Indian Journal of Science and Technology
DOI: 10.17485/ijst/2017/v10i31/105647
Year: 2017, Volume: 10, Issue: 31, Pages: 1-19
Original Article
Rajinder Parshad1,2*, P. K. Srivastva1 , Snehmani3 , S. Ganguly4 , S. Kumar3 and A. Ganju3
1Department of Petroleum Engineering and Earth Sciences, University of Petroleum and Energy Studies, Bidholi Campus, Dehradun – 248007, Uttarakhand, India; [email protected], [email protected] 2Geological Survey of India, National Centre of Excellence in Geosciences Research, NH-5P, NIT, Faridabad-121001, India 3Snow and Avalanche Study Establishment, Research and Development Centre, Sector 37A, Chandigarh - 160036, India; [email protected], [email protected], [email protected] 4National Disaster Management Authority, New Delhi – 110029, India; [email protected]
*Author for the correspondence:
Rajinder Parshad
Department of Petroleum Engineering and Earth Sciences, University of Petroleum and Energy Studies, Bidholi Campus, Dehradun – 248007, Uttarakhand, India; Geological Survey of India, National Centre of Excellence in Geosciences Research, NH-5P, NIT, Faridabad-121001, India. [email protected]
Objectives: To produce an avalanche susceptibility map using static terrain factor accountable for avalanche occurrence in Nubra-Shyok basin, Himalaya, India. Methods/Statistical Analysis: Expert judgements based Analytical hierarchy process model was applied in the present study. The weight values for each avalanche contributory factor (aspect, elevation, slope, curvature and ground cover), was assigned by comparing possible pairs in a matrix. Receiver operator characteristics- Area under the Curve technique was used to validate the results. Findings: The calculated weight values of the slope factor is 0.47, which is found most significant, while the weight value of elevation factor is 0.25, were also found to be significant factor. The weight value of Ground cover was 0.05 and creates a least importance. The curvature and aspect weight values were 0.12 and 0.11 respectively, and produce intermediate degree of importance. The avalanche susceptibility map of the Nubra-Shyok basin was divided into five zones: - (I) Very High (II) Moderate-to-High (III) Moderate (IV) Low (V) Very Low, and covers 27.5% , 28.0% 19.0%, 20.0%, and 4.8%, of the total area respectively. ROC-AUC method was applied to verify the study results. The value of Area under the curve (0.9112) shows that results of the present study are acceptable and 91.12% avalanche pixels are properly categorized. Application/Improvements: This study will help in safe movement across the Nubra-Shyok basin, India.
Keywords: Nubra, Remote Sensing, Snow Avalanche, Shyok, GIS
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