Numerical Modeling of Distribution of Air Pollutants in Near Zone Taking into Account Local Meteorological Conditions
- DOI
- 10.2991/ciggg-18.2019.49How to use a DOI?
- Keywords
- numerical modeling; pollutant transport; local conditions; distribution of pollutants; meteorological parameters fields
- Abstract
The paper presents a three-dimensional numerical model developed by the authors, which describes the change over time of thermodynamic and microphysical characteristics of the atmosphere in the computational domain, the distribution of impurities on a local scale (up to 50 km) from various sources, taking into account the actual or forecast fields of meteorological parameters. The model differs in that it takes into account the microphysical processes of interaction of impurities with the cloud environment. To obtain three-dimensional prognostic fields of meteorological parameters at the initial time (when initializing the model), a combination of data from the global forecasting system GFS and data from remote observations using Doppler meteorological radars is used. Validation of the model on various test data is carried out. Numerical experiments were performed using orography and the actual distribution of wind in the atmosphere. The use of data of instrumental measurements and forecast system allows obtaining a detailed analysis of the environmental situation in the study area.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Bekkiev Vitaly A. AU - Vitaly A. Shapovalov AU - Kerim M. Bekkiev AU - Natalia V. Yurchenko AU - Rizuan O. Kalov AU - Sergey I. Shagin AU - Aida A. Adjieva PY - 2019/03 DA - 2019/03 TI - Numerical Modeling of Distribution of Air Pollutants in Near Zone Taking into Account Local Meteorological Conditions BT - Proceedings of the VIII Science and Technology Conference “Contemporary Issues of Geology, Geophysics and Geo-ecology of the North Caucasus” (CIGGG 2018) PB - Atlantis Press SP - 259 EP - 264 SN - 2352-5401 UR - https://doi.org/10.2991/ciggg-18.2019.49 DO - 10.2991/ciggg-18.2019.49 ID - VitalyA.2019/03 ER -