aAGH University of Science and Technology, Faculty of Mining Surveying and Environmental Engineering, Department of Environmental Management and Protection, Av. A. Mickiewicz 30, Krakow, Poland, contact: rzeszut@agh.edu.pl

1 Parameterization of the OSPM model (f_roof)

1.1 Scatter plot

Fig. 1-1. Scatter plot for PM10 and variant Qs

Fig. 1-1. Scatter plot for PM10 and variant Qs

Fig. 1-2. Scatter plot for PM2.5 and variant Qs

Fig. 1-2. Scatter plot for PM2.5 and variant Qs

1.2 Statistical parameters

Tab. 1-1. Statistical parameters
PM u_roof n FB FBFP FBFN NMSE FAC2 IA R
PM10 u_roof = 0.6 2078 0.07 0.10 0.17 0.15 0.93 0.78 0.68
PM10 u_roof = 1.0 2078 0.13 0.07 0.20 0.17 0.94 0.78 0.70
PM2.5 u_roof = 0.6 2136 0.14 0.08 0.21 0.16 0.93 0.80 0.72
PM2.5 u_roof = 1.0 2136 0.20 0.05 0.25 0.18 0.92 0.80 0.75

2 Comparison of observed and modeled values at time intervals

2.1 Scatter plot

Fig. 2-1. Scatter plot for PM10 and hour 1:00 to 6:00

Fig. 2-1. Scatter plot for PM10 and hour 1:00 to 6:00

Fig. 2-2. Scatter plot for PM10 and hour 7:00 to 24:00

Fig. 2-2. Scatter plot for PM10 and hour 7:00 to 24:00

Fig. 2-3. Scatter plot for PM2.5 and hour 1:00 to 6:00

Fig. 2-3. Scatter plot for PM2.5 and hour 1:00 to 6:00

Fig. 2-4. Scatter plot for PM2.5 and hour 7:00 to 24:00

Fig. 2-4. Scatter plot for PM2.5 and hour 7:00 to 24:00

2.2 Statistical parameters

2.3 Interactive charts and animations

Fig. 2-5. Fractional bias (FB) due to hour of day

Fig. 2-6. FB vs. NMSE by levels of the hour of day

Fig. 2-7. R(observentions vs. background) vs. R(observetions vs. modelled) by levels of the hour of day

3 Comparison of observed and modeled values due to meteorological conditions

3.1 Wind Speed

3.1.1 Statistical parameters

3.1.2 Interactive charts and animations

Fig. 3-1. FB vs. NMSE by levels of the wind speed

3.2 Wind direction

3.2.1 Statistical parameters

3.2.2 Interactive charts and animations

Fig. 3-2. FB vs. NMSE by levels of the wind direction

3.3 Relative humidity

3.3.1 Statistical parameters

3.3.2 Interactive charts and animations

Fig. 3-3. Fractional Bias (FB) due to of relative humidity

Fig. 3-4. FB vs. NMSE by levels of relative humidity

3.3.3 Scatter plot

Fig. 3-5. Observations vs. modelled by levels of relative humidity for PM10

Fig. 3-5. Observations vs. modelled by levels of relative humidity for PM10

Fig. 3-6. Observations vs. modelled by levels of relative humidity for PM2.5

Fig. 3-6. Observations vs. modelled by levels of relative humidity for PM2.5

3.4 Temperature

3.4.1 Statistical parameters

3.4.2 Interactive charts and animations

Fig. 3-7. Fractional bias (FB) due to of temperature

Fig. 3-8. FB vs. NMSE by levels of temperature

3.4.3 Scatter plot

Fig. 3-9. Observations vs. modelled by levels of temperature for PM10

Fig. 3-9. Observations vs. modelled by levels of temperature for PM10

Fig. 3-10. Observations vs. modelled by levels of temperature for PM2.5

Fig. 3-10. Observations vs. modelled by levels of temperature for PM2.5

4 Scatter plot 3D

4.1 Relative humidity

Click the symbol on the legend to enable or disable the layer.

Fig. 4-1. Scatter plot 3D: Observed v. modeled values in relation to the relative humidity level for Qs15+Qc and PM10

Fig. 4-2. Scatter plot 3D: Observed v. modeled values in relation to the relative humidity level for Qs15+Qc and PM2.5

4.2 Temperature

click the symbol on the legend to enable or disable the layer.

Fig. 4-3. Scatter plot 3D: Observed v. modeled values in relation to the temperature level for Qs15+Qc and PM10

Fig. 4-4. Scatter plot 3D: Observed v. modeled values in relation to the temperature level for Qs15+Qc and PM2.5

Prepared by: Mateusz Rzeszutek, AGH University of Science and Technology, Faculty of Mining Surveying and Environmental Engineering, Department of Environmental Management and Protection, Av. A. Mickiewicz 30, Krakow, Poland, contact: rzeszut@agh.edu.pl