Table 4.4 (continued)
Case
study Predictors
Method
Reference
7
pH
Back-propagation artificial
neural network
Park et al.
(2016)
Electrical conductivity
Support vector machine
Total dissolved solids
Temperature
Redox potential
Well depths
8
Distance to river ganga
Regression
Singh
et al.
(2016)
Distance to river Sone
Depth of hand pumps
Elevation of hand pumps
Surface elevation
Slope
Flow direction
Flow accumulation
Distance to a drainage point
Latitude
Longitude
9
Volcano-sedimentary schist (Birimian)
Logistic regression
Bretzler
et al.
(2017)
Volcanite: Basalt, andesite, rhyolite
(Birimian)
Orthogneiss (Birimian)
Granite
Tonalite
Distance to faults
Distance to mineral deposits (metal ores)
Distance to granitoid rocks
Drainage direction
Flow accumulation
10
pH
Logistic regression
Podgorski
et al.
(2017)
Depth
Aridity
Fluvisols
Irrigated area
Slope
Holocene fluvial sediments
Soil organic carbon
Soil pH
Slope
(continued)
88
S. K. Singh et al.
Case
study Predictors
Method
Reference
7
pH
Back-propagation artificial
neural network
Park et al.
(2016)
Electrical conductivity
Support vector machine
Total dissolved solids
Temperature
Redox potential
Well depths
8
Distance to river ganga
Regression
Singh
et al.
(2016)
Distance to river Sone
Depth of hand pumps
Elevation of hand pumps
Surface elevation
Slope
Flow direction
Flow accumulation
Distance to a drainage point
Latitude
Longitude
9
Volcano-sedimentary schist (Birimian)
Logistic regression
Bretzler
et al.
(2017)
Volcanite: Basalt, andesite, rhyolite
(Birimian)
Orthogneiss (Birimian)
Granite
Tonalite
Distance to faults
Distance to mineral deposits (metal ores)
Distance to granitoid rocks
Drainage direction
Flow accumulation
10
pH
Logistic regression
Podgorski
et al.
(2017)
Depth
Aridity
Fluvisols
Irrigated area
Slope
Holocene fluvial sediments
Soil organic carbon
Soil pH
Slope
(continued)
88
S. K. Singh et al.
