Exploring Sources and Health Risks in Beijing PM2.5 in 2019 and 2020

被引:1
|
作者
Yuan, Jing [1 ,2 ]
Zuo, Hanfei [1 ,2 ]
Jiang, Yuchun [1 ]
Zhang, Puzhen [1 ]
Wang, Ziqi [3 ]
Guo, Chen [1 ]
Wang, Zhanshan [1 ]
Wen, Qing [2 ]
Chen, Ye [2 ]
Wei, Yongjie [1 ]
Li, Xiaoqian [1 ,2 ]
机构
[1] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China
[2] Harbin Engn Univ, Sch Mat Sci & Chem Engn, Harbin 150006, Peoples R China
[3] Univ Cincinnati, Coll Arts & Sci, Cincinnati, OH 45221 USA
关键词
toxic elements; health risk assessments; PMF model; traffic-related emissions; HEAVY-METALS; SOURCE APPORTIONMENT; CHEMICAL-CHARACTERIZATION; CHINA; AEROSOL; ELEMENTS; HAZE; EXPOSURE; MATTER; AREA;
D O I
10.3390/atmos14071060
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The various industries, sectors, and citizens' daily lives have undergone significant changes after the outbreak of the COVID-19 pandemic. The researchers collected and analyzed PM2.5 samples including secondary inorganic ions (SO42-, NO3-, and NH4+, namely SNA), organic carbon (OC), elemental carbon (EC), and other 16 metal elements in Beijing in 2019 (before the pandemic) and 2020 (after the pandemic). The particulate matter (PM2.5) concentration in the autumn and winter of 2020 is 21.16 & mu;g/m(3) and 14.05 & mu;g/m(3) lower than in 2019, respectively. The contribution of six sources of pollution, including coal combustion, secondary sources, transportation-related sources, dust, Industrial I, and Industrial II, were analyzed using the Positive Matrix Factorization (PMF) model. Due to the impacts of the COVID-19 pandemic, more and more people are choosing private transportation, such as private cars, instead of public transportation. As a result, the contribution of PM2.5 pollution related to transportation increased after the pandemic. The metal elements measured during the sampling period represent only a very small fraction (1%) of PM2.5. However, their health risk to humans cannot be ignored because of the toxicity of some metallic elements, and the carcinogenic risks induced by metal elements in PM2.5 exceeded the safety threshold (>10(-6)) during the autumn and winter of 2019 and 2020. Arsenic (As) contributes the most to carcinogenic risk, so controlling arsenic emissions is the primary approach to reducing cancer risk in Beijing. Considering the contribution to the health risk from various sources obtained in PMF, coal combustion is the most significant contributor to cancer risk. Therefore, serious consideration should be given to controlling coal combustion at the local and regional levels to reduce health risks in Beijing.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Health Risk Assessment of Different Sources of Metals in PM10 and PM2.5 in the Largest City in Northeast India
    Garaga, Rajyalakshmi
    JOURNAL OF HAZARDOUS TOXIC AND RADIOACTIVE WASTE, 2024, 28 (02)
  • [42] Insights into PM2.5 pollution of four small and medium-sized cities in Chinese representative regions: Chemical compositions, sources and health risks
    Liu, Jiayuan
    Ma, Tong
    Chen, Jianhua
    Peng, Xing
    Zhang, Yuechong
    Wang, Yali
    Peng, Jianfei
    Shi, Guoliang
    Wei, Yuting
    Gao, Jian
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 918
  • [43] Exposure Levels, Sources, and Health Risks of Heavy Metal Components of PM2.5 in Housewives in Rural Shanghai
    Luo R.-R.
    Dai H.-X.
    Zhang Y.-H.
    Qiao L.-P.
    Ma Y.-G.
    Zhou M.
    Xia B.
    Zhu Q.-Y.
    Zhao Y.-Y.
    Huang C.
    Huanjing Kexue/Environmental Science, 2019, 40 (12): : 5224 - 5233
  • [44] Elemental composition and health risks of indoor PM2.5 in Taiyuan, China: Associations with fractional exhaled nitric oxide (FeNO) in preschoolers
    Cheng, Hong
    Chen, Xingyi
    Zhang, Huilin
    Yang, Liu
    Wang, Shengchun
    Zhao, Zhuohui
    Norbaeck, Dan
    Zhang, Xin
    HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2025, 31 (1-2): : 69 - 88
  • [45] Highly time-resolved measurements of elements in PM2.5 in Changzhou, China: Temporal variation, source identification and health risks
    Yi, Yanan
    Li, Qing
    Zhang, Kun
    Li, Rui
    Yang, Liumei
    Liu, Zhiqiang
    Zhang, Xiaojuan
    Wang, Shunyao
    Wang, Yangjun
    Chen, Hui
    Huang, Ling
    Yu, Jian Zhen
    Li, Li
    SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 853
  • [46] Application of positive matrix factorization in characterization of PM10 and PM2.5 emission sources at urban roadside
    Srimuruganandam, B.
    Nagendra, S. M. Shiva
    CHEMOSPHERE, 2012, 88 (01) : 120 - 130
  • [47] Characterisation, Sources and Health Risk of Heavy Metals in PM2.5 in Agra, India
    Dinesh Sah
    Puneet Kumar Verma
    K. Maharaj Kumari
    Anita Lakhani
    Exposure and Health, 2023, 15 : 585 - 596
  • [48] On the source contribution to Beijing PM2.5 concentrations
    Zikova, Nadezda
    Wang, Yungang
    Yang, Fumo
    Li, Xinghua
    Tian, Mi
    Hopke, Philip K.
    ATMOSPHERIC ENVIRONMENT, 2016, 134 : 84 - 95
  • [49] Characterization of PM2.5/PM2.5-10 and source tracking in the juncture belt between urban and rural areas of Beijing
    Wang HaiLin
    Zhou YuMin
    Zhuang YaHui
    Wang XiaoKe
    Hao ZhengPing
    CHINESE SCIENCE BULLETIN, 2009, 54 (14): : 2506 - 2515
  • [50] Source apportionment of PM2.5 in Beijing in 2004
    Song, Yu
    Tang, Xiaoyan
    Xie, Shaodong
    Zhang, Yuanhang
    Wei, Yongjie
    Zhang, Minsi
    Zeng, Limin
    Lu, Sihua
    JOURNAL OF HAZARDOUS MATERIALS, 2007, 146 (1-2) : 124 - 130