Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ CardiffĀ 
WelshClear Cookie - decide language by browser settings

Modeling the high-resolution dynamic exposure to flooding in a city region

Zhu, Xuehong, Dai, Qiang, Han, Dawei, Zhuo, Lu, Zhu, Shaonan and Zhang, Shuliang 2019. Modeling the high-resolution dynamic exposure to flooding in a city region. Hydrology and Earth System Sciences 23 (8) , pp. 3353-3372. 10.5194/hess-23-3353-2019

[thumbnail of hess-23-3353-2019.pdf] PDF - Published Version
Available under License Creative Commons Attribution.

Download (10MB)

Abstract

Urban flooding exposure is generally investigated with the assumption of stationary disasters and disaster-hit bodies during an event, and thus it cannot satisfy the increasingly elaborate modeling and management of urban floods. In this study, a comprehensive method was proposed to simulate dynamic exposure to urban flooding considering residents' travel behavior. First, a flood simulation was conducted using the LISFLOOD-FP model to predict the spatiotemporal distribution of flooding. Second, an agent-based model was used to simulate residents' movements during the urban flooding period. Finally, to study the evolution and patterns of urban flooding exposure, the exposure of population, roads, and buildings to urban flooding was simulated using Lishui, China, as a case study. The results showed that water depth was the major factor affecting total urban exposure in Lishui. Urban exposure to fluvial flooding was concentrated along the river, while exposure to pluvial flooding was dispersed throughout the area (independent from the river). Additionally, the population distribution on weekends was more variable than on weekdays and was more sensitive to floods. In addition, residents' response behavior (based on their subjective consciousness) may result in increased overall exposure. This study presents the first fully formulated method for dynamic urban flood exposure simulation at a high spatiotemporal resolution. The quantitative results of this study can provide fundamental information for urban flood disaster vulnerability assessment, socioeconomic loss assessment, urban disaster risk management, and emergency response plan establishment.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Earth and Environmental Sciences
Additional Information: This work is distributed under the Creative Commons Attribution 4.0 License.
Publisher: Copernicus Publications
ISSN: 1607-7938
Date of First Compliant Deposit: 26 October 2022
Date of Acceptance: 23 July 2019
Last Modified: 19 May 2023 16:26
URI: https://orca.cardiff.ac.uk/id/eprint/153246

Citation Data

Cited 11 times in Scopus. View in Scopus. Powered By ScopusĀ® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics