Abstract
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.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
