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Aerobiologia

, Volume 32, Issue 3, pp 385–394 | Cite as

Terminal settling velocity and physical properties of pollen grains in still air

  • Yuuki Hirose
  • Kazuo OsadaEmail author
OriginalPaper

Abstract

Numerical simulation of wind pollination requires knowledge of pollen grain physical parameters such as size, shape factor, bulk density, and terminal settling velocity. The pollen grain parameters for Japanese cedar, Japanese cypress, short ragweed, Japanese black pine, and Japanese red pine were assessed for dry condition. Terminal settling velocities of dry pollen grains in still air were measured using image analysis of scattered light tracks in a dark settling tube. The measurement system was validated by comparing results to those obtained for standard microspheres of known size and density. Dry pollen grain shape factors indicate the resemblance of particles to spheres, except for pine pollen. Circularity factors of dry pine pollen grains were 0.90–0.86, suggesting more irregular shape than those of other pollen species. Aerodynamic diameters of dry pollen grains were calculated based on the terminal settling velocity. Aerodynamic diameters of Japanese cedar, Japanese cypress, and short ragweed closely resembled the projected area equivalent diameters, suggesting that aerodynamic behaviors of these pollen grains can be managed simply in numerical simulations. However, aerodynamic diameters of dry pine pollen grains were nearly 30 % smaller than projected area equivalent diameters. Sacci on dry pine pollen can reduce the terminal settling velocity through low density and shape effects attributed to their non-sphericity, engendering aerodynamic diameter smaller by more than 10 µm from area equivalent diameters.

Keywords

Pollen grain Shape factors Settling velocity Aerodynamic diameter 

Notes

Acknowledgments

This research was supported financially by JSPS KAKENHI Grant Nos. 23310004, 25220101, and 15H02803, and by the Environment Research and Technology Development Fund (5B-1202) of the Ministry of the Environment, Japan. We thank Keyence Corporation for the use of the newest digital microscope: VHX-5000.

References

  1. Aylor, D. E. (2002). Settling speed of corn (Zea mays) pollen. Journal of Aerosol Science, 33, 1601–1607.CrossRefGoogle Scholar
  2. Barajas, J., Cortes-Rodriguez, M., & Rodriguez-Sandoval, E. (2012). Effect of temperature on the drying process of bee pollen from two zones of Colombia. Journal of Food Process Engineering, 35(1), 134–148.CrossRefGoogle Scholar
  3. Connor, K. F., & Towill, L. E. (1993). Pollen-handling protocol and hydration/dehydration characteristics of pollen for application to long-term storage. Euphytica, 68(1–2), 77–84.CrossRefGoogle Scholar
  4. D’Amato, G., Cecchi, L., Bonini, Z., Nunes, C., Annesi-Maesano, I., Behrendt, H., et al. (2007). Allergenic pollen and pollen allergy in Europe. Allergy, 62, 976–990.CrossRefGoogle Scholar
  5. Di-Giovanni, F., & Kevan, E. G. (1991). Factors affecting pollen dynamics and its importance to pollen contamination: A review. Canadian Journal of Forest Research, 21, 1155–1170.CrossRefGoogle Scholar
  6. Di-Giovanni, F., Kevan, P. G., & Nasr, M. E. (1995). The variability in settling velocities of some pollen and spores. Grana, 34, 39–44.CrossRefGoogle Scholar
  7. Durham, O. C. (1943). The volumetric incidence of atmospheric allergens: I. Specific gravity of pollen grains. Journal of Allergy, 14(6), 455–461.CrossRefGoogle Scholar
  8. Durham, O. C. (1946). The volumetric incidence of atmospheric allergens. III. Rate of fall of pollen grains in still air. Journal of Allergy, 17, 70–78.CrossRefGoogle Scholar
  9. Efstathiou, C., Isukapalli, S., & Georgopoulos, P. (2011). A mechanistic modeling system for estimating large-scale emissions and transport of pollen and co-allergens. Atmospheric Environment, 45(13), 2260–2276.CrossRefGoogle Scholar
  10. Gregory, P. H. (1973). The microbiology of the atmosphere (2nd ed.). New York: Wiley.Google Scholar
  11. Griffiths, P. T., Borlace, J. S., Gallimore, P. J., Kalberer, M., Herzog, M., & Pope, F. D. (2012). Hygroscopic growth and cloud activation of pollen: A laboratory and modelling study. Atmospheric Science Letters, 13(4), 289–295.CrossRefGoogle Scholar
  12. Harrington, J. B, Jr, & Metzger, K. (1963). Ragweed pollen density. American Journal of Botany, 50, 532–539.CrossRefGoogle Scholar
  13. Helbig, N., Vogel, B., Vogel, H., & Fiedler, F. (2004). Numerical modelling of pollen dispersion on the regional scale. Aerobiologia, 20(1), 3–19.CrossRefGoogle Scholar
  14. Heslop-Harrison, J. (1979). Pollen walls as adaptive systems. Annals of the Missouri Botanical Garden, 66, 813–829.CrossRefGoogle Scholar
  15. Hinds, W. C. (1999). Aerosol technology: Properties, behavior, and measurement of airborne particles. New York: Wiley.Google Scholar
  16. Ichikura, M., & Iwanami, Y. (1981). Studies of fall-velocity of pollen grains. Japanese Journal of Palynology, 27, 5–13.Google Scholar
  17. Katifori, E., Alben, S., Cerda, E., Nelson, D. R., & Dumais, J. (2010). Foldable structures and the natural design of pollen grains. Proceedings of the National Academy of Sciences, 107(17), 7635–7639.CrossRefGoogle Scholar
  18. Kawashima, S., & Takahashi, Y. (1995). Modelling and simulation of mesoscale dispersion processes for airborne cedar pollen. Grana, 34, 142–150.CrossRefGoogle Scholar
  19. Lewis, W. H., Vinay, P., & Zenger, V. E. (1983). Airborne and allergenic pollen of North America. Baltimore: Johns Hopkins University Press.Google Scholar
  20. Loubet, B., Jarosz, N., Saint-Jean, S., & Huber, L. (2007). A method for measuring the settling velocity distribution of large biotic particles. Aerobiologia, 23, 159–169.CrossRefGoogle Scholar
  21. Niklas, K. J. (1992). Plant biomechanics: An engineering approach to plant form and function. Chicago: University of Chicago Press.Google Scholar
  22. Okamoto, Y., Horiguchi, S., Yamamoto, H., Yonekura, S., & Hanazawa, T. (2009). Present situation of cedar pollinosis in Japan and its immune responses. Allergology International, 58, 155–162.CrossRefGoogle Scholar
  23. Pasken, R., & Pietrowicz, J. A. (2005). Using dispersion and mesoscale meteorological models to forecast pollen concentrations. Atmospheric Environment, 39(40), 7689–7701.CrossRefGoogle Scholar
  24. Sabban, L., & van Hout, R. (2011). Measurements of pollen grain dispersal in still air and stationary, near homogeneous, isotropic turbulence. Journal of Aerosol Science, 42, 867–882.CrossRefGoogle Scholar
  25. Sawyer, A. J., Griggs, M. H., & Wayne, R. (1994). Dimensions, density, and settling velocity of Entomophthoralean Conidia: Implications for aerial dissemination of Spores. Journal of Invertebrate Pathology, 63, 43–55.CrossRefGoogle Scholar
  26. Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012). NIH Image to Image J: 25 years of image analysis. Nature Methods, 9, 671–675.CrossRefGoogle Scholar
  27. Schueler, S., & Schlünzen, K. H. (2006). Modeling of oak pollen dispersal on the landscape level with a mesoscale atmospheric model. Environmental Modeling and Assessment, 11(3), 179–194.CrossRefGoogle Scholar
  28. Schwendemann, A. B., Wang, G., Mertz, M. L., McWilliams, R. T., Thatcher, S. L., & Osborn, J. M. (2007). Aerodynamics of saccate pollen and its implications for wind pollination. American Journal of Botany, 94, 1371–1381.CrossRefGoogle Scholar
  29. Sofiev, M., Belmonte, J., Gehrig, R., Izquierdo, R., Smith, M., Dahl, Å., et al. (2013). Airborne pollen transport. In M. Sofiev & K.-C. Bergmann (Eds.), Allergenic pollen: A review of the production, release, distribution and health impacts. Dordrecht: Springer.CrossRefGoogle Scholar
  30. Tang, P., Chan, H.-K., & Raper, J. A. (2004). Prediction of aerodynamic diameter of particles with rough surfaces. Powder Technology, 147, 64–78.CrossRefGoogle Scholar
  31. Ukkelberg, H. G. (1933). The rate of fall of spores in relation to the epidemiology of black stem rust. Bulletin of the Torrey Botanical Club, 60, 211–228.CrossRefGoogle Scholar
  32. van Hout, R., & Katz, J. (2004). A method for measuring the density of irregularly shaped biological aerosols such as pollen. Journal of Aerosol Science, 35, 1369–1384.CrossRefGoogle Scholar
  33. Watrud, L. S., Lee, E. H., Fairbrother, A., Burdick, C., Reichman, J. R., Bollman, M., et al. (2004). Evidence for landscape-level, pollen-mediated gene flow from genetically modified creeping bentgrass with CP4 EPSPS as a marker. Proceedings of the National Academy of Sciences of the United States of America, 101, 14533–14538.CrossRefGoogle Scholar
  34. Yamada, T., Saito, H., & Fujieda, S. (2014). Present state of Japanese cedar pollinosis: The national affliction. Journal of Allergy and Clinical Immunology, 133, 632–639.CrossRefGoogle Scholar
  35. Zeleny, J., & McKeehan, L. W. (1910). The terminal velocity of fall of small spheres in air. Phys. Rev. (Ser. I), 30, 535–560.CrossRefGoogle Scholar
  36. Zink, K., Vogel, H., Vogel, B., Magyar, D., & Kottmeier, C. (2012). Modeling the dispersion of Ambrosia artemisiifolia L. pollen with the model system COSMO-ART. International Journal of Biometeorology, 56(4), 669–680.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Graduate School of Environmental StudiesNagoya UniversityNagoyaJapan
  2. 2.Panasonic CorporationOsakaJapan

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