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Identification of erosion-prone areas using morphometric parameters, land use land cover and multi-criteria decision-making method: geo-informatics approach

Author

Listed:
  • Paolenmang Haokip

    (Sikkim University)

  • Md. Abdullah Khan

    (Sikkim University)

  • Pandurang Choudhari

    (University of Mumbai)

  • Luc Cimusa Kulimushi

    (University of Lay Adventists of Kigali)

  • Ibodullo Qaraev

    (University of Chinese Academy of Sciences (CAS))

Abstract

Soil erosion is the main driving force of several devastating natural hazards in the complex mountainous terrain of the Himalayas where the Teesta River basin is located. The present study focused on GIS-based multi-criteria analytical approach (MCA) that integrates morphometric parameters with land cover categories for identification of erosion hotspot areas through sub-watersheds prioritization. The general character of the eight sub-watersheds was derived from the linear, areal and relief aspects, while seven land cover types derived from maximum likelihood classification were evaluated in the MCA. Before combination of the studied parameters in MCA, each parameter was individually ranked and compound value (Cp) was calculated which produced four classes: low, medium, high and very high priority. Later, these ranks were integrated into MCA to give eight major classes classified from 1 to 8. Lowest Cp ranked 1 gets very high priority, while the highest Cp is ranked 8, i.e., lowest priority. The results revealed a predominance of dense forest account for 31.73% of the total area, the basin is a sixth-order river dominated by high relief and marginal slope, elongated in shape, and mean bifurcation ratio (Rb) was 3.879 which indicates an undistorted natural drainage system. Final MCA priority ranking indicated that: SW-4 and 5 having lowest Cp values (3.39 and 4) ranked 1 and 2 suggest very high erosion susceptibility, SW-8 and 3 (4.22 and 4.39) rated 3 and 4, i.e., high priority; SW-6 and 7 ranked 5 and 6, i.e., medium priority; and SW-1 and SW-2 ranked 7 and 8 because of their highest Cp (5.39 and 5.67), i.e., least priority. The prioritization result identified critical areas that are indispensable for sustainable use and management of water and land resources.

Suggested Citation

  • Paolenmang Haokip & Md. Abdullah Khan & Pandurang Choudhari & Luc Cimusa Kulimushi & Ibodullo Qaraev, 2022. "Identification of erosion-prone areas using morphometric parameters, land use land cover and multi-criteria decision-making method: geo-informatics approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 527-557, January.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:1:d:10.1007_s10668-021-01452-7
    DOI: 10.1007/s10668-021-01452-7
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    References listed on IDEAS

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    1. Sarita Gajbhiye Meshram & Ehsan Alvandi & Chandrashekhar Meshram & Ercan Kahya & Ayad M. Fadhil Al-Quraishi, 2020. "Application of SAW and TOPSIS in Prioritizing Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 715-732, January.
    2. Liangang Chen & Xin Qian & Yong Shi, 2011. "Critical Area Identification of Potential Soil Loss in a Typical Watershed of the Three Gorges Reservoir Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3445-3463, October.
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    5. Tusar Kanti Hembram & Sunil Saha, 2020. "Prioritization of sub-watersheds for soil erosion based on morphometric attributes using fuzzy AHP and compound factor in Jainti River basin, Jharkhand, Eastern India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1241-1268, February.
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