Articles | Volume 29, issue 20
https://doi.org/10.5194/hess-29-5677-2025
https://doi.org/10.5194/hess-29-5677-2025
Research article
 | 
23 Oct 2025
Research article |  | 23 Oct 2025

Enhancing urban pluvial flood modeling through graph reconstruction of incomplete sewer networks

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

Model code and software

Graph-based sewer reconstruction with incomplete information Ruidong Li et al. https://doi.org/10.5281/zenodo.15522608

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Short summary
This work presents a new approach to simulate sewer drainage effects from incomplete information in the context of urban flooding, given missing information like flow directions and nodal depths. 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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