Publication:
INPUT VARIABLE SELECTION FOR HOURLY OZONE (O3) CONCENTRATION PREDICTION IN URBAN AREA

dc.citedby1
dc.contributor.authorNapi N.N.L.M.en_US
dc.contributor.authorAbdullah S.en_US
dc.contributor.authorMansor A.A.en_US
dc.contributor.authorAhmed A.N.en_US
dc.contributor.authorMansor W.N.W.en_US
dc.contributor.authorIsmail M.en_US
dc.contributor.authorid57224902975en_US
dc.contributor.authorid56509029800en_US
dc.contributor.authorid57211858557en_US
dc.contributor.authorid57214837520en_US
dc.contributor.authorid56896999100en_US
dc.contributor.authorid57210403363en_US
dc.date.accessioned2023-05-29T09:12:07Z
dc.date.available2023-05-29T09:12:07Z
dc.date.issued2021
dc.description.abstractThe higher emission of the air pollutants from motor vehicles in urban areas increases the formation of ozone in the atmosphere and give a negative impacts on human health, especially. The multicollinearity becomes a problem as many parameters were considered in the development of air pollutant prediction models. The aimed of the study is to develop the best O3,t+1 prediction model in Terengganu�s urban areas to help local authorities by providing early information about the air quality level. The air pollutants and meteorological data from the year 2010 to 2013 were obtained from the Department of Environment, Malaysia. There are three different models were developed based on three different input selection method. MLR3 had highest correlation coefficient R2, 0.411 compared with MLR1 (0.382) and MLR2 (0.399). Hence, it was selected as the best-fitted model to predict the O3 concentration in Terengganu�s urban areas. �2006-2021 Asian Research Publishing Network (ARPN). All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage164
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85101790892
dc.identifier.spage157
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85101790892&partnerID=40&md5=77cb2d3e1aeaf9dd8350de42b87b0e57
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26569
dc.identifier.volume16
dc.publisherAsian Research Publishing Networken_US
dc.sourceScopus
dc.sourcetitleARPN Journal of Engineering and Applied Sciences
dc.titleINPUT VARIABLE SELECTION FOR HOURLY OZONE (O3) CONCENTRATION PREDICTION IN URBAN AREAen_US
dc.typeArticleen_US
dspace.entity.typePublication
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