Contribution of the transfer of industrial emissions by predominate winds to changes in laboratory indicators of the state of population health

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Introduction. Horizontal transport of air pollutants by predominant winds plays an important role in the dispersion of emissions from their primary sources.

The purpose of this study is to assess the contribution of prevailing winds to changes of non-invasive markers in preschool children living in a small city at different distances and in different directions from the complex of agricultural processing enterprises.

Materials and methods. Next markers were determined in mixed saliva samples of 112 children (aged 5–7 years) attending 6 kindergartens at distances of 1.74–5.74 km from the source of emissions toward the SSW, SSE and SE: the intensity of luminol-enchanced chemiluminescence (LC), secretory IgA, IL-1β, IL-6, IL-8 levels, and uric acid, α-amylase and N-acetyl-β-D-glucosaminidase activities. Based on the Meteoblue database, integral indicators of wind repeatebility (W, km/year) for winds, blowing towards the town from NNE, NNW and NW correspondingly, were calculated.

Results. As a marker of the effect for multiple regression analysis, the intensity of LC in children’s saliva samples was chosen as having the most pronounced relationship with the distances between kindergartens and the source of emissions (R = –0.524; p = 7•10–9). The distances were shown to explain 49% of the total variance of LC intensity (p = 3•10–8), whereas the transfer of emissions with prevailing winds explains 16% of the total variance (p = 0.058). The resulting 3D model is in good agreement with previously conflicting data for two equidistant kindergartens having significant differences in children LC intensity, since corresponding wind repeatebilities differ twofold.

Limitations. To develop the 3D model, archival data were used, with the theoretical possibility of planning a population survey with a more complete coverage of the wind rose points.

Conclusion. The results obtained indicate that it is promising to assess the contribution of prevailing winds when analyzing the data of human health in the industrial areas.

Contributions:

Khripach L.V. — research concept and design, determination of biochemical and immunological indices in saliva samples, wind data adaptation, statistical analysis, interpretation and writing of the manuscript;

Budarina O.V. — research concept and design;

Zheleznyak E.V., Knyazeva T.D., Makovetskaya A.K., Koganova Z.I. — determination of biochemical and immunological indices in saliva samples;

Sabirova Z.F., Shipulina Z.V. — evaluation of expositions.

All authors are responsible for the integrity of all parts of the manuscript and approval of the manuscript final version.

Conflict of interest. The authors declare no conflict of interest.

Acknowledgement. The study had no sponsorship.

Received: July 26, 2021 / Accepted: November 25, 2021 / Published: April 08, 2022

作者简介

Ludmila Khripach

Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency

编辑信件的主要联系方式.
Email: lkhripach@cspmz.ru
ORCID iD: 0000-0003-0170-3085

MD, PhD, DSci., leading reseacher of the Department of Preventive Toxicology and Biomedical Research, Centre for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency, Moscow, 119121, Russian Federation.

e-mail: LKhripach@cspmz.ru

俄罗斯联邦

Olga Budarina

Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency

Email: noemail@neicon.ru
ORCID iD: 0000-0003-4319-7192
俄罗斯联邦

Evgeniya Zheleznyak

Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency

Email: noemail@neicon.ru
ORCID iD: 0000-0001-9339-9310
俄罗斯联邦

Tatiana Knyazeva

Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency

Email: noemail@neicon.ru
ORCID iD: 0000-0001-5279-5018
俄罗斯联邦

Anna Makovetskaya

Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency

Email: noemail@neicon.ru
ORCID iD: 0000-0002-4652-1755
俄罗斯联邦

Zoya Koganova

Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency

Email: noemail@neicon.ru
ORCID iD: 0000-0002-4622-8110
俄罗斯联邦

Zulfiya Sabirova

Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency

Email: noemail@neicon.ru
ORCID iD: 0000-0003-3505-8344
俄罗斯联邦

Zinaida Shipulina

Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency

Email: noemail@neicon.ru
ORCID iD: 0000-0001-8409-6713
俄罗斯联邦

参考

  1. The Particle Pollution Report. Current Understanding of Air Quality and Emissions through 2003. US Environmental Protection Agency Washington, DC; 2004.
  2. Deryugina T., Heutel G., Miller N., Molitor D., Reif J. The effect of pollution on health and health care utilization: evidence from changes in wind direction. Working paper (2016, March). Available at: https://ipl.econ.duke.edu/seminars/system/files/seminars/1333.pdf
  3. Kim M.J. The effects of transboundary air pollution from China on ambient air quality in South Korea. Heliyon. 2019; 5(12): e02953. https://doi.org/10.1016/j.heliyon.2019.e02953
  4. Medvedev A.N., Medvedev M.A. The application of land use regression approach for modeling of the areal snow pollution with a small number of observation points. In: Collection of Reports of the XI International Conference «Russian Regions in the Focus of Changes». Volume 1 [Sbornik dokladov XI Mezhdunarodnoy konferentsii «Rossiyskie regiony v fokuse peremen». Tom 1]. Ekaterinburg; 2016: 487–94. (in Russian)
  5. Arain M.A., Blair R., Finkelstein N., Brook J.R., Sahsuvaroglu T., Beckerman B., et al. The use of wind fields in a land use regression model to predict air pollution concentrations for health exposure studies. Atmospheric Environ. 2007; 41(16): 3453–64.
  6. Shi Y., Lau K.K., Ng E. Incorporating wind availability into land use regression modelling of air quality in mountainous high-density urban environment. Environ. Res. 2017; 157: 17–29. https://doi.org/10.1016/j.envres.2017.05.007
  7. Kim Y., Guldmann J.M. Impact of traffic flows and wind directions on air pollution concentrations in Seoul, Korea. Atmospheric Environ. 2011; 45(16): 2803–10.
  8. Zakarin E.A., Dedova T.V., Mirkarimova B.M., Yakovleva N.A., Sadvakasov E.K. Numerical simulations of the impact of mountain-valley wind circulation on the Almaty city atmospheric pollution. Gidrometeorologiya i ekologiya. 2018; (2): 7–24. (in Russian)
  9. Rivas E., Santiago J.L., Lechón Y., Martín F., Ariño A., Pons J.J., et al. CFD modelling of air quality in Pamplona City (Spain): Assessment, stations spatial representativeness and health impacts valuation. Sci. Total Environ. 2019; 649: 1362–80. https://doi.org/10.1016/j.scitotenv.2018.08.315
  10. Anderson M.L. As the wind blows: The effects of long-term exposure to air pollution on mortality. J. Eur. Econ. Assoc. 2020; 18(4): 1886–927. https://doi.org/10.1093/jeea/jvz051
  11. Selyunina S.V., Petrov B.A., Tsapok P.I. Morbidity rate among population as a result of atmospheric pollution by urban heat and power engineering plants. Vyatskiy meditsinskiy vestnik. 2005; (2): 64–7. (in Russian)
  12. Ryabova A.V., Gasangadzhieva A.G., Gadzhieva Z.Ya. Ecological epidemiological features of disease of the malignant new growths of the population of Makhachkala of Dagestan Republic. Yug Rossii: ekologiya, razvitie. 2009; 4(3): 122–6. (in Russian)
  13. Doroshenko A.V. Oncological morbidity of the population living in the zone of action of the Siberian chemical plant. Sibirskiy onkologicheskiy zhurnal. 2007; (Suppl. 2): 42–3. (in Russian)
  14. Pisareva L.F., Odintsova I.N., Boyarkina A.P., Cherdyntseva N.V., Voevoda M.I., Belyavskaya V.A., et al. Cancer morbidity and mortality among population inhabiting areas exposed to environmental contamination from the Siberian Chemical Plant. Sibirskiy onkologicheskiy zhurnal. 2009; (6): 28–36. (in Russian)
  15. Khripach L.V., Knyazeva T.D., Zheleznyak E.V., Makovetskaya A.K., Koganova Z.I., Budarina O.V., et al. Screening and post-screening of air pollution markers in mixed saliva of preschool children. Gigiena i Sanitaria (Hygiene and Sanitation, Russian journal). 2020; 99(6): 610–7. https://doi.org/10.33029/0016-9900-2020-99-6-610-617 (in Russian)
  16. Khripach L.V. Application of free radical methods to assess the effect of polychlorinated dioxins and furans on the health status of the population. Gigiena i Sanitaria (Hygiene and Sanitation, Russian journal). 2002; 81(2): 72–6. (in Russian)
  17. Pokrovskiy A.A., Kravchenko L.V., Tutel’yan V.A. Effect of aflatoxin and mitomycin C on the activity of lysosomal enzymes. Biokhimiya. 1971; 36(4): 690–6. (in Russian)
  18. Budarina O.V. Scientific substantiation of modern hygienic principles of rationing, control and evaluation of odor in the atmospheric air of populated areas: Diss. Moscow; 2020. (in Russian)
  19. Bobrovnitskiy I.P., Nagornev S.N., Yakovlev M.Yu., Shashlov S.V., Banchenko A.D., Gruzdeva A.Yu., et al. Perspectives of research of the impact of meteorological and geomagnetic parameters on the incidence and mortality of the population. Gigiena i Sanitaria (Hygiene and Sanitation, Russian journal). 2018; 97(11): 1064–7. https://doi.org/10.18821/0016-9900-2018-97-11-1064-67 (in Russian)
  20. Saltykova M.M., Gruzdeva A.Yu., Bobrovnitskiy I.P., Balakaeva A.V., Banchenko A.D., Yakovlev M.Yu., et al. Temperature waves and diseases of the circulation system. In: Proceedings of the III International Forum of the Scientific Council of the Russian Federation on Human Ecology and Environmental Hygiene «Modern Problems of Assessment, Forecasting and Management of Environmental Risks to Public Health and the Environment, Ways of Their Rational Solution» [Materialy III Mezhdunarodnogo foruma Nauchnogo Soveta Rossiyskoy Federatsii po ekologii cheloveka i gigiene okruzhayushchey sredy «Sovremennye problemy otsenki, prognoza i upravleniya ekologicheskimi riskami zdorov’yu naseleniya i okruzhayushchey sredy, puti ikh ratsional’nogo resheniya»]. Moscow; 2018: 342–4. (in Russian)
  21. Karpov Yu.A., Bulkina O.S., Lopukhova V.V., Kozlovskaya I.L. The impact of climatic and meteorological factors on the course of ischemic heart disease. Kardiologicheskiy vestnik. 2013; 8(2): 41–8. (in Russian)
  22. Kashirina I.L., Khokhlov R.A., Kazakova A.O. Prediction of myocardial infarction based on analysis of meteorological factors and the data of the regional register. Vestnik Voronezhskogo gosudarstvennogo universiteta. Seriya: sistemnyy analiz i informatsionnye tekhnologii. 2016; (3): 116–23. (in Russian)
  23. Yin Q., Wang J. A better indicator to measure the effects of meteorological factors on cardiovascular mortality: heat index. Environ. Sci. Pollut. Res. Int. 2018; 25(23): 22842–9. https://doi.org/10.1007/s11356-018-2396-1
  24. Li M., Hu S., Yu N., Zhang Y., Luo M. Association between meteorological factors and the rupture of intracranial aneurysms. J. Am. Heart Assoc. 2019; 8(17): e012205. https://doi.org/10.1161/jaha.119.012205
  25. Seinfeld J., Pandis S. Atmospheric Chemistry and Physics: From Air Pollution to Climate Change. John Wiley & Sons, Inc.; 2006.
  26. Evstafeva E.V., Lapchenko V.A., Makarova A.S., Burukhina T.F., Abibulaeva N.K., Evstafeva I.A. Assessment of the dynamics of the concentration of ground-level ozone and meteorological parameters as risk factors for the emergence of urgent health conditions of the population. Khimicheskaya fizika. 2019; 38(11): 42–51. https://doi.org/10.1134/S0207401X19110037 (in Russian)
  27. Stepanenko C.H., Voloshin V.G., Kuryshina V.Yu., Golovatyuk N.D. Accounting for meteorological factors in the calculation of multi-year fields of concentrations of pollutants for the assessment of environmental risks to public health. Geofizicheskiy zhurnal. 2012; 34(1): 105–14. (in Russian)
  28. Azad A.K., Rasul M.G., Alam M.M., Uddin S.A., Mondal S.K. Analysis of wind energy conversion system using Weibull distribution. Procedia Eng. 2014; 90: 725–32. https://doi.org/10.1016/j.proeng.2014.11.803
  29. Shoaib M., Siddiqui I., Amir Y.M., Rehman S.U. Evaluation of wind power potential in Baburband (Pakistan) using Weibull distribution function. Renew. Sustain. Energy Rev. 2017; 70: 1343–51. https://doi.org/10.1016/j.rser.2016.12.037
  30. Monzikova A.K., Kudryavtsev V.N., Larsen C.E., Shapron B.Zh.A. Estimation wind power potential of the Gulf of Finland. Uchenye zapiski Rossiyskogo gosudarstvennogo gidrometeorologicheskogo universiteta. 2013; 30: 116–33. (in Russian)
  31. Samburskiy D.N., Gora M.A., Krasnoshchekov Yu.V. Statistical analysis of wind load in Omsk. In: Collection of Materials of the III International Scientific and Practical Conference «Architectural, Construction and Road Transport Complexes: Problems, Prospects, Innovations» [Sbornik materialov III Mezhdunarodnoy nauchno-prakticheskoy konferentsii «Arkhitekturno-stroitel’nyy i dorozhno-transportnyy kompleksy: problemy, perspektivy, innovatsii»]. Omsk; 2019: 328–31. (in Russian)
  32. Khromov S.P., Petrosyants M.A. Meteorology and Climatology [Meteorologiya i klimatologiya]. Moscow; 2012. (in Russian)

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版权所有 © Khripach L.V., Budarina O.V., Zheleznyak E.V., Knyazeva T.D., Makovetskaya A.K., Koganova Z.I., Sabirova Z.F., Shipulina Z.V., 2024



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