New advances in dial-lidar-based remote sensing of the volcanic CO

Alessandro Aiuppa, Luca Fiorani, Simone Santoro, Stefano Parracino, Roberto D’Aleo, Marco Liuzzo, Giovanni Maio, Marcello Nuvoli

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Abstract

We report here on the results of a proof-of-concept study aimed at remotely sensing the volcanic CO2flux using a Differential Adsorption lidar (DIAL-lidar). The observations we report on were conducted in June 2014 on Stromboli volcano, where our lidar (LIght Detection And Ranging) was used to scan the volcanic plume at ∼3km distance from the summit vents. The obtained results prove that a remotely operating lidar can resolve a volcanic CO2signal of a few tens of ppm (in excess to background air) over km-long optical paths. We combine these results with independent estimates of plume transport speed (from processing of UV Camera images) to derive volcanic CO2flux time-series of ≈16–33min temporal resolution. Our lidar-based CO2fluxes range from 1.8 ± 0.5 to 32.1 ±8.0kg/s, and constrain the daily averaged CO2emissions fromStromboli at 8.3 ± 2.1 to 18.1 ± 4.5kg/s (or 718–1565 tons/day). These inferred fluxes fall within the range of earlier observations at Stromboli. They also agree well with contemporaneous CO2flux determinations (8.4–20.1kg/s) obtained using a standard approach that combines Multi-GAS-based in-plume readings of the CO2/SO2ratio (≈8) with UV-camera sensed SO2fluxes (1.5–3.4kg/s). We conclude that DIAL-lidars offer new prospects for safer (remote) instrumental observations of the volcanic CO2flux.
Original languageEnglish
Article number15
Pages (from-to)-
JournalFrontiers in Earth Science
Volume5
DOIs
Publication statusPublished - 21 Feb 2017
Externally publishedYes

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All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

Cite this

Aiuppa, A., Fiorani, L., Santoro, S., Parracino, S., D’Aleo, R., Liuzzo, M., Maio, G., & Nuvoli, M. (2017). New advances in dial-lidar-based remote sensing of the volcanic CO. Frontiers in Earth Science, 5, -. [15]. https://doi.org/10.3389/feart.2017.00015