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Enhancing Early Warning System In The Upper Bekasi Watershed Through The Employment Of Hydrometeorological Model

Mawardi, Nizam (2021) Enhancing Early Warning System In The Upper Bekasi Watershed Through The Employment Of Hydrometeorological Model.

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Abstract:Hydrometeorological disasters often occur around the world, including floods due to overflowing rivers. One of them is the flood in urban areas in the Upper Bekasi watershed, West Java Province, Indonesia. The selected flood-prone area is located between two tributaries, namely the Cileungsi river and the Cikeas river. Early warning systems were established to reduce the risk of flooding. However, the flood incident due to heavy rain that lasted for a long time on 1 January 2020 was classified as very severe and caused significant damages. To improve preparedness, this study uses a new hydrometeorological model, WRF-Hydro. This study aims to provide insight into the existing early warning in the study area, analyze the response to actions taken by the community and local disaster management agencies, and test WRF-Hydro's ability to simulate torrential rain. This study uses an exploratory approach to describe the early warning system that existed and an experimental approach to test the model's capabilities. This study shows how WRF-Hydro can be optimized for use by competent authorities to improve the flood early warning system.
Item Type:Essay (Master)
Clients:
University of Padjadjaran
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:43 environmental science
Programme:Environmental and Energy Management MSc (69319)
Link to this item:http://purl.utwente.nl/essays/88116
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