merged

Analysis of Gaseous (CO and CO₂) in A Long Distance Buses in Different
Road Segment in Malaysia
Nur Suraya Binti Mustapa
Supervisor: Dr. Hajah Noor Zaitun Binti Yahaya
Bachelor of Technology (Environment)
School of Ocean Engineering
Universiti Malaysia Terengganu
The exposure to the high level of CO and CO₂ in a long hour can lead to respiratory
problems and could possibly lead to death. In this study, the concentrations of gaseous
and physical parameters (air flow, speed, relative humidity, temperature and number
of passengers) were measured in a long distance buses between Kuala Terengganu
to Ipoh, Malaysia. Each bus travelled for 7 to 8 hours per trip. The parameters were
measured by using Q-Trak TSI model 7565 Portable IAQ and Kanomax Climomaster
Model 6531. The data were analyzed using comprehensive software, open air and R
packages for the variability and statistical analysis. The Boosted Regression Tree (BRT)
algorithm model for CO and CO2 with learning rate 0.05 and 0.1, tree complexity 5,
and number of tree is 867 and 809, respectively. This proves that BRT is a reliable
technique to find the relationship between pollutants and its factor.
75 | 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