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Pollution characteristics and toxic effects of PM1.0 and PM2.5 in Harbin, China

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Abstract

In 2019, PM2.5 and PM1.0 samples were collected in Harbin City, Heilongjiang Province, China, to research their mass concentration, number concentration, metal composition analysis, impact on lung injury of mice, and metal source analysis. The results showed that the mass concentration of PM2.5 and PM1.0 in the whole year of 2019 showed a trend of high in winter and low in summer. The mass concentration of PM1.0 was 62~85% of the total mass concentration of PM2.5, and the changing trend of PM1.0 number concentration was lower than that of the two sides. Its size was negatively correlated with the temperature and no significant correlation with the relative humidity. The analysis of metal composition found that the emission of coal and motor vehicle exhaust increased the concentration of Zn, Pb, As, and Cu in PM1.0. And setting off fireworks and firecrackers during the Spring Festival caused the concentration of Ti, Al, and Mg to increase. The burning of biomass also made the K concentration higher in autumn and winter than the other two-quarters. PMF analysis showed that coal combustion, soil dust and vehicle exhaust were the main factors of PM1.0 pollution in winter. Electron microscope scanning showed that PM1.0 particle morphology in winter was mainly flocculent aggregated particles generated by coal combustion. In the study of the effects of atmospheric particulate matter on lung injury in mice, it was found that lactate dehydrogenase (LDH), acid phosphatase (ACP),alkaline phosphatase (AKP), and albumin (ALB) in lung tissue cells of mice exposed to air particulates increased, indicating that PM2.5 and PM1.0 had toxic effects on lung tissue cells of mice. The level of serum malondialdehyde (MDA), nitric oxide (NO), and nitric oxide synthase (NOS) in lung lavage fluid increased, and the activity of superoxide dismutase (SOD) decreased, which indicated that both PM2.5 and PM1.0 could cause oxidative damage in the body, and with the increase of the concentration of PM2.5 and PM1.0 in the air particles, the cytotoxic effect on the lung tissue of mice was enhanced and the degree of oxidative damage was increased.

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References

  • Adamson IY, Prieditis H, Hedgecock C, Vincent R (2000) Zinc is the toxic factor in the lung response to an atmospheric particulate sample. Toxicol Appl Pharmacol 166(2):111–119

    Article  CAS  Google Scholar 

  • An AP, Guo LF, Dong HQ (2005) Research progress on the effects of air pollution and meteorological factors on human health in China. Environ Occup Med 3:279–282

    Google Scholar 

  • Bondarenko I, Treiger B, Grieken VR, Espen VP (1996) IDAS: a Windows based software package for cluster analysis. Spectrochim Acta B At Spectrosc 51:441–456

    Article  Google Scholar 

  • Chen CH, Kan HD, Huang C, Li L, Zhang YH, Chen RJ (2009) Impact of ambient air pollution on public health under various traffic policies in Shanghai, China. Biomed Environ Sci 22(3):210–215

    Article  Google Scholar 

  • Chu C, Zhang HY, Cui SJ, Han B, Zhou LX, Zhang N, Su X, Niu YJ, Chen W, Chen C, Zhang R, Zheng YX (2019) Ambient PM2.5 caused depressive-like responses through Nrf2/NLRP3 signaling pathway modulating inflammation. J Hazard Mater 369:180–190

    Article  CAS  Google Scholar 

  • Fanizza C, De Berardis B, Ietto F, Soggiu ME, Schirò R, Inglessis M, Ferdinandi M, Incoronato F (2018) Analysis of major pollutants and physico-chemical characteristics of PM2.5 at an urban site in Rome. Sci Total Environ:616–617

  • GB6921-86 (n.d.) Determination of atmospheric dust concentration [S]

  • Hopke PK, Croft D, Zhang WJ, Lin S, Masiol M, Squizzato S, Thurston SW, Wijngaarden EV, Utell MJ, Rich DQ (2019) Changes in the acute response of respiratory diseases to PM 2.5 in New York State from 2005 to 2016. Sci Total Environ 677:328–339

    Article  CAS  Google Scholar 

  • Huang GH, Cheng TT, Zhang RJ, Tao J, Leng CP, Zhang YW, Zha SP, Zhang DQ, Li X, Xu CY (2014a) Optical properties and chemical composition of PM2.5 in Shanghai in the spring of 2012. Particuology 13:52–59

    Article  CAS  Google Scholar 

  • Huang LK, Wang GZ, Wang K (2014b) Physicochemical characteristics and long-range transportation of atmospheric particulates during a dust storm episode in Harbin, China. China Environ Sci 34(8):1920–1926

    CAS  Google Scholar 

  • Jiang ZH, Song WM, Zhou XY, Zhang YF (2004) Study on mouse pulmonary acute injury induced by air-borne PM2.5. J Hyg Res 33(3):264–266

    Google Scholar 

  • Kaufman YJ, Tanré D, Boucher O (2002) A satellite view of aerosols in the climate system. Nature. 419:215–223

    Article  CAS  Google Scholar 

  • Lei GH, Piao YJ, Wu JC (1999) Effects of receptor-mediated endocytosis on membrane potential, cytoplasmic and lysosomal pH of macrophages. J First Mil Med Univ 2:183

    Google Scholar 

  • Li FJ, Shao LY, Yang SS (2007) Chemical characteristics and source analysis of heavy metals in atmospheric particulate matter. J Zhongyuan Inst Technol 18(1):7–10

    CAS  Google Scholar 

  • Lim SS, Vos T, Flaxman AD, Danaei D, Shibuya K, Adair-Rohani H, AlMazroa MA, Amann M, Anderson HR, Andrews KG, Aryee M, Atkinson C, Bacchus LJ, Bahalim AN, Balakrishnan K, Balmes J, Barker-Collo S, Baxter A, Bell ML, Blore JD, Blyth F, Bonner C, Borges G, Bourne R, Boussinesq M, Brauer M, Brooks P, Bruce NG, Brunekreef B, Bryan-Hancock C, Buc C (2012) A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380(9859):2224–2260

    Article  Google Scholar 

  • Liu XD, Espen PV, Adams F, Cafmeyer J, Maenhaut W (2000) Biomass burning in southern Africa: individual particle characterization of atmospheric aerosols and savanna fire samples. Atmos Chem 36:135–155

    Article  CAS  Google Scholar 

  • Liu G, Li JH, Wu D, Xu H (2015a) Chemical composition and source apportionment of the ambient PM2.5 in Hangzhou, China. Particuology 18:135–143

    Article  Google Scholar 

  • Liu XT, Zhai YB, Zhu Y, Liu YN, Chen HM, Li P, Peng C, Xu BB, Li CT, Zeng GM (2015b) Mass concentration and health risk assessment of heavy metals in size-segregated airborne particulate matter in Changsha. Sci Total Environ 517:215–221

    Article  CAS  Google Scholar 

  • Niu ZD, Wu HZ, Ding YL et al (2020) Analysis of the concentrations and sources of 12 elements in winter and spring atmospheric PM_(2.5) in Yinchuan City. Modern Prevent Med 47(15):2708–2711

    Google Scholar 

  • Police S, Sahu SK, Tiwari M, Pandit GG (2018) Chemical composition and source apportionment of PM2.5 and PM2.5–10 in Trombay (Mumbai, India), a coastal industrial area. Particuology 37:143–153

    Article  CAS  Google Scholar 

  • Pui DYH, Chen SC, Zuo ZL (2014) PM2.5 in China: measurements, sources, visibility and health effects, and mitigation. Particuology 13:1–26

    Article  CAS  Google Scholar 

  • Qian CP, Chen ZL, Bi CJ, Xu SY (2002) Advances in biogeochemistry of heavy metals in sediment of tidal flat. Environ Sci Res 15:49–51

    Google Scholar 

  • Ren HQ, Lu JJ, Ning JY et al (2019) Effects of fine particulate matter and iron on lung injury in rats. Sci Technol Eng 19(24):87–92

    Google Scholar 

  • Sarti E, Pasti L, Rossi M, Ascanelli M, Pagnoni A, Trombini M, Remelli M (2015) The composition of PM1 and PM2.5 samples, metals and their water soluble fractions in the Bologna area (Italy). Atmos Pollut Res 6(4):708–718

    Article  CAS  Google Scholar 

  • Schneider IS, Teixeira EC, Agudelo-Castañeda DM, Silva GS, Balzaretti N, Braga MF, Oliveira LFS (2016) FTIR analysis and evaluation of carcinogenic and mutagenic risks of nitro-polycyclic aromatic hydrocarbons in PM 1.0. Sci Total Environ 541:1151–1160

    Article  CAS  Google Scholar 

  • Shi ZB, Shao LY, Jones TP, Whittaker AG, Lu SL, Bérubé KA, He TE, Richards RJ (2003) Characterization of airborne individual particles collected in an urban area, a satellite city and a clean air area in Beijing, 2001. Atmos Environ 37:4097–4108

    Article  CAS  Google Scholar 

  • Smichowski P, Polla G, Gómez D, Espinosa AJF, Calle Jalópez A (2007) A three-step metal fractionation scheme for fly ashes collected in an Argentine thermal power plant. Fuel 87:1249–1258

    Article  Google Scholar 

  • Song Y, Zhang YH, Xie SD, Zeng LM, Zheng M, Lynn GS, Shao M, Sjaak S (2005) Source apportionment of PM2.5 in Beijing by positive matrix factorization. Atmos Environ 40(8):1526–1537

    Article  Google Scholar 

  • Srivastava A, Jain VK (2007) A study to characterize the suspended particulate matter in an indoor environment in Delhi, India. Build Environ 42:2046–2052

    Article  Google Scholar 

  • Sugimoto N, Shimizu A, Matsui I, Nishikawa M (2016) A method for estimating the fraction of mineral dust in particulate matter using PM2.5-to-PM10 ratios. Particuology 28:114–120

    Article  CAS  Google Scholar 

  • Tie XX, Wu D, Brasseur G (2009) Lung cancer mortality and exposure to atmospheric aerosol particles in Guangzhou, China. Atmos Environ 43(14):2375–2377

    Article  CAS  Google Scholar 

  • Wang F, Sun YF (2014) Heme oxygenase-1 and diabetic complications. Chin J Integr Tradit Western Med Digestion 22(3):168–171

    CAS  Google Scholar 

  • Yan LN, Zuo H, Zhang JQ, Li ZN, Li SR (2019) Comparative study on the distribution characteristics and sources of heavy metal elements in PM1, PM2.5 and PM10 in Shijiazhuang City. Earth Sci Front 26(3):263–270

    Google Scholar 

  • Yao HM, Lv JY (2011) Possible mechanism of ACS induced by different components of PM2.5 in coronary atherosclerosis rats. Chinese J Integr Med Cardio-/Cerebrovasc Dis 9(5):566–568

    Google Scholar 

  • Yu SY, Liu WJ, Xu YS, Yi K, Zhou M, Tao S, Liu WX (2019) Characteristics and oxidative potential of atmospheric PM2.5 in Beijing: Source apportionment and seasonal variation. Sci Total Environ 650:277–287

    Article  CAS  Google Scholar 

  • Zhao Y, Yu RL, Hu GR, Lin XH, Liu XR (2017) Chemical characteristics and Pb isotopic compositions of PM2.5 in Nanchang, China. Particuology 32:95–102

    Article  CAS  Google Scholar 

Download references

Funding

Funding for this work was provided via the Open Project of State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology (No. QA202018). The authors would like to express their sincere thanks for the financial support in the process of accomplishing this study

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Authors

Contributions

Conceptualization: Guangzhi Wang and Likun Huang

Methodology: Guangzhi Wang, Yuanyuan Xu, and Likun Huang

Formal analysis and investigation: Yuanyuan Xu, Kun Wang, and Hairui Shen

Writing—original draft preparation: Likun Huang and Yuanyuan Xu

Writing—review and editing: Likun Huang, Yuanyuan Xu, Hairui Shen, and Zhe Li

Funding acquisition: Guangzhi Wang and Likun Huang

Resources: Guangzhi Wang and Likun Huang

Supervision: Guangzhi Wang and Likun Huang

Corresponding author

Correspondence to Likun Huang.

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Competing interests

The authors declare that they have no competing interests.

Ethical approval

Approval was obtained from the ethics committee of Harbin University of Commerce. The procedures used in this study adhere to the tenets of the Declaration of Helsinki.

Consent to participate

Guangzhi Wang, Yuanyuan Xu, Likun Huang, Kun Wang, Hairui Shen, and Zhe Li all agree to participate in the conduct of experiments and writing of this paper.

Consent to publish

We all agree that the Environmental Science and Pollution Research will publish this paper called Pollution Characteristics and Toxic Effects of PM1.0 and PM2.5 in Harbin, China. All data in this paper can be published publicly.

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Wang, G., Xu, Y., Huang, L. et al. Pollution characteristics and toxic effects of PM1.0 and PM2.5 in Harbin, China. Environ Sci Pollut Res 28, 13229–13242 (2021). https://doi.org/10.1007/s11356-020-11510-8

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  • DOI: https://doi.org/10.1007/s11356-020-11510-8

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