Urban flooding simulation and flood risk assessment based on the InfoWorks ICM model: A case study of the urban inland rivers in Zhengzhou, China

Urban flooding intensifies with escalating urbanization. This study focuses on Xiong'er river as the study area and couples a 1D/2D urban flooding model using InfoWorks ICM (Integrated Catchment Modeling). Ten scenarios are set respectively with a rainfall return period of 5a 10a, 20a, 50a, and...

Full description

Saved in:
Bibliographic Details
Published in:Water science and technology 2024-08, Vol.90 (4), p.1338-1358
Main Authors: Wei, Huaibin, Wu, Heng, Zhang, Liyuan, Liu, Jing
Format: Article
Language:English
Subjects:
Canals
Catchment area
Catchment models
China
Cities
Computer Simulation
Design
Disasters
Drainage
Environmental risk
Flooding
Floods
Geographic information systems
Hydrology
Models, Theoretical
Overflow
Precipitation
Rain
Rainfall
Remote sensing
Risk assessment
Risk Assessment - methods
Rivers
Runoff
Simulation
Software
Stormwater management
Urban areas
Urbanization
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Urban flooding intensifies with escalating urbanization. This study focuses on Xiong'er river as the study area and couples a 1D/2D urban flooding model using InfoWorks ICM (Integrated Catchment Modeling). Ten scenarios are set respectively with a rainfall return period of 5a 10a, 20a, 50a, and 100a, alongside rainfall durations of 1 and 24 h. Subsequently, the H-V (hazard-vulnerability) method was applied to evaluate urban flooding risk. Three indicators were selected for each of hazard factors and vulnerability factors. The relative weight values of each indicator factor were calculated using the AHP method. The result shows that (1) flood depth, rate, and duration escalate with longer rainfall return periods, yet decrease as the duration of rainfall increases; (2) as the rainfall return period lengthens, the proportion of node overflow rises, whereas it diminishes with longer rainfall durations, leading to an overall overloaded state in the pipeline network; and (3) the distribution in the research area is mainly low-risk areas, with very few extremely high-risk. Medium to high-risk areas are mainly distributed on both sides of the river, in densely built and low-lying urban areas. This study demonstrates that the model can accurately simulate urban flooding and provide insights for flood analyses in comparable regions.
ISSN:0273-1223
1996-9732
DOI:10.2166/wst.2024.280