摘要
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 and0.642,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.
作者
张春辉
王炳亮
ZHANG Chun-hui;WANG Bing-liang(School of Civil Engineering and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China;The Center of Engineering Research on Modem Agricultural Water Resources Efficient Utilization in Arid Region, Yinchuan 750021, China)
出处
《中国农村水利水电》
北大核心
2018年第6期52-57,共6页
China Rural Water and Hydropower
基金
宁夏高等学校一流学科建设项目(水利工程)(NXYLXK2017A03)
