Parallel implementation of a Lagrangian stochastic model for pollutant dispersion

International Journal of Parallel Programming

Volumn 33, Issue 5, 2005, Pages 485-498

  Roberti, Debora R ^a   Souto, Roberto P ^b   De Campos Velho, Haroldo F ^b   Degrazia, Gervasio A ^a   Anfossi, Domenico ^c  

^a FEDERAL UNIVERSITY OF SANTA MARIA   (Brazil)

^b INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

^c CNR   (Italy)

Author keywords

High performance application; MPI; Pollutant dispersion

Indexed keywords

COSTS; LAGRANGE MULTIPLIERS; MATHEMATICAL MODELS; PARALLEL PROCESSING SYSTEMS; RELIABILITY; STOCHASTIC CONTROL SYSTEMS;

LAGRANGIAN STOCHASTIC MODELS; POLLUTANT DISPERSION;

AIR POLLUTION;

EID: 26244456933     PISSN: 08857458     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10766-005-7302-z     Document Type: Conference Paper

References (23)

1. A. K. Blackadar, Turbulence and Diffusion in the Atmosphere, Springer Verlag (1997).
2. R. B. Stull, An Introduction to Boundary Layer Meteorology, Kluwer Academic Publishers (1988).
3. T. K. Flesch and J. D. Wilson, Backward-Time Lagrangian Stochastic Dispersion Models and their Application to Estimate Gaseous Emissions, J. Appl. Meteorol., 34:1320-1333 (1995).
4. M. R. Raupach, A Practical Lagrangian Method for Relating Scalar Concentrations to Source Distributions in Vegetation Canopies, Q. J. R. Meteorol Soc., 115:609-632 (1989).
5. M. Siqueira, C-T Lai, and G. Katul, Estimating Scalar Sources, Sink and Fluxes in a Forest Canopy using Lagrangian, Eulerian, and Hybrid Inverse Models, J. Geophys. Res., 105(D24):29475-29488 (2000).
6. G. G. Katul, R. Leuning, J. Kim, O. T. Denmead, A. Miyata, and Y. Harazon, Estimation CO2 Source/Sink Distribution within a Rice Canopy using Higher-Order Closure Models, Boundary-Layer Meteorol., 98:103-125 (2001).
7. S. Taguchi, A Three-Dimensional of Atmospheric CO2 Transport Based on Analyzed Winds: Models Description and Simulation Results for TRANSCOM, J. Geophys. Res., 101(D10): 15099-15109 (1996).
8. th Symposium on Boudary Layer and Turbulence, American Meteorological Society, Boston, pp. 630-632, (2000).
9. P. Kasibhatla, M. Heimann, P. Rayner, N. Mahowald, R. Prinn, and D. Hartley (Editors), Inverse Methods in Global Biogeochemical Cycles, Vol. 114 (Geophysical Monograph), American Geophysical Union, USA (2001).
10. MPI Forum, MPI: A Message-Passing Interface Standard, Int. J. Supercomp. Appl., 8:3-4 (1994).
11. E. Ferrero, D. Anfossi, and G. Brusasca, Lagrangian Particle Model LAMBDA: Evaluation Against Tracer Data, Int. J. Environ Poll., 5:360-374 (1995).
12. E. Ferrero and D. Anfossi, Sensitivity Analysis of Lagrangian Stochastic Models for CBL with Different PDF's and Turbulence Parameterizations, in S.E. Gryning and N. Chaumerliac (eds.), Air Pollution Modelling and its Applications XII, Plenum Press, New York, pp. 673-680, (1998a).
13. E. Ferrero and D. Anfossi, Comparison of PDFs, Closures Schemes and Turbulence Parameterizations in Lagrangian Stochastic Models, Int. J. Environ. Poll, 9:384-410 (1998b).
14. E. Ferrero, D. Anfossi, G. Tinarelli, and M. Tamiazzo, Intercomparison of Lagrangian Stochastic Models Based on Two Different PDF's. Int. J. Environ. Poll, 14:225-234 (2000).
15. D. J. Thomson, Criteria for the Selection of Stochastic Models of Particle Trajectories in Turbulent Flows, J. Fluid Mech., 180:529-556 (1987).
16. H. C. Rodean, Stochastic Lagrangian Models of Turbulent Diffusion, American Meteorology Society, Boston (1996).
17. D. Anfossi, E. Ferrero, D. Sacchetti, and S. Trini Castelli, Comparison among Empirical Probability Density Functions of the Vertical Velocity in the Surface Layer Based on Higher Order Correlations, Boundary Layer Meteorol., 82:193-218 (1996).
18. M. Kendall and A. Stuart, The Advanced Theory of Statistic, MacMillan, New York, USA (1977).
19. G. A. Degrazia, D. Anfossi, J. C. Carvalho, C. Mangia, T. Tirabassi, and H. F. Campos Velho, Turbulence Parameterization for PBL Dispersion Models in all Stability Conditions, Atmos. Environ., 34:3575-3583 (2000).
20. P. Pacheco, Parallel Programming with MPI, Morgan Kaufmann Publishers, San Francisco, USA (1996).
21. S. E. Gryning and E. Lyck, Atmospheric Dispersion from Elevated Source in an Urban Area: Comparison between Tracer Experiments and Model Calculations, J. Clim. Appl. Meteorol., 23:651-654 (1984).
22. S. E. Gryning and E. Lyck, The Copenhagen Tracer Experiments: Reporting of Measurements. RIS National Laboratory, ISBN 87-550-2395-9. 54 p. (only available in an electronic version at: http://www.risoe.dk/rispubl/VEA/ris-r- 1054.htm) (1998).
23. J. C. Carvalho, G. A. Degrazia, D. Anfossi, C. R. J de Campos, D. R. Roberti, and A. Kerr, Lagrangian Stochastic Dispersion Modelling for the Simulation of Contaminants Released from Tall and Low Stacks, Meteorol. Z., 11(2):89-97 (2002).