Landslide Potential Investigation for Disaster Risk Reduction in Central Bengkulu Regency, Bengkulu Province, Indonesia

Authors

  • Arif Ismul Hadi Department of Physics, Faculty of Mathematics and Natural Sciences, University of Bengkulu Author
  • Refrizon Refrizon Department of Physics, Faculty of Mathematics and Natural Sciences, University of Bengkulu Author
  • Muchammad Farid Department of Physics, Faculty of Mathematics and Natural Sciences, University of Bengkulu Author
  • Budi Harlianto Department of Physics, Faculty of Mathematics and Natural Sciences, University of Bengkulu Author
  • Julia Inti Sari Department of Physics, Faculty of Mathematics and Natural Sciences, University of Bengkulu Author

DOI:

https://doi.org/10.17014/ijog.8.3.313-328

Keywords:

rock physical parameters of GSS, Vs30, rainfall, PGA, statistical method of AHP.

Abstract

DOI:10.17014/ijog.8.3.313-328

Bengkulu Province is the converging path region between the Indo-Australian - Eurasian tectonic plates in the ocean and the Sumatran f ault crossing on the mainland. The condition implies that the sliding force of the slab is easy to trigger fractures and to cause the material to be relatively less elastic, resulting in high seismic intensity. This study aims to identify areas with the potential for landslides and its mapping, and to analyze the factors that cause landslides in Central Bengkulu Regency, Bengkulu Province, Indonesia. This study was conducted using rock physical parameters of ground shear strain (GSS) which were correlated with parameters of slope, slope height, Vs30 value, fault distance to measurement point, rock conditions, rainfall, and PGA value. Furthermore, these parameters were overlaid thoroughly by the statistical method of the Analytical Hierarchy Process (AHP). Data acquisition is divided into two stages, namely the secondary data collection stage and the field survey stage. Secondary data collection was carried out to support the creation of landslide potential maps, analysis, and field survey data input. Secondary data is the value of Vs 30, the distance of the fault to the measurement point, rainfall, and the PGA value. Field survey data are in the form of GSS values, slope, slope height, and rock conditions. The results of this study are identified areas that have the category of high, medium, and low landslide potential. Based on the calculated parameters, the GSS parameter is the most dominant which affects the landslide potential in the studied area.

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Author Biographies

  • Arif Ismul Hadi, Department of Physics, Faculty of Mathematics and Natural Sciences, University of Bengkulu
    Physics Department, Faculty of Mathematics and Natural Sciences
  • Refrizon Refrizon, Department of Physics, Faculty of Mathematics and Natural Sciences, University of Bengkulu
    Physics Department, Faculty of Mathematics and Natural Sciences
  • Muchammad Farid, Department of Physics, Faculty of Mathematics and Natural Sciences, University of Bengkulu
    Physics Department, Faculty of Mathematics and Natural Sciences
  • Budi Harlianto, Department of Physics, Faculty of Mathematics and Natural Sciences, University of Bengkulu
    Physics Department, Faculty of Mathematics and Natural Sciences
  • Julia Inti Sari, Department of Physics, Faculty of Mathematics and Natural Sciences, University of Bengkulu
    Physics Department, Faculty of Mathematics and Natural Sciences

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Published

2021-08-11

Issue

Section

Articles