Project Background
The Guangdong-Hong Kong-Macao Greater Bay Area, comprising nine cities in Guangdong Province and the two special administrative regions of Hong Kong and Macao, faces significant seismic geological hazards. Understanding the shallow subsurface structure is crucial for:
- Urban engineering construction
- Disaster prevention and mitigation
- Sustainable development of underground spaces
Project Overview
Methodology
This study applied the spatial cross-correlation method to:
- Derive dispersion curves of Rayleigh waves from microseismic signals at observation points.
- Assess shallow velocity structures using short-period dense seismic arrays.
Equipment Used
- 1385 SmartSolo Seismic Node Instruments
Key Findings
- Effective Data Collection: The spatial cross-correlation method reliably captured stable shallow velocity structures.
- Detailed Insights: Short-period dense seismic array technology provided a cost-effective and eco-friendly approach to investigating subsurface features.
- Urban Relevance: The methodology offers valuable solutions for detailed subsurface mapping in high-density metropolitan areas.
Applications and Significance
This research has broader implications, including:
- Enhanced Disaster Resilience: Accurate geological mapping aids in proactive risk management.
- Support for Urban Planning: Provides foundational data for sustainable construction and development projects.
- Scalability: The approach can be adapted to other metropolitan areas facing similar geological challenges.
Conclusion
The successful integration of SmartSolo seismic nodes and the spatial cross-correlation method showcases a significant leap in urban seismic research. By delivering precise subsurface data in a cost-efficient manner, this study sets a benchmark for environmentally sustainable seismic investigations in urban regions, particularly in the dynamic Guangdong-Hong Kong-Macao Greater Bay Area.
