Applications of Advanced Technologies in Geological Hazards
- Submission status
- Open
- Submission deadline
Geological hazards (GHs), such as seismic hazards, landslides and debris flows, and volcanic hazards, not only pose a great threat to human life and property, but also have a profound adverse impact on economic development and social welfare, which has been drawing particular attention to scientists and engineers around the world. In recent years, with the soaring development of advanced technologies, e.g., artificial intelligence (AI), machine learning (ML), and cloud computing, big data analysis becomes a hotspot for exploring GHs. It broadens the horizon of conventional methods as well as provides new insights and tools for tackling this global issue. Through scrutinizing massive geological data and information, AI/ML enables to facilitate a better understanding of the laws of GH occurrence, advancement of GH early warning system, and development of GH prevention and control measures in a more effective and efficient fashion.
This Collection aims to address the applications of advanced technologies in the field of GH research, including hazard identification, hazard assessment, risk evaluation, and prediction and early warning.
This Collection welcomes Original Research articles as well as Reviews, Perspectives, and Comments, which underlines the following topics, but not limited to:
- Rapid identification of GHs
- Development laws and characteristics of GHs
- Hazard assessment and risk evaluation
- Analysis and simulation of historical data of GHs
- Prediction and early warning of GHs
- Post-disaster recovery and reconstruction
Editors
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Chong Xu, PhD
National Institute of Natural Hazards, Beijing, China
The Collection will publish original research papers, and articles in various formats (full details on content types can be found here). Papers will be published in npj Natural Hazards as soon as they are accepted and then collected together and promoted on the Collection homepage. All Collections are associated with a call for papers and are managed by one or more of our Editorial Board Members and/or Guest Editor.
This Collection welcomes submissions from all authors – and not by invitation only – on the condition that the manuscripts fall within the scope of the Collection and of npj Natural Hazardss more generally. See our editorial process page for more details.
All submissions are subject to the same peer review process and editorial standards as regular npj Natural Hazards articles, including the journal’s policy on competing interests. The Guest Editor declares no competing interests with the submissions which they have handled through the peer review process. The peer review of any submissions for which the Guest Editor has competing interests is handled by another Editorial Board Member who has no competing interests. For more information, refer to our Collections guidelines.
This Collection is not supported by sponsorship.
