Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Vesuviano, Via Diocleziano 328, 80124, Naples, Italy.
Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, Piazza Roma 2, 95125, Catania, Italy.
Sci Rep. 2023 Jul 10;13(1):11115. doi: 10.1038/s41598-023-38205-7.
Lava overflows are highly hazardous phenomena that can occur at Stromboli. They can destabilize the crater area and the "Sciara del Fuoco" unstable slope, formed by several sector collapses, which can generate potentially tsunamigenic landslides. In this study, we have identified precursors of the October-November 2022 effusive crisis through seismic and thermal camera measurements. We analyzed the lava overflow on October 9, which was preceded by a crater-rim collapse, and the overflow on November 16. In both cases, seismic precursors anticipating the overflow onset have been observed. The analysis of the seismic and thermal data led to the conclusion that the seismic precursors were caused by an escalating degassing process from the eruptive vent, which climaxed with the overflows. Volcano deformation derived from ground-based InSAR and strainmeter data showed that inflation of the crater area accompanied the escalating degassing process up to the beginning of the lava overflows. The inflation of the crater area was especially evident in the October 9 episode, which also showed a longer seismic precursor compared to the November 16 event (58 and 40 min respectively). These results are important for understanding Stromboli's eruptive mechanisms and open a perspective for early warning of potentially dangerous phenomena.
熔岩溢出是斯特龙博利火山极危险的现象。它们可能会破坏火山口区域和由多次山体滑坡形成的不稳定“Sciara del Fuoco”斜坡,从而引发可能引发海啸的滑坡。在这项研究中,我们通过地震和热成像仪测量,确定了 2022 年 10 月至 11 月喷发危机的前兆。我们分析了 10 月 9 日的熔岩溢出,其之前发生了火山口边缘崩塌,以及 11 月 16 日的熔岩溢出。在这两种情况下,都观察到了预示着熔岩溢出开始的地震前兆。对地震和热数据的分析得出的结论是,地震前兆是由喷发口不断加剧的排气过程引起的,这一过程在熔岩溢出时达到了高潮。基于地面 InSAR 和应变仪数据的火山形变表明,火山口区域的膨胀伴随着不断加剧的排气过程,直至熔岩溢出开始。火山口区域的膨胀在 10 月 9 日的事件中尤为明显,与 11 月 16 日的事件相比,其地震前兆也更长(分别为 58 分钟和 40 分钟)。这些结果对于理解斯特龙博利火山的喷发机制非常重要,并为潜在危险现象的预警开辟了新的视角。