Development of Ozone prediction model in urban area

Samsuri Abdullah, Najihah Husna Ahmad Nasir, Marzuki Ismail, Ali Najah Ahmed, Mohammad Nor Khasbi Jarkoni

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2263-2267
Number of pages5
JournalInternational Journal of Innovative Technology and Exploring Engineering
Volume8
Issue number10
DOIs
Publication statusPublished - Aug 2019

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Civil and Structural Engineering
  • Mechanics of Materials
  • Electrical and Electronic Engineering

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