TY - JOUR
T1 - Concentrations and sources of non-methane hydrocarbons (NMHCs) from 2005 to 2013 in Hong Kong: A multi-year real-time data analysis
AU - Ou, Jiamin
AU - Guo, Hai
AU - Zheng, Junyu
AU - Cheung, Kalam
AU - Louie, Peter K.K.
AU - Ling, Zhenhao
AU - Wang, Dawei
PY - 2015/2/1
Y1 - 2015/2/1
N2 - To understand the long-term variations of nonmethane hydrocarbons (NMHCs) and their emission sources, real-time speciated NMHCs have been monitored in Hong Kong since 2005. Data analysis showed that the concentrations of C3-C5and C6-C7alkanes slightly increased from 2005 to 2013at a rate of 0.0015 and 0.0005μgm-3yr-1(p<0.05), respectively, while aromatics decreased at a rate of 0.006μgm-3yr-1(p<0.05). Positive Matrix Factorization (PMF) model was applied to identify and quantify the NMHC sources. Vehicular exhaust, gasoline evaporation and liquefied petroleum gas (LPG) usage, consumer product and printing, architectural paints, and biogenic emissions were identified and on average accounted for 20.2±6.2%, 25.4±6.3%, 32.6±5.8%, 21.5±4.5%, and 3.3±1.5% of the ambient NMHC concentrations, respectively. From 2005 to 2013, the contributions of both traffic-related sources and solvent-related sources showed no significant changes, different from the trends in emission inventory. On O3episode days dominated by local air masses, the increase ratio of NMHC species from non-episode to episode days was found to be a natural function of the reactivity of NMHC species, suggesting that photochemical reaction would significantly change the NMHCs composition between emission sources and the receptors. Effect of photochemical reaction loss on receptor-oriented source apportionment analysis needs to be quantified in order to identify the NMHCs emission sources on O3episode days.
AB - To understand the long-term variations of nonmethane hydrocarbons (NMHCs) and their emission sources, real-time speciated NMHCs have been monitored in Hong Kong since 2005. Data analysis showed that the concentrations of C3-C5and C6-C7alkanes slightly increased from 2005 to 2013at a rate of 0.0015 and 0.0005μgm-3yr-1(p<0.05), respectively, while aromatics decreased at a rate of 0.006μgm-3yr-1(p<0.05). Positive Matrix Factorization (PMF) model was applied to identify and quantify the NMHC sources. Vehicular exhaust, gasoline evaporation and liquefied petroleum gas (LPG) usage, consumer product and printing, architectural paints, and biogenic emissions were identified and on average accounted for 20.2±6.2%, 25.4±6.3%, 32.6±5.8%, 21.5±4.5%, and 3.3±1.5% of the ambient NMHC concentrations, respectively. From 2005 to 2013, the contributions of both traffic-related sources and solvent-related sources showed no significant changes, different from the trends in emission inventory. On O3episode days dominated by local air masses, the increase ratio of NMHC species from non-episode to episode days was found to be a natural function of the reactivity of NMHC species, suggesting that photochemical reaction would significantly change the NMHCs composition between emission sources and the receptors. Effect of photochemical reaction loss on receptor-oriented source apportionment analysis needs to be quantified in order to identify the NMHCs emission sources on O3episode days.
KW - Multi-year trends
KW - NMHCs
KW - Photochemical reaction loss
KW - PMF
KW - Source apportionment
UR - http://www.scopus.com/inward/record.url?scp=84919797615&partnerID=8YFLogxK
U2 - 10.1016/j.atmosenv.2014.12.048
DO - 10.1016/j.atmosenv.2014.12.048
M3 - Journal article
SN - 1352-2310
VL - 103
SP - 196
EP - 206
JO - Atmospheric Environment
JF - Atmospheric Environment
ER -