Research on Assessment of Risk of Gas Disaster in Mine Based on Monte Carlo - AHP Method

2nd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Xu, Haoli^1 ; Wang, Daqing^1 ; Deng, Zhengdong^1 ; Liu, Zhixin^2 ; Hu, Longsheng^3

Defense Engineering College, Army Engineering University, Nanjing

210007, China^1

School of Resources and Geosciences, China University of Mining and Technology, Xuzhou

221116, China^2

Harbor Consultants Co Ltd, Guangzhou

510230, China^3

关键词: AHP method;    Analytic hierarchy process (ahp);    Fuzzy comprehensive evaluation;    Random Numbers;    Study areas;    Traditional assessment;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/170/2/022120/pdf
DOI  :  10.1088/1755-1315/170/2/022120

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The traditional assessment of risk of gas disaster in mine rely on experience of experts to determine weights. And human factors frequently lead to greater errors. In order to overcome these shortcomings, we used Monte Carlo method to improve analytic hierarchy process (AHP) method. We used a large number of random number simulation to replace experts judgment. It can avoid the interference of human factors. The new weights were used to assess the risk of gas disaster, and the fuzziness of traditional fuzzy comprehensive evaluation was eliminated. We used Monte Carlo-AHP Method to assess the risk of gas disaster in Gaoping mine in Shanxi Province, China, and got score of assessment of risk of gas disaster in the study area. The results show that assessment method based on Monte Carlo-AHP has better correlation and lesser error than traditional assessment method.