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作 者:谷新晨 肖森元 杨广 何新林 赵琪 张亮 李冬波 GU Xinchen;XIAO Senyuan;YANG Guang;HE Xinlin;ZHAO Qi;ZHANG Liang;LI Dongbo(Key Laboratory of Modern Water-saving Irrigation,College of Water and Architectural Engineering,Shihezi University,Shihezi 832000,China;Hydrology Bureau of Xinjiang Uygur Autonomous Region,Urumqi 830000,China)
机构地区:[1]石河子大学水利建筑工程学院/现代节水灌溉兵团重点实验室,新疆石河子832000 [2]新疆维吾尔自治区水文局,新疆乌鲁木齐830000
出 处:《水资源与水工程学报》2021年第2期116-123,共8页Journal of Water Resources and Water Engineering
基 金:国家自然科学基金-新疆联合基金重点项目(U1803244);新疆维吾尔自治区2020年自治区研究生科研创新项目(XJ2020G119);兵团重大科技项目(2017AA002);兵团中青年科技创新领军人才项目(2018CB023)。
摘 要:缺乏历史气象资料地区的水文模拟是制约流域模型发展和人们对流域水资源认识的重要因素之一。选取玛纳斯河流域作为研究区,运用CMADS和SWAT模型对该流域的水文过程进行了模拟,最后使用SWAT-CUP对模拟径流量进行了校正。通过参数灵敏度分析、参数标定与验证,选取NSE、R^(2)和PBIAS统计指标进行评价。选取的9个敏感性水文参数的最终取值均在合理范围内,且在月尺度与日尺度的径流量过程模拟中,3个统计指标在校准与验证期间均处于最优区间,该模型的模拟值与实测值拟合良好,可用作后续的研究与应用。结果表明:利用CMADS和SWAT模型能够较好地模拟玛纳斯河流域的水文过程。在缺乏历史气象资料的地区,CMADS可提供时间连续、类型详细和空间分辨率高的气象数据,构建更高精度的水文模型。Hydrological simulation in areas lacking historical meteorological data is one of the limiting factors that hinders the development of watershed models and people’s understanding of water resources.We selected Manas River Basin as the research area,and simulated its hydrological process using CMADS and SWAT model.Then the simulated runoff was calibrated using SWAT-CUP.According to the parameter sensitivity analysis,parameter calibration and validation,NSE,R^(2) and PBIAS were selected for the evaluation.It is found that the final values of the 9 hydrological parameters are all in a reasonable range,and the three statistical indices are in the optimal range during calibration and verification period in the monthly and daily runoff simulation.The simulation value of the model is well fitted with the measured value,indicating that this model can be used for subsequent research and application.The results show that the CMADS and SWAT model is applicable to the reproduction of the hydrological process of Manas River Basin.The meteorological data provided by CMADS is of continuous time,with detailed type classification and high spatial resolution,which is beneficial to the construction of hydrological models with higher accuracy in areas lacking historical meteorological data.
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