Preprints
https://doi.org/10.5194/egusphere-2023-2867
https://doi.org/10.5194/egusphere-2023-2867
18 Dec 2023
 | 18 Dec 2023
Status: this preprint is open for discussion.

Probabilistic hazard assessment of the gas emission of Mefite d’Ansanto, Southern Italy

Fabio Dioguardi, Giovanni Chiodini, and Antonio Costa

Abstract. The emission of gas species dangerous for human health and life is a widespread source of hazard in various natural contexts. These mainly include volcanic areas but also non-volcanic geological contexts. A notable example of the latter occurrence is the Mefite d’Ansanto area in the Southern Apennines in Italy. Here, large emissions of carbon dioxide (CO2) occur at rates that make this the largest non-volcanic CO2 gas emission in Italy and probably of the Earth. Given the topography of the area, in certain meteorological conditions a cold gas stream forms in the valleys surrounding the emission zone, which proved to be potentially lethal for humans and animals in the past. In this study we present a gas hazard quantification study that considers the main specie, that is CO2, and the potential effect of the most dangerous, which is hydrogen sulphide (H2S). For these purposes we used VIGIL, a tool that manages the workflow of gas dispersion simulations specifically optimised for probabilistic hazard applications. Results are discussed and presented in form of maps of CO2 and H2S concentration and persistence at various exceedance probabilities considering the gas emission rates and their possible range of variation defined in previous studies.

Fabio Dioguardi, Giovanni Chiodini, and Antonio Costa

Status: open (until 15 Mar 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Fabio Dioguardi, Giovanni Chiodini, and Antonio Costa
Fabio Dioguardi, Giovanni Chiodini, and Antonio Costa

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Short summary
We present results of non-volcanic gas (CO2) hazard assessment at the Mefite d’Ansanto area (Italy) where a cold gas stream, which had already been lethal for humans and animals, forms in the valleys surrounding the emission zone. We took the uncertainty related to the gas emission and meteorological conditions into account. Results include maps of CO2 concentration at defined probability levels and of the probability to overcome specified CO2 concentrations over specified time intervals.