Filters: Tags: land use change (X) > partyWithName: Water Resources (X)
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The data in this release describe various aspects of the impacts of urbanization on evapotranspiration at local to global spatial scales. This data release is associated with the publication of these results in a concurrent journal article. Analyses in the journal article included comparisons between urban and non-urban ET in a variety of climate settings and spatial scales. Urbanization has been shown to locally increase the nighttime temperatures creating urban heat islands, which partly arise due to evapotranspiration (ET) reduction. It is unclear how the direction and magnitude of the change in local ET due to urbanization varies globally across different climatic regimes. This knowledge gap is critical, both...
Categories: Data;
Tags: Land Use Change,
Remote Sensing,
USGS Science Data Catalog (SDC),
World,
evapotranspiration,
The Best Management Practices Statistical Estimator (BMPSE) 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 about the performance of structural best management practices for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway and urban runoff on the Nation's receiving waters (Granato 2013, 2014; Granato and others, 2021a,b). The BMPSE was used to calculate statistics and create input files for fitting the trapezoidal distribution to data from studies documenting the performance of individual structural stormwater...
Categories: Software;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practice (BMP),
Ecology,
Environmental Health,
Event Mean Concentration,
Federal Highway Administration,
Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2018
This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2018), with the data processed through September 30, 2018. The primary data for water year 2018 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2018) and processed following the guidelines documented in Over and others (2010). Daily potential evapotranspiration (PET) is computed from average daily air temperature, average daily dewpoint temperature, daily total wind speed, and daily total solar radiation, and disaggregated to hourly PET by using the...
The U.S. Geological Survey (USGS) developed a systematic, quantitative approach to prioritize candidate basins that can support the assessment and forecasting objectives of the major USGS water science programs. Candidate basins were the level-4 hydrologic units (HUC4) with some of the smaller HUC4s being combined (hereafter referred to as modified HUC4 basins). Candidate basins for the contiguous United States (CONUS) were grouped into 18 hydrologic regions. Thirty-three geospatial variables representing land use, climate change, water use, water-balance components, streamflow alteration, fire risk, and ecosystem sensitivity were initially considered to assist in ranking candidate basins for study. The two highest...
Categories: Data;
Tags: Climatology,
Ecology,
Hydrology,
Integrated Water Science Basins,
Land Use Change,
This dataset consists of a series of rasters covering the conterminous United States. Each raster is a one kilometer (km) grid for 18 selected Census of Agriculture statistics mapped to land use pixels for the time period 1950 to 2012. A supplemental set of 9 statistics mapped at the entire county level are also provided as 1-km rasters. The rasters are posted as ArcGIS grids. The statistics represent values for crops, livestock, irrigation, fertilizer, and manure usage. Most statistics are mapped for all 14 Census of Agriculture reporting years in that time frame: 1950, 1954, 1959, 1964, 1969, 1974, 1978, 1982, 1987, 1992, 1997, 2002, 2007, and 2012.
Categories: Data;
Types: Citation;
Tags: Census of Agriculture,
Conterminous U.S.,
Cropland,
Crops,
Dasymetric mapping,
This product consists of time-series calculations of anthropogenic characteristics derived for 16 data themes for multiple scales covering the conterminous United States. The characteristics are those which (a) have consistent data sources, and (b) have the potential to affect the water quality of streams and rivers. All 16 data themes are provided for Hydrologic Unit Code level-10 (HUC-10) boundaries (n = 15,458). Additionally, measures of land use and imperviousness are provided for U.S. Environmental Protection Agency (USEPA) Level 4 ecoregions (n = 967) and for U.S. counties (n = 3,109). The data may be scaled up to broader areas; that is, HUC-10 data may be scaled up to HUC-8, 6, 4, or HUC-2 areas, Level 4...
Categories: Data;
Tags: Atmospheric Deposition,
Census of Agriculture,
Conservation Practices,
Conterminous US,
Crop Reserve Program,
These shapefiles represent the spatial distribution of mean annual water-budget components, in inches, for the Island of Maui, Hawaii for a set of eight future climate and land-cover scenarios. The future climate conditions used in the water-budget analyses were derived from two end-of-century downscaled climate projections including (1) a projected future climate condition representative of phase 3 of the Coupled Model Intercomparison Project (CMIP3) A1B 2080-99 scenario climate described in Zhang and others (2016a, 2016b) and (2) a projected future climate condition representative of phase 5 of the Coupled Model Intercomparison Project (CMIP5) Representative Concentration Pathway 8.5 (RCP8.5) 2080-99 scenario...
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...
The GIS shapefile and summary tables provide irrigated agricultural land-use for Citrus, Hernando, Pasco, and Sumter Counties, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field verified for 2019, crop type, irrigation system type, and primary water source used in Citrus, Hernando, Pasco, and Sumter Counties, Florida. A map image of the shapefile is provided in the attachment.
The dataset has basin characteristics (drainage area, land use, and reservoir storage), parameters for a relation between streamflow and velocity, and travel time metrics at 100 gaged sites in the southeastern United States.
Categories: Data;
Tags: Hydrology,
Land Use Change,
USGS Science Data Catalog (SDC),
United States,
Water Quality,
Tree growth (annual tree ring measurements) and plant community composition data of tidal freshwater forested wetlands along longitudinal riverine positions (upper, lower, and stressed tidal river sites, and nearby upstream non-tidal forested floodplains) of the adjoining Pamunkey and Mattaponi Rivers, Virginia.
Additional data layers have been developed to supplement recently published information collected and developed for an investigation of shoreline erosion along the Lower Brule Reservation in Central South Dakota. The additional data layers presented in this data release include georeferenced 1965 single frame aerial photos, digitized shoreline features from the georeferenced 1965 images, digitized shoreline features from 2016 aerial imagery, and real-time kinematic surveys of shoreline features on selected reaches of the Lake Sharpe shoreline in 2018. This effort was completed by the USGS Dakota Water Science Center in cooperation with the Lower Brule Sioux Tribe, Tribal Preservation Office.
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...
From June to September 2017, the United States Geological Survey (USGS) collected a total of 116 surficial sediment and bedrock samples from abandoned mine wastepiles, ephemeral channels below wastepiles, nearby outcrops, and background areas representative of the undisturbed lithology on the western slope of the northern half of the Oquirrh Mountain Range, approximately 20 miles southwest of Salt Lake City, Utah. The sample locations can be spatially clustered into four groups: the Bates Canyon group in the foothills below Bates Canyon; the Middle Canyon group in Middle Canyon; the Ridgeline group within the Bingham Mining District located at or near the Tooele-Salt Lake County border on the Oquirrh Mountain ridge;...
Categories: Data;
Tags: Bates Canyon,
Bingham Mining District,
Economic Geology,
Environmental Health,
Geochemistry,
Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Crops were estimated via satellite imagery or verified in situ for 2014-2018, based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2015 and 2017 as well as the Landsat and Sentinel2 imagery collections accessed via the U.S. Geological Survey LandsatLook Viewer (https://landlook.usgs.gov/landlook/). Satellite images were also used to observe crop type, crop growing season, crop condition, and irrigation system characteristics. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating...
Categories: Data;
Tags: Arizona,
Hualapai Valley Groundwater Basin,
Land Use Change,
USGS Science Data Catalog (SDC),
Water Resources,
This metadata record covers 18 comma delimited files that support the USGS Scientific Investigations Report 2018-5022 Manure and Fertilizer Inputs to Land in the Chesapeake Bay Watershed, 1950-2014 by Jennifer Keisman, Olivia Devereux, Andrew LaMotte, Andrew Sekellick, and Joel Blomquist. The data were created by running scenarios through the Chesapeake Bay Program Partnership Phase 5.3.2 Watershed Model for years between 1985 and 2014. Scenarios include data with the reported Best Management Practice (BMP) for each year, as well as scenarios with no BMPs for each year. Data include summaries of the amount of land use change and animal BMPs reported as implemented for each year. Data originated with the Chesapeake...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BMP,
Best Management Practice,
Chesapeake Bay,
Geography,
Land Use Change,
Anthropogenic impervious surfaces affect hydrology, water quality, and ecological health and are widely studied. Previous studies have been limited, however, by a lack of consistent representation of imperviousness nationally as a time series prior to 2001. This product presents estimated imperviousness at 60-meter spatial resolution, for the time periods 1974, 1982, 1992, 2002, and 2012. The mapping was derived by comparing imperviousness from the National Land Cover Database (NLCD) 2011 to national land use from the 2012 U.S. Geological Survey NAWQA Wall-to-wall Anthropogenic Land Use Trends (NWALT) product. The NWALT land use product includes a series of 60-m national rasters, containing 18 land use classes,...
Types: Citation;
Tags: Coefficients of imperviousness,
Geography,
Imperviousness,
Land Use Change,
Land use,
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;...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Geomorphology,
Geomorphology,
Hydrology,
Land Use Change,
Raleigh, North Carolina,
These data are the survey results from a five-mile section of the Platte River at, and upstream of the Nebraska Army National Guard Camp Ashland Training Site including the side channel chutes on the east bank. All survey data were collected along planned transect lines that were spaced 492.125 US survey feet apart beginning near the mouth of the Elkhorn River and ending near the U.S. Highway 6 bridge. An effort was made to get complete elevation data for each transect from top of bank to top of bank. Survey grade Global Navigation and Satellite Systems (GNSS) receiving antennas connected to a real time network (RTK high precision network https://hprtk.net) were used to measure elevation along the transects, at...
Categories: Data;
Tags: Ashland East,
Elkhorn,
GPS measurement,
Geomorphology,
Global Positioning System (GPS) observations,
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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