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Evaluation of spatial probability of landslides using bivariate and multivariate approaches in the Goriganga valley, Kumaun Himalaya, India

Author

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  • Sandeep Kumar

    (Wadia Institute of Himalayan Geology)

  • Vikram Gupta

    (Wadia Institute of Himalayan Geology)

Abstract

In the present study, landslide susceptibility mapping in the Goriganga valley, Kumaun Himalaya has been carried out using bivariate and multivariate approaches. Bivariate analysis includes Yule’s Coefficient, Frequency Ratio, Information Value, and Weight of Evidence, whereas multivariate analysis used is Artificial Neural Network. The input data used for this purpose include an inventory of 421 active landslides and twelve possible causative factors of landslides like lithology, slope angle, slope aspect, elevation, curvature-plan, curvature-profile, distance to drainage, road & thrusts, land use and land cover. Rainfall pattern and the peak ground acceleration (PGA) of area were also considered for the analysis. Using both the bivariate and multivariate methods, it has been observed that ~20–25% of the study area lies in the high and very high landslide susceptible zones, whereas ~50–63% of the study area lies in the low and very low susceptible zone. The high and very high landlslide susceptible zones are mainly confined in the Lesser Himalaya and along the Goriganga River, whereas low and very low susceptible zones are mainly located in the Higher Himalaya, Tethys Himalaya, and the higher elevation of the Lesser Himalaya. Further all the four bivariate methods indicate success rate between 84 and 86%, and the prediction rate between 80 and 86%, and increase with the application of the ANN.

Suggested Citation

  • Sandeep Kumar & Vikram Gupta, 2021. "Evaluation of spatial probability of landslides using bivariate and multivariate approaches in the Goriganga valley, Kumaun Himalaya, 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. 109(3), pages 2461-2488, December.
  • Handle: RePEc:spr:nathaz:v:109:y:2021:i:3:d:10.1007_s11069-021-04928-x
    DOI: 10.1007/s11069-021-04928-x
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    References listed on IDEAS

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    1. A. Sengupta & S. Gupta & K. Anbarasu, 2010. "Rainfall thresholds for the initiation of landslide at Lanta Khola in north Sikkim, 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. 52(1), pages 31-42, January.
    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.
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    Cited by:

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