Filters: Tags: Illinois (IL) (X) > Date Range: {"choice":"year"} (X) > partyWithName: Courtney D Killian (X)

Filters Date Types (for Date Range) Types Map Service (1) OGC WFS Layer (1) OGC WMS Layer (1) OGC WMS Service (1) Contacts Lower Mississippi-Gulf Water Science Center U.S. Geological Survey Katherine J Knierim U.S. Geological Survey - ScienceBase Water Resources Categories Data (1) Tag Types Theme (1) Place (1) Harvest Set (1) View Results as: JSON ATOM CSV

Machine-learning model predictions and rasters of groundwater salinity in the Mississippi Alluvial Plain 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), All tags... Missouri (MO), Tennessee (TN), USGS Science Data Catalog (SDC), alluvial aquifer, aquifer, boosted regression trees, groundwater, groundwater quality, machine learning, mathematical modeling, water quailty, Fewer tags