摘要
为科学、准确、迅速的评估巢湖流域饮用水中水源水的水质状况,选取了传统的模糊评价法和改进的模糊评价对庐江县湖库水系的六家自来水厂水源水的七项指标进行了水质评价。研究结果表明,采用传统模糊评价法得出其中五个水厂的水源水水质都属于Ⅰ类水,七桥自来水厂的评价结果下为Ⅲ类水。在改进的模糊评价法下六家自来水厂的评价结果均为Ⅰ类水,所有的六个水厂的水源水都符合饮用水水质标准。改进的模糊评价法采用了聚类权法,综合考虑了每个因子在每一个水质等级上对应的权重,使水质评价结果变得更加合理,该法更适合应用于巢湖流域农村饮用水水环境质量评估。
In order to scientifically, accurately and rapidly evaluate the water quality of drinking water sources in Chaohu Lake Basin, the traditional fuzzy evaluation method and the improved fuzzy evaluation method were selected to evaluate seven indicators of the water quality of six water plants in Lujiang Lake and Reservoir Water System. The results show that using the traditional fuzzy evaluation method, it is concluded that the water quality of five of the water plants belongs to Class I, and that of Qiqiao Waterworks belongs to Class III.Under the improved fuzzy evaluation method , the evaluation results of six water plants are all Class I water, and the source water of all six water plants meets the drinking water quality standards.The improved fuzzy evaluation method adopts the clustering weight method,which takes into account the corresponding weight of each factor in each water quality grade, and makes the water quality e-valuation results more reasonable. This method is more suitable for the environmental quality assessment of rural drinking water in Chaohu Lake Basin.
作者
张千
ZHANG Qian(School of Resource and Environment, Anhui Agricultural University, Hefei 230036, China)
出处
《青岛大学学报(自然科学版)》
CAS
2019年第3期49-52,共4页
Journal of Qingdao University(Natural Science Edition)
基金
安徽省2018年度重点研究与开发计划项目(批准号:1804a07020110)资助
关键词
农村饮用水
模糊评价法
隶属度
聚类权法
rural drinking water
fuzzy evaluation method
degree of membership
clustering weight method