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A comprehensive suite of earthquake catalogues for the 2016-2017 Central Italy seismic sequence
被引:8
|作者:
Chiaraluce, Lauro
[1
]
Michele, Maddalena
[1
]
Waldhauser, Felix
[2
]
Tan, Yen Joe
[3
]
Herrmann, Marcus
[4
]
Spallarossa, Daniele
[5
]
Beroza, Gregory C.
[6
]
Cattaneo, Marco
[1
]
Chiarabba, Claudio
[1
]
De Gori, Pasquale
[1
]
Di Stefano, Raffaele
[1
]
Ellsworth, William
[6
]
Main, Ian
[7
]
Mancini, Simone
[8
]
Margheriti, Lucia
[1
]
Marzocchi, Warner
[4
]
Meier, Men-Andrin
[9
]
Scafidi, Davide
[5
]
Schaff, David
[2
]
Segou, Margarita
[10
]
机构:
[1] Ist Nazl Geofis & Vulcanol, Osservatorio Nazl Terremoti, Via Vigna Murata 605, I-00143 Rome, Italy
[2] Columbia Univ, Lamont Doherty Earth Observ, 61 Rte 9 W, Palisades, NY 10964 USA
[3] Chinese Univ Hong Kong, Shatin, Hong Kong, Peoples R China
[4] Univ Naples Federico II, Via Cinthia 21, I-80126 Naples, Italy
[5] Univ Genoa, Dipartimento Sci Terra Ambiente & Vita, Corso Europa 26, I-16132 Genoa, Italy
[6] Stanford Univ, Dept Geophys, 397 Panama Mall, Stanford, CA 94305 USA
[7] Univ Edinburgh, Grant Inst, Sch Geosci, James Hutton Rd, Edinburgh EH9 3FE, Midlothian, Scotland
[8] Scuola Super Meridionale, Largo S Marcellino 10, I-80138 Naples, Italy
[9] Swiss Fed Inst Technol, ETH, Ramistr 101, CH-8092 Zurich, Switzerland
[10] British Geol Survey, Lyell Ctr, Res Ave S, Edinburgh EH14 4AP, Midlothian, Scotland
基金:
美国国家科学基金会;
欧盟地平线“2020”;
关键词:
30;
OCTOBER;
2016;
M-W;
6.5;
MAGNITUDE;
NORTHERN;
FAULT;
COMPLETENESS;
PERFORMANCE;
ALGORITHM;
QUALITY;
SCALE;
D O I:
10.1038/s41597-022-01827-z
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
The protracted nature of the 2016-2017 central Italy seismic sequence, with multiple damaging earthquakes spaced over months, presented serious challenges for the duty seismologists and emergency managers as they assimilated the growing sequence to advise the local population. Uncertainty concerning where and when it was safe to occupy vulnerable structures highlighted the need for timely delivery of scientifically based understanding of the evolving hazard and risk. Seismic hazard assessment during complex sequences depends critically on up-to-date earthquake catalogues-i.e., data on locations, magnitudes, and activity of earthquakes-to characterize the ongoing seismicity and fuel earthquake forecasting models. Here we document six earthquake catalogues of this sequence that were developed using a variety of methods. The catalogues possess different levels of resolution and completeness resulting from progressive enhancements in the data availability, detection sensitivity, and hypocentral location accuracy. The catalogues range from real-time to advanced machine-learning procedures and highlight both the promises as well as the challenges of implementing advanced workflows in an operational environment.
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页数:13
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