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An integrated approach for landslide susceptibility–vulnerability–risk assessment of building infrastructures in hilly regions of India

Author

Listed:
  • Aditi Singh

    (Sarala Birla University)

  • Shilpa Pal

    (Delhi Technological University)

  • D. P. Kanungo

    (CSIR—Central Building Research Institute (CBRI))

Abstract

Considering the ever-increasing landslide incidences in Indian Himalayas, a methodology has been presented to assess the risk to buildings constructed in the landslide-prone areas. Since landslide is a dynamic phenomenon, an inter-disciplinary approach is required for the assessment of elements at risk (buildings in this case). Therefore, a novel remote sensing and GIS-based semi-quantitative technique has been developed by integrating the concepts of landslide susceptibility zonation (LSZ), physical vulnerability (PV) and the proximity (Prox) of buildings from the influence zone (i.e. LSZ and drainage channels). In order to understand the acceptability of risk, the landslide risk (LR) has been categorized into three risk classes as class I (low risk), class II (moderate risk) and class III (high risk). This study aims to develop a systematic and easy to adopt methodology for hilly terrains of India in a scenario of historical data scarcity and also in line with the codal provisions of the country as well as the geographical conditions. The developed methodology is implemented in a test site of Gopeshwar Township, Chamoli District Headquarter, Uttarakhand State of India, covering an area of 8.39 km2 situated in the upper Alaknanda valley. This study will be useful in increasing the safety aspects of the infrastructures and lives and also for strategic governance of developmental activities in the times ahead, especially in developing countries.

Suggested Citation

  • Aditi Singh & Shilpa Pal & D. P. Kanungo, 2021. "An integrated approach for landslide susceptibility–vulnerability–risk assessment of building infrastructures in hilly regions of India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5058-5095, April.
  • Handle: RePEc:spr:endesu:v:23:y:2021:i:4:d:10.1007_s10668-020-00804-z
    DOI: 10.1007/s10668-020-00804-z
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    References listed on IDEAS

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    1. Guru Balamurugan & Veerappan Ramesh & Mangminlen Touthang, 2016. "Landslide susceptibility zonation mapping using frequency ratio and fuzzy gamma operator models in part of NH-39, Manipur, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 465-488, October.
    2. Aditi Singh & D. P. Kanungo & Shilpa Pal, 2019. "Physical vulnerability assessment of buildings exposed to landslides in India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(2), pages 753-790, March.
    3. Martin Bednarik & Işık Yilmaz & Marian Marschalko, 2012. "Landslide hazard and risk assessment: a case study from the Hlohovec–Sered’ landslide area in south-west Slovakia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 547-575, October.
    4. Chang-Jo Chung & Andrea Fabbri, 2003. "Validation of Spatial Prediction Models for Landslide Hazard Mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 30(3), pages 451-472, November.
    5. Edison Thennavan & Ganapathy Pattukandan Ganapathy & S. S. Chandra Sekaran & Ajay S. Rajawat, 2016. "Use of GIS in assessing building vulnerability for landslide hazard in The Nilgiris, Western Ghats, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(2), pages 1031-1050, June.
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    Cited by:

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    2. Huaqiang Yin & Wei Zhou & Zhangqiang Peng, 2023. "Numerical simulation of rainfall-induced debris flow in the Hongchun gully based on the coupling of the LHT model and the Pudasaini model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 2553-2572, July.

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