Autors: Mateev, V. M., Marinova, I. Y.
Title: Atmospheric CO2 Sources Reconstruction Method for Ground-Based Sensor Networks and Remote Imaging Data
Keywords: CO2 source reconstruction and sensing

Abstract: Long-term accurate CO2 emission source location sensing and monitoring are difficult especially in heavy climate conditions, related with pressure, temperature variations and wind speed changes. In this paper is proposed a numerical reconstruction method for CO2 emission source location from locally measured data, provided by satellite and ground-based sensors. Reconstruction algorithm is based on fast interpolation technique very suitable for real-time data processing. The method characterizes with excellent gas source location selectivity, reduced number of sensors and therefor high measuring process efficiency.



    47th International Conference on Applications of Mathematics in Engineering and Economics, AMEE 2021, vol. 2505, issue 80017, 2022, Bulgaria, AIP Conference Proceedings,

    Copyright AIP Conference Proceedings

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus