Identification, Apportionment, and Photochemical Reactivity of Non-methane Hydrocarbon Sources in Busan, Korea

被引:15
作者
Choi, Eunhwa [1 ]
Heo, Jong-Bae [1 ]
Hopke, Philip K. [2 ,3 ]
Jin, Byong-Bok [4 ]
Yi, Seung-Muk [1 ]
机构
[1] Seoul Natl Univ, Dept Environm Hlth, Grad Sch Publ Hlth, Seoul 151742, South Korea
[2] Clarkson Univ, Dept Chem & Biomol Engn, Potsdam, NY 13699 USA
[3] Clarkson Univ, Ctr Air Resource Engn & Sci, Potsdam, NY 13699 USA
[4] Korea Environm Corp, Inchon 404708, South Korea
关键词
Conditional probability function (CPF); Ozone formation; Positive matrix factorization(PMF); Potential source contribution function (PSCF); Non-methane hydrocarbon (NMHC); VOLATILE ORGANIC-COMPOUNDS; POSITIVE MATRIX FACTORIZATION; CONDITIONAL-PROBABILITY FUNCTIONS; CHEMICAL MASS-BALANCE; SOURCE REGIONS; HOUSTON; EMISSIONS; TEXAS; AEROSOL; MODELS;
D O I
10.1007/s11270-010-0459-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Hourly concentrations of non-methane hydrocarbons (NMHCs) recorded between June and August 2006, at two monitoring sites (Gijang and Jin) in Busan were analyzed to examine the characteristics and photochemical reactivity of NMHC sources. The two sites represent urban (Jin) and suburban (Gijang) Busan, which is a typical Korean city. Positive matrix factorization (PMF), applied to identify and apportion the sources of NMHCs, revealed nine sources for Gijang and ten sources for Jin. To explore the contribution of each NMHC source to ozone formation at the two sampling sites, the ozone formation potential was estimated for each source. The largest contributors to ozone formation were sources characterized by 1,2,3-trimethylbenzene (26.4%) at Gijang and by toluene, ethylbenzene, and xylenes (22.5%) at Jin, which were composed mostly of heavy hydrocarbons and aromatics. Secondary sources included two coating sources (20.9%, 12.2%) and vehicle exhaust (10.3%) at Gijang and a source represented by toluene (17.4%), vehicle exhaust (15.9%), and a coating-2 source (9.6%) at Jin. Conditional probability function (CPF) and potential source contribution function (PSCF) analysis methods were used to identify the directions of local sources and to locate potential source regions, respectively. The CPF and PSCF results agreed well for the majority of sources resolved by PMF and thus were very useful in identifying the major sources contributing to ozone formation at the two study sites.
引用
收藏
页码:67 / 82
页数:16
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