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The New Island-Wide LS Factors of Taiwan, with Comparison with EU Nations

Author

Listed:
  • Walter Chen

    (Department of Civil Engineering, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Kieu Anh Nguyen

    (Department of Civil Engineering, National Taipei University of Technology, Taipei 10608, Taiwan)

Abstract

Soil erosion is a global environmental challenge that the United Nations Sustainable Development Goal (UN SDG) #15 wants to address, and the topographic factor, according to the RUSLE (Revised Universal Soil Loss Equation) model, is one of the most critical factors causing soil erosion. In this study, we employed three separate digital elevation models of Taiwan, with horizontal resolution ranging from 20 to 90 m, to compute the LS factors based on the upslope contributing areas and multiple flow directions, utilizing the methodologies used by the European Soil Data Centre. This is the first study to create a map of Taiwan’s island-wide LS factors without using a fixed slope length of 40 m. To compare European Union countries with Taiwan, we also calculated their LS means, standard deviations, and coefficients of variation of LS factors. As a result, Taiwan’s high LS values are readily noticeable as compared to the EU. Taiwan’s LS factor is greater than that of any EU country and the United Kingdom, at 2.69 times the EU average. To put it another way, while all other erosive factors are held equal, Taiwan’s average soil erosion is about 2.69 times that of the EU. With an LS factor of 6.95, Austria has the highest average LS in the EU, yet it is 91 percent of Taiwan’s. The findings demonstrate that Taiwan has a far higher mean LS factor than any EU country or the United Kingdom, which helps to partially explain why soil erosion in Taiwan is substantially higher than in the EU.

Suggested Citation

  • Walter Chen & Kieu Anh Nguyen, 2022. "The New Island-Wide LS Factors of Taiwan, with Comparison with EU Nations," Sustainability, MDPI, vol. 14(5), pages 1-11, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:3059-:d:764938
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    References listed on IDEAS

    as
    1. Kieu Anh Nguyen & Walter Chen & Bor-Shiun Lin & Uma Seeboonruang & Kent Thomas, 2019. "Predicting Sheet and Rill Erosion of Shihmen Reservoir Watershed in Taiwan Using Machine Learning," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    2. Lo, Kwong Fai A., 1994. "Quantifying soil erosion for the Shihmen reservoir watershed, Taiwan," Agricultural Systems, Elsevier, vol. 45(1), pages 105-116.
    3. 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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    Citations

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    Cited by:

    1. Semih Ediş & Özgür Burhan Timur & Gamze Tuttu & İbrahim Aytaş & Ceyhun Göl & Ali Uğur Özcan, 2023. "Assessing the Impact of Engineering Measures and Vegetation Restoration on Soil Erosion: A Case Study in Osmancık, Türkiye," Sustainability, MDPI, vol. 15(15), pages 1-16, August.
    2. Walter Chen & Kieu Anh Nguyen & Yu-Chieh Huang, 2023. "Soil Erosion in Taiwan," Agriculture, MDPI, vol. 13(10), pages 1-18, October.

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