Multi-model fusion for assessing risk of inrush of limestone karst water through the mine floor

Abstract

Inrush of limestone karst water through the mine floor occurs frequently in the Carboniferous–Permian coalfield in northern China. The unascertained measurement evaluation and set pair analysis methods are proposed to evaluate water inflow, by using eight indices. Firstly, ordered binary comparison quantization method and interval number fuzzy decision matrix of EA-TOPSIS ordering were used to obtain weights for these eight factors. Secondly, conflicting evidence theory is applied to couple of these weights calculated by ordered binary comparison quantization and EA-TOPSIS ordering, to ensure the effective evaluation of the relative importance with respect to each indicator for the dynamic model. Lastly, the unapprehend measurement evaluation and set pair analysis methods were utilized to evaluate the risk of limestone karst water influx from coal seam floor. Based on the type of index value, the state classification is carried out through quantitative analysis, and single index measure functions including linear and non-linear patterns, are constructed. The process is described as follows: first, the 8 index values collected from 30 water inrush points in Xinwen coalfield are substituted into the measurement function to construct the multi index comprehensive evaluation matrix. Second, the credibility identification criterion is introduced to determine the risk level of water incurred point Xi Finally, the general situation of water inflow risk from coal seam floor during coal mining in Xinwen coalfield is illustrated by using set pair potential analysis method. The production practice in Xinwen coalfield has proved that the evaluation results are consistent with the actual situation.