Evaluation of Mine Water Quality Based on Bayesian Theory MODEL of AHP-EWM Combined Weighting Method

Abstract

In view of the fuzziness and randomness of groundwater quality evaluation and the rationality and scientificityof the weight in the evaluation process, in order to establish an objective, scientific and convenient mine waterenvironment evaluation system and improve the accuracy of the evaluation results, AHP and EWM weight method arecombined to obtain the weight value, which is coupled with Bayesian water quality evaluation model. In this paper, sevenwater quality evaluation factors and ten groups of water samples are selected to analyze the application of mine water inShengquan coal mine, Shandong Province. At the same time, the single factor evaluation method, equal weightBayesian model and fuzzy comprehensive evaluation method are used to compare with the evaluation results to verifythe accuracy of the evaluation results of the model. The results show that the water quality evaluation model ofcombined weighted Bayesian model is reasonable for mine water quality evaluation, which not only distinguishes thedifference of each evaluation factor's contribution to water quality, but also makes a more accurate evaluation of waterquality, and the calculation process is simple, which avoids the complexity of multiple indicators of traditional methods,and provides a scientific basis for comprehensive utilization of mine water in mining area, so the evaluation method ispractical.