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Person

Vincent E White

Hydrologist
Email: vwhite@usgs.gov
Office Phone: 225-298-5481
Fax: 225-298-5490
ORCID: 0000-0002-1660-0102
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Datasets are inputs and outputs of Aquaculture and Irrigation Water Use Model (AIWUM) 2.0. AIWUM 2.0 employs remote sensing data sets and machine learning utilizing Distributed Random Forests, an ensemble machine learning algorithm to estimate annual and monthly groundwater use for irrigation and aquaculture (2014–20) throughout this region at 1 km resolution, using annual pumping data from flowmeters in Mississippi and real-time flowmeters in Arkansas, Louisiana, Mississippi, Missouri, and Tennessee. Aquaculture and irrigation estimates contained in this data release are representative of groundwater withdrawal for six different categories: aquaculture, cotton, corn, rice, soybeans, and other crops. Model results...
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This dataset contains digitized groundwater quality data from 435 wells that are screened in the Chicot aquifer system. Reported values of interest included specific conductance, total dissolved solids, and chloride (Cl) concentration; other parameters and major/trace element concentrations were included if reported. Values listed as “NA” or “-9999” represent data that was not reported in the physical dataset. A concentration of 0 ppm or ppb represents a reported concentration of 0 and not a null value. Data were collected from scanned versions of well registration records obtained from the Louisiana Department of Natural Resources. Most well registration records may be accessed through Strategic Online Natural...
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