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Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/578152
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dc.contributor.authorMohamad N. S (UITM)
dc.contributor.authorDeni S. M (UITM)
dc.contributor.authorUl-Saufie A. Z (UITM)
dc.date.accessioned2023-11-06T02:58:46Z-
dc.date.available2023-11-06T02:58:46Z-
dc.date.issued2018-01
dc.identifier.issn0128-7680
dc.identifier.otherukmvital:98141
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/578152-
dc.descriptionPM10 has been identified as being a common problem in Malaysia and many other countries all over the world. A Markov chain probability model is found to fit the average daily PM10 concentrations data of urban station (Shah Alam) and background area station (Jerantut) in Malaysia. This study aims to identify the occurrence of polluted and non-polluted days affected by PM10 concentrations based on data for 12 years’ period (2002-2013). The first order transition probability matrix of a Markov chain model and a two-state Markov chain, which are polluted days (1) and non-polluted days (0), were used for this purpose. The threshold value used in this study is referring to WHO 2006 guidelines (50?gm-3). Results of the analysis shows that there is a high probability that the next day event depends on what has happened on the previous day. The recurrence of the polluted day for Shah Alam is 4-5 days, while 2-3 days for Jerantut. By fitting the first order of Markov chain model, the results show that the higher order of Markov chain model is needed in order to get the best fitted distribution of polluted events at these two monitoring stations. Thus, the prediction of PM10 concentrations event can be made by considering the conditions of the previous day event.
dc.language.isoen
dc.publisherUniversiti Putra Malaysia Press
dc.relation.haspartPertanika Journals
dc.relation.urihttp://www.pertanika.upm.edu.my/regular_issues.php?jtype=2&journal=JST-26-1-1
dc.rightsUKM
dc.subjectMarkov chain model
dc.subjectPM10 concentrations
dc.subjectPolluted days
dc.subjectNon-polluted days
dc.subjectOccurrence
dc.titleApplication of the first order of markov chain model in describing the pm10 occurrences in Shah Alam and Jerantut, Malaysia
dc.typeJournal Article
dc.format.volume26
dc.format.pages367-378
dc.format.issue1
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