PREDICTING THE DYNAMICS OF THE AIR ENVIRONMENT IN URBAN AREAS

Within the framework of the concept of sustainable urban development, the problem of forecasting the parameters of the air environment is being solved and the impact of the processes occurring in urban areas on the atmosphere is assessed. It is shown that among the main methods for solving this problem is the creation and development of information systems for monitoring, forecasting and warning about the state of the air environment. It has been established that complex information systems are developing most actively, allowing one to consider physical and chemical processes on a fairly large spatial scale, as well as to predict the state of the air environment of the city as a whole. The possibilities of using these systems to study processes in relatively small amounts of air are limited. The authors proposed a schematic diagram of a local information system for predicting the dynamics of the air environment. An algorithm for the implementation of the proposed approach. The results of the development of the measuring component of the local information system are considered in detail. The results of measuring the dynamics of the concentration of carbon monoxide, nitric oxide 4, and sulfur dioxide in the ambient air of residential buildings adjacent to the territory of the Oryol CHP during the day are presented. It is shown that the dynamics of the concentration of pollutants in the air during the day, obtained experimentally, corresponds to modern theoretical ideas about the nature of the distribution of the pollutants in the air. On the basis of the obtained results, it was concluded that the developed measuring component of the local information system for forecasting the dynamics of the air environment was adequate.

information system for monitoring, forecasting and warning about the state of the air environment, numerical model, measurement, physical field in the air

1. Baklanov, A., Hänninen, O., etc. Integrated systems for forecasting urban meteorology, air pollution and population exposure. // Atmospheric Chemistry and Physics. 2007. No 7. Pp. 855-874.

2. Baklanov A., Grimmond C.S., etc. From urban meteorology, climate andenvironment research to integrated city services // Urban Climate. 2018. No 23. Pp. 330-341.

3. Butler, T.M., Lawrence, M.G., The influence of megacities on global atmospheric chemistry: a modelling study // Environment Chemistry. 2009. No 6. Pp. 219-225.

4. Coupled Chemistry-Meteorology/Climate Modelling (CCMM): Status and Relevance for Numerical Weather Prediction, Atmospheric Pollution and Climate Research. World Meteorological Organization, Switzerland, Geneva. 2016.

5. Dabberdt W.F., Baklanov, A., etc. WMO GURMEWorkshop on Urban Meteorological Observation Design, Shanghai, China. WMO, Geneva, 2011. 208 p.

6. Freney, E.J., etc. Characterizing the impact of urban emissions on regional aerosol particles: airborne measurements during the MEGAPOLI experiment // Atmospheric Chemistry and Physics. 2014. No 14. Pp. 1397-1412.

7. Grimmond, C.S.B., etc. Urban-scale environmental prediction systems. Chapter 18. In: Seamless Prediction of the Earth System: From Minutes to Months. World Meteorological Organization, Switzerland, Geneva, 2015. Pp. 347-370.

8. Grimmond, C.S., etc. Guidelines for EstablishingWeather, Climate, Water and Related Environmental Services for Megacities and Large Urban Complexes: Integrated Urban Weather, and Climate Service. World Meteorological Organization, Geneva, Switzerland. 2015. 356 p.

9. Tan, J., etc. Urban integrated meteorological observations: practice and experience in Shanghai, China // Bulletin of the American Meteorological Society. 2015. No 96. Pp. 85-102.

10. van der Gon, D., e.c.t. Discrepancies between top-down and bottom-up emission inventories ofmegacities: the causes and relevance for modeling concentrations and exposure. // Air Pollution Modeling and its Application XXI, NATO Science for Peace and Security Series C: Environmental Security. 2011. Vol. 4. Pp. 194-204.

11. WMC-17, Seventeenth World Meteorological Congress. Geneva. Abridged Final Report With Resolutions. 2015. Pp. 560-561.

12. Brunet, G., Jones, S., Ruti, P.M. Seamless Prediction of the Earth System: from Minutes to Months // World Meteorological Organization, Geneva, Switzerland. 2015. No 418. Pp. 1156.

13. Zhang, Y. Online-coupled meteorology and chemistry models: history, current status, and outlook // Atmospheric Chemistry and Physics. 2008. No 8. Pp. 2895-2932.

14. Приказ Министерства Природных ресурсов и экологии РФ №273 от 06.06.2017

15. Форум разработчиков «Mysensors» [Электронный ресурс] / Режим доступа: https://forum.mysensors.org/topic/147/air-quality-sensor.