title: The effects of wind speed on the relative relationships between different sized-fractions of airborne particles.
abstract: The concentrations of three different size fractions of particulate matter (PM) including PM2.5, PM10, and TSP were determined continuously at hourly intervals from four different sites in Seoul, Korea during the spring of 2001. To learn the effects of wind speed change on PM fractionation, the entire data sets were initially sorted into three particle fractions such as: fine (F: PM2.5), coarse (C: PM10-PM2.5), and giant (G: TSP-PM10). The inter-fraction relationships of PM were then explored by linear regression analysis of the data divided into four wind speed regimes. The results of this analysis, when examined in terms of either relative dominance between different PM fractions (i.e., in terms of their slope values) or strength of correlations, indicate the existence of diverse inter-fraction patterns. Most importantly, the physical influence of wind speed is seen to be reflected most efficiently between fine and coarse particle fractions, as the relative contribution of coarse fraction to the mass concentration of total particles (e.g., PM10) changes proportionally with changes in wind speed. However, such systematic patterns decrease noticeably between fine and giant fractions, as they can be affected more sensitively by such factors as the nature of their sources or the surrounding environmental conditions. The results of our comparative analysis thus confirm that wind speed is a useful barometer to distinguish and predict the behavior of different particle fractions in relation to each other.
authors.affiliation: Department of Earth and Environmental Sciences, Sejong University, 98 Goon Ja Dong, Gwang Jin Goo, Seoul 143-747, Korea. khkim@sejong.ac.kr
authors.forename: Ki-Hyun
authors.initials: KH
authors.lastname: Kim
authors.forename: Min-Young
authors.initials: MY
authors.lastname: Kim
authors.forename: S M
authors.initials: SM
authors.lastname: Hong
authors.forename: Y H
authors.initials: YH
authors.lastname: Youn
authors.forename: S-J
authors.initials: SJ
authors.lastname: Hwang
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D004777:Environment; D004784:Environmental Monitoring / Q000706:statistics & numerical data*; D007723:Korea; D016014:Linear Models; D010316:Particle Size; D014919:Wind
chemical_list: D000393:Air Pollutants