A Bayesian Method for Water Resources Vulnerability Assessment: A Case Study of the Zhangjiakou Region, North China
Table 2
Actual values of indicators for study area.
Subsystem
Indicator
1
2
3
4
5
6
7
8
9
A
387.20
406.40
406.40
409.10
405.70
373.60
456.50
385.80
446.80
20.83
27.75
22.71
22.65
14.12
21.90
22.77
18.83
18.30
4.52
6.84
5.60
6.56
6.50
4.06
7.90
8.27
3.45
2.58
4.76
3.09
4.80
2.43
2.94
2.95
5.68
1.65
3.00
2.42
2.35
2.79
2.05
2.67
2.21
2.19
1.82
B
68.54
474.45
294.77
458.45
438.82
271.44
667.83
438.90
652.50
198.26
1158.04
1317.14
736.19
412.31
311.41
570.93
464.04
523.04
194.44
336.77
422.60
485.15
193.68
138.14
296.07
372.02
250.80
1.49
1.96
9.25
7.81
3.81
12.30
1.85
17.19
6.44
0.87
0.98
0.94
0.93
0.96
1.09
1.37
0.96
0.99
174.41
67.61
106.64
100.58
48.33
45.46
48.19
86.01
33.69
70.00
65.00
68.00
70.00
62.00
60.00
45.00
43.00
41.00
C
76.24
50.94
47.59
59.18
76.83
58.36
71.69
51.00
56.37
180.86
191.40
129.31
90.61
280.19
82.88
362.39
505.88
48.66
3.46
1.13
0.32
2.56
0.40
0.42
0.23
1.47
0.62
49.82
50.03
71.39
63.65
61.54
89.99
42.86
0
66.64
65.74
63.32
60.37
70.78
63.57
63.82
64.51
62.18
50.38
70.00
50.00
65.00
68.00
50.00
55.00
35.00
35.00
30.00
D
61.74
60.77
32.52
58.32
23.83
32.98
47.16
58.28
36.29
7.10
52.48
13.79
56.81
39.41
19.77
1.07
159.78
1.06
89.64
82.62
76.07
81.47
56.2
78.58
88.00
60.20
75.00
Note: The symbolic descriptions for the 1st column of A~D and the 2nd column of a1~d3 are the same as those in Table 1; administrative divisions 1–9 are shown in Figure 1.
