Year
Month
(Peer-Reviewed) Urban Stormwater Modeling with Local Inertial Approximation Form of Shallow Water Equations: A Comparative Study
Weiqi Wang 王玮琦 ¹, Wenjie Chen 陈文杰 ¹, Guoru Huang 黄国如 ¹ ² ³
¹ School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, 510640, China
中国 广州 华南理工大学土木与交通学院
² State Key Laboratory of Subtropical Building Science, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, 510640, China
中国 广州 华南理工大学土木与交通学院 亚热带建筑科学国家重点实验室
³ Guangdong Engineering Technology Research Center of Safety and Greenization for Water Conservancy Project, Guangzhou, 510640, China
中国 广州 广东省水运工程设计与绿色施工工程技术研究中心
Abstract

This study focused on the performance and limitations of the local inertial approximation form model (LIM) of the shallow water equations (SWEs) when applied in urban flood modeling. A numerical scheme of the LIM equations was created using finite volume method with a first-order spatiotemporal Roe Riemann solver. A simplified urban stormwater model (SUSM) considering surface and underground dual drainage system was constructed based on LIM and the US Environmental Protection Agency Storm Water Management Model.

Moreover, a complete urban stormwater model (USM) based on the SWEs with the same solution algorithm was used as the evaluation benchmark. Numerical results of the SUSM and USM in a highly urbanized area under four rainfall return periods were analyzed and compared.

The results reveal that the performance of the SUSM is highly consistent with that of the USM but with an improvement in computational efficiency of approximately 140%. In terms of the accuracy of the model, the SUSM slightly underestimates the water depth and velocity and is less accurate when dealing with supercritical flow in urban stormwater flood modeling. Overall, the SUSM can produce comparable results to USM with higher computational efficiency, which provides a simplified and alternative method for urban flood modeling.
Urban Stormwater Modeling with Local Inertial Approximation Form of Shallow Water Equations: A Comparative Study_1
Urban Stormwater Modeling with Local Inertial Approximation Form of Shallow Water Equations: A Comparative Study_2
Urban Stormwater Modeling with Local Inertial Approximation Form of Shallow Water Equations: A Comparative Study_3
Urban Stormwater Modeling with Local Inertial Approximation Form of Shallow Water Equations: A Comparative Study_4
  • Integrated photonic synapses, neurons, memristors, and neural networks for photonic neuromorphic computing
  • Shufei Han, Weihong Shen, Min Gu, Qiming Zhang
  • Opto-Electronic Technology
  • 2025-12-25
  • Photoacoustic spectroscopy and light-induced thermoelastic spectroscopy based on inverted-triangular lithium niobate tuning fork
  • Junjie Mu, Guowei Han, Runqiu Wang, Shunda Qiao, Ying He Yufei Ma
  • Opto-Electronic Science
  • 2025-12-25
  • Thin-film lithium niobate-based detector: recent advances and perspectives
  • Xiaoli Sun, Yuechen Jia, Feng Chen
  • Opto-Electronic Science
  • 2025-12-25
  • In-situ and ex-situ twisted bilayer liquid crystal computing platform for reconfigurable image processing
  • Kang Zeng, Yougang Ke, Zhangming Hong, Linzhou Zeng, Xinxing Zhou
  • Opto-Electronic Advances
  • 2025-12-25
  • Highly textured single-crystal-like perovskite films for large-area, high-performance photodiodes
  • Runkai Liu, Feng Li, Rongkun Zheng
  • Opto-Electronic Advances
  • 2025-12-25
  • Robust performance of PTQ10:DTY6 in halogen-free photovoltaics across deposition techniques and configurations for industrial scale-up
  • Atiq Ur Rahman, Tanner M. Melody, Sydney Pfleiger, Acacia Patterson, Andrea Reale, Brian A. Collins
  • Opto-Electronic Advances
  • 2025-12-25
  • Surpassing the diffraction limit in long-range laser engineering via cross-scale vectorial optical field manipulation: perspectives and outlooks
  • Yinghui Guo, Mingbo Pu, Yang Li, Mingfeng Xu, Xiangang Luo
  • Opto-Electronic Advances
  • 2025-12-25
  • Spatiotemporal multiplexed photonic reservoir computing: parallel prediction for the high-dimensional dynamics of complex semiconductor laser network
  • Tong Yang, Li-Yue Zhang, Song-Sui Li, Wei Pan, Xi-Hua Zou, Lian-Shan Yan
  • Opto-Electronic Advances
  • 2025-12-25
  • Filament based ionizing radiation sensing
  • Pengfei Qi, Haiyi Liu, Jiewei Guo, Nan Zhang, Lu Sun, Shishi Tao, Binpeng Shang, Lie Lin Weiwei Liu
  • Opto-Electronic Advances
  • 2025-12-25
  • Separation and identification of mixed signal for distributed acoustic sensor using deep learning
  • Huaxin Gu, Jingming Zhang, Xingwei Chen, Feihong Yu, Deyu Xu, Shuaiqi Liu, Weihao Lin, Xiaobing Shi, Zixing Huang, Xiongji Yang, Qingchang Hu, Liyang Shao
  • Opto-Electronic Advances
  • 2025-11-25
  • Scale-invariant 3D face recognition using computer-generated holograms and the Mellin transform
  • Yongwei Yao, Yaping Zhang, Huanrong He, Xianfeng David Gu, Daping Chu, Ting-Chung Poon
  • Opto-Electronic Advances
  • 2025-11-25
  • Partially coherent optical chip enables physical-layer public-key encryption
  • Bo Wu, Wenkai Zhang, Hailong Zhou, Jianji Dong, Yilun Wang, Xinliang Zhang
  • Opto-Electronic Advances
  • 2025-11-25



  • Reprocessing Twelve-Years of Fengyun-3 Microwave Humidity Sounder Historical Data                                The influences of environmental factors on the air-sea coupling coefficient
    About
    |
    Contact
    |
    Copyright © PubCard