Developing simple indicators of nitrogen and phosphorus removal in constructed stormwater wetlands

被引:0
|
作者
Szota, Christopher [1 ]
Danger, Alistair [2 ]
Poelsma, Peter J. [1 ]
Hatt, Belinda E. [1 ,2 ]
James, Robert B. [1 ]
Rickard, Alison [2 ]
Burns, Matthew J. [1 ]
Cherqui, Frederic [1 ,3 ]
Grey, Vaughn [1 ,2 ]
Coleman, Rhys A. [1 ,2 ]
Fletcher, Tim D. [1 ]
机构
[1] Univ Melbourne, Sch Agr Food & Ecosyst Sci, Burnley, Vic, Australia
[2] Melbourne Water Corp, Docklands, Vic, Australia
[3] Univ Claude Bernard Lyon 1, Univ Lyon, INSA LYON, DEEP, F-69621 Villeurbanne, France
基金
澳大利亚研究理事会;
关键词
Vegetation cover; Pollutant removal; Stormwater wetlands; Stormwater; Water quality; Nitrogen; NUTRIENT ATTENUATION; URBAN RUNOFF; WATER DEPTH; FLOW; PERFORMANCE; SURFACE; GROWTH; VEGETATION; PATHWAYS; SCALE;
D O I
10.1016/j.scitotenv.2024.172192
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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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页数:14
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