Quantifying the health impact of PM2.5 with various chemical transport models and for different years - A case study for Poland.

Poland is in the group of European countries with the most severe air quality and specific emission structure (over 80 % of PM2.5 emitted in residential combustion). In this work, we quantify the health impacts of PM2.

Application of ADMS-Urban for an area with a high contribution of residential heating emissions - model verification and sensitivity study for PM.

Air pollution poses a significant risk to both human health and the environment in the contemporary world. Among the various pollutants, particulate matter with a diameter <2.5 μm (PM) is regarded as the most hazardous.

Do we need high temporal resolution modelling of exposure in urban areas? A test case.

Roadside concentrations of harmful pollutants such as NO are highly variable in both space and time. This is rarely considered when assessing pedestrian and cyclist exposures. We aim to fully describe the spatio-temporal variability of exposures of pedestrians and cyclists travelling along a road at high resolution.

Modelling benzo(a)pyrene concentrations for different meteorological conditions - Analysis of lung cancer cases and associated economic costs.

Air pollution originating from the household presents a significant burden to public health, especially during the wintertime in countries, such as Poland, where coal substantially contributes to the energy market. One of the most hazardous components of particulate matter is benzo(a)pyrene (BaP). This study focusses on the impact of different meteorological conditions on BaP concentrations in Poland and associated impacts on human health and economic burdens.