Bayesian Groundwater Environmental Quality Assessment Model Based on Principal Component Analysis and Entropy Weight

HU Yang;TANG Jin-ping;CHEN You-liang;ZHANG Qiang;College of Earth Sciences,Chengdu University of Technology;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology;

HU Yang%TANG Jin-ping%CHEN You-liang%ZHANG Qiang%College of Earth Sciences,Chengdu University of Technology%State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology

groundwater environmental quality;;principal component analysis;;entropy weight method;;Bayesian theory

In this paper,in order to establish an objective,scientific and convenient groundwater environmental quality evaluation system,the principal component analysis method,entropy weight method and Bayesian theory were coupled,and the groundwater in No. 2 mine and surrounding area of Zhundong Coalfield in Xinjiang was selected as an object for instance analysis. The results show that the principal component analysis method can not only select the evaluation factor objectively and reasonably,but also solve the problem of repetitive weighting of entropy weight method. Bayesian evaluation by entropy weight method can reduce the screening evaluation by principal component analysis. The impact of the factors makes the evaluation results almost consistent before and after screening,which is more applicable than the overweight method. The coupling of the three methods can not only ensure the reliability of the evaluation results,but also reduce the evaluation workload from multiple links and has strong practicability.