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Abstract <p>This paper describes a technology tested at the MOSECOMONITORING budgetary institution of the Moscow City Government, which is authorized to conduct state environmental monitoring. The technology is designed to construct three-dimensional pollutant concentration fields using a Gaussian plume model based on MTP-5 temperature profiler data and surface wind measurements. Considering the diurnal variability of temperature stratification in the Moscow metropolitan area, the technology is applied to operational environmental monitoring and source-identification tasks. The feasibility of determining the individual contribution of each air-pollution source is demonstrated. The Gaussian atmospheric-diffusion model is widely accepted and recommended for practical use by international organizations, including the World Meteorological Organization, the World Health Organization, and the International Atomic Energy Agency. A technology for computing backward plumes was also tested to estimate the probable emission area responsible for pollutant concentrations at the monitoring site.</p>

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Effect of Accounting for Regional Features on the Concentration Field from High and Low Sources

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • E. A. Miller,
  • A. N. Lukyanov,
  • N. A. Baranov,
  • E. A. Lezina,
  • O. Yu. Zatsepina

摘要

Abstract

This paper describes a technology tested at the MOSECOMONITORING budgetary institution of the Moscow City Government, which is authorized to conduct state environmental monitoring. The technology is designed to construct three-dimensional pollutant concentration fields using a Gaussian plume model based on MTP-5 temperature profiler data and surface wind measurements. Considering the diurnal variability of temperature stratification in the Moscow metropolitan area, the technology is applied to operational environmental monitoring and source-identification tasks. The feasibility of determining the individual contribution of each air-pollution source is demonstrated. The Gaussian atmospheric-diffusion model is widely accepted and recommended for practical use by international organizations, including the World Meteorological Organization, the World Health Organization, and the International Atomic Energy Agency. A technology for computing backward plumes was also tested to estimate the probable emission area responsible for pollutant concentrations at the monitoring site.