Air pollution from vehicular emission on a busy highway within an industrial area

Azliyana Azhari (P69639)

Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/515262

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DC Field	Value	Language
dc.contributor.advisor	Ahmad Fariz Mohamed, Prof. Madya Dr.
dc.contributor.author	Azliyana Azhari (P69639)
dc.date.accessioned	2023-10-16T08:29:18Z	-
dc.date.available	2023-10-16T08:29:18Z	-
dc.date.issued	2018-05-31
dc.identifier.other	ukmvital:105069
dc.identifier.uri	https://ptsldigital.ukm.my/jspui/handle/123456789/515262	-
dc.description	Road traffic network has grown in order to accommodate the demands of urbanization and industrialization. Despite the important contributions, road traffic has become one of the major source of air pollutants in cities and industrial area. This study aims to understand the relationship of the composition of major air pollutants and the road traffic volume in an industrial environment and to suggest a strategy to reduce air pollution from traffic flow within the industrial area. This study monitors the concentration of sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3) and particulate matter with diameters less than 10 μm (PM10) on site in the HiCom industrial area, Shah Alam. The sampling was conducted from 9th September to 24th October 2014, comparing a working day to a non-working day. Two sampling stations were selected and samples were taken at two points, 1 m and 100 m from the roadside for each stations. A long term air quality data monitoring from a nearest Department of Environment’s monitoring station of the year 2014 was also analyzed. OML-Highway model was used to calculate the real-world concentration of PM10, particulate matter with diameters less than 2.5 μm (PM2.5), particulate matter from exhaust (PMexh), CO, NOx, NO2, and O3 pollutants from traffic emission. The level of pollutants detected at the sampling area is significantly higher on a working day compared to a non-working day (p ≤ 0.05) for PM10, CO and SO2 at station 1 (1m). The long term monitoring analysis also shows that the diurnal pattern of PM10, CO and NO2 are closely related to the road traffic rush hour. The OML-Highway modelling shows that the mean concentration of PM10, CO, NOx, NO2 and O3 are ranging at 56.4 – 83.4 μg/m3, 998 – 1684 μg/m3, 22.0 – 376 μg/m3, 63.4 – 86.9 μg/m3, and 7.16 – 28.0 μg/m3 respectively. OML-highway modelled the concentration of pollutant to be higher at receptor points closer to the roadside compared to the receptor points 100 m away from the roadside except for O3 where the concentration is higher at receptor points further than the roadside. The result demonstrates that vehicular emission is closely related to the concentration of air pollutants in an industrial area. The OML-Highway model results and its visualization can be use as vital information for establishing road traffic sustainability indices for road traffic emission management. A sustainable road traffic management is needed to control the impact of air pollution from road traffic emission. This help to establish a better environment for the industrial areas and nearest urban population to enhance livability in the future.,“Certification of Master's/Doctoral Thesis” is not available,Ph.D.
dc.language.iso	eng
dc.publisher	UKM, Bangi
dc.relation	Institute for Environment and Development / Institut Alam Sekitar dan Pembangunan (LESTARI)
dc.rights	UKM
dc.subject	Automobiles -- Motors -- Exhaust gas
dc.subject	Air -- Pollution
dc.subject	Universiti Kebangsaan Malaysia -- Dissertations
dc.subject	Dissertations, Academic -- Malaysia
dc.title	Air pollution from vehicular emission on a busy highway within an industrial area
dc.type	Theses
dc.format.pages	137
dc.identifier.callno	TD886.5.A995 2018 tesis
dc.identifier.barcode	003712(2019)
Appears in Collections:	Institute for Environment and Development / Institut Alam Sekitar dan Pembangunan (LESTARI)

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