| Autor: |
Charters, Frances J.1 (AUTHOR) frances.charters@canterbury.ac.nz, O'Sullivan, Aisling D.1 (AUTHOR) aisling.osullivan@canterbury.ac.nz, Cochrane, Thomas A.1 (AUTHOR) tom.cochrane@canterbury.ac.nz |
| Předmět: |
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| Zdroj: |
Journal of Environmental Management. Nov2022, Vol. 322, pN.PAG-N.PAG. 1p. |
| Abstrakt: |
The contribution of ecotoxic dissolved metals from metallic roofs into urban waterways is a global issue. Identifying the specific origin of dissolved metals is critical to enabling appropriate stormwater management approaches that can provide the intended outcome of cleaner urban waterways. An event load pollutant model, Modelled Estimates of Discharges for Urban Stormwater Assessments (MEDUSA2.0), was used to predict the zinc load contributed from individual roof surfaces, under a wide range of rainfall conditions. Zinc was chosen as the pollutant of most concern given the extensive area of zinc-based roof surfaces, and the prevalence and mobility of zinc within urban waterways. The model categorized each roof by surface material and condition, and was run for individual rain events across multiple years to illustrate the influences on zinc loads from both surface type and rainfall conditions. Scenarios of future management were also assessed through the model to compare their benefits in terms of load reductions against the current baseline loadings. To understand how the load prediction and scenario modelling can provide valuable guidance for stormwater management decision-makers, the model was applied to a large urban catchment in Christchurch, New Zealand. Seven representative subcatchments of the varying proportions of industrial, commercial and residential land use type were also modelled to compare zinc loads generated. Results showed that an individual catchment's composition of roof types was the main driver of zinc load generation rather than the catchment's land use type. The modelled management scenarios demonstrated that reductions of 30% zinc could be achieved by changing only 4–13% of a subcatchment's unpainted zinc-based roof surfaces. • MEDUSA2.0 model used to determine Zn runoff from individual roof type and condition. • Composition of roof types, not land-use, is main driver of catchment's zinc load. • Scenario modelling can guide selection of optimal management strategy. • Load reductions of up to 30% can be achieved by targeting 4–13% of roof surfaces. • Multi-year modelling informs expected load responses under future climate change. [ABSTRACT FROM AUTHOR] |
| Databáze: |
GreenFILE |
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Full Text from ScienceDirect