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Landslide Susceptibility Assessment Method during the Construction of Highways Based on the Index Complexity Algorithm

Author

Listed:
  • Daming Lin

    (Research Institute of Highway, Ministry of Transport, Beijing 100088, China)

  • Yufang Zhang

    (Railway Engineering Research Institute, China Academy of Railway Sciences Co., Ltd., Beijing 100081, China)

  • Shumao Qiu

    (Research Institute of Highway, Ministry of Transport, Beijing 100088, China)

  • Mingzhou Bai

    (Department of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Haoying Xia

    (Research Institute of Highway, Ministry of Transport, Beijing 100088, China)

  • Wei Qiao

    (School of Engineering and Technology, China University of Geosciences Beijing, Beijing 100083, China)

  • Zhenyu Tang

    (Research Institute of Highway, Ministry of Transport, Beijing 100088, China)

Abstract

Landslides represent the most destructive and prevalent geological hazards along mountainous highways, severely imperiling the construction and maintenance of road infrastructure. To mitigate risks associated with high slopes during construction, a systematic evaluation of landslide susceptibility is imperative. This study introduces an assessment method developed over three years of engineering practice, integrating ten parameters that are intricately linked to construction scale, geological conditions, and engineering design. The method innovatively employs the Index Complexity Algorithm (ICA) to ascertain the weight distribution of the parameters, thereby diminishing the impact of subjective biases in qualitative assessments and enhancing the objectivity and precision of the evaluation. Utilizing the slope in China as a case study, the paper meticulously demonstrates the application of the assessment method. A comprehensive evaluation of the slope’s geological context, construction scale, and design rationality by the ICA algorithm yields a quantified risk score for the slope’s potential hazards. The findings indicate that the slope is classified as high risk (Grade III) during highway construction, necessitating the implementation of risk mitigation measures such as prestressed anchor cables and grouting anchorage. Beyond offering a novel methodological approach to landslide risk assessment, the method significantly contributes to the sustainable construction and operation of mountainous highways. Anticipated refinements in the assessment process and the parameter are poised to augment the method’s efficacy in slope engineering safety management, thereby bolstering the long-term stability and environmental sustainability of mountain highways.

Suggested Citation

  • Daming Lin & Yufang Zhang & Shumao Qiu & Mingzhou Bai & Haoying Xia & Wei Qiao & Zhenyu Tang, 2024. "Landslide Susceptibility Assessment Method during the Construction of Highways Based on the Index Complexity Algorithm," Sustainability, MDPI, vol. 16(14), pages 1-14, July.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:6147-:d:1437962
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    References listed on IDEAS

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    1. Xiaojie Yang & Zhenli Hao & Keyuan Liu & Zhigang Tao & Guangcheng Shi, 2023. "An Improved Unascertained Measure-Set Pair Analysis Model Based on Fuzzy AHP and Entropy for Landslide Susceptibility Zonation Mapping," Sustainability, MDPI, vol. 15(7), pages 1-28, April.
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