引用本文:刘晓,刘海涵,王丽婧,乔飞,秦延文,李虹,李小宝,等.三峡库区EFDC模型集成与应用[J].环境科学研究,2018,31(2):283-294.
LIU Xiao,LIU Haihan,WANG Lijing,QIAO Fei,QIN Yanwen,LI Hong,LI Xiaobao,et al.The EFDC Model Integration and Application in the Three Gorges Reservoir[J].Reserrch of Environmental Science,2018,31(2):283-294.]
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三峡库区EFDC模型集成与应用
刘晓1, 刘海涵1, 王丽婧2, 乔飞2, 秦延文2, 李虹2, 李小宝3
1. 重庆市环境保护信息中心, 重庆 401147;2. 中国环境科学研究院, 国家环境保护饮用水水源地保护重点实验室, 北京 100012;3. 环境保护部华南环境科学研究所, 广东 广州 510535
摘要:
为满足三峡库区大尺度的水质预测需求,降低专业水质模型使用门槛,实现模型业务化运行,采用涵盖"模型封装-接口服务-系统集成"全过程的模型封装集成技术方法,开展了EFDC模型集成研究,并在三峡库区水质安全评估与预警系统中进行验证和应用.结果表明:①基于实例化模型建立的模型预置参数库,是模型业务化运行中参数简化的前提,可有效解决模型本地驯化及模型实例的基础数据复用问题;②依据参数识别结果,将模型参数识别为"必调参数、可调参数、默认参数"三类,并采用B/S架构对输入文件、输出文件和主控文件中的不同参数进行分类封装,达到参数简化目的;③采用半紧密型方式建立的基于Web services的EFDC模型集成接口服务及标准,可为信息系统提供通用的EFDC模型计算服务;④该方法在EFDC模型与三峡库区水质安全评估与预警系统集成中得到验证,实现了全库区干流及主要支流CODCr、总磷、总氮等污染因子的长时间序列水动力水质预测联机在线运算,满足了用户在水质影响预测预警中低修改量、高运算效率和良好用户体验等需求,实现了模型的业务化运行.
关键词:  三峡库区  EFDC  模型集成  水质预测
DOI:10.13198/j.issn.1001-6929.2017.03.79
分类号:X524
基金项目:国家水体污染控制与治理科技重大专项(No.2012ZX07503-002);2017年重庆市社会事业与民生保障科技创新专项(No.cstc2017shmsA20002)
The EFDC Model Integration and Application in the Three Gorges Reservoir
LIU Xiao1, LIU Haihan1, WANG Lijing2, QIAO Fei2, QIN Yanwen2, LI Hong2, LI Xiaobao3
1. Chongqing Environmental Protection Information Center, Chongqing 401147, China;2. State Environmental Protection Key Laboratory of Drinking Water Source Protection, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;3. South China Institute of Environmental Sciences, MEP, Guangzhou 510535, China
Abstract:
In order to meet the needs of large-scale water quality prediction in the Three Gorges Reservoir (TGR) area, it is important to lower the threshold of professional water quality model and realize the business operation of the model. A model encapsulation integration technique, which covers the whole process of'model encapsulation-interface service-system integration' was used to study the integration of EFDC model, and has been tested and applied in Water Quality Safety Assessment and Early Warning System for the TGR Area. The results showed that:1) The preset parameter database based on the instantiation model were the precondition for reducing parameters to facilitate the business operation of the mode. Tt could solve the calibration problem for a certain area, and made it easy to reuse some essential data when necessary. 2) According to parameter identification results, the model parameters were firstly divided into three classes:namely the imperatively-adjusted-parameter, the adjustable-parameter and the default-parameter. Using B/S architecture, the input files, output files and master files with classified parameters were also encapsulated to achieve parameter simplification. 3) The interface services and interface standard of model integration of Environmental Fluid Dynamics (EFDC), set up by Web services with half-compact type, provided the united service of EFDC to information systems. 4) The method has been verified by Water Quality Safety Assessment and Early Warning System for the TGR Area. The on-line calculation and water quality prediction with long time series for the pollutants of CODCr, total phosphorus, total nitrogen was realized in the main stream and some tributaries of the TGR. It meets the demand of low modification, high computing efficiency and good user experience in the water quality forecast and warning, and t realized the business operation of the model.
Key words:  the Three Gorges Reservoir area  Environmental Fluid Dynamics (EFDC)  model integration  water quality prediction