摘要
针对传统水质评价模型精度不高的问题,采用熵权法和层次分析法确定权重,并与模糊物元法相结合,建立了基于组合权重的模糊物元评价模型,以江苏省丰县为例,选取全县2012年水功能区监测断面水质监测数据进行水质评价。结果表明,丰县复新河多处水体为Ⅴ类水,郑集河及大沙河多段水体为Ⅳ类水,污染严重,与实际情况基本相符,可见该模型评价结果客观、准确。
Aiming at the low accuracy of traditional water quality evaluation model, this paper established a fuzzy matter-element model based on combined weight. The coefficients of weight in the model are calculated by combination of entropy method and analytic hierarchy process. Taking Fengxian County of Jiangsu Province as an example, water quality is evaluated by the water quality monitoring data of the entire water function areas in 2012. The results show that multiple sections of Fuxinhe River are at grade Ⅴand some parts of Dashahe River and Zhengjihe River are at grade Ⅳ;the water pollution is terrible, which is basically consistent with the actual situation. Thereby, the evaluation result of the model is objective and accurate.
出处
《水电能源科学》
北大核心
2014年第6期37-41,共5页
Water Resources and Power
基金
江苏省自然科学基金项目(BK20130849)
关键词
熵权
层次分析法
模糊物元
水质评价
丰县
entropy
analytic hierarchy process
fuzzy matter-element
evaluation of water quality
Fengxian County