节水灌溉Issue(8)：1-10,10.DOI:10.12396/jsgg.2025504
基于群智能算法的四川省太阳辐射模型模拟研究
Simulation Study on Solar Radiation Models in Sichuan Province Based on Swarm Intelligence Algorithms
摘要
Abstract
Solar radiation(Rs)serves as the primary energy source for the Earth system,accurate estimation of Rs is crucial for enhancing the precision of regional ET0 simulations and optimizing water resource allocation.To enhance the accuracy and universality of Rs forecasting in Sichuan Province,this study divides the province into three regions(Western Sichuan Plateau,Eastern Sichuan Basin,and Southwestern Sichuan Mountainous Area).Daily meteorological data from seven representative stations spanning 1994-2016 were selected.Least squares method(LSM),Whale Optimization Algorithm(WOA),Quantum Algorithm(QA),and Quantum-Whale Optimization Algorithm(QWOA)were employed to optimize parameters for nine empirical solar radiation(Rs)models,systematically evaluating their simulation accuracy.Results indicate that sunshine duration models(N1～N3)and mixed models(M1～M3)exhibit higher simulation accuracy across different regions of Sichuan Province,while temperature models(T1～T3)demonstrate poorer accuracy.Among these,the El-Sebaii,Angstrom and Ogelman models achieved the highest simulation accuracy in the Western Sichuan Plateau,Eastern Sichuan Basin,and Southwestern Sichuan Mountainous regions,with R² values of 0.844,0.896 and 0.873,respectively.Compared with the least squares method(LSM),optimization by swarm intelligence algorithms significantly improved the simulation accuracy of solar radiation models,with the Quantum-Whale Optimization Algorithm(QWOA)demonstrating the most pronounced enhancement effect.The optimized Rs empirical models across different regions yielded R² values ranging from 0.653 to 0.935,RMSE values from 1.997 to 3.963 MJ/(m2·d),and MAE values from 1.503 to 3.021 MJ/(m2·d).Overall,it is recommended to use the QWOA-optimized sunshine duration model to estimate daily Rs values for Sichuan Province.关键词
太阳总辐射/四川省/参数优化/模型精度/量子算法/鲸鱼算法/量子-鲸鱼算法Key words
total solar radiation/Sichuan Province/parameter optimization/model accuracy/quantum algorithm/whale optimization algorithm/quantum-whale optimization algorithm分类
农业科技引用本文复制引用
杨荣坤,邢立文,崔宁博,王智慧,朱国宇..基于群智能算法的四川省太阳辐射模型模拟研究[J].节水灌溉,2026,(8):1-10,10.基金项目
四川省科技计划项目(2024YFHZ0217,2024ZHCG0101,2024YFHZ0200) （2024YFHZ0217,2024ZHCG0101,2024YFHZ0200）
中央高校基本科研业务费项目(20822041J4119) （20822041J4119）
国家自然科学基金项目(52279041). （52279041）
