Chemical composition and source apportionment of ambient PM2.5 during the non-heating period in Taian, China

被引:137
|
作者
Liu, Baoshuang [1 ]
Song, Na [1 ]
Dai, Qili [1 ]
Mei, Rubo [2 ]
Sui, Benhui [2 ]
Bi, Xiaohui [1 ]
Feng, Yinchang [1 ]
机构
[1] Nankai Univ, Coll Environm Sci & Engn, State Environm Protect Key Lab Urban Ambient Air, Tianjin 300071, Peoples R China
[2] Taian Environm Protect Monitoring Stn, Tai An 271000, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
PM2.5; Chemical composition; Source apportionment; Enrichment factor; Backward trajectory; Potential source contribution function (PSCF); PEARL RIVER-DELTA; POSITIVE MATRIX FACTORIZATION; SOLUBLE IONIC COMPOSITION; SEASONAL-VARIATIONS; ORGANIC-CARBON; PARTICULATE MATTER; DESCRIPTIVE ANALYSIS; ELEMENTAL CARBON; POTENTIAL SOURCE; FINE PARTICLES;
D O I
10.1016/j.atmosres.2015.11.002
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Ambient PM2.5 samples were collected in the urban area of Taian in China in August September and November, 2014. The chemical compositions and emission sources of PM2.5 were analyzed. The results indicated that the mean concentration of PM2.5 reached 70.8 mu g/m(3) during the non-heating period, and water soluble inorganic ions (WSIIs), carbonaceous materials, including elemental carbon (EC) and organic carbon (OC); and elements contributed 43.80%, 10.34% and 17.36%, respectively, to PM2.5. The mean concentrations of WSIIs at three sampling sites decreased in the same order: SO42- > NH4 (+)> NO3-> Cl- during the non-heating period. NO3- and NH4+, SO42- and NH4+, showed extremely significant positive-correlations (r = 0.79, 0.54; P < 0.01). The variability of OC was larger than the variability of EC during the non-heating period. The high concentration of secondary organic carbon (SOC) could reduce correlation-level between the OC and EC. Moreover, the percentages and concentrations of the total detected elements (TDE) increased significantly, ranging from August September to November (P < 0.01). Major sources of PM2.5 identified from positive matrix factorization (PMF) model and enrichment factors (EFs) included secondary aerosol, coal combustion, metal manufacturing, soil dust/resuspended dust/construction dust and vehicle exhaust/biomass burning, which contributed 27.47%, 17.94%, 19.06%, 9.41% and 16.65%, respectively, to PM2.5. The backward trajectory analysis identified three transport pathways that originated from Mongolia (12% of the total trajectories), Inner Mongolia (2%), and southeast of Shandong Province (86%), and the potential source contribution function (PSCF) model identified southeast of Shandong Province was mainly a potential source-area that affected air quality in Taian. (C) 2015 Elsevier BM All rights reserved.
引用
收藏
页码:23 / 33
页数:11
相关论文
共 50 条
  • [31] Chemical characteristics and source apportionment of ambient PM1.0 and PM2.5 in a polluted city in North China plain
    Chen, Chunrong
    Zhang, Haixu
    Li, Haiyan
    Wu, Nana
    Zhang, Qiang
    [J]. ATMOSPHERIC ENVIRONMENT, 2020, 242
  • [32] Chemical Composition Characteristics and Source Apportionment of PM2.5 in Ceramic Industrial Base during Winter
    Tu, Xiang
    Fang, Xiaozhen
    Fang, Hansun
    Ye, Changlin
    Liu, Zugen
    Jia, Xuehui
    He, Dan
    Wang, Jinliang
    Huang, Hong
    Zou, Changwei
    Yu, Chenglong
    [J]. AEROSOL AND AIR QUALITY RESEARCH, 2022, 22 (05)
  • [33] Variations of Chemical Composition and Source Apportionment of PM2.5 during Winter Haze Episodes in Beijing
    Ma, Qingxia
    Wu, Yunfei
    Tao, Jun
    Xia, Yunjie
    Liu, Xinyu
    Zhang, Daizhou
    Han, Zhiwei
    Zhang, Xiaoling
    Zhang, Renjian
    [J]. AEROSOL AND AIR QUALITY RESEARCH, 2017, 17 (11) : 2791 - 2803
  • [34] Isotopic signatures and source apportionment of Pb in ambient PM2.5
    Jung, Chien-Cheng
    Chou, Charles C-K
    Huang, Yi-Tang
    Chang, Shih-Yu
    Lee, Chung-Te
    Lin, Chuan-Yao
    Cheung, Hing-Cho
    Kuo, Wei-Chen
    Chang, Chih-Wei
    Chang, Shuenn-Chin
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [35] Characteristics of chemical composition and source apportionment of PM2.5 during a regional haze episode in the yangtze river delta, china
    Diao, Yiwei
    Liu, Ankang
    Hu, Qun
    Yang, Meng
    Zhao, Tianliang
    Cui, Yi
    Shi, Shuangshuang
    Kong, Xiangchen
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [36] Chemical Characteristics and Source Apportionment of PM2.5 during Winter in the Southern Part of Urumqi, China
    Turap, Yusan
    Rekefu, Suwubinuer
    Wang, Guo
    Talifu, Dilinuer
    Gao, Bo
    Aierken, Tuergong
    Hao, Shen
    Wang, Xinming
    Tursun, Yalkunjan
    Maihemuti, Mailikezhati
    Nuerla, Ailijiang
    [J]. AEROSOL AND AIR QUALITY RESEARCH, 2019, 19 (06) : 1325 - 1337
  • [37] Isotopic signatures and source apportionment of Pb in ambient PM2.5
    Chien-Cheng Jung
    Charles C.-K. Chou
    Yi-Tang Huang
    Shih-Yu Chang
    Chung-Te Lee
    Chuan-Yao Lin
    Hing-Cho Cheung
    Wei-Chen Kuo
    Chih-Wei Chang
    Shuenn-Chin Chang
    [J]. Scientific Reports, 12
  • [38] Seasonal variation of chemical composition and source apportionment of PM2.5 in Pune, India
    Gawhane, Ranjeeta D.
    Rao, Pasumarthi Surya Prakasa
    Budhavant, Krishnakant B.
    Waghmare, Vinayak
    Meshram, Dhananjay C.
    Safai, Pramod D.
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2017, 24 (26) : 21065 - 21072
  • [39] Chemical components and source identification of PM2.5 in non-heating season in Beijing: The influences of biomass burning and dust
    Ren, Yanqin
    Wei, Jie
    Wu, Zhenhai
    Ji, Yuanyuan
    Bi, Fang
    Gao, Rui
    Wang, Xuezhong
    Wang, Gehui
    Li, Hong
    [J]. ATMOSPHERIC RESEARCH, 2021, 251
  • [40] Chemical composition and source apportionment of PM2.5 particles in the Sihwa area, Korea
    Park, SS
    Bae, MS
    Kim, YJ
    [J]. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2001, 51 (03): : 393 - 405