V. Prodanovic, B. Hatt, Harsha S Fowdar, Mohammed Al-Ameri, A. Deletic
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引用次数: 1
摘要
雨水生物过滤器是应用最广泛的基于自然的城市水管理解决方案之一。在过去的20年里,生物过滤器的污染物去除性能得到了广泛的研究;然而,它们在现场的应用受到高维护要求的限制。在这项工作中,我们提出了零额外维护(ZAM)生物过滤器的概念,作为解决这一挑战的方案。为了了解ZAM生物过滤器的设计和操作,进行了一个三阶段的研究计划,以(i)检查可以防止表面堵塞的过滤介质配置,(ii)测试各种草坪草的污染物去除性能,以及(iii)通过现场监测验证实验室的发现。结果表明,保护性过滤介质层延缓了堵塞的发生。五种草坪草——Kenda Kikuyu、Empire Zoysia、Santa Ana Couch、Village Green Kikuyu和Palmetto Soft Leaf Buffalo——被发现可以有效降低氮浓度,并满足当地其他减少污染的要求。对三个现场规模的ZAM生物滤池的监测证实了它们的高营养和重金属去除性能。总的来说,这三项研究的结果证实,与标准街道景观相比,设计良好的ZAM生物滤池有潜力在无需额外维护的情况下实现雨水管理要求。
Zero additional maintenance stormwater biofilters: from laboratory testing to field implementation
Stormwater biofilters are one of the most widely used nature-based solutions for urban water management. In the last 20 years, biofilters have been extensively studied for their pollutant removal performance; however, their application in the field is limited by high maintenance requirements. In this work, we propose the concept of zero additional maintenance (ZAM) biofilters as a solution to this challenge. To understand the design and operation of ZAM biofilters, a three-stage research programme was conducted to (i) examine filter media configurations that could protect against surface clogging, (ii) test the pollutant removal performance of a variety of lawn grasses, and (iii) validate the laboratory findings through field monitoring. The results showed that a protective filter media layer delayed the onset of clogging. Five lawn grasses – Kenda Kikuyu, Empire Zoysia, Santa Ana Couch, Village Green Kikuyu and Palmetto Soft Leaf Buffalo – were found to effectively reduce nitrogen concentrations and meet other local pollution reduction requirements. Monitoring of three field-scale ZAM biofilters confirmed their high nutrient and heavy metal removal performance. Overall, the findings of these three studies confirm the potential for well-designed ZAM biofilters to achieve stormwater management requirements with no additional maintenance compared with standard street landscaping.