Rupture Models of the 2016 Central Italy Earthquake Sequence from Joint Inversion of Strong-Motion and InSAR Datasets: Implications for Fault Behavior

Zhu, Chuanhua1,2; Wang, Chisheng1,2; Shan, Xinjian3; Zhang, Guohong3; Li, Qingquan1,2; Zhu, Jiasong1,4; Zhang, Bochen1,4; Liu, Peng5

2022-04-01

10.3390/rs14081819

REMOTE SENSING   影响因子和分区

2072-4292

We derived the joint slip models of the three major events in the 2016 Central Italy earthquake sequence by inverting strong-motion and InSAR datasets. b-values and the historic earthquake scarp offset were also investigated after processing the earthquake catalog and near-field digital elevation model data. The three major events gradually released seismic moments of 1.6 x 10(18) Nm (M-w 6.1), 1.5 x 10(18) Nm (M-w 6.1), and 1.1 x 10(19) Nm (M-w 6.7), respectively. All the ruptures exhibit both updip and along-strike directivity, but differ in the along-strike propagation direction. The high b-value found beneath three mainshock hypocenters suggests possible fluid intrusions, explaining the cascading earthquake behavior. The cumulative surface scarp from past earthquakes shows rupturing features that are consistent with the 2016 earthquake sequence, suggesting a characteristic fault behavior. Under the assumption of the Gutenberg-Richter law, the slip budget closure test gives a maximum magnitude of M-w 6.7 and implies the seismic hazard from the largest event has been released in this sequence.

source inversion rupture model strong motion InSAR seismic hazard

SCI ; EI

英语

其他

National Key Research and Development Program of China[2019YFC1509203] ; National Natural Science Foundation of China[41974006] ; Shenzhen Science and Technology Program["RCYX20210706092140076",20200812164904001] ; state Key Laboratory of Earthquake Dynamics[LED2021B05] ; Lhasa National Geophysical Observation and Research Station[NORSLS20-08]

Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology

Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology

WOS:000787403300001

MDPI

20221712039986

Budget control ; Earthquake effects ; Faulting ; Hazards

Earthquake Measurements and Analysis:484.1 ; Secondary Earthquake Effects:484.2 ; Accidents and Accident Prevention:914.1

Web of Science

1.Shenzhen Univ, Minist Nat Resources MNR, Key Lab Geoenvironm Monitoring Great Bay Area, Guangdong Key Lab Urban Informat,Shenzhen Key Lab, Shenzhen 518060, Peoples R China
2.Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China
3.China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China
4.Shenzhen Univ, Coll Civil & Transportat Engn, Shenzhen 518060, Peoples R China
5.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen 518055, Peoples R China

Zhu, Chuanhua,Wang, Chisheng,Shan, Xinjian,et al. Rupture Models of the 2016 Central Italy Earthquake Sequence from Joint Inversion of Strong-Motion and InSAR Datasets: Implications for Fault Behavior[J]. REMOTE SENSING,2022,14(8).

Zhu, Chuanhua.,Wang, Chisheng.,Shan, Xinjian.,Zhang, Guohong.,Li, Qingquan.,...&Liu, Peng.(2022).Rupture Models of the 2016 Central Italy Earthquake Sequence from Joint Inversion of Strong-Motion and InSAR Datasets: Implications for Fault Behavior.REMOTE SENSING,14(8).

Zhu, Chuanhua,et al."Rupture Models of the 2016 Central Italy Earthquake Sequence from Joint Inversion of Strong-Motion and InSAR Datasets: Implications for Fault Behavior".REMOTE SENSING 14.8(2022).