Joint Impact of Rainfall and River Water Level on Urban Flooding: A Case Study of Wuhan City

被引：0
|
作者：
Wang X. [1 ]
Xia J. [1 ]
Zhou M. [1 ]
Li Q. [1 ]
Dong B. [1 ]
机构：
[1] State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan
来源：
Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering | 2023年 / 31卷 / 05期
关键词：
Copula; joint distribution; rainfall; river water level; SWMM model; urban flooding;
D O I：
10.16058/j.issn.1005-0930.2023.05.001
中图分类号：
学科分类号：
摘要：
Rainfall and river water level are the main factors to affect urban flood disaster.In order to assess flood risk better,the joint impact of rainfall and river water level on urban flooding should be considered. Taking the Wuhan City as a study area, the Copula functions were used to quantitatively evaluate the joint distribution characteristics of rainfall and river water level during different periods. The SWMM model for the Qingshan district of Wuhan City has been validated using the typical rainfall processes in 2016, and the validated model was used to simulate the effects of different rainfall and river water level processes on urban flooding. The results show that the waterlogging rate increased by 0. 5% ~ 2. 2%, with the river water level increasing from 21.7m to 28.0m.With the rainfall return period increasing from 5-yr to 100-yr, the waterlogging rate increased by 28.5% ~ 29.1%,and the reduction value of the waterlogging rate causing by the pump operation decreased from 20.6% ~ 21.0% to 4.1% ~ 4.9%.Apparently, urban inundation was mainly caused by heavy rainfall,and the increasing river water level could lead to more significant adverse effects on the regional waterlogging. Meanwhile, the effect of pump station on drainage became smaller with an increase in rainfall return period. The joint risk probability of rainfall in Wuhan and water level at Hankou of the Middle Yangtze River during flood seasons was greater than that of a single factor, implying that ignoring the correlation between rainfall and river water level could lead to the underestimation of flood risk. The comparison of the joint risk probability and encounter risk probability of heavy rainfall and high-water level during different periods of 2010 ~ 2020 and 2000 ~ 2009 show increasing trends,with the increasing rate more than 70%, indicating that the extreme events of intense rainfall and higher water level events have occurred frequently in recent years. Therefore, the results can provide technical reference for flood control and drainage planning and design in the cities along the Middle Yangtze River. © 2023 Editorial Board of Journal of Basic Science and. All rights reserved.
引用
收藏
页码：1061 / 1074
页数：13
相关论文
共 26 条
  • [1] Xu Zongxue, Chen Hao, Ren Meifang, Et al., Progress on disaster mechanism and risk assessment of urban flood / waterlogging disasters in China, Advances in Water Science, 31, 5, pp. 713-724, (2020)
  • [2] Wang X J, Xia J Q, Dong B L, Et al., Spatiotemporal distribution of flood disasters in Asia and influencing factors in 1980~2019[J], Natural Hazards, 108, 3, pp. 2721-2738, (2021)
  • [3] Wang Hao, Zhang Yongxiang, Tang Ying, Et al., Optimization of pump start-stops in rainwater pump station, Journal of Harbin Institute of Technology, 49, 8, pp. 98-103, (2017)
  • [4] Yang S N, Chang L C, Chang F G., Ai-based design of urban stormwater detention facilities accounting for carryover storage[J], Journal of Hydrology, 575, pp. 1111-1122, (2019)
  • [5] Liu Jingsen, Cheng Jilin, Gong Yi, Scheduling optimization of drainage pumping stations in urbanization polders, Transactions of the Chinese Society of Agricultural Engineering, 30, 17, pp. 141-148, (2014)
  • [6] Lu Shaowei, Zhu Yonghui, Wei Guoyuan, Et al., Numerical modeling for draining waterlogging, Journal of Yangtze River Scientific Research Institute, 26, 7, pp. 1-5, (2009)
  • [7] Luo Wenbing, Wang Xiugui, Shi Deliang, Et al., Influence of outer river flood level on drainage discharge in plain lake areas, Transactions of the Chinese Society of Agricultural Engineering, 32, 15, pp. 126-132, (2016)
  • [8] Shang Xiaosan, Wang Dong, Multi-dimensional joint flood frequency analysis considering the uncertainty of historical flood events, Advances in Earth Science, 37, 4, pp. 407-416, (2022)
  • [9] Sadegh M, Moftakhari H, Gupta H V, Et al., Multihazard scenarios for analysis of compound extreme events [J], Geophysical Research Letters, 45, 11, pp. 5470-5480, (2018)
  • [10] Liu Zengmei, Chen Zishen, Risk study of the bivariate encounter of interzone rainstorm and flood level of the outer river, Advances in Water Science, 20, 5, pp. 619-625, (2009)
123