de Oliveira Coelho Diogo Luiz, de Bianchi Marcelo B, Maurício Ítalo C B S, Chaves Carlos A M, Fontes Sergio L, Borges Ricardo G
Departamento de Geofísica, Observatório Nacional, Rio de Janeiro, 20921-400, Brazil.
Departamento de Geofísica, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, São Paulo, 05508-090, Brazil.
Sci Rep. 2025 May 30;15(1):19089. doi: 10.1038/s41598-025-03250-x.
Seismic station coverage in the oceans is limited due to high costs and logistical challenges, leading to insufficient earthquake data from oceanic regions. Ocean drones, with quiet operation, buoyancy-driven mechanics, and autonomous underwater profiling, provide a promising alternative for near-real-time data acquisition. We evaluated an oceanic seismological platform using 6 years (2015-2021) of passive acoustic monitoring data from ocean drones in the Santos Basin, southeastern Brazil, originally not designed for earthquake monitoring. Our analysis identified 12 potential earthquake signals, characterized by low-frequency seismic energy and emergent patterns. These findings demonstrate that ocean gliders are highly effective for earthquake monitoring, offering significant advantages for long-term, targeted seismic observations in coastal and marginal areas where conventional methods often face operational limitations.
由于成本高昂和后勤保障方面的挑战，海洋中的地震台站覆盖范围有限，导致来自海洋区域的地震数据不足。海洋无人机具有运行安静、浮力驱动机制和自主水下剖面测量等特点，为近实时数据采集提供了一种很有前景的替代方案。我们利用巴西东南部桑托斯盆地海洋无人机6年（2015年至2021年）的被动声学监测数据，对一个海洋地震学平台进行了评估，这些数据最初并非用于地震监测。我们的分析识别出了12个潜在地震信号，其特征为低频地震能量和突发模式。这些发现表明，海洋滑翔器在地震监测方面非常有效，对于传统方法常常面临运行限制的沿海和边缘地区的长期、有针对性的地震观测具有显著优势。
