Smart Flood Resilience Integrating AI and Hydraulic and Horologic Modeling
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Hazards and Sustainability".
Deadline for manuscript submissions: 15 May 2024 | Viewed by 1661
Special Issue Editors
Interests: urban resilience; data science; resilient infrastructure; network systems; data analytics
Interests: intelligent computing applied to civil and construction engineering and management; artificial intelligence for modeling AEC systems
Interests: drones and sensors; 2D image processing; 3D point cloud processing; infrared data analysis; high-performance computing; cloud computing; data modeling; image-based diagnostics
Special Issue Information
Dear Colleagues,
Recent urban floods, such as the 2021 Henan floods and Hurricane Harvey in 2018, have tremendously impacted society by causing breakdowns of supply chains, failure of civil infrastructures, and damage to homeowner properties. Around the world, various cities have already demonstrated how a proactive, coordinated response to flood events yields immediate results in terms of recovering from shocks and lays the foundations for long-term resilience. Smart resilience intersects with urban resilience, AI, and big data techniques. Urban resilience denotes the ability of an urban system to maintain the functionality needed for people to reduce social, economic, physical, and well-being impacts due to floods and hurricanes. Traditional hydraulic and horologic models are widely used for flood risk mapping and impact assessment with hydraulic features, and topographic and precipitation data. Meanwhile, advanced sensors and monitoring devices have generated large volumes of community-scale big data, such as human mobility, social network communications, transactions, insurance claims, and traffic data, which provide more opportunities to investigate urban smart resilience and strategies to increase it through AI and machine learning technologies. Therefore, smart flood resilience in this context will integrate AI and traditional hydrologic/hydraulic modelling approaches for enhanced flood resilience. Given that, this Special Issue seeks submissions under the theme of smart flood resilience.
Potential topics include, but are not limited to:
- Urban AI and big data analytics for situational awareness and crisis management in floods/hurricanes;
- Network systems modeling and analysis for social and infrastructure networks;
- Flood risk modelling and impact assessment integrating hydrologic/hydraulic modeling and AI approaches;
- Flood risk management, mitigation, and adaptation;
- Spatiotemporal analysis of social and built environmental resilience;
- Equity issues from smart flood resilience (e.g., identification of vulnerable regions, access to critical facilities, and guidelines for homeowner insurance);
- Smart and sustainable urban food systems in the context of floods and hurricanes.
Dr. Faxi Yuan
Prof. Dr. Ian Flood
Dr. Kaiwen Chen
Dr. Yuanxin Zhang
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- smart resilience
- urban resilience
- urban AI
- hydrologic/hydraulic modelling
- resilient infrastructure
- network systems
