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Impact of C factor of USLE technique on the accuracy of soil erosion modeling in elevated mountainous area (case study: the Tibetan plateau)

Author

Listed:
  • Jihui Fan

    (CAS)

  • Artemis Motamedi

    (Technical University of Buein Zahra)

  • Majid Galoie

    (Imam Khomeini International University)

Abstract

The soil loss caused by rainfall-runoff process is a global issue which can decrease the lands fertility and increase the flood hazards. There are many different empirical relationships and numerical methods available for soil loss estimation. One of the most commonly used methods is the Universal Soil Loss Equation (USLE), which is widely used to estimate the amount of annual rill erosion. The main aim of this paper was to evaluate the accuracy and applicability of the USLE method in the estimation of soil loss in elevated and rocky mountainous areas of Tibetan plateau. To do this, some of the observed and modeled soil loss data that were available in some Chinese researches, were selected. Land slope, soil type, land cover, Normalized Difference Vegetation Index (NDVI), aspect, monthly and annual rainfall and runoff maps from GIS were derived and investigated to calculate the USLE parameters. The results showed that the accuracy of the USLE model was decreased significantly in regions with high soil loss risk due to ignoring the rock properties and snow cover in K parameter. Also, the results showed that parameters which can decrease the soil loss significantly such as rock fragments content and low height vegetation have to be considered in NDVI calculation. Hence, it is recommended to improve the accuracy of the model by adjusting C factor for elevated mountainous areas based on the rock properties and snow cover which can be derived from the remote sensing maps.

Suggested Citation

  • Jihui Fan & Artemis Motamedi & Majid Galoie, 2021. "Impact of C factor of USLE technique on the accuracy of soil erosion modeling in elevated mountainous area (case study: the Tibetan plateau)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12615-12630, August.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:8:d:10.1007_s10668-020-01133-x
    DOI: 10.1007/s10668-020-01133-x
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    References listed on IDEAS

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    1. Bor-Shiun Lin & Chun-Kai Chen & Kent Thomas & Chen-Kun Hsu & Hsing-Chuan Ho, 2019. "Improvement of the K-Factor of USLE and Soil Erosion Estimation in Shihmen Reservoir Watershed," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
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    Cited by:

    1. Ammar Ak. Ali & Alaa M. Al-Abbadi & Fadhil K. Jabbar & Hassan Alzahrani & Samie Hamad, 2023. "Predicting Soil Erosion Rate at Transboundary Sub-Watersheds in Ali Al-Gharbi, Southern Iraq, Using RUSLE-Based GIS Model," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    2. Joanna Puła & Kazimierz Klima & Angelika Kliszcz & Andrzej Lepiarczyk, 2024. "Anti-Erosion Effectiveness of Selected Crops in Sustainable Mountain Agriculture in a Warming Climate," Sustainability, MDPI, vol. 16(18), pages 1-15, September.

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