Particulate matter characterization in a steelworks using conventional sampling and innovative lidar observations--颗粒学报PARTICUOLOGY

Guinot, B., Gonzalez, B., Perim De Faria, J., & Kedia, S. (2016). Particulate matter characterization in a steelworks using conventional sampling and innovative lidar observations. Particuology, 28, 43-51. https://doi.org/10.1016/j.partic.2015.10.002

Particulate matter characterization in a steelworks using conventional sampling and innovative lidar observations

Benjamin Guinot ^*, Beatriz Gonzalez, Julia Perim De Faria, Sumita Kedia

Laboratoire d’Aérologie, Université de Toulouse, CNRS, Université Paul-Sabatier, 14 Avenue Edouard-Belin, 31400 Toulouse, France

10.1016/j.partic.2015.10.002

Volume 28, October 2016, Pages 43-51

Received 1 August 2014, Revised 30 September 2015, Accepted 15 October 2015, Available online 12 January 2016, Version of Record 4 August 2016.

E-mail: benjamin.guinot@aero.obs-mip.fr; benjamin.guinot@gmail.com

Highlights

• The main input of particles within the steelworks originated from open sources.

• Stacks had a limited effect on the coarse particle concentrations.

• Fine particles were emitted mainly from stacks, fugitive emissions and open sources on site.

• Regional background provided high amount of fine aerosols to the steelworks.

• Lidars allowed to map aerosols in real time.

Abstract

Particulate matter (PM) emissions from steelworks cause public concern. Although end-of-pipe and process integrated measures have led to a significant drop in emissions of large particles from stacks, fine aerosols were not specifically considered, nor were emissions from fugitive and open sources. In this study, we deployed aerosol samplers together with a scanning ultra-violet (UV) lidar to characterize total suspended particles (TSP), PM₁₀, and PM_2.5, in emissions from a large integrated steelworks in Spain over a 16-day period. We determined the content of carbonaceous, soluble inorganic, mineral dust, and metal species. A positive matrix factorization was carried out on our dataset. Despite mineral dust being predominant in all size fractions, the steelworks was clearly a source of carbonaceous species, resulting in production of secondary inorganic aerosols. In particular, stack emissions were a major contributor of fine particles, while open sources dominated the emissions of TSP, yielding up to 80% of particles larger than PM₁₀. UV lidar provided 2D maps of aerosols in real time, with an ability to detect PM emissions and to visualize complex plumes. We suggest that air quality management of steelworks needs to focus on controlling large and coarse particle emissions, especially those from open sources.

Graphical abstract

Keywords

Fine aerosols; Fugitive emissions; Open sources; Chemical composition; Trace metals; UV lidar

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