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California's Central Valley ranges from the mountain fronts toward a central trough, mainly defined by the San Joaquin and Sacramento Rivers, and the relative distance from trough to valley edges is of interest. This data release provides supplemental data for the USGS Professional Paper 1766, titled Groundwater Availability of the Central Valley Aquifer, California and provides geographic information systems (GIS) datasets containing this relative distance grid and supporting data. Included in this data release are shapefiles used to define the Central Valley study area, the Central Valley trough, and a relative distance grid that may be used to spatially define other GIS data into zones between the edge of the...
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This topobathymetric digital elevation model (TBDEM) mosaic represents the topography and bathymetry for the Milwaukee River Estuary in Milwaukee, Wisconsin and adjacent terrestrial and Lake Michigan nearshore coastal areas. The TBDEM was produced in support of modeling and for developing a physical habitat framework to help with understanding the effects from multidirectional currents and seiche effects associated with the mixing of river flows with Lake Michigan backwater. The TBDEM mosaic is built off existing terrestrial, nearshore, and estuary frameworks developed for other areas around the Great Lakes and the Milwaukee River Harbor. Ranging from 2008-2015, land elevations derived from lidar and historic topographic...
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Using the horizontal-to-vertical spectral-ratio (HVSR) method, we infer regolith thickness (i.e., depth to bedrock) throughout the Farmington River Watershed, CT, USA. Between Nov. 2019 and Nov. 2020, MOHO Tromino Model TEP-3C (MOHO, S.R.L.) three-component seismometers collected passive seismic recordings along the Farmington River and the upstream West Branch of Salmon Brook. From these recordings, we derived resonance frequencies using the GRILLA software (MOHO, S.R.L.), and then inferred potential regolith thicknesses based on likely shear wave velocities, Vs, intrinsic to the underlying sediment. Three potential shear wave velocities (Vs = 300m/s, 337m/s, 362 m/s) were considered for Farmington River watershed...
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As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey developed a suite of high-resolution lidar-derived raster datasets for the Greater Raleigh Area, North Carolina, using repeat lidar data from the years 2013, 2015, and 2022. These datasets include raster representations of digital elevation models (DEMs), DEM of difference, the ten most common geomorphons (i.e. geomorphologic feature), lidar point density, and positive topographic openness. Raster footprints vary by year based on extent of lidar data collection. All files are available as Cloud Optimized GeoTIFF, meaning they are formatted to work on the cloud or can be directly downloaded. These metrics have been...
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The Hydrology Point Feature Class defines natural/semi natual point hydrographic features (springs, seeps, tanks, guzzlers…) on RSL. The data for this point feature class was provided by the refuge.
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This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Santa Clara River Valley South Bay (SCVSB). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries...
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This dataset, termed "GAGES II", an acronym for Geospatial Attributes of Gages for Evaluating Streamflow, version II, provides geospatial data and classifications for 9,322 stream gages maintained by the U.S. Geological Survey (USGS). It is an update to the original GAGES, which was published as a Data Paper on the journal Ecology's website (Falcone and others, 2010b) in 2010. The GAGES II dataset consists of gages which have had either 20+ complete years (not necessarily continuous) of discharge record since 1950, or are currently active, as of water year 2009, and whose watersheds lie within the United States, including Alaska, Hawaii, and Puerto Rico. Reference gages were identified based on indicators that they...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, Alaska, All 50 states, Arizona, Arkansas, All tags...
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As the urban landscape and municipal infrastructure in U.S. cities changes in response to socio-economic conditions, so does the manner in which water cycles through these cities. The modulation of hydrologic processes (e.g., runoff, infiltration, evapotranspiration) by land use and land cover has implications for resilience, sustainability, and optimizing municipal service functions. The U.S. Geological Survey and U.S. Environmental Protection Agency, Office of Research and Development, collaborated to address the question of how Legacy (standard) and recent (Urban Greening Program or "Green") vacant lots – each the product of a certain approach to the widespread practice of demolition – differ in terms of how...
The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southwestern Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
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 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 Elk Creek at Augusta, Montana, that were based on methods described by Sando and McCarthy (2018). Sando, S.K., and McCarthy, P.M., 2018, Methods for peak-flow frequency analysis and reporting for streamgages in or near Montana based...
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The Highway-Runoff Database (HRDB) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway runoff on the Nation's receiving waters (Granato and Cazenas, 2009; Granato, 2013; Granato and others, 2018). The HRDB was assembled by using a Microsoft Access database application to facilitate use of the data and to calculate runoff-quality statistics with methods that properly handle censored-concentration data. The HRDB was first published as version 1.0 in cooperation...
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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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Parameter values for the Precipitation Runoff Modeling System (PRMS) using the National Hydrologic Modeling (NHM) infrastructure. The contents of the attached zip folder are a direct download from the USGS bitbucket repository titled National Hydrologic Model Parameter Database (NhmParamDb) (https://my.usgs.gov/bitbucket/projects/MOWS/repos/nhmparamdb/browse). The NhmParamDb is stored using a Git version control system, which tracks modifications to the master dataset through 'commits'. Each commit has a unique code to allow for retroactive identification of any given component of the repository. The specific attributes of the download contained in this release are: Date: May 8, 2017 Commit: 6ccc41d5688 Filename:...
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The U.S. Geological Survey, in cooperation with the Harris‐Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Brazoria County Groundwater Conservation District, and Lone Star Groundwater Conservation District, has produced this dataset of water-level changes and approximate water-level altitudes in the Chicot, Evangeline, and Jasper aquifers in the Houston-Galveston region, Texas. This dataset shows current-year (2015-2016) water-level changes for each aquifer, 5-year (2011-2016) water-level changes for each aquifer, long-term (1990-2016 and 1977-2016) water-level changes for the Chicot and Evangeline aquifers, and long-term (2000-2016) water-level changes for the Jasper aquifer. The...
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This dataset is the result of measurements of groundwater levels in the Equus Beds aquifer near Wichita, Kansas, in January 2016. Potentiometric surfaces are interpolated for the shallow and deep parts of the aquifer, and rasters of the potentiometric surfaces are included in this data release. Wells were classified as being screened in the shallow or deep parts of the aquifer based on station name (some wells have a layer identifier in the station name) or, if no indication of aquifer layer was given in the station name, based on the depth of the well; wells with depths less than 80 feet below land surface were classified as shallow and wells with depths of 80 feet or deeper were classified as deep. Contours with...
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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....
map background search result map search result map GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow Hydrology point features, Ruby Lake NWR Water-Level Measurement Data Collected during 2015-2016 and Approximate Long-Term Water-Level Altitude Changes of Wells Screened in the Chicot, Evangeline, and Jasper Aquifers, Houston-Galveston Region, Texas Groundwater Levels in the Equus Beds Aquifer near Wichita, Kansas, January 2016 (deep contours shapefile) National Hydrologic Model Parameter Database: 2017-05-08 Download 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) Peak-flow frequency analyses for Elk Creek at Augusta, Montana, based on data through water year 2018 Highway-Runoff Database (HRDB) Version 1.1.0 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 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) Hydrologic and soil data associated with selected vacant deconstruction lots in St. Louis, Missouri, 2018-2020 Topobathymetric Digital Elevation Model (TBDEM) of the Milwaukee River Estuary, Milwaukee, Wisconsin and adjacent terrestrial and Lake Michigan nearshore coastal areas SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southwestern United States, 2012 Base Year (ver. 2.0, October 2020) Santa Clara River Valley South Bay Monthly BCMv8 Lidar-derived rasters of point density, elevation, and geomorphological features for 2013, 2015, and 2022 for the Greater Raleigh Area, North Carolina WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Passive seismic depth to bedrock data collected along streams of the Farmington River watershed, CT, USA Relative distance of California's Central Valley from trough to valley edge and supporting data Hydrologic and soil data associated with selected vacant deconstruction lots in St. Louis, Missouri, 2018-2020 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) Passive seismic depth to bedrock data collected along streams of the Farmington River watershed, CT, USA Hydrology point features, Ruby Lake NWR Topobathymetric Digital Elevation Model (TBDEM) of the Milwaukee River Estuary, Milwaukee, Wisconsin and adjacent terrestrial and Lake Michigan nearshore coastal areas Groundwater Levels in the Equus Beds Aquifer near Wichita, Kansas, January 2016 (deep contours shapefile) Lidar-derived rasters of point density, elevation, and geomorphological features for 2013, 2015, and 2022 for the Greater Raleigh Area, North Carolina Santa Clara River Valley South Bay Monthly BCMv8 WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Water-Level Measurement Data Collected during 2015-2016 and Approximate Long-Term Water-Level Altitude Changes of Wells Screened in the Chicot, Evangeline, and Jasper Aquifers, Houston-Galveston Region, Texas Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 Relative distance of California's Central Valley from trough to valley edge and supporting 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 SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southwestern United States, 2012 Base Year (ver. 2.0, October 2020) Groundwater data, predictor variables, and rasters used for predicting redox conditions in the glacial aquifer, northern continental United States National Hydrologic Model Parameter Database: 2017-05-08 Download GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow Highway-Runoff Database (HRDB) Version 1.1.0 Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)