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Predicting terrain erosion susceptibility from drainage basin morphometry using ALOS-PALSAR DEM: analysis from PCA-weighted AHP approach in a river system of Eastern India

Author

Listed:
  • Subha Roy

    (The University of Burdwan)

  • Souvik Das

    (The University of Burdwan)

  • Somasis Sengupta

    (The University of Burdwan)

Abstract

In this paper, an attempt has been made to ascertain the erosion susceptibility of the Mayurakshi Drainage System in Eastern India using the 12.5 m resolution ALOS-PALSAR DEM dataset by the morphometric attributes viz. relief, surface, drainage texture and topography. The Analytical Hierarchy Process (AHP) was carried out for ascertaining the erosion susceptibility of the area under consideration. The methodology followed essentially differs from the traditional AHP technique because while assigning weights to multiple parameters, the study has depended on the Principal Component Analysis (PCA) instead of the opinion of the experts which are often contradictory. The relative importance of each parameter was calculated from the loading ratios of different parameters under PCA. Furthermore, instead of taking only one PC, we have taken six PCs with a cumulative explained variance of 99.13%. Finally, these AHP-based erosion susceptibility maps were weighted with respect to their explained variances (obtained from PCA for individual component) and the final map displaying the spatial variation of erosion susceptibility in the Mayurakshi Drainage System was obtained. Analysis reveals that, by and large, the area is characterized by lower susceptibility scores with the solitary exception of the middle domain of the Mayurakshi Basin and the upper reach of the Dwarka River. Here, the erosion susceptibility is greatly elevated due to the fact that the rivers have to encounter and incise across a number of low-lying hills which may be considered to be offshoots of the Chhotanagpur Plateau. In other areas, the susceptibility of erosion is reasonably modest.

Suggested Citation

  • Subha Roy & Souvik Das & Somasis Sengupta, 2023. "Predicting terrain erosion susceptibility from drainage basin morphometry using ALOS-PALSAR DEM: analysis from PCA-weighted AHP approach in a river system of Eastern India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9589-9617, September.
  • Handle: RePEc:spr:endesu:v:25:y:2023:i:9:d:10.1007_s10668-022-02450-z
    DOI: 10.1007/s10668-022-02450-z
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    References listed on IDEAS

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    1. Omvir Singh & A. Sarangi & Milap Sharma, 2008. "Hypsometric Integral Estimation Methods and its Relevance on Erosion Status of North-Western Lesser Himalayan Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(11), pages 1545-1560, November.
    2. Akshay Omprakash Jain & Tejaskumar Prakashchandra Thaker & Anil Kumar Misra & Anupam Kumar Singh & Priyanka Kumari, 2021. "Determination of sensitivity of drainage morphometry towards hydrological response interactions for various datasets," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1799-1822, February.
    3. Carl Mela & Praveen Kopalle, 2002. "The impact of collinearity on regression analysis: the asymmetric effect of negative and positive correlations," Applied Economics, Taylor & Francis Journals, vol. 34(6), pages 667-677.
    4. Macharis, Cathy & Springael, Johan & De Brucker, Klaas & Verbeke, Alain, 2004. "PROMETHEE and AHP: The design of operational synergies in multicriteria analysis.: Strengthening PROMETHEE with ideas of AHP," European Journal of Operational Research, Elsevier, vol. 153(2), pages 307-317, March.
    5. P. Singh & Virendra Kumar & R. Purohit & Mahesh Kothari & P. Dashora, 2009. "Application of Principal Component Analysis in Grouping Geomorphic Parameters for Hydrologic Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(2), pages 325-339, January.
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