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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| Format: | Article |
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MDPI
2019
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| _version_ | 1825722098474024960 |
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| author | Rezaei, Abdul Razaq Ismail, Zubaidah Niksokhan, Mohammad Hossein Dayarian, Muhammad Amin Ramli, Abu Hanipah Shirazi, Sharif Moniruzzaman |
| author_facet | Rezaei, Abdul Razaq Ismail, Zubaidah Niksokhan, Mohammad Hossein Dayarian, Muhammad Amin Ramli, Abu Hanipah Shirazi, Sharif Moniruzzaman |
| author_sort | Rezaei, Abdul Razaq |
| collection | UM |
| description | 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. © 2019 by the authors. |
| first_indexed | 2024-03-06T06:00:28Z |
| format | Article |
| id | um.eprints-23650 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T06:00:28Z |
| publishDate | 2019 |
| publisher | MDPI |
| record_format | dspace |
| spelling | um.eprints-236502020-02-03T03:53:58Z http://eprints.um.edu.my/23650/ A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale Rezaei, Abdul Razaq Ismail, Zubaidah Niksokhan, Mohammad Hossein Dayarian, Muhammad Amin Ramli, Abu Hanipah Shirazi, Sharif Moniruzzaman TA Engineering (General). Civil engineering (General) 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. © 2019 by the authors. MDPI 2019 Article PeerReviewed Rezaei, Abdul Razaq and Ismail, Zubaidah and Niksokhan, Mohammad Hossein and Dayarian, Muhammad Amin and Ramli, Abu Hanipah and Shirazi, Sharif Moniruzzaman (2019) A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale. Water, 11 (7). p. 1415. ISSN 2073-4441, DOI https://doi.org/10.3390/w11071415 <https://doi.org/10.3390/w11071415>. https://doi.org/10.3390/w11071415 doi:10.3390/w11071415 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Rezaei, Abdul Razaq Ismail, Zubaidah Niksokhan, Mohammad Hossein Dayarian, Muhammad Amin Ramli, Abu Hanipah Shirazi, Sharif Moniruzzaman A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale |
| title | A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale |
| title_full | A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale |
| title_fullStr | A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale |
| title_full_unstemmed | A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale |
| title_short | A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale |
| title_sort | quantity quality model to assess the effects of source control stormwater management on hydrology and water quality at the catchment scale |
| topic | TA Engineering (General). Civil engineering (General) |
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