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Comparison of different approaches to LS factor calculations based on a measured soil loss under simulated rainfall

Author

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  • Michaela Hrabalíková

    (Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
    Department of Soil Science and Soil Protection, Research Institute for Soil and Water Conservation, Prague-Zbraslav, Czech Republic)

  • Miloslav Janeček

    (Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic)

Abstract

Geographic Information Systems (GIS) in combination with soil loss models can enhance evaluation of soil erosion estimation. SAGA and ARC/INFO geographic information systems were used to estimate the topographic (LS) factor of the Universal Soil Loss Equation (USLE) that in turn was used to calculate the soil erosion on a long-term experimental plot near Prague in the Czech Republic. To determine the influence of a chosen algorithm on the soil erosion estimates a digital elevation model with high accuracy (1 × 1 m) and a measured soil loss under simulated rainfall were used. These then provided input for five GIS-based and two manual procedures of computing the combined slope length and steepness factor in the (R)USLE. The results of GIS-based (R)USLE erosion estimates from the seven procedures were compared to the measured soil loss from the 11 m long experimental plot and from 38 rainfall simulations performed here during 15 years. The results indicate that the GIS-based (R)USLE soil loss estimates from five different approaches to calculation of LS factor are lower than the measured average annual soil loss. The two remaining approaches over-predicted the measured soil loss. The best method for LS factor estimation on field scale is the original manual method of the USLE, which predicted the average soil loss with 6% difference from the measured soil loss. The second method is the GIS-based method that concluded a difference of 8%. The results of this study show the need for further work in the area of soil erosion estimation (with particular focus on the rill/interrill ratio) using the GIS and USLE. The study also revealed the need for an application of the same approach to catchment area as it might bring different outcomes.

Suggested Citation

  • Michaela Hrabalíková & Miloslav Janeček, 2017. "Comparison of different approaches to LS factor calculations based on a measured soil loss under simulated rainfall," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 12(2), pages 69-77.
    • Handle: RePEc:caa:jnlswr:v:12:y:2017:i:2:id:222-2015-swr
    DOI: 10.17221/222/2015-SWR
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    References listed on IDEAS

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    1. Björn Tetzlaff & Frank Wendland, 2012. "Modelling Sediment Input to Surface Waters for German States with MEPhos: Methodology, Sensitivity and Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 165-184, January.
    2. Václav KADLEC & Ondřej HOLUBÍK & Eva PROCHÁZKOVÁ & Jana URBANOVÁ & Martin TIPPL, 2012. "Soil organic carbon dynamics and its influence on the soil erodibility factor," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 7(3), pages 97-108.
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