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黄河流域时变增益分布式水文模型(Ⅱ)——模型的校检与应用 被引量:10

A distributed time-varying gain model applied to Yellow River Basin
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摘要 针对分布式水文的应用问题,结合黄河流域时变增益分布式水文模型,在黄河流域进行了实例研究.对黄河干流17个主要流量控制站进行了连续径流模拟.模拟总水量同实测总水量的相对误差在5%以内,其中有11个站效率系数(确定性系数)在0.8以上,其余的也在0.7以上.最后,运用模型分析了气候变化与人类活动对黄河流域降雨产流的影响. There is a gap between theory and application of distributed hydrology model. According to the application of distributed hydrology model, this paper has carried out a case study on the Yellow River Basin. Observed stream flow at 17 hydrological stations along the main river was used to calibrate the model. The relative errors between simulated and observed water yields were within 5 % ; among the 17 sites, the Nash-Suteliffe Efficiency Criterions (NSECs) of the 11 sites were greater than 0.80, while all NSECs were greater than 0.70. Finally, the paper analyzed the impact of climate changes and human activities on the Yellow River Basin.
出处 《武汉大学学报(工学版)》 CAS CSCD 北大核心 2006年第4期29-32,共4页 Engineering Journal of Wuhan University
基金 国家自然科学基金项目(50239050) 高等学校博士点基金项目(20040486038)资助
关键词 分布式时变增益模型 气候变化 人类活动 黄河 distributed time-varying gain model climate changes human activities Yellow River
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