AICME II abstracts
Control and optimization in ecological problems
Control and optimization in ecological problems
AICME II abstracts
References Pollution Stimation and Control in an Urban Area Yuri N. Skiba1 .
Industrial and vehicular emissions in an urban area are considered. A method for estimating the mean pollution concentrations in a few ecologically most important zones of the area is suggested. The method is based on using solutions to the pollution transport model and its adjoint. Unique solvability and continuous dependence of the solution on the forcing and initial conditions are proved for each model. Compatible, balanced and absolutely stable difference schemes based on the splitting method are developed. Dual (equivalent) direct and adjoint pollution concentration estimates are derived for each zone. The dependence of these estimates on the number, positions and emission rates of industrial plants, as well as on the wind and initial pollution distribution is examined. Vehicular emissions are considered as linear pollution sources located along the main roadways, and their impact is estimated in a similar way. The method is applied to the Guadalajara City. The adjoint problem solutions are shown to be the influence functions providing valuable information on the role of each plant (or each part of a roadway) in polluting the zone. Some control strategies of the emission rates (both sufficient and optimal) are given, which allow one to keep the mean pollution concentrations in the zones below the sanitary norm. The method of optimal collocation of a new industrial plant is suggested. A method of detecting the industry (or industries) which violate the prescribed emission rates is also given.
[1] Skiba Yu.N. and D.P. Guevara (2000). Industrial Pollution Transport. Part I: Formulation of the Problem and Air Pollution Estimates. Environment Modeling and Assessment, 5 (3), 169-175. [2] Guevara D.P. and Yu.N. Skiba (2000). Industrial Pollution Transport. Part II: Control of Industrial Emissions. Environment Modeling and Assessment, 5 (3), 177-184. [3] Davydova-Belitskaya, V., Yu.N. Skiba, A. Mart´ınez and S.N. Bulgakov (2001). Modelaci´ on Matem´ atica de los Niveles de Contaminaci´ on en la Ciudad de Guadalajara, Jalisco, Mexico. Parte II. Modelo Num´erico de Transporte de Contaminantes y su adjunto. Revista Internacional de Contaminaci´ on Ambiental, 17 (2), 97-107. [4] Skiba, Yu.N. and V. B. Davydova (2002). Air Pollution Estimates in Guadalajara City. Environmental Modelling and Assessment, 7, 153-162. [5] Skiba, Yu.N. (2003). On a Method of Detecting the Industrial Plants Which Violate Prescribed Emission Rates. Ecological Modelling, 159 (2-3), 125-132. [6] Skiba, Yu.N. and V. B. Davydova (2003). On the Estimation of impact of Vehicular Emissions. Ecological Modelling (in press). [7] Guevara, D.P. and Yu.N. Skiba (2003). Elements of the Matematical Modelling in the Control of Pollutants Emissions. Ecological Modelling (in press).
1
Mathematical Modelling of Atmospheric Processes, Centro de Ciencias de la Atm´ osfera, UNAM, Circuito Exterior, Ciudad Universitaria, C.P. 04510, M´exico, D.F., M´exico (e-mail: ).
03-Ski-a
03-Ski-b
