Water inrush risk assessment based on FAHP-EWM combined weight

Abstract

Through statistical analysis of geological and hydrogeological data of the early mining section of a mine field in Wubao Mining Area, the main control factors affecting the water inrush from the floor of the main mining coal seam were determined. Fuzzy analytic hierarchy process（FAHP）and entropy weight method（EWM）were used to calculate the subjective and objective weights of each factor. The combination weights were calculated by addition synthesis method, range maximization method, game theory method and minimum discriminant information method, respectively. Combined with the vulnerability index method, the information fusion technology of GIS was used to obtain the water inrush vulnerability assessment zoning of the study area. The transition trend of the four evaluation results is basically the same, but there are some areas with different rating results. The Spearman rank correlation coefficient was used to optimize the evaluation results of four kinds of water inrush vulnerability. The results showed that the correlation coefficient between the vulnerability index ranking based on the minimum discriminant information method and the “reasonable ranking” was the highest. Therefore, it can be inferred that among the four vulnerability assessment results, the water inrush vulnerability assessment obtained by the combination of the minimum discriminant information method is the best.

Keywords

• floor water inrush
• water inrush risk
• combination weight
• vulnerability index method
• spearman rank correlation coefficient
• water inrush coefficient method