Nurulkamal MasseranAhmad Mahir RazaliKamarulzaman IbrahimMohd Talib Latif2024-05-102024-05-102016Masseran, 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.https://repoemc.ukm.my/handle/123456789/554The 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.Air pollution assessmentUnhealthyeventsGeneralized Pareto modelReturn periodModeling air quality in main cities of Peninsular Malaysia by using a generalized Pareto modelJournal