不同融合降水数据驱动的WRF-Hydro模型对中小流域山洪模拟的适用性
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(1.河海大学水灾害防御全国重点实验室;2.河海大学水文水资源学院;3.杭州市水文水资源监测中心 )

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齐晟慰(2001—),男,硕士研究生,主要从事水文水资源研究。Email:1779923900@qq.com

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基金项目:

国家自然科学基金项目(42271020,U25A20752);浙江省水利科技计划项目(RA2401)


Applicability of WRF-Hydro model driven by different precipitation fusion data in mountain torrent simulation of medium- and small-sized watersheds
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(1.StateKey Laboratory of Water Disaster Prevention, Hohai University;2.Collegeof Hydrology and Water Resources, Hohai University;3.HangzhouHydrology and Water Resources Monitoring Center)

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    摘要:

    以具有较高精度的融合降水产品CMORPH与CMFD作为模型输入,以新安江流域上游屯溪流域2013—2018年18场洪水过程为研究对象,分析了两种融合降水产品在屯溪流域降水量的时空分布特征,探究了两种融合降水数据驱动WRF-hydro模型对中小尺度流域山洪过程模拟的适用性。结果表明:对比站点观测降水,CMORPH融合降水数据在降水峰值、降水量方面精度更高,而CMFD融合降水数据高估了流域降水量,尤其对降水峰值高估更明显,同时CMORPH融合降水数据在不同时间尺度上均有更高的精度;基于CMORPH融合降水数据的模拟结果中,仅3场洪水模拟结果纳什系数小于0.8(其中1场小于0.7),总合格率为94%,达到甲级精度;基于CMFD融合降水数据的洪水模拟总合格率为67%,为丙级精度;WRF-hydro模型对大洪水的模拟精度优于小洪水过程;高分辨率CMORPH融合降水数据驱动的WRF-Hydro模型能够很好地适用于中小流域的山洪过程模拟。

    Abstract:

    The high-precision precipitation fusion products CMORPH and CMFD were used as model inputs, and 18 flood events of the Tunxi Watershed in the upper reaches of the Xin’an River Basin from 2013 to 2018 were taken as the research object. The temporal and spatial distribution characteristics of rainfall by the two precipitation fusion products in the Tunxi Watershed were analyzed, and the applicability of the WRF-Hydro model driven by two types of precipitation fusion data to the simulation of mountain torrent processes in medium- and small-sized watersheds was explored. The results show that compared with the measured precipitation at the site, the CMORPH precipitation product has higher accuracy in terms of peak precipitation values and precipitation amount, while the CMFD product generally overestimates the precipitation amount, especially the peak precipitation values. At the same time, CMORPH precipitation product has higher accuracy on different time scales. In the simulation results based on CMORPH precipitation fusion data, only the Nash coefficient of three flood simulation results is less than 0.8 (one of which is less than 0.7), and the total qualified rate is 94%, reaching the grade A accuracy. The total qualified rate of flood simulation based on CMFD precipitation fusion data is 67%, which is grade C accuracy. Moreover, the model’s simulation accuracy for large floods is better than that of small flood processes. In general, the WRF-Hydro model driven by high-resolution CMORPH precipitation fusion product can be well applied to mountain torrent process simulation in medium- and small-sized watersheds.

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齐晟慰,谷黄河,王玉明,等.不同融合降水数据驱动的WRF-Hydro模型对中小流域山洪模拟的适用性[J].河海大学学报(自然科学版),2026,54(2):45-52, 62.(Qi Shengwei, Gu Huanghe, Wang Yuming, et al. Applicability of WRF-Hydro model driven by different precipitation fusion data in mountain torrent simulation of medium- and small-sized watersheds[J]. Journal of Hohai University (Natural Sciences),2026,54(2):45-52, 62.(in Chinese))

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  • 收稿日期:2024-10-06
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  • 在线发布日期: 2026-04-04
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