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Szota C, Danger A, Poelsma PJ, Hatt BE, James RB, Rickard A, Burns MJ, Cherqui F, Grey V, Coleman RA, Fletcher TD. Developing simple indicators of nitrogen and phosphorus removal in constructed stormwater wetlands. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 928:172192. [PMID: 38604363 DOI: 10.1016/j.scitotenv.2024.172192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 03/11/2024] [Accepted: 04/01/2024] [Indexed: 04/13/2024]
Abstract
Quantifying pollutant removal by stormwater wetlands requires intensive sampling which is cost-prohibitive for authorities responsible for a large number of wetlands. Wetland managers require simple indicators that provide a practical means of estimating performance and prioritising maintenance works across their asset base. We therefore aimed to develop vegetation cover and metrics derived from monitoring water level, as simple indicators of likely nutrient pollutant removal from stormwater wetlands. Over a two-year period, we measured vegetation cover and water levels at 17 wetlands and used both to predict nitrogen (N) and phosphorus (P) removal. Vegetation cover explained 48 % of variation in total nitrogen (TN) removal; with a linear relationship suggesting an approximate 9 % loss in TN removal per 10 % decrease in vegetation cover. Vegetation cover is therefore a useful indicator of TN removal. Further development of remotely-sensed data on vegetation configuration, species and condition will likely improve the accuracy of TN removal estimates. Total phosphorus (TP) removal was not predicted by vegetation cover, but was weakly related to the median water level which explained 25 % of variation TP removal. Despite weak prediction of TP removal, metrics derived from water level sensors identified faults such as excessive inflow and inefficient outflow, which in combination explained 50 % of the variation in the median water level. Monitoring water levels therefore has the potential to detect faults prior to loss of vegetation cover and therefore TN removal, as well as inform the corrective action required.
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Affiliation(s)
- Christopher Szota
- School of Agriculture, Food and Ecosystem Sciences, The University of Melbourne, Burnley, Victoria, Australia.
| | | | - Peter J Poelsma
- School of Agriculture, Food and Ecosystem Sciences, The University of Melbourne, Burnley, Victoria, Australia
| | - Belinda E Hatt
- School of Agriculture, Food and Ecosystem Sciences, The University of Melbourne, Burnley, Victoria, Australia; Melbourne Water Corporation, Docklands, Victoria, Australia
| | - Robert B James
- School of Agriculture, Food and Ecosystem Sciences, The University of Melbourne, Burnley, Victoria, Australia
| | - Alison Rickard
- Melbourne Water Corporation, Docklands, Victoria, Australia
| | - Matthew J Burns
- School of Agriculture, Food and Ecosystem Sciences, The University of Melbourne, Burnley, Victoria, Australia
| | - Frédéric Cherqui
- School of Agriculture, Food and Ecosystem Sciences, The University of Melbourne, Burnley, Victoria, Australia; Univ Lyon, INSA-LYON, Université Claude Bernard Lyon 1, DEEP, F-69621, F-69622, Villeurbanne, France
| | - Vaughn Grey
- School of Agriculture, Food and Ecosystem Sciences, The University of Melbourne, Burnley, Victoria, Australia; Melbourne Water Corporation, Docklands, Victoria, Australia
| | - Rhys A Coleman
- School of Agriculture, Food and Ecosystem Sciences, The University of Melbourne, Burnley, Victoria, Australia; Melbourne Water Corporation, Docklands, Victoria, Australia
| | - Tim D Fletcher
- School of Agriculture, Food and Ecosystem Sciences, The University of Melbourne, Burnley, Victoria, Australia
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