Development of source profiles and their application in source apportionment of PM 2.5 in Xiamen, China

Seasonal and spatial distribution of PM 2.5 and its component were shown. Local source profiles of major PM 2.5 sources were developed. Source apportionment was conducted using CMB model. Inorganic secondary components is the biggest contribution at Xiamen. Ambient PM 2.5 samples were collected at f...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Frontiers of environmental science & engineering 2016, Vol.10 (5), p.17
Hauptverfasser: Zhang, Ningning, Zhuang, Mazhan, Tian, Jie, Tian, Pengshan, Zhang, Jieru, Wang, Qiyuan, Zhou, Yaqing, Huang, Rujin, Zhu, Chongshu, Zhang, Xuemin, Cao, Junji
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Seasonal and spatial distribution of PM 2.5 and its component were shown. Local source profiles of major PM 2.5 sources were developed. Source apportionment was conducted using CMB model. Inorganic secondary components is the biggest contribution at Xiamen. Ambient PM 2.5 samples were collected at four sites in Xiamen, including Gulangyu (GLY), Hongwen (HW), Huli (HL) and Jimei (JM) during January, April, July and October 2013. Local source samples were obtained from coal burning power plants, industries, motor vehicles, biomass burning, fugitive dust, and sea salt for the source apportionment studies. The highest value of PM 2.5 mass concentration and species related to human activities (SO 4 2-, NO 3 -, Pb, Ni, V, Cu, Cd, organic carbon (OC) and elemental carbon (EC)) were found in the ambient samples from HL, and the highest and lowest loadings of PM 2.5 and its components occurred in winter and summer, respectively. The reconstructed mass balance indicated that ambient PM 2.5 consisted of 24% OM (organic matter), 23% sulfate, 14% nitrate, 9% ammonium, 9% geological material, 6% sea salt, 5% EC and 10% others. For the source profiles, the dominant components were OC for coal burning, motor vehicle, biomass burning and sea salt; SO 4 2- for industry; and crustal elements for fugitive dust. Source contributions were calculated using a chemical mass balance (CMB) model based on ambient PM 2.5 concentrations and the source profiles. GLY was characterized by high contributions from secondary sulfate and cooking, while HL and JM were most strongly affected by motor vehicle emissions, and biomass burning and fugitive dust, respectively. The CMB results indicated that PM 2.5 from Xiamen is composed of 27.4% secondary inorganic components, 20.8% motor vehicle emissions, 11.7% fugitive dust, 9.9% sea salt, 9.3% coal burning, 5.0% biomass burning, 3.1% industry and 6.8% others.
ISSN:2095-2201
2095-221X
DOI:10.1007/s11783-016-0879-1