基于组件的城市洪水模拟集成建模框架的开发

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Haocheng Wang , Songshan Yue , Zhuo Zhang , Fei Guo , Yongning Wen , Min Chen , Guonian Lü
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引用次数: 0

摘要

集成城市洪水模型可以为城市内涝问题提供更全面的解决方案。现有集成模型中采用的紧密耦合方法是自封闭的。当建模人员试图集成模型时,需要付出相当大的努力来重写代码并构建新的耦合模型。为了帮助建模人员重用城市洪水模型并配置不同的耦合解决方案,我们提出了一种基于组件的方法。建立模型组件是为了实现基于基本模型接口(BMI)的模型重用。双向耦合方法是为了支持水的交换而设计的。此外,还开发了一个模型交互集线器来配置不同的耦合工作。从而构建了城市洪水模拟的集成建模框架。雨水管理模型(SWMM)、ANUGA和LISFLOOD-FP通过涉及两个集成解决方案的实验来证明该框架的能力。结果表明,所提出的集成建模框架可以为城市雨水模拟提供可重用的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a component-based integrated modeling framework for urban flood simulation

Integrating urban flood models can offer more comprehensive solutions for urban waterlogging problems. The tightly coupled approaches adopted in existing integrated models are self-enclosed. When modelers try to integrate models, considerable effort is required to rewrite codes and build the new coupled model. To help modelers reuse urban flood models and configure different coupled solutions, we propose a component-based method. The model components were built to achieve the reuse of models based on the Basic Model Interface (BMI). The bidirectional coupled approach was designed to support the interchange of water. Moreover, a model interaction hub was developed to configure different coupling work. An integrated modeling framework for urban flood simulation was thus constructed. The Storm Water Management Model (SWMM), ANUGA, and LISFLOOD-FP were employed to demonstrate the capabilities of this framework through experiments involving two integrated solutions. The results show that the proposed integrated modeling framework can provide a reusable solution for urban stormwater simulation.

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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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