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Landslide Susceptibility Mapping Using Weighted-Overlay Approach in Rangamati, Bangladesh

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Abstract

Rainfall-induced landslide hazards have become a common phenomenon in the Rangamati Sadar area of the south-eastern folded part of Bangladesh. The area has experienced several landslides in 2017, which caused loss of life and enormous loss of the asset. The present study aims to map landslide vulnerability in the Rangamati Sadar area and the surroundings. The weighted overlay approach such as the knowledge-based empirical technique is commonly used for landslide vulnerability mapping. The susceptibility map has been derived using various parameters—geology, land use, DEM, slope, aspect, soil texture, and structure/lineament data taken from an open-source geospatial platform. Mapping procedural justification and authentication are confirmed based on past landslide locations and field visits. The landslide susceptibility map is categorized into very low (236.4 km2), low (196.8 km2), moderate (1076.2 km2), high (1613.8 km2), and very high (2615.7 km2) susceptible areas. The end map of the research area is validated using an image overlay on google earth-2021 and the area under the curve value of 52 landslides events. The weighted overlay approach has displayed an important presentation that the area under curve (AUC) value is 0.875. Statistical analysis has identified the most recent devastating landslides due to climate change along with other anthropogenic causes such as hill cutting, soil texture, and deforestation. The research outcome would help the stakeholders and policymakers reduce and mitigate the risks related to landslide hazards in the associated areas.

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Acknowledgements

Mahmuda Khatun is deeply grateful to his supervisors (A.T.M Shakhawat Hossain and Hossain Md. Sayem, Department of Geological Sciences, Engineering Geology, Geotechnics & Geohazards Research Group; Jahangirnagar University, Savar, Dhaka-1342, Bangladesh) for their great support, kind guidance, and encouragement. The authors express their sincere thanks to USGS for data availability. The first author gratefully acknowledges the Ph.D. scholarship from Prime Minister Education Assistance Trust Fellowship Programme.

Funding

The Prime Minister’s Education Assistance Trust Scholarship- 2020 (Grant No-24.000.000.33.001.20.18), Bangladesh.

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Authors and Affiliations

  1. Department of Geological Sciences, Engineering Geology, Geotechnics & Geohazards Research Group, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh

    Mahmuda Khatun, A. T. M. Shakhawat Hossain & Hossain Md. Sayem

  2. Spatial BusinessIntegration GmbH (SBI), Marienburgstraße 27, 64297, Darmstadt, Germany

    Md Moniruzzaman

  3. Department of Geosciences, Mississippi State University, Starkville, MS, 39762, USA

    Zia Ahmed

  4. Department of Geography and Environmental Studies, Saint Mary’s University, 923 Robie Street, Halifax, NS, B3H 3C3, Canada

    Khan Rubayet Rahaman

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  1. Mahmuda Khatun
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Contributions

The author Mahmuda Khatun (MK) proposed the topic, conceptualized the study, contributed to the research design, data processing, analysis, interpretation, and wrote the manuscript. Author Md Moniruzzaman (MM) ran the geospatial model and contributed to the research design, data processing, analysis, and interpretation, and wrote the manuscript. Authors A. T. M Shakhawat Hossain (ATMSH) and Hossain Md. Sayem (HMS) contributed to supervising the work, writing, and editing the manuscript. Authors Khan Rubayet Rahaman (KRR) and Zia Ahmed (ZA), contributed to enhancing the manuscript editing. The authors MK and MM finalized the manuscript. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Mahmuda Khatun.

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Khatun, M., Hossain, A.T.M.S., Sayem, H.M. et al. Landslide Susceptibility Mapping Using Weighted-Overlay Approach in Rangamati, Bangladesh. Earth Syst Environ 7, 223–235 (2023). https://doi.org/10.1007/s41748-022-00312-2

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