Asset management for blue-green infrastructures: a scoping review

IF 2.3 Q3 ENVIRONMENTAL SCIENCES
J. Langeveld, F. Cherqui, F. Tscheikner-Gratl, T. Muthanna, M. F. Juárez, J. Leitão, B. Roghani, Karsten Kerres, Maria do Céu Almeida, C. Werey, B. Rulleau
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引用次数: 3

Abstract

Urban drainage systems have developed way beyond the traditional piped combined or separate sewer systems. Many ‘new’ systems are being introduced, ranging from stormwater infiltration facilities to green roofs. However, the widely advocated blue-green infrastructures are typically overlooked by asset managers, which will very likely have detrimental effects on their performance, service life, and wider adoption. In this paper, the working group on Urban Drainage Asset Management (UDAM – https://udam.home.blog/) of the IWA and IAHR Joint Committee on Urban Drainage discusses whether the state-of-the-art knowledge based on conventional sewer asset management is sufficient to develop asset management for blue-green infrastructures (BGIs). The discussion is structured around the five preconditions for effective control and asset management. Results show that asset management for BGIs is still underdeveloped due to a lack of monitoring techniques covering the broad range of BGI benefits and performance indicators, inspection techniques covering relevant failure mechanisms and models describing these mechanisms, maintenance and rehabilitation options, and sufficient support tools to aid inhabitants in the operation and maintenance of their individual BGIs such as green roofs or vegetated swales.
蓝绿色基础设施的资产管理:范围审查
城市排水系统的发展远远超过了传统的管道组合或单独下水道系统。许多“新”系统正在引入,从雨水渗透设施到绿色屋顶。然而,广受推崇的蓝绿色基础设施通常被资产管理公司忽视,这很可能会对其性能、使用寿命和更广泛的采用产生不利影响。在本文中,城市排水资产管理工作组(UDAM–https://udam.home.blog/)IWA和IAHR城市排水联合委员会讨论了基于传统下水道资产管理的最先进知识是否足以发展蓝绿色基础设施的资产管理。讨论围绕有效控制和资产管理的五个先决条件展开。结果表明,由于缺乏涵盖广泛的华大基因效益和绩效指标的监测技术、涵盖相关故障机制和描述这些机制的模型的检查技术、维护和修复选项,华大基因的资产管理仍然不发达,以及足够的支持工具,以帮助居民操作和维护其单独的BGI,如绿色屋顶或植被洼地。
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
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0.00%
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