Issue |
E3S Web Conf.
Volume 328, 2021
International Conference on Science and Technology (ICST 2021)
|
|
---|---|---|
Article Number | 04019 | |
Number of page(s) | 7 | |
Section | Information System, Big Data, Design Application, IOT | |
DOI | https://doi.org/10.1051/e3sconf/202132804019 | |
Published online | 06 December 2021 |
GIS Based Method for Flood Hazard Assesment in Kobe River Watershed - North Maluku Province
1 Civil Department, Engineering Faculty, Khairun University, 97718, Ternate, Indonesia
2 Mechanical Department, Engineering Faculty, Khairun University, 97718, Ternate, Indonesia
3 North Moluccas River Basin Office, 97716, Ternate, Indonesia
4 Marine Resources Management, Fisheries and Marine Faculty, Khairun University, 97718, Ternate, Indonesia
* Corresponding author: nani.nagu09@gmail.com
The objectives of this study are to mapping the hazard-prone area and to analyse the flood vulnerability index in Kobe Watershed, Central Halmahera District. In order to determine the optimal selection of weights for the factors that contribute to flood risk, GIS and multi-criteria decision analysis (MCDA) were used in conjunction with the application of the analytical hierarchy process (AHP) method to create the flood hazard map. The flood hazard map was generated by using selected hazard factors including land use, topography, slope, and rainfall pattern. The result shows that the Kobe River basin is a flood-prone area, with 77.46 percent of its land classified as less prone to flooding and 21.41 percent classified as flood-prone. However, only 21.41 percent of its land is classified as flood-prone. Only 1.13 percent of the land is protected from the danger of floods, compared to the whole country. The altitude factor is the most important element influencing flood susceptibility in Weda District, where the majority of the land (16.34 percent) is located at or below sea level, making it particularly vulnerable to flooding.
Key words: Kobe River Basin / Flood Hazard Assessment / GIS
© 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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