Skip to main content
SpringerLink
Log in

Compensation for the Systematic Error of Spectral Measurements of the Background Concentration of Methane in the Earth's Atmosphere

  • Published:
Measurement Techniques Aims and scope

We investigate the error in developing a technique for measuring the background concentration of methane by the passive location method using solar radiation as a source. Background concentration of methane is measured along three separate trajectories in a region northeast of Moscow. The first route passes through an urbanized area with developed infrastructure, industry and high population density; the second and third routes pass through areas with a lower population density and buildings, and have many forests and reservoirs. When processing measurement results, it was found that, along with random errors, it is necessary to take into account the systematic error due to the influence of external factors on measuring the methane background concentration during sounding under small angles to the horizon, when the path length noticeably increases. It is shown that such influencing factors can include the scattering of light by aerosols and other impurity particles in the atmosphere. Compensation adjustments have been made which reduced the systematic error to almost zero. A monitoring technique has been proposed that makes it possible to obtain a relative error in units of percent when measuring the background concentration of methane over a long duration. The results of the performed measurements are consistent with the results of global measurements and confirm the growth in the background concentration of methane in the Earth's atmosphere in recent years.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.

Similar content being viewed by others

Notes

  1. MERLIN (Methane Remote Sensing Lidar Mission) [Website]. URL: https://directory.eoportal.org/web/eoportal/satellite-missions/m/merlin (accessed 03/20/2023).

  2. Giovanni The Bridge Between Data and Science [Website]. URL: https://giovanni.gsfc.nasa.gov (accessed 03/20/2023).

  3. WDCGG (World Data Center Greenhouse Gases) [Website]. URL: https://gaw.kishou.go.jp/ (accessed 03/20/2023).

  4. Azimuth and height of the sun above the horizon [Website]. URL: https://planetcalc.ru/320/ (date of access: 03/23/2023).

  5. The HITRAN Database [Website]. URL: https://hitran.org/ (date of access: 03/23/2023).

References

  1. R. Siddans, D. Knappett, A. Waterfall, et al., Atmos. Meas. Tech., 290, No. 11, 1–46 (2016), https://doi.org/10.5194/amt-10-4135-2017.

    Article  Google Scholar 

  2. D. Weidmann, A. Hoffmann, N. Macleod, et al., Remote Sens., 9, No. 1073, 1–20 (2017), https://doi.org/10.3390/rs9101073.

    Article  Google Scholar 

  3. V. I. Grigorievsky and Y.A. Tezadov, Cosmic Res., 58, No. 5, 330–337 (2020), https://doi.org/10.1134/S0010952520050020.

    Article  ADS  Google Scholar 

  4. V. N. Aref 'ev, R. M. Akimenko, F. V. Kashin, and L. B. Upenek, Izv., Atmosph. Ocean. Phys., 52, No. 1, 37–44 (2016), https://doi.org/10.1134/S0001433815060031.

  5. X. Xiong, C. Barnet, E. Maddy, C. Sweeney, X. Liu, L. Zhou, and M. Goldberg, J. Geophys. Res.: Biogeosciences, 113, No. G3, 148–227 (2008), https://doi.org/10.1029/2007JG000500.

  6. V. I. Grigorievsky, V. P. Sadovnikov, and A. V. Elbakidze, Meas. Tech., No. 3, 192–196 (2022), https://doi.org/10.1007/s11018-022-02068-7.

  7. N. V. Rodionova, Modern Methods of Distant Probing, Radiolocation, Propagation and Diffraction of Waves, Proc. Int Conf., Murom, Russia, June 28–30, 2022, pp. 349–356, https://doi.org/10.24412/2304-0297-2022-1-349-356.

  8. N. M. Bazhin, Methane in the Environment, Novosibirsk, RAN, 2010, 56 p.

    Google Scholar 

  9. N. Chandra, S. Venkataramani, S. Lal, et al., Atmosph. Environ., 202, 41–52 (2019), 10.1016/j. atmosenv.2019.01.007.

    Article  ADS  Google Scholar 

  10. A. Svirejeva-Hopkins, H. J. Schellnhuber, and V. L. Pomaz, Ecological Model., 173, No. 2/3, 295–312 (2004), https://doi.org/10.1016/j.ecolmodel.2003.09.022.

    Article  Google Scholar 

  11. S. Yakovlev, S. Sadovnikov, O. Kharchenko, and N. Kravtsova, Atmosphere, 11, No. 1, 70 (2020), https://doi.org/10.3390/atmos11010070.

    Article  ADS  Google Scholar 

  12. V. I. Grigor'evskiĭ and Y. A. Tezadov, J. Opt. Technol., 86, No. 2, 92–95 (2019), https://doi.org/10.1364/JOT.86.000092.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences (Fryazino Branch), Fryazino, Moscow region, Russia

    V. I. Grigorievsky & Ya. A. Tezadov

Authors
  1. V. I. Grigorievsky
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ya. A. Tezadov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to V. I. Grigorievsky.

Ethics declarations

Conflict of interest.

The authors declare no conflict of interest.

Additional information

Translated from Izmeritel'naya Tekhnika, No. 4, pp. 44–49, April, 2023. DOI: https://doi.org/10.32446/0368-1025it.2023-4-44-49.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Grigorievsky, V.I., Tezadov, Y.A. Compensation for the Systematic Error of Spectral Measurements of the Background Concentration of Methane in the Earth's Atmosphere. Meas Tech 66, 259–264 (2023). https://doi.org/10.1007/s11018-023-02219-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11018-023-02219-4

Keywords

Search

Navigation