Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/154744
Title: Autocorrelation-based Geophysical Bedrock Mapping Using Ambient Noise
Authors: Zhang, Yunhuo
Li, Yunyue Elita 
Ku Taeseo 
Keywords: Passive seismic mapping
ambient noise
autocorrelation
bedrock detection
Issue Date: 22-Nov-2018
Citation: Zhang, Yunhuo, Li, Yunyue Elita, Ku Taeseo (2018-11-22). Autocorrelation-based Geophysical Bedrock Mapping Using Ambient Noise. ScholarBank@NUS Repository.
Abstract: Bedrock detection is an essential and critical task in geotechnical site investigation for mega infrastructure and underground construction projects. This paper presents a new approach of geophysical near-surface underground survey, namely autocorrelation seismic interferometry which is using ambient noise and conducted in passive manner. A preliminary field testing carried out in Singapore is presented to demonstrate the concept and results in steps. A by-product of realistic average Vp of the soil layers above bedrock can be estimated reasonably by the proposed method. In view of the proof of concept of detecting bedrock accurately, and the easy and flexible field implementation, also less subject to site conditions, the proposed approach can be an attractive option for geotechnical site investigation especially for delineating the bedrock topography.
URI: https://scholarbank.nus.edu.sg/handle/10635/154744
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