| Issue |
BIO Web Conf.
Volume 234, 2026
The Frontier in Sustainable Agromaritime and Environmental Development Conference (FiSAED 2025)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 13 | |
| Section | Science and Technology for Sustainable Agromaritime | |
| DOI | https://doi.org/10.1051/bioconf/202623402002 | |
| Published online | 23 April 2026 | |
Evaluation of the accuracy level of landslide vulnerability maps for various rainfall models
1 Study Program of Civil and Environmental Engineering, Faculty of Engineering and Technology, IPB University, Bogor, 16680, Indonesia
2 Division of Sustainable Infrastructure Engineering, Faculty of Engineering and Technology, IPB University, Bogor, 16680, Indonesia.
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The Regional Disaster Management Agency (BPBD) and Communication and Information Agency (Diskominfo) of Garut Regency recorded seven landslide events in 2020 and nine in 2023 in the Banjarwangi District. These events were triggered by steep to very steep slopes with landslide-prone soil and rock types, and heavy rainfall. This study aimed to evaluate the accuracy of landslide hazard maps for various rainfall models, including daily, decadal, monthly, and annual rainfall, validated landslide occurrence points with the DVMBG 2004 method. The evaluation results showed that the maximum rainfall model had a hazard classification of 12,055.3 ha. The average rainfall model showed a less vulnerable classification, covering an area of 9,253.45 ha. Rainfall levels affect the classification of vulnerability, thereby impacting the accuracy. The results of evaluating the accuracy of landslide vulnerable suitability for various rainfall models showed a low accuracy of 45.5%. Therefore, further analysis is required to improve the accuracy of landslide vulnerability maps.
© The Authors, published by EDP Sciences, 2026
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