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首页> 外文期刊>E3S Web of Conferences >Enhancing Extreme Weather Early Warning Systems in Upper Bekasi River Basin Through Coupled Hydro-meteorological Model
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Enhancing Extreme Weather Early Warning Systems in Upper Bekasi River Basin Through Coupled Hydro-meteorological Model

机译：通过耦合水气象模型增强上贝卡西河流域的极端气象预警系统

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摘要

Flooding is frequently emerging events in the Upper Bekasi river basin and causes economic loss, property damage, loss of life, and even hinders sustainable development. Torrential rain is one of the natural hazards that often triggers flooding, especially in watersheds that have undergone land use changes. One of the mitigation efforts that can be carried out by the vicinity community, government, private enterprises and other stakeholders is by utilizing an early warning system. This study will delineate the successful use of coupled hydro-meteorological models to predict flooding in various regions of the world with different climatic and terrestrial characteristics. However, in order for an early warning system to be effective and improve community resilience, four vital elements of early warning systems are recommended to be fulfilled, namely risk knowledge, monitoring and warning services, dissemination and communication, and response capability. Therefore, this study will compile how coupled hydro-meteorological model is utilized properly to generate an effective early warning system so that thriving sustainability can be achieved.
机译：洪水往往是上贝卡西河流域的新兴事件，并导致经济损失，财产损失，生命丧失，甚至阻碍可持续发展。暴雨是一种自然灾害之一，通常触发洪水，特别是在经过土地利用变化的流域。由附近社区，政府，私营企业和其他利益相关者可以开展的缓解努力是利用预警系统。本研究将描绘成功使用耦合的水力气象学模型，以预测世界各地的洪水，具有不同的气候和陆地特征。然而，为了提前预警系统有效和改善社区恢复力，建议满足四个早期预警系统的重要元素，即风险知识，监测和警告服务，传播和沟通以及响应能力。因此，本研究将编制耦合的水流模型如何适当地利用以产生有效的预警系统，以便可以实现培养可持续性。

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