Gas mass derived by infrasound and UV cameras: Implications for mass flow rate

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• 作者：D. Delle Donne^a ; ^b ; ^{dario.delledonne@unipa.it" class="auth_mail" title="E-mail the corresponding author} ; M. Ripepe^b ; G. Lacanna^b ; G. Tamburello^a ; M. Bitetto^a ; A. Aiuppa^a ; ^c
• 关键词：Volcano acoustics ; Sulphur dioxide camera ; Thermal imagery ; Mass flow rate
• 刊名：Journal of Volcanology and Geothermal Research
• 出版年：2016
• 出版时间：1 October 2016
• 年：2016
• 卷：325
• 期：Complete
• 页码：169-178
• 全文大小：1401 K

文摘

Mass Flow Rate is one of the most crucial eruption source parameter used to define magnitude of eruption and to quantify the ash dispersal in the atmosphere. However, this parameter is in general difficult to be derived and no valid technique has been developed yet to measure it in real time with sufficient accuracy. Linear acoustics has been applied to infrasonic pressure waves generated by explosive eruptions to indirectly estimate the gas mass erupted and then the mass flow rate. Here, we test on Stromboli volcano (Italy) the performance of such methodology by comparing the acoustic derived results with independent gas mass estimates obtained with UV cameras, and constraining the acoustic source by thermal imagery. We show that different acoustic methods give comparable total gas masses in the 2 to 1425 kg range, which are fully consistent with the gas masses derived by UV cameras and previous direct SO₂ measurements.

We show that total erupted gas mass, estimated by infrasound is not simply a function of the initial pressure, but rather the full infrasonic waveform should be considered. Thermal imagery provides evidence that infrasound is generated during the entire gas thrust phase. We provide examples to show how total gas masses derived by infrasonic signals can be affected by large uncertainties if duration of the signal is neglected. Only when duration of infrasound is included, the best correlation (0.8) with UV cameras and the 1:1 direct linear proportionality is obtained. Our results open new perspective for remotely derived gas mass and mass flow rates from acoustic signals.