PRELIMINARY RESULTS FOR THE RECURRENCE OF AIR QUALITY INDEX FOR THE CITY OF SOFIA FROM 2008 TO 2019
Proceeding of 1st International Conference on Environmental Protection and Disaster RISKs, 2020, DOI: https://doi.org/10.48365/ENVR-2020.1.5
The living environment of human beings and, obviously, the atmospheric composition has a great impact for the quality of life and human health. Air Quality (AQ) is a key element of European citizens’ wellbeing and quality of life. The objectives of the present work are to conduct reliable, comprehensive and detailed studies of the impact of lower atmosphere composition on the quality of life and health risks for the population in the city of Sofia. The performed numerical simulations with the US EPA Models-3 system are for 12 years from 2008- 2019 and calculated on five domains: Europe, Balkan Peninsula, Bulgaria, Sofia Municipality and Sofia City with increasing space resolution – from 81 km (Europe) to 1 km (Sofia City). The System is based on the well-known models WRF (Meso- Meteorological Model) and US EPA dispersion model CMAQ (Chemical Transport Model). As emission input the TNO data is used for the two biggest domains. For the 3 Bulgarian domains the current emission inventory prepared by Bulgarian environmental authorities is exploited.
Air Quality Indices, air quality, quality of life, health risks
Bulgarian National Science Fund (grant DN-04/2/13.12.2016). Special thanks are due to US EPA and US NCEP for providing free-of-charge data and software and to the Netherlands Organization for Applied Scientific research (TNO) for providing the high-resolution European anthropogenic emission inventory.
Author: Georgi Gadzhev
Affiliation: National Institute of Geophysics, Geodesy and Geography – BAS, str. Acad. G. Bonchev, bl. 3, Sofia 1113, Bulgaria
How to cite:
Gadzhev, G. (2020). Preliminary Results for the Recurrence of Air Quality Index for the City of Sofia from 2008 to 2019. Proceeding of 1st International Conference on Environmental Protection and Disaster RISKs, 2020, p. 53-64. https://doi.org/10.48365/ENVR-2020.1.5