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Mapping of Landslide Susceptibility Using State-of-the-Art Method and Geospatial Techniques in the Rangamati District in the Chattogram Hill Tracts Region of Bangladesh

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Landslide: Susceptibility, Risk Assessment and Sustainability

Part of the book series: Advances in Natural and Technological Hazards Research ((NTHR,volume 52))

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Abstract

The chapter aims to map the susceptibility of landslides in the Rangamati district of the Chattogram Hill Tracts region in Bangladesh using state-of-the-art methods and geospatial techniques. The district has experienced a significant number of landslides that caused numerous fatalities. However, the lack of available data and proper synchronization of existing information impedes our understanding of the extent of the issue. An integrated approach combining community-based mapping, Participatory Rural Appraisal (PRA) techniques, and spatial analysis was employed to address this challenge. Generation of landslide inventory revealed 306 landslide locations spread across the entire district, with 54.58% located in Rangamati Sadar upazila. Additionally, spatial statistical analysis was conducted to find the association of landslides with 12 causative factors. Analysis revealed that areas with Boka Bill geological formation had 37.91% landslide locations, making this region highly susceptible. Similarly, areas with elevations within 50–200 m and slopes of 10°–20° have recorded the highest number of landslides in the study area, with 40.85% and 50.33% of landslide locations, respectively. The study's findings also indicated that areas close to roads (0–250) m and settlements (0–25) m had the highest number of landslide locations, 61.76%, and 34.64%, respectively. Overall, findings indicated that around 43.58 km2 area of Rangamati district are susceptible to landslides. This chapter offers a comprehensive understanding of landslide susceptibility using an integrated geospatial approach. The findings will lay the foundation for developing a landslide vulnerability model to enhance landslide risk assessment and facilitate effective mitigation measures in the future.

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Authors and Affiliations

  1. Department of Geography and Environment, University of Dhaka, Dhaka, Bangladesh

    K. M. Nafee, Md. Shakib Al Fahad, Md. Sakhawat Hossen & Md. Sofi Ullah

  2. Department of Geography and Environment, Dhaka College, Dhaka, Bangladesh

    Md. Khayrul Islam Tuhin

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  1. K. M. Nafee
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  2. Md. Shakib Al Fahad
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  3. Md. Khayrul Islam Tuhin
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  4. Md. Sakhawat Hossen
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  5. Md. Sofi Ullah
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Correspondence to K. M. Nafee .

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Editors and Affiliations

  1. Department of Geography, KISS Deemed University, School of Tribal Resource Development, Bhubaneswar, India

    Gopal Krishna Panda

  2. Graduate School of Media and Governance, Keio University Shonan Fujisawa, Japan, Japan

    Rajib Shaw

  3. Department of Geography, The University of Burdwan, Bardhaman, India

    Subodh Chandra Pal

  4. Department of Geography, Bhatter College, Dantan (Vidyasagar Univ, Kharagpur, Paschim Medinipore,, India

    Uday Chatterjee

  5. Department of Geography, The University of Burdwan, Bardhaman, India

    Asish Saha

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Nafee, K.M., Al Fahad, M.S., Tuhin, M.K.I., Hossen, M.S., Ullah, M.S. (2024). Mapping of Landslide Susceptibility Using State-of-the-Art Method and Geospatial Techniques in the Rangamati District in the Chattogram Hill Tracts Region of Bangladesh. In: Panda, G.K., Shaw, R., Pal, S.C., Chatterjee, U., Saha, A. (eds) Landslide: Susceptibility, Risk Assessment and Sustainability. Advances in Natural and Technological Hazards Research, vol 52. Springer, Cham. https://doi.org/10.1007/978-3-031-56591-5_5

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