Search

We have conducted geoelectric resistivity and shear wave velocity (Vs30) study to identify the landslide potential hazard, around Geophysics Station Lembang, Bandung (107,617∘ E and 6,825∘ S). The the geoelectric analysis using Dipole-Dipole resitivity configuration, while shear wave velocity analysis performed using the Multichannel Analysis of Surface Wave (MASW). The study results indicate that the assumed soil or clay depth from the electrical resistivity observation was in accordance with the confirmed soil or clay depth by the MASW investigation. Based on these conditions, indicate the high potential of landsliding in this area, landslide potential supported by high slope angle in this area. [ABSTRACT FROM AUTHOR]

Research on landslide susceptibility has evolved rapidly over the few last decades thanks to the availability of large databases. Landslide research used to be focused on discreet events but the usage of large inventory dataset has become a central pillar of landslide susceptibility, hazard, and risk assessment. Indeed, extracting meaningful information from the large database is now at the forth of geoscientific research, following the big-data research trend. Indeed, the more comprehensive information of the past landslide available in a particular area is, the better the produced map will be, in order to support the effective decision making, planning, and engineering practice. The landslide inventory data which is freely accessible online gives an opportunity for many researchers and decision makers to prevent casualties and economic loss caused by future landslides. This data is advantageous especially for areas with poor landslide historical data. Since the construction criteria of landslide inventory map and its quality evaluation remain poorly defined, the assessment of open source landslide inventory map reliability is required. The present contribution aims to assess the reliability of open-source landslide inventory data based on the particular topographical setting of the observed area in Niigata prefecture, Japan. Geographic Information System (GIS) platform and statistical approach are applied to analyze the data. Frequency ratio method is utilized to model and assess the landslide map. The outcomes of the generated model showed unsatisfactory results with AUC value of 0.603 indicate the low prediction accuracy and unreliability of the model. [ABSTRACT FROM AUTHOR]

West Java is one of the provinces in Indonesia which is prone to landslide. Over the past few years, landslides in this area have resulted in a large number of victims. One of the areas in West Java with the highest risk of landslide occurrence is Rancabali Ciwidey. In general, the morphology around the landslide location is steep hills, with the slope > 30° and the altitude between 1550 - 1865 m above sea level. Several indications of ground movements can be seen in the form of slumps and cracks on the village roads and tea plantation, as well as slanting trees and electricity poles. The ground movement monitoring in this area is necessary for disaster mitigation. Several methods that can be used to monitor the landslide are using Terrestrial Laser Scanner (TLS) and robotic total station. This research aims is monitoring the landslide using these methods. The methodology used in this research is by obtaining the scanning data using TLS C-10 and Robotic total station MS05 measurements to obtain the coordinates of monitoring point clouds and prism. The TLS software that we used are Cyclone 8.1 and Maptek I-Site. For robotic total station, the software that we used is MSP software. These method hopefully can be used for early warning system of landslide in Rancabali area. [ABSTRACT FROM AUTHOR]

Landslide, which is one of the natural disasters that occurs frequently, often causes very adverse effects. Landslide early warning systems, which are installed at prone areas, measure physical parameters closely related to landslides and give warning signals indicating that landslides would occur. To determine the critical values of the measured physical parameters or test the early warning system itself, a laboratory scale model of a rotational landslide was developed. This rotational landslide model had a size of 250×45×40 cm3 and was equipped with soil moisture sensors, accelerometers, and automated measurement system. The soil moisture sensors were used to determine the water content in soil sample. The accelerometers were employed to detect movements in x-, y-, and z-direction. Therefore, the flow and rotational landslides were expected to be modeled and characterized. The developed landslide model could be used to evaluate the effects of slope, soil type, and water seepage on the incidence of landslides. The present experiment showed that the model can show the occurrence of landslides. The presence of water seepage made the slope crack. As the time went by, the crack became bigger. After evaluating the obtained characteristics, the occurred landslide was the flow type. This landslide occurred when the soil sample was in a saturated condition with water. The soil movements in x-, y-, and z-direction were also observed. Further experiments should be performed to realize the rotational landslide. [ABSTRACT FROM AUTHOR]