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Author Zhou, Liming
Title Advanced receptor model research for Pittsburgh Air Quality Study (PAQS)
book jacket
Descript 132 p
Note Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2518
Adviser: Philip K. Hopke
Thesis (Ph.D.)--Clarkson University, 2004
To quantify the sources that are influencing the particulate matter (PM) level in Pittsburgh area, size distribution and composition data characterizing the airborne particles measured by the Pittsburgh Air Quality Study (PAQS) were used as inputs to multivariate receptor models
PMF2 was used for solving the bilinear model with particle size distribution data. For short periods, the transition of the size distribution from the source to the receptor can be thought close to constant and the assumptions of the multivariate receptor models are satisfied. For the nucleation events followed with particle growth events, those data representing particle growth were excluded. Five factors were separated. Two factors, local traffic and nucleation are clear sources but each of the other factors appears to be a mixture of several sources that cannot be further separated
A new method has been developed to utilize chemical composition data with multiple time resolution. The source information in the high time resolution have been kept in the source contributions without averaging or interpolation. Wind direction data were used in combination with source contributions to locate the sources, which benefits from the high temporal resolution. Six sources were identified, secondary sulfate, secondary nitrate, crustal, traffic, steel mill and coke plant
The relationships between the size distribution data and the composition data were investigated by Partial Least Square (PLS). Three latent variables summarized both data sets and proved the linearity between the two data sets. The three latent variables were associated with traffic and local combustion sources, secondary aerosol, and coal-fired power plants, respectively. The size distribution, particle composition and gas composition data were combined and analyzed by PMF. Eleven sources were identified: secondary nitrate I and II, remote traffic, secondary sulfate, lead, diesel traffic, coal-fired power plant, steel mill, nucleation, local traffic and coke plant
School code: 0049
Host Item Dissertation Abstracts International 65-05B
Subject Engineering, Chemical
Environmental Sciences
Engineering, Environmental
Alt Author Clarkson University
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