Evaluation of Different Machine Learning Models for Predicting Soil Erosion in Tropical Sloping Lands of Northeast Vietnam
Table 1
Statistical descriptions of soil erosion influencing factors [20].
Influencing factors
Notation
Min
Max
Mean
Std.
EI30 (MJmm/hahr)
X1
0.000
3008.930
573.642
814.696
Slope (degree)
X2
24.830
34.770
29.049
2.324
OC topsoil (%)
X3
0.890
2.790
1.747
0.584
pH topsoil
X4
5.130
7.060
5.866
0.581
Topsoil bulk density g/cm3
X5
1.230
1.580
1.398
0.080
Topsoil porosity (%)
X6
46.340
59.480
52.762
3.016
Topsoil texture (silt fraction %)
X7
31.350
37.710
33.902
1.486
Topsoil texture (clay fraction %)
X8
18.610
38.350
29.138
4.807
Topsoil texture (sand fraction %)
X9
29.660
46.510
36.954
4.375
Soil cover (%)
X10
1.050
97.640
44.276
26.741
Note: EI30 denotes the kinetic rainfall energy which is the product of total storm energy (E) times the maximum 30 min intensity (I30). Storm energy E is adapted for tropical condition [35]:
