Quantifying aerial concentrations of maize pollen in the atmospheric surface layer using remote-piloted airplanes and Lagrangian stochastic modeling

Journal of Applied Meteorology and Climatology

Volumn 45, Issue 7, 2006, Pages 1003-1015

  Aylor, Donald E ^a   Boehm, Matthew T ^a   Shields, Elson J ^b  

^a The Connecticut Agricultural Experiment Station ^*  (United States)

^b Department of Obstetrics Gynecology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TURBULENCE; CROPS; FLIGHT SIMULATORS; MODIFICATION; RANDOM PROCESSES; SAMPLING;

LAGRANGIAN STOCHASTIC (LS) MODEL; MAIZE POLLEN; REMOTE-PILOTED VEHICLES (RPVS); ROTOROD SAMPLERS;

ATMOSPHERIC COMPOSITION;

ATMOSPHERE; GENETICALLY MODIFIED ORGANISM; MAIZE; PALYNOLOGY; REMOTE SENSING; SURFACE LAYER;

REINDEER PAPILLOMAVIRUS; ZEA MAYS;

EID: 33747032555     PISSN: 15588424     EISSN: None     Source Type: Journal    
DOI: 10.1175/JAM2381.1     Document Type: Article

References (43)

1. Aylor, D. E., 1990: The role of intermittent wind in the dispersal of fungal pathogens. Annu. Rev. Phytopathol., 28, 73-92.
2. Aylor, D. E., 1993: Relative collection efficiency of Rotorod and Burkard spore samplers for airborne Venturia inaequalis ascospores. Phytopathology, 83, 1116-1119.
3. Aylor, D. E., 2002: Settling speed of corn (Zea mays) pollen. J. Aerosol Sci., 33, 1599-1605.
4. Aylor, D. E., 2003: Rate of dehydration of corn (Zea mays L.) pollen in the air. J. Exp. Bot., 54, 2307-2312.
5. Aylor, D. E., 2004: Survival of maize (Zea mays) pollen exposed in the atmosphere. Agric. For. Meteor., 123, 125-133.
6. Aylor, D. E., 2005: Quantifying maize pollen movement in a maize canopy. Agric. For. Meteor., 131, 247-256.
7. Aylor, D. E., and J. Qiu, 1996: Micrometeorological determination of release rate of Venturia inaequalis ascospores from a ground-level source during rain. Agric. For. Meteor., 81, 157-178.
8. Aylor, D. E., and T. K. Flesch, 2001: Estimating spore release rates using a Lagrangian stochastic simulation model. J. Appl. Meteor., 40, 1196-1208.
9. Aylor, D. E., W. E. Fry, H. Mayton, and J. L. Andrade-Piedra, 2001: Quantifying the rate of release and escape of Phytophthora infestans sporangia from a potato canopy. Phytopathology, 91, 1189-1196.
10. Aylor, D. E., N. P. Schultes, and E. J. Shields, 2003: An aerobiological framework for assessing cross-pollination in maize. Agric. For. Meteor., 119, 111-129.
11. Beyer, W. H., 1978: CRC Handbook of Mathematical Sciences. CRC Press, 982 pp.
12. Boehm, M. T., and D. E. Aylor, 2005: Lagrangian stochastic modeling of heavy particle transport in the convective boundary layer. Atmos. Environ., 39, 4841-4850.
13. Brunet, Y., X. Foueillassar, A. Audran, D. Garrigou, and S. Dayau, 2004: Evidence for long-range transport of viable maize pollen. Preprints, 16th Conf. on Biometeorology and Aerobiology, Vancouver, BC, Canada, Amer. Meteor. Soc., CD-ROM, P4A.2.
14. Csanady, G. T., 1963: Turbulent diffusion of heavy particles in the atmosphere. J. Atmos. Sci., 20, 201-208.
15. Csanady, G. T., 1973: Turbulent Diffusion in the Environment. Reidel, 248 pp.
16. Daniell, H., S. J. Streatfield, and K. Wycoff, 2001: Medical molecular farming: Production of antibodies, biopharmaceuticals and edible vaccines in plants. Trends Plant Sci., 6, 219-226.
17. Feingold, G., and Z. Levin, 1986: The lognormal fit to raindrop spectra from frontal convective clouds in Israel. J. Climate Appl. Meteor., 25, 1346-1363.
18. Flesch, T. K., and J. D. Wilson, 1992: A two-dimensional trajectory-simulation model for non-Gaussian, inhomogeneous turbulence within plant canopies. Bound.-Layer Meteor., 61, 349-374.
19. Flesch, T. K., L. A. Harper, B. P. Crenna, and R. R. Sharpe, 2004: Deducing ground-to-air emissions from observed trace gas concentrations: A field trial. J. Appl. Meteor., 43, 487-502.
20. Fox, D. G., 1984: Uncertainty in air quality modeling. Bull. Amer. Meteor. Soc., 65, 27-36.
21. Gottwald, T. R., and W. L. Tedders, 1985: A spore and pollen trap for use on aerial remotely piloted vehicles. Phytopathology, 75, 801-807.
22. Gregory, P. H., T. J. Longhurst, and T. Sreeramulu, 1961: Dispersion and deposition of airborne Lycopodium and Ganoderma spores. Ann. Appl. Biol., 49, 645-658.
23. Jarosz, N., B. Loubet, B. Durand, H. A. McCartney, X. Foueillassar, and L. Huber, 2003: Field measurements of airborne concentrations and deposition rate of maize pollen. Agric. For. Meteor., 119, 37-51.
24. Jarosz, N., X. Foueillassar, and L. Huber, 2005: Variations in maize pollen emission and deposition in relation to microclimate. Environ. Sci., Technol., 39, 4377-4384.
25. May, K. R., and R. Clifford, 1967: Impaction of aerosol particles on cylinders, spheres, ribbons and discs. Ann. Occup. Hyg., 10, 83-95.
26. Noll, K. E., 1970: A rotary inertial impactor for sampling giant particles in the atmosphere. Atmos. Environ., 4, 9-19.
27. Rao, K. S., 2005: Uncertainty analysis in atmospheric dispersion modeling. Pure Appl. Geophys., 162, 1893-1917.
28. Raupach, M. R., R. A. Antonia, and S. Rajagopalan, 1991: Rough-wall turbulent boundary layers. Appl. Mech. Rev., 44, 1-25.
29. Raynor, G. S., E. C. Odgen, and J. V. Hayes, 1972: Dispersion and deposition of corn pollen from experimental sources. Agron. J., 64, 420-427.
30. Rodean, H. C., 1996: Stochastic Lagrangian Models of Turbulent Diffusion. Meteor. Monogr., No. 48, Amer. Meteor. Soc., 84 pp.
31. Sawford, B. L., and F. M. Guest, 1991: Lagrangian statistical simulation of the turbulent motion of heavy particles. Bound-Layer Meteor., 54, 147-166.
32. Seinfeld, J. H., 1986: Atmospheric Chemistry and Physics of Air Pollution. John Wiley and Sons, 738 pp.
33. Shields, E. J., and A. M. Testa, 1999: Fall migratory flight initiation of the potato leafhopper Empoasca fabae (Homoptera: Cicadellidae): Observations in the lower atmosphere using remote piloted vehicles. Agric. For. Meteor., 97, 317-330.
34. Stein, A. S., and J. C. Wyngaard, 2001: Fluid modeling and the evaluation of inherent uncertainty. J. Appl. Meteor., 40, 1769-1774.
35. Stull, R. B., 1988: An Introduction to Boundary Layer Meteorology. Kluwer, 666 pp.
36. Thomson, D. J., 1987: Criteria for the selection of stochastic models of particle trajectories in turbulent flows. J. Fluid Mech., 180, 529-556.
37. Weil, J. C., R. I. Sykes, and A. Venkatram, 1992: Evaluating air-quality models: Review and outlook. J. Appl. Meteor., 31, 1121-1145.
38. Weil, J. C., L. A. Corio, and R. P. Brower, 1997: A PDF dispersion model for buoyant plumes in the convective boundary layer. J. Appl. Meteor., 36, 982-1003.
39. Willis, G. E., and J. W. Deardorff, 1976: A laboratory model of diffusion into the convective planetary boundary layer. Quart. J. Roy. Meteor. Soc., 102, 427-445.
40. Wilson, J. D., 2000: Trajectory models for heavy particles in atmospheric turbulence: Comparison with observation. J. Appl. Meteor., 39, 1894-1912.
41. Wilson, J. D., D. P. Ward, G. W. Thurtell, and G. E. Kidd, 1982: Statistics of atmospheric turbulence within a corn canopy. Bound-Layer Meteor., 24, 495-519.
42. Wilson, J. D., T. K. Flesch, and R. D'Amours, 2001: Surface delays for gases dispersing in the atmosphere. J. Appl. Meteor., 40, 1422-1430.
43. Yee, E., P. R. Kosteniuk, G. M. Chandler, C. A. Biltoft, and J. F. Bowers, 1993: Statistical characteristics of concentration fluctuations in dispersing plumes in the atmospheric surface layer. Bound.-Layer Meteor., 65, 69-109.