A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale

The vast development of urban areas has resulted in the increase of stormwater peak runoff and volume. Water quality has also been adversely affected. The best management practices (BMPs) and low impact development (LID) techniques could be applied to urban areas to mitigate these effects. A quantit...

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Bibliographic Details
Published in:Water (Basel) 2019-07, Vol.11 (7), p.1415
Main Authors: Rezaei, Abdul Razaq, Ismail, Zubaidah, Niksokhan, Mohammad Hossein, Dayarian, Muhammad Amin, Ramli, Abu Hanipah, Shirazi, Sharif Moniruzzaman
Format: Article
Language:English
Subjects:
Best management practices
Catchment scale
Catchments
Environmental management
Environmental protection
Floods
Gardens & gardening
Hydrology
Pollutants
Quality assessment
Rainfall
Runoff
Sediments
Storm runoff
Stormwater
Stormwater management
Swales
Urban areas
Urbanization
Water management
Water quality
Water quality control
Water quality management
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Summary:The vast development of urban areas has resulted in the increase of stormwater peak runoff and volume. Water quality has also been adversely affected. The best management practices (BMPs) and low impact development (LID) techniques could be applied to urban areas to mitigate these effects. A quantity–quality model was developed to simulate LID practices at the catchment scale using the US Environmental Protection Agency Storm Water Management Model (US EPA SWMM). The purpose of the study was to investigate the impacts of LID techniques on hydrology and water quality. The study was performed in BUNUS catchment in Kuala Lumpur, Malaysia. This study applied vegetated swale and rain garden to assess the model performance at a catchment scale using real field data. The selected LIDs occupied 7% of each subcatchment (of which 40% was swale and 30% was rain garden). The LID removal efficiency was up to 40% and 62% for TN and TSS, respectively. The peak runoff reduction was up to 27% for the rainfall of up to 70 mm, and up to 19% for the rainfall of between 70 and 90 mm, respectively. For the longer storm events of higher than 90 mm the results were not as satisfactory as expected. The model was more effective in peak runoff reduction during the shorter rainfall events. As for the water quality, it was satisfactory in all selected rainfall scenarios.
ISSN:2073-4441
2073-4441
DOI:10.3390/w11071415