In the current paper, inverse problems are considered in which sources of urban air pollution are determined in accordance with observational data. A problem statement is provided, and a problem algorithm and the applied difference schemes of the numerical solution of equations are discussed. Moreover, a modification of G.I. Marchuk’s method for the solution of inverse problems is presented that enables the determination of urban districts with the highest intensity of harmful substance emission using multiprocessor computer systems. Examples of applying the considered approach for conditions of the city of Tomsk are given.
This is a preview of subscription content, access via your institution.
Buy single article
Instant access to the full article PDF.
Tax calculation will be finalised during checkout.
G. I. Marchuk, Mathematical Modeling in Environmental Problem (Nauka, Moscow, 1982) [in Russian].
A. E. Aloyan, V. V. Penenko, V. V. Kozoderov, Contemporary Problems of Computational Mathematics and Mathematical Modeling, Vol. 2: Mathematical Modeling (Nauka, Moscow, 2005) [in Russian].
N. Moussiopoulos, P. Sahm, C. Kessler, “Numerical Simulation of Photochemical Smog Formation in Athens, Greece-A Case Study,” Atmos. Environ. 29(24), 3619–3632 (1995).
S. Perego, “Metphomod-a Numerical Mesoscale Model for Simulation of Regional Photosmog in Complex Terrain: Model Description and Application during Pollumet 1993 (Switzerland),” Meteorol. Atmos. Phys. 70, 43–69 (1999).
P. J. Hurley, “The Air Pollution Model (TAMP) Version 2,” CSIRO Atmos. Res. Tech. Pap., No. 55, 37 (2002).
V. P. Il’in, Finite Difference and Finite Volume Methods for Elliptical Equations (IM SB RAS, Novosibirsk, 2000) [in Russian].
A. A. Bott, “Positive Definite Advection Scheme Obtained by Nonlinear Renormalization of the Advective Fluxes,” Monthly Weather Review 117, 1006–1115 (1988).
E. A. Panasenko, “Computational Investigation of Impurity Transport in the Atmosphere” in Proceedings of the 3rd All-Russian Conference of Young Scientists on Fundamental Problems of New Technologies in the 3rd Millenium (IOA SB RAS, Tomsk, 2006), pp. 582–586.
A. V. Starchenko, D. A. Belikov, “Numerical Model for On-Line Inspection of Urban Air Pollution Level,” Optika Atmosf. i Okeana 16(7), 657–665 (2003).
D. Khimmel’blau, Applied Nonlinear Programming (Mir, Moscow, 1975) [in Russian].
F. P. Vasil’ev, Lectures on Extremal Problems Solution Methods (Mosk. Gos. Univ., Moscow, 1974) [in Russian].
A. V. Starchenko, “Computational Investigation of Local Atmospheric Processes,” Vychislitel’nye Tekhnol. 10(2), 81–89 (2005).
Original Russian Text © E.A. Panasenko, A.V. Starchenko, 2009, published in Optika Atmosfery i Okeana.
About this article
Cite this article
Panasenko, E.A., Starchenko, A.V. Determination of urban district atmospheric air pollution in accordance with observational data. Atmos Ocean Opt 22, 186–191 (2009). https://doi.org/10.1134/S1024856009020080
- Inverse Problem
- Impurity Concentration
- Urban District
- Adjoint Problem
- Inverse Problem Solution