摘要
针对确定综合产流模型的参数与模型精度关系密切,提出了将遗传模拟退火算法应用于综合产流模型的参数优化中,并以汤河水库流域为例进行了径流预报。结果表明,该法有效、可行,对改善综合产流模型初始优化参数、提高洪水预报模型的预报精度具有一定的理论研究意义和实际应用价值。
Parameters of integrated runoff yield model are significantly related to the model precision. The hybrid simulated annealing and genetic algorithm is used to the parameter estimation of integrated runoff yield model. Taking Tanghe Reservoir Basin for an example, runoff is forecasted. The results show that the proposed method is effective and feasible, which has meanings of theory research and application value for enhancing flood forecasting precision and improving the parameter optimization of integrated runoff yield model.
出处
《水电能源科学》
北大核心
2010年第4期9-10,27,共3页
Water Resources and Power
关键词
径流预报
遗传模拟退火算法
参数优选
综合产流模型
汤河水库
runoff forecasting
hybrid simulated annealing and genetic algorithm
parameter calibration
integrated runoff yield model
Tanghe Reservoir
