Table 4.5 Artificial intelligence techniques used to predict fluoride contamination of groundwater
Case
Study
Predictors
Method
Reference
1
Actual evapotranspiration
Logistic regression
Podgorski et al.
(2018)
Calcisols
Cropland
Felsic igneous rocks
Mafic igneous rocks
Noncarb, sedimentary
rocks
Potential
evapotranspiration
Precipitation
Sand fraction
Silt fraction
Slope
2
Elevation
Multiple linear regression
Amini et al.
(2008b)
Slope
Adaptive neuro-fuzzy inference
system
Evapotranspiration
Precipitation
Temperature
Runoff
Irrigation
Topsoil clay content
Topsoil silt content
Topsoil sand content
Topsoil C/N ratio
Subsoil clay content
Subsoil silt content
Subsoil sand content
Subsoil C/N ratio
Subsoil cation exchange
capacity
Soil drainage code
Subsoil nitrogen content
Subsoil organic carbon
content
Subsoil pH
Distance from felsic volcanic rocks
Distance from mafic volcanic rocks
Distance from other volcanic rocks
Distance from intrusive
felsic rocks
(continued)
92
S. K. Singh et al.
Case
Study
Predictors
Method
Reference
1
Actual evapotranspiration
Logistic regression
Podgorski et al.
(2018)
Calcisols
Cropland
Felsic igneous rocks
Mafic igneous rocks
Noncarb, sedimentary
rocks
Potential
evapotranspiration
Precipitation
Sand fraction
Silt fraction
Slope
2
Elevation
Multiple linear regression
Amini et al.
(2008b)
Slope
Adaptive neuro-fuzzy inference
system
Evapotranspiration
Precipitation
Temperature
Runoff
Irrigation
Topsoil clay content
Topsoil silt content
Topsoil sand content
Topsoil C/N ratio
Subsoil clay content
Subsoil silt content
Subsoil sand content
Subsoil C/N ratio
Subsoil cation exchange
capacity
Soil drainage code
Subsoil nitrogen content
Subsoil organic carbon
content
Subsoil pH
Distance from felsic volcanic rocks
Distance from mafic volcanic rocks
Distance from other volcanic rocks
Distance from intrusive
felsic rocks
(continued)
92
S. K. Singh et al.
