental modeling for decision support: a worked example". Includes source codes for the version of PEST++ and MODFLOW-2005 used, the pyEMU and FloPy python modules and the driver script "eaa.py". Also included are the existing MODFLOW-2005 models supplied the Edwards Aquifer Authority
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This data release includes data-processing scripts, data products, and associated metadata for a study to model the hydrology of several hundred vernal pools (i.e., seasonal pools or ephemeral wetlands) across the northeastern United States. More information on this study is available from the project website. This data release consists of several components: (1) an input dataset and associated metadata document ("pool_inundation_observations_and_climate_and_landscape_data"); (2) an annotated R script which processes the input dataset, performs inundation modeling, and generates model predictions ("annotated_R_script_for_pool_inundation_modeling.R"); and (3) a model prediction dataset and associated metadata document...
map background search result map search result map Flood inundation depth for a gage height of 4.0 ft at gage 01389534, Peckman River at Ozone Avenue at Verona, New Jersey (pecknj_03) Water chemistry data for selected hot springs and rivers in Southwest Yellowstone National Park, Wyoming Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1 Inundation observations and inundation model predictions for vernal pools of the northeastern United States Towards reproducible environmental modeling for decision support: a worked example Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 Groundwater data, predictor variables, and rasters used for predicting redox conditions in the glacial aquifer, northern continental United States Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) Geospatial data and hydraulic-model archive for evaluation of flood-inundation maps developed for a reach of the Little Blue River at Grandview, Missouri Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2 Pre-computed mean January maximum and minimum temperature rasters from PRISM 1981-2010 from the conterminous United States, for the StreamStats Fire-Hydrology application 2021 Precomputed Percent Forested-Area Rasters Derived from NLCD 2016 in Support of the StreamStats Fire-Hydrology Application, Conterminous United States Density raster of caves in Monroe County, West Virginia Associated Data for Predicting Flood Damage Probability Across the Conterminous United States Water-Chemistry and Isotope Data for Selected Springs, Geysers, Streams, and Rivers in Yellowstone National Park, Wyoming Peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 PeakFQ version 7.3 specifications file for peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022 Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 Future Climate and Hydrology from the Basin Characterization Model (BCMv8) using LOCA-downscaled Global Climate Model GFDL-CM3 Geospatial data and hydraulic-model archive for evaluation of flood-inundation maps developed for a reach of the Little Blue River at Grandview, Missouri Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 Flood inundation depth for a gage height of 4.0 ft at gage 01389534, Peckman River at Ozone Avenue at Verona, New Jersey (pecknj_03) Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022 Density raster of caves in Monroe County, West Virginia Water-Chemistry and Isotope Data for Selected Springs, Geysers, Streams, and Rivers in Yellowstone National Park, Wyoming Towards reproducible environmental modeling for decision support: a worked example Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2 Peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 PeakFQ version 7.3 specifications file for peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 Inundation observations and inundation model predictions for vernal pools of the northeastern United States Future Climate and Hydrology from the Basin Characterization Model (BCMv8) using LOCA-downscaled Global Climate Model GFDL-CM3 Groundwater data, predictor variables, and rasters used for predicting redox conditions in the glacial aquifer, northern continental United States Associated Data for Predicting Flood Damage Probability Across the Conterminous United States Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1 Pre-computed mean January maximum and minimum temperature rasters from PRISM 1981-2010 from the conterminous United States, for the StreamStats Fire-Hydrology application 2021 Precomputed Percent Forested-Area Rasters Derived from NLCD 2016 in Support of the StreamStats Fire-Hydrology Application, Conterminous United States Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)