摘要
基于某城市内湖2018年水质监测数据,以高锰酸盐指数(COD_(Mn))、氨氮(NH_(3)-N)、总氮(TN)、总磷(TP)和溶解氧(DO)为评价指标,采用模糊综合评价法对该湖区的水质进行综合评价。评价结果表明:在评价的12个月中,9个月的水质属于Ⅱ类水,3个月的水质属于Ⅳ类水,水质状况整体较好。评价结果基本能够反映该区域实际状况,所构建的模糊综合评价模型具有一定的科学性与合理性。
Based on the water quality monitoring data of a city′s inner lakes in 2018, taking permanganate index(COD_(Mn)), ammonia nitrogen(NH_(3)-N), total nitrogen(TN), total phosphorus(TP) and dissolved oxygen(DO) as evaluation indexes, the water quality of the lake area was comprehensively evaluated by fuzzy comprehensive method. The assessment results showed that, during the 12 months, the water quality in 9 months belonged to class II water, and the other 3 months belonged to class IV, and the overall water quality was good. The evaluation results could basically reflect the actual situation of the region, and the fuzzy comprehensive evaluation model was scientific and reasonable.
作者
周明亮
姬静
刘加强
张泽航
杨锦泯
刘建莉
Zhou Mingliang;Ji Jing;Liu Jiaqiang;Zhang Zehang;Yang Jinnan;Liu Jianli(School of Environmental Engineering,Xuzhou Institute of Technology,Xuzhou 221111,China;School of Environment and Surveying and Mapping,China University of Mining and Technology,Xuzhou 221116,China)
出处
《供水技术》
2021年第3期12-15,共4页
Water Technology
基金
徐州市重点研发课题(KC19218)
大学生创新创业基金项目(2019039)。
关键词
城市内湖
模糊综合评价法
数据分析
urban inner lake
fuzzy comprehensive evaluation method
data analysis
