1. Modeling of Air Pollutants Dispersion from
Industrial Sources in Environmental
Impact Assessment
B. Krasovitov1, T. Elperin1, A. Fominykh1, I. Katra2
1Department of Mechanical Engineering, The Pearlstone Center for Aeronautical Engineering Studies, Ben-Gurion University of the Negev, P.O.B. 653, , Israel
2Department of Geography and Environmental Development, Ben-Gurion University of the Negev,
P.O.B. 653, , Israel 1

2. Industrial air pollution plumes
Scavenging of air pollutions by cloud and rain droplets
Scavenging of air pollutions by cloud and rain droplets
Ne'ot Hovav chemical factory (Nothern Negev, Israel)
Power plant (Ashquelon, Israel)

3. Industrial air pollution plumes
Heating plant (Hanover, NH US)
Scavenging of air pollutions by cloud and rain droplets

4. Industrial air pollution plumes
Substances emitted into the atmosphere
from industrial sources include:
Carbon dioxide (CO2)
Carbon monoxide (CO)
Sulfur oxides (SOx)
Nitrogen oxides (NOx)
Volatile organic compounds (VOC)
Carbon-based particulate matter (PM2.5-10)

5. Air quality model (AQM)

6. Air pollution monitoring
Beer-Sheva, Northern Negev AQI
AQI
Air Pollution Level
Health Implications

7. Air pollution monitoring
Table of breakpoints (according to US Environmental Protection Agency standards)

8. Gaussian plume model Gaussian Plume model
Scavenging of air pollutions by cloud and rain droplets
Gaussian Plume model

9. Gaussian plume model
Pasquill-Gifford stability categories

10. Gaussian plume model
Pasquill-Gifford horizontal dispersion parameters

11. Gaussian plume model
Pasquill-Gifford vertical dispersion parameters

12. Gaussian plume model

13. Gaussian plume model
Fig. 4. Concentration distributions in the XZ-plane, evaluated at Y=0.

14. Mean wind velocity profile

15. Measurements of mean wind velocity profile
Fig. 6. A cup anemometer
Katra et al., Aeolian Research 20 (2016) 147–156
Fig. 5. A 10-m wind mast

16. Measurements of mean wind velocity profile
For each height the average wind velocity was calculated as follows

17. Adsorption of trace atmospheric gases by plume
Scavenging of air pollutions by cloud and rain droplets
Fig. 7.
Concentration distributions in the XZ-plane, evaluated at Y=0
(Elperin et al., Process Saf. Environ. Prot., 111 (2017) 375–387).

18. Adsorption of trace atmospheric gases by plume
Scavenging of air pollutions by cloud and rain droplets
Fig. 8. Concentration profiles of HNO3 in the atmosphere calculated in the XZ-plane at Y = 0 (speed of wind at the height of release – 6.36 m/s; height of release – 20 m; rate of release – 10 g/s ).
Fig. 9. Ground level concentration of HNO3 vs. distance from the point of release.

19. Wet deposition of PM emission
Fig. 4.
Concentration distribution in the XZ-plane, evaluated at Y=0 (Elperin et al., Process Saf. Environ. Prot., 102 (2016) ).
Scavenging of air pollutions by cloud and rain droplets

20. Conclusions
Scavenging of air pollutions by cloud and rain droplets
The air quality modelling (AQM) is one of the principal approaches to air pollution exposure assessment.
Air quality study implies the estimation of some pollutants concentration in a region of interest, during a finite period of time.
The characteristics of each specific problem will define the physical and chemical processes involved, and consequently, the best model to use.
Mathematical models integrate our knowledge of the chemical and physical processes of pollutant dynamics into a structured framework that can be used to explain the relationship between sources of air pollution and the resulting impact on human health.

21. This work was partially supported by
Acknowledgements
Scavenging of air pollutions by cloud and rain droplets
This work was partially supported by
Israel Science Foundation governed by the Israeli Academy of Sciences (Grant No. 1210/15) and by Israel Ministry of National Infrastructures, Energy and Water Resources.