Filters: Contacts: {oldPartyId:71750} (X) > Types: OGC WMS Layer (X) > partyWithName: Water Resources (X)
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A multiple machine-learning model (Asquith and Killian, 2024) implementing Cubist and Random Forest regressions was used to predict monthly mean groundwater levels through time for the available years described in the metadata for the Mississippi River Valley alluvial aquifer (MRVA). The MRVA is the surficial aquifer of the Mississippi Alluvial Plain (MAP), located in the south-central United States. Employing two machine-learning techniques offered the opportunity to generate model and statistical error and covariance between them to estimate total uncertainty. Potentiometric surface predictions were made at the 1-kilometer grid scale using the National Hydrogeologic Grid (Clark and others, 2018). For a full description...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC)
The Chicot aquifer system underlies an area of approximately 9,500 mi2 in southwestern Louisiana and is located within the Gulf Coastal Plain physiographic province. The region includes all or parts of 15 parishes -- Vernon, Rapides, Evangeline, Allen, Beauregard, Calcasieu, Jefferson Davis, Acadia, St. Landry, Lafayette, St. Martin, Cameron, Iberia, Vermilion, and St. Mary. The Chicot aquifer system is a major source of groundwater for southwestern Louisiana, accounts for approximately 48 percent of all groundwater use in the State, and provides freshwater for public supply, industry, agriculture, and aquaculture (Collier and Sargent, 2018). Withdrawals of groundwater have created water-level gradients favorable...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Acadia Parish,
Allen Parish,
Beauregard Parish,
CLAS,
Calcasieu Parish,
Groundwater from the Mississippi River Valley alluvial aquifer (MRVA), coincident with the Mississippi Alluvial Plain (MAP), is a vital resource for agriculture and drinking-water supplies in the central United States. Water availability can be limited in some areas of the aquifer by high concentrations of salinity, measured as specific conductance. Boosted regression trees (BRT), a type of ensemble-tree machine-learning method, were used to predict specific conductance concentration at multiple depths throughout the MRVA and underlying aquifers. Two models were created to test the incorporation of datasets from a regional aerial electromagnetic (AEM) survey and evaluate model performance. Explanatory variables...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arkansas (AR),
Illinois (IL),
Kentucky (KY),
Louisiana (LA),
Mississippi (MS),
The U.S. Geological Survey (USGS) in cooperation with the Pennsylvania Department of Conservation and Natural Resources, Bureau of Geological Survey, estimated groundwater recharge by automated streamflow-hydrograph methods for watersheds throughout Pennsylvania. These data serve as an update to previous estimates of groundwater recharge described in Risser and others (2005). The current analysis provides estimates of groundwater recharge from the recession-curve displacement method (RORA) and estimates of runoff and baseflow from the hydrograph-separation technique PART. Additional hydrograph separation methods, HySEP-Fixed, HySEP-LocMin, HySEP-Slide, BFI-Standard, BFI-Modified, DF-One Param, and DF-Two Param were...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hydrology,
USGS Science Data Catalog (SDC),
Water Resources
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