Regional Land Subsidence Vulnerability Assessment Based on Grey Correlation Analysis

2012 ◽  
Vol 170-173 ◽  
pp. 1265-1268
Author(s):  
Yu Chen ◽  
Long Cang Shu

It is well-known that land subsidence seriously affects the regional social and economic development and becomes a world-wide problem. Xixi-Chengnan district, Jiangsu province is one of the most important area affected by land subsidence in China. The damage of the hazard to physical, social, economical and environmental systems has been increasing during recent years, which mainly caused by the long period groundwater overexpolitation in the area. This research presents a vulnerability assessment model based on grey correlation analysis (GCA) for the regional land subsidence in Xixi-Chengnan district of Jiangsu province, by the assessment results, the rank of relative vulnerability of each township in the study area can be obtained without weighting and aggregating the vulnerbaility indicators and with avoiding the subjectivity of weighting in general vulnerability evaluation methods. The study can be expected to raise public awareness of land subsidence risk and vulnerability, lay the foundation for risk decision-making, and provide theories and technological supports for taking comprehensive and active measures to prevent and alleviate land subsidence vulnerability.

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 130 ◽  
Author(s):  
Guofang Dong ◽  
Wei Wei ◽  
Xu Xia ◽  
Marcin Woźniak ◽  
Robertas Damaševičius

Improving safety management and risk evaluation methods is important for the global mining industry, which is the backbone of the industrial development of our society. To prevent any accidental loss or harm to human life and property, a safety risk assessment method is needed to perform the continuous risk assessment of mines. Based on the requirements of mine safety evaluation, this paper proposes the Pb-Zn mine safety risk evaluation model based on the fuzzy-grey correlation analysis method. The model is compared with the risk assessment model based on the fuzzy TOPSIS method. Through the experiments, our results demonstrate that the proposed fuzzy-grey correlation model is more sensitive to risk and has less effect on the evaluation results under different scoring attitudes (cautious, rational, and relaxed).


2012 ◽  
Vol 518-523 ◽  
pp. 4321-4324
Author(s):  
Yu Chen ◽  
Long Cang Shu

This research takes the land subsidence in Xixi-Chengnan area, Jiangsu province as a case study, quantifies the relative land subsidence vulnerability in terms of vulnerability degree and determines the numerical classification of vulnerability level at the township scale based on the constructed subsidence vulnerability assessment framework, and the detail analysis of natural geographical environment and regional socio-economic conditions in the study area. The vulnerability assessment process is quantitative, objective and comprehensive, provides effective information for the systematic study of land subsidence in Xixi-Chengnan area, lays the foundation for planning of regional land subsidence disaster prevention and reduction, and is worthy of learning for the whole Su-Xi-Chang area and even other subsidence areas.


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