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-a等水质指标模拟相对误差都在20%以内,证明模型的模拟精度较高,能够应用于北环水系水环境的模拟、预测。源头水量增倍、削减沿途点、面源等水环境改善措施情景下,北环水系各断面水环境指标都有不同程度的改善,不同措施对其水环境的改善效果从高到低顺序为削减点、面源>加倍源头水量>削减点源,说明面源污染是北环水系主要的污染负荷,并反映出北环水系水环境改善需要水质、水量联合治理。
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.
出处
《环境工程学报》
CAS
CSCD
北大核心
2011年第1期16-22,共7页
Chinese Journal of Environmental Engineering
基金
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)
关键词
城市水系
QUAL2K模型
预测
污染控制
北环水系
urban river system
QUAL2K model
prediction
pollution control
Beihuan river system
