Monsoonal differences and probability distribution of PM(10) concentration.
There are many factors that influence PM(10) concentration in the atmosphere. This paper will look at the PM(10) concentration in relation with the wet season (north east monsoon) and dry season (south west monsoon) in Seberang Perai, Malaysia from the year 2000 to 2004. It is expected that PM(10) will reach the peak during south west monsoon as the weather during this season becomes dry and this study has proved that the highest PM(10) concentrations in 2000 to 2004 were recorded in this monsoon. Two probability distributions using Weibull and lognormal were used to model the PM(10) concentration. The best model used for prediction was selected based on performance indicators. Lognormal distribution represents the data better than Weibull distribution model for 2000, 2001, and 2002. However, for 2003 and 2004, Weibull distribution represents better than the lognormal distribution. The proposed distributions were successfully used for estimation of exceedences and predicting the return periods of the sequence year.
Clean Air Research Group, Environmental and Sustainable Development Section, School of Civil Engineering, Universiti Sains Malaysia, Engineering Campus, Pulau Pinang, Malaysia. myfaizah@hotmail.com
Noor Faizah Fitri
NF
Md Yusof
Nor Azam
NA
Ramli
Ahmad Shukri
AS
Yahaya
Nurulilyana
N
Sansuddin
Nurul Adyani
NA
Ghazali
Wesam
W
Al Madhoun
D000393:Air Pollutants / Q000032:analysis; D004784:Environmental Monitoring; D016013:Likelihood Functions; D010316:Particle Size; D011336:Probability; D011891:Rain
D000393:Air Pollutants