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Risk evaluation and warning threshold of unstable slope using tilting sensor array

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Abstract

Slope monitoring and early warning systems are a promising approach toward mitigating landslide-induced disasters. Many large-scale sediment disasters result in the destruction of infrastructure and loss of human life. The mitigation of vulnerability to slope and landslide hazards will benefit significantly from early warning alerts. The authors have been developing monitoring technology that uses a micro-electro-mechanical systems tilt sensor array that detects the precursory movement of vulnerable slopes and informs the issuance of emergency caution and warning alerts. In this regard, the determination of alarm thresholds is very important. Although previous studies have investigated the recording of threshold values by an extensometer which installation of an extensometer at appropriate sites is also difficult. The authors prefer tilt sensors and have proposed a novel threshold for the tilt angle, which was validated in this study. This threshold has an interesting similarity to previously reported viscous models. Additionally, multi-point monitoring has recently emerged and allows for many sensors to be deployed at vulnerable slopes without disregarding the slope’s precursory local behavior. With this new technology, the detailed spatial and temporal variation of the behavior of vulnerable slopes can be determined as the displacement proceeds toward failure.

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Acknowledgements

The authors gratefully acknowledge the support provided to this study by the Council for Science, Technology and Innovation, “Cross-ministerial Strategic Innovation Promotion Program (SIP), Infrastructure Maintenance, Renovation, and Management” (funding agency: NEDO), Sino-Japanese Intergovernmental International Cooperation in Science and Technology Innovation (Project Nos: 2021YFE0111900).

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Authors and Affiliations

  1. Chuo Kaihatsu Corporation, Address: 3-13-5 Nishi-Waseda, Shinjuku-Ku, Tokyo, 169-8612, Japan

    Lin Wang, Ichiro Seko, Makoto Fukuhara & Shangning Tao

  2. University of Tokyo, Tokyo, Japan

    Ikuo Towhata

  3. Saitama University, Saitama City, Japan

    Taro Uchimura

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  1. Lin Wang
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  2. Ichiro Seko
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  3. Makoto Fukuhara
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  5. Taro Uchimura
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Correspondence to Lin Wang.

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Hereby, We “Lin Wang, Ichiro Seko, Makoto Fukuhara, Ikuo Towhata, Taro Uchimura, Shangning Tao” consciously assure that for the manuscript “ Risk evaluation and warning threshold of unstable slope using tilting sensor array” the following is fulfilled:

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Wang, L., Seko, I., Fukuhara, M. et al. Risk evaluation and warning threshold of unstable slope using tilting sensor array. Nat Hazards 114, 127–156 (2022). https://doi.org/10.1007/s11069-022-05383-y

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