CLC number: TV122
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2018-10-18
Cited: 0
Clicked: 3726
Jun-qiang Xia, Peng Guo, Mei-rong Zhou, Roger A. Falconer, Zeng-hui Wang, Qian Chen. Modelling of flood risks to people and property in a flood diversion zone[J]. Journal of Zhejiang University Science A, 2018, 19(11): 864-877.
@article{title="Modelling of flood risks to people and property in a flood diversion zone",
author="Jun-qiang Xia, Peng Guo, Mei-rong Zhou, Roger A. Falconer, Zeng-hui Wang, Qian Chen",
journal="Journal of Zhejiang University Science A",
volume="19",
number="11",
pages="864-877",
year="2018",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1800124"
}
%0 Journal Article
%T Modelling of flood risks to people and property in a flood diversion zone
%A Jun-qiang Xia
%A Peng Guo
%A Mei-rong Zhou
%A Roger A. Falconer
%A Zeng-hui Wang
%A Qian Chen
%J Journal of Zhejiang University SCIENCE A
%V 19
%N 11
%P 864-877
%@ 1673-565X
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1800124
TY - JOUR
T1 - Modelling of flood risks to people and property in a flood diversion zone
A1 - Jun-qiang Xia
A1 - Peng Guo
A1 - Mei-rong Zhou
A1 - Roger A. Falconer
A1 - Zeng-hui Wang
A1 - Qian Chen
J0 - Journal of Zhejiang University Science A
VL - 19
IS - 11
SP - 864
EP - 877
%@ 1673-565X
Y1 - 2018
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1800124
Abstract: Extreme floods often occur in the middle Yangtze River. The jingjiang flood diversion zone needs to be operated during these events to protect the safety of the levees along the Jingjiang Reach. Therefore, it is important to be able to predict the potential flood risks to people and property in such an area for the purpose of flood management. In this study, an integrated numerical model for estimating the flood risks in a flood diversion zone is proposed, including a module for predicting the 2D hydrodynamic processes of flood inundation in a study area with complex topography, and a special module for estimating the flood risks to people (children and adults) and property (vehicles, buildings, and crops) using newly developed safety criteria. The proposed model was used to predict the flood inundation process and variation in hazard degrees of people and property, based on a hypothetical discharge hydrograph during the operation of the jingjiang flood diversion zone. The model predictions show high flood loss rates for various flooded objects such as people, vehicles, buildings, and crops, with a mean loss rate for these subjects of 75% after 140 h. This suggests that the operation of a flood diversion zone should be cautiously considered, as it would likely result in a huge loss of people and property. Furthermore, an investigation was conducted into the effects of different roughness coefficients and people stability criteria on the model predictions. The results show that variable Manning’s roughness coefficients need to be used in the hydrodynamic module according to different underlying surface conditions, and a mechanics-based criterion for the stability of people in floodwaters should be adopted to assess the potential hazard degrees.
This paper presented a 2D numerical model for the simulation of flood propagation processes and the assessment of associated potential damages to people and properties. The numerical model was validated with experimental data and was applied to simulate the flood risks in the Jingjiang flood diversion zone along the Middle Yangtze River. Sensitivity analyses were also made on the Manning's roughness coefficients and stability criteria of human body. The paper is well-structured and easy-understanding. The results are valuable for the flood management in the Middle Yangtze River.
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