Modelling stormwater treatment systems using MUSIC: accuracy

Urban/rural stormwater quantity modelling has been well-researched and has achieved sufficient accuracy benchmark. However, modelling stormwater runoff quality (i.e. pollutants transport associated with stormwater) are relatively difficult and largely depends on catchment characteristics/land-uses;...

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Main Authors: Imteaz, Monzur Alam, Ahsan, Amimul, Rahman, Ataur, Mekanik, Fatemeh
Format: Article
Language:English
Published: Elsevier 2013
Online Access:http://psasir.upm.edu.my/id/eprint/28655/1/Modelling%20stormwater%20treatment%20systems%20using%20MUSIC.pdf
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author Imteaz, Monzur Alam
Ahsan, Amimul
Rahman, Ataur
Mekanik, Fatemeh
author_facet Imteaz, Monzur Alam
Ahsan, Amimul
Rahman, Ataur
Mekanik, Fatemeh
author_sort Imteaz, Monzur Alam
collection UPM
description Urban/rural stormwater quantity modelling has been well-researched and has achieved sufficient accuracy benchmark. However, modelling stormwater runoff quality (i.e. pollutants transport associated with stormwater) are relatively difficult and largely depends on catchment characteristics/land-uses; these can be estimated with acceptable accuracy provided pollutants transport equations are established through extensive field measurements. To ensure ecologically sustainable development, several stormwater treatment systems have been proposed. Model of Urban Stormwater Improvement Conceptualisation (MUSIC) developed and widely used in Australia, estimates pollutant transport from catchments and stormwater treatment through different systems. This paper presents a study on the accuracy of MUSIC estimations for different stormwater treatment options used in Australia and abroad. Data on several field measurements on different constructed stormwater treatment systems (bioretention, grass swale and porus pavement) in Australia, Sweden, New Zealand and Scotland was collected from literatures. The experimental results were compared with MUSIC's estimations under similar conditions. In general, it has been found that MUSIC can simulate flow conditions with good accuracy, however MUSIC's predictions on the removal efficiencies of Total Suspended Solids (TSS), Total Phosphorus (TP) and Total Nitrogen (TN) are varying. Potential reasons for these discrepancies are discussed. Also, a summary table showing MUSIC's overall capability on simulating stormwater treatment efficiencies for different treatment measures has been presented.
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spelling upm.eprints-286552015-09-21T03:08:30Z http://psasir.upm.edu.my/id/eprint/28655/ Modelling stormwater treatment systems using MUSIC: accuracy Imteaz, Monzur Alam Ahsan, Amimul Rahman, Ataur Mekanik, Fatemeh Urban/rural stormwater quantity modelling has been well-researched and has achieved sufficient accuracy benchmark. However, modelling stormwater runoff quality (i.e. pollutants transport associated with stormwater) are relatively difficult and largely depends on catchment characteristics/land-uses; these can be estimated with acceptable accuracy provided pollutants transport equations are established through extensive field measurements. To ensure ecologically sustainable development, several stormwater treatment systems have been proposed. Model of Urban Stormwater Improvement Conceptualisation (MUSIC) developed and widely used in Australia, estimates pollutant transport from catchments and stormwater treatment through different systems. This paper presents a study on the accuracy of MUSIC estimations for different stormwater treatment options used in Australia and abroad. Data on several field measurements on different constructed stormwater treatment systems (bioretention, grass swale and porus pavement) in Australia, Sweden, New Zealand and Scotland was collected from literatures. The experimental results were compared with MUSIC's estimations under similar conditions. In general, it has been found that MUSIC can simulate flow conditions with good accuracy, however MUSIC's predictions on the removal efficiencies of Total Suspended Solids (TSS), Total Phosphorus (TP) and Total Nitrogen (TN) are varying. Potential reasons for these discrepancies are discussed. Also, a summary table showing MUSIC's overall capability on simulating stormwater treatment efficiencies for different treatment measures has been presented. Elsevier 2013-02 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28655/1/Modelling%20stormwater%20treatment%20systems%20using%20MUSIC.pdf Imteaz, Monzur Alam and Ahsan, Amimul and Rahman, Ataur and Mekanik, Fatemeh (2013) Modelling stormwater treatment systems using MUSIC: accuracy. Resources, Conservation and Recycling, 71. pp. 15-21. ISSN 0921-3449; ESSN: 1879-0658 10.1016/j.resconrec.2012.11.007
spellingShingle Imteaz, Monzur Alam
Ahsan, Amimul
Rahman, Ataur
Mekanik, Fatemeh
Modelling stormwater treatment systems using MUSIC: accuracy
title Modelling stormwater treatment systems using MUSIC: accuracy
title_full Modelling stormwater treatment systems using MUSIC: accuracy
title_fullStr Modelling stormwater treatment systems using MUSIC: accuracy
title_full_unstemmed Modelling stormwater treatment systems using MUSIC: accuracy
title_short Modelling stormwater treatment systems using MUSIC: accuracy
title_sort modelling stormwater treatment systems using music accuracy
url http://psasir.upm.edu.my/id/eprint/28655/1/Modelling%20stormwater%20treatment%20systems%20using%20MUSIC.pdf
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AT mekanikfatemeh modellingstormwatertreatmentsystemsusingmusicaccuracy