POS优化算法在SWAT模型参数优化中的应用

摘要

当前，分布式水文模型SWAT模型在国内水文模拟中应用较为广泛，但模型参数较多，人工经验设定参数存在工作量较为繁杂，且模拟精度不高的缺陷，为此本文引入POS优化算法，对SWAT模型参数进行批量优化，并以汤河西支流域为研究区域，结合区域实测水文数据，对比分析参数优化前后，对SWAT模型模拟精度的影响。研究结果表明： POS优化算法可实现SWAT模型参数的批量优化，相比参数优化前，参数优化后SWAT模型模拟径流深相对误差减少5.7%，流量过程拟合系数提高0.118。研究成果对于水文模型参数优化和自动率定提供参考价值。%The distributed hydrological model SWAT model is widely used among domestic hydrological simu-lation at present.In order to improve the efficiency of the model parameter calibration and the accuracy of sim-ulation models,the study introduced POS optimization to optimize algorithm SWAT model parameters.By using Tang River Basin as the case study,the paper comparatively analyzed the effect of before and after parameter optimization on SWAT model simulation accuracy ,combined with the regional hydrological data.The results showed that:POS optimization algorithms allowed batch SWAT model parameter optimization, and compared to before,the relative error of after parameter optimization model simulation reduced by 5.7%, and the fitting co-efficient increased by 0.118.This research offers reference value for for hydrological model parameter optimiza-tion.