Flooding Prevention Strategies for Flood-Prone Cities Under Climate Change
A special issue of Urban Science (ISSN 2413-8851). This special issue belongs to the section "Urban Environment and Sustainability".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 876
Special Issue Editors
Interests: enhanced risk and resilience of complex disasters; hydrological remote sensing; digital and intelligent disaster risk prevention and control; infrastructure-based disaster prevention and mitigation
Special Issues, Collections and Topics in MDPI journals
Interests: hydrological remote sensing; deep learning–based remote sensing image processing; applications of remote sensing in water resources and environmental monitoring; digital twins and large-scale foundation models
Interests: water hazard risk analysis; watershed and urban runoff modeling
Interests: remote sensing; physical process-based modelling; machine learning; agent-based modelling; flood; landslide; soil moisture; precipitation; climate change
Special Issues, Collections and Topics in MDPI journals
Interests: spatiotemporal monitoring using remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Climate change is fundamentally reshaping hydrological cycles, leading to more frequent, intense, and unpredictable flooding events that threaten cities globally. Consequently, coastal, riverine, and rapidly urbanizing areas face escalating risks to infrastructure, economies, ecosystems, and human well-being. The increasing complexity of urban flood dynamics calls for a paradigm shift from reactive response to integrated and adaptive prevention strategies for flood-prone cities; therefore, this Special Issue aims to explore innovative methodologies and technologies that enhance flood resilience, and we seek contributions that advance both theoretical frameworks and practical applications in flood risk management in the face of climate uncertainty.
In this Special Issue, original research articles and reviews are welcome, and research areas may include, but are not limited to, the following themes:
(1) Climate-informed flood risk modeling and forecasting, including advances in predictive analytics, ensemble modeling under uncertainty, and the integration of artificial intelligence and remote sensing for early warning systems;
(2) Hybrid grey–green–blue infrastructure systems that combine traditional engineering solutions with ecological design to enhance adaptive capacity and multifunctional benefits;
(3) Nature-based solutions such as constructed wetlands, urban green corridors, and permeable landscapes that mitigate flood impacts;
(4) Infrastructure resilience focusing on the performance evaluation, retrofitting strategies, and lifecycle management of critical systems under extreme events;
(5) Urban planning and land use adaptation, including climate-responsive zoning, spatial optimization for risk reduction, and community-based resilience planning.
Dr. Ming Zhong
Dr. Xiaohong Yang
Prof. Dr. Shengmei Yang
Dr. Lu Zhuo
Prof. Dr. Song Ye
Guest Editors
Manuscript Submission Information
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Keywords
- flooding
- risk
- urban infrastructure
- resilience
- climate change
- remote sensing
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