| Issue |
MATEC Web Conf.
Volume 229, 2018
International Conference on Disaster Management (ICDM 2018)
|
|
|---|---|---|
| Article Number | 04011 | |
| Number of page(s) | 6 | |
| Section | Improving Lesson Learnt in Disaster Management | |
| DOI | https://doi.org/10.1051/matecconf/201822904011 | |
| Published online | 14 November 2018 | |
The use of rapid assessment for flood hazard map development in upper citarum river basin
1 Directorate General of Water Resources, Ministry of Public Works and Housing, 12110 20th Pattimura Street, Kebayoran Baru, Jakarta Selatan, Indonesia
2 Center for Water Resources Development, Institute for Research and Community Services, Institut Teknologi Bandung, 40132 10th Ganeca Street, Bandung, Indonesia
3 Water Resources Engineering Research Group, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, 40132 10th Ganeca Street, Bandung, Indonesia
4 Directorate General of Highway, Ministry of Public Works and Housing, 12110 20th Pattimura Street, Kebayoran Baru, Jakarta Selatan, Indonesia
* Corresponding author: idham.moe@gmail.com
Flood is a natural disaster that can occur at any time and anywhere. The flood disaster causes material and non-material loss, then in order to increase the resilience to disaster, an early warning system is needed. The data is indispensable as a reference to make an early warning system. Unfortunately, flood assessment in purpose to record the data is often conducted much later after the event occurs. Therefore, this research was conducted to do modelling of flood hazard map is quantitatively and validated with observation data as a form of rapid flood assessment. The location of this study is in the Upper Citarum River Basin, around Bandung basin. The model is well done if the result shows the location of the flood as illustrated as the observational data. The result shows fair agreement with observed data where some points of inundated areas are captured and the location of inundated areas from modelling result looks similar to the inundated area from observation data.
© The Authors, published by EDP Sciences, 2018
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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