E3S Web Conf.
Volume 249, 20214th International Conference on Sustainability Science (CSS2020)
|Number of page(s)||6|
|Section||Conservation, Resilience, Environmental Vulnerability and Hazard|
|Published online||07 April 2021|
Enhancing Extreme Weather Early Warning Systems in Upper Bekasi River Basin Through Coupled Hydro-meteorological Model
Environmental and Energy Management Program, University of Twente, The Netherlands
2 Centre for Environment and Sustainability Science, Padjadjaran University, Indonesia
3 State College of Meteorology, Climatology, and Geophysics, Indonesia
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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