4.7 Article

Quantifying Effusion Rates at Active Volcanoes through Integrated Time-Lapse Laser Scanning and Photography

期刊

REMOTE SENSING
卷 7, 期 11, 页码 14967-14987

出版社

MDPI
DOI: 10.3390/rs71114967

关键词

lava flow; scoria cone; effusion rate; terrestrial laser scanning; time-lapse photography; Mt; Etna

资金

  1. Natural Environment Research Council (NERC) [NE/F018010/1]
  2. NERC [NE/H018867]
  3. 3DLaserMapping
  4. NERC [NE/F018010/1] Funding Source: UKRI
  5. Natural Environment Research Council [NE/F018010/1, ceh010010] Funding Source: researchfish

向作者/读者索取更多资源

During volcanic eruptions, measurements of the rate at which magma is erupted underpin hazard assessments. For eruptions dominated by the effusion of lava, estimates are often made using satellite data; here, in a case study at Mount Etna (Sicily), we make the first measurements based on terrestrial laser scanning (TLS), and we also include explosive products. During the study period (17-21 July 2012), regular Strombolian explosions were occurring within the Bocca Nuova crater, producing a similar to 50 m-high scoria cone and a small lava flow field. TLS surveys over multi-day intervals determined a mean cone growth rate (effusive and explosive products) of similar to 0.24 m(3)s(-1). Differences between 0.3-m resolution DEMs acquired at 10-minute intervals captured the evolution of a breakout lava flow lobe advancing at 0.01-0.03 m(3)s(-1). Partial occlusion within the crater prevented similar measurement of the main flow, but integrating TLS data with time-lapse imagery enabled lava viscosity (7.4 x 10(5) Pas) to be derived from surface velocities and, hence, a flux of 0.11 m(3)s(-1) to be calculated. Total dense rock equivalent magma discharge estimates are similar to 0.1-0.2 m(3)s(-1) over the measurement period and suggest that simultaneous estimates from satellite data are somewhat overestimated. Our results support the use of integrated TLS and time-lapse photography for ground-truthing space-based measurements and highlight the value of interactive image analysis when automated approaches, such as particle image velocimetry (PIV), fail.

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