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2014 | OriginalPaper | Chapter

https://static-content.springer.com/image/chp%3A10.1007%2F978-3-319-05050-8_84/MediaObjects/319773_1_En_84_Figa_HTML.gif Suggestion of a Landslide Early Warning Method Using a Gradient of Volumetric Water Content

Authors : Byung-Gon Chae, Junghae Choi, Yong-Seok Seo

Published in: Landslide Science for a Safer Geoenvironment

Publisher: Springer International Publishing

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Abstract

This study involved the installation of a real-time monitoring system to observe physical property changes in soils in a slope during rainfall events. This monitoring included the measurement of volumetric water content, which was compared with the results of laboratory flume tests to identify landslide indicators in the soils. The response of volumetric water content to rainfall events is more immediate than that of pore-water pressure, and volumetric water content retains its maximum value for some time before a slope failure. Therefore, an alternative method for landslide monitoring can be based on the observation of volumetric water content and its changes over a time at shallow soil depths. Although no landslide occurred, the field monitoring results showed a directly proportional relationship between the effective cumulative rainfall and the gradient of volumetric water content per unit time (t/t max ). This preliminary study thus related slope failure to the volumetric water content gradient as a function of rainfall. Laboratory results showed that a high amount of rainfall and a high gradient of volumetric water content can induce slope failure. Based on these results, it is possible to suggest a threshold value of the volumetric water content gradient demarcating the conditions for slope stability and slope failure. This threshold can thus serve as the basis of an early warning system for landslides considering both rainfall and soil properties.

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Metadata
Title
Suggestion of a Landslide Early Warning Method Using a Gradient of Volumetric Water Content
Authors
Byung-Gon Chae
Junghae Choi
Yong-Seok Seo
Copyright Year
2014
DOI
https://doi.org/10.1007/978-3-319-05050-8_84