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Found 71 dataset(s) matching "Groundwater Availability of the Central Valley Aquifer".
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
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A three-dimensional groundwater flow model (MODFLOW-2005) of the Mississippi embayment, South-Central United States, was developed as part of a national project initiated by the U.S. Geological...
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Boosted regression trees (BRT), a type of ensemble-tree machine-learning method, were used to predict specific conductance concentration at multiple depths throughout the Mississippi River Valley...
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In the United States, the widespread use of pesticides has led to contamination of groundwater resources. Three decades ago, the U.S. Geological Survey (USGS) established a national water quality...
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Categorical classification of groundwater age based on concentrations of tritium (3H) in groundwater can provide useful information for the assessment and understanding of groundwater resources....
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This data release contains site information and potential explanatory factor data for 1,899 groundwater sites. These sites were used to assess groundwater quality in aquifers used for domestic and...
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As part of the U.S. Geological Survey (USGS) Water Availability and Use Science Program study of the Mississippi Alluvial Plain (MAP), a shapefile representing seven generalized regions of the MAP...
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A digital map of the thickness of the surficial unconfined aquifer, including from the land surface and unsaturated zone to the bottom of sediments of geologic units identified as part of the...
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In cooperation with the Idaho Department of Water Resources (IDWR), the U.S. Geological Survey (USGS) collected groundwater levels, geophysical logs, and video logs at eight monitoring wells from...
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<span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>Archived on 20161130...
