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Utilization of response surface methodology and regression model in optimizing bioretention performance

In recent years, the popularity of optimization of bioretention systems through statistical experimental design had increased due to rapid urbanization, which directly impacted the water quality and quantity of stormwater runoff from an increasing area of impervious surface. Experimental design is n...

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Main Authors: Jason Lowell Jitolis, Awang Nasrizal Awang Ali, Ismail Saad, Nazaruddin Abdul Taha, Juferi Idris, Nurmin Bolong
Format: Proceedings
Language:English
English
Published: Institute of Electrical and Electronics Engineers 2021
Subjects:
QA1-43 General
TD1-1066 Environmental technology. Sanitary engineering
Online Access:https://eprints.ums.edu.my/id/eprint/32514/1/Utilization%20of%20response%20surface%20methodology%20and%20regression%20model%20in%20optimizing%20bioretention%20performance.ABSTRCT.pdf
https://eprints.ums.edu.my/id/eprint/32514/2/Utilization%20of%20Response%20Surface%20Methodology%20and%20Regression%20Model%20in%20Optimizing%20Bioretention%20Performance.pdf
https://eprints.ums.edu.my/id/eprint/32514/
https://ieeexplore.ieee.org/document/9573644
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spelling my.ums.eprints.325142022-05-03T12:48:22Z https://eprints.ums.edu.my/id/eprint/32514/ Utilization of response surface methodology and regression model in optimizing bioretention performance Jason Lowell Jitolis Awang Nasrizal Awang Ali Ismail Saad Nazaruddin Abdul Taha Juferi Idris Nurmin Bolong QA1-43 General TD1-1066 Environmental technology. Sanitary engineering In recent years, the popularity of optimization of bioretention systems through statistical experimental design had increased due to rapid urbanization, which directly impacted the water quality and quantity of stormwater runoff from an increasing area of impervious surface. Experimental design is necessary for developing interaction between two or more responses with various affecting factors. Due to this significant possibility of combining several variables in optimizing experimentation results, statistical analysis is essential to observe the process and optimize the responses data accurately. Response Surface Methodology (RSM) is the most commonly used statistical analysis method. There is a wide range of RSM applications from science to industrial practice. The RSM method can handle multiple factors and responses in a short amount of time compared to conventional analysis. Hence, this paper highlights the significance of RSM in optimizing pollutants rate and regulation effects in bioretention cells. From the analytical literature observation, optimization of improved and conventional bioretention system shows positive interaction effect and responses value through various bioretention design factors manipulation. The validity of the regression model also shows adequate results and wellmatched between experimental and statistical predicted values. Institute of Electrical and Electronics Engineers 2021-09-13 Proceedings NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/32514/1/Utilization%20of%20response%20surface%20methodology%20and%20regression%20model%20in%20optimizing%20bioretention%20performance.ABSTRCT.pdf text en https://eprints.ums.edu.my/id/eprint/32514/2/Utilization%20of%20Response%20Surface%20Methodology%20and%20Regression%20Model%20in%20Optimizing%20Bioretention%20Performance.pdf Jason Lowell Jitolis and Awang Nasrizal Awang Ali and Ismail Saad and Nazaruddin Abdul Taha and Juferi Idris and Nurmin Bolong (2021) Utilization of response surface methodology and regression model in optimizing bioretention performance. https://ieeexplore.ieee.org/document/9573644
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QA1-43 General
TD1-1066 Environmental technology. Sanitary engineering
spellingShingle QA1-43 General
TD1-1066 Environmental technology. Sanitary engineering
Jason Lowell Jitolis
Awang Nasrizal Awang Ali
Ismail Saad
Nazaruddin Abdul Taha
Juferi Idris
Nurmin Bolong
Utilization of response surface methodology and regression model in optimizing bioretention performance
description In recent years, the popularity of optimization of bioretention systems through statistical experimental design had increased due to rapid urbanization, which directly impacted the water quality and quantity of stormwater runoff from an increasing area of impervious surface. Experimental design is necessary for developing interaction between two or more responses with various affecting factors. Due to this significant possibility of combining several variables in optimizing experimentation results, statistical analysis is essential to observe the process and optimize the responses data accurately. Response Surface Methodology (RSM) is the most commonly used statistical analysis method. There is a wide range of RSM applications from science to industrial practice. The RSM method can handle multiple factors and responses in a short amount of time compared to conventional analysis. Hence, this paper highlights the significance of RSM in optimizing pollutants rate and regulation effects in bioretention cells. From the analytical literature observation, optimization of improved and conventional bioretention system shows positive interaction effect and responses value through various bioretention design factors manipulation. The validity of the regression model also shows adequate results and wellmatched between experimental and statistical predicted values.
format Proceedings
author Jason Lowell Jitolis
Awang Nasrizal Awang Ali
Ismail Saad
Nazaruddin Abdul Taha
Juferi Idris
Nurmin Bolong
author_facet Jason Lowell Jitolis
Awang Nasrizal Awang Ali
Ismail Saad
Nazaruddin Abdul Taha
Juferi Idris
Nurmin Bolong
author_sort Jason Lowell Jitolis
title Utilization of response surface methodology and regression model in optimizing bioretention performance
title_short Utilization of response surface methodology and regression model in optimizing bioretention performance
title_full Utilization of response surface methodology and regression model in optimizing bioretention performance
title_fullStr Utilization of response surface methodology and regression model in optimizing bioretention performance
title_full_unstemmed Utilization of response surface methodology and regression model in optimizing bioretention performance
title_sort utilization of response surface methodology and regression model in optimizing bioretention performance
publisher Institute of Electrical and Electronics Engineers
publishDate 2021
url https://eprints.ums.edu.my/id/eprint/32514/1/Utilization%20of%20response%20surface%20methodology%20and%20regression%20model%20in%20optimizing%20bioretention%20performance.ABSTRCT.pdf
https://eprints.ums.edu.my/id/eprint/32514/2/Utilization%20of%20Response%20Surface%20Methodology%20and%20Regression%20Model%20in%20Optimizing%20Bioretention%20Performance.pdf
https://eprints.ums.edu.my/id/eprint/32514/
https://ieeexplore.ieee.org/document/9573644
_version_ 1760231036752494592
score 13.211869

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