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Review of landslide inventories for Nepal between 2010 and 2021 reveals data gaps in global landslide hotspot

Author

Listed:
  • Erin L. Harvey

    (Durham University
    Durham University)

  • Mark E. Kincey

    (Newcastle University)

  • Nick J. Rosser

    (Durham University
    Durham University)

  • Arishma Gadtaula

    (National Society for Earthquake Technology)

  • Ethan Collins

    (Durham University)

  • Alexander L. Densmore

    (Durham University
    Durham University)

  • Alexandre Dunant

    (Durham University
    Durham University)

  • Katie J. Oven

    (Northumbria University)

  • Katherine Arrell

    (Northumbria University)

  • Gopi K. Basyal

    (National Society for Earthquake Technology)

  • Megh Raj Dhital

    (Tribhuvan University)

  • Tom R. Robinson

    (University of Canterbury)

  • Maximillian Van Wyk de Vries

    (University of Cambridge
    University of Cambridge)

  • Sarmila Paudyal

    (National Society for Earthquake Technology)

  • Dammar S. Pujara

    (National Society for Earthquake Technology)

  • Ram Shrestha

    (National Society for Earthquake Technology)

Abstract

A review of landslide inventories provides an essential assessment of the state of knowledge around landslide hazard and can guide the focus of future studies. This is especially true in Nepal, which is highly prone to landslides, but lacks a comprehensive overview of landslide occurrence nationally. Here, we compile a database of 117 landslide inventories for Nepal released between 2010 and 2021. We review how these existing inventories shape our understanding of landsliding in Nepal and discuss how future research efforts could mitigate current challenges. We find that 40% of the country was only manually mapped once across the study period, and, crucially, these areas did not always correspond with areas of low landslide susceptibility. Instead, existing landslide inventories typically focus on specific areas, such as the region affected by the 2015 Gorkha Earthquake and major highway corridors. We also extrapolated the individual inventory characteristics from within this unique database to infer a national-scale areal density of 0.05 landslides per km2, equating to 6000 landslides across the country. This extrapolated value provides a baseline for future national-scale studies, especially for inventories created through automated mapping approaches. Our review highlights the importance of expanding the footprint of landslide inventories in Nepal to include regions with low mapping coverage and the need for inventories to be openly available, with clear protocols to enable inter-comparison. Whilst our review has focused on Nepal, these findings are likely to be relevant in other landslide-prone countries and our recommendations are intended to be applicable elsewhere.

Suggested Citation

  • Erin L. Harvey & Mark E. Kincey & Nick J. Rosser & Arishma Gadtaula & Ethan Collins & Alexander L. Densmore & Alexandre Dunant & Katie J. Oven & Katherine Arrell & Gopi K. Basyal & Megh Raj Dhital & T, 2025. "Review of landslide inventories for Nepal between 2010 and 2021 reveals data gaps in global landslide hotspot," 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. 121(5), pages 5075-5101, March.
  • Handle: RePEc:spr:nathaz:v:121:y:2025:i:5:d:10.1007_s11069-024-07013-1
    DOI: 10.1007/s11069-024-07013-1
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    References listed on IDEAS

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    1. Joshua N. Jones & Sarah J. Boulton & Martin Stokes & Georgina L. Bennett & Michael R. Z. Whitworth, 2021. "30-year record of Himalaya mass-wasting reveals landscape perturbations by extreme events," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    2. Krishna Devkota & Amar Regmi & Hamid Pourghasemi & Kohki Yoshida & Biswajeet Pradhan & In Ryu & Megh Dhital & Omar Althuwaynee, 2013. "Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya," 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. 65(1), pages 135-165, January.
    3. Faraz S. Tehrani & Michele Calvello & Zhongqiang Liu & Limin Zhang & Suzanne Lacasse, 2022. "Machine learning and landslide studies: recent advances and applications," 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. 114(2), pages 1197-1245, November.
    4. David Petley & Gareth Hearn & Andrew Hart & Nicholas Rosser & Stuart Dunning & Katie Oven & Wishart Mitchell, 2007. "Trends in landslide occurrence in Nepal," 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. 43(1), pages 23-44, October.
    5. Motilal Ghimire, 2011. "Landslide occurrence and its relation with terrain factors in the Siwalik Hills, Nepal: case study of susceptibility assessment in three basins," 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. 56(1), pages 299-320, January.
    6. Birch, Colin P.D. & Oom, Sander P. & Beecham, Jonathan A., 2007. "Rectangular and hexagonal grids used for observation, experiment and simulation in ecology," Ecological Modelling, Elsevier, vol. 206(3), pages 347-359.
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