Page 217 - Contributed Paper Session (CPS) - Volume 1

CPS1282 Liu J. et al.

Figure 13 Land use grid graph

4. Hohhot lightning disaster risk evaluation index quantitative and
empirical analysis
Through the above steps to Hohhot lightning disaster risk evaluation index
quantification and secondary weighted by using entropy value method,
invited 18 long engaged in lightning protection device detection, early
warning and forecast of thunder and lightning, lightning disaster analysis after
the expert level weighted by analytic hierarchy process (ahp), the results are
shown in table 5 below:

Table5 Primary weight and secondary weight
Level 1 weight Level 2 weight
Lightning density 0.0181
The intensity of lightning 0.0140
risk 0.4182 Thesoil electrical conductivity 0.1891
The altitude 0.0394
Lightning disaster risk index The terrain ups and downs 0.0582
The population density 0.2085
exposure 0.3082
The density of GDP 0.2135
Index of the loss of life 0.1714
vulnerability 0.2736 Index of economic loss 0.0547
Protective capability indices 0.0331

Combination weights of indicators and secondary indicators in table 5,
using the method of natural breakpoint, Hohhot lightning disaster risk index
for classification,as shown in table 6:

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