Spatio-temporal distribution and chemical composition of PM2.5 in Changsha, China

被引:0
|
作者
Nan-Nan Zhang
Yang Guan
Lei Yu
Fang Ma
Yi-Fan Li
机构
[1] International Joint Research Center (IJRC-PTS),
[2] State Key Laboratory of Urban Water Resource and Environment,undefined
[3] Harbin Institute of Technology,undefined
[4] School of Environment,undefined
[5] Harbin Institute of Technology,undefined
[6] Chinese Academy of Environmental Planning,undefined
来源
关键词
PM; Aerosol components; Spatio-temporal distribution; Source apportionment; Yangtze River Economic Belt;
D O I
暂无
中图分类号
学科分类号
摘要
The rapid economic development and significant expansion of urban agglomerations in China have resulted in issues associated with haze and photochemical smog. Central China, a transitional zone connecting the eastern coast and western interior, suffers from increasing atmospheric pollution. This study performed a spatio-temporal analysis of fine particulate matter (PM2.5) pollution in Changsha, a provincial capital located in central China. Samples of PM2.5 were collected at five different functional areas from September 2013 to August 2014. The PM2.5 concentration at the five sampling sites was the highest in winter and the lowest in summer, with an average annual PM2.5 concentration of 105.2 ± 11.0 μg/m3. On average, residential sites had the highest concentrations of PM2.5 while suburban sites had the lowest. We found that inorganic ionic species were dominant (~48%), organic species occupied approximately 25%, whereas EC (~3.7%) contributed insignificantly to the total PM2.5 mass. Ion balance calculations show that the PM2.5 samples at all sites were acidic, with increased acidity in spring and summer compared with autumn and winter. Air quality in Changsha is controlled by four major air masses: (1) Wuhan and the surrounding urban clusters, (2) the Changsha-Zhuzhou-Xiangtan urban agglomeration and the surrounding cities, and (3) southern and (4) eastern directions. The north–south transport channel is the most significant air mass trajectory in Changsha and has a significant impact on PM2.5 pollution.
引用
收藏
页码:1 / 16
页数:15
相关论文
共 50 条
  • [1] Spatio-temporal distribution and chemical composition of PM2.5in Changsha, China
    Zhang, Nan-Nan
    Guan, Yang
    Yu, Lei
    Ma, Fang
    Li, Yi-Fan
    [J]. JOURNAL OF ATMOSPHERIC CHEMISTRY, 2020, 77 (1-2) : 1 - 16
  • [2] PM10 and PM2.5 chemical source profiles of road dust over China: Composition, spatio-temporal distribution, and source apportionment
    Lin, Zi
    Ji, Yaqin
    Lin, Yu
    Yang, Yi
    Gao, Yuzong
    Wang, Miao
    Xiao, Yang
    Zhao, Jingqi
    Feng, Yinchang
    Yang, Wen
    Wang, Baoqing
    [J]. URBAN CLIMATE, 2023, 51
  • [3] Compositional Spatio-Temporal PM2.5 Modelling in Wildfires
    Sanchez-Balseca, Joseph
    Perez-Foguet, Agustii
    [J]. ATMOSPHERE, 2021, 12 (10)
  • [4] Temporal and spatial distribution of PM2.5 chemical composition in a coastal city of Southeast China
    Li, Mengren
    Hu, Min
    Du, Bohan
    Guo, Qingfeng
    Tan, Tianyi
    Zheng, Jing
    Huang, Xiaofeng
    He, Lingyan
    Wu, Zhijun
    Guo, Song
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 605 : 337 - 346
  • [5] Spatio-temporal variations of PM2.5 emission in China from 2005 to 2014
    Jin, Qiang
    Fang, Xinyue
    Wen, Bo
    Shan, Aidang
    [J]. CHEMOSPHERE, 2017, 183 : 429 - 436
  • [6] Temporal distribution and source apportionment of PM2.5 chemical composition in Xinjiang, NW-China
    Turap, Yusan
    Talifu, Dilinuer
    Wang, Xinming
    Abulizi, Abulikemu
    Maihemuti, Mailikezhati
    Tursun, Yalkunjan
    Ding, Xiang
    Aierken, Tuergong
    Rekefu, Suwubinuer
    [J]. ATMOSPHERIC RESEARCH, 2019, 218 : 257 - 268
  • [7] Spatio-Temporal Variation of PM2.5 Concentrations and Their Relationship with Geographic and Socioeconomic Factors in China
    Lin, Gang
    Fu, Jingying
    Jiang, Dong
    Hu, Wensheng
    Dong, Donglin
    Huang, Yaohuan
    Zhao, Mingdong
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2014, 11 (01) : 173 - 186
  • [8] Spatio-temporal evolution and the influencing factors of PM2.5 in China between 2000 and 2015
    Zhou Liang
    Zhou Chenghu
    Yang Fan
    Che Lei
    Wang Bo
    Sun Dongqi
    [J]. JOURNAL OF GEOGRAPHICAL SCIENCES, 2019, 29 (02) : 253 - 270
  • [9] Spatio-temporal evolution and the influencing factors of PM2.5 in China between 2000 and 2015
    Liang Zhou
    Chenghu Zhou
    Fan Yang
    Lei Che
    Bo Wang
    Dongqi Sun
    [J]. Journal of Geographical Sciences, 2019, 29 : 253 - 270
  • [10] Spatio-temporal Evolution of PM2.5 Concentration During 2000-2019 in China
    Xia, Xiao-Sheng
    Wang, Jun-Hong
    Song, Wei-Dong
    Cheng, Xian-Fu
    [J]. Huanjing Kexue/Environmental Science, 2020, 41 (11): : 4832 - 4843