基于投影寻踪与内梅罗指数组合模型的地下水水质评价

针对内梅罗指数法注重最大污染指标及未充分考虑指标权重的问题,通过投影寻踪模型构造投影指标函数,采用实码加速遗传算法对投影指标函数进行优化得到指标权重,与污染指数结合得到加权污染指数,并将改进的最大污染指数加入权重与污染指数乘积最大值,构成投影寻踪与内梅罗指数组合模型。结合阳泉市娘子关泉域地下水水质监测样本,得到评价结果。结果表明,组合模型的地下水水质评价结果与现行的水质评价方法比较在安全性与准确性方面均有一定优势。验证了组合模型的可行性与适用性。研究成果可为地下水水污染防治提供参考。

Groundwater Quality Evaluation Based on Combined Model of Projection Pursuit and Nemero Index

In view of the Nemero index method focusing on the maximum pollution index and not fully considering the index weight, this paper establishes the projection index function through the projection pursuit model, and uses the real code accelerated genetic algorithm to optimize the projection index function to obtain the index weight. Combined with the pollution index, the weighted pollution index is obtained. The maximum pollution index is added to the maximum value of the product of the weighted index and the pollution index to form a combined model of projection pursuit and Nemero index. Combined with the groundwater quality monitoring samples of the Niangzi Guanquan area in Yangquan City, the evaluation results were obtained. Compared with the current water quality assessment methods, the results show that the groundwater quality assessment by the combined model has some certain advantages in terms of safety and accuracy. The feasibility and applicability of the combined model are verified. The research results can provide reference for the prevention of groundwater pollution.