Table 2 Fractional areas for effective DRASTIC parameters.

From: Enhancement of groundwater resources quality prediction by machine learning models on the basis of an improved DRASTIC method

Depth to water table (m)

Net recharge

Aquifer media

Rating

Area (percentage %)

Rating

Area (percentage %)

Rating

Area (percentage %)

1

1922.2 (95)

1

57.497 (2.8)

4

24.134 (1.2)

2

73.08 (3.6)

3

1076.4 (53.2)

5

1251.4 (61.8)

3

28.113 (1.4)

5

889.49 (44)

7

747.88 (37)

Soil media

Topography (slope %)

Impact of the vadose zone

Rating

Area (percentage %)

Rating

Area (percentage %)

Rating

Area (percentage %)

1

82.91 (4.1)

1

1.18 (0.1)

3

923.75 (45.7)

3

271.72 (13.4)

3

1.86 (0.1)

5

903.42 (44.6)

4

281.5 (13.9)

5

31.24 (1.5)

7

196.26 (9.7)

5

833.57 (41.2)

9

774.8 (38.3)

  

6

547.64 (27.1)

10

1214.3 (60)

  

9

6.094 (0.3)

    

Hydraulic conductivity

Land use

NO3-(mg/L)

Rating

Area (percentage %)

Rating

Area (percentage %)

Rating

Area (percentage %)

1

630.4 (31.2)

Bare land and desert

143.34 (7.1)

2.2 - 14

1319.2 (65.2)

2

1358 (67.1)

Hand-planted forests

210.29 (10.4)

14 - 28

341.52 (16.9)

4

35 (1.7)

Dry lake

17.611 (0.9)

28 - 48

248.53 (12.3)

  

Low density pastures

1010.3 (49.9)

48 - 70

86.247 (4.3)

  

Irrigated field crops

520.58 (25.7)

70 - 100.4

27.919 (1.4)

  

Urban areas

121.28 (6)