Issue |
MATEC Web Conf.
Volume 270, 2019
The 2nd Conference for Civil Engineering Research Networks (ConCERN-2 2018)
|
|
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Article Number | 04010 | |
Number of page(s) | 6 | |
Section | Water Resources Engineering and Management | |
DOI | https://doi.org/10.1051/matecconf/201927004010 | |
Published online | 22 February 2019 |
Study of flood characteristic in Cikalumpang River by using 2D flood model
1
Center for Water Resources Development, Institute for Research and Community Services, Institut Teknologi Bandung, Bandung, Indonesia
2
Directorate General of Water Resources, Ministry of Public Works and Housing, Jakarta Selatan, Indonesia
3
Water Resources Engineering Research Group, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Bandung, Indonesia
4
Cidanau-Ciujung-Cidurian River Basin Agency, Ministry of Public Works and Housing, Serang, Indonesia
* Corresponding author: akbar.d.rizaldi@gmail.com
Flood is one of the natural disasters that occur in Indonesia frequently. At least there are 8.498 occurrences since 1980 through Indonesia. In order to prevent and resolve that natural disaster, some actions should be done. To know the best solution to solve flood, we should know the flood characteristic (what causes it, the inundation area, the height, how long it occurs, and etc.). The characteristic of flood will be easily known only when the flood occurs. Thus, it is necessary to build a model with high accuracy. The model was obtained by re-modeling the inundation incident that happened on March 7th, 2018, and validated with observed data from several locations in that period. The result shows a good agreement with the observed data. This is evident from the extent and depth of the puddle from the modeling results similar to the value of field observation data. From the results, it can be concluded that the Cikalumpang River model has been obtained with a good correlation. From field observations, it is known that flooding is caused by quite complex problems, such as decreasing river capacity due to illegal building construction, sedimentation, land cover change, and climate change.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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