Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization

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 max...

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Main Authors: Rezaei, Abdul Razaq, Ismail, Zubaidah, Niksokhan, Mohammad Hossein, Dayarian, Mohammad Amin, Ramli, Abu Hanipah, Yusoff, Sumiani
Format: Article
Published: Springer 2021
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Online Access:http://eprints.um.edu.my/28425/
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spelling my.um.eprints.284252022-08-04T08:30:22Z http://eprints.um.edu.my/28425/ Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization Rezaei, Abdul Razaq Ismail, Zubaidah Niksokhan, Mohammad Hossein Dayarian, Mohammad Amin Ramli, Abu Hanipah Yusoff, Sumiani Q Science (General) T Technology (General) 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. Springer 2021-04 Article PeerReviewed Rezaei, Abdul Razaq and Ismail, Zubaidah and Niksokhan, Mohammad Hossein and Dayarian, Mohammad Amin and Ramli, Abu Hanipah and Yusoff, Sumiani (2021) Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization. Environmental Monitoring and Assessment, 193 (4). ISSN 0167-6369, DOI https://doi.org/10.1007/s10661-021-09010-4 <https://doi.org/10.1007/s10661-021-09010-4>. 10.1007/s10661-021-09010-4
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic Q Science (General)
T Technology (General)
spellingShingle Q Science (General)
T Technology (General)
Rezaei, Abdul Razaq
Ismail, Zubaidah
Niksokhan, Mohammad Hossein
Dayarian, Mohammad Amin
Ramli, Abu Hanipah
Yusoff, Sumiani
Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization
description 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.
format Article
author Rezaei, Abdul Razaq
Ismail, Zubaidah
Niksokhan, Mohammad Hossein
Dayarian, Mohammad Amin
Ramli, Abu Hanipah
Yusoff, Sumiani
author_facet Rezaei, Abdul Razaq
Ismail, Zubaidah
Niksokhan, Mohammad Hossein
Dayarian, Mohammad Amin
Ramli, Abu Hanipah
Yusoff, Sumiani
author_sort Rezaei, Abdul Razaq
title Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization
title_short Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization
title_full Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization
title_fullStr Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization
title_full_unstemmed Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization
title_sort optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization
publisher Springer
publishDate 2021
url http://eprints.um.edu.my/28425/
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