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The influence of deforestation and anthropogenic activities on runoff generation

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  • Mohammad Reza KHALEGHI

Abstract

In recent decades, due to rapid human population increases and in its results, destructive effects of anthropogenic activities on natural resources have become a great challenge. Land use and vegetation are important factors in soil erosion and runoff generation. This study was performed to assess the effects of different amounts of forest cover on the control of runoff and soil loss in the Talar basin, which is located in Mazandaran province, using a runoffrainfall model, geographical information system (GIS) and remote sensing (RS) to determine the hydrologic effects of deforestation on the Talar watershed (north of Iran). A runoff-rainfall model has been presented using GIS (HECGeoHMS) and hydrologic model (HEC-HMS). Land use changes (deforestation) and anthropogenic activities (roads and impervious surfaces development) were evaluated using RS techniques and satellite images. We used the Soil Conservation Service and Curve Number methods for hydrograph simulation and runoff estimation, respectively. First, a model was performed and optimized. Afterward, the optimized model was evaluated by other six events of floods (model validation). According to the obtained results, the runoff generation potential has been increased in the Talar watershed due to deforestation during the last forty years. Land use changes cause an increase in runoff volume and flood peak discharge.

Suggested Citation

  • Mohammad Reza KHALEGHI, 2017. "The influence of deforestation and anthropogenic activities on runoff generation," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 63(6), pages 245-253.
    • Handle: RePEc:caa:jnljfs:v:63:y:2017:i:6:id:130-2016-jfs
    DOI: 10.17221/130/2016-JFS
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    References listed on IDEAS

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    1. V. Gholami & M. Ahmadi Jolandan & J. Torkaman, 2017. "Evaluation of climate change in northern Iran during the last four centuries by using dendroclimatology," 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. 85(3), pages 1835-1850, February.
    2. Vahid GHOLAMI & Mohamad Reza KHALEGHI, 2013. "The impact of vegetation on the bank erosion (Case study: The Haraz River)," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 8(4), pages 158-164.
    3. Esmaeili Hoseen GHOLZOM & Vahid GHOLAMI, 2012. "A comparison between natural forests and reforested lands in terms of runoff generation potential and hydrologic response (case study: Kasilian Watershed)," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 7(4), pages 166-173.
    4. K. Geetha & S. Mishra & T. Eldho & A. Rastogi & R. Pandey, 2008. "SCS-CN-based Continuous Simulation Model for Hydrologic Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(2), pages 165-190, February.
    5. Mohammad Reza KHALEGHI & Jamal GHODUSI & Hassan AHMADI, 2014. "Regional analysis using the Geomorphologic Instantaneous Unit Hydrograph (GIUH) method," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 9(1), pages 25-30.
    6. Vikrant Jain & R. Sinha, 2003. "Derivation of Unit Hydrograph from GIUH Analysis for a Himalayan River," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 17(5), pages 355-376, October.
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    1. Vahid Gholami & Mohammad Reza Khaleghi, 2021. "A simulation of the rainfall-runoff process using artificial neural network and HEC-HMS model in forest lands," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 67(4), pages 165-174.

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