This page has only limited features, please log in for full access.

Unclaimed
Abdul Razaq Rezaei
Water Resources Engineering, Civil Engineering, Institute for Advanced Studies (IAS), University of Malaya, Kuala Lumpur, Malaysia

Basic Info

Basic Info is private.

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Article
Published: 31 March 2021 in Environmental Monitoring and Assessment
Reads 0
Downloads 0

Stormwater runoff is a major concern in urban areas which is mostly the result of vast urbanization. To reduce urban stormwater runoff and improve water quality, low impact development (LID) is used in urban areas. Therefore, it is vital to find the optimal combination of LID controls to achieve maximum reduction in both stormwater runoff and pollutants with optimal cost. In this study, a simulation–optimization model was developed by linking the EPA Storm Water Management Model (SWMM) to the Multi-Objective Particle Swarm Optimization (MOPSO) using MATLAB. The coupled model could carry out multi-objective optimization (MOO) and find potential solutions to the optimization objectives using the SWMM simulation model outputs. The SWMM model was developed using data from the BUNUS catchment in Kuala Lumpur, Malaysia. The total suspended solids (TSS) and total nitrogen (TN) were selected as pollutants to be used in the simulation model. Vegetated swale and rain garden were selected as LID controls for the study area. The LID controls were assigned to the model using the catchment characteristics. The target objectives were to minimize peak stormwater runoff, TSS, and TN with the minimum number of LID controls applications. The LID combination scenarios were also tested in SWMM to identify the best LID types and combination to achieve maximum reduction in both peak runoff and pollutants. This study found that the peak runoff, TSS, and TN were reduced by 13%, 38%, and 24%, respectively. The optimal number of LID controls that could be used at the BUNUS catchment area was also found to be 25.

ACS Style

Abdul Razaq Rezaei; Zubaidah Ismail; Mohammad Hossein Niksokhan; Mohammad Amin Dayarian; Abu Hanipah Ramli; Sumiani Yusoff. Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization. Environmental Monitoring and Assessment 2021, 193, 1 -22.

AMA Style

Abdul Razaq Rezaei, Zubaidah Ismail, Mohammad Hossein Niksokhan, Mohammad Amin Dayarian, Abu Hanipah Ramli, Sumiani Yusoff. Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization. Environmental Monitoring and Assessment. 2021; 193 (4):1-22.

Chicago/Turabian Style

Abdul Razaq Rezaei; Zubaidah Ismail; Mohammad Hossein Niksokhan; Mohammad Amin Dayarian; Abu Hanipah Ramli; Sumiani Yusoff. 2021. "Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization." Environmental Monitoring and Assessment 193, no. 4: 1-22.

Journal article
Published: 10 July 2019 in Water
Reads 0
Downloads 0

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.

ACS Style

Abdul Razaq Rezaei; Zubaidah Ismail; Mohammad Hossein Niksokhan; Muhammad Amin Dayarian; Abu Hanipah Ramli; Sharif Moniruzzaman Shirazi. A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale. Water 2019, 11, 1415 .

AMA Style

Abdul Razaq Rezaei, Zubaidah Ismail, Mohammad Hossein Niksokhan, Muhammad Amin Dayarian, Abu Hanipah Ramli, Sharif Moniruzzaman Shirazi. A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale. Water. 2019; 11 (7):1415.

Chicago/Turabian Style

Abdul Razaq Rezaei; Zubaidah Ismail; Mohammad Hossein Niksokhan; Muhammad Amin Dayarian; Abu Hanipah Ramli; Sharif Moniruzzaman Shirazi. 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, no. 7: 1415.