Self-potential variations associated with the slip of Huangnibazi Landslide

Hu，Kaiyan1,2,3; Huang，Qinghua1; Tang，Minggao4; Xue，Lian1; Han，Peng2

2024

10.1016/j.jappgeo.2023.105275

Journal of Applied Geophysics   影响因子和分区

0926-9851

The electrical self-potential (SP) responds to the relative fluid flow in porous materials caused by the electrokinetic mechanism, also known as the streaming potential. This characteristic can be used to study landslides induced by rainfall, particularly when subsurface flows cannot be directly observed from the ground surface or landslide scars. The study focuses on the Huangnibazi Landslide, which occurred in 2017 and continued to slide slowly until early 2018 at an average rate of 60 mm/d. SP monitoring was implemented on the slope during the post-failure period to study the characteristics of streaming current. In addition to the diurnal variations of the geoelectric field, localized electric field variations were observed on the morning of Jan. 9, 2018. To examine the spatial distribution and the temporal variation of the streaming current, we processed the measured SP data using a weighted upward continuing method, namely the multi-scale wavelet tomography (MWT). Based on the processing results obtained with the MWT method, we observed variations in the estimated SP sources concentrated in a bulge area. To further investigate these variations, we conducted a numerical modeling test by deforming the geometrical structure of the estimated source. The results suggested that extrusion within the sliding process could be responsible for the variations in SP sources.

Post-failure landslide Self-potential monitoring Wavelet analysis

SCI

英语

其他

GEOSCIENCES

2-s2.0-85180537702

Scopus

1.Department of Geophysics,School of Earth and Space Sciences,Peking University,Beijing,100871,China
2.Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,518055,China
3.Shenzhen Institute,Peking University,Shenzhen,518057,China
4.State Key Laboratory of Geohazards Prevention and Geoenvironment Protection (SKLGP),Chengdu University of Technology,Chengdu,610059,China

Hu，Kaiyan,Huang，Qinghua,Tang，Minggao,et al. Self-potential variations associated with the slip of Huangnibazi Landslide[J]. Journal of Applied Geophysics,2024,220.

Hu，Kaiyan,Huang，Qinghua,Tang，Minggao,Xue，Lian,&Han，Peng.(2024).Self-potential variations associated with the slip of Huangnibazi Landslide.Journal of Applied Geophysics,220.

Hu，Kaiyan,et al."Self-potential variations associated with the slip of Huangnibazi Landslide".Journal of Applied Geophysics 220(2024).