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Development of models for forecasting of seasonal ground level ozone (O3)

Ozone (O3) is a secondary pollutant that releases to the atmosphere through industrial and motor vehicles emission which give an adverse impact, especially on human health. The meteorological factor especially weather condition has influenced the production of O3 concentration in the atmosphere. Thi...

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Main Authors: Napi N.N.L.M., Abdullah S., Mansor A.A., Ahmed A.N., Ismail M.
Other Authors: 57224902975
Format: Article
Published: Taylor's University 2023
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spelling my.uniten.dspace-260662023-05-29T17:06:30Z Development of models for forecasting of seasonal ground level ozone (O3) Napi N.N.L.M. Abdullah S. Mansor A.A. Ahmed A.N. Ismail M. 57224902975 56509029800 57211858557 57214837520 57210403363 Ozone (O3) is a secondary pollutant that releases to the atmosphere through industrial and motor vehicles emission which give an adverse impact, especially on human health. The meteorological factor especially weather condition has influenced the production of O3 concentration in the atmosphere. This study aims to develop O3 forecasting model during different monsoon seasons. The data from the year 2012 until 2014 were acquired including O3, nitrogen oxide (NO), nitrogen dioxide (NO2), carbon monoxide (CO), sulphur dioxide (SO2), wind speed (WS), ambient temperature (T) and relative humidity (RH) on an hourly basis. The Multiple Linear Regression (MLR) models were developed for the prediction of up to 3 hours in advance. Southwest Monsoon (SWM) was having a higher O3 concentration with a mean value of 0.024 ppm while Inter Monsoon 2 (IM2) was having the lowest concentration of O3, 0.019 ppm. The best fits MLR models for each monsoon were O3,t+1 as compared to O3,t+2 and O3,t+3. The better interpretation and prediction of O3 behaviour during monsoon conditions can help the responsible parties to plan early mitigation measures to address the air pollution problem. � School of Engineering, Taylor�s University. Final 2023-05-29T09:06:30Z 2023-05-29T09:06:30Z 2021 Article 2-s2.0-85111739194 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111739194&partnerID=40&md5=efdc3d753d423570bdb09f0a4c15d786 https://irepository.uniten.edu.my/handle/123456789/26066 16 4 3136 3154 Taylor's University Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
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description Ozone (O3) is a secondary pollutant that releases to the atmosphere through industrial and motor vehicles emission which give an adverse impact, especially on human health. The meteorological factor especially weather condition has influenced the production of O3 concentration in the atmosphere. This study aims to develop O3 forecasting model during different monsoon seasons. The data from the year 2012 until 2014 were acquired including O3, nitrogen oxide (NO), nitrogen dioxide (NO2), carbon monoxide (CO), sulphur dioxide (SO2), wind speed (WS), ambient temperature (T) and relative humidity (RH) on an hourly basis. The Multiple Linear Regression (MLR) models were developed for the prediction of up to 3 hours in advance. Southwest Monsoon (SWM) was having a higher O3 concentration with a mean value of 0.024 ppm while Inter Monsoon 2 (IM2) was having the lowest concentration of O3, 0.019 ppm. The best fits MLR models for each monsoon were O3,t+1 as compared to O3,t+2 and O3,t+3. The better interpretation and prediction of O3 behaviour during monsoon conditions can help the responsible parties to plan early mitigation measures to address the air pollution problem. � School of Engineering, Taylor�s University.
author2 57224902975
author_facet 57224902975
Napi N.N.L.M.
Abdullah S.
Mansor A.A.
Ahmed A.N.
Ismail M.
format Article
author Napi N.N.L.M.
Abdullah S.
Mansor A.A.
Ahmed A.N.
Ismail M.
spellingShingle Napi N.N.L.M.
Abdullah S.
Mansor A.A.
Ahmed A.N.
Ismail M.
Development of models for forecasting of seasonal ground level ozone (O3)
author_sort Napi N.N.L.M.
title Development of models for forecasting of seasonal ground level ozone (O3)
title_short Development of models for forecasting of seasonal ground level ozone (O3)
title_full Development of models for forecasting of seasonal ground level ozone (O3)
title_fullStr Development of models for forecasting of seasonal ground level ozone (O3)
title_full_unstemmed Development of models for forecasting of seasonal ground level ozone (O3)
title_sort development of models for forecasting of seasonal ground level ozone (o3)
publisher Taylor's University
publishDate 2023
_version_ 1806427546708869120
score 13.211869

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