Parameterization of Dust Emissions from Heaps and Excavations Based on Measurement Results and Mathematical Modelling

Author:

Szymankiewicz Karol1ORCID,Posyniak Michał23ORCID,Markuszewski Piotr456ORCID,Durka Paweł1ORCID

Affiliation:

1. The Institute of Environmental Protection—National Research Institute, 02-170 Warsaw, Poland

2. Institute of Geophysics, Polish Academy of Sciences, 01-452 Warsaw, Poland

3. Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, 82467 Garmisch-Partenkirchen, Germany

4. Institute of Oceanology, Polish Academy of Sciences, 81-712 Sopot, Poland

5. Department of Environmental Science, Stockholm University, 10691 Stockholm, Sweden

6. Bolin Centre for Climate Research, Stockholm University, 10691 Stockholm, Sweden

Abstract

Assessment of the concentrations of dust pollution resulting from both measurements at reference stations and those determined using mathematical modelling requires accurate identification of the sources of emission. Although the concentration of dust results from several complex transport processes, as well as chemical and microphysical transformations of aerosols, sources of emissions may have a significant impact on the local level of pollution. This pilot study aimed to use measurements of the concentrations of dust (with the specification of the PM10 and PM2.5 fractions) made over a heap/excavation and its surroundings using an airship equipped with equipment for testing the optical and microphysical properties of atmospheric aerosols, and a ground station located at the facility. On the basis of the measurements, the function of the source of emissions of dust was estimated. According to our study, the yearly emission of dust varies between 42,470 and 886,289 kg for PM10, and between 42,470 and 803,893 for PM2.5 (minimum and maximum values). A model of local air quality was also used, which allowed us to verify the parameterization of emissions of dust pollutants for the PM10 and PM2.5 fractions from heaps and excavations based on the modelling results.

Funder

Institute of Environmental Protection—National Research Institute

National Science Centre

Publisher

MDPI AG

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