Source apportionment and a novel approach of estimating regional contributions to ambient PM2.5in Haikou, China.
A novel approach was developed to estimate regional contributions to ambient PM2.5in Haikou, China. In this paper, the investigation was divided into two main steps. The first step: analysing the characteristics of the chemical compositions of ambient PM2.5, as well as the source profiles, and then conducting source apportionments by using the CMB and CMB-Iteration models. The second step: the development of estimation approaches for regional contributions in terms of local features of Haikou and the results of source apportionment, and estimating regional contributions to ambient PM2.5in Haikou by this new approach. The results indicate that secondary sulphate, resuspended dust and vehicle exhaust were the major sources of ambient PM2.5in Haikou, contributing 9.9-21.4%, 10.1-19.0% and 10.5-20.2%, respectively. Regional contributions to ambient PM2.5in Haikou in spring, autumn and winter were 22.5%, 11.6% and 32.5%, respectively. The regional contribution in summer was assumed to be zero according to the better atmospheric quality and assumptions of this new estimation approach. The higher regional contribution in winter might be mainly attributable to the transport of polluted air originating in mainland China, especially from the north, where coal is burned for heating in winter.
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
Baoshuang
B
Liu
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
Tingkun
T
Li
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
Jiamei
J
Yang
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China. Electronic address: envwujh@nankai.edu.cn.
Jianhui
J
Wu
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
Jiao
J
Wang
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
Jixin
J
Gao
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
Xiaohui
X
Bi
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
Yinchang
Y
Feng
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
Yufen
Y
Zhang
Haikou Environmental Protection Monitoring Station, Haikou, 570102, China.
Haihang
H
Yang
D000393:Air Pollutants / Q000032:analysis* / Q000737:chemistry*; D000397:Air Pollution / Q000032:analysis; D002681:China; D003031:Coal / Q000032:analysis; D004391:Dust / Q000032:analysis; D004784:Environmental Monitoring / Q000379:methods*; D008962:Models, Theoretical; D052638:Particulate Matter / Q000032:analysis* / Q000737:chemistry*; D012621:Seasons; D013431:Sulfates / Q000032:analysis; D001335:Vehicle Emissions / Q000032:analysis
D000393:Air Pollutants; D003031:Coal; D004391:Dust; D052638:Particulate Matter; D013431:Sulfates; D001335:Vehicle Emissions
CMB model; PM(2.5); Regional contribution; Source apportionment