基于改进内梅罗指数法的济南饮用水源功能区水质评价

为克服传统内梅罗污染指数法过分强调最大污染因子及未考虑各污染指标权重等问题,利用熵权法和因子分析法基于最小相对信息熵原理确定组合权重,考虑不同指标对水质的不同影响对传统内梅罗指数法进行了改进。利用济南市2016年水功能区水质监测数据,选取溶解氧、氨氮等10个监测指标,采用改进的内梅罗污染指数法,对济南市11个饮用水源功能区监测断面进行了水质现状评价和变化趋势分析。结果表明济南市饮用水源功能区的水质状况良好,本文方法的评价结果更加合理可信。

Water Quality Evaluation of Drinking Water Function Zone in Jinan with Improved Nemerow Index Method

Traditional Nemerow index method has some disadvantages, such as overemphasizing the maximum pollution factor and ignoring the weight of each pollution index. In order to solve these unreasonable aspects, entropy weight method and factor analysis method were used to determine the combination weights based on the principle of minimum relative entropy. And the traditional Nemerow index method is improved by considering the different effects of different indexes on water quality. Based on the water quality monitoring data of water function zone in Jinan in 2016, this article selected 10 monitoring indicators, such as dissolved oxygen and ammonia nitrogen, to evaluate the water quality of 11 drinking water function zones in Jinan using improved Nemerow index method. The results show that, the water quality of drinking water function zone in Jinan is in good condition and the evaluation results of the method in this article are more reasonable and credible.