Simulation analysis on chenbei watershed waterlogging based on ANUGA and SWMM coupling model

被引：0
|
作者：
Lei X. [1 ]
Wang Z. [1 ,2 ,3 ]
Zeng Z. [1 ,3 ]
Lai C. [1 ,2 ,3 ]
机构：
[1] State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou
[2] Pazhou Lab, Guangzhou
[3] School of Civil Engineering and Transportation, South China University of Technology, Guangzhou
来源：
Water Resources Protection | 2023年 / 39卷 / 03期
关键词：
ANUGA; Chebei watershed; Designed storm; SWMM; Urban waterlogging;
D O I：
10.3880/j.issn.1004-6933.2023.03.010
中图分类号：
学科分类号：
摘要：
In order to explore the law of urban waterlogging response to the designed position of rain peak during storm, taking a certain area in the Chebei watershed in Guangzhou as an example, a coupled model AGSWM was constructed based on ANUGA and SWMM model, and verified with measured rainfall and waterlogging data. The waterlogging simulation analysis was carried out for the designed storm scenarios with different rain peak positions. The results showed that the AGSWM has good simulation accuracy and is able to reflect the temporal and spatial evolution of Chenbei watershed waterlogging properly. Under the post-peak scenario during low return period and the mid-peak scenario during high return period, total amount of accumulated water, total inundated area, submerged area with severe waterlogging and maximum water depth of severe waterlogging-prone points are relatively large. Under the pre-peak scenario during the low return period and the post-peak scenario during the high return period, the delay of peak of water accumulation are relatively large. © 2023, Editorial Board of Water Resources Protection. All rights reserved.
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页码：82 / 90
页数：8
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共 36 条
  • [1] ZHANG W, VILLARINI G, VECCHI G A, Et al., Urbanization exacerbated the rainfall and flooding caused by hurricane Harvey in Houston[J], Nature, 563, 7731, pp. 384-388, (2018)
  • [2] SHAO Z F, FU H Y, LI D R, Et al., Remote sensing monitoring of multi-scale watersheds impermeability for urban hydrological evaluation [J], Remote Sensing of Environment, 232, (2019)
  • [3] HE L, LI S, CUI C H, Et al., Runoff control simulation and comprehensive benefit evaluation of low-impact development strategies in a typical cold climate area[J], Environmental Research, 206, (2022)
  • [4] GUO Y C, QUAN L H, SONG L L, Et al., Construction of rapid early warning and comprehensive analysis models for urban waterlogging based on AutoML and comparison of the other three machine learning algorithms[J], Journal of Hydrology, 605, (2022)
  • [5] MA Chao, ZHAO Kai, QI Wenchao, Et al., Formulation of flood mitigation scheme in coastal cities based on source tracking method[J], Water Resources Protection, 38, 1, pp. 91-99, (2022)
  • [6] ZHANG M L, XU M H, WANG Z L, Et al., Assessment of the vulnerability of road networks to urban waterlogging based on a coupled hydrodynamic model[J], Journal of Hydrology, 603, (2021)
  • [7] JIANG W W, YU J S., Impact of rainstorm patterns on the urban flood process superimposed by flash floods and urban waterlogging based on a coupled hydrologichydraulic model:a case study in a coastal mountainous river basin within Southeastern China [J], Natural Hazards, 112, 1, pp. 301-326, (2022)
  • [8] SHIN E, KIM H J, RHEE D S, Et al., Spatiotemporal flood risk assessment of underground space considering flood intensity and escape route[J], Natural Hazards, 109, 2, pp. 1539-1555, (2021)
  • [9] RAN Lingkun, LI Shuwen, ZHOU Yushu, Et al., Observational analysis of the dynamic,thermal,and water vapor characteristics of the “7·20” extreme rainstorm event in Henan Province, Chinese Journal of Atmospheric Sciences, 45, 6, pp. 1366-1383, (2021)
  • [10] SHI Wenru, LI Xin, ZENG Mingjian, Et al., Multi-model comparison and highresolution regional model forecast analysis for the “7·20” Zhengzhou severe heavy rain, Transactions of Atmospheric Sciences, 44, 5, pp. 688-702, (2021)
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