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Improving Landslide Susceptibility Using Groundwater Parameter in Samigaluh and Kalibawang Subdistricts Susatio, Raja; Sartohadi, Junun; Samodra, Guruh; Setiawan, Muhammad Anggri; Wilopo, Wahyu
Journal of Applied Geology Vol 10, No 1 (2025)
Publisher : Geological Engineering Department Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jag.106054

Abstract

Landslide susceptibility map is crucial in disaster risk management and it can be used for regional development plans. Landslide susceptibility map can be made by analyzing parameters that are assumed to affect landslides such as gradient slopes, geology, soil, and climate. Selection of landslide controlling parameters influences the accuracy of landslide susceptibility map. This study evaluates the effect of parameter that’s rarely used which is groundwater. The study area of this research was Kalibawang and Samigaluh Subdistricts, Kulonprogo, Special Region of Yogyakarta, Indonesia. Frequency ratio was used for the method along other parameters which is slope gradient, lithology, lineament density, land use, soil thickness. The result shows that groundwater parameter increase the accuracy by 22,29%. This study suggest that groundwater should be highly considered in landslide susceptibility mapping. In the other hand, groundwater depth mapping remains a challenge because most remote sensing method only detect shallow groundwater. Further research is necessary to develop better method for groundwater mapping using remote sensing or other indirect method.
Physical Vulnerability Modeling Based On Flood Inundation Model and Image Mining Rau, Maulana Ibrahim; Samodra, Guruh; Pachri, Hendra; Irwansyah, Edy; Subair, Muhammad
Jurnal Teknik Sipil dan Lingkungan Vol. 1 No. 3: Desember 2016
Publisher : Departemen Teknik Sipil dan Lingkungan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.1.3.137-146

Abstract

Flash flood disaster occurred within the City of Garut, West Java, Indonesia, on 20th September 2016, which caused many casualties and damages. Flood model could be performed to model the already-occurring disaster, as well as to depict future events that may occur to overcome any potential disasters, where the inundation flood model depicted the element at risk. In order to assist the analysis for the damages occurred, image mining could be used as part of the approach, where online media was utilized as well. The image mining resulted information about building damages caused by the flood. Afterwards, the physical vulnerability (buildings/residents) model could be further performed. Finally, the relationship between vulnerability and the flood inundation were portrayed. The resulted physical vulnerability model showed that larger height of the flood water caused higher degree of loss of the building, in which portrayed the need for total rebuild of houses as well. Considering available open source data and fast data acquisition, the approach showed such efficient approaches, where the results could be used in order to establish recommendation for building reinforcement, spatial planning, or protection wall in flood prone areas within the future time.