Modelling the European wind-blown dust emissions and their impact on PM concentrations

Abstract

Abstract. Wind-blown dust (WBD) emitted by the Earth’s surface due to sandblasting can potentially have important effects on both climate and human health via interaction with solar and thermal radiation and reducing air-quality. Apart from the main dust "centers" around the world like deserts, dust can be emitted from partly vegetated middle and high latitude areas like Europe if certain conditions are suitable (strong winds, bare soil, reduced soil moisture, etc.). Using a wind-blown dust model (WBDUST) along with a chemical transport model (CAMx) coupled to a regional climate model (WRF), this study as one of the first ones provides a model based estimate of such emissions over Europe as well as the long-term impact of WBD emissions on the total PM concentrations for the 2007–2016 period. We estimated WBD emissions to about 0.5 and 1.5 Mg km−2 yr−1 in fine and coarse mode in average. Maximum emissions occur over Germany where the average seasonal fine and coarse mode emission flux can reach 0.2 and 0.5 g km−2 s−1, respectively. Large variability is seen in the daily averaged emissions with values up to 2 g km−2 s−1 for the coarse mode aerosol on selected days. The WBD emissions increased the modelled winter PM2.5 and PM10 concentrations by up to 10 and 20 μgm−3, respectively, especially over Germany, where the highest emissions occur. The impact on other seasons is lower. Much higher impacts are modelled however during selected days when occasionally the urban PM2.5 and PM10 concentrations are increased by more than 50 and 100 μgm−3. The comparison with measurements revealed that if WBD is considered, the summer biases are reduced however the winter PM is even more overestimated (so the bias increased). We identified strong overestimation of the modelled wind-speed (the maximum daily wind is almost 2 times higher in WRF than the measured ones) suggesting that WBD emissions are also overestimated hence the enhanced winter PM biases. Moreover, we investigated the secondary impacts of the crustal composition of fine WBD particles on secondary inorganic aerosol (SIA): sulphates (PSO4), nitrates (PNO3) and ammonium (PNH4). Due to perturbing the water pH value and thus the uptake of their gaseous precursors as well as due to increased aerosol surface serving as oxidation site, we modelled increased seasonal PSO4 and PNO3 concentrations by up to 0.1 μgm−3 and decreases for PNH4 (by up to -0.05 μgm−3), especially during winter. As the average daily impact, these numbers can however reach much larger values up to 1–2 μgm−3 for sulphates and nitrates while the decrease of ammonium due to WBD can reach -1 μgm−3 on selected days. The sensitivity test on the choice of the inorganic equilibrium model (ISORROPIA vs. EQSAM) showed that if EQSAM is used, the impact on SIA is slightly stronger (by a few 10 %) due to larger number of cations considered for water pH in EQSAM. Our results have to be considered as a first estimate of the long-term WBD emissions and the related effects on PM over Europe. More sensitivity studies involving the impact of the WBD model choice and the input data used to describe the land-surface need to be carried out in future to better constrain these emissions.

FUME 2.0 – Flexible Universal processor for Modeling Emissions

“…cz/en/air_quality, last access: 7 May 2024). FUME is also used in the operational high-resolution air quality forecasting system "Libuše" (http://libuse.urbipragensi.cz/aq/, last access: 7 May 2024), created for Prague within the URBI PRAGENSI project ( Ďoubalová et al, 2020), and was also applied in emission calculation for assessing the impact of urban emissions over central Europe (Huszar et al, 2021(Huszar et al, , 2022(Huszar et al, , 2024, the impact of natural emission like windblown dust (Liaskoni et al, 2023), and the impact of the urban canopy meteorological forcing on both gas-phase and PM air quality (Huszar et al, 2018b;Huszár et al, 2018a;Huszar et al, 2020b, a). Recently, it has also been used for emission calculation in a regional long-term ozone study (Karlicky et al, 2024).…”

FUME 2.0 – Flexible Universal processor for Modeling Emissions

“…cz/en/air_quality, last access: 7 May 2024). FUME is also used in the operational high-resolution air quality forecasting system "Libuše" (http://libuse.urbipragensi.cz/aq/, last access: 7 May 2024), created for Prague within the URBI PRAGENSI project ( Ďoubalová et al, 2020), and was also applied in emission calculation for assessing the impact of urban emissions over central Europe (Huszar et al, 2021(Huszar et al, , 2022(Huszar et al, , 2024, the impact of natural emission like windblown dust (Liaskoni et al, 2023), and the impact of the urban canopy meteorological forcing on both gas-phase and PM air quality (Huszar et al, 2018b;Huszár et al, 2018a;Huszar et al, 2020b, a). Recently, it has also been used for emission calculation in a regional long-term ozone study (Karlicky et al, 2024).…”