Centre for Water Management and Reuse, School of Natural and Built Environments, University of South Australia, Adelaide, Australia.
Centre for Water Management and Reuse, School of Natural and Built Environments, University of South Australia, Adelaide, Australia.
Water Res. 2015 Mar 1;70:370-84. doi: 10.1016/j.watres.2014.12.015. Epub 2014 Dec 17.
Low-energy pollutant removal strategies are now being sought for water sensitive urban design. This paper describes investigations into the water quality and quantity of sixteen, low-maintenance and unfertilized intensive and extensive green roof beds. The factors of Slope (1° and 25°), Depth (100 mm and 300 mm), Growing media (type A, type B and type C) and Species (P1, P2 and P3) were randomized according to a split-split plot design. This consisted of twelve vegetated green roof beds and four non-vegetated beds as controls. Stormwater runoff was collected from drainage points that were installed in each area. Samples of run-off were collected for five rainfall events and analysed for water retention capacity and the water quality parameters of NO₂, NO₃, NH₄, PO₄, pH, EC, TDS, Turbidity, Na, Ca, Mg and K. The results indicated significant differences in terms of stormwater water quality and quantity between the outflows of vegetated and non-vegetated systems. The water retention was between 51% and 96% and this range was attributed to the green roof configurations in the experiment. Comparing the quality of rainfall as inflow, and the quality of runoff from the systems showed that green roofs generally acted as a source of pollutants in this study. In the vegetated beds, the intensive green roofs performed better than the extensive beds with regard to outflow quality while in the non-vegetated beds, the extensive beds performed better than intensive systems. This highlights the importance of vegetation in improving water retention capacity as well as the role of vegetation in enhancing pollutant removal in green roof systems. In addition growing media with less organic matter had better water quality performance. Comparison of these results with national and international standards for water reuse confirmed that the green roof outflow was suitable for non-potable uses such as landscape irrigation and toilet flushing.
目前正在寻求低能耗污染物去除策略,以用于对水敏感的城市设计。本文描述了对 16 个低维护和未施肥的密集和扩展绿色屋顶床的水质和水量的调查。根据裂区-裂区设计,对坡度(1°和 25°)、深度(100mm 和 300mm)、生长介质(A 型、B 型和 C 型)和物种(P1、P2 和 P3)等因素进行随机化处理。这包括 12 个植被绿色屋顶床和 4 个非植被床作为对照。从每个区域安装的排水点收集雨水径流。收集了五次降雨事件的径流样本,并对其水保留能力以及 NO₂、NO₃、NH₄、PO₄、pH 值、EC 值、TDS 值、浊度、Na、Ca、Mg 和 K 的水质参数进行了分析。结果表明,植被和非植被系统的雨水径流水质和水量存在显著差异。水保留率在 51%至 96%之间,这归因于实验中的绿色屋顶配置。将降雨质量作为流入物与系统径流质量进行比较表明,在本研究中,绿色屋顶通常充当污染物的来源。在植被床中,密集型绿色屋顶在流出物质量方面优于扩展型床,而在非植被床中,扩展型床的性能优于密集型系统。这强调了植被在提高水保留能力方面的重要性,以及植被在绿色屋顶系统中增强污染物去除方面的作用。此外,有机质含量较低的生长介质具有更好的水质性能。将这些结果与国家和国际的水再利用标准进行比较,证实了绿色屋顶的流出物适合用于非饮用水用途,如景观灌溉和冲洗厕所。