A Research of an Urban Rainstorm Water Model
- DOI
- 10.2991/978-94-6463-728-1_64How to use a DOI?
- Keywords
- urban rainstorm water model; Jinan City; the Lattice Boltzmann method; geographical information system
- Abstract
Jinan city China has a special topography. It can be described as “south flood and north water logging” during the strong rainstorm events. In order to describe this characteristics, an urban rainstorm water model is constructed in this paper. This model can consider not only the inundation but also the street flood. The Lattice Boltzmann method is selected to calculate the hydrodynamic part of the model. Because of the Lattice Boltzmann method, the contradictions between numerical stability and computational efficiency of traditional numerical method is overcame, and the calculation efficiency is greatly improved. Through geographical information system (GIS), simulation results can be displayed in a visualized way. In order to test and verify the model accuracy, the observed data of Huang Taiqiao hydrological station on Xiaoqing River are used. The calculated results of the model are compared to the measured data, and the satisfactory simulation results are gained.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ningning Liu AU - Wenjing Zhang PY - 2025 DA - 2025/05/19 TI - A Research of an Urban Rainstorm Water Model BT - Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024) PB - Atlantis Press SP - 689 EP - 696 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-728-1_64 DO - 10.2991/978-94-6463-728-1_64 ID - Liu2025 ER -