UIDS: A Matlab-based urban flood model considering rainfall-induced and surcharge-induced inundations

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Vinh Ngoc Tran , Jongho Kim
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引用次数: 0

Abstract

The Urban Inundation-Drainage Simulator (UIDS) is a new coupled model for simulating urban flooding dynamics, developed as an open-source, MATLAB-based platform. It integrates a rainfall-runoff model with a two-dimensional overland flow model (OFM) and a one-dimensional sewer flow model (SFM). Unlike conventional models limited to either rainfall-induced or sewer surcharge-induced flooding, UIDS captures bidirectional surface-underground interactions to simulate both processes simultaneously. The OFM employs an explicit time-stepping scheme and robust wet-dry front treatment, while a weir equation describes roof-to-ground flow exchange for numerical stability. Timing synchronization facilitates continuous OFM-SFM coupling. Benchmarking and case studies of Gangnam flood events demonstrate UIDS's ability to accurately simulate urban flooding, particularly subcritical flows. The open-source nature of UIDS allows user flexibility in accessing and modifying the MATLAB code. Ultimately, UIDS is expected to serve as an accessible and adaptable tool for urban flood modeling and risk assessment.

UIDS:基于 Matlab 的城市洪水模型,考虑降雨引起的洪水和附加荷载引起的洪水
城市淹没-排水模拟器(UIDS)是一个用于模拟城市洪水动态的新型耦合模型,是一个基于 MATLAB 的开源平台。它将降雨-径流模型与二维陆地流模型(OFM)和一维下水道流模型(SFM)集成在一起。与局限于降雨引发的洪水或下水道溢流引发的洪水的传统模型不同,UIDS 可捕捉地表与地下的双向相互作用,同时模拟这两个过程。OFM 采用显式时间步进方案和稳健的干湿前沿处理,而堰式方程则描述了屋顶到地面的水流交换,以实现数值稳定性。时间同步促进了 OFM-SFM 的连续耦合。基准测试和江南洪水事件案例研究表明,UIDS 能够准确模拟城市洪水,尤其是次临界流。UIDS 的开源性质允许用户灵活访问和修改 MATLAB 代码。最终,UIDS 可望成为城市洪水建模和风险评估的可访问、可调整的工具。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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