考虑径流成分的雅鲁藏布江月径流模拟
发布时间：2019-08-07 08:11
【摘要】：通过构建雅鲁藏布江流域分布式水文模型SWAT,并以1989~1998年为率定期,1999~2005年为验证期对3个水文站(奴各沙、羊村、奴下)的月径流进行了模拟。从模型参数组里选取径流成分模拟不同的2组参数,以Nash-Sutcliffe效率系数(NS)、相关系数(R~2)及相对误差(PBIAS)为评价指标,来分析模型的模拟结果好坏。结果表明:率定期内,在径流成分1下奴各沙、羊村站和奴下站的R~2值高达0.9以上,NS系数分别为0.9、0.92和0.72,PBIAS的值为7.1%、18.5%及34.2%,但径流成分与实际情况出入较大。而径流成分2下,模拟得到的评价指标虽然不是很高,但径流成分比较合理。验证期总体结论一致。因此,建议在模型率定验证中要充分考虑径流成分的作用,从而提高模型模拟的精度。
[Abstract]:By constructing the distributed hydrological model SWAT, of Yarlung Zangbo River Basin, the monthly runoff of three hydrologic stations (Nugesha, Yangcun, Nuxia) was simulated with the rate from 1989 to 1998 and the verification period from 1999 to 2005. Two groups of parameters with different runoff components were selected from the model parameter group, and the Nash-Sutcliffe efficiency coefficient (NS), correlation coefficient (R 鈮，
本文编号：2523828
[Abstract]:By constructing the distributed hydrological model SWAT, of Yarlung Zangbo River Basin, the monthly runoff of three hydrologic stations (Nugesha, Yangcun, Nuxia) was simulated with the rate from 1989 to 1998 and the verification period from 1999 to 2005. Two groups of parameters with different runoff components were selected from the model parameter group, and the Nash-Sutcliffe efficiency coefficient (NS), correlation coefficient (R 鈮，
本文编号：2523828
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