TY - JOUR
T1 - Road traffic as an air pollutant contributor within an industrial park environment
AU - Azhari, Azliyana
AU - Latif, Mohd Talib
AU - Mohamed, Ahmad Fariz
N1 - Funding Information:
This research was supported by Institute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia and the Ministry of Higher Education ( FRGS/1/2015/WAB03/UKM/01/1 ). This study was also supported by Newton Ungku Omar grant ( XX-2017-002 ). Thanks to Dr Matthias Ketzel and the Department of Environmental Science, Aarhus University, Denmark; and Shah Alam City Council for advice on the sampling and study areas. Special thanks to the Malaysian Department of Environment for the air quality data; and Dr Rose Norman for proof reading this manuscript.
Publisher Copyright:
© 2018 Turkish National Committee for Air Pollution Research and Control
PY - 2018/7
Y1 - 2018/7
N2 - This study aims to understand the relationship of the composition of pollutants and road traffic volume in an industrial environment. Two sampling stations were selected and samples were taken at two points, 1 m and 100 m from the roadside for each station, comparing a working day to a non-working day. The concentration of particulate matter with diameters of less than 10 μm (PM10), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3) and the number of vehicle travelling the road on a site in an industrial area were monitored. The results show that the concentrations of pollutants at the sampling point 1 m from the roadside were significantly higher than at the sampling point 100 m from the roadside for PM10 and CO, while the opposite was observed for the concentration of O3 (p ≤.05). The levels PM10, CO and SO2 were significantly higher on a working day compared to a non-working day (p ≤.05). The number of vehicles on a working day and the concentration of PM10 and CO were significantly correlated with r = 0.62 and 0.81, while O3 showed a negative significant correlation r = −0.86 at the 0.05 level (2-tailed). The results demonstrate that the concentration of pollutants relates to the number of vehicles on the road and the distance from the road. Even though the selected sampling site is an industrial area, the majority of the pollutants detected were related to the road traffic activity.
AB - This study aims to understand the relationship of the composition of pollutants and road traffic volume in an industrial environment. Two sampling stations were selected and samples were taken at two points, 1 m and 100 m from the roadside for each station, comparing a working day to a non-working day. The concentration of particulate matter with diameters of less than 10 μm (PM10), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3) and the number of vehicle travelling the road on a site in an industrial area were monitored. The results show that the concentrations of pollutants at the sampling point 1 m from the roadside were significantly higher than at the sampling point 100 m from the roadside for PM10 and CO, while the opposite was observed for the concentration of O3 (p ≤.05). The levels PM10, CO and SO2 were significantly higher on a working day compared to a non-working day (p ≤.05). The number of vehicles on a working day and the concentration of PM10 and CO were significantly correlated with r = 0.62 and 0.81, while O3 showed a negative significant correlation r = −0.86 at the 0.05 level (2-tailed). The results demonstrate that the concentration of pollutants relates to the number of vehicles on the road and the distance from the road. Even though the selected sampling site is an industrial area, the majority of the pollutants detected were related to the road traffic activity.
KW - Industrial areas
KW - Major air pollutants
KW - Road side
KW - Traffic emission
UR - http://www.scopus.com/inward/record.url?scp=85040784277&partnerID=8YFLogxK
U2 - 10.1016/j.apr.2018.01.007
DO - 10.1016/j.apr.2018.01.007
M3 - Article
AN - SCOPUS:85040784277
VL - 9
SP - 680
EP - 687
JO - Atmospheric Pollution Research
JF - Atmospheric Pollution Research
SN - 1309-1042
IS - 4
ER -