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Radon-based technique for the analysis of atmospheric stability : a case study from Central Poland

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
An economical and easy-to-implement technique is outlined by which the mean nocturnal atmospheric mixing state (“stability”) can be assessed over a broad (city-scale) heterogeneous region solely based on near- -surface (2 m above ground level [a.g.l.]) observations of the passive tracer radon-222. The results presented here are mainly based on summer data of hourly meteorological and radon observations near Łodź, Central Poland, from 4 years (2008–2011). Behaviour of the near-surface wind speed and vertical temperature gradient (the primary controls of the nocturnal atmospheric mixing state), as well as the urban heat island intensity, are investigated within each of the four radon-based nocturnal stability categories derived for this study (least stable, weakly stable, moderately stable, and stable). On average, the most (least) stable nights were characterized by vertical temperature gradient of 1.1 (0.5)⁰C·m-1, wind speed of ~0.4 (~1.0) m·s-1, and urban heat island intensity of 4.5 (0.5)⁰C. For sites more than 20 km inland from the coast, where soils are not completely saturated or frozen, radon-based nocturnal stability classification can significantly enhance and simplify a range of environmental research applications (e.g. urban climate studies, urban pollution studies, regulatory dispersion modelling, and evaluating the performance of regional climate and pollution models).
Czasopismo
Rocznik
Strony
47--54
Opis fizyczny
Bibliogr. 33 poz., rys.
Twórcy
  • Department of Meteorology and Climatology Faculty of Geographical Sciences University of Lodz 88 Narutowicza St., 90-139 Łódź, Poland
  • ANSTO Institute for Environmental Research Locked Bag 2001, Kirrawee DC, NSW 2232, Australia
Bibliografia
  • 1. Pasquil, D. (1961). The estimation of the dispersion of windborne material. Met. Mag., 90, 33–49.
  • 2. Turner, B. (1964). A diffusion model for an urban area. J. Appl. Meteorol., 3, 83–91.
  • 3. Williams, A. G., Chambers, S. D., & Griffi ths, A. (2013). Bulk mixing and decoupling of the nocturnal stable boundary layer characterized using a ubiquitous natural tracer. Bound.-Layer Meteor., 149,381–402. doi: 10.1007/s10546-013-9849-3.
  • 4. Chambers, S. D., Williams, A. G., Crawford, J., & Griffiths, A. D. (2015). On the use of radon for quantifying the effects of atmospheric stability on urban emissions. Atmos. Chem. Phys., 15, 1175–1190.
  • 5. Chambers, S. D., Podstawczyńska, A., Williams, A. G., & Pawlak, W. (2016a). Characterising the influence of atmospheric mixing state on urban heat Island intensity using radon-222. Atmos. Environ., 147, 355–368.
  • 6. Chambers, S. D., Galeriu, D., Williams, A. G., Melintescu, A., Griffiths, A. D., Crawford, J., Dyer, L., Duma, M., & Zorila, B. (2016b). Atmospheric stability effects on potential radiological releases at a nuclear research facility in Romania: characterising the atmospheric mixing state. J. Environ. Radioact., 154, 68–82.
  • 7. Podstawczyńska, A. (2016). Differences of nearground atmospheric Rn-222 concentration between urban and rural area with reference to microclimate diversity. Atmos. Environ., 126, 225–234.
  • 8. Williams, A. G., Chambers, S. D., Conen, F., Reimann, S., Hill, M., Griffiths, A. D., & Crawford, J. (2016). Radon as a tracer of atmospheric influences on traffic-related air pollution in a small inland city. Tellus Ser. B-Chem. Phys. Meteorol., 68, 30967. DOI: 10.3402/tellusb.v68.30967.
  • 9. Turekian, K. K., Nozaki, Y., & Benninger, L. K. (1977). Geochemistry of atmospheric radon and radon products. Annu. Rev. Earth Planet. Sci., 5, 227–255.
  • 10. Balkanski, Y. J., Jacob, D. J., Gardner, G. M., Graustein, W. M., & Turekian, K. K. (1993). Transport and residence times of continental aerosols inferred from a global three-dimensional simulation of 210Pb. J. Geophys. Res.-Atmos., 98(D11), 20573–20586. DOI:10.1029/93JD02456.
  • 11. Szegvary, T., Conen, F., & Ciais, P. (2009). European 222Rn inventory for applied atmospheric studies. Atmos. Environ., 43(8), 1536–1539.
  • 12. Griffiths, A. D., Zahorowski, W., Element, A., & Werczynski, S. (2010). A map of radon flux at the Australian land surface. Atmos. Chem. Phys., 10, 8969–8982.
  • 13. Karstens, U., Schwingshackl, C., Schmithusen, D., & Levin, I. (2015). A process-based 222radon flux map for Europe and its comparison to long-term observations. Atmos. Chem. Phys., 15, 12845–12865. DOI: 10.5194/acp-15-12845-2015.
  • 14. Chambers, S. D., Williams, A. G., Zahorowski, W., Griffiths, A., & Crawford, J. (2011). Separating remote fetch and local mixing influences on vertical radon measurements in the lower atmosphere. Tellus Ser. B-Chem. Phys. Meteorol., 63, 843–859. DOI:10.1111/j.1600-0889.2011.00565.x.
  • 15. Wigand, A., & Wenk, F. (1928). Der gehalt der luftan radium-emanation, nach Messungenbei Flugzeugaufstiegen. Ann. Phys., 86(13), 657–686.
  • 16. Moses, H., Stehney, A. F., & Lucas, H. F. J. (1960). The effect of meteorological variables upon the vertical and temporal distributions of atmospheric radon. J. Geophys. Res., 65, 1223–1238.
  • 17. Sisigina, T. I. (1964). Vertical distribution of radon in the boundary layer of the atmosphere (0-300m) in connection with changing meteorological conditions. U.D.C.551.594.1. Izv. Geophys., 3, 414–421.
  • 18. Hosler, C. R. (1966). Meteorological effects on atmospheric concentrations of radon (Rn222), RaB (Pb214), and RaC (Bi214) near the ground. Mon. Weather Rev., 94, 89.
  • 19. Allegrini, I., Febo, A., Pasini, A., & Schiarini, S. (1994). Monitoring of the nocturnal mixed layer by means of participate radon progeny measurement. J. Geophys. Res.-Atmos., 99, 18765–18777. DOI: 10.1029/94JD00783.
  • 20. Desideri, D., Roselli, C., Feduzi, L., & Meli, M. A. (2006). Monitoring the atmospheric stability by using radon concentration measurements: a study in a central Italy site. J. Radioanal. Nucl. Chem., 270, 523–530.
  • 21. Vecchi, R., Marcazzan, G., & Valli, G. (2007). A study on nighttime–daytime PM10 concentration and elemental composition in relation to atmospheric dispersion in the urban area of Milan (Italy). Atmos. Environ., 41, 2136–2144.
  • 22. Wang, F., Zhang, H., Ancora, M. P., & Deng, X. -D. (2013). Measurement of atmospheric stability index by monitoring radon natural radioactivity. China Environ. Sci., 33(4), 594–598.
  • 23. Avino, P., Brocco, D., Lepore, L., & Pareti, S. (2003). Interpretation of atmospheric pollution phenomena in relationship with the vertical atmospheric remixing by means of natural radioactivity measurements (radon) of particulate matter. Ann. Chim., 93(5/6), 589–594.
  • 24. Pitari, G., De Luca, N., Coppari, E., Di Carlo, P., & Di Genova, G. (2015). Seasonal variation of night-time accumulated Rn-222 in central Italy. Environ. Earth Sci.,73(12), 8589–8597. DOI: 10.1007/s12665-015-4023-5.
  • 25. Bulko, M., Holy, K., & Mullerova, M. (2018). On the relation between outdoor 222Rn and atmospheric stability determined by a modifi ed Turner method. J. Environ. Radioact., 189, 79–92.
  • 26. Cohen, L. D., Barr., S., Krablin, R., & Newstein, H. (1972). Steady-state vertical turbulent diffusion of radon. J. Geophys. Res., 77, 2654–2668.
  • 27. Fujinami, N., & Osaka, S. (1987). Variations in radon 222 daughter concentrations in surface air with atmospheric stability. J. Geopys. Res.-Atmos., 92(d1),1041–1043.
  • 28. Perrino, C., Pietrodangelo, A., & Febo, A. (2001). An atmospheric stability index based on radon progeny measurements for the evaluation of primary urban pollution. Atmos. Environ., 35, 5235–5244.
  • 29. Perrino, C. (2012). Natural radioactivity from radon progeny as a tool for the interpretation of atmospheric pollution events. In Sources and measurements of radon and radon progeny applied to climate and air quality studies (pp. 151–159). Vienna: International Atomic Energy Agency. (IAEA Proceedings Series).
  • 30. Pal, S., Lopez, M., Schmidt, M., Ramonet, M., Gibert, F., Xueref-Remy, I., & Ciais, P. (2015). Investigation of the atmospheric boundary layer depth variability and its impact on the 222Rn concentration at a rural site in France. J. Geophys. Res.-Atmos., 120, 623–643.DOI: 10.1002/2014JD022322.
  • 31. Williams, A. G., Zahorowski, W., Chambers, S. D., Griffi ths, A., Hacker, J. M., Element, A., & Werczynski, S. (2011). The vertical distribution of radon in clear and cloudy daytime terrestrial boundary layers. J. Atmos. Sci., 68, 155–174. DOI: 10.1175/2012JAS3576.1.
  • 32. Pal, S. (2014). Monitoring depth of shallow atmospheric boundary layer to complement LiDAR measurements affected by partial overlap. Remote Sens., 6(9), 8468–8493.
  • 33. Wang, F., Chambers, S. D., Zhang, Z., Williams, A. G.,Deng, X., Zhang, H., Lonati, G., Crawford, J., Griffiths, A. D., Ianniello, A., & Allegrini, I. (2016). Quantifying stability influences on air pollution in Lanzhou, China, using a radon-based “stability monitor”: seasonality and extreme events. Atmos. Environ., 145, 376–391
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-413dccac-9bcb-41b4-9fd1-ab9971b783bc
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