Le Pichon A, Pilger C, Ceranna L, Marchetti E, Lacanna G, Souty V, Vergoz J, Listowski C, Hernandez B, Mazet-Roux G, Dupont A, Hereil P
CEA/DAM/DIF, 91297, Arpajon, France.
BGR, B4.3, 30655, Hannover, Germany.
Sci Rep. 2021 Jul 14;11(1):14464. doi: 10.1038/s41598-021-93942-x.
Stromboli Volcano is well known for its persistent explosive activity. On July 3rd and August 28th 2019, two paroxysmal explosions occurred, generating an eruptive column that quickly rose up to 5 km above sea level. Both events were detected by advanced local monitoring networks operated by Istituto Nazionale di Geofisica e Vulcanologia (INGV) and Laboratorio di Geofisica Sperimentale of the University of Firenze (LGS-UNIFI). Signals were also recorded by the Italian national seismic network at a range of hundreds of kilometres and by infrasonic arrays up to distances of 3700 km. Using state-of-the-art propagation modeling, we identify the various seismic and infrasound phases that are used for precise timing of the eruptions. We highlight the advantage of dense regional seismo-acoustic networks to enhance volcanic signal detection in poorly monitored regions, to provide timely warning of eruptions and reliable source amplitude estimate to Volcanic Ash Advisory Centres (VAAC).
斯特龙博利火山以其持续的爆炸活动而闻名。2019年7月3日和8月28日，发生了两次阵发性爆炸，产生了一个喷发柱，迅速上升到海平面以上5公里处。这两次事件都被由意大利国家地球物理与火山学研究所（INGV）和佛罗伦萨大学实验地球物理实验室（LGS - UNIFI）运营的先进本地监测网络探测到。意大利国家地震网络也在数百公里的范围内记录到了信号，次声阵列在3700公里的距离内也记录到了信号。利用最先进的传播模型，我们识别出了用于精确确定火山喷发时间的各种地震和次声相位。我们强调了密集的区域地震声学网络在监测薄弱地区增强火山信号检测、向火山灰咨询中心（VAAC）及时提供火山喷发预警以及可靠的震源振幅估计方面的优势。
