Predicting Event-Based Sediment and Heavy Metal Loads in Untreated Urban Runoff from Impermeable Surfaces

Understanding the amount of pollutants contributed by impermeable urban surfaces during rain events is necessary for developing effective stormwater management. A process-based pollutant load model, named Modelled Estimates of Discharges for Urban Stormwater Assessments (MEDUSA), was further develop...

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Main Authors: Frances J. Charters, Thomas A. Cochrane, Aisling D. O’Sullivan
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/4/969
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spelling doaj-d1867074d0cd44a9843bfb9b719762472020-11-25T02:23:05ZengMDPI AGWater2073-44412020-03-011296996910.3390/w12040969Predicting Event-Based Sediment and Heavy Metal Loads in Untreated Urban Runoff from Impermeable SurfacesFrances J. Charters0Thomas A. Cochrane1Aisling D. O’Sullivan2Department of Civil and Natural Resources Engineering, University of Canterbury, Private Bag 4800, Christchurch 8140, New ZealandDepartment of Civil and Natural Resources Engineering, University of Canterbury, Private Bag 4800, Christchurch 8140, New ZealandDepartment of Civil and Natural Resources Engineering, University of Canterbury, Private Bag 4800, Christchurch 8140, New ZealandUnderstanding the amount of pollutants contributed by impermeable urban surfaces during rain events is necessary for developing effective stormwater management. A process-based pollutant load model, named Modelled Estimates of Discharges for Urban Stormwater Assessments (MEDUSA), was further developed (MEDUSA2.0; Christchurch, New Zealand) to include simulations of dissolved metal loadings and improve total suspended solids (TSS) loading estimations. The model uses antecedent dry days, rainfall pH, average event intensity and duration to predict sediment and heavy metal loads generated by individual surfaces. The MEDUSA2.0 improvements provided a moderate to strong degree of fit to observed sediment, copper, and zinc loads for each modelled road and roof surface type. The individual surface-scale modelling performed by MEDUSA2.0 allows for identification of specific source areas of high pollution for targeted surface management within urban catchments.https://www.mdpi.com/2073-4441/12/4/969MEDUSA2.0stormwater qualitytotal suspended solidsparticulate and dissolved metalsrainfall characteristics
collection DOAJ
language English
format Article
sources DOAJ
author Frances J. Charters
Thomas A. Cochrane
Aisling D. O’Sullivan
spellingShingle Frances J. Charters
Thomas A. Cochrane
Aisling D. O’Sullivan
Predicting Event-Based Sediment and Heavy Metal Loads in Untreated Urban Runoff from Impermeable Surfaces
Water
MEDUSA2.0
stormwater quality
total suspended solids
particulate and dissolved metals
rainfall characteristics
author_facet Frances J. Charters
Thomas A. Cochrane
Aisling D. O’Sullivan
author_sort Frances J. Charters
title Predicting Event-Based Sediment and Heavy Metal Loads in Untreated Urban Runoff from Impermeable Surfaces
title_short Predicting Event-Based Sediment and Heavy Metal Loads in Untreated Urban Runoff from Impermeable Surfaces
title_full Predicting Event-Based Sediment and Heavy Metal Loads in Untreated Urban Runoff from Impermeable Surfaces
title_fullStr Predicting Event-Based Sediment and Heavy Metal Loads in Untreated Urban Runoff from Impermeable Surfaces
title_full_unstemmed Predicting Event-Based Sediment and Heavy Metal Loads in Untreated Urban Runoff from Impermeable Surfaces
title_sort predicting event-based sediment and heavy metal loads in untreated urban runoff from impermeable surfaces
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2020-03-01
description Understanding the amount of pollutants contributed by impermeable urban surfaces during rain events is necessary for developing effective stormwater management. A process-based pollutant load model, named Modelled Estimates of Discharges for Urban Stormwater Assessments (MEDUSA), was further developed (MEDUSA2.0; Christchurch, New Zealand) to include simulations of dissolved metal loadings and improve total suspended solids (TSS) loading estimations. The model uses antecedent dry days, rainfall pH, average event intensity and duration to predict sediment and heavy metal loads generated by individual surfaces. The MEDUSA2.0 improvements provided a moderate to strong degree of fit to observed sediment, copper, and zinc loads for each modelled road and roof surface type. The individual surface-scale modelling performed by MEDUSA2.0 allows for identification of specific source areas of high pollution for targeted surface management within urban catchments.
topic MEDUSA2.0
stormwater quality
total suspended solids
particulate and dissolved metals
rainfall characteristics
url https://www.mdpi.com/2073-4441/12/4/969
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