A web-based urban hydrology model for municipal scale applications

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Mahshid Mohammad Zadeh, Mazdak Arabi, Tyler Dell, Sybil Sharvelle
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引用次数: 0

Abstract

Extensive data and computational requirements limit the application of existing urban hydrology models at municipal scales. Community-enabled Lifecycle Analysis of Stormwater Infrastructure Costs (CLASIC) is a web-based deployment of the SWMM model with decoupled hydrologic and hydraulic components to enable hydrologic assessment at the municipal and larger scales. This study comprehensively evaluates the performance validity of CLASIC for characterization of hydrologic responses against SWMM and observed data. Furthermore, global sensitivity analysis is used to explore the significance of hydrologic and hydraulic model parameters across spatial and temporal scales. CLASIC reliably represents the urban hydrological processes and accurately quantifies stream discharge at the municipal scale and temporal scales greater than the catchment's time of concentration. Notably, the computational requirements of CLASIC are substantially lower than those of SWMM as the catchment drainage area increases. The application of CLASIC for flood assessment may be conducted with careful examination of the estimated peak discharge at sub-daily timescales.

市政规模应用的网络城市水文模型
大量的数据和计算要求限制了现有城市水文模型在市政范围内的应用。社区支持的暴雨基础设施成本生命周期分析(CLASIC)是 SWMM 模型的网络部署,它具有解耦的水文和水力组件,可在市政和更大范围内进行水文评估。本研究对照 SWMM 和观测数据,全面评估了 CLASIC 在水文响应特征描述方面的性能有效性。此外,还采用了全局敏感性分析来探讨水文和水力模型参数在空间和时间尺度上的重要性。CLASIC 能可靠地反映城市水文过程,并能准确地量化城市范围内的河流排放量,其时间尺度大于集水区的集中时间。值得注意的是,随着集水区排水面积的增加,CLASIC 的计算要求大大低于 SWMM。在应用 CLASIC 进行洪水评估时,可仔细检查亚日时间尺度的估计峰值排水量。
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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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