Table 4.4 (continued)
Case
study Predictors
Method
Reference
Runoff
Temperature
Irrigated areas
Topsoil C/N ratio
To soil clay content
Topsoil silt content
Topsoil sand content
Subsoil C/N ratio
Subsoil clay content
Subsoil silt content
Subsoil sand content
Subsoil cation exchange capacity
Soil drainage code
Subsoil nitrogen content
Subsoil organic carbon content
Subsoil pH
Distance from volcanoes
Distance from volcanic rocks
Distance to rivers
5
pH
Multiple linear regression
Cho et al.
(2011)
Electrical conductivity
Principal component
analysis
Total dissolved solids
Artificial neural network
Temperature
Principal component analysis and artificial network
analysis
Redox potential
6
Pre-Holocene deposits
Logistic regression
Yang et al.
(2014)
Deltaic deposits
Organic-rich deposits
Alluvial deposits
Tidal deposits
Coarse-textured soil
Medium-textured soil
Fine-textured soil
Sand content
Silt content
Clay content
Slope
Topographic wetness index
Density of rivers
Distance to rivers
(continued)
4 Application of Artificial Intelligence in Predicting Groundwater Contaminants
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