Preprints
https://doi.org/10.5194/egusphere-2024-3780
https://doi.org/10.5194/egusphere-2024-3780
06 Jan 2025
 | 06 Jan 2025

Enhancing Urban Pluvial Flood Modelling through Graph Reconstruction of Incomplete Sewer Networks

Ruidong Li, Jiapei Liu, Ting Sun, Shao Jian, Fuqiang Tian, and Guangheng Ni

Abstract. This work presents an efficient graph reconstruction-based approach for generating physical sewer models from incomplete information, addressing the challenge of representing sewer drainage effect in urban pluvial flood simulation. The approach utilizes graph-based topological analysis and hydraulic design constraints to derive gravitational flow directions and nodal invert elevations in decentralized sewer networks with multiple outfalls. By incorporating linearized programming formulation to solve reconstruction problems, this approach can achieve high computational efficiency, enabling application to city-scale sewer networks with thousands of nodes and links. Tested in Yinchuan, China, the approach integrates with a 1D/2D coupled hydrologic-hydrodynamic model and accurately reproduces maximum inundation depths (R2 = 0.95) when the complete network layout and regulated facilities are available. Simplifications, such as adopting road-based layouts and omitting regulation facilities, can degrade simulation performance for extreme rainfall events compared to calibrated equifinal methods. However, design rainfall analysis demonstrates that the physical reconstruction approach can reliably outperform equifinal methods, achieving reduced variation and higher accuracy in simulating inundation areas. However, proper configuration of regulated facilities and network connectivity remains crucial, particularly for simulating local inundation during extreme rainfall. Thus, it is recommended to integrate the proposed algorithm with targeted field investigations to further improve urban pluvial flood simulation performance in data-scarce regions.

Competing interests: At least one of the (co-)authors is a member of the editorial board of the Hydrology and Earth System Sciences.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Ruidong Li, Jiapei Liu, Ting Sun, Shao Jian, Fuqiang Tian, and Guangheng Ni

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-3780', Anonymous Referee #1, 23 Jan 2025
    • AC1: 'Reply on RC3', Ruidong Li, 01 Jun 2025
    • AC2: 'Revision of egusphere-2024-3780 with tracked changes', Ruidong Li, 01 Jun 2025
  • RC2: 'Comment on egusphere-2024-3780', Anonymous Referee #2, 11 Feb 2025
    • AC1: 'Reply on RC3', Ruidong Li, 01 Jun 2025
    • AC2: 'Revision of egusphere-2024-3780 with tracked changes', Ruidong Li, 01 Jun 2025
  • RC3: 'Comment on egusphere-2024-3780', Anonymous Referee #3, 12 Mar 2025
    • AC1: 'Reply on RC3', Ruidong Li, 01 Jun 2025

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-3780', Anonymous Referee #1, 23 Jan 2025
    • AC1: 'Reply on RC3', Ruidong Li, 01 Jun 2025
    • AC2: 'Revision of egusphere-2024-3780 with tracked changes', Ruidong Li, 01 Jun 2025
  • RC2: 'Comment on egusphere-2024-3780', Anonymous Referee #2, 11 Feb 2025
    • AC1: 'Reply on RC3', Ruidong Li, 01 Jun 2025
    • AC2: 'Revision of egusphere-2024-3780 with tracked changes', Ruidong Li, 01 Jun 2025
  • RC3: 'Comment on egusphere-2024-3780', Anonymous Referee #3, 12 Mar 2025
    • AC1: 'Reply on RC3', Ruidong Li, 01 Jun 2025
Ruidong Li, Jiapei Liu, Ting Sun, Shao Jian, Fuqiang Tian, and Guangheng Ni
Ruidong Li, Jiapei Liu, Ting Sun, Shao Jian, Fuqiang Tian, and Guangheng Ni

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Short summary
This work presents a new approach to simulate sewer drainage effects for urban flooding with key missing information like flow directions and nodal depths estimated from incomplete information. Tested in Yinchuan, China, our approach exhibits high accuracy in reproducing flood depths and reliably outperforms existing methods in various rainfall scenarios. Our method offers a reliable tool for cities with limited sewer data to improve flood simulation performance.
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