Publication:
Development of Ozone prediction model in urban area

Simple item page
dc.citedby13
dc.contributor.authorAbdullah S.en_US
dc.contributor.authorNasir N.H.A.en_US
dc.contributor.authorIsmail M.en_US
dc.contributor.authorAhmed A.N.en_US
dc.contributor.authorJarkoni M.N.K.en_US
dc.contributor.authorid56509029800en_US
dc.contributor.authorid57210571494en_US
dc.contributor.authorid57210403363en_US
dc.contributor.authorid57214837520en_US
dc.contributor.authorid57202203768en_US
dc.date.accessioned2023-05-29T07:24:20Z
dc.date.available2023-05-29T07:24:20Z
dc.date.issued2019
dc.description.abstractOne 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.35940/ijitee.J1127.0881019
dc.identifier.epage2267
dc.identifier.issue10
dc.identifier.scopus2-s2.0-85070968600
dc.identifier.spage2263
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85070968600&doi=10.35940%2fijitee.J1127.0881019&partnerID=40&md5=bde65022101e7a2d45a054ae1f5d8e73
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24537
dc.identifier.volume8
dc.publisherBlue Eyes Intelligence Engineering and Sciences Publicationen_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleInternational Journal of Innovative Technology and Exploring Engineering
dc.titleDevelopment of Ozone prediction model in urban areaen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS