Multi-scale stormwater harvesting to enhance urban resilience to climate change impacts and natural disasters

IF 2.3 Q3 ENVIRONMENTAL SCIENCES
Thuy Thi Nguyen, P. Bach, M. Pahlow
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引用次数: 1

Abstract

Stormwater harvesting systems are a viable option to adapt cities to cope with climate change and reduce pressure on water supply services. This is particularly crucial in the event of natural disasters (e.g., earthquakes, floods), where large parts of cities may become disconnected from a secure water supply for prolonged time periods. We demonstrate how optimum location, density and storage size can be determined using UrbanBEATS, a spatial planning-support system for planning and design of sustainable Blue-Green Infrastructure strategies. We investigate the Ōtākaro/Avon River catchment, Christchurch, New Zealand for the time periods 2011–2020, 2041–2050 and 2091–2100 (for the RCP 8.5 climate change scenario). For targets of 30% of potable water substitution and 70% storage volumetric reliability, we found that stormwater harvesting systems in all climate scenarios required a larger capacity compared to the baseline. Most storages achieved their set targets and were larger than the municipality's recommended 9 m3 for flood inundation, indicating that the identified storages would also reduce minor flooding while ensuring water savings. A shift in the spatial layout of modelled systems from highly distributed to more centralised, however, raises a potential conflict with disaster resilience where more local solutions would be preferable.
多尺度雨水收集,增强城市抵御气候变化影响和自然灾害的能力
雨水收集系统是使城市适应气候变化和减轻供水服务压力的可行选择。在发生自然灾害(如地震、洪水)时,这一点尤为重要,因为在自然灾害中,城市的大部分地区可能会长时间失去安全的供水。我们展示了如何使用UrbanBEATS来确定最佳位置、密度和存储大小,UrbanBEATS是一个用于规划和设计可持续蓝绿基础设施战略的空间规划支持系统。我们调查了2011年至2020年、2041年至2050年和2091年至2100年期间(针对RCP 8.5气候变化情景),新西兰克赖斯特彻奇的Ōtākaro/Avon河流域。对于30%的饮用水替代率和70%的储存容量可靠性的目标,我们发现,与基线相比,所有气候情景下的雨水收集系统都需要更大的容量。大多数蓄水量都达到了既定目标,超过了市政当局建议的9立方米洪水淹没量,这表明确定的蓄水量也将减少小洪水,同时确保节水。然而,建模系统的空间布局从高度分散向更集中的转变,会引发与抗灾能力的潜在冲突,更可取的是更本地化的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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