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淮河沙颖河段水质预报系统的设计与实现

Design and Implementation of Water Quality Prediction Systems of Shaying River

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【作者】 李宁黄刘生陈国良

【Author】 Li Ning Huang Liusheng Cheng Guoliang (National High Performance Computing Center Dept of Comput.Sci.& Tech.,Univ of Sci.& Tech of China,Hefei 230027)

【机构】 国家高性能计算中心中国科学技术大学计算机系!合肥 230027

【摘要】 沙颖河流域两岸的小工业企业很多,水质指标COD、BOD、NH3-N、NO3-N、DO平均浓度大大超过了国家《污水综合排放标准》三级标准,是淮河水系污染最为严重的的一级大支流,也是我国水质预报难点之一。该文利用已有的数据和经验,参考 MIKE11-河流和水道模型系统,珠江口三角洲网河与伶仃洋多口门衔接水利计算等模型,根据沙颖河具体的水质特点,提出了一个水质模型,并在此基础上设计和实现了沙颖河段水质预报系统。其目的是通过预报,制定因沙颍河污水突然下泄时下游应采取的相应措施,为防污决策人员提供科学的数据,以便下游采取措施进行防范,减轻淮河干流水质污染。实践证明,该系统达到了设计要求。

【Abstract】 With many small industrial corporations along its banks,Shaying River,whose water quality indexes such as COD、BOD、NH3-N、NO3-N、DO have by far exceeded the third criterion of the national "General Drainage Standard of Polluted Water",is the most polluted branch of the Huaihe River water system and is a nodus of water pollution prediction in China. Using the existing datas and experiences,along with references to the MIKE-11 system of riverchannel model and many other models,we bring forward a water quality model and,based on this model,we design and implement the water quality prediction system of Shaying River. Our aim is,through prediction,to supply scientific datas for pollution-defence-decision-makers, so that defense steps can be carried out at the lower reaches to reduce the pollution of the artery of Huaihe River. Practices shows that the system has reached the aim.

【关键词】 决策支持系统C/S结构CGI
【Key words】 decision-making systemC/S frameCGI
【基金】 国家863重点资助项目!(编号:863-306-ZD06-02-2)
  • 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2001年08期
  • 【分类号】TP399
  • 【被引频次】2
  • 【下载频次】120
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