Assessment Rainfall-Induced Landslides Using Arbitrary Dipole–Dipole Direct Resistivity Configuration
Source abstract
Abstract
Landslides are one of the primary geological disasters posing significant threats to life and property. Strengthening the monitoring of rainfall-induced landslides is, therefore, crucial. The Direct Resistivity (DC) method can accurately map the subsurface electrical resistivity distribution, making it an essential tool for predicting the position of the slide face. However, when conducting landslide surface DC surveys, various undulating terrains such as ridges and steep slopes often pose accessibility challenges. In such topographies, conventional regular grid measurements become very difficult. Additionally, when the terrain is highly undulating and complex, interpreting apparent resistivity data can lead to erroneous results. In this study, we propose using the DC method to monitor rainfall-induced landslides. By moving away from traditional device setups and utilizing an arbitrary dipole–dipole observation system, we aim to improve efficiency, enhance data resolution, and reduce costs. The resistivity of the slope was found to change significantly during the incubation, formation, and development of a landslide in physical model experiments. Furthermore, the feasibility of our proposed method for assessment rainfall-induced landslides was illustrated by a real case study in South China.
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Research context
OpenAlex topics: Geophysical Methods and Applications · Landslides and related hazards · Geophysical and Geoelectrical Methods
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Transportation Engineering, Nanjing Tech University, Nanjing 211816, China
School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China
Funding
Anhui Natural Science Foundation
References (30)
Show source-provided references
1. The influences of geological and land use settings on shallow landslides triggered by an intense rainfall event in a coastal terraced environment10.1007/s10064-013-0544-x ↗
2. Landslide databases in the Geological Surveys of Europe10.1007/s10346-017-0902-z ↗
3. Challenges for landslide hazard and risk management in ‘low-risk’ regions, Czech Republic—Landslide occurrences and related costs (IPL project no. 197)10.1007/s10346-017-0798-7 ↗
4. Amitrano, D., Guida, R., Dell’Aglio, D., Di Martino, G., Di Martire, D., Iodice, A., Costantini, M., Malvarosa, F., and Minati, F. (2019). Long-Term Satellite Monitoring of the Slumgullion Landslide Using Space-Borne Synthetic Aperture Radar Sub-Pixel Offset Tracking. Remote Sens., 11.10.3390/rs11030369 ↗
5. Bouali, E.H., Oommen, T., and Escobar-Wolf, R. (2019). Evidence of Instability in Previously-Mapped Landslides as Measured Using GPS, Optical, and SAR Data between 2007 and 2017: A Case Study in the Portuguese Bend Landslide Complex, California. Remote Sens., 11.10.3390/rs11080937 ↗
6. Persistent Scatterers continuous streaming for landslide monitoring and mapping: The case of the Tuscany region (Italy)10.1007/s10346-019-01249-w ↗
7. Reyes-Carmona, C., Barra, A., Galve, J.P., Monserrat, O., Pérez-Peña, J.V., Mateos, R.M., Notti, D., Ruano, P., Millares, A., and López-Vinielles, J. (2020). Sentinel-1 DInSAR for Monitoring Active Landslides in Critical Infrastructures: The Case of the Rules Reservoir (Southern Spain). Remote Sens., 12.10.3390/rs12050809 ↗
8. When image correlation is needed: Unravelling the complex dynamics of a slow-moving landslide in the tropics with dense radar and optical time series10.1016/j.rse.2021.112402 ↗
9. Continuous Observation of Natural-Disaster-Affected Areas Using Ground-Based SAR Interferometry10.1109/JSTARS.2013.2249497 ↗
10. A Noninterferometric Procedure for Deformation Measurement Using GB-SAR Imagery10.1109/LGRS.2013.2245098 ↗
11. Temporal H/alpha Target Decomposition for Landslide Monitoring Using Ku-Band GB-SAR Time Series10.1109/JSTARS.2021.3062879 ↗
12. Retrieval of historical surface displacements of the Baige landslide from time-series SAR observations for retrospective analysis of the collapse event10.1016/j.rse.2020.111695 ↗
13. Mondini, A., Santangelo, M., Rocchetti, M., Rossetto, E., Manconi, A., and Monserrat, O. (2019). Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection. Remote Sens., 11.10.3390/rs11070760 ↗
14. Optimized electrical resistivity tomography investigation established in identifying pit tombs of Mogareb, a cemetery area in a Pre-Aksumite archaeological site of Seglamen, northern Ethiopia10.1016/j.measurement.2018.07.084 ↗
15. Combined Inversion of Land and Marine Electrical Resistivity Tomography for Submarine Groundwater Discharge and Saltwater Intrusion Characterization10.1029/2019GL085877 ↗
16. Internal Structure of a Seafloor Massive Sulfide Deposit by Electrical Resistivity Tomography, Okinawa Trough10.1029/2019GL083749 ↗
17. Idrisi as a Tool for Slope Stability Analysis
18. Inversion of 3D electromagnetic data in frequency and time domain using an inexact all-at-once approach
19. 3D DC Resistivity Inversion with Topography Based on Regularized Conjugate Gradient Method10.1155/2013/931876 ↗
20. Manenti, S., Amicarelli, A., and Todeschini, S. (2018). WCSPH with limiting viscosity for modelling landslide hazard at the slopes of artificial reservoir. Water, 10.10.3390/w10040515 ↗
21. Recent developments in the direct-current geo-electrical imaging method10.1016/j.jappgeo.2013.02.017 ↗
22. Three-dimensional modelling and inversion of dc resistivity data incorporating topography—II
23. Three-dimensional resistivity inversion based on unstructured grids with topography
24. Survey of GPS Signal Strength Measurement and Analysis
25. Xie, W., Wang, K., Fu, W., Xie, S., Cui, B., and Li, M. (2024). Real-Time Estimation of BDS-3 Satellite Clock Offset with Ambiguity Resolution Using B1C/B2a Signals. Remote Sens., 16.10.3390/rs16101666 ↗
26. Wang, L., and Qiu, R. (2020). BeiDou Satellite Positioning Method Based on IoT and Edge Computing. Sensors, 20.10.3390/s20030889 ↗
27. Using Inertial Sensors for Position and Orientation Estimation10.1561/2000000094 ↗
28. Determining the Field of Application of the Noncontact Resistivity Technique10.3103/S0145875220060058 ↗
29. Application of joint inversion of Wenner and pole--dipole arrays in limestone exploration
30. Types, causes, environmental control factors, and influencing factors of landslides in Zhejiang