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The BrIdge voLcanic LIdar—BILLI: A Review of Data Collection and Processing Techniques in the Italian Most Hazardous Volcanic Areas.
- Source :
- Applied Sciences (2076-3417); Sep2020, Vol. 10 Issue 18, p6402, 23p
- Publication Year :
- 2020
-
Abstract
- Featured Application: Authors are encouraged to provide a concise description of the specific application or a potential application of the work. This section is not mandatory. Volcanologists have demonstrated that carbon dioxide (CO<subscript>2</subscript>) fluxes are precursors of volcanic eruptions. Controlling volcanic gases and, in particular, the CO<subscript>2</subscript> flux, is technically challenging, but we can retrieve useful information from magmatic/geological process studies for the mitigation of volcanic hazards including air traffic security. Existing techniques used to probe volcanic gas fluxes have severe limitations such as the requirement of near-vent in situ measurements, which is unsafe for operators and deleterious for equipment. In order to overcome these limitations, a novel range-resolved DIAL-Lidar (Differential Absorption Light Detection and Ranging) has been developed as part of the ERC (European Research Council) Project "BRIDGE", for sensitive, remote, and safe real-time CO<subscript>2</subscript> observations. Here, we report on data collection, processing techniques, and the most significant findings of the experimental campaigns carried out at the most hazardous volcanic areas in Italy: Pozzuoli Solfatara (Phlegraen Fields), Stromboli, and Mt. Etna. The BrIdge voLcanic LIdar—BILLI has successfully obtained accurate measurements of in-plume CO<subscript>2</subscript> concentration and flux. In addition, wind velocity has also been retrieved. It has been shown that the measurements of CO<subscript>2</subscript> concentration performed by BILLI are comparable to those carried out by volcanologists with other standard techniques, heralding a new era in the observation of long-term volcanic gases. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 10
- Issue :
- 18
- Database :
- Complementary Index
- Journal :
- Applied Sciences (2076-3417)
- Publication Type :
- Academic Journal
- Accession number :
- 146549612
- Full Text :
- https://doi.org/10.3390/app10186402