Novel Approaches for Earthquake and Land Subsidence Prediction
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: 20 August 2024 | Viewed by 261
Special Issue Editor
Special Issue Information
Dear Colleagues,
Earthquakes represent one of the most devastating and destructive dangers to the built environment. They are responsible for damage to people and buildings, and have secondary effects on the environment, such as ground settlement, lateral ground displacement, liquefaction, landslides, rock falls, tsunamis, floods, fires, and falling debris, causing huge losses. One of the largest earthquake-induced phenomena is land subsidence, consisting of the lowering of the ground level because of the densification of sand and gravel layers due to shaking and liquefaction.
Due to the significant economic and social impacts of such phenomena, there is an increasing need to mitigate their effects through, e.g., passive methods enabling prediction and identification based on continuous monitoring.
AI-based geospatial data analysis, advanced geospatial sensing, processing, imaging technologies, and remote sensing technologies such as laser radar, synthetic aperture radar (SAR), radar interferometry (InSAR) and GPS can detect the changes in the Earth with high accuracy; they are more widely used for land subsidence and earthquake studies, including long-term risk assessment and monitoring, prediction and early warning.
This Special Issue aims to collect contributions exploring advances in earthquake prediction and land subsidence, including, but not limited to, the following topics:
- Land subsidence;
- Rock mechanics;
- Monitoring;
- Geodesy;
- Remote sensing;
- GIS;
- Earthquake prediction;
- Earthquake hazard monitoring;
- Earthquake forecasting;
- Earthquake risk analysis;
- Geospatial data analysis;
- Hazard assessment;
- Earthquake early warning.
Dr. Michele Placido Antonio Gatto
Guest Editor
Manuscript Submission Information
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