Inversion Techniques on Etna’s Volcanic Emissions and the Impact of Aeolus on Quantitative Dispersion Modeling

Kampouri, Anna; Amiridis, Vassilis; Georgiou, Thanasis; Solomos, Stavros; Binietoglou, Ioannis; Gialitaki, Anna; Marinou, Eleni; Gkikas, Antonis; Proestakis, Emmanouil; Rennie, Michael; Benedetti, Angela; Scollo, Simona; Mona, Lucia; Papagiannopoulos, Nikolaos; Zanis, Prodromos

doi:10.3390/environsciproc2023026187

Cited by 1 publication

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References 14 publications

(23 reference statements)

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“…The first class considers the Eulerian models, in which the variables are discretized on grids and the equations are solved with numerical methods, i.e., WRF-Chem [16] and FALL3D [17]. The second class considers the Lagrangian models, in which the trajectory of single particles is studied, i.e., FLEXPART [18], Hysplit [19,20] and NAME [21,22]. The Eulerian Weather Research and Forecasting-Chemistry (WRF-Chem) model has been recently utilised to study single paroxysmal events of Mt.…”

Section: Introductionmentioning

confidence: 99%

Modelling Paroxysmal and Mild-Strombolian Eruptive Plumes at Stromboli and Mt. Etna on 28 August 2019

Castorina,

Semprebello,

Gattuso

et al. 2023

Remote Sensing

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Volcanic eruptions pose a major natural hazard influencing the environment, climate and human beings at different temporal and spatial scales. Nevertheless, several volcanoes worldwide are poorly monitored and assessing the impact of their eruptions remains, in some cases, challenging. Nowadays, different numerical dispersion models are largely employed in order to evaluate the potential effects of volcanic plume dispersion due to the transport of ash and gases. On 28 August 2019, both Mt. Etna and Stromboli had eruptive activity; Mt. Etna was characterised by mild-Strombolian activity at summit craters, while at Stromboli volcano, a paroxysmal event occurred, which interrupted the ordinary typical-steady Strombolian activity. Here, we explore the spatial dispersion of volcanic sulphur dioxide (SO2) gas plumes in the atmosphere, at both volcanoes, using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) considering the ground-measured SO2 amounts and the plume-height as time-variable eruptive source parameters. The performance of WRF-Chem was assessed by cross-correlating the simulated SO2 dispersion maps with data retrieved by TROPOMI and OMI sensors. The results show a feasible agreement between the modelled dispersion maps and TROPOMI satellite for both volcanoes, with spatial pattern retrievals and a total mass of dispersed SO2 of the same order of magnitude. Predicted total SO2 mass for Stromboli might be underestimated due to the inhibition from ground to resolve the sin-eruptive SO2 emission due to the extreme ash-rich volcanic plume released during the paroxysm. This study demonstrates the feasibility of a WRF-Chem model with time-variable ESPs in simultaneously reproducing two eruptive plumes with different SO2 emission and their dispersion into the atmosphere. The operational implementation of this method could represent effective support for the assessment of local-to-regional air quality and flight security and, in case of particularly intense events, also on a global scale.

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Section: Introductionmentioning

confidence: 99%

Modelling Paroxysmal and Mild-Strombolian Eruptive Plumes at Stromboli and Mt. Etna on 28 August 2019

Castorina,

Semprebello,

Gattuso

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

show abstract

Inversion Techniques on Etna’s Volcanic Emissions and the Impact of Aeolus on Quantitative Dispersion Modeling

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Cited by 1 publication

References 14 publications

Modelling Paroxysmal and Mild-Strombolian Eruptive Plumes at Stromboli and Mt. Etna on 28 August 2019

Modelling Paroxysmal and Mild-Strombolian Eruptive Plumes at Stromboli and Mt. Etna on 28 August 2019

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