Long-term performance of bioretention systems in storm runoff management under climate change and life-cycle condition

Long-term performance of bioretention systems in storm runoff management under climate change and life-cycle condition
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气候变化和生命周期条件下生物滞留系统在风暴径流管理中的长期性能

DOI:
10.1016/j.scs.2020.102598
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发表时间:
2020-11
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 Dongqing;Wang Zhilin;Zhou Shiqi;Tan Soon Keat

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生物滞留系统(BS)是一种低影响开发(LID)实践,是一种自然和分散的设计,应用于建筑环境中,用于广泛管理暴雨径流。然而,BS在其生命周期内效率的高度不确定性可能导致对实际性能的高估。气候变化的不确定性也可能限制BSs的有效性。为了提供有效控制地表径流的生物多样性,本研究提出了一种模拟单一气候变化情景(RCP 8.5)下生物多样性生命周期性能的建模方法(一般环流模型)。广州的一项案例研究表明,在高排放情景下,极端风暴变得越来越频繁,但持续时间越来越短。在雨水管理模型的模拟期间,研究了BSs在减少峰值流量和径流量方面的长期效率。性能随着实施区域的增加而提高,但边际增长缩小了。随着结构老化和气候变化恶化,BS的整体效率下降。BSs对小降雨事件有效,在0 - 25%的百分位数范围内,BSs覆盖超过5%的集水区,峰值流量和径流量减少75%以上。但许多极端风暴可能无法有效缓解(减少不到25%),即使有非常大的BS区域。在高度不透水的集水区,性能将更加有限。本研究的建模方法和结果规定了在评估BS时的整体和动态考虑,可以帮助改进LID规划的决策支持系统。
Bioretention system (BS), a low impact development (LID) practice, is a natural and decentralized design implemented into the built environment for managing storm runoff widely. However, high uncertainties regarding the efficiency of BS over their life cycle may result in overestimates of the actual performance. Uncertainty of climate change may also limit the effectiveness of BSs. To provide BS that efficiently controls surface runoff, this study proposes a modeling method (General circulation models) for simulating the performances of BSs over its life cycle under a single climate change scenario (RCP 8.5). A case study in Guangzhou shows extreme storms are becoming more frequent but with shorter duration under a high-emissions scenario. The long-term efficiencies of BSs in reducing peak flow and runoff volume were examined during the simulated period in the Stormwater Management Model. Performance improved as the implementation area increased, but the marginal increase shrank. The overall efficiency of the BS fell as its structure aged and climate change worsened. BSs are effective for small rainfall events, with peak flow and runoff volume reduced by more than 75 % by BSs covering more than 5% of the catchment area, given rainfall in the 0–25 % percentile range. But many extreme storms may not be effectively mitigated (reduction of less than 25 %), even with very large BS areas. Performance will be even more limited in the presence of highly impervious catchment. The modeling method and results of this study, which prescribe a holistic and dynamic consideration in evaluation of BS, can help improve decision support systems for LID planning.
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