Articles | Volume 18, issue 9
https://doi.org/10.5194/nhess-18-2355-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-2355-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Sep 2018
Research article |
| 12 Sep 2018
| 12 Sep 2018
Growth of a sinkhole in a seismic zone of the northern Apennines (Italy)
Alessandro La Rosa
CORRESPONDING AUTHOR
Dipartimento di Scienze della Terra, Università degli Studi di Firenze, Via G. La Pira, 4, 50121 Florence, Italy
Dipartimento di Scienze della Terra, Università di Pisa, Via S. Maria, 53, 56126 Pisa, Italy
Carolina Pagli
Dipartimento di Scienze della Terra, Università di Pisa, Via S. Maria, 53, 56126 Pisa, Italy
Giancarlo Molli
Dipartimento di Scienze della Terra, Università di Pisa, Via S. Maria, 53, 56126 Pisa, Italy
Francesco Casu
CNR, Consiglio Nazionale delle Ricerche, Istituto per il Rilevamento Elettromagnetico dell'Ambiente (IREA-CNR), Via Diocleziano, 328, 80124 Naples, Italy
Claudio De Luca
CNR, Consiglio Nazionale delle Ricerche, Istituto per il Rilevamento Elettromagnetico dell'Ambiente (IREA-CNR), Via Diocleziano, 328, 80124 Naples, Italy
Amerino Pieroni
Pro.Geo. s.r.l. Via Valmaira, 14, 55032, Castelnuovo di Garfagnana, Italy
Giacomo D'Amato Avanzi
Dipartimento di Scienze della Terra, Università di Pisa, Via S. Maria, 53, 56126 Pisa, Italy
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Cited
13 citations as recorded by crossref.
- Modelling Cover-Collapse Sinkholes That Appeared after the M6.2 Petrinja Earthquake in Croatia Using Electrical Resistivity Tomography Data F. Šumanovac & Ž. Pekaš 10.3390/su15021124
- RUDE-AL: Roped UGV Deployment Algorithm of an MCDPR for Sinkhole Exploration D. Orbea et al. 10.3390/s23146487
- Surface Deformation Monitoring and Risk Mapping in the Surroundings of the Solotvyno Salt Mine (Ukraine) between 1992 and 2021 E. Dobos et al. 10.3390/su14137531
- Multi- and inter-disciplinary approaches towards understanding the sinkholes’ phenomenon in the Dead Sea Basin H. Salem 10.1007/s42452-020-2146-0
- Machine learning for sinkhole risk mapping in Guidonia-Bagni di Tivoli plain (Rome), Italy S. Bianchini et al. 10.1080/10106049.2022.2113455
- Contribution of water geochemistry and isotopes (δ18O, δ2H, 3H, 87Sr/86Sr and δ11B) to the study of groundwater flow properties and underlying bedrock structures of a deep landslide M. Deiana et al. 10.1007/s12665-019-8772-4
- Evolution of surface deformation related to salt-extraction-caused sinkholes in Solotvyno (Ukraine) revealed by Sentinel-1 radar interferometry E. Szűcs et al. 10.5194/nhess-21-977-2021
- GIS-based sinkhole susceptibility mapping using the best worst method M. Maleki et al. 10.1007/s41324-023-00520-6
- Analysis of the Deformation Behavior and Sinkhole Risk in Kerdabad, Iran Using the PS-InSAR Method M. Khoshlahjeh Azar et al. 10.3390/rs13142696
- Fluid flow zones along fracture corridors inferred from collapse dolines in carbonates of the Irecê Basin, Brazil R. Maia et al. 10.1002/esp.5951
- Active Fault Systems in the Inner Northwest Apennines, Italy: A Reappraisal One Century after the 1920 Mw ~6.5 Fivizzano Earthquake G. Molli et al. 10.3390/geosciences11030139
- Detection of sinkhole activity in West-Central Florida using InSAR time series observations O. Talib et al. 10.1016/j.rse.2021.112793
- Spatial and temporal evolution of mining-induced sinkholes in the Gavorrano area (Tuscany, Italy): Insights from remote sensing and field data L. Tinagli et al. 10.1016/j.geomorph.2024.109137
13 citations as recorded by crossref.
- Modelling Cover-Collapse Sinkholes That Appeared after the M6.2 Petrinja Earthquake in Croatia Using Electrical Resistivity Tomography Data F. Šumanovac & Ž. Pekaš 10.3390/su15021124
- RUDE-AL: Roped UGV Deployment Algorithm of an MCDPR for Sinkhole Exploration D. Orbea et al. 10.3390/s23146487
- Surface Deformation Monitoring and Risk Mapping in the Surroundings of the Solotvyno Salt Mine (Ukraine) between 1992 and 2021 E. Dobos et al. 10.3390/su14137531
- Multi- and inter-disciplinary approaches towards understanding the sinkholes’ phenomenon in the Dead Sea Basin H. Salem 10.1007/s42452-020-2146-0
- Machine learning for sinkhole risk mapping in Guidonia-Bagni di Tivoli plain (Rome), Italy S. Bianchini et al. 10.1080/10106049.2022.2113455
- Contribution of water geochemistry and isotopes (δ18O, δ2H, 3H, 87Sr/86Sr and δ11B) to the study of groundwater flow properties and underlying bedrock structures of a deep landslide M. Deiana et al. 10.1007/s12665-019-8772-4
- Evolution of surface deformation related to salt-extraction-caused sinkholes in Solotvyno (Ukraine) revealed by Sentinel-1 radar interferometry E. Szűcs et al. 10.5194/nhess-21-977-2021
- GIS-based sinkhole susceptibility mapping using the best worst method M. Maleki et al. 10.1007/s41324-023-00520-6
- Analysis of the Deformation Behavior and Sinkhole Risk in Kerdabad, Iran Using the PS-InSAR Method M. Khoshlahjeh Azar et al. 10.3390/rs13142696
- Fluid flow zones along fracture corridors inferred from collapse dolines in carbonates of the Irecê Basin, Brazil R. Maia et al. 10.1002/esp.5951
- Active Fault Systems in the Inner Northwest Apennines, Italy: A Reappraisal One Century after the 1920 Mw ~6.5 Fivizzano Earthquake G. Molli et al. 10.3390/geosciences11030139
- Detection of sinkhole activity in West-Central Florida using InSAR time series observations O. Talib et al. 10.1016/j.rse.2021.112793
- Spatial and temporal evolution of mining-induced sinkholes in the Gavorrano area (Tuscany, Italy): Insights from remote sensing and field data L. Tinagli et al. 10.1016/j.geomorph.2024.109137
Discussed (final revised paper)
Latest update: 14 Dec 2024
Short summary
We use a multi-disciplinary dataset to show that the Prà di Lama sinkhole was created through several episodic events of unrest. We suggest that fluid circulation along an active fault zone, accompanied by localized seismic creep, control the growth of the Prà di Lama deep-sited sinkhole. Conversely, a connection between events of unrest and the largest earthquakes in northern Tuscany is not identified. This paper provides new insights into the evolution of sinkholes in active fault zones.
We use a multi-disciplinary dataset to show that the Prà di Lama sinkhole was created through...
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Final-revised paper
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