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An assessment of national pm10 monitoring network in Malaysia / Aidatul Akmal Dullah

An assessment of national pm10 monitoring network in malaysia _Aidatul Akmal Dullah_A9_2011_NI
Kini, pencemaran adalah satu isu penting yang menyebabkan kebimbangan pada masyarakat awam. Pembangunan pesat dalam bidang perindustrian turut menyebabkan peningkatan kesesakan lalu lintas terutamanya di kawasan yang terlibat. Sehubungan itu, kadar pencemaran udara turut meningkat terutamanya pencemar PM10. Kajian ini bertujuan mengkaji pencemar PM10 di lima stesen berbeza yang melibatkan stesen di kawasan perindustrian, perumahan dan kawasan pedalaman. Kajian hanya dilakukan bagi tahun 2006 dan 2007 sahaja. Perisian SPSS dan WRPlot View telah digunakan bagi memperoleh statistik deskriptif dan penyebaran angin bagi setiap stesen. Berdasarkan statistik, Nilai mencatatkan kepekatan PM10 yang tertinggi bagi kedua-dua tahun iaitu 231.750 µg/m3 pada tahun 2006 dan 123.580 µg/m3 pada tahun 2007. Kajian turut menunjukkan bahawa kawasan perindustrian merupakan penyumbang tertinggi bagi kepekatan PM10. Selain itu, perbandingan antara setiap kawasan industri dengan kawasan perumahan dan pedalaman turut menunjukkan keputusan yang hampir sama. Dari graf siri masa, ketiga-tiga kawasan industri turut menunjukkan bacaan puncak yang tinggi. Ini adalah berikutan dari peristiwa jerebu pada tahun 2006 dan faktor udara kering yang turut mempengaruhi kualiti udara pada masa tersebut. Kepekatan pencemar PM10 menjadi tinggi terutamanya pada monsun barat daya. Berdasarkan plot taburan angin, sumber pencemar yang berkemungkinan telah dikenal pasti. Kawasan perindustrian merupakan antara penyumbang terbesar pencemar, diikuti asap kenderaan dan pembakaran terbuka. Keputusan menunjukkan Perai mempunyai kepekatan PM10 yang rendah berbanding Pasir Gudang dan Nilai. Justeru, Perai telah dicadangkan sebagai stesen rujukan baru khusus buat kawasan perindustrian di Malaysia. ___________________________________________________________________________________ Recently, air pollution is one the most important issues of concern to the public. The growth in industrial areas directly increases the traffic density of that area. Hence it will increase the air pollution particularly PM10. This research investigates the concentration of PM10 for year 2006 and 2007 in five different areas that includes industrial, residential and background. SPSS and WRPlot view software were used to obtain the descriptive statistics and wind distribution for each station. From the descriptive statistics, Nilai station records the highest concentration for both years that is 231.750 µg/m3 in 2006 and 123.580 µg/m3 in 2007. It was found that industrial areas have contributed to the highest concentration on PM10. The comparison between each industrial station with background and residential station also shows the similar findings. From time series result, both three industrial stations show the peak value especially during 2006. This is due to short period of haze event in 2006, which affects the air quality during that year. Many factors influence PM10 concentration in the atmosphere. One of the main factors is seasonal variations. Mostly, maximum concentration and highest peak occur during southwest monsoon due to dry weather period. From the wind distribution, the possible sources of pollutant were determined. Industrial areas were the major sources of pollutant, followed by emission from vehicles, power plant and open burning activities. Based on the analysis, Perai station shows the lowest concentration compared to Nilai and Pasir Gudang. Hence, it was proposed to be the reference station for industrial area.
Contributor(s):
Aidatul Akmal Dullah - Author
Primary Item Type:
Final Year Project
Language:
English
Subject Keywords:
air pollution ; traffic ; weather
First presented to the public:
5/1/2011
Original Publication Date:
3/11/2020
Previously Published By:
Universiti Sains Malaysia
Place Of Publication:
School of Civil Engineering
Citation:
Extents:
Number of Pages - 94
License Grantor / Date Granted:
  / ( View License )
Date Deposited
2020-03-11 16:23:34.54
Submitter:
Nor Hayati Ismail

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