Work

The Fogees system for forecasting particulate matter concentrations in urban areas

Year: 2024

Type: article

Abstract: Air quality forecasting requires appropriate models and data sources. The Fogees system presented in this paper enables mapping, evaluation and forecasting of the level of PMx pollution in the air, for urban and suburban areas. Input data were downloaded from the Meteoblue service, the GIS database and – in the case of integration with existing measurement systems – also from local air quality monitoring stations. The system uses a diagnostic model to determine the velocity field and a Lagrange model to describe pollution dispersion. The system has an auto-calibration model and uses proprietary algorithms to estimate emissions from domestic heating, transport and background pollution levels. Modular design and parallel computation facilitate simultaneous calculation of forecasts for existing emission conditions and calculations for alternative emission scenarios. The system permits forecasting for the next hour and for several consecutive hours. The validation results confirm that the system reliable forecasting of PM. concentrations.

Source: Environmental Modelling & Software

DOI: 10.1016/j.envsoft.2024.106205

Authors: Krzysztof Brzozowski, Łukasz Drąg, Lucyna Brzozowska

Institution: University of Bielsko-Biała

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Climate action

Open Access status: hybrid

Estimated APC paid: $3,400