首页|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

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

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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(R2)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R2 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R2 和NSE分别为0.74、0.74 和0.71、0.70,两种优化算法都满足R2 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.
Parameter calibration and applicability analysis of SWAT model in Hulan River basin based on different algorithms
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(R2)and Nash efficiency coefficient(NSE)were used to evaluate the applicability of SWAT model.The results show that:The R2 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 R2 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 R2 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.

SWAT modelcold regioncalibration algorithmparameter calibrationapplicability analysis

陈志昂、孙颖娜、张丽娜

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黑龙江大学 水利电力学院,哈尔滨 150080

黑龙江大学 中俄寒区水文和水利工程联合实验室,哈尔滨 150080

SWAT模型 寒区 校准算法 参数率定 适用性分析

国家自然科学基金黑龙江省高校基本科研业务费科技创新项目

412021712018-KYYWF-1570

2024

黑龙江大学工程学报
黑龙江大学

黑龙江大学工程学报

影响因子:0.358
ISSN:2095-008X
年,卷(期):2024.15(2)
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