A Comprehensive Analysis of Urban Flooding Under Different Rainfall Patterns: A Full-Process Perspective in Haining, China

Urban flooding, driven by extreme rainfall events and urbanization, poses substantial risks to urban safety and infrastructure. This study employed a neighborhood-scale InfoWorks ICM model to analyze the full-process impacts of urban flooding under six rainfall return periods in Haining, China. The results reveal distinct non-linear responses from the 3-year to 50-year rainfall return period: (1) the surface runoff volume increases by 64.3%, with peak timing advancing by about one minute; (2) the overflow nodes rise from 37.35% to 63.24%, with durations over 30 min increasing by 78.6%; (3) the inundation areas expand by 164.9%, with maximum depths increasing by 0.31 m, showing significant regional disparities; and (4) high-risk zones, such as Haining People’s Square and Railway Station, require targeted interventions due to severe surface overflow and inundation. This comprehensive analysis emphasizes the need for tailored and phased flood prevention measures that address each stage of urban flooding. It provides a strong framework to guide urban planning and enhance resilience against rainfall-induced urban flooding.

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Publication Details

Journal
Atmosphere
Published
2025-03-06
DOI
https://doi.org/10.3390/atmos16030305
Citations
3
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
3.32

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article

A Comprehensive Analysis of Urban Flooding Under Different Rainfall Patterns: A Full-Process Perspective in Haining, China

Yuzhou Zhang, Luoyang Wang, Yao Li, Tangao Hu et al.
3 citations
Atmosphere
Flood Risk Assessment and Management
3.32
article

A Comprehensive Analysis of Urban Flooding Under Different Rainfall Patterns: A Full-Process Perspective in Haining, China

Yuzhou Zhang, Luoyang Wang, Yao Li, Tangao Hu, Pin Wang, Qing Zhang
article en
3 citations

Abstract

Urban flooding, driven by extreme rainfall events and urbanization, poses substantial risks to urban safety and infrastructure. This study employed a neighborhood-scale InfoWorks ICM model to analyze the full-process impacts of urban flooding under six rainfall return periods in Haining, China. The results reveal distinct non-linear responses from the 3-year to 50-year rainfall return period: (1) the surface runoff volume increases by 64.3%, with peak timing advancing by about one minute; (2) the overflow nodes rise from 37.35% to 63.24%, with durations over 30 min increasing by 78.6%; (3) the inundation areas expand by 164.9%, with maximum depths increasing by 0.31 m, showing significant regional disparities; and (4) high-risk zones, such as Haining People’s Square and Railway Station, require targeted interventions due to severe surface overflow and inundation. This comprehensive analysis emphasizes the need for tailored and phased flood prevention measures that address each stage of urban flooding. It provides a strong framework to guide urban planning and enhance resilience against rainfall-induced urban flooding.

AtmosphereVol. 16(3)
Hangzhou Normal University (CN), Zhejiang Meteorological Bureau (CN), Zhejiang University of Water Resource and Electric Power (CN), University of Twente (NL)
China Scholarship Council
Openalex Percentile: Top 10%
Flood Risk Assessment and Management
3.32
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A Comprehensive Analysis of Urban Flooding Under Different Rainfall Patterns: A Full-Process Perspective in Haining, China — Yuzhou Zhang, Luoyang Wang, et al. · Atmosphere (2025) | TGRS Research Map | TGRS