摘要
在水质污染分担率分析的基础上,采用T-S模糊神经网络水质评价和综合营养状态指数对银川市3个典型河湖湿地进行水质和富营养化评价,分析水质变化趋势。结果表明:2011-2019年银川市3个典型河湖湿地的水质总体呈转好趋势,鸣翠湖、阅海和典农河分别从2017年、2018年和2019年开始由Ⅳ类水质转好为Ⅲ类水质。目前,典农河和鸣翠湖呈中营养状态,阅海呈轻度富营养状况。河湖湿地的主要污染物指标为总氮、总磷和化学需氧量,是水质控制和水环境管理的重点。
Based on the water pollution sharing rate analysis,the water quality and eutrophication of three typical river and lake wetlands in Yinchuan were evaluated by T-S fuzzy neural network water quality evaluation and comprehensive nutrient state index,and the change trend of water quality was analyzed.Results show that during 2011 to 2019,the water quality of 3 main river and lake wetlands in Yinchuan were better trend overall.The water quality of Mingcuihu Lake,Yuehai Lake and Diannong River changed from ClassⅣto ClassⅢstarting from 2017,2018 and 2019,respectively.Diannong River and Mingcuihu Lake are under Mesotrophic state while Yuehai Lake is under mild eutrophication state now.The main pollutant indexes of river and lake wetlands are Total Nitrogen,Total Phosphorus and Chemical Oxygen Demand,which are the key points of water quality control and water environment management.
作者
郑兰香
杨桂钦
董亚萍
杨程
Zheng Lanxiang;Yang Guiqin;Dong Yaping;Yang Cheng(College of Ecology and Environment,Ningxia University,Ningxia,750021;School of Geography and Planning,Ningxia University,Ningxia,750021;Ningxia Environmental Monitoring Center Station,Ningxia,750011;College of Civil Engineering,North Minzu University,Ningxia,750021)
出处
《当代化工研究》
2021年第22期89-91,共3页
Modern Chemical Research
基金
宁夏教育厅高校项目(NGY2018040)
宁夏回族自治区重点研发项目(2019BFG02032)
宁夏自然科学基金项目(2019AAC03136)
宁夏水利厅“黄河干流宁夏段生态保护与高质量发展研究”技术开发项目联合资助。
关键词
河湖湿地
水质评价
富营养化
river and lake wetland
water quality evaluation
eutrophication evaluation
