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This raster dataset represents the boundaries of the hydrogeologic areas of the Southwest Principal Aquifer (SWPA) study of the National Water Quality Assessment (NAWQA) program. It is a compilation of the pre-existing Hydrogeologic Areas of the Southwest Ground-Water Resources Project, with additional data from the Central and Coastal basins of California, Northern New Mexico Rio Grande Valley, and South Central Colorado San Luis Valley.
The Cape Fear and Pee Dee River Basins in North Carolina and South Carolina were chosen as a focus area study (FAS) for the U.S. Geological Survey (USGS) National Water Census (NWC) in 2016. The objective of the NWC is to place technical information and tools in the hands of stake holders so that they can make decisions on water availability. The USGS South Atlantic Water Science Center, comprised of North Carolina, South Carolina, and Georgia, conducted a 3-year study of water use and availability to provide information related to the competing societal and ecological water needs in the Southeastern Atlantic Coastal Basins of the Carolinas. The Coastal Carolinas study area includes the Pee Dee and Cape Fear River...
This raster dataset represents the boundaries of the hydrogeologic areas of the Southwest Principal Aquifer (SWPA) study of the National Water Quality Assessment (NAWQA) program. It is a compilation of the pre-existing Hydrogeologic Areas of the Southwest Ground-Water Resources Project, with additional data from the Central and Coastal basins of California, Northern New Mexico Rio Grande Valley, and South Central Colorado San Luis Valley.
The surface water water-quality data were compiled from Water Quality Portal (https://www.waterqualitydata.us/) (National Water Quality Monitoring Council, 2015), USGS’s NAWQA Project’s data compilation (Oelsner and others, 2017) or the Montana Bureau of Mines and Geology (Montana Bureau of Mines, 2021), The compilation contains data for chloride, pH, specific conductance, sulfate, total dissolved solids (TDS) collected between water year 1970 to 2014. In addition 10 metals (aluminum, arsenic, barium, chromium, copper, iron, lead, selenium strontium, and zinc) analyzed during water years 1993 through 2014. National Water-Quality Monitoring Council, 2015, Water Quality Portal: National Water-Quality Monitoring Council,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Montana,
North Dakota,
South Dakota,
Water-Quality Parameters,
Williston Basin,
This U.S. Geological Survey Data Release contains the associated data described in the Scientific Investigations Report, "Trends in water quality of selected streams and reservoirs used for water supply in the Triangle area of North Carolina, 1989-2013". Since 1989, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in the water-supply reservoirs and streams in the Triangle area of North Carolina located within the upper Cape Fear and Neuse River Basins. Temporal trends in water-quality were analyzed for thirteen stream and eight reservoir sites. Seventeen water-quality parameters and constituents were examined at these sites.
This U.S. Geological Survey Data Release contains the associated data described in the Scientific Investigations Report, "Trends in water quality of selected streams and reservoirs used for water supply in the Triangle area of North Carolina, 1989-2013". Since 1989, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in the water-supply reservoirs and streams in the Triangle area of North Carolina located within the upper Cape Fear and Neuse River Basins. Temporal trends in water-quality were analyzed for thirteen stream and eight reservoir sites. Seventeen water-quality parameters and constituents were examined at these sites
These datasets were collected in support of the U.S. Environmental Protection Agency Region 5 at the Chemical Recovery Site in Elyria, Ohio, within the East Branch Black River on March 22, 2021. Water-quality and bathymetric data were measured and logged at 1-second intervals (AUV_CRS_Combined_032221.csv). Water-quality data collected during eight different missions were measured with a YSI EXO1 sonde mounted in the nose cone of the IVER3 EcoMapper Autonomous Underwater Vehicle (AUV) and include specific conductivity (in microsiemens per centimeter at 25 degrees Celsius), water temperature (degrees Celsius), dissolved oxygen (milligrams per liter), and pH (standard units). Bathymetric data were measured using an...
This U.S. Geological Survey Data Release contains the associated data described in the Scientific Investigations Report, "Trends in water quality of selected streams and reservoirs used for water supply in the Triangle area of North Carolina, 1989-2013". Since 1989, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in the water-supply reservoirs and streams in the Triangle area of North Carolina located within the upper Cape Fear and Neuse River Basins. Temporal trends in water-quality were analyzed for thirteen stream and eight reservoir sites. Seventeen water-quality parameters and constituents were examined at these sites.
This data release contains time-lapse self-potential, electric resistivity tomography, hydrographic, and weather data acquired during a geoelectric monitoring survey of the lower Rio Grande riverbed in the Mesilla Basin of southeast, New Mexico. The monitoring survey was performed by the U.S. Geological Survey (USGS) in cooperation with New Mexico State University (NMSU), Elephant Butte Irrigation District (EBID), and hydroGEOPHYSICS, Inc (HGI). The data and corresponding data processing codes are described in the larger work citation, a journal article titled "Geoelectric Monitoring of the Electric-potential Field of the Lower Rio Grande Before, During, and After Intermittent Streamflow, May-October, 2022." The...
The U.S. Geological Survey (USGS), in cooperation with the Great Lakes Restoration Initiative, collected data in 2017 to study the sources and occurrences of continual detections of high Escherichia coli (E. coli) detections at urban beaches along the Lake Michigan shoreline in northwest Indiana and northeastern Illinois. High E. coli detections cause the beaches to be closed for recreational use until additional samples verify that E. coli levels have fallen below the threshold of 235 counts per 100 ml. The project used microbial source tracking (MST) and metagenomics analyses to evaluate the sources of E. coli. This data release provides the phytoplankton, mictobial source tracking, and metagenomics components...
This data release contains waterborne self-potential (SP) logging data measured during 48 laboratory experiments and three field experiments that were performed to develop an efficient, accurate method for detecting (in the laboratory) and geolocating (in the field) focused vertical groundwater discharge (surface-water gains) and recharge (surface-water losses) in a river. The experimental procedures and results are described and interpreted in a companion journal article titled "Remote detection of focused groundwater/surface-water exchange in rivers using waterborne self-potential logging: Laboratory and field experiments," and are similar to waterborne SP logging data measured, modeled, and interpreted by Ikard...
Categories: Data,
Data Release - Revised;
Tags: Cape Cod,
Fluvial Geomorphology,
Fluvial Hydrology,
Gradient Self-potential,
Groundwater,
The U.S. Geological Survey, in cooperation with Broward County Environmental Planning and Resilience Division, has developed a groundwater/surface-water model to evaluate the response of the drainage infrastructure and groundwater system in Broward County to increases in sea level and potential changes in precipitation. The model was constructed using a modified version of MODFLOW-NWT, with the surface-water system represented using the Surface-Water Routing process and the Urban Runoff process. The surface-water drainage system within this newly developed model actively simulates the extensive canal network using level-pool routing and active structures representing gates, weirs, culverts, and pumps. Steady-state...
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