Multidimensional Urban Waterlogging Risk Assessment Based on a Refined Inundation Model DOI Open Access

Yang Hai-yan,

T. Jiang,

Zhe Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 17(1), P. 135 - 135

Published: Dec. 27, 2024

To enhance the scientific and accurate assessment methods for urban waterlogging risk in City B to promote sustainable development, this paper conducts a detailed evaluation of from three dimensions: pedestrian safety, road traffic, waterlogging-prone areas. After considering existing monitoring technologies constructed model, identifies standing water depth, duration, velocity as key indicators utilizes scenario simulation evaluate across these dimensions. Additionally, employs boundary conditions 2-h short-duration rainfall with 5-year return period 24-h long-duration 50-year assessment. The results indicate that, under both short conditions, low-risk areas represent largest proportion areas, reaching 6.36% 10.83% total area, respectively. In traffic assessment, proportions severely congested roads short- are 27.06% 57.15%, high-risk account 0.64% 1.42%

Language: Английский

Risk Assessment of Campus Waterlogging and Evacuation Route Planning DOI
Feng Jing, Yu Tian,

Zheng Dao Xie

et al.

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0

Multidimensional Urban Waterlogging Risk Assessment Based on a Refined Inundation Model DOI Open Access

Yang Hai-yan,

T. Jiang,

Zhe Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 17(1), P. 135 - 135

Published: Dec. 27, 2024

To enhance the scientific and accurate assessment methods for urban waterlogging risk in City B to promote sustainable development, this paper conducts a detailed evaluation of from three dimensions: pedestrian safety, road traffic, waterlogging-prone areas. After considering existing monitoring technologies constructed model, identifies standing water depth, duration, velocity as key indicators utilizes scenario simulation evaluate across these dimensions. Additionally, employs boundary conditions 2-h short-duration rainfall with 5-year return period 24-h long-duration 50-year assessment. The results indicate that, under both short conditions, low-risk areas represent largest proportion areas, reaching 6.36% 10.83% total area, respectively. In traffic assessment, proportions severely congested roads short- are 27.06% 57.15%, high-risk account 0.64% 1.42%

Language: Английский

Citations

0