基于不同算法的呼兰河流域SWAT模型参数率定及适用性分析

Parameter calibration and applicability analysis of SWAT model in Hulan River basin based on different algorithms

为讨论SWAT模型在高寒区流域的适用性,以松花江支流呼兰河流域为例,选取呼兰河兰西水文站2008—2018年的实测水文资料,以月为尺度构建SWAT模型,分别使用PSO算法和SUFI-2算法校准模型并进行径流模拟,采用决定系数(R^(2))和纳什效率系数(NSE)评价SWAT模型的适用性。结果表明:PSO算法在率定期及验证期的R^(2)和NSE分别为0.56、0.54和0.64、0.59,SUFI-2算法在率定期及验证期的R^(2)和NSE分别为0.74、0.74和0.71、0.70,两种优化算法都满足R^(2)与NSE均大于0.5的精度要求。SUFI-2算法更适用于研究区域,能更好地模拟呼兰河流域径流过程。

In order to discuss the applicability of SWAT model in the high-cold basin,a tributaries of Songhua River Hulan River basin is taken,as an example,measured hydrological data of Hulan River Lanxi hydrological Station for 11 years from 2008 to 2018 is selected,SWAT model on a monthly scale is constructy,and PSO algorithm and SUFI-2 algorithm are used respectively to calibrate the model and conduct runoff simulation.Determination coefficient(R^(2))and Nash efficiency coefficient(NSE)were used to evaluate the applicability of SWAT model.The results show that:The R^(2)and NSE of the PSO algorithm in the rate interval and validation period are 0.56,0.54 and 0.64 and 0.59,respectively;the R^(2)and NSE of the SUFI-2 algorithm in the rate interval and validation period are 0.74,0.74 and 0.71 and 0.70,respectively.Both algorithms meet the accuracy requirements that the R^(2)and NSE are greater than 0.5.In contrast,SUFI-2 algorithm is more suitable for this study area and can better simulate the runoff process of Hulan River basin.