[S-TT39] Synthetic Aperture Radar and its application

[STT39-P10] Integration of Electrical Resistivity Tomography and Remote Sensing methods to interpret the activity of mud volcanoes in southwestern Taiwan

*Tzung-Ting Chen¹, Ting-Li Lin², Rou-Fei Chen¹, Guo-Zhen Zhang³, Yi-Chung Chen¹, Shao-Wei Wu⁴, Chia-Hung Ye⁴ (1.Department of Materials and Mineral Resources Engineering, NTUT, 2.Department of Earth Sciences, NCKU, 3.Department of Civil Engineering, NTUT, 4.CECI Engineering Consultants, Inc. Taiwan)

Keywords:Electrical Resistivity Tomography (ERT), Unmanned Aerial Vehicle LiDAR technique (UAV-LiDAR), Multi Temporal InSAR(MT-InSAR), Gunshuiping mud volcano

To promote the development of foundry technology industry, Taiwan government has launched the evaluation and survey of Taiwan Ciaotou Science Park in 2018. In recent years, most research of mud volcanoes in southwestern Taiwan focuses on tectonic origin, chemical analysis and energy exploration, etc. However, rarely has the results been published on the engineering safety and the environmental impact assessment in the adjacent areas of mud volcanoes. In order to investigate the activity of Gunshuiping mud volcano, this study adopted Electrical Resistivity Tomography (ERT) to measure the resistivity distribution of the mud volcano subsurface materials, to obtain the 2D resistivity profiling data, and 3D geoelectrical modeling in order to interpret the feed channels and shallow mud reservoir of the mud volcano. In the meanwhile, a number of remote sensing techniques including the Unmanned Aerial Vehicle LiDAR technique (UAV-LiDAR), which is used to generate DSM with resolution of 0.1 m and DEM with resolution of 0.2 m. In addition, it is combined with the Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) technique to analyze the surface deformation of mud volcano. The overall research results, indicate that most of the shallow mud reservoirs are located in between 5 m to 20 m below the surface identified by ERT; and the uplift trend thereof is consistent with the mud channel structure and exposure of mud volcanic orifice. This not only points out a certain correlation between the underground mud volcano system and the mud volcano surface deformation, but also verifies the feasibility of combining geophysical and remote sensing methods.