Source Apportionment of PM2.5 and PM10 in Haikou

被引：0

作者：

Song, Na ^{[1
]}

Xu, Hong ^{[1
]}

Bi, Xiaohui ^{[1
]}

Wu, Jianhui ^{[1
]}

Zhang, Yufen ^{[1
]}

Yang, Haihang ^{[2
]}

Feng, Yinchang ^{[1
]}

机构：

[1] State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin

[2] Haikou Environmental Monitoring Center Station, Haikou

来源：

Research of Environmental Sciences | 2015年 / 28卷 / 10期

关键词：

Chemical mass balance (CMB); Haikou; PM[!sub]10[!/sub; PM[!sub]2.5[!/sub; Source apportionment;

D O I：

10.13198/j.issn.1001-6929.2015.10.02

中图分类号：

学科分类号：

摘要：

The pollution characteristics and sources of size-resolved particles were studied in a typical tropical coastal city, Haikou, China. PM2.5 and PM10 were collected at four air quality monitoring sites in spring and winter 2012.In order to estimate the source contributions, source samples were collected and chemical species were analyzed simultaneously. The chemical mass balance (CMB) receptor model was applied to apportion source contributions to ambient PM10 and PM2.5 using actual source profiles and ambient receptor measurements. The results showed that the seasonal variations of source contributions were distinctive, and spatial variations were perceptible. The major sources of PM10 and PM2.5 in winter were soil dust, vehicle exhaust, sulfates, and coal combustion, and the contribution ratios in PM10 and PM2.5 were 23.6%, 16.7%; 17.5%, 29.8%; 13.3%, 15.7%; and 13.0%, 15.3% respectively. While in spring, the dominant sources were vehicle exhaust, soil dust, cement dust, and sulfates, and the contribution ratios in PM10 and PM2.5 were 27.5%, 35.0%; 20.2%, 14.9%; 12.8%, 6.0%; and 9.5%, 10.5% respectively. In winter, most of the particulate matter was originated from the southern inland areas. The influence of regional transport for coal combustion and sulfates was more remarkable than for other source categories. ©, 2015, Editorial Department of Molecular Catalysis. All right reserved.

引用

页码：1501 / 1509

页数：8

共 36 条

[1]

Wu G., Hu W., Teng E., Et al., PM2.5 and PM10 pollution level in the four cities in China, China Enviornmental Seience, 19, 2, pp. 133-137, (1999)

[2]

Ren Z., Wan B., Su F., Et al., Several characteristics of atmospheric environmental quality in China at present, Research of Environmental Sciences, 17, 1, pp. 1-6, (2004)

[3]

Murillo J.H., Ramos A.C., Garcia F.A., Et al., Chemical composition of PM2.5 particles in Salamanca, Guanajuato Mexico: source apportionment with receptor models, Atmospheric Research, 107, pp. 31-41, (2012)

[4]

Dai S., Zhu T., Bai Z., Application and development of receptor models for source apportionment of airborne particulate matter, China Environmental Science, 15, 4, pp. 252-257, (1995)

[5]

Ostro B., Broadwin R., Green S., Et al., Fine particulate air pollution and mortality in nine California counties: results from CALFINE, Environmental Health Perspectives, 114, 1, pp. 29-33, (2006)

[6]

Ma Y., Chen R., Pan G., Et al., Fine particulate air pollution and daily mortality in Shenyang, China, Science of the Total Environment, 409, 13, pp. 2473-2477, (2011)

[7]

Karnae S., John K., Source apportionment of fine particulate matter measured in an industrialized coastal urban area of South Texas, Atmospheric Environment, 45, 23, pp. 3769-3776, (2011)

[8]

Bao Z., Feng Y., Jiao L., Et al., Characterization and source apportionment of PM2.5 and PM10 in Hangzhou, Environmental Monitoring in China, 26, 2, pp. 44-48, (2010)

[9]

Xiao Z., Bi X., Feng Y., Et al., Source apportionment of ambient PM10 and PM2.5 in urban area of Ningbo City, Research of Environmental Sciences, 25, 5, pp. 549-555, (2012)

[10]

Pancras J.P., Landis M.S., Norris G.A., Et al., Source apportionment of ambient fine particulate matter in Dearborn, Michigan, using hourly resolved PM chemical composition data, Science of the Total Environment, 448, 6, pp. 2-13, (2013)

← 1 2 3 4 →