The aim of the present paper is to develop an alternative approach to conventional dynamic and photochemical models for operational short-term forecasting of urban air pollutants. It is well known that there are some practical difficulties, which prevent necessary progress in the development of these models as a forecasting tool. A fuzzy logic based method has been developed here to study the impact of meteorological factors on the evolution of air pollutant levels and to describe them quantitatively. This method meets all requirements but requires quite a substantial amount of observational data. The developed model bases on simulation of diurnal cycles of principal meteorological variables (wind speed and direction, solar irradiance, and air temperature) and the corresponding diurnal patterns of various air pollutants (O3, NO2, NO, NOy). In addition, the spatial patterns of these parameters are also studied. Both temporal and spatial parameter distributions have been considered in order to investigate the impacts of meteorological factors, and they are incorporated in the models as state vectors in the multidimensional space. Here we suggest that most of the weather and air pollution phenomena could be simulated by sequences of its conservation inside some fuzzy sets and the transition from one fuzzy set to another. Therefore, an important key point here is the development of the transition rules.
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References
Chang J.S. et al. (1987), A three-dimensional Eulerian acid deposition model: physical concepts and formulation, J. Geoph. Res. v. 92, pp. 14618–14700.
Chiu S.L. (1994), Fuzzy model identification based on cluster estimation. J. Intell. Fuzzy Syst., v. 2, pp. 267–278.
Environmental Protection Department Hong Kong (1998), Working paper D2 — Territory-wide air quality modelling system: inventry datasets, pp. 4, April.
Gardner M. and Dorling S. (1998), Atmos. Environ., v. 32, pp. 2627–2636.
Haagen-Smit A.G. (1952), Chemistry and physiology of Los-Angeles smog. Ind. Eng. Chem., v. 44, pp. 1342–1346.
Hass H. (1991), Description of the EURAD Chemistry-Transport-Model Version 2(CTM2), Mitteilungen aus dem Institute fur Geophysik und Meteorologie der Univ.zu Koln, A. Ebel, F. Neubauer, P. Speth, (eds.) N 83, 100 pp.
Hong Kong Observatory (1997), Monthly Weather Summary, January, February, March, December.
Jain K., Dubes N. (1988), Fuzzy Sets, Neural Networks and Soft Computing, Amsterdam, Van Nostrand, 567 pp.
Pokrovsky O.M. (1998a), On the Modelling of the Surface Meteorological Variable Diurnal Cycles by Combined “Fuzzy Sets and Neural Networks” Approach. In “Computer Science for Environmental Protection 98”, Metropolis-Verlag, Marburg, v. 1, pp. 331 – 345.
Pokrovsky O.M. (1998b), On the Simulation of the Surface Meteorological Variable Diurnal Patterns by Combined “Fuzzy Sets and Neural Networks” Approach. In “Proceedings of International Conference on Air Pollution Modelling and Simulaton”, Editeur INRIA, Rocquencourt, Part 2, pp. 575 – 592.
Pokrovsky O.M. (1999), On the Modelling of the Surface Energy Exchange Processes By Combined “Fuzzy Sets and Neural Networks” Approach. In Proceedings of the International Conference on “Spatial Statistics for Production Ecology”, Wageningen University Press, Wageningen, v. 2 “Spatial Statistics and Agricultural Modelling”, pp. 141 – 162.
Scientific Assessment of Ozone Depletion, 1994, 1995, WMO, Global Ozone Research and Monitoring Project-Report No. 37, NOAA — NASA — UNEP — WMO, 563 pp.
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Pokrovsky, O.M., Kwok, R.H.F. (2008). Description Of The Meteorological Impacts On The Urban Air Pollution Species By The Fuzzy Logic Approach: A Hong Kong Case Study. In: Barnes, I., Kharytonov, M.M. (eds) Simulation and Assessment of Chemical Processes in a Multiphase Environment. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8846-9_23
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