Open AccessNUMERICAL ANALYSIS OF THE OBSERVABILITY OF THE CITY ROAD NETWORK EMISSION SOURCES USING THE SENSITIVITY OPERATOR OF THE ATMOSPHERIC CHEMISTRY TRANSPORT AND TRANSFORMATION MODEL
Author(s) -
Alexey Penenko,
A. V. Gochakov
Publication year - 2021
Publication title -
interèkspo geo-sibirʹ
Language(s) - English
Resource type - Journals
ISSN - 2618-981X
DOI - 10.33764/2618-981x-2021-4-1-177-184
Subject(s) - observability , sensitivity (control systems) , operator (biology) , transformation (genetics) , inverse problem , computer science , meteorology , environmental science , algorithm , mathematical optimization , data mining , mathematics , engineering , geography , mathematical analysis , chemistry , electronic engineering , biochemistry , repressor , transcription factor , gene
Within the scenario approach, the observability of traffic emission sources is estimated from indirect monitoring data. What is new is that an approach based on sensitivity operators is used to estimate observability, which allows us to obtain a family of quasilinear operator equations for the source identification problem. This allows both solving and analyzing its properties. For the city of Novosibirsk, realistic weather scenarios, a scenario for the distribution of traffic emission sources and the location of monitoring sites are considered. In numerical experiments, the road network is identified smoothed over space. Concentration fields are restored with greater accuracy. Evaluation of the information about the sources contained in the data based on the analysis of the sensitivity operator allows one to get an express estimate of the inverse problem solution.