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Source Apportionment of Particulate Matter PM2.5 Using PCA Receptor Model

Bigdeli, Mostafa | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 48201 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Arhami, Mohammad
  7. Abstract:
  8. Particulate matter (PM) with aerodynamic diameter less than 2.5 micron (PM2.5) is cause of dangerous diseases, like respiratory and cardiovascular and it is one of the main causes of poor air quality in the city of Tehran. Despite the importance of the issue, there is no complete information on the chemical components of the PM2.5 in Tehran. In this study, 24 samples of particulate matter PM2.5 collected during one year in each 6 days at the station of Air pollution monitoring station related to Air Quality Control Company (AQCC) at the Sharif University of Technology. Chemical analysis was performed on samples to determine the composition of particulate matter include organic carbon, elemental carbon, organic materials, metals and ions. PCA model run based on the resulting data, to source apportionment of PM in Tehran and identified 5 Factor include crustal elements, industrial lead source, secondary aerosols, other industrial sources and mobile sources (diesel/gasoline vehicles) respectively, as possible emission sources of chemical component in PM2.5. By applying chemical mass closure (CMC) on the results, the chemical components identified which included in PM. According to the results of this method, 8 major chemical components identified as the main comprising components of PM2.5 mass. These components in order to their contributions were organic matter (28%) crustal elements (13%), non-salt sulfate (11%), elemental carbon (9%), other elements (6%), ammonium (5%), nitrate (2%), sea salt (1%) and about 25% of the reconstructed mass was unidentified. Knowing these compounds has significant importance on relation of particles to the sources, determining their adverse effects and applying appropriate strategies to control this pollutant
  9. Keywords:
  10. Tehran ; Sources Apportionment ; Principal Component Analysis (PCA) ; Air Particulate Matter ; Emission Sources ; Organic Compounds

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