Application of Multi-Station High-Frequency Microtremor Surface Wave Exploration in Coastal Engineering Research: A Case Study of Dongzhou Peninsula in Fujian Province
This study proposes a multi-station high-frequency microtremor surface-wave exploration method for high-resolution characterization of shallow subsurface structures in coastal engineering environments. Three representative layered geological models were established, and Rayleigh-wave theoretical dispersion curves were calculated using a fast vector transfer algorithm to analyze dispersion characteristics associated with different stratigraphic conditions. Five array geometries were then employed to acquire high-frequency ambient-noise data, and dispersion curves were extracted using the Extended Spatial Autocorrelation (ESPAC) method. Comparative analysis revealed that the rectangular, triangular, and circular arrays provided the most stable and accurate dispersion imaging, with mismatch errors below 0.5%, and their inverted S-wave velocity structures closely matched theoretical models. Field application on the Dongzhou Peninsula in Fujian Province further demonstrated the effectiveness of the proposed method. The inverted shear-wave (S-wave) velocity profiles from three survey lines successfully delineated the original and reclaimed coastlines, showing strong agreement with known geological boundaries. These results demonstrate that the proposed approach provides a non-invasive, cost-effective, and high-resolution tool for evaluating geological conditions in coastal engineering settings. It shows substantial potential for broader application in coastal site characterization and marine engineering development.
Institutions
- China University of Geosciences (CN)
- PowerChina (China) (CN)
- Guizhou Electric Power Design and Research Institute (CN)
Publication Details
- Journal
- Journal of Marine Science and Engineering
- Published
- 2025-12-12
- DOI
- https://doi.org/10.3390/jmse13122364
- Primary Topic
- Seismic Waves and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China University of Geosciences
- National Science and Technology Major Project