Kehan Zhang , Chao Mei , Jiahong Liu , Jia Wang , Tianxu Song , Hongyuan Shi , Anqi Zhang , Xiaojie Cao
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引用次数: 0
Abstract
Under the backdrop of frequent extreme climate events, urban lifeline infrastructures are becoming highly interdependent, and the propagation path of the disaster chain is becoming increasingly complex. To reveal the spatiotemporal evolution of lifeline infrastructure disaster chain network (LFSCN) under extreme rainfall events, a coupled urban flood numerical model integrating the Storm Water Management Model (SWMM)—a widely used hydrological-hydraulic simulation tool for urban drainage—and TELEMAC-2D, a two-dimensional hydrodynamic model for simulating surface flow, was developed. Based on the spatial relationships between 20 types of lifeline infrastructure and disaster-bearing bodies, a weighted and directed network was constructed, with 0.5 m water depth defined as the threshold for cascading failures. The results show that under extreme rainfall events, the LFSCN undergoes a staged yet nonlinear degradation process, characterized by a transition from localized disruptions to system-wide cascading failures. Among various infrastructures, the influence of the power supply was relatively prominent, and its failure was more likely to cause the degradation of multi-system linkage. Upon reaching stabilization, the disaster chain network damage index (DCNDI) under 50 yr, 100 yr, 200 yr, and ZZ 720 rainfall events were 0.20, 0.37, 0.45, and 0.81, respectively. The proposed integrated framework, combining flood simulation with network analysis, not only quantifies network damage but also captures cascading propagation processes, providing scientific support for identifying critical nodes, informing infrastructure optimization, and strengthening urban resilience and emergency preparedness.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;