Development of Ozone prediction model in urban area

One of the main challenges for countries in tropical area such as Malaysia is the high concentration of ozone (O3) caused by elevated levels of anthropogenic and natural ozone precursors. In this study, variation of O3 concentrations in urban area (Klang) was investigated using data covering three-y...

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Main Authors: Abdullah, S., Nasir, N.H.A., Ismail, M., Ahmed, A.N., Jarkoni, M.N.K.
Format: Article
Language:English
Published: 2020
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spelling my.uniten.dspace-128962020-07-07T04:38:29Z Development of Ozone prediction model in urban area Abdullah, S. Nasir, N.H.A. Ismail, M. Ahmed, A.N. Jarkoni, M.N.K. One of the main challenges for countries in tropical area such as Malaysia is the high concentration of ozone (O3) caused by elevated levels of anthropogenic and natural ozone precursors. In this study, variation of O3 concentrations in urban area (Klang) was investigated using data covering three-year period (2012–2015) on hourly basis. Result shows that the diurnal cycle of ozone concentration has a mid-day peak (1400hrs) while lower concentration occurs at night time (2100hrs) as it titrates nitrogen dioxide (NO2). There exists statistically significant difference (p<0.05) of O3 concentration at study areas. Moderate Spearman correlation coefficient was evaluated between O3 and NO2 (r=0.45, p<0.05). Multiple linear regression (MLR) model was developed and signifies that nitrogen oxides (NO), relative humidity (RH), NO2, carbon monoxide (CO), wind speed (WS), temperature (T) and sulphur dioxide (SO2) are the significant predictors for O3 concentration. This study suggests that the emission of O3 precursors, particularly NOx from motor vehicles, needs to be controlled to reduce the incidence of high O3 levels in Malaysia. © BEIESP. 2020-02-03T03:27:38Z 2020-02-03T03:27:38Z 2019 Article 10.35940/ijitee.J1127.0881019 en
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description One of the main challenges for countries in tropical area such as Malaysia is the high concentration of ozone (O3) caused by elevated levels of anthropogenic and natural ozone precursors. In this study, variation of O3 concentrations in urban area (Klang) was investigated using data covering three-year period (2012–2015) on hourly basis. Result shows that the diurnal cycle of ozone concentration has a mid-day peak (1400hrs) while lower concentration occurs at night time (2100hrs) as it titrates nitrogen dioxide (NO2). There exists statistically significant difference (p<0.05) of O3 concentration at study areas. Moderate Spearman correlation coefficient was evaluated between O3 and NO2 (r=0.45, p<0.05). Multiple linear regression (MLR) model was developed and signifies that nitrogen oxides (NO), relative humidity (RH), NO2, carbon monoxide (CO), wind speed (WS), temperature (T) and sulphur dioxide (SO2) are the significant predictors for O3 concentration. This study suggests that the emission of O3 precursors, particularly NOx from motor vehicles, needs to be controlled to reduce the incidence of high O3 levels in Malaysia. © BEIESP.
format Article
author Abdullah, S.
Nasir, N.H.A.
Ismail, M.
Ahmed, A.N.
Jarkoni, M.N.K.
spellingShingle Abdullah, S.
Nasir, N.H.A.
Ismail, M.
Ahmed, A.N.
Jarkoni, M.N.K.
Development of Ozone prediction model in urban area
author_facet Abdullah, S.
Nasir, N.H.A.
Ismail, M.
Ahmed, A.N.
Jarkoni, M.N.K.
author_sort Abdullah, S.
title Development of Ozone prediction model in urban area
title_short Development of Ozone prediction model in urban area
title_full Development of Ozone prediction model in urban area
title_fullStr Development of Ozone prediction model in urban area
title_full_unstemmed Development of Ozone prediction model in urban area
title_sort development of ozone prediction model in urban area
publishDate 2020
_version_ 1672614187880153088
score 13.222552