Modelling of PM 10 concentration for industrialized area in Malaysia: A case study in Shah Alam
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2016
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my.unimap-411522016-03-19T04:10:52Z Modelling of PM 10 concentration for industrialized area in Malaysia: A case study in Shah Alam Norazian, Mohamed Noor Mohd Mustafa, Al Bakri Abdullah Tan, Cheng Yau Nor Azam, Ramli Ahmad Shukri, Yahaya Noor Faizah Fitri, Md. Yusof norazian@unimap.edu.my Exceedences Particulate matter Performance indicators Probability distributions Return period Link to publisher's homepage at http://www.journals.elsevier.com In Malaysia, the predominant air pollutants are suspended particulate matter (SPM) and nitrogen dioxide (NO 2). This research is on PM 10 as they may trigger harm to human health as well as environment. Six distributions, namely Weibull, log-normal, gamma, Rayleigh, Gumbel and Frechet were chosen to model the PM 10 observations at the chosen industrial area i.e. Shah Alam. One-year period hourly average data for 2006 and 2007 were used for this research. For parameters estimation, method of maximum likelihood estimation (MLE) was selected. Four performance indicators that are mean absolute error (MAE), root mean squared error (RMSE), coefficient of determination (R 2) and prediction accuracy (PA), were applied to determine the goodness-of-fit criteria of the distributions. The best distribution that fits with the PM 10 observations in Shah Alamwas found to be log-normal distribution. The probabilities of the exceedences concentration were calculated and the return period for the coming year was predicted from the cumulative density function (cdf) obtained from the best-fit distributions. For the 2006 data, Shah Alam was predicted to exceed 150 μg/m 3 for 5.9 days in 2007 with a return period of one occurrence per 62 days. For 2007, the studied area does not exceed the MAAQG of 150 μg/m 3. 2016-03-19T04:09:21Z 2016-03-19T04:09:21Z 2011 Article Physics Procedia, vol.22, 2011, pages 318-324 1875-3892 1875-3884 (online) http://www.sciencedirect.com/science/article/pii/S1875389211007048 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41152 doi:10.1016/j.phpro.2011.11.050 en Elsevier BV |
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English |
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Exceedences Particulate matter Performance indicators Probability distributions Return period |
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Exceedences Particulate matter Performance indicators Probability distributions Return period Norazian, Mohamed Noor Mohd Mustafa, Al Bakri Abdullah Tan, Cheng Yau Nor Azam, Ramli Ahmad Shukri, Yahaya Noor Faizah Fitri, Md. Yusof Modelling of PM 10 concentration for industrialized area in Malaysia: A case study in Shah Alam |
| description |
Link to publisher's homepage at http://www.journals.elsevier.com |
| author2 |
norazian@unimap.edu.my |
| author_facet |
norazian@unimap.edu.my Norazian, Mohamed Noor Mohd Mustafa, Al Bakri Abdullah Tan, Cheng Yau Nor Azam, Ramli Ahmad Shukri, Yahaya Noor Faizah Fitri, Md. Yusof |
| format |
Article |
| author |
Norazian, Mohamed Noor Mohd Mustafa, Al Bakri Abdullah Tan, Cheng Yau Nor Azam, Ramli Ahmad Shukri, Yahaya Noor Faizah Fitri, Md. Yusof |
| author_sort |
Norazian, Mohamed Noor |
| title |
Modelling of PM 10 concentration for industrialized area in Malaysia: A case study in Shah Alam |
| title_short |
Modelling of PM 10 concentration for industrialized area in Malaysia: A case study in Shah Alam |
| title_full |
Modelling of PM 10 concentration for industrialized area in Malaysia: A case study in Shah Alam |
| title_fullStr |
Modelling of PM 10 concentration for industrialized area in Malaysia: A case study in Shah Alam |
| title_full_unstemmed |
Modelling of PM 10 concentration for industrialized area in Malaysia: A case study in Shah Alam |
| title_sort |
modelling of pm 10 concentration for industrialized area in malaysia: a case study in shah alam |
| publisher |
Elsevier BV |
| publishDate |
2016 |
| url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41152 |
| _version_ |
1643799595352850432 |
| score |
13.214268 |