Unknown

Dataset Information

0

Detecting long-lasting transients of earthquake activity on a fault system by monitoring apparent stress, ground motion and clustering.


ABSTRACT: Damaging earthquakes result from the evolution of stress in the brittle upper-crust, but the understanding of the mechanics of faulting cannot be achieved by only studying the large ones, which are rare. Considering a fault as a complex system, microearthquakes allow to set a benchmark in the system evolution. Here, we investigate the possibility to detect when a fault system starts deviating from a predefined benchmark behavior by monitoring the temporal and spatial variability of different micro-and-small magnitude earthquakes properties. We follow the temporal evolution of the apparent stress and of the event-specific residuals of ground shaking. Temporal and spatial clustering properties of microearthquakes are monitored as well. We focus on a fault system located in Southern Italy, where the Mw 6.9 Irpinia earthquake occurred in 1980. Following the temporal evolution of earthquakes parameters and their time-space distribution, we can identify two long-lasting phases in the seismicity patterns that are likely related to high pressure fluids in the shallow crust, which were otherwise impossible to decipher. Monitoring temporal and spatial variability of micro-to-small earthquakes source parameters at near fault observatories can have high potential as tool for providing us with new understanding of how the machine generating large earthquakes works.

SUBMITTER: Picozzi M 

PROVIDER: S-EPMC6838128 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Detecting long-lasting transients of earthquake activity on a fault system by monitoring apparent stress, ground motion and clustering.

Picozzi Matteo M   Bindi Dino D   Zollo Aldo A   Festa Gaetano G   Spallarossa Daniele D  

Scientific reports 20191107 1


Damaging earthquakes result from the evolution of stress in the brittle upper-crust, but the understanding of the mechanics of faulting cannot be achieved by only studying the large ones, which are rare. Considering a fault as a complex system, microearthquakes allow to set a benchmark in the system evolution. Here, we investigate the possibility to detect when a fault system starts deviating from a predefined benchmark behavior by monitoring the temporal and spatial variability of different mic  ...[more]

Similar Datasets

| S-EPMC9681762 | biostudies-literature
| S-EPMC5943053 | biostudies-literature
| S-EPMC4917818 | biostudies-literature
| S-EPMC9392755 | biostudies-literature
| S-EPMC7181691 | biostudies-literature
| S-EPMC8323935 | biostudies-literature
| S-EPMC4459208 | biostudies-literature
| S-EPMC6015626 | biostudies-literature
| S-EPMC7070410 | biostudies-literature
| S-EPMC10906929 | biostudies-literature