Journal of Resources and Ecology >
Resource and Environmental Carrying Capacity Assessment in Earthquake-prone Area—Taking the Luding Earthquake Disaster as an Example
Received date: 2023-08-06
Accepted date: 2023-10-08
Online published: 2023-12-27
Supported by
The Construction Project of China Knowledge Centre for Engineering Sciences and Technology(CKCEST-2022-1-41)
Earthquakes are one of the major natural disaster threats worldwide and directly cause substantial economic losses and many casualties every year. Research on the resource and environmental carrying capacity in earthquake-prone areas is urgently required for regional earthquake relief efforts and post-disaster reconstruction. This study considered Ganzi Tibetan Autonomous Prefecture (Ganzi Prefecture) in Sichuan Province, China, focusing on the impact of the Luding 6.8 Magnitude Earthquake in Ganzi Prefecture in 2022. An evaluation system for the resource and environmental carrying capacity of earthquake-prone areas was established. A total of 23 indicators were selected that cover ecological, social economical, and geological aspects, and the weight of each index was determined by the Analytic Hierarchy Process. The relative ranking of the resource and environmental carrying capacities of each county and city were calculated using the weighted Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Consequently, the post-disaster reconstruction strategy of Ganzi Prefecture was evaluated and analyzed. The results show that the resource and environmental carrying capacities of each administrative area differ regionally. Evidence shows that the resource and environmental carrying capacity in southeastern Ganzi Prefecture is generally higher than in the northwest, owing to the joint influence of the social economy and ecological and geological environment. This study provides carrying capacity assessment data and support methods for earthquake-prone areas.
LIU Jiazhuo , WANG Juanle , LI Kai . Resource and Environmental Carrying Capacity Assessment in Earthquake-prone Area—Taking the Luding Earthquake Disaster as an Example[J]. Journal of Resources and Ecology, 2024 , 15(1) : 161 -172 . DOI: 10.5814/j.issn.1674-764x.2024.01.014
Table 1 Evaluation system for resource and environmental carrying capacity in Ganzi Prefecture |
Level 1 indicator | Level 2 indicator | Level 3 indicator | Weight |
---|---|---|---|
Social economy (0.223) | Population (0.077) | Total resident population | 0.033 |
Population density | 0.044 | ||
Economy (0.081) | Disposable income per capita | 0.026 | |
GDP per capita | 0.024 | ||
Ratio of the total value of the secondary and tertiary industries to gross domestic product | 0.031 | ||
Infrastructure (0.065) | Water supply penetration rate | 0.016 | |
Gas penetration rate | 0.013 | ||
Electricity production | 0.017 | ||
Green coverage rate of built-up areas | 0.006 | ||
Urbanization level | 0.013 | ||
Ecological environment (0.476) | Land (0.088) | Per capita arable land area | 0.038 |
Size of the built-up area | 0.050 | ||
Water resources (0.125) | Per capita water resources | 0.071 | |
Annual rainfall | 0.054 | ||
Environmental quality (0.113) | Per capita green area | 0.040 | |
Normalized Difference Vegetation Index | 0.054 | ||
Annual average temperature | 0.019 | ||
Primary industry (0.149) | Gross output value of the primary industry | 0.149 | |
Geological environment (0.301) | Topography (0.120) | Average slope | 0.025 |
Mean elevation | 0.039 | ||
Soil erosion severity | 0.056 | ||
Geological disaster (0.181) | Number of disaster points | 0.082 | |
Earthquake intensity (Luding Earthquake) | 0.099 |
Table 2 Scale values and their meanings |
Relative importance level | The score of aij |
---|---|
Evaluation index ai is equally important to aj | 1 |
Evaluation index ai is slightly more important than aj | 3 |
Evaluation index ai is more important than aj | 5 |
Evaluation index ai is obviously more important than aj | 7 |
Evaluation index ai is extremely important relative to aj | 9 |
Note: Here, the score values of 2, 4, 6, 8 and other double numbers indicate the intermediate degrees between the different importance levels. |
Table 3 Value table of random consistency index RI |
n | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|
RI | 0.00 | 0.00 | 0.58 | 0.90 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 | 1.49 |
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