华北衡水湖湿地的水质评价  

Water quality evaluation for the Hengshui Lake wetland in northern China

作　　者：江春波[1] 张明武[1] 杨晓蕾[1] 

机构地区：[1]清华大学水利水电工程系,水沙科学及水利水电工程国家重点实验室,北京100084

出　　处：《清华大学学报（自然科学版）》2010年第6期848-851,共4页Journal of Tsinghua University(Science and Technology)

基　　金：国家自然科学基金资助项目(90610028);国家“九七三”基础研究计划(2006CB403304);水沙科学及水利水电工程国家重点实验室课题(2008-ZY-5)

摘　　要：为了综合防治湿地水环境污染,对华北衡水湖湿地的水质数据进行了评价。应用了4种不确定性模型(模糊模型、灰色模型、物元分析、人工神经网络法),分析了衡水湖湿地年内水位、水温、溶解氧浓度和氨氮浓度的变化。利用环境流体动力学模型(EFDC)模拟,与衡水湖2003年的实测水质监测数据进行比较。结果表明:衡水湖水质基本为四类水到五类水;与其他3种方法的评价结果相比,人工神经网络法能够较为客观的评价衡水湖湿地水质;EFDC模型可以应用于衡水湖的水环境模拟预测。The water quality data were evaluated for the Hengshui Lake wetland in northern China to improve control of environmental pollution of water wetlands.Four uncertainty models（artificial neural network（ANN）,fuzzy logic model,grey model and matter element method） were used to evaluate the water quality data including the water level,temperature,dissolved oxygen concentration,ammonia and nitrogen concentration in one year.Data for 2003 were used to verify an environmental fluid dynamics code（EFDC） model with simulated results then compared with other data.The results show that the Hengshui Lake water quality is grades IV to V.The ANN model more effectively evaluates the Hengshui Lake water quality than the other three methods.The results show that the EFDC model can be to accurately predict the water quality of the Hengshui Lake.

关 键 词：衡水湖湿地 不确定性模型 环境流体动力学模型(EFDC) 

分 类 号：X824[环境科学与工程—环境工程]