Characterization of VOCs Concentrations Using Mobile Measurement and Source Apportionment
Date Issued
2015
Date
2015
Author(s)
Li, Yi-Tzu
Abstract
Volatile organic compounds (VOCs) are a main group of air pollutants. This study utilized 18months VOCs data from April, 2011 to Septemper, 2012 which was measured by a mobile platform of the Taiwan EPA. The aim of this study was to identify and apportion the source of air pollutants in Yun Lin as well as the distribution of the factor effect from different source. In addition, meteorological data was also used to assist the identification and apportionment of the pollution for each site. According to the modeling results of positive matrix factorization (PMF), this study identified 7 sources which were: Factor1 petrochemical manufacturing processes, Factor2 gasoline evaporation, Factor3 natural gas leakage,Factor4 mixture of long transportation and biomass burning,Factor5 diesel combustion,Factor6 vehicle exhaust emissions, and Factor7 solvent usage. Measurements at different sites through the monitoring vehicle found that the main contributions from the pollution sources varied from each location. At Site1、Site3、Site6, sources were mainly related to solvent usage; At Site2, the source came from gasoline evaporation; At Site4、Site5, sources came from mixture of long transport and biomass burning. Furthermore, this research discussed about wind sectors、week variation and temperature these three different impact factors. The result showed that Factor3 (natural gas leakage) and Factor7 (solvent usage) were apparently affected by these three factors. The limitation of our study: 1.Measured sites were below normal and unevenly distributed. 2. Lack of discussion about seasons. 3. Studies did not measure simultaneously. 4. Know much about activity for the local environment. 5. There will be a similar situation when pollution parsing component mixed sources. 6. Identify possible sources of pollution were also affected by the petrochemical industry, but there was no way to exclude. 7. Need to use central site information to adjust the time. For similar studies in the future, suggestion may be amended several study designs so that the results tend to be more completed.
Subjects
Source apportionment
mobile platform
PAMS
Type
thesis
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