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A Study On Quantitative Source Apportionment Of Atmospheric Particulate In Qingdao

Posted on:2007-04-05Degree:MasterType:Thesis
Country:ChinaCandidate:Y FanFull Text:PDF
GTID:2121360185990903Subject:Marine Chemistry
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The pollution of particulate in municipal atmospheric environment is very heavy in China, and the concentrations of atmospheric particulate in more than 2/3 cities are above the national standard. Compared with most other cities, the atmospheric quality in Qingdao is better, but atmospheric particulate is still one of the main pollution sources. Quantitative source apportionment of atmospheric particulate is important for providing the basis of future research into the processes that control particulate fate in Qingdao. Information accrued will also aid those parties responsible for the stewardship of air pollution policy-making in Qingdao.In this thesis, the progress in researches on atmospheric particulate matter was extensively reviewed first, the chemical mass balance receptor model and its application in source apportionment of pollutants, as well as the corresponding software CMB7.0 were then described in detail.On these bases, the source apportionment of atmospheric particulate and polycyclic aromatic hydrocarbons(PAHs) in particulate in Qingdao was performed by using data collected from1995 to 1996 and in 2002. Major contents and conclusions of this thesis are as followed.â‘´By analyzing the concentration graphs of elements, and the evaluation of the goodness of model-fitting, a better combination of sources and species taking into account for fitting was chosen. The sources taking into account include ground dust, construction dust, steel smelt, traffic emission and marine aerosol, while elements chosen for model-fitting include Na, Mg, Al, K, Ca, Mn, Fe, Zn and Pb. This combination yields the best fitting result. Because of lack of fitting species that are able to distinguish the similar sources, coal combustion was eliminated during the calculation.
Keywords/Search Tags:atmospheric particulate, receptor model, chemical mass balance, quantitative source apportionment, Qingdao
PDF Full Text Request
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