Life-cycle cost analysis and resilience consideration for coupled grey infrastructure and low-impact development practices

Life-cycle cost analysis and resilience consideration for coupled grey infrastructure and low-impact development practices
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耦合灰色基础设施和低影响开发实践的生命周期成本分析和弹性考虑

DOI:
10.1016/j.scs.2021.103358
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发表时间:
2021-12
影响因子:
11.7
通讯作者:
Tan Soon Keat
Tan Soon Keat
中科院分区:
工程技术1区
文献类型:
--
作者:
Wang Mo;Zhang Yu;Zhang Dongqing;Zheng Yingsheng;Li Shan;Tan Soon Keat

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最近的研究表明,将灰色基础设施(GREI)与低影响开发相结合,可能是城市雨水管理的一种有前途的方法。然而,对这种耦合系统的水文复原力进行全面评估是具有挑战性的,这限制了规划和实施。本文提出了一种新的方法来衡量和优化不同分散程度的布局在水文可靠性约束下的生命周期成本,并评估其基于技术和运营的弹性。作者发现,在高密度集水区实施的耦合解决方案与传统的GREI相比在经济上具有竞争力。根据风险情景建模的结果,耦合系统对极端天气表现出更好的基于技术的适应能力,极端风暴期间除外(降雨间隔50年一次,风暴持续时间24小时)。在操作弹性(相对于结构故障)方面,包含源控制和路径排水的耦合系统具有更高的冗余度,比仅有Grei的系统更稳健。优化布局的去中心化并不能显著提高系统的弹性。这一方法可作为制定管理雨水径流战略的有益决策工具,以便在高密度城市集水区获得更好的水文复原力。
Recent studies have suggested that coupling grey infrastructure (GREI) with low-impact development may be a promising approach to urban stormwater management. However, comprehensive assessment of the hydrological resilience of such a coupled-system is challenging, and this limits planning and implementation. In this paper the authors developed an innovative approach to measure and optimise life cycle costs for layouts with different levels of decentralisation under the constraint of hydrological reliability, and assess their technology-based and operational resilience. The authors found that coupled solutions implemented in a high-density catchment are economically competitive compared with conventional GREI. Based on the findings of risk scenario modeling, the coupled-systems show better technology-based resilience to extreme weather, except during extreme storms (rainfall of 50-year recurrence interval with 24-hr storm duration). Regarding operational resilience (versus structural failure), coupled-systems incorporating source control and pathway drainage with higher redundancy are more robust than GREI-only system. Decentralisation with optimised layouts does not significantly improve system resilience. This methodology could be a helpful decision-making tool in developing strategies to manage stormwater runoff for better hydrological resilience in high-density urban catchments.
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