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Analysis of Particulate Matter (PM10 & PM2.5) Concentration through
Different Road Segment for Long Journey Buses in Malaysia using Boosted
Regression Trees (BRT)
Nurulsafinas binti Abdul Aziz
Supervisor: Dr. Hjh. Noor Zaitun binti Haji Yahaya
Bachelor of Technology (Environment)
School of Ocean Engineering
Universiti Malaysia Terengganu
The aim of this study is to analyze the exposure of air pollutant to the bus driver and
passenger in long journey buses between Kuala Terengganu to Ipoh, Malaysia by
measuring concentration of particulate matter and physical parameter (air flow, speed,
relative humidity, temperature and number of passengers). Each coaches travelled
averaged between 7-8 hour journey mostly used motorways route that lift passengers.
The physical parameters and pollutants data were measured by using TSI Dustrak
8530, Q-Trak TSI model 7565, IAQ Monitor and Kanomax Climomaster. The data were
analysed using a comprehensive software an open-air R-Software and its packages
for the variability and statistical analysis. The Boosted Regression Tree (BRT)
algorithm model for PM10 and PM2.5 with learning rate 0.01 and 0.05, tree complexity
5, and number of tree 1184 and 700. It was found that the major relative influence
for this study are temperature (32.44%), relative humidity (22.19%), air flow
(10.48%) and speed (10.48%).
84 | U M T U N D E R G R A D U A T E R E S E A R C H D A Y 2019