The INSIEME seismic network: a research infrastructure for studying induced seismicity in the High Agri Valley (southern Italy)
-
Published:2020-03-04
Issue:1
Volume:12
Page:519-538
-
ISSN:1866-3516
-
Container-title:Earth System Science Data
-
language:en
-
Short-container-title:Earth Syst. Sci. Data
Author:
Stabile Tony AlfredoORCID, Serlenga VincenzoORCID, Satriano ClaudioORCID, Romanelli Marco, Gueguen Erwan, Gallipoli Maria Rosaria, Ripepi ErmannORCID, Saurel Jean-Marie, Panebianco SerenaORCID, Bellanova Jessica, Priolo EnricoORCID
Abstract
Abstract. The High Agri Valley is a tectonically active area in
southern Italy characterized by high seismic hazard related to fault systems
capable of generating up to M=7 earthquakes (i.e. the 1857 Mw=7
Basilicata earthquake). In addition to the natural seismicity, two different
clusters of induced microseismicity were recognized to be caused by
industrial operations carried out in the area: (1) the water loading and
unloading operations in the Pertusillo artificial reservoir and (2) the
wastewater disposal at the Costa Molina 2 injection well. The twofold nature
of the recorded seismicity in the High Agri Valley makes it an ideal study
area to deepen the understanding of driving processes of both natural and
anthropogenic earthquakes and to improve the current methodologies for the
discrimination between natural and induced seismic events by collecting
high-quality seismic data. Here we present the dataset gathered by the
INSIEME seismic network that was installed in the High Agri Valley within
the SIR-MIUR research project INSIEME (INduced Seismicity in Italy:
Estimation, Monitoring, and sEismic risk mitigation). The seismic network
was planned with the aim to study the two induced seismicity clusters and to
collect a full range of open-access data to be shared with the whole
scientific community. The seismic network is composed of eight stations
deployed in an area of 17 km×11 km around the two clusters of
induced microearthquakes, and it is equipped with triaxial weak-motion
broadband sensors placed at different depths down to 50 m. It allows us to
detect induced microearthquakes, local and regional earthquakes, and teleseismic
events from continuous data streams transmitted in real time to the CNR-IMAA
Data Centre. The network has been registered at the International Federation
of Digital Seismograph Networks (FDSN) with code 3F. Data collected until
the end of the INSIEME project (23 March 2019) are already released with
open-access policy through the FDSN web services and are available from IRIS
DMC (https://doi.org/10.7914/SN/3F_2016; Stabile
and INSIEME Team, 2016). Data collected after the project will be available with the
permanent network code VD (https://doi.org/10.7914/SN/VD, CNR IMAA Consiglio Nazionale delle Ricerche, 2019) as part of the
High Agri Valley geophysical Observatory (HAVO), a multi-parametric network
managed by the CNR-IMAA research institute.
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
Reference63 articles.
1. Beauducel, F., Lafon, D., Béguin, X., Saurel, J.-M., Bosson, A., Mallarino, D., Boissier, P., Brunet, C., Lemarchand, A., Anténor-Habazac, C., Nercessian, A., and Fahmi, A. A.: WebObs: The Volcano Observatories Missing Link Between Research and Real-Time Monitoring, Front. Earth Sci., 8, 48, https://doi.org/10.3389/feart.2020.00048, 2020. 2. Bensen, G. D., Ritzwoller, M. H., Barmin, M. P., Levshin, A. L., Lin, F.,
Moschetti, M. P., Shapiro, N. M., and Yang, Y.: Processing seismic ambient
noise data to obtain reliable broad-band surface wave dispersion
measurements, Geophys. J. Int., 169, 1239–1260,
https://doi.org/10.1111/j.1365-246X.2007.03374.x, 2007. 3. Beyreuther, M., Barsch, R., Krischer, L., Megies, T., Behr, Y., and
Wassermann, J.: ObsPy: A Python Toolbox for Seismology, Seismol. Res. Lett.,
81, 530–533, https://doi.org/https://doi.org/10.1785/gssrl.81.3.530, 2010. 4. Burrato, P. and Valensise, G.: Rise and Fall of a Hypothesized Seismic Gap:
Source Complexity in the Mw 7.0 16 December 1857 Southern Italy Earthquake,
B. Seismol. Soc. Am., 98, 140–144,
https://doi.org/10.1785/0120070094, 2008. 5. Clarke, D., Zaccarelli, L., Shapiro, N. M., and F. Brenguier, F.: Assessment
of resolution and accuracy of the Moving Window Cross Spectral technique for
monitoring crustal temporal variations using ambient seismic noise, Geophys.
J. Int., 186, 867–882, https://doi.org/10.1111/j.1365-246X.2011.05074.x,
2011.
Cited by
13 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|