首页|CMADS与传统气象站数据驱动下的SWAT模型模拟效果评价以——苦水河流域为例

CMADS与传统气象站数据驱动下的SWAT模型模拟效果评价以——苦水河流域为例

Evaluation of Runoff Simulation Effects of the SWAT Model Driven by CMADS and Traditional Meteorological Station Data——Taking the Case Study in Kushui River Basin

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为探究传统气象站数据和中国大气同化数据集(CMADS)驱动下的SWAT模型在气象站稀缺的干旱流域径流模拟效果,分别利用上述两种气象数据驱动宁夏苦水河流域SWAT模型,并以水文站实测月径流资料对模型进行了参数率定及验证.结果表明:率定期( 2008-2012 年) CMADS 和常规气象数据支撑下的模型纳什系数分别为0.846 和0.642,决定系数分别为0.741和0.597;验证期(2013-2016 年)模型纳什系数分别为0.816和0.619,决定系数分别为0.752和0.628,即CMADS驱动的模拟精度高于传统气象站数据的模拟精度,CMADS可为缺少气象数据的区域建立SWAT模型提供数据支撑和精度保证.
To explore the runoff simulation effect of the SWAT model driven by CMADS dataset and traditional meteorological station data in the arid area where meteorological data is insufficient , the two SWAT models based on the datasets mentioned above were built separately with them being calibrated and verified under the support of the measured monthly runoff data from the hydrological station .The results showed that over the period of calibration (2008-2012), Nash-Suttcliffe efficiency coefficients of the two types of model were 0.846 and 0.642, and the coefficient of determination were 0.741 and 0.597.At the verification stage from (2013-2016), the Nash-Suttcliffe efficiency coefficients were 0.816 and 0.619 with coefficients of determination being 0.752 and 0.628 respectively.The simulation effect uncovered that the model moved by the CMADS data is more reliable than that supported by traditional meteorological data , indicating that CMADS can provide basic data and accuracy guarantee in construction of the SWAT model in the arid basin lacking meteorological data .

SWATmeteorological datarunoff simulationmodel verification

张春辉、王炳亮

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宁夏大学土木与水利工程学院,银川750021

教育部旱区现代农业水资源高效利用工程研究中心,银川750021

SWAT模型 气象数据 径流模拟 模型验证

宁夏高等学校一流学科建设项目(水利工程)

NXYLXK2017A03

2018

中国农村水利水电
水利部中国灌溉排水发展中心 水利部农村水电及电气化发展局 武汉大学 中国国家灌溉排水委员会

中国农村水利水电

CSTPCD北大核心
影响因子:0.655
ISSN:1007-2284
年,卷(期):2018.(6)
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