Regional Landslide Potential Mapping in Earthquake-Prone Areas of Kepahiang Regency, Bengkulu Province, Indonesia

Abstract

Kepahiang regency is an area above the Musi segment of the Sumatran fault system. This condition makes the study area prone to natural disasters such as landslides in the slope area caused by earthquakes due to tectonic plate movement. The objective of this study was to locate potential landslide areas in earthquake-prone areas of Kepahiang regency, Bengkulu province, Indonesia. We performed horizontal to vertical spectral ratio (HVSR) analysis and simple additive weighting (SAW) methods to accomplish the goal. The acquisition of field data involved a broad band seismometer PASI Gemini-2 (triaxial geophone). The microtremor data recorded in the field were then analyzed by the wave spectrum. The results showed that the landslide potential in the study area could be divided into three categories, i.e., low, medium, and high potential. Areas with high potential should be more aware of the threat of landslides, especially in population-dense areas. The greatest threat in the study area is an earthquake along Sumatra's active fault. An earthquake that occurs in a very steep, landslide-prone area can increase risk and trigger a landslide.

Investigation of Geothermal Using Magnetotelluric Method in Babakan Bogor, Bengkulu Province, Indonesia

“…The values of E x , E y , H x , H y , and H z recorded in the field were MT data in time series which can Figure 2. Geological map and magnetotelluric data of Kepahiang Regency, Bengkulu Province (Gafoer et al, 2000 andHadi et al, 2018).…”

Microtremor and Slope Data of Watukumpul, Pemalang Regency for Landslide Potential Analysis using Simple Additive Weight Method

“…Based on topography data from USGS we conducted soil slop map of study area that show in Fig 3. The soil slope value range between 0 0 -58 0 which show that The topography of the area is highly steep. The elevation range between 90-11256 m. An area has high landslide potential if the soil slope more than 40 0 [8].…”

“…Some landslide parameter could be combined to map the landslide potential area i.e. particle motion and local site effect which conducted from microtremor measurement [4][5]PGA and local site effect that were reflected as ground shear strain value [6]; local site effect, slope of elevation and local site effect [7]; ground shear strain value, rainfall intensity, PGA, Vs30, slope and distance from the fault [8].…”

Landslide Susceptibility Assessment at the Basin Scale for Rainfall- and Earthquake-Triggered Shallow Slides

“…It was verified that models produced with LI 1 are very effective in predicting the spatial location of LI 2, but the same does not happen in the inverse situation. Finally, landslide susceptibility models developed with LI 1 and LI 2 for the upper sector of the hydrographic basin (where most landslides occurred), and latter applied to the complete watershed, present more modest predictive results but are more reliable to characterize the landslide susceptibility in the study area.Geosciences 2019, 9, 268 2 of 22 namely in active seismic zones [15][16][17][18]. The effect of propagation of seismic waves can be explained by the subjection of geological materials to alternating cycles of loading and decompression, which produce changes in the interstitial pressure, shear strength, and material cohesion [19][20][21].…”

“…Geosciences 2019, 9, 268 2 of 22 namely in active seismic zones [15][16][17][18]. The effect of propagation of seismic waves can be explained by the subjection of geological materials to alternating cycles of loading and decompression, which produce changes in the interstitial pressure, shear strength, and material cohesion [19][20][21].…”