Sensitivity of sustainable urban drainage systems to precipitation events and malfunctions

IF 2.3 Q3 ENVIRONMENTAL SCIENCES
Fabian Funke, M. Kleidorfer
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引用次数: 0

Abstract

In recent years, sustainable urban drainage systems (SUDSs) have become increasingly popular, sometimes taking over large parts of conventional stormwater management. SUDSs are usually designed using simple design procedures based on statistical rainfall data, without long-term simulations or real rainfall events. In addition, there is little experience of how SUDS respond to potential failures and malfunctions, often caused by ageing infrastructure and lack of asset management. Based on these two factors influencing the hydrological performance of SUDS, this study investigates the sensitivity of seven different SUDSs to rainfall events and malfunctions. The study was conducted using the SWMM 5.2 modeling software and the low impact development (LID) module was implemented for a period of 60 years. The SUDS are studied as individual infrastructure and as part of a small urban catchment. The results show that only the green roofs and rainwater cisterns have a statistically significant correlation between the length and return period of rain events and runoff values, with higher correlations for longer rain events. In contrast, the failures and malfunctions investigated can have a significant impact on the hydrological performance of SUDS. In particular, the design return period of SUDS was occasionally significantly exceeded for the strong malfunction scenarios studied.
可持续城市排水系统对降水事件和故障的敏感性
近年来,可持续城市排水系统(SUDS)越来越受欢迎,有时甚至取代了大部分传统的雨水管理方式。可持续城市排水系统的设计通常采用基于降雨统计数据的简单设计程序,没有进行长期模拟或实际降雨事件。此外,对于如何应对通常由基础设施老化和缺乏资产管理造成的潜在故障和失灵,人们也缺乏经验。基于这两个影响地下排水系统水文性能的因素,本研究调查了七种不同的地下排水系统对降雨事件和故障的敏感性。研究使用 SWMM 5.2 建模软件进行,低影响开发 (LID) 模块的实施期为 60 年。将 SUDS 作为单个基础设施和小型城市集水区的一部分进行研究。结果表明,只有绿色屋顶和雨水蓄水池在雨水事件的长度和重现期与径流值之间具有显著的统计学相关性,雨水事件越长,相关性越高。相比之下,所调查的故障和失灵情况会对地下水自动处理系统的水文性能产生重大影响。特别是,在所研究的强故障情况下,有时会大大超过地下排水系统的设计重现期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Blue-Green Systems
Blue-Green Systems Multiple-
CiteScore
8.70
自引率
0.00%
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