Application of Monitoring Data for the Prediction of the Time to Failure and Risk Management

Shoaei, Ziaoddin; Karamsoltani, Karim

doi:10.1007/978-3-642-31445-2_72

Landslide Science and Practice 2013

DOI: 10.1007/978-3-642-31445-2_72

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Application of Monitoring Data for the Prediction of the Time to Failure and Risk Management

Ziaoddin Shoaei

Karim Karamsoltani²

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2022

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Determinations of the early warning threshold for creep landslides and their applications

Zhou¹,

YE²,

Huang³

2022

Sci. Sin.-Tech.

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The accuracy of the threshold is very important for early warning of slopes. However, the existing slope failure threshold criteria are insufficiently accurate and have limited applicability. This paper proposes three dimensionless parameters based on slope deformation displacement, velocity, and acceleration and statistically analyzes 80 slope deformation monitoring examples. The second-order dimensionless failure threshold is obtained using probability and statistics theory. The dimensionless threshold is applied in the early warning analysis of landslide #2 in Jiangxi Province's copper mine. The results show that: (1) the "two-sample heteroscedasticity t-test" method shows that the dimensionless parameters in the failure case are significantly greater than the dimensionless parameters in the non-failure case. (2) A dimensionless threshold can eliminate the influence of vector parameters, which are physical in nature. (3) The "ROC curve" approach is used to validate the reliability and accuracy of the dimensionless threshold model, and it is theoretically explained that the prediction accuracy of the dimensionless threshold of acceleration is relatively the highest. (4) In this situation, the corresponding warning time of the three dimensionless thresholds is not the same, with the secondary dimensionless threshold of acceleration having the earliest time.

show abstract

Determinations of the early warning threshold for creep landslides and their applications

Zhou¹,

YE²,

Huang³

2022

Sci. Sin.-Tech.

View full text Add to dashboard Cite

show abstract

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Application of Monitoring Data for the Prediction of the Time to Failure and Risk Management

Cited by 1 publication

References 2 publications

Determinations of the early warning threshold for creep landslides and their applications

Determinations of the early warning threshold for creep landslides and their applications

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