Graz Lagrangian Model (GRAL) for Pollutants Tracking and Estimating Sources Partial Contributions to Atmospheric Pollution in Highly Urbanized Areas
| Autor: | Nikolai E. Zaytcev, Boris A. Gusev, Aleksey A. Romanov, Ilia K. Philippov, Alexander S. Vasiliev, Egor V. Leonenko, Anastasia N. Tamarovskaya |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Population Air pollution air pollutants tracking computational fluid dynamics 010501 environmental sciences Environmental Science (miscellaneous) Computational fluid dynamics lcsh:QC851-999 medicine.disease_cause Atmospheric sciences 01 natural sciences Wind speed Lagrangian model medicine education Air quality index 0105 earth and related environmental sciences Pollutant education.field_of_study business.industry air dispersion modeling Wind direction Atmospheric dispersion modeling model performance evaluation GRAL air quality Environmental science lcsh:Meteorology. Climatology business |
| Zdroj: | Atmosphere Volume 11 Issue 12 Atmosphere, Vol 11, Iss 1375, p 1375 (2020) |
| ISSN: | 2073-4433 |
| DOI: | 10.3390/atmos11121375 |
| Popis: | Computational modeling allows studying the air quality problems in depth and provides the best solution reducing the population risks. This research demonstrates the Graz Lagrangian model effectiveness for assessing emission sources contributions to the air pollution: particles tracking and accumulation estimate. The article describes model setting up parameters and datasets preparation for the analysis. The experiment simulated the dispersion from the main groups of emission sources for real weather conditions during 96 h of December 2018, when significant excess of NO2, CO, SO2, PM10, and benzo(a)pyrene concentrations were observed in the Krasnoyarsk surface atmospheric layer. The computational domain was a parallelepiped of 40 × 30 × 2.5 km, which was located deep inside the Eurasian continent on a heterogeneous landscape exaggerated by high-rise buildings, with various pollutions sources and the ice-free Yenisei River. The results demonstrated an excellent applicability of the Lagrange model for hourly tracking of particle trajectories, taking into account the urban landscape. For values < 1 MPC (maximum permissible concentration) of peak pollutants concentrations, the coincidences were 93 cases, and for values < 0.1 shares of MPC, there were 36 cases out of the total number of 97. The same was found for the average daily concentration for values < 1 MPC&mdash 31, and for values < 0.1 MPC&mdash 5 matches out of 44. Wind speeds COR&mdash 65.3%, wind directions COR&mdash 68.6%. The Graz Lagrangian model showed the ability to simulate air quality problems in the Krasnoyarsk greater area conditions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|