Ensuring the reliability of identifying the source of excess emissions into the atmosphere

L.O. Shtripling, V.V. Bazhenov, N.S. Bazhenova, E.Yu. Zhemchugova

Omsk State Technical University, RF, Omsk, Mira Av., 11

E-mail: Losht59@mail.ru

DOI: 10.33075/2220-5861-2023-1-99-107

UDC 504.064.3                                                                                            

Abstract:

   The article presents a method and a methodology implemented on its basis for identifying a source that allowed an excess emission, in conditions of limited accuracy of computational and instrumental methods for determining concentrations of pollutants in the atmospheric air. The method consists in determining the source whose emissions led to a violation of the quality of atmospheric air, according to the values of concentrations of pollutants obtained by a mobile laboratory at two points. According to the obtained concentration values, mass emissions are calculated at the sources that emit the fixed substance. Then hypotheses about the culpability of a particular source of pollution are put forward and tested. In relation to the calculated mass emissions and the multiplicity of exceeding the established standards, a conclusion is made about the culpability of the source in the recorded violation.

   The presented technique is implemented in the form of a software product and tested in a mobile laboratory. According to the data recorded by the laboratory, calculations were carried out and the source that allowed an excess emission was identified. The results of the inspection of enterprises carried out by the Ministry of Natural Resources of the Omsk region confirmed the assumption made about the guilt of a specific source. Thus, the developed method of localization of the source of excess emission has confirmed its adequacy and accuracy in determining such sources.It is concluded that the proposed method makes it possible to compensate for inaccuracies when using instrumental measurements and calculation methods to identify the source of excess emission.

Keywords: pollution, atmospheric air, excess emission, source of atmospheric pollution, localization of the source, concentration of a chemical substance.

To quote: 

Full text in PDF(RUS)

REFERENCES

  1. https://uonvos.rpn.gov.ru (January 16, 2023).
  2. Yang H., Tseng Y., Chuang H., Li T., Yuan C., and Lee J.J. Chemical Fingerprint and Source Identification of Atmospheric Fine Particles Sampled at Three Environments at the Tip of Southern Taiwan. Aerosol and Air Quality Research, 2017, Vol. 17, pp. 529–542.
  3. Zhangjie Fu, Yiming Chen, Yongjie Ding, and Daojing He. Pollution Source Localization Based on Multi-UAV Cooperative Communication. IEEE Access, 2019, Vol. 7, pp. 29304–29312.
  4. Noe M. Yungaicela-Naula, Youmin Zhang, Luis E. Garza-Castañon, and Luis I. Minchala. UAV-based Air Pollutant Source Localization Using Gradient and Probabilistic Methods. International Conference on Unmanned Aircraft Systems (ICUAS), 12–15 June, 2018 (Dallas, TX, USA), pp. 702–707.
  5. Zhang S. Pollution Transport Simulation and Machine-Learning Aided Source Detection in Metropolitan Areas. 2020 International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), 2020, pp. 359–364.
  6. https://www.epa.gov/sites/production/files/2015-02/documents/pmf_5.0_user_guide.pdf (May 11, 2022).
  7. Park M., Lee T.V., Lee E., and Kim D. Enhancing source identification of hourly PM2.5 data in Seoul based on a dataset segmentation scheme by positive matrix factorization (PMF). Atmospheric Pollution Research, 2019, Vol. 10, No 4, pp. 1042–1059.
  8. 8. Begum B.A. and Hopke P.K. Identification of Sources from Chemical Characterization of Fine Particulate Matter and Assessment of Ambient Air Quality in Dhaka, Bangladesh. Aerosol and Air Quality Research, 2019, Vol. 19, pp. 118–128.
  9. Shtripling L.O., Bazhenov V.V., Varakina N.S., and Kupriyanova N.P. Development of unauthorized airborne emission source identification procedure. Journal of Physics: Conference Series, 2018, р. 012105.
  10. Shtripling L.O., Bazhenov V.V., Kalinin Yu.V., Bazhenova N.S., and Merkulov V.V. Metod predvaritel’noj lokalizacii istochnika sverhnormativnogo zagrjaznenija atmosfernogo vozduha kak sposob povyshenija jeffektivnosti jekologicheskogo monitoringa i nadzora v Rossii (Method of preliminary localization of the source of excess atmospheric air pollution as a way to increase the effectiveness of environmental monitoring and supervision in Russia). Omskij nauchnyj vestnik, 2019, Vol. 3, No. 165, pp. 72–77.
  11. http://www.consultant.ru/document/cons_ doc_LAW_222765 (December 20, 2022).

 

Loading