Pada masa kini, pencemaran udara merupakan masalah utama yang berlaku di Malaysia. Zarah terampai berdiameter kurang daripada 2.5μm (PM2.5) merupakan pencemaran utama semasa jerebu. Kajian ini dijalankan untuk mengenal pasti kecenderungan zarah halus (PM2.5) di USM Kampus Kejuruteraan semasa dan selepas jerebu. Data PM2.5 telah direkodkan setiap jam dengan menggunakan peralatan mudah alih E-BAM. Daripada statistik deskriptif, nilai purata kepekatan PM2.5 direkodkan semasa jerebu ialah 80.41 μg/m3 dan 13.91 μg/m3 selepas jerebu. Perbandingan diantara semasa dan selepas jerebu menunjukkan nilai kepekatan semasa jerebu adalah lebih tinggi berbanding selepas jerebu. Daripada taburan kebarangkalian semasa dan selepas jerebu, taburan yang terbaik dan bertepatan dengan data yang direkodkan adalah taburan Weibull dan Lognormal. Di samping itu, pengesahan 20% daripada data yang direkodkan semasa dan selepas jerebu boleh dipadankan dengan data Weibull dan Lognormal. Diramalkan pada bulan September hingga Disember 2016 yang akan datang, kepekatan PM2.5 yang tinggi 1171.20 jam akan berlaku sama seperti jerebu pada tahun 2015. Keputusan menunjukkan kepekatan yang tinggi semasa jerebu berbanding selepas jerebu. Justeru, taburan yang dicadangkan telah berjaya untuk meramalkan dan menilai kepekatan tinggi untuk tahun hadapan.
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Nowadays, air pollution is one major problem that occurs in Malaysia. Particulate matter with an aerodynamic diameter less than 2.5μm (PM2.5) is the main pollutants during high particulate event. This study was conducted to identify the trend of fine particles (PM2.5) in USM Engineering campus during and after the high particulate event. The hourly PM2.5 data were recorded by using portable E-BAM. From the descriptive statistics, the mean value of PM2.5 concentration recorded is 80.41 μg/m3 during high particulate event (HPE) and 13.91 μg/m3 during non-high particulate event (NHPE). The comparison between HPE and NHPE concentrations shows that the level PM2.5 concentration was higher during HPE compared to NHPE. From the probability distribution during HPE and NHPE, Weibull and Lognormal distributions are the best parameter distributions that fit the observed data respectively. In addition, the 20% validation from data observations can be fitted well with Weibull and Lognormal data during HPE and NHPE. It is predicted that for the next event during September until December 2016, 1171.20 hour high PM2.5 concentration will occur similar as in 2015 event. Based on analysis, HPE shows the highest concentration compared to NHPE. Hence, the proposed distribution was successfully used for estimation of exceedances and predicting the concentration for the next year.
The trend of fine particles (PM2.5) in USM engineering campus during and after the high particulate event / Nurnabila Huda Mohd Shohari