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Shifting Sands: Assessing Bankline Shift Using an Automated Approach in the Jia Bharali River, India

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  • Jatan Debnath

    (Department of Geography, Gauhati University, Guwahati 781014, India)

  • Dhrubajyoti Sahariah

    (Department of Geography, Gauhati University, Guwahati 781014, India)

  • Anup Saikia

    (Department of Geography, Gauhati University, Guwahati 781014, India)

  • Gowhar Meraj

    (Department of Ecology, Environment and Remote Sensing, Government of Jammu and Kashmir, Kashmir 182301, India
    Centre for Climate Change and Water Research, Suresh Gyan Vihar University, Jaipur 302017, India)

  • Nityaranjan Nath

    (Department of Geography, Gauhati University, Guwahati 781014, India)

  • Durlov Lahon

    (Department of Geography, Gauhati University, Guwahati 781014, India)

  • Wajahat Annayat

    (Institute of Technology, University of Kashmir, Srinagar 190006, India)

  • Pankaj Kumar

    (Institute for Global Environmental Strategies, Hayama 240-0115, Japan)

  • Kesar Chand

    (Himachal Regional Centre (Himachal Pradesh), GB Pant National Institute of Himalayan Environment (NIHE), Kullu 175126, India)

  • Suraj Kumar Singh

    (Centre for Climate Change and Water Research, Suresh Gyan Vihar University, Jaipur 302017, India)

  • Shruti Kanga

    (Department of Geography, School of Environment and Earth Sciences, Central University, Bathinda 151401, India)

Abstract

Bank erosion hazard is a frequent occurrence that poses threats to floodplain ecosystems. This analysis examined changes to the Jia Bharali River channel in India using the GIS-based Digital Shoreline Analysis System [DSAS]. The Jia Bharali’s future channel was predicted so as to identify the most erosion-susceptible zones. The rate of bankline movement was calculated using remotely sensed data collected over a period of 45 years (1976–2021). The results show that the river’s erosion and deposition rates were higher in the early years than towards the later part of the period under analysis. On the right and left banks of the river, the average shift rate was −9.22 and 5.8 m/y, respectively, which is comparatively high. The chosen portion of the river was evenly divided into three zones, A, B, and C. The most positively affected zone was zone A. The left bank of zone B exhibited a higher rate of erosion than the right bank, indicating that the river was moving to the left [eastward] in this zone. At the same time, the right bank was being eroded faster than the left, indicating a westward thrust at zone C. The predicted result demonstrates that the left bank of zone B and the right bank of zone C would have a higher average migration rate. Therefore, these banks were identified as being the most susceptible to bank erosion. The study evaluates the spatio-temporal change of the river in sensitive regions where neighboring settlements and infrastructure were at risk of changing channel dynamics. Using the actual and forecasted bankline, the degree of accuracy was confirmed. The results of the automated prediction approach could be useful for river hazard management in the Jia Bharali and in similar environmental settings with tropical high precipitation zones.

Suggested Citation

  • Jatan Debnath & Dhrubajyoti Sahariah & Anup Saikia & Gowhar Meraj & Nityaranjan Nath & Durlov Lahon & Wajahat Annayat & Pankaj Kumar & Kesar Chand & Suraj Kumar Singh & Shruti Kanga, 2023. "Shifting Sands: Assessing Bankline Shift Using an Automated Approach in the Jia Bharali River, India," Land, MDPI, vol. 12(3), pages 1-26, March.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:3:p:703-:d:1100719
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    References listed on IDEAS

    as
    1. Praveen Thakur & Chalantika Laha & S. Aggarwal, 2012. "River bank erosion hazard study of river Ganga, upstream of Farakka barrage using remote sensing and GIS," 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. 61(3), pages 967-987, April.
    2. Nityaranjan Nath & Dhrubajyoti Sahariah & Gowhar Meraj & Jatan Debnath & Pankaj Kumar & Durlov Lahon & Kesar Chand & Majid Farooq & Pankaj Chandan & Suraj Kumar Singh & Shruti Kanga, 2023. "Land Use and Land Cover Change Monitoring and Prediction of a UNESCO World Heritage Site: Kaziranga Eco-Sensitive Zone Using Cellular Automata-Markov Model," Land, MDPI, vol. 12(1), pages 1-21, January.
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