| Issue |
MATEC Web Conf.
Volume 402, 2024
The 4th International Conference on Engineering, Technology, and Innovative Researches (The 4th ICETIR 2022)
|
|
|---|---|---|
| Article Number | 03003 | |
| Number of page(s) | 6 | |
| Section | Geological Engineering | |
| DOI | https://doi.org/10.1051/matecconf/202440203003 | |
| Published online | 23 August 2024 | |
Landslide zonation analysis with statistical weight of evidence approach, Paninggaran and surrounding area
1 Department of Geological Engineering, Universitas Jenderal Soedirman, Purbalingga, 53371, Indonesia
2 Akademi Mahallesi Yeni İstanbul Cad No:235/1, Selçuklu/Konya, Turkiye
* Corresponding author: januar.aziz.zaenurrohman@unsoed.ac.id
The study is being conducted in Paninggaran and the surrounding area in the Pekalongan, Central Java, district of Paninggaran. Nine villages are included in the research locations: Paninggaran, Domiyang, Lomeneng, Sawangan, Krandegan, Tenogo, Tanggeran, Bedagung, and Lambanggelun villages. Paninggaran and the surrounding area also have a landslide-like negative power. The lithology, slope rate, land usage, separation from the stream, height, slope direction, soil type, curvature, and stream density all impact this landslide. The process is WOE (Weight of Evidence). This method determines the parameter that influences landslide occurrence based on the latest data. In the validation, This method will observe the AUC curve (Area Under Curve) to determine the accuracy of the data model. Based on the result, the location was classified into four zonations, Very Low-Vulnerable Zone, Low-Vulnerable Zone, Medium-Vulnerable Zone, and High-Vulnerable Zone.
© The Authors, published by EDP Sciences, 2024
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.