| Issue |
E3S Web Conf.
Volume 153, 2020
International Conference on Sustainability Science and Management: Advanced Technology in Environmental Research (CORECT-IJJSS 2019)
|
|
|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 7 | |
| Section | Environmental Sciences | |
| DOI | https://doi.org/10.1051/e3sconf/202015302007 | |
| Published online | 17 February 2020 | |
Landslide susceptibility mapping using Spatial Multi-Criteria Evaluation (SMCE) method in Camba Sub-district, Maros Regency, South Sulawesi
1 Department of Geography, Faculty of Mathematics and Natural Science, Universitas Indonesia, Depok 1624
2 Department of Geography, Faculty of Mathematics and Natural Science, Universitas Indonesia, Depok 1624
* Corresponding author: eko.kusratmoko@sci.ui.ac.id
This research presents the results of a landslide susceptibility mapping using Geographic Information Systems (GIS) based statistical namely Spatial Multi-Criteria Evaluation (SMCE) in Camba Sub-district, Maros Regency, South Sulawesi. Ten physical factors encompassed soil type, slope, slope aspect, rock type, altitude, land cover, distance from the river, rainfall, distance from faults, and distance from the road that collected from several sources and used to determined landslide susceptible areas. SMCE was applied to classify the degree of landslide susceptibility from low to very high classes. Validation using 30 points of landslide events obtained from field survey. The result showed an area with high and very high classes has an area 2079 ha (18,3 %) and 52,5 ha (0,46 %) distributed in the southern region. The results of validation using the R-index for very high and high classes is 55% and ROC shows that of 96.4%, for the P show method of 98%. This landslide mapping can be used for disaster mitigation and disaster preparedness planning purposes.
© The Authors, published by EDP Sciences, 2020
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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