珠江流域大尺度陆面水文耦合模式的构建及应用
作者:
作者简介:

朱永楠 (1985-),女,北京人,博士研究生,主要从事陆面水文模式研发及其应用研究。 E-mail:zhuyongnan@mail.iap.ac.cn

中图分类号:

P333

基金项目:

国家自然科学基金项目(41175073);中国科学院战略性先导科技专项(XDA05110000);


Development of Large Scale Coupled Land Surface and Hydrologic Model System and Its Application in Pearl River Basin
Author:
  • ZHU Yongnan

    ZHU Yongnan

    1.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China; 2. ICCES, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; 3. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 201198, China
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  • LIN Zhaohui

    LIN Zhaohui

    1.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China; 2. ICCES, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; 3. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 201198, China
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  • HAO Zhenchun

    HAO Zhenchun

    1.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China; 2. ICCES, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; 3. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 201198, China
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    摘要:

    以珠江流域为研究对象,通过更新陆面水文模式所需的下垫面参数数据库,建立适合于珠江流域的大尺度陆面水文耦合模式系统,并利用该模式开展了19632006年流域水文水循环过程的数值模拟,通过与实测流量比较,系统考察了陆面水文耦合模型对珠江流域水循环各分量的模拟性能。分析结果表明,该陆面水文耦合模式对珠江流域年平均各水循环要素具有良好的模拟能力;模式对珠江流域干流主要控制水文站的月平均流量也有较高的模拟精度,模式模拟的水量平衡系数均接近1,相关系数均高于0.84,IOA相似度系数均高于0.9;相对而言,模式对流量峰值的模拟能力还有待提高。

    Abstract:

    In this paper, we updated the digital watershed data set of a coupled land surface and hydrologic model system (CLHMS) for the Pearl River Basin. The water cycle process of the Pearl River Basin during 1963-2006 was simulated using CLHMS. We evaluated the simulation ability of each water cycle component with the measured stream flow. The results show reasonable interannual responses of dominant water cycle components and good skills in simulating the monthly river flow of main stream. The wa - ter balance indexes (WBI) are close to 1, the Pearson correlation coefficient (PMC) are above 0.84,the IOA similarity coefficient are above 0.9, the skill of peak flow simulation still need to be improved.

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历史
  • 收稿日期:2014-08-20
  • 在线发布日期: 2022-06-21