【摘要】 基于WRF-Hydro模式构建了洪水预报模型,开展了清江流域的洪水模拟研究。利用2015～2017年9场典型洪水过程进行了流域内模式的参数率定,并基于2017～2018年4场典型洪水过程分析探讨了模型对清江流域洪水的模拟效果。结果表明:在率定及验证期的13场典型洪水过程的逐小时模拟中,纳什效率系数介于0.50～0.94之间,单洪峰过程的模拟效果整体优于多洪峰过程。本研究构建的基于WRF-Hydro模式的洪水预报模型能够适用于地形复杂的清江流域,为进一步构建类似区域的大气-水文耦合预报模型奠定了基础。更多还原

【Abstract】 This paper constructed a flood forecast model based on WRF-Hydro model in the Qingjiang River basin, and calibrated the model parameters by using 9 typical flood events in 2015-2017. Besides, it analyzed the effects of flood simulation based on 4 typical flood events in 2017-2018. The results show that the Nash efficiency coefficients are between 0.50 and 0.94 in the hourly simulation of 13 typical flood events during the calibration and validation periods. In general, the simulation effects of single flood peak events perform better than that of multi flood peak events. The constructed flood forecast model based on WRF-Hydro model can be applied to Qingjiang River basin with complex terrain, which lays a foundation for further construction of atmospheric-hy-drological coupling forcast model in similar areas.更多还原