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Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences...
This database includes water quality records compiled at the request of the Bureau of Land Management for the Uinta Basin in Utah and Colorado. All data contained within this database are publically available via the United States Geological Survey’s National Water Information System (NWIS) database (available at https://waterdata.usgs.gov/nwis). Data collected and provided by the states of Utah and Colorado were also analyzed, however, this data had also been submitted to, and was available in, NWIS by the time this database was compiled. This database includes all available water-quality data for the Uinta Basin. For groundwater samples this includes data up to October 24, 2014; for surface water samples this...
These datasets contain information used to compile the report (USGS OFR 2016-1137). It contains water-quality data, analytical results of field blanks, and analytical results for environmental and replicate sample sets for surface-water samples collected during water years 2012 and 2013 for the Triangle Area Water Supply Monitoring Program (TAWSMP). The water-quality data contained in appendix 1 are field paramters and the analytical results for the constituents analyzed for the project. Appendix 2 contains the results of the field blanks, and the results for the environmental and replicate sample sets are presented in appendix 3.
Types: Citation;
Tags: Chatham County,
Durham County,
North Carolina,
Orange County,
USGS Science Data Catalog (SDC),
This product is a series of six national 1-kilometer (km) raster datasets, for five year intervals between 1985 and 2010, representing USGS Water Use "Total Fresh Water Withdrawals", allocated to areas of land use representing anthropogenic use. Pixels representing anthropogenic uses (urban, agriculture, and mining land uses) are derived from the NAWQA Wall-to-wall Anthropogenic Land-use Trends (NWALT) product (Falcone, 2015), a series of decadal national raster datasets for the period 1974-2012. The raster datasets created here are intended as a source of information for estimating water use for watersheds, at the scale of HUC12 watersheds and coarser. Units are millions of gallons per day (mgd) per square km.
Types: Citation;
Tags: Anthropogenic water use,
Conterminous U.S.,
Dasymetric mapping,
Freshwater withdrawals,
Land use,
The dataset contains the environmental data collected for the Triangle Area Water Supply Monitoring Project. The data are from the samples collected during routine and storm-runoff sampling events during October 2011 through September 2013. Several study sites contained in this dataset were sampled for other USGS projects during the same time frame. Unless the samples at these sites were collected in conjunction with the Triangle Area Water Supply Monitoring Project, the data for other projects at these sites are not included in this dataset.
The U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, and Lone Star Groundwater Conservation District created this dataset that provides water‐level measurements, altitudes, and changes in water-level altitudes in the Chicot, Evangeline, and Jasper aquifers in the Houston‐Galveston region, Texas. The dataset shows current-year (2016-17) water-level altitudes, depth to water, and 1-year (2016-17) water-level changes of select wells screened in the Chicot, Jasper, or Evangeline aquifers. The water‐level measurements in the dataset are built upon and stored in the National Water Information System: Web Interface, groundwater information,...
Types: Citation;
Tags: Brazoria County,
Chambers County,
Chicot aquifer,
Evangeline aquifer,
Fort Bend County,
Mendenhall and others (1916) published depth-to-water data compiled in 1910 for all known wells in the San Joaquin Valley, California. Data for the 3,429 wells having depth-to-water of greater than zero feet were used to construct an interpolated depth-to-water surface for the entire SJV. This map represents groundwater levels in approximately 1910, prior to extensive development of the groundwater system. A depth-to-water contour map with contour lines of 5, 10, 15, and 25 meters below land surface was then drawn from this raster surface.
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Agriculture,
ArcGIS,
California,
Central Valley,
Depth-to-Water,
In this study, we combined two actual evapotranspiration datasets (ET), one obtained from a root zone water balance model and another from an energy balance model, to partition annual ET into green (rainfall-based) and blue (surface/groundwater) water sources. Time series maps of green water ET (GWET) and blue water ET (BWET) are produced for the conterminous United States (CONUS) over 2001–2015.
This metadata record describes monthly input and output data covering the period 1900-2015 for a water-balance model described in McCabe and Wolock (2011). The input datasets are precipitation (PPT) and air temperature (TAV) from the PRISM group at Oregon State University. The model outputs include estimated potential evapotranspiration (PET), actual evapotranspiration (AET), runoff (RUN) (streamflow per unit area), soil moisture storage (STO), and snowfall (SNO). The datasets are arranged in tables of monthly total or average values measured in millimeters or degrees C and then multiplied by 100. The data are indexed by the identifier PRISMID, which refers to an ASCII raster of cells in an associated file named...
This U.S. Geological Survey data release provides the data and citations for selected tables and figures in “Agriculture-A river runs through it-The connections between agriculture and water quality”. This Circular is based on the National Water-Quality Assessment Project’s study of Agricultural Chemicals: Sources, Behavior, and Transport. This study focused on the connections between agriculture and water quality by examining multiple components of the hydrological system within agricultural areas to improve the understanding of how agricultural chemicals are transported into and through streams and groundwater. These data support the following publication: Capel, P.D., McCarthy, K.A., Coupe, R.H., Grey, K.M.,...
This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The Clean and Plentiful Water category in this web service includes layers illustrating the ecosystems and natural resources that filter and regulate water, the need or demand for clean and plentiful water, the impacts associated with water quality, and factors that place stress on water quality and supply. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States. Additional descriptive information about each attribute in this web service is located within each web...
These data are classified maps of water in the Colorado River at a discharge of approximately 227 meters squared/second in Grand Canyon from Glen Canyon Dam to Pearce Ferry in Arizona. The data are derived from interpretation of multispectral high resolution airborne imagery that was acquired in May 2013. The water classification data have the same 0.2-meter ground resolution as the imagery. These data have not undergone a statistical accuracy assessment, but they are based on methods that included image interpretation to exhaustively identify water which have been shown to produce very high classification accuracies and excellent correlation between maps of total vegetation produced by independent analysts and...
Abstract(from:https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019WR024922)The rapid growth of data in water resources has created new opportunities to accelerate knowledge discovery with the use of advanced deep learning tools. Hybrid models that integrate theory with state‐of‐the art empirical techniques have the potential to improve predictions while remaining true to physical laws. This paper evaluates the Process‐Guided Deep Learning (PGDL) hybrid modeling framework with a use‐case of predicting depth‐specific lake water temperatures. The PGDL model has three primary components: a deep learning model with temporal awareness (long short‐term memory recurrence), theory‐based feedbacks (model penalties...
Categories: Publication;
Types: Citation;
Tags: Fish,
Northeast CASC,
Rivers, Streams and Lakes,
Water, Coasts and Ice,
Wildlife and Plants,
The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed persuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Cote Blanche Hydrologic Restoration (TV-04): 2015 Land-Water Classification project for 2015. This data is used as a basemap land/water classification. It also serves as a visual tool for project managers to help them identify any obvious problems...
This metadata record describes monthly input and output data covering the period 1900-2015 for a water-balance model described in McCabe and Wolock (2011). The input datasets are precipitation (PPT) and air temperature (TAV) from the PRISM group at Oregon State University. The model outputs include estimated potential evapotranspiration (PET), actual evapotranspiration (AET), runoff (RUN) (streamflow per unit area), soil moisture storage (STO), and snowfall (SNO). The datasets are arranged in tables of monthly total or average values measured in millimeters or degrees C and then multiplied by 100. The data are indexed by the identifier PRISMID, which refers to an ASCII raster of cells in an associated file named...
Types: Citation;
Tags: Conterminous United States,
evaporation,
precipitation,
streamflow,
temperature
The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed persuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Black Bayou Hydrologic Restoration (CS-27) project for 2015. This data is used as a basemap land/water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...
A camera was deployed to monitor cyanobacterial surface blooms occurring in Willow Creek Reservoir in Heppner, Oregon. The camera was positioned above the water and facing downwards to achieve the desired contrast in colors. With the appropriate permissions from USACE, the camera was attached to a railing of the Willow Creek Dam in the northwest corner of the reservoir about 70 feet above the surface of the water. The system was powered by a solar panel and large battery. The camera was programmed to take a series of 5 pictures from different angles every 15 minutes during daylight hours. During 2015, the camera was installed on May 14 and retrieved on November 9. A polarizing lens specific to the Axis 214 camera...
Types: Citation;
Tags: Environmental Health,
Morrow County,
Oregon,
Remote Sensing,
USGS Science Data Catalog (SDC),
Water-surface elevations were recorded by submerged pressure transducers in Spring, 2015 along the upper Willamette River, Oregon, between Eugene and Corvallis. The water-surface elevations were surveyed by using a real-time kinematic global positioning system (RTK-GPS) at each pressure sensor location. These water-surface elevations were logged over a small range of discharges, from 4,600 cubic feet per second to 10,800 cubic feet per second at Harrisburg, OR. These datasets were collected for equipment calibration and validation for the National Aeronautics and Space Administration’s (NASA) Surface Water and Ocean Topography (SWOT) satellite mission. This is one of multiple datasets that will be released for this...
Groundwater-quality data were collected from 748 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water-Quality Program from May 2012 through December 2013. The data were collected from four types of well networks: principal aquifer study networks, which assess the quality of groundwater used for public water supply; land-use study networks, which assess land-use effects on shallow groundwater quality; major aquifer study networks, which assess the quality of groundwater used for domestic supply; and enhanced trends networks, which evaluate the time scales during which groundwater quality changes. Groundwater samples were analyzed for a large number of water-quality...
In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project of the National Water-Quality Program. One of the major goals of the NAWQA project is to determine how water-quality conditions change over time. To support that goal, long-term consistent and comparable monitoring has been conducted on streams and rivers throughout the Nation. Outside of the NAWQA project, the USGS and other Federal, State, and local agencies also have collected long-term water-quality data to support their own assessments of changing water-quality conditions. Data from these multiple sources have been combined to support...
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