Issue |
MATEC Web Conf.
Volume 229, 2018
International Conference on Disaster Management (ICDM 2018)
|
|
---|---|---|
Article Number | 04003 | |
Number of page(s) | 6 | |
Section | Improving Lesson Learnt in Disaster Management | |
DOI | https://doi.org/10.1051/matecconf/201822904003 | |
Published online | 14 November 2018 |
Mapping of landslide hazards prediction using geographic information system in Solok District
Program of Forestry, Muhammadiyah University of West Sumatera, Padang, Pasir Kandang St, No.4 Koto Tangah Sub District, Padang City
* Corresponding author: abdulrohim_hut@yahoo.co.id
Solok District is one of the areas prone to the landslide in West Sumatera Province. Generally, landslides are caused by natural and human factors. The aims of this study are to predict the location of the highest landslide hazard distribution in Solok District and to know the level of vulnerability of landslide hazards in Solok District. This study consists of preparatory steps, field survey, analysis and processing of the data based on 4 types of maps, i.e. rainfall, soil type, geological, and slope maps. These maps then scoring in 5 types of vulnerability levels. As the results of this study, it is known that the sub-districts are on the highest prediction of the landslide are Pantai Cermin, Lembah Gumanti, Hiliran Gumanti, Lake Kembar, Mount Talang, Payung Sekaki, Tigo Lurah, Bukit Sundi, Kubung, X Koto Singkarak and Junjung Sirih. The level of vulnerability prediction of landslide hazard in Solok District is divided into 5 levels, which is very low 44511,71 Ha with percentage of 11,91%, low of 69179,34 Ha with percentage 18,51%, while 89894.35 Ha with the percentage of 24.05%, height of 86307 Ha with the percentage of 23.09%, and very high 83907,60 Ha with the percentage of 22.45.
© The Authors, published by EDP Sciences, 2018
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.