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Prediction grids of pH for the Mississippi River Valley Alluvial and Claiborne Aquifers

Dates

Publication Date
Start Date
1960-01-01
End Date
2019-01-01

Citation

Kingsbury, J.A., Knierim, K.J., and Haugh, C.J., 2020, Prediction grids of pH for the Mississippi River Valley alluvial and Claiborne aquifers: U.S. Geological Survey data release, https://doi.org/10.5066/P9CXX7LN.

Summary

Groundwater is a vital resource to the Mississippi embayment region of the central United States. Regional and integrated assessments of water availability that link physical flow models and water quality in principal aquifer systems provide context for the long-term availability of these water resources. An innovative approach using machine learning was employed to predict groundwater pH across drinking water aquifers of the Mississippi embayment. The region includes two principal regional aquifer systems; the Mississippi River Valley alluvial (MRVA) aquifer and the Mississippi embayment aquifer system that includes several regional aquifers and confining units. Based on the distribution of groundwater use for drinking water, the [...]

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prediction_grids_of_pH_for_the_Mississippi_River_Valley_alluvial_and_Claiborne_Aquifers.xml
Original FGDC Metadata

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42.95 KB application/fgdc+xml
ExpVars.csv 15.7 KB text/csv
README.txt 5.24 KB text/plain
BRT_pH.R 4.56 KB text/x-rsrc
modelgeoref.txt 426 Bytes text/plain

Purpose

The machine-learning model predictions and groundwater quality rasters support the SIM by Kingsbury and others (2020).

Map

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ScienceBase WMS

Communities

  • USGS Data Release Products
  • USGS Lower Mississippi-Gulf Water Science Center

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Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9CXX7LN

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