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Water-induced erosion potentiality and vulnerability assessment in Kangsabati river basin, eastern India

Author

Listed:
  • Rabin Chakrabortty

    (The University of Burdwan)

  • Subodh Chandra Pal

    (The University of Burdwan)

  • Alireza Arabameri

    (Tarbiat Modares University)

  • Phuong Thao Thi Ngo

    (Duy Tan University)

  • Indrajit Chowdhuri

    (The University of Burdwan)

  • Paramita Roy

    (The University of Burdwan)

  • Sadhan Malik

    (The University of Burdwan)

  • Biswajit Das

    (The University of Burdwan)

Abstract

The large-scale water-induced erosion is one of the most determining elements on land degradation in subtropical monsoon-dominated region. From this large-scale erosion, the fertility of the agricultural land has been decline consequently. So, estimation of the amount of erosion and its accurate prediction is necessary for escaping from this hazardous situation. In this study, the application of evidential belief function (EBF), spatial logistic regression (SLR) and ensemble of EBF and SLR to estimate the erosion potentiality with the help of ArcGIS and Soil and water assessment tool (SWAT). The average annual soil erosion has been estimated with the help of revised universal soil loss equation (RUSLE) and geographical information system (GIS). Apart from this to evaluate the importance of morphotectonic parameters on soil erosion, the correlation between erosion potentiality and average annual soil erosion has been quantified. In large-scale erosion, there is a direct impact of storm rainfall event in monsoon period in the entire subtropical region. Here, in erosion potentiality assessment, the optimal capacity of ensemble EBF-SLR is higher than the single alone methods, i.e., EBF and SLR. So, the mentioned approaches can be applied in soil erosion research in subtropical environment with considering the erosion causal parameters. This type of information can be helpful to the decision-maker and stakeholders to take proper initiative to reducing the rate of erosion. The main task of the future researcher is to implement this method more accurate ways with considering more reliable variables and slight modifications of the approaches in keeping in the view of regional environment.

Suggested Citation

  • Rabin Chakrabortty & Subodh Chandra Pal & Alireza Arabameri & Phuong Thao Thi Ngo & Indrajit Chowdhuri & Paramita Roy & Sadhan Malik & Biswajit Das, 2022. "Water-induced erosion potentiality and vulnerability assessment in Kangsabati river basin, eastern India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3518-3557, March.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:3:d:10.1007_s10668-021-01576-w
    DOI: 10.1007/s10668-021-01576-w
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    References listed on IDEAS

    as
    1. Rabin Chakrabortty & Subodh Chandra Pal & Mehebub Sahana & Ayan Mondal & Jie Dou & Binh Thai Pham & Ali P. Yunus, 2020. "Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern 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. 104(2), pages 1259-1294, November.
    2. V. Chowdary & D. Ramakrishnan & Y. Srivastava & Vinu Chandran & A. Jeyaram, 2009. "Integrated Water Resource Development Plan for Sustainable Management of Mayurakshi Watershed, India using Remote Sensing and GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1581-1602, June.
    3. David Pimentel, 2006. "Soil Erosion: A Food and Environmental Threat," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 8(1), pages 119-137, February.
    4. Omid Rahmati & Ali Haghizadeh & Stefanos Stefanidis, 2016. "Assessing the Accuracy of GIS-Based Analytical Hierarchy Process for Watershed Prioritization; Gorganrood River Basin, Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1131-1150, February.
    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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