Modeling air quality in main cities of Peninsular Malaysia by using a generalized Pareto model

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dc.contributor.authorNurulkamal Masseran
dc.contributor.authorAhmad Mahir Razali
dc.contributor.authorKamarulzaman Ibrahim
dc.contributor.authorMohd Talib Latif
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-10T03:25:23Z
dc.date.available2024-05-10T03:25:23Z
dc.date.issued2016
dc.description.abstractThe air pollution index (API) is an important figure used for measuring the quality of air in the environment. The API is determined based on the highest average value of individual indices for all the variables which include sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3), and suspended particulate matter (PM10) at a particular hour. API values that exceed the limit of 100 units indicate an unhealthy status for the exposed environment. This study investigates the risk of occurrences of API values greater than 100 units for eight urban areas in Peninsular Malaysia for the period of January 2004 to December 2014.
dc.identifier.citationMasseran, N., Razali, A. M., Ibrahim, K., & Latif, M. T. (2016). Modeling air quality in main cities of Peninsular Malaysia by using a generalized Pareto model. Environmental monitoring and assessment, 188, 1-12.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/554
dc.languageen
dc.publisherElsevier
dc.publisher.alternativeScience of The Total Environment
dc.subjectAir pollution assessment
dc.subjectUnhealthyevents
dc.subjectGeneralized Pareto model
dc.subjectReturn period
dc.titleModeling air quality in main cities of Peninsular Malaysia by using a generalized Pareto model
dc.typeJournal

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