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Modeling the Impact of Climate Change and Land Use Change Scenarios on Soil Erosion at the Minab Dam Watershed

Author

Listed:
  • Mohammad Reza Azimi Sardari

    (Watershed Engineering and Science, Qeshm Campus, University of Hormozgan, Bandar Abbas 7916193145, Iran)

  • Ommolbanin Bazrafshan

    (Faculty of Agriculture and Natural Resources, University of Hormozgan, Bandar Abbas 7916193145, Iran)

  • Thomas Panagopoulos

    (Research Center for Spatial and Organizational Dynamics (CIEO), Universidade do Algarve, Campus de Gambelas, 8005 Faro, Portugal)

  • Elham Rafiei Sardooi

    (Faculty of Natural Resources, University of Jiroft, Kerman 7867161167, Iran)

Abstract

Climate and land use change can influence susceptibility to erosion and consequently land degradation. The aim of this study was to investigate in the baseline and a future period, the land use and climate change effects on soil erosion at an important dam watershed occupying a strategic position on the narrow Strait of Hormuz. The future climate change at the study area was inferred using statistical downscaling and validated by the Canadian earth system model (CanESM2). The future land use change was also simulated using the Markov chain and artificial neural network, and the Revised Universal Soil Loss Equation was adopted to estimate soil loss under climate and land use change scenarios. Results show that rainfall erosivity (R factor) will increase under all Representative Concentration Pathway (RCP) scenarios. The highest amount of R was 40.6 MJ mm ha −1 h −1 y −1 in 2030 under RPC 2.6. Future land use/land cover showed rangelands turning into agricultural lands, vegetation cover degradation and an increased soil cover among others. The change of C and R factors represented most of the increase of soil erosion and sediment production in the study area during the future period. The highest erosion during the future period was predicted to reach 14.5 t ha −1 y −1 , which will generate 5.52 t ha −1 y −1 sediment. The difference between estimated and observed sediment was 1.42 t ha −1 year −1 at the baseline period. Among the soil erosion factors, soil cover (C factor) is the one that watershed managers could influence most in order to reduce soil loss and alleviate the negative effects of climate change.

Suggested Citation

  • Mohammad Reza Azimi Sardari & Ommolbanin Bazrafshan & Thomas Panagopoulos & Elham Rafiei Sardooi, 2019. "Modeling the Impact of Climate Change and Land Use Change Scenarios on Soil Erosion at the Minab Dam Watershed," Sustainability, MDPI, vol. 11(12), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:12:p:3353-:d:240602
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    4. Aazim Yousuf & Shakil Ahmad Romshoo, 2022. "Impact of Land System Changes and Extreme Precipitation on Peak Flood Discharge and Sediment Yield in the Upper Jhelum Basin, Kashmir Himalaya," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    5. Jincheng Huang & Yueyan Liu & Xiaoying Zhang & Yu Wang & Yisong Wang, 2019. "A Scenario-Based Simulation of Land System Changes on Dietary Changes: A Case Study in China," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    6. Rafiei-Sardooi, Elham & Azareh, Ali & Joorabian Shooshtari, Sharif & Parteli, Eric J.R., 2022. "Long-term assessment of land-use and climate change on water scarcity in an arid basin in Iran," Ecological Modelling, Elsevier, vol. 467(C).
    7. Zohreh Hashemi Aslani & Vahid Nasiri & Carmen Maftei & Ashok Vaseashta, 2023. "Synergetic Integration of SWAT and Multi-Objective Optimization Algorithms for Evaluating Efficiencies of Agricultural Best Management Practices to Improve Water Quality," Land, MDPI, vol. 12(2), pages 1-20, February.
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