Air quality modelling: A technical review of mathematical approaches

Meteorological Applications

Volumn 4, Issue 3, 1997, Pages 235-246

  Collett, Richard S ^a   Oduyemi, Kehinde ^a  

^a UNIVERSITY OF ABERTAY DUNDEE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

PHILOSOPHICAL ASPECTS;

AIR QUALITY MODELLING; LAGRANGIAN; MATHEMATICAL APPROACH; PARTICLE MODELLING; REVIEW PAPERS; SOURCE MATERIAL; TECHNICAL ASPECTS; TECHNICAL REVIEWS;

AIR QUALITY;

AIR QUALITY; ATMOSPHERIC MODELING; DETECTION METHOD; MATHEMATICAL ANALYSIS;

EID: 0000818286     PISSN: 13504827     EISSN: None     Source Type: Journal    
DOI: 10.1017/S1350482797000455     Document Type: Article

References (69)

1. Abbot, M. B. & Basco, D. R. (1989). Computational fluid dynamics: an introduction for engineers. Harlow, Essex, Longman Scientific & Technical.
2. Amsden, A. A. (1966). The particle in cell method for the calculation of the dynamics of compressible fluids. Los Alamos Scientific Laboratory, Rep LA-3466.
3. Baldasano, J. M., Brebbia, C. A., Power, H. & Zannetti, P. (1994a). Computer simulation. Air pollution II, Vol 1. Southampton, UK, Computational Mechanics Publications.
4. Baldasano, J. M., Brebbia, C. A., Power, H. & Zannetti, P. (1994b). Pollution control and monitoring. Air pollution II, Vol 2. Southampton, UK, Computational Mechanics Publications.
5. Boubel, R.W., Donald, L.F., Turner, D.B. & Stern, C. (1994). Fundamentals of air pollution 4th edn. San Diego, Academic Press.
6. Briggs, G.A. (1973). Diffusion estimation for small emissions in environmental research labs. USAEC Report ATDL-106, Nat. Oceanic and Atmos. Admin., 83-147.
7. Brown, R. A. (1991). Fluid mechanics of the atmosphere. San Diego, Academic Press.
8. Canadian Standards Association (1991). Guidelines for calculating radiation doses to the public from a release of airborne radioactive material under hypothetical accident conditions in nuclear facilities, Canadian Standards Association Standard, N 288.1.
9. Chock, D. P. (1991). A comparison of numerical methods for solving the advection equation-III. J. Envron. Software, 25A: 853-871.
10. Drivas, P. J., Chan, M. W. & Wayne, L. G. (1975). Validation of an improved photochemical air quality simulation model. In Proceedings of AMS Joint Conference on Applications of Air Pollution Meteorology, Salt Lake City,Utah.
11. Gifford, F. A. (1976). Consequences of effluent release. J. Nuclear Safety, 17: 68-86.
12. Gifford, F. A. & Hanna, S. R. (1973). Modelling urban air pollution. J. Atmos. Environ. 7 131-136.
13. Gifford, F. A. & Sklarew, R. C. (1961). Use of routine meteorological observations for estimating atmospheric dispersion. J. Nuclear Safety, 2: 47-51.
14. Green, A. E. S., Singhal, R. P. & Venkateswar, R. (1980). Analytic extensions of the Gaussian plume model. J. Air Pollut. Control Assoc., 30: 73-776.
15. Hales, J. M., Powell, D. C. & Fox, T. D. (1977). STRAM: An air pollution model incorporating non-linear chemistry, variable trajectories and plume segment diffusion. Research Triangle Park, NC, Document 450/ 377012:USEPA.
16. Hanna, S. R. (1979). Some statistics of Lagrangian and Eulerian wind Fluctuations. J. Appl. Meteorol., 18: 518-525.
17. Hansen, D. A., Dennis, R. L., Ebel, A., Hanna, S. R. & Kaye, J. (1994). The quest for an advanced regional air quality model. J. Environ. Sci. Technol., 28: 71A-77A.
18. Hirch, C. (1988a). Numerical computation of internal and external flows: fundamentals of numerical discretization, Vol 1. New York, John Wiley & Sons.
19. Hirch, C. (1988b). Numerical computation of internal and external flow: computational methods for inviscid and viscous flows, Vol 2. New York, John Wiley & Sons.
20. Hockney, R. W. & Eastwood, J. W. (1981). Computer simulation using particles. New York, McGraw-Hill Inc.
21. Holnicki, P., Kaluszko, A. & Zochowski, A. (1994). A microcomputer implementation of an urban-scale air quality forecasting system. J. Microcomputer Appl. 13: 76-84.
22. Irwin, J. S. (1980). Dispersion estimates suggestion #9: Processing wind data. Research Triangle Park, NC, Ref. No. IIB33, USEPA.
23. Jaarsveld, van J. A. & de Leeuw, F. A. A. M. (1993). OPS: An operational atmospheric transport model for priority substances. J. Environ. Software, 8, Part 2: 91-100.
24. Janssen, L. H. J. M., Nieuwstadt, F. T. M. & Donze, M. (1990). Timescales of physical and chemical processes in chemically reactive plumes. J. Atmos. Environ., 24A: 2861-2874.
25. Jazcilevich, D. A. & Fuentes-Gea, V. (1994). The random choice method in the numerical transport of the atmospheric transport equation. J. Environ. Software, 9, Part 1: 23-31.
26. Jensen, N. O. & Petersen, E. L. (1979). The box model and the acoustic sounder: a case study. J. Atmos. Environ., 13: 717-720.
27. Lamb, R. G. (1973). Note on the application of K theory to turbulent diffusion problems involving chemical reactions. J. Atmos. Environ., 7: 235.
28. Lane, P. (1995). Environmental Protection Act 1990. Blackstone.
29. Lange, R. (1978). ADPIC: a three dimensional particle in cell for the dispersal of atmospheric pollutants and its comparison to regional tracer studies. J. Appl. Meteorol., 17: 320-329.
30. Lee, R. L. (1994). Numerical modelling of three dimensional flow and pollutant dispersion around structures. J. Environ. Software, 9: 175-187.
31. Lettau, H. H. (1970). Physical and meteorological basis for mathematical models of urban diffusion processes. In Proceedings, Symposium on Multiple Source Urban Diffusion Models. USEPA No. AP-86.
32. Lewellen, W. S. & Teske, M. E. (1976). Second order closure modelling of diffusion in the atmospheric boundary layer. J. Boundary Layer Meteorol., 10: 69-90.
33. Ley, A. J. (1982). A random walk simulation of two dimensional turbulent diffusion in the neutral surface layer. J. Atmos. Environ., 16: 2799-2808.
34. Longhurst, J. W. S., Lindley, S. J. & Conlan, D. E. (1994). Towards local air quality management in the United Kingdom. In Proceedings of the 2nd International Conference on Air Pollution PT2 525-532.
35. Martin, D. O. (1976). The change of concentration standard deviations with distance. J. Air Pollut. Control Assoc., 26: 145-146.
36. Masters, G. M. (1991). Introduction to environmental engineering and science. New Jersey: Prentice Hall.
37. McNider, R. T., Singh, M. P. & Lin, J. T. (1993). Diurnal wind-structure variations and dispersion of pollutants in the boundary layer. J. Atmos. Environ., 27A: 2199-2214.
38. Milford, J. B. & Russell, A. G. (1993) Atmospheric models: atmospheric pollutant dynamics, meteorology and climate. In Environmental modelling, Vol 1, (Zannetti, P., editor), Southampton, Computational Mechanics Publications.
39. Nieuwstadt, F. T. M. & Dop, van H. (1982). Atmospheric turbulence and air pollution. Dordrecht, Holland, D. Reidel Publishing Co.
40. Nieuwstadt, F. T. M., Eggels, J. G. M., Janssen, R. J. A. & Pourquie, M. B. J. M. (1994). Direct and large-eddy simulations of turbulence in fluids. J. Future Generation Computer Systems, 10: 189-205.
41. Odman, M. T. & Russell, G. A. (1994). On local finite element refinements in multiscale air quality modelling. J. Envron. Software, 9, Part 1: 61-66.
42. Panofsky, H. A. & Dutton, J. A. (1984). Atmospheric turbulence: models and methods for engineering applications. John Wiley & Sons, Inc.
43. Pasquill, F. (1961). The estimation of the dispersion of wind borne material. Meteorol. Mag., 90: 33-49.
44. Pasquill, F. (1971). Atmospheric dispersion of pollution. J. R. Meteorol. Soc., 97: 369-395.
45. Pasquill, F. & Smith, F. B. (1983). Atmospheric diffusion 3rd edn. New York, John Wiley & Sons.
46. Pielke, R. A. (1984). Mesoscale meteorological modelling. San Diego, Academic Press.
47. Pielke, R. A., McNider, R. T., Segal, M. & Mahrer, Y. (1983). The use of a mesoscale numerical model for evaluations of pollutant transport and diffusion in coastal regions and over irregular terrain. Bull. Am. Meteorol. Soc., 64: 243-249.
48. Scarlew, R. C., Fabrik, A. J. & Prager, J. E. (1971). A particle in cell method for numerical solution of the atmospheric diffusion equation, and application to air pollution problems. Rep 3SR-844, Systems, Science and Software, La Jolla, CA.
49. Seinfield, J. H. (1986). Atmospheric chemistry and physics of air pollution. New York, McGraw-Hill.
50. Sherman, C. A. (1978). A mass consistent model for wind fields over complex terrain. J. Appl. Meteorol., 17: 312-319.
51. Singer, I. A. & Smith, M. E. (1953). Relation of gustiness to other meteorological parameters. J. Meteorol., 10: 121-126.
52. Smith, F. B. (1986). Atmospheric turbulent transport. CEC Report EUR 10832 EN:43-69.
53. Smith, M. E. (1951). The forecasting of micrometeorological variables. Meteorol. Monogr, 1: 50-55.
54. Strikwerda, J. C. (1989). Finite difference schemes and partial differential equations, Belmont, CA, USA, Wadsworth & Brooks/Cole.
55. Tesche, T. W. & McNally, D. (1991). A three-dimensional photochemical-aerosol model for episodic and long term simulation: formulation and initial application in the Los Angeles Basin. In Models and predictions for climate and air quality (Sloane, C.S. and Tesche, T.W., editors), Chelsea, Michigan, Lewis, 63-82.
56. Tirabassi, T., Tagliazucca, M. & Zannetti, P. (1986). KAPPA-G: a non-gaussian plume dispersion model: description and evaluation against tracer measurements. J. Air Pollut. Control Assoc., 36: 592-596.
57. Topçu, N., Bayramoglu, M., Keskinler, B. & Akcay, M. (1993). Air pollution modelling in Erzurum city. J. Environ Pollut., 79: 9-13.
58. Tran, K. (1981). Users guide for photochemical trajectory model TRACE. CA, Report 81/003:Applied Modelling Inc.
59. Tromans, S. (1995). Environment Act 1995 with annotations by Stephen Tromans. Sweet & Maxwell.
60. Turner, D.B. (1970). Workbook of atmospheric dispersion estimates. AP 26 (NTIS PB 191-482), Research Triangle Park, NCU.S.EPA.
61. Turner, D. B., Bender, L. W., Pierce, T. E. & Petersen, W. B. (1989). Air quality simulation models from EPA. J. Envron. Software, 4, Part 2: 52-61.
62. Venkatram, A. (1978). An examination of box models for air quality simulation. J. Atmos. Environ., 12: 2243-2249.
63. Versteeg, H. K. & Malalasekera, W. (1995). An introduction to computational fluid dynamic: the finite volume method. Harlow, Essex, Longman Scientific and Technical.
64. Zannetti, P. (1981). Some aspects of Monte Carlo type modelling of atmospheric turbulent diffusion. In Proceedings of 7th AMS Conference on Probability and Statistics in Atmospheric Sciences, 75-78.
65. Zannetti, P. (1984). New Monte Carlo scheme for simulating Lagrangian particle diffusion with wind shear effects. J. Appl. Math. Model, 8: 188-192.pa
66. Zannetti, P. (1990). Air pollution modelling: theories, computational methods and available software. New York, Van Nostrand Reinhold.
67. Zannetti, P. (1994). Computer modelling air pollution: science, art or fiction. In Proceedings of the 2nd International Conference on Air Pollution, PT1 3-11.
68. Zannetti, P., Bruegge, B., Hansen, D.A., Lyons, W.A., Moon, D. A, Morris, R. E., Riedel, E. & Russell, A. G. (1995). Design and development of a comprehensive modelling system (CMS) for air pollution. Report Prepared for Electric Power Research Institute, 3412 HillView Avenue, Palo Alto, CA 94304, FaAA Report SF-R-94-10-11.
69. Zhuang, Y., Amiro, B. D., Davis, P. A. & Ewing, L. L. (1993). AERAD: the atmospheric dispersion model for emergency response at the Whiteshell Laboratories, Manitoba, Canada. AECL Research Report AECL-10817, 1-24.