变化环境下水文模型在洛阳河流域中的应用

为了提高通胜山丘区来水模拟精度,解决通胜地区防洪安全问题,分析了洛阳河流域下垫面土地利用类型,并基于遗传算法构建水文模型进行洪水模拟。结果表明,近20年来,在现有气候、下垫面等变化环境下,洛阳河流域下垫面不同土地类型面积变化较大,快速城镇化使得旱地明显减少,水田增加11%,水面基本保持不变,水文模型参数也在发生动态变化,新水文参数与原始水文参数相差较大,前者模拟结果在径流深、洪峰、峰现时间、确定性系数4个方面均明显优于后者,可见基于遗传算法优化的水文模型参数能较好地反映现状下垫面水文情景。

Applied of Hydrological Model in Luoyang River Basin under Changing Environment

In order to improve the accuracy of water simulation in Tongsheng hilly area and solve the problem of flood control safety in Tongsheng area, taking Luoyang River basin as an example, the land use types of underlying surface were analyzed, and a hydrological model was constructed based on genetic algorithm for flood simulation. Results show that over the past 20 years, considering the present climate, underlaying surface and so on, the area of different land types on the underlying surface of Luoyang River basin has changed greatly. Rapid urbanization has significantly reduced the dryland, increased the paddy field by 11%, and kept the water surface unchanged. The parameters of the hydrological model are also changing dynamically. The new hydrological parameters are significantly different from the original hydrological parameters. The simulation results of the former are obviously better than the latter in terms of runoff depth, flood peak, peak time and determination coefficient. It can be seen that the hydrological model parameters based on genetic algorithm can better reflect the hydrological situation of the underlying surface.