Characteristics, formation, and sources of PM2.5 in 2020 in Suzhou, Yangtze River Delta, China

被引:5
|
作者
Li, Yue'e [1 ,2 ]
Zhu, Bin [1 ]
Lei, Yali [3 ]
Li, Changping [2 ]
Wang, Hongli [4 ]
Huang, Cheng [4 ]
Zhou, Minfeng [2 ]
Miao, Qing [2 ]
Wei, Heng [2 ]
Wu, Yezheng [2 ]
Zhang, Xiaohua [2 ]
Ding, Huangda [2 ]
Yang, Qian [2 ]
Zou, Qiang [2 ]
Huang, Dandan [4 ]
Ge, Xinlei [5 ]
Wang, Junfeng [5 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Nanjing 210044, Peoples R China
[2] Suzhou Environm Monitoring Ctr, Suzhou 215011, Peoples R China
[3] East China Normal Univ, Sch Geog Sci, Key Lab Geog Informat Sci Minist Educ, Shanghai 200241, Peoples R China
[4] Shanghai Acad Environm Sci, State Environm Protect Key Lab Format & Prevent Ur, Shanghai 200233, Peoples R China
[5] Nanjing Univ Informat Sci & Technol, Sch Environm Sci & Engn, Jiangsu Key Lab Atmospher Environm Monitoring & Po, Nanjing 210044, Peoples R China
基金
中国博士后科学基金;
关键词
PM2.5; Yangtze river delta; Secondary inorganic aerosol; Positive matrix factorization; PSCF; SECONDARY ORGANIC AEROSOL; CHEMICAL-CHARACTERIZATION; SOURCE APPORTIONMENT; BROWN CARBON; HYGROSCOPIC GROWTH; LIGHT-ABSORPTION; FINE PARTICLES; HAZE EPISODE; BLACK CARBON; VISIBILITY;
D O I
10.1016/j.envres.2022.113545
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Here we present seasonal chemical characteristics, formations, sources of PM2.5 in the year 2020 in Suzhou, Yangtze River Delta, China. Expectedly, organic matter (OM) found to be the most dominant component of PM2.5, with a year-average value of 10.3 +/- 5.5 mu g m(-3), followed by NO3 (6.7 +/- 6.5 mu g m(-3)), SO42- (3.3 +/- 2.5 mu g m(-3)), NH4+ (3.2 +/- 2.8 mu g m(-3)), EC (1.1 +/- 1.3 mu g m(-3)), Cl (0.57 +/- 0.56 mu g m(-3)), Ca2+ (0.55 +/- 0.91 mu g m(-3)), K+ (0.2 +/- 1.0 mu g m(-3)), Na+ (0.18 +/- 0.45 mu g m(-3)), and Mg2+ (0.09 +/- 0.15 mu g m(-3)). Seasonal variations of PM2.5 showed the highest average value in spring, followed by winter, fall, and summer. Meanwhile, the formation mechanisms of the major PM2.5 species (NO3, SO42-, and OM) varied in seasons. Interestingly, NO2 may have the highest conversion rate to NO3 in spring, which might be linked with the nighttime chemistry due to the high relative humidity. Moreover, OM in summer was mainly produced by the daytime oxidation of volatile organic compounds, while local primary organic aerosols might play a significant role in other seasons. Source apportionment showed that the more-aged PM2.5 contributed significantly to the PM2.5 mass (42%), followed by the dust-related PM2.5 (38%) and the less-aged PM2.5 (21%). Potential contribution source function (PSCF) results indicated that aged PM2.5 were less affected by transportation than dust-related PM2.5.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Stable Isotopes Unravel the Sources and Transport of PM2.5 in the Yangtze River Delta, China
    Zhang, Han
    Hong, Zhenyu
    Wei, Lai
    Thornton, Barry
    Hong, Youwei
    Chen, Jinsheng
    Zhang, Xian
    [J]. ATMOSPHERE, 2023, 14 (07)
  • [2] Chemical characteristics of PM2.5 lduring summer at a background site of the Yangtze River Delta in China
    Liang, Linlin
    Engling, Guenter
    Zhang, Xiaoye
    Sun, Junying
    Zhang, Yangmei
    Xu, Wanyun
    Liu, Chang
    Zhang, Gen
    Liu, Xuyan
    Ma, Qianli
    [J]. ATMOSPHERIC RESEARCH, 2017, 198 : 163 - 172
  • [3] Quantifying the seasonal variations in and regional transport of PM2.5 in the Yangtze River Delta region, China: characteristics, sources, and health risks
    Zhan, Yangzhihao
    Xie, Min
    Zhao, Wei
    Wang, Tijian
    Gao, Da
    Chen, Pulong
    Tian, Jun
    Zhu, Kuanguang
    Li, Shu
    Zhuang, Bingliang
    Li, Mengmeng
    Luo, Yi
    Zhao, Runqi
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2023, 23 (17) : 9837 - 9852
  • [4] The impacts of comprehensive urbanization on PM2.5 concentrations in the Yangtze River Delta, China
    She, Qiannan
    Cao, Shanshan
    Zhang, Shiqing
    Zhang, Jianpeng
    Zhu, Hongkai
    Bao, Jiehuan
    Meng, Xing
    Liu, Min
    Liu, Yang
    [J]. ECOLOGICAL INDICATORS, 2021, 132
  • [5] The Influence of Technological Innovation on PM2.5 Concentration in the Yangtze River Delta, China
    Zhang, Xinlin
    Yang, Zhen
    [J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2023, 32 (04): : 3915 - 3925
  • [6] Effects of Emission Reductions of Key Sources on the PM2.5 Concentrations in the Yangtze River Delta
    Yu, Yan
    Wang, Ze-Hua
    Cui, Xue-Dong
    Chen, Feng
    Xu, Hong-Hui
    [J]. Huanjing Kexue/Environmental Science, 2019, 40 (01): : 11 - 23
  • [7] Relationships of relative humidity with PM2.5 and PM10 in the Yangtze River Delta, China
    Lou, Cairong
    Liu, Hongyu
    Li, Yufeng
    Peng, Yan
    Wang, Juan
    Dai, Lingjun
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2017, 189 (11)
  • [8] Relationships of relative humidity with PM2.5 and PM10 in the Yangtze River Delta, China
    Cairong Lou
    Hongyu Liu
    Yufeng Li
    Yan Peng
    Juan Wang
    Lingjun Dai
    [J]. Environmental Monitoring and Assessment, 2017, 189
  • [9] Effects of land use and landscape pattern on PM2.5 in Yangtze River Delta, China
    Lu, Debin
    Mao, Wanliu
    Yang, Dongyang
    Zhao, Jianan
    Xu, Jianhua
    [J]. ATMOSPHERIC POLLUTION RESEARCH, 2018, 9 (04) : 705 - 713
  • [10] Spatial and Temporal Distribution Characteristics of PM2.5 and PM10 in the Urban Agglomeration of China's Yangtze River Delta, China
    Yu, Yingpeng
    Wang, Jiaying
    Yu, Jiashu
    Chen, Hongquan
    Liu, Min
    [J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2019, 28 (01): : 445 - 452