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A New Optical-Based Technique for Real-Time Measurements of Mineral Dust Concentration in PM10 Using a Virtual Impactor

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A New Optical-Based Technique for Real-Time Measurements of Mineral Dust Concentration in PM10 Using a Virtual Impactor Atmos. Meas. Tech., 13, 3799–3813, 2020 https://doi.org/10.5194/amt-13-3799-2020 © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. A new optical-based technique for real-time measurements of mineral dust concentration in PM10 using a virtual impactor Luka Drinovec1, Jean Sciare2, Iasonas Stavroulas2, Spiros Bezantakos2, Michael Pikridas2, Florin Unga2, Chrysanthos Savvides3, Bojana Višic´1,4, Maja Remškar1, and Griša Mocnikˇ 1,5 1Department of Condensed Matter Physics, Jožef Stefan Institute, Ljubljana, Slovenia 2Climate and Atmosphere Research Center, The Cyprus Institute, Nicosia, Cyprus 3Ministry of Labour, Welfare and Social Insurance, Department of Labour Inspection, Nicosia, Cyprus 4Institute of Physics Belgrade, University of Belgrade, Belgrade, Serbia 5Center for Atmospheric Research, University of Nova Gorica, Ajdovšcina,ˇ Slovenia Correspondence: Luka Drinovec ([email protected]) Received: 31 December 2019 – Discussion started: 28 February 2020 Revised: 4 June 2020 – Accepted: 12 June 2020 – Published: 15 July 2020 −3 Abstract. Atmospheric mineral dust influences Earth’s ra- PM10 of about 8 µg m . Mineral dust absorption was most diative budget, cloud formation, and lifetime; has adverse prominent at short wavelengths, yielding an average mass health effects; and affects air quality through the increase of absorption cross section (MAC) of 0:24 ± 0:01 m2 g−1 at regulatory PM10 concentrations, making its real-time quan- 370 nm and an absorption Ångström exponent of 1:41±0:29. tification in the atmosphere of strategic importance. Only This MAC value can be used as a site-specific parameter for few near-real-time techniques can discriminate dust aerosol online determination of mineral dust concentration. The un- in PM10 samples and they are based on the dust chemical certainty of the proposed method is discussed by comparing composition. The online determination of mineral dust us- and validating it with different methods. ing aerosol absorption photometers offers an interesting and competitive alternative but remains a difficult task to achieve. This is particularly challenging when dust is mixed with black carbon, which features a much higher mass absorption 1 Introduction cross section. We build on previous work using filter pho- tometers and present here for the first time a highly time- Atmospheric dust often dominates PM10 aerosol mass con- resolved online technique for quantification of mineral dust centrations in many regions of the world and is the second concentration by coupling a high-flow virtual impactor (VI) most abundant aerosol source at a global scale just after sea sampler that concentrates coarse particles with an aerosol ab- spray. Its lifetime in the atmosphere is similar to carbona- sorption photometer (Aethalometer, model AE33). The ab- ceous aerosols (Boucher et al., 2013). Dust particles modify sorption of concentrated dust particles is obtained by sub- the Earth’s radiation balance as they absorb and scatter light, tracting the absorption of the submicron (PM1) aerosol frac- affecting regional climate and precipitation regimes. The net tion from the absorption of the virtual impactor sample (VI- radiative effect of atmospheric dust depends on the interplay PM1 method). This real-time method for detecting desert between the heating of the atmosphere, due to the increased dust was tested in the field for a period of 2 months (April and absorption of sunlight, and cooling due to scattering of sun- May 2016) at a regional background site of Cyprus, in the light back into space, leading to a direct radiative forcing −2 Eastern Mediterranean. Several intense desert mineral dust for dust estimated around −0:1 ± 0:2 W m (Myhre et al., events were observed during the field campaign with dust 2013). Dust deposits on snow and ice increase the ion content −3 concentration in PM10 up to 45 µg m . Mineral dust was in snow and snow water (Greilinger et al., 2018), and these present most of the time during the campaign with an average exert a warming influence after deposition (Di Mauro et al., 2015). Desert dust impacts our health and economy. Saharan Published by Copernicus Publications on behalf of the European Geosciences Union. 3800 L. Drinovec et al.: A new optical-based technique dust events have been shown to increase morbidity and have a Dust scatters and absorbs light and its optical properties negative influence on health, mainly through respiratory and have been used in online measurements to derive the wave- cardiovascular effects (Middleton et al., 2008; Perez et al., length dependence of the single scattering albedo (SSA) (pa- 2012). The health effects of mineral dust are being consid- rameterized with the Ångström exponent) as the criterion ered in the context of regulation (WHO, 2018). Dust soiling to characterize Saharan dust events in the high Alpine re- of photovoltaics is a significant factor in energy production gion (Collaud Coen et al., 2004). The impact of Saharan dust and decreases output by up to several percent (Mani and Pil- events, showing increased absorption and scattering, was de- lai, 2010). Desert dust is a hazard for air and road transport, termined in the Eastern Mediterranean (Vrekoussis et al., can cause electric fields detrimental for communication, and 2005) and the Western Mediterranean (Pandolfi et al., 2011, impacts water quality and plants, when deposited, resulting 2014; Ealo et al., 2016). These measurements with high in great economic cost (Middleton, 2017), leading to the fic- time resolution have shown that the optical properties can be tionalization due to its importance (Herbert, 1965). used to identify dust events. Additionally, combining back- Dust particles are often transported from the Sahara over trajectory analysis and the SSA wavelength dependence, one the Mediterranean and southern Europe and can contribute can possibly detect local resuspension of dust, which impacts significantly to mass concentration of particles smaller than local air quality. However, these methods cannot determine 10 µm in diameter – PM10 (Rodriguez et al., 2001; Vrekous- the contribution of desert dust to PM10 concentrations in a sis et al., 2005). Mineral dust is considered natural aerosol quantitative manner. within the European Air Quality Directive (2008/50/EC) and, Few studies have reported the potential of using dust as such, can be subtracted from the daily (24 h) PM10 re- aerosol absorption properties to infer their ambient concen- ported by EU member states, potentially reducing the num- trations in PM10. These efforts started by using Aethalometer ber of days with PM10 exceedances (European Commission, instruments to determine the absorption coefficient attributed 2011). to iron compounds in dust, the determination of their mass Daily time resolution of the described method has been absorption cross section, and the determination of black car- validated with chemical composition and positive matrix fac- bon and dust in the marine boundary layer (Fialho et al., torization (PMF): the PM10 concentration above the daily re- 2005, 2006, 2014). The absorption of dust was due to iron gional background monthly 40th percentile has been shown compounds which were quantified using instrumental neu- to correlate well with aluminum (as a tracer of mineral dust) tron activation analysis. Zhang et al. (2008) used thermal- and the mineral dust factor from a PMF analysis (Viana et al., optical reflection to measure the carbonaceous fraction and 2010). Methods with higher temporal resolution have the po- proton-induced X-ray emission for elemental analysis, and tential to bring considerably more detail and information to they again used iron as the dust tracer to separate the con- the analysis of dust in PM10. These methods capture the tem- tributions of these two light-absorbing aerosol components. poral variability dependent on the synoptic conditions more These publications systematically biased the absorption co- accurately; they allow for the discrimination of long-range- efficients too high due to the assumption that the attenua- transported dust from the locally resuspended dust (traffic as tion of light in the filter is due to non-filter-enhanced absorp- an important example); they provide considerably more de- tion, neglecting the enhancement due to the scattering in the tail to constrain chemistry-transport models and can be used filter matrix. Using different influences of iron-containing in real time to inform the public and stakeholders and there- mineral dust and black carbon on SSA at different wave- fore improve adaptation measures. The higher time resolu- lengths and contrasting fine and coarse fractions, Derimian et tion requires use of novel and innovative approaches and in- al. (2008) quantified the iron concentrations in mineral dust. strumentation. Lately, more sophisticated techniques using filter photome- There are several sampling devices which allow for hourly ters were employed to determine the mineral dust absorption or subhourly sampling of ambient dust aerosols, such as the coefficients, mass absorption cross sections, and dust SSA. Streaker sampler, the DRUM (Davis Rotating-drum Unit for Caponi et al. (2017) used the multiwavelength absorbance Monitoring) sampler (Bukowiecki et al., 2005; Visser et al., analyzer to determine the absorption coefficients at multiple 2015), and the SEAS (Semi-continuous Elements in Aerosol wavelengths and obtain the absorption Ångström exponents Sampler) (Chen et al., 2016). Mass loadings of trace
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