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Air quality short-term control in an industrial region under adverse weather conditions

Control Theory and Technology 2020年第3期18卷 257-268页

作者： yuri skiba David PARRA-CUEVARA Center for Atmospheric Sciences National Autonomous University of MexicoCircuito ExteriorCiudad UniversitariaCDMX04510Mexico

A new short-term optimal control of air quality in an industrial region during atmospheric inversions is *** goal is to prevent violation of health standard of air quality in a few monitored *** control establishes restrictions on the emission rates of industrial sources and includes the identification of the industrial sources violating(exceeding)the emission rates set by the *** control and identification are based on using solutions to an adjoint dispersion *** that show the convergence of the emission rates,prescribed by the control,to the original emission rates of the industrial sources are given(Theorems 4 and 5).These results ensure that the new emission rates of industrial sources(established by the control)will be as close as possible to the original emission rates throughout the entire period of application of the *** creates the minimum possible restrictions on the functioning of industrial *** highlight of the new control is the possibility of selecting special weights for each pollution source in the goal function that is *** weights are mainly aimed at reducing the intensity of emissions of the main sources of *** example demonstrates the ability of the new method.A similar approach can also be used to develop methods for cleaning water zones polluted by oil(the problem of bioremediation),and to prevent excessive pollution of urban areas with automobile emissions.

关键词： Dispersion model adjoint model adjoint estimates optimal control source detection

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