Sustainable Risk Assessment: Hazard Monitoring, Forecasting, and Mitigation
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Hazards and Sustainability".
Deadline for manuscript submissions: 14 March 2026 | Viewed by 486
Special Issue Editors
Interests: ecosystem-based coastal disaster mitigation (tsunami and storm)
Interests: tsunami and storm forces on structures
Interests: environmental coastal hydraulics (ocean environment, coastal protection, coastal risk disaster and mitigation)
Special Issue Information
Dear Colleagues,
Natural disasters threaten both human societies and economic development. Over recent decades, coastal hazards have become more of a concern, because sea-level rise due to global warming worsens the possibility of greater impacts from damaging oceanic events such as tsunamis, tropical cyclones, and other types of storms. Sustainable risk assessment of high-energy wave impacts is therefore of importance for coastal areas occupied by dense populations and industries. Natural structures such as coral reefs, coastal dunes, and coastal vegetation are receiving more attention in terms of their ability to reduce the impacts of high-energy wave events, owing to their environmental sustainability and lower capital investment costs (ecosystem-based disaster risk reduction). Hazard monitoring through past events and forecasting future risk potential using various methods such as physical modeling, numerical and statistical analysis, and integration of AI are indispensable in modern sustainable risk assessments. The broad aim of this Special Issue is to compile developments in Sustainable Risk Assessment: Hazard Monitoring, Forecasting, and Mitigation related to high-energy wave/flood events. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Ecosystem-based coastal disaster reduction: application of coastal forest, dunes, coral reefs, or hybrid (natural and artificial) to mitigate marine floods (tsunami, storms, and other high wave events);
- Integration of Artificial Intelligence (AI) in coastal disaster mitigation;
- Statistics and big data handling in coastal risk assessment;
- Application of numerical and physical modeling on coastal disaster magnitude and impact;
- Development of innovation strategies (policies and frameworks) in sustainable risk assessment.
We look forward to receiving your contributions.
Dr. N.A.K. Nandasena
Dr. Cheng Chen
Dr. Hendra Achiari
Dr. Zhonghou Xu
Guest Editors
Manuscript Submission Information
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Keywords
- tsunami
- storm
- numerical modeling
- experiments
- field observation
- ecosystems
- prediction
- mitigation
- assessment
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