Comparative analysis of the chemical characteristics and sources of fine atmospheric particulate matter (PM2.5) at two sites in Changzhou, China

被引:13
|
作者
Tao, Ye [1 ]
Yuan, Yuan [1 ]
Cui, Yaojia [1 ]
Zhu, Longwei [1 ]
Zhao, Zhuzi [1 ]
Ma, Shuaishuai [1 ]
Ye, Zhaolian [1 ]
Ge, Xinlei [2 ]
机构
[1] Jiangsu Univ Technol, Coll Chem & Environm Engn, Changzhou 213001, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Atmospher Environm & Equip, Sch Environm Sci & Engn, Jiangsu Key Lab Atmospher Environm Monitoring & P, Nanjing 210044, Peoples R China
基金
中国国家自然科学基金;
关键词
SP-AMS; Chemical components; Water-soluble organic aerosol; Industrial region; Positive matrix factorization (PMF); POSITIVE MATRIX FACTORIZATION; AEROSOL MASS-SPECTROMETRY; SOURCE APPORTIONMENT; CARBONACEOUS AEROSOLS; ORGANIC-COMPOUNDS; SEASONAL-VARIATION; ELEMENTAL CARBON; PARTICLES PM2.5; AMBIENT PM2.5; RIVER DELTA;
D O I
10.1016/j.apr.2021.101124
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, PM2.5 and its chemical components were compared at an industrial site and a suburban site in Changzhou, China, during the winter of 2016. The average PM2.5 concentration was higher at the industrial site (113.06 +/- 64.74 mu g/m(3)) than that at the suburban site (84.75 +/- 41.76 mu g/m(3)), which suggests that severe pollution with higher emissions occurred in the industrial region. The ion balance indicated that PM2.5 was weakly acidic and neutral at the suburban and industrial sites, respectively. Water-soluble inorganic ions (WSIIs) were the largest contributor to PM2.5 (suburban 49.8% vs. industrial 36.0%), and carbonaceous components comprised a significant fraction (approximately 30%) of ambient PM2.5 Correlations between water-soluble organic carbon (WSOC) and eight carbon fractions showed secondary formation, and biomass burning had a significant impact on the carbonaceous species. The nitrogen and sulfur oxidation ratios exceeded 0.10, which further implied the likelihood of secondary transformation. Thirteen elements comprised similar to 3.0% of the PM2.5 mass at both sites. Soot-particle aerosol mass spectrometry (SP-AMS) coupling positive matrix factorization (PMF) was used to characterize the chemical composition and evaluate the sources of water-soluble organic aerosols (WSOA). The results showed that the WSOA originated from three sources. The PMF model identified six sources of PM2.5, including secondary aerosols, biomass burning, traffic, soil dust, coal combustion, and road dust (industrial emissions), with mass contributions of 45.1% (38.3%), 18.7% (14.0%), 6.4% (15.9%), 13.8% (8.7%), 7.3% (13.3%), and 8.7% (9.6%) at the suburban (industrial) site. To the best of our knowledge, this is the first study to comprehensively study the chemical characteristics and source apportionment of PM2.5 in suburban/industrial regions.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Removal of fine particulate matter (PM2.5) via atmospheric humidity caused by evapotranspiration
    Ryu, Jeongeun
    Kim, Jeong Jae
    Byeon, Hyeokjun
    Go, Taesik
    Lee, Sang Joon
    ENVIRONMENTAL POLLUTION, 2019, 245 : 253 - 259
  • [22] Chemical characterization and source apportionment of atmospheric fine particulate matter (PM2.5) at an urban site in Astana, Kazakhstan
    Ormanova, Gulden
    Hopke, Philip K.
    Dhammapala, Ranil
    Ozturk, Fatma
    Shah, Dhawal
    Torkmahalleh, Mehdi Amouei
    ATMOSPHERIC POLLUTION RESEARCH, 2025, 16 (01)
  • [23] Spatial and temporal variability of sources of ambient fine particulate matter (PM2.5) in California
    Hasheminassab, S.
    Daher, N.
    Saffari, A.
    Wang, D.
    Ostro, B. D.
    Sioutas, C.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (22) : 12085 - 12097
  • [24] Correction to: Elemental Composition and Sources of Fine Particulate Matter (PM2.5) in Delhi, India
    S. K. Sharma
    T. K. Mandal
    Bulletin of Environmental Contamination and Toxicology, 2023, 110
  • [25] Understanding the Sources of Ambient Fine Particulate Matter (PM2.5) in Jeddah, Saudi Arabia
    Nayebare, Shedrack R.
    Aburizaiza, Omar S.
    Siddique, Azhar
    Hussain, Mirza M.
    Zeb, Jahan
    Khatib, Fida
    Carpenter, David O.
    Blake, Donald R.
    Khwaja, Haider A.
    ATMOSPHERE, 2022, 13 (05)
  • [26] Chemical composition, diurnal variation and sources of PM2.5 at two industrial sites of South China
    Huang, Bo
    Liu, Ming
    Ren, Zhaofang
    Bi, Xinhui
    Zhang, Guohua
    Sheng, Guoying
    Fu, Jiamo
    ATMOSPHERIC POLLUTION RESEARCH, 2013, 4 (03) : 298 - 305
  • [27] Pollution Characteristics and Source Identification of PAHs in Atmospheric PM2.5 in Changzhou City
    Gu, Ai-Jun
    Liu, Jia-Shu
    Luo, Shi-Peng
    Bi, Cheng-Lu
    Su, Ya-Lan
    Ye, Zhao-Lian
    Gai, Xin-Lei
    Huanjing Kexue/Environmental Science, 2017, 38 (08): : 3110 - 3119
  • [28] Measurement and Analysis of Fine Particulate Matter (PM2.5) in Urban Areas of Pakistan
    Rasheed, Anjum
    Aneja, Viney P.
    Aiyyer, Anantha
    Rafique, Uzaira
    AEROSOL AND AIR QUALITY RESEARCH, 2015, 15 (02) : 426 - 439
  • [29] Characterization of chemical components and cytotoxicity effects of indoor and outdoor fine particulate matter (PM2.5) in Xi’an, China
    Xinyi Niu
    Kin Fai Ho
    Tafeng Hu
    Jian Sun
    Jing Duan
    Yu Huang
    Ka Hei Lui
    Junji Cao
    Environmental Science and Pollution Research, 2019, 26 : 31913 - 31923
  • [30] PIXE and statistical analysis of fine airborne particulate matter (PM2.5) in Damascus
    Ahmad, M.
    Rihawy, M. S.
    Haydr, R.
    Tlass, M.
    Roumie, M.
    Srour, A.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2020, 462 : 75 - 81