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北京城市水系水环境模拟及情景分析
引用本文:张宝,刘静玲,杨志峰.北京城市水系水环境模拟及情景分析[J].环境工程学报,2011,5(1):16-22.
作者姓名:张宝  刘静玲  杨志峰
作者单位:1. 北京师范大学环境学院水环境模拟国家重点实验室,北京,100875;中国环境监测总站,北京,100012
2. 北京师范大学环境学院水环境模拟国家重点实验室,北京,100875
基金项目:国家“973”重点基础研究发展规划项目(2006CB403403);国家“水体污染控制与治理”科技重大专项(2008ZX07209-009)
摘    要:城市水系是流域水环境管理中最为脆弱的控制点.针对城市水系水动力条件差、有机污染和富营养化严重的问题,应用QUAL2K模型模拟、预测城市水系水环境的时空变化,并在此基础上探讨北环水系水环境管理和污染防治的合理有效方案.结果显示,经过多次调整后的模型模拟的匹配度达到了0.9135,水温、溶解氧、COD、TN、TP和Chl-...

关 键 词:城市水系  QUAL2K模型  预测  污染控制  北环水系
修稿时间:5/5/2010 12:00:00 AM

Water quality prediction and case study for urban river system of Beijing
Zhang Bao,Liu Jingling and Yang Zhifeng.Water quality prediction and case study for urban river system of Beijing[J].Techniques and Equipment for Environmental Pollution Control,2011,5(1):16-22.
Authors:Zhang Bao  Liu Jingling and Yang Zhifeng
Institution:Zhang Bao1,2 Liu Jingling1 Yang Zhifeng1(1.State Key Laboratory of Water Environment Simulation,School of Environment,Beijing Normal University,Beijing 100875,China,2.China National Environmental Monitoring Center,Beijing 100012,China)
Abstract:Urban river system is the most vulnerable point of water environment management for river basin. In view of problems of bad hydrodynamic conditions, organic pollution and eutrophication, a QUAL2K model was applicated to predict the temporal and spatial variation of water quality in urban river system. And then, the proper and effective measures were explored for environmental management and pollution control of Beihuan water system. Modeling results showed that fitness of the model could reach 0.9135 after repeated adjustment, and the relative deviation between simulation and field value was less than 20% for water temperature, dissolved oxygen, COD, TN, TP and Chl-a. Therefore, the model was of high accuracy and could be used to simulate and predict the water environment changes in Beihuan water system. Under the water environment enhancement scenarios of doubling the quantity of source water and diminution of the point and non-point pollutions along the way, the water quality in different sections was improved in varying degrees. And efficiency for the three water environment improvement measures of point and non-point source co-elimination doubling the quantity of source water and point source elimination only is in a descending manner, which indicated that the non-point pollution is the major pollution and it is necessary to take water quantity-quality co-scheduling measures for the management of Beihuan water system.
Keywords:urban river system  QUAL2K model  prediction  pollution control  Beihuan river system
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