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    魏永强, 刘昌军, 陈奕如, 吕倩, 张晓蕾, 马美红. 基于时空变源混合产流模型的降雨—径流过程模拟——以湖南省斗山桥水库为例[J]. 中国防汛抗旱, 2025, 35(1): 19-23, 64. DOI: 10.16867/j.issn.1673-9264.2023461
    引用本文: 魏永强, 刘昌军, 陈奕如, 吕倩, 张晓蕾, 马美红. 基于时空变源混合产流模型的降雨—径流过程模拟——以湖南省斗山桥水库为例[J]. 中国防汛抗旱, 2025, 35(1): 19-23, 64. DOI: 10.16867/j.issn.1673-9264.2023461
    WEI Yongqiang, LIU Changjun, CHEN Yiru, LYU Qian, ZHANG Xiaolei, MA Meihong. Rainfall-runoff process simulation based on the spatiotemporal variable source hybrid hydrological model — A case study of the Doushanqiao Reservoir in Hunan Province[J]. China Flood & Drought Management, 2025, 35(1): 19-23, 64. DOI: 10.16867/j.issn.1673-9264.2023461
    Citation: WEI Yongqiang, LIU Changjun, CHEN Yiru, LYU Qian, ZHANG Xiaolei, MA Meihong. Rainfall-runoff process simulation based on the spatiotemporal variable source hybrid hydrological model — A case study of the Doushanqiao Reservoir in Hunan Province[J]. China Flood & Drought Management, 2025, 35(1): 19-23, 64. DOI: 10.16867/j.issn.1673-9264.2023461

    基于时空变源混合产流模型的降雨—径流过程模拟——以湖南省斗山桥水库为例

    Rainfall-runoff process simulation based on the spatiotemporal variable source hybrid hydrological model — A case study of the Doushanqiao Reservoir in Hunan Province

    • 摘要: 在极端气候的影响下,洪水灾害频发,造成了严重的人员伤亡和经济损失。目前中小型水库的洪水灾害预警预报准确性不高,因此,以湖南省斗山桥水库为研究对象,探究了斗山桥水库流域降雨—径流过程,引入考虑土壤含水量变化和地貌水文响应单元的时空变源混合产流模型,对库区降雨—径流过程进行了模拟。结果表明,模拟结果与斗山桥多年平均月径流量对应的径流系数、径流深和径流量一致,场次洪水的预报效果较好。研究结果可为水库洪水管理提供参考借鉴。

       

      Abstract: Under the impact of extreme climate events, frequent occurrences of floods have resulted in severe human casualties and economic losses. However, the accuracy of flood early warning and forecasting for small and medium-sized reservoirs is relatively low. Therefore, this study focuses on the Doushanqiao Reservoir in Hunan Province to investigate the rainfall-runoff process and characteristics of storm-induced floods. It introduces a spatiotemporal variable source distributed hydrological model that considers changes in soil moisture and geomorphic hydrological response units to simulate the rainfall-runoff process. The model demonstrates the simulated results align with the runoff coefficient, runoff depth, and runoff volume corresponding to the multi-year average monthly runoff at Doushanqiao. The model exhibits good performance in predicting flood events, thus providing a reference for reservoir flood management.

       

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