Earthquake Detection, Forecasting and Data Analysis
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: 20 December 2025 | Viewed by 548
Special Issue Editor
Interests: seismic hazard and risk assessment; earthquake magnitude scales; earthquake catalog; computational seismology; earthquake data analysis; programming languages
Special Issue Information
Dear Colleagues,
In the dynamic field of seismic science, earthquake detection, forecasting, and data analysis are crucial for planning and implementing protective measures, as well as for predicting, understanding, and mitigating the impacts of seismic events. The abundance of data, together with technological and research advancements over last few decades and coupled with significant strides in AI and machine learning, have collectively revolutionized approaches to understanding earthquakes. With this background, we are delighted to announce this Special Issue of Applied Sciences entitled "Earthquake Detection, Forecasting and Data Analysis".
We invite researchers, scholars, and experts to contribute their original research, case studies, and reviews to provide a comprehensive overview of the state of the art in detecting, forecasting, and analyzing earthquakes. This Special Issue will serve as a platform for sharing insights, methodologies, and experiences, fostering collaboration and knowledge exchange within the seismic exploration community. This Special Issue welcomes contributions that address, but are not limited to, the following keywords:
- Machine learning and AI applications in earthquake detection, forecasting, and data analysis.
- Probabilistic Seismic Hazard Assessment (PSHA).
- Earthquake early warning systems and their efficacy.
- Statistical methods in earthquake data interpretation.
- Seismicity studies.
- Earthquake size.
Dr. Ranjit Das
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning and AI applications in earthquake detection, forecasting, and data analysis
- probabilistic seismic hazard assessment (PSHA)
- earthquake early warning systems and their efficacy
- statistical methods in earthquake data interpretation
- seismicity studies
- earthquake size
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