Table 4.4 (continued)
Case
study Predictors
Method
Reference
11
Casing diameter
Boosted regression tree
Erickson
et al.
(2018)
Type of aquiferin which well is located
Stratigraphic unit at the top of the open
interval
Stratigraphic unit at the bottom of the open
interval
Percent of excessively well-drained soil
Percent of moderately well-drained soil
Percent of poorly drained soil
Percent of somewhat excessively drained
soil
Percent of somewhat poorly drained soil
Percent of very poorly drained soil within
Percent of well-drained soil within
Percent of soil classified as hydrologic
group AD
Percent of soil classified as hydrologic
group B
Percent of soil classified as hydrologic
group BD
Percent of soil classified as hydrologic
group C
Percent of soil classified as hydrologic
group CD
Percent of soil classified as hydrologic
group D
Nearest major river
Estimated mean annual recharge
Depth to the water table, meters below land
surface
Aluminum content in soil C horizon, weight
percent
Barium content in soil C horizon, mg/kg
Beryllium content in soil C horizon, mg/kg
Strontium content in soil C horizon, mg/kg
Thorium content in soil C horizon, mg/kg
Thallium content in soil C horizon, mg/kg
Uranium content in soil C horizon, mg/kg
Lanthanum content in soil C horizon, mg/kg
Cadmium content in soil C horizon, mg/kg
Cobalt content in soil C horizon, mg/kg
Tungsten content in soil C horizon, mg/kg
Zinc content in soil C horizon, mg/kg
Sodium content in soil C horizon, weight
percent
(continued)
4 Application of Artificial Intelligence in Predicting Groundwater Contaminants
89