Abstract
A landslide occurs when a piece of rock, a piece of earth, or a pile of debris slides down a slope. There are a few key geological and hydrological factors that influence the occurrence of landslides. However, these factors do not provide an equal contribution to landslide susceptibility. In this study, Analytical Hierarchy Process (AHP) was used to identify landslide susceptible areas in Kegalle district, Sri Lanka, where several past landslides occurred. This research analyzed the contributing parameters of landslides such as slope, aspect, soil class, lithology, rainfall, land use, distance to roads, and distance to streams. The AHP gave an acceptable (i.e., ≤1) Consistency Ratio (CR) of 0.032. The final landslide susceptibility model showed a 71% level accuracy with the area under the curve value of 0.705. About 4% of the entire Kegalle district was identified as very highly susceptible, while approximately 14% of the study area is showing high susceptibility. Moderate and Low susceptibility zones cover about 39% and 26% of the study area, respectively. Nearly 16% of the study area belongs to the very low susceptible zone. Soon after the study was finalized, a landslide occurred in the Dombemeda area, which was identified as a very high susceptible area by the model; though unfortunate, it verified the model. This showed the importance of liaising with relevant authorities - since the developed model can be used as an aid for landslide preparedness and mitigation.
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This research was funded by a research grant by Faculty of Graduate Studies and Research, Sri Lanka Institute of Information Technology (FGSR/RG/FE/2021/12).
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Guhananth, K., Gomes, P.I.A., Abeysiriwardana, H.D. (2023). GIS-Based Landslide Susceptibility Map**: A Case Study from Kegalle District, Sri Lanka. In: Das, J., Bhattacharya, S.K. (eds) Monitoring and Managing Multi-hazards. GIScience and Geo-environmental Modelling. Springer, Cham. https://doi.org/10.1007/978-3-031-15377-8_13
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