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

Lin Wang (), Ichiro Seko (), Makoto Fukuhara (), Ikuo Towhata (), Taro Uchimura () and Shangning Tao ()
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Lin Wang: Chuo Kaihatsu Corporation
Ichiro Seko: Chuo Kaihatsu Corporation
Makoto Fukuhara: Chuo Kaihatsu Corporation
Ikuo Towhata: University of Tokyo
Taro Uchimura: Saitama University
Shangning Tao: Chuo Kaihatsu Corporation

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 114, issue 1, No 6, 127-156

Abstract: 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.

Keywords: Early warning; Warning threshold; Disaster mitigation; Slopes failure; Risk evaluation (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11069-022-05383-y

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