Application of Stream Conductivity to Activity of Potential Large-Scale Landslide

Yuan Jung Tsai,Fang Tsz Syu,Wei Lin Lee,Chieh Hsuan Weng,Yi Jing Chen,Kun-An Hsu

doi:10.3389/feart.2022.759556

Abstract

Underclimate changes, extreme rainfall events can cause catastrophic sediment-related disasters such as large-scale landslides. To work on disaster prevention, the government has investigated the location of potential large-scale landslides by a geological and geomorphological approach. However, the activity of potential large-scale landslides has to rely on expensive on-site monitoring system, for example, observed drill hole of groundwater and underground displacement. Recently, the variation of stream electronic conductivity has been proposed to investigate the activity of large-scale landslide in Japan. Therefore, this study applied this concept in Taiwan. First, the temporal and spatial variations of stream electronic conductivity near the potential large-scale landslide have been surveyed. Accordingly, an interesting finding is that the spring water from the potential large-scale landslide can increase the concentration of chemical ion, and thus, the value of stream electronic conductivity increases. Second, the comparison of rainfall data, stream electronic conductivity, and ground surface displacement has been analyzed. There is a sound agreement between stream electronic conductivity and ground surface displacement. This result implied that stream electronic conductivity could be a possible index to monitoring the activity of potential large-scale landslides indirectly.

Highlights

Extreme climatic effects have accelerated rainfall-induced large-scale landslides (LSLs) (Stanley and Kirschbaum, 2017; Kirschbaum and Stanley, 2018); occurrence assessment has emerged as the critical issue in slope management
This study investigated the ZulinPLSL area exploring seasonal differences in stream conductivity over time
electrical conductivity (EC) changes along difference distance from the potential large-scale landslide (PLSL) were analyzed

Summary

Introduction

Extreme climatic effects have accelerated rainfall-induced large-scale landslides (LSLs) (Stanley and Kirschbaum, 2017; Kirschbaum and Stanley, 2018); occurrence assessment has emerged as the critical issue in slope management. Marui (2017) pointed out that the investigation of LSLs can be detected by specific topographic features, such as “double ridge,” “head scarp,” and “gully.” Chigira (2014) called it a geological and geomorphological approach and has wildly applied it for the detection of LSLs. the images could only elucidate areas of deformation that the time of occurrence of the deformation remains unknown. There is currently a lack of precision of quantitative methods to accurately predict when the PLSL will collapse

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Results

Conclusion