The potential for sustainable drainage systems (SuDS) in a regional urbanization project
The potential for sustainable drainage systems (SuDS) in a regional urbanization project
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区域城市化项目中可持续排水系统(SODS)的潜力
DOI：
10.3389/frsc.2022.922890
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发表时间：
2022-08
期刊：
影响因子：
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通讯作者：
Cherona Chapman;J. Hall
中科院分区：
文献类型：
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作者：
Cherona Chapman;J. Hall
到2030年，全球城市人口预计将达到50亿，因此需要大规模的城市发展来支持和维持这一不断增长的人口。与此同时，城市规划者面临着气候变化的压力，气候变化预测会有更强的降雨，进一步加剧了城市地区地表水泛滥的现有挑战。可持续排水系统（SuDS）是一个建议的解决方案，以帮助缓解这些问题，但仍然有很多关于他们的操作，性能和潜在的利益提供超出邻里规模，或在一个混合形式的发展。以剑桥-牛津弧（英格兰大规模城市化地区）为例，模拟了不同规模和空间布局的发展模式。雨水管理模型（SWMM），然后用来模拟地表水径流条件，在这些发展在1-10年的降雨事件。虽然密集的场景通常会导致更大的峰值径流率和总径流量，但在一些SuDS设计中并不总是如此，因为密集的场景为更多的SuDS提供了机会。不同地表覆盖类型的比例对径流量和径流率有很大的影响（由于不同的不透水表面区域和SuDS规定），由于不同的住房类型在每个开发情景下提供不同的比例，因此没有单一的类型显示所有情景下的最低或最高径流量。这项研究的结果突出了在规划的背景下，考虑多种类型和他们的足迹不同的表面，以最大限度地发挥潜力的发展设计，实现发展的目标的重要性。
With global urban populations expected to reach 5 billion by 2030, large-scale urban development is required to support and sustain this growing populous. At the same time, city planners are facing the pressures of climatic changes, which forecast more intense rainfall events, further exacerbating the existing challenge of surface water flooding in urban locations. Sustainable drainage systems (SuDS) are one proposed solution to help alleviate such problems, yet much still remains to be known about their operation, performance and potential benefit provision beyond the neighborhood scale, or within a mixed-form development. Using a case study of the Cambridge to Oxford Arc (a region of England earmarked for extensive urbanization), development patterns of different extents and spatial layout were modeled. The Stormwater Management Model (SWMM) was then used to simulate surface water runoff conditions in these developments during a 1-in-10-year rainfall event. Whilst denser scenarios typically led to greater peak runoff rates and total runoff volumes, this was not always the case under some SuDS designs as the denser scenarios provided the opportunity for more SuDS provision. The proportion of different surface cover types had a strong influence of runoff volumes and rates (due to the different impermeable surface areas and SuDS provision), and since the different housing typologies offered different proportions under each development scenario, there was no single typology that showed the lowest or highest runoff volume across all scenarios. The findings of this study highlight the importance in a planning context of considering multiple typologies and their footprints of different surfaces to maximize the potential of the development design in achieving the development's goals.