A Review of Groundwater Observation Methods for Slow-Moving Landslide

YOKOYAMA, Kenji; IMAIZUMI, Fumitoshi; EGUSA, Tomohiro

doi:10.13101/ijece.15.7

Cited by 1 publication

(1 citation statement)

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“…While these gravitational phenomena rarely cause fatalities, they pose a significant threat to infrastructure and can escalate into fast-moving landslides causing widespread casualties (Lacroix et al, 2020). The enduring motion of these landslides offers a unique chance to detect landslide processes and mechanisms, governed by much more complex dynamics, as deformations in most cases depend on variations in the groundwater regime (Yokoyama et al, 2022). The rate of landslide movement is controlled, both in the accelerating and decelerating phases, by pore-water pressure variations that are, in turn, strictly correlated to the net rainfall regime and snowmelt.…”

Section: Introductionmentioning

confidence: 99%

Assessing climate impacts on slow-moving landslides in the western Alps of Piemonte: integration of monitoring techniques for detecting displacements

Narcisi,

Pappalardo,

Taddia

et al. 2024

Front. Earth Sci.

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The influence of climatic factors on landslides triggers and displacement rates is a crucial research topic, especially due to the growing need to understand the evolution of climate change in historical periods of intense precipitation and anomalous temperature increases. Italy, highly prone to hydrogeological instability, extremely its mountainous regions such as the Alps, stands as a pertinent subject area for instability scenarios. However, the interpretation of climate effects on landslides is still an open issue. This work proposed a simplified methodology for investigating the displacements of three slow-moving landslides located in the Western Alps of Piemonte region, in response to significant meteorological events evaluated from reference normal of precipitation and temperature trends over the reference period 1991–2020. Another purpose is to emphasize the advantages of using different monitoring techniques by comparing displacement time series measured with in situ and remote sensing instruments, to detect ground deformation processes of these gravitational phenomena. The existence of a robust monitoring network, coupled with InSAR dataset support, has allowed detecting climatic factors’ impact on displacement rates for the outlined case studies. The results have demonstrated the relationships between the identified climatic events and variations in displacement time series, as well as the potential of integrating field observations and InSAR techniques to improve the interpretation of landslide dynamics. Although this study has laid the basis for understanding the influence of climatic factors on landslide displacements, there is still much to investigate and refine. The proposed preliminary analysis will further improve the ability to predict, monitor and mitigate landslide risk under changing climate conditions.

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Section: Introductionmentioning

confidence: 99%