TY - JOUR
T1 - Zero additional maintenance stormwater biofilters
T2 - from laboratory testing to field implementation
AU - Prodanovic, Veljko
AU - Hatt, Belinda
AU - Fowdar, Harsha
AU - Al-Ameri, Mohammed
AU - Deletic, Ana
N1 - Funding Information:
This project was funded by the Living Rivers funding grant awarded by Melbourne Water and Manningham City Council, and Cooperative Research Centre (CRC) for Water Sensitive Cities (Project C4). We acknowledge the significant technical contribution to the project made by Simon Brink (Manningham Council) as well as other Council employees who designed, constructed, and maintained ZAM biofilters. Emily Payne is acknowledged for her help during the development of the parts of project proposal and technical input. We thank Feiran Huang and personnel from Monash University’s EPHM lab who contributed to the laboratory and field work.
Publisher Copyright:
© 2022 The Authors.
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
KW - heavy metals
KW - nature-based solution
KW - nutrients
KW - rain gardens
KW - water-sensitive urban design
UR - http://www.scopus.com/inward/record.url?scp=85148502343&partnerID=8YFLogxK
U2 - 10.2166/bgs.2022.030
DO - 10.2166/bgs.2022.030
M3 - Article
AN - SCOPUS:85148502343
SN - 2617-4782
VL - 4
SP - 291
EP - 309
JO - Blue-Green Systems
JF - Blue-Green Systems
IS - 2
ER -