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.

References

    Issue

    47th International Conference on Applications of Mathematics in Engineering and Economics, AMEE 2021, vol. 2505, issue 8001, 2022, Bulgaria, AIP Conference Proceedings, https://doi.org/10.1063/5.0100798

    Copyright AIP Conference Proceedings

    Цитирания (Citation/s):
    1. Sirikongtham P., Nimkoompai A., Enhancing the Scanability of Damaged QR Codes Through Image Restoration Using GANs Combined with the Spectral Normalization Technique, 2025, International Journal of Advanced Computer Science and Applications, issue 10, vol. 16, pp. 638-644, DOI 10.14569/IJACSA.2025.0161066, issn 2158107X, eissn 21565570 - 2025 - в издания, индексирани в Scopus

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