Development of source profiles and their application in source apportionment of PM2.5 in Xiamen, China

被引:22
作者
Zhang, Ningning [1 ]
Zhuang, Mazhan [2 ]
Tian, Jie [1 ]
Tian, Pengshan [1 ,3 ]
Zhang, Jieru [2 ]
Wang, Qiyuan [1 ]
Zhou, Yaqing [1 ]
Huang, Rujin [1 ,4 ,5 ]
Zhu, Chongshu [1 ]
Zhang, Xuemin [2 ]
Cao, Junji [1 ,6 ]
机构
[1] Chinese Acad Sci, Inst Earth Environm, Key Lab Aerosol Chem & Phys, Xian 710061, Peoples R China
[2] Xiamen Environm Monitoring Cent Stn, Xiamen 361012, Peoples R China
[3] IER Environm Protect Engn Tech Co Ltd, Shenzhen 518055, Peoples R China
[4] Paul Scherrer Inst, Lab Atmospher Chem, CH-5232 Villigen, Switzerland
[5] Xiamen Huaxia Univ, Ctr Atmospher & Environm Studies, Xiamen 361024, Peoples R China
[6] Xi An Jiao Tong Univ, Inst Global Environm Change, Xian 710049, Peoples R China
关键词
PM2.5; Source profile; Source apportionment; CMB; Xiamen; FUGITIVE DUST; VISIBILITY; PARTICLES; POLLUTION; PM10; AREA;
D O I
10.1007/s11783-016-0879-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ambient PM2.5 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 PM2.5 mass concentration and species related to human activities (SO42-, NO3-, 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 PM2.5 and its components occurred in winter and summer, respectively. The reconstructed mass balance indicated that ambient PM2.5 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; SO42- for industry; and crustal elements for fugitive dust. Source contributions were calculated using a chemical mass balance (CMB) model based on ambient PM2.5 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 PM2.5 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. (C) Higher Education Press and Springer-Verlag Berlin Heidelberg 2016
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Seasonal Source Apportionment of PM2.5 in Ningbo, a Coastal City in Southeast China
    Li, Mengren
    Hu, Min
    Guo, Qingfeng
    Tan, Tianyi
    Du, Bohan
    Huang, Xiaofeng
    He, Lingyan
    Guo, Song
    Wang, Weifeng
    Fan, Yingguo
    Xu, Dandan
    [J]. AEROSOL AND AIR QUALITY RESEARCH, 2018, 18 (11) : 2741 - 2752
  • [22] 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
  • [23] Source apportionment of environmentally persistent free radicals (EPFRs) in PM2.5 over Xi'an, China
    Wang, Yugin
    Li, Shengping
    Wang, Mamin
    Sun, Haoyao
    Mu, Zhen
    Zhang, Lixin
    Li, Yanguang
    Chen, Qingcai
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 689 : 193 - 202
  • [24] PM2.5 Pollution in Xingtai, China: Chemical Characteristics, Source Apportionment, and Emission Control Measures
    Hu, Jun
    Wang, Han
    Zhang, Jingqiao
    Zhang, Meng
    Zhang, Hefeng
    Wang, Shulan
    Chai, Fahe
    [J]. ATMOSPHERE, 2019, 10 (03)
  • [25] The 2013 severe haze over the Southern Hebei, China: PM2.5 composition and source apportionment
    Wei, Zhe
    Wang, Li-Tao
    Chen, Ming-Zhang
    Zheng, Yan
    [J]. ATMOSPHERIC POLLUTION RESEARCH, 2014, 5 (04) : 759 - 768
  • [26] Spatial and temporal source apportionment of PM2.5 in Georgia, 2002 to 2013
    Zhai, Xinxin
    Mulholland, James A.
    Russell, Armistead G.
    Holmes, Heather A.
    [J]. ATMOSPHERIC ENVIRONMENT, 2017, 161 : 112 - 121
  • [27] Emissions and source profiles of PM2.5 for coal-fired boilers in the Shanghai megacity, China
    Pei, Bing
    Wang, Xiaoliang
    Zhang, Yihua
    Hu, Ming
    Sun, Yanjing
    Deng, Ji
    Dong, Li
    Fu, Qingyan
    Yan, Naiqiang
    [J]. ATMOSPHERIC POLLUTION RESEARCH, 2016, 7 (04) : 577 - 584
  • [28] Characterization and source apportionment of carbonaceous PM2.5 particles in China - A review
    Wu, Xuefang
    Vu, Tuan V.
    Shi, Zongbo
    Harrison, Roy M.
    Liu, Di
    Cen, Kuang
    [J]. ATMOSPHERIC ENVIRONMENT, 2018, 189 : 187 - 212
  • [29] Chemical composition and source apportionment of PM10 and PM2.5 in different functional areas of Lanzhou, China
    Qiu, Xionghui
    Duan, Lei
    Gao, Jian
    Wang, Shulan
    Chai, Fahe
    Hu, Jun
    Zhang, Jingqiao
    Yun, Yaru
    [J]. JOURNAL OF ENVIRONMENTAL SCIENCES, 2016, 40 : 75 - 83
  • [30] Chemical composition and source apportionment of the ambient PM2.5 in Hangzhou, China
    Liu, Gang
    Li, Jiuhai
    Wu, Dan
    Xu, Hui
    [J]. PARTICUOLOGY, 2015, 18 : 135 - 143