Development of Ozone Prediction Model in Urban Area
Samsuri Abdullah1, Najihah Husna Ahmad Nasir2, Marzuki Ismail3, Ali Najah Ahmed4, Mohammad Nor Khasbi Jarkon5
1Samsuri Abdullah*, Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Air Quality and Environment Research Group, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.
2Najihah Husna Ahmad Nasir, Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.
3Marzuki Ismail, Faculty of Science and Marine Environment, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Air Quality and Environment Research Group, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.
4Ali Najah Ahmed, Faculty of Engineering, Universiti Tenaga Nasional, 43650 Bangi, Selangor, Malaysia; Institute of Engineering Infrastructures, Universiti Tenaga Nasional, 43650 Bangi, Selangor, Malaysia.
5Mohamad Nor Khasbi Jarkoni, Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.
Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 2263-2267| Volume-8 Issue-10, August 2019 | Retrieval Number: J11270881019/2019©BEIESP | DOI: 10.35940/ijitee.J1127.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Klang, multiple linear regression, ozone, spearman correlation, urban area
Scope of the Article: Municipal or Urban Engineering