Landslide Disaster Vulnerability Mapping Based on Geographic Information System in Nias Regency

DOI

10.2991/978-2-38476-448-8_14How to use a DOI?

Keywords

Geographic Information System (GIS); Nias Regency; Disaster Vulnerability; Landslides; ArcGIS

Abstract

This study aims to analyze the level of landslide disaster risk in Nias Regency based on rainfall parameters, soil type, land use, and slope slope. Rainfall in Nias Regency tends to be high, with the dom. inant areas receiving rainfall between 3001-3500 mm/year (61.18%), and 35.96% of areas with rainfall intensity above 3500 mm/year. The soil type Akrisol predominates, covering 65.52% of the area, which is acidic and prone to erosion. The main land use is mixed dryland agriculture (75.32%), which is spread across almost the entire region. Most areas have a slope of 0-8% (45.96%), with steep areas (>45%) covering 1.62%. Based on spatial analysis, the Nias Regency area is classified into three classes of landslide vulnerability: low, medium, and high. Areas with moderate vulnerability dominate, covering 61.69% of the total area, while high-risk areas cover 38.16%. Vulnerability maps show that areas with high rainfall and steep slopes are at risk of landslides, especially in areas dominated by Akrisol soil types and agricultural land use on slopes. This study uses a parameter weighting method involving five main parameters: slope, rainfall, land use, soil type, and administrative map data. Each parameter is weighted according to the degree of influence it has on landslide risk, and the analysis is performed using ArcGIS 10.8 software. The overlay process is carried out in four stages to reduce errors, by combining rainfall maps, slope slopes, soil types, geology, and land use. The results of this study show the importance of disaster mitigation efforts through vegetation improvement and effective land management, in order to reduce the risk of landslides that have the potential to harm the community.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - R. Restu
AU  - Nurmala Berutu
AU  - Muhammad Ridha Syafii Damanik
AU  - Muhammad Farouq Ghazali Matondang
AU  - Riki Rahmad
AU  - Fatimah Azzahra
AU  - Derita Ramai Durubanua
PY  - 2025
DA  - 2025/07/28
TI  - Landslide Disaster Vulnerability Mapping Based on Geographic Information System in Nias Regency
BT  - Proceedings of the 6th International Conference on Social Sciences and Interdisciplinary (ICSSIS 2024)
PB  - Atlantis Press
SP  - 132
EP  - 146
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-448-8_14
DO  - 10.2991/978-2-38476-448-8_14
ID  - Restu2025
ER  -