Integrating river channel flood diversion strategies into dynamic urban flood risk assessment and multi-objective optimization of emergency shelters DOI
Kunlun Chen, Haitao Wang,

Hao Jia

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(3)

Published: March 1, 2025

With the continuous advancement of urbanization, risk urban flooding is increasing, making establishment emergency shelters crucial for mitigating flood disasters. This study uses Jinshui River diversion pipeline project in Zhengzhou as a case to systematically investigate effect measures on reducing risks and optimize site selection based assessments. First, InfoWorks integrated catchment management model used simulate under different rainfall scenarios. Second, integrating multi-source data, technique order preference by similarity an ideal solution with four weighting methods applied identify high-risk areas. Finally, results assessment are weights multi-objective model, which solved particle swarm optimization algorithm determine optimal shelter locations. The show that: (1) In 10, 50, 200-years scenarios, significantly reduce depth inundated areas; however, limited extreme “7·20” event. (2) High-risk areas primarily concentrated highly urbanized northeast, although alleviates risk, overall remains high events. (3) Under scenario after diversion, 13 locations identified, average evacuation distance 471.9 meters, covering 97.3% population area. These findings provide scientific evidence management.

Language: Английский

A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches DOI Creative Commons
Tania Islam, Ethiopia Bisrat Zeleke,

Mahmud Afroz

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(3), P. 524 - 524

Published: Feb. 3, 2025

Climate change has led to an increase in global temperature and frequent intense precipitation, resulting a rise severe urban flooding worldwide. This growing threat is exacerbated by rapid urbanization, impervious surface expansion, overwhelmed drainage systems, particularly regions. As becomes more catastrophic causes significant environmental property damage, there urgent need understand address flood susceptibility mitigate future damage. review aims evaluate remote sensing datasets key parameters influencing provide comprehensive overview of the causative factors utilized mapping. also highlights evolution traditional, data-driven, big data, GISs (geographic information systems), machine learning approaches discusses advantages limitations different mapping approaches. By evaluating challenges associated with current practices, this paper offers insights into directions for improving management strategies. Understanding identifying foundation developing effective resilient practices will be beneficial mitigating

Language: Английский

Citations

0
An approach for identifying key factors controlling variable source impervious area in heterogeneous urban landscapes under the influence of overland flow path DOI
Hong Zhou,

Qinghua Luan,

Cheng Gao

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: 655, P. 132915 - 132915

Published: Feb. 23, 2025

Language: Английский

Citations

0
Integrating river channel flood diversion strategies into dynamic urban flood risk assessment and multi-objective optimization of emergency shelters DOI
Kunlun Chen, Haitao Wang,

Hao Jia

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(3)

Published: March 1, 2025

With the continuous advancement of urbanization, risk urban flooding is increasing, making establishment emergency shelters crucial for mitigating flood disasters. This study uses Jinshui River diversion pipeline project in Zhengzhou as a case to systematically investigate effect measures on reducing risks and optimize site selection based assessments. First, InfoWorks integrated catchment management model used simulate under different rainfall scenarios. Second, integrating multi-source data, technique order preference by similarity an ideal solution with four weighting methods applied identify high-risk areas. Finally, results assessment are weights multi-objective model, which solved particle swarm optimization algorithm determine optimal shelter locations. The show that: (1) In 10, 50, 200-years scenarios, significantly reduce depth inundated areas; however, limited extreme “7·20” event. (2) High-risk areas primarily concentrated highly urbanized northeast, although alleviates risk, overall remains high events. (3) Under scenario after diversion, 13 locations identified, average evacuation distance 471.9 meters, covering 97.3% population area. These findings provide scientific evidence management.

Language: Английский

Citations

0