Refrizon Refrizon
Department of Physics, Faculty of Mathematics and Natural Sciences, University of Bengkulu

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Landslide Potential Investigation for Disaster Risk Reduction in Central Bengkulu Regency, Bengkulu Province, Indonesia Arif Ismul Hadi; Refrizon Refrizon; Muchammad Farid; Budi Harlianto; Julia Inti Sari
Indonesian Journal on Geoscience Vol 8, No 3 (2021)
Publisher : Geological Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17014/ijog.8.3.313-328

Abstract

DOI:10.17014/ijog.8.3.313-328Bengkulu 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.
Landslide Potential Investigation for Disaster Risk Reduction in Central Bengkulu Regency, Bengkulu Province, Indonesia Arif Ismul Hadi; Refrizon Refrizon; Muchammad Farid; Budi Harlianto; Julia Inti Sari
Indonesian Journal on Geoscience Vol. 8 No. 3 (2021)
Publisher : Geological Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17014/ijog.8.3.313-328

Abstract

DOI:10.17014/ijog.8.3.313-328Bengkulu 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.
DEVELOPMENT OF A SIMPLE LABORATORY-SCALE LANDSLIDE SIMULATION SYSTEM USING A SHAKING TABLE AND ARTIFICIAL RAINFALL Elfi Yuliza; Muhammad Khafid Fauzi; Riska Ekawita; Refrizon Refrizon
Indonesian Physical Review Vol. 9 No. 3 (2026)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v9i3.636

Abstract

A landslide mitigation system is essential to reduce the potential risks of disasters. Historical records of both localized and widespread landslide events indicate that the development of sensor-based early warning systems is an effective approach. The design of such systems requires an understanding of landslide characteristics and sensor response to physical changes in soil. Therefore, this study developed a laboratory-scale landslide simulation model to investigate landslide behaviors. The model incorporates two primary triggering factors, namely vibration and A landslide mitigation system is essential to reduce the potential risks of disasters. Historical records of both localized and widespread landslide events indicate that the development of sensor-based early warning systems is an effective mitigation approach. The design of such systems requires an understanding of landslide characteristics and sensor responses to physical changes in soil. Therefore, this study developed a simple laboratory-scale landslide simulation system integrating a shaking table, an artificial rainfall, and a sensor system. The novelty of this work lies in integrating two different triggering factors, vibration through a shaking table and rainfall, using artificial rainfall. Two different materials, laterite and soil, were used to obtain ground movement characteristics. The results indicate that each material responded differently to the applied triggering factors. Laterite soil with clayey characteristics became soft and exhibited plasticity behavior under wet conditions and hardened under dry conditions. Consequently, vibration-induced movement in zones with weak soil bonding, while the addition of water primarily caused fluid flow associated with rainfall. In contrast, for sand samples, both vibration and artificial rainfall reduced pore size and enhanced soil bonding. However, an optimal pore size was observed, as excessive saturation led to fractures and collapse. Excess water also promotes fluid flow and liquefaction. Furthermore, the sensor system effectively detected and responded to the observed changes during the experimental procedure.