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    吴辉明, 陈文龙, 杨芳, 张鹏. 高密度城市短历时强降雨洪涝灾害预报预警对策[J]. 中国防汛抗旱, 2024, 34(1): 29-35. DOI: 10.16867/j.issn.1673-9264.2023444
    引用本文: 吴辉明, 陈文龙, 杨芳, 张鹏. 高密度城市短历时强降雨洪涝灾害预报预警对策[J]. 中国防汛抗旱, 2024, 34(1): 29-35. DOI: 10.16867/j.issn.1673-9264.2023444
    WU Huiming, CHEN Wenlong, YANG Fang, ZHANG Peng. Prediction and early warning strategies for short-term heavy rainfall and flood disasters in high-density cities[J]. China Flood & Drought Management, 2024, 34(1): 29-35. DOI: 10.16867/j.issn.1673-9264.2023444
    Citation: WU Huiming, CHEN Wenlong, YANG Fang, ZHANG Peng. Prediction and early warning strategies for short-term heavy rainfall and flood disasters in high-density cities[J]. China Flood & Drought Management, 2024, 34(1): 29-35. DOI: 10.16867/j.issn.1673-9264.2023444

    高密度城市短历时强降雨洪涝灾害预报预警对策

    Prediction and early warning strategies for short-term heavy rainfall and flood disasters in high-density cities

    • 摘要: 短历时强降雨具有突发性高、降雨强度大、成灾速度快、破坏性大等特点,极易形成城市洪涝灾害,因此在洪涝灾害预报预警过程中,对其精准性、时效性、实用性提出较高要求。提出通过雨水情全覆盖监测、洪涝过程快速模拟和洪涝风险精准识别,准确快速预报预警洪涝风险位置、范围和过程,科学指导抢险布防、交通管制、人员转移、安全出行,实现短历时强降雨洪涝灾害智能化监测、快速化模拟、精准化预警,力求做到精准预报、精细调度、精确防御,为应急响应和现场救援赢得宝贵时间,最大程度减少人员伤亡和经济损失。

       

      Abstract: Short duration heavy rainfall has the characteristics of high suddenness, high rainfall intensity, fast disaster formation speed, and great destructiveness, which are prone to form urban flood disasters. It requires high accuracy, timeliness, and practicality of forecasting and early warning. This article proposes to achieve intelligent monitoring, rapid simulation, and precise warning of short-term heavy rain and flood disasters through full coverage monitoring of rainwater conditions, rapid simulation of flood processes, precise identification of flood risks, accurate and rapid prediction and warning of flood risk locations, scope, and processes, scientific guidance for emergency response and prevention, traffic control, personnel transfer, and safe travel, striving to achieve precise prediction, scheduling, and defense, win valuable time for emergency response and on-site rescue, minimize casualties and economic losses to the greatest extent possible.

       

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