Articles | Volume 15, issue 1
https://doi.org/10.5194/nhess-15-171-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-171-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Jan 2015
Research article |
| 29 Jan 2015
A scoring test on probabilistic seismic hazard estimates in Italy
D. Albarello
Dipartimento di Scienze Fisiche, della Terra e dell'Ambiente, Università degli Studi di Siena, Siena, Italy
OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale), Trieste, Italy
V. D'Amico
Istituto Nazionale di Geofisica e Vulcanologia, Pisa, Italy
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Cited
12 citations as recorded by crossref.
- Update of the single-station sigma analysis for the Italian strong-motion stations G. Lanzano et al. https://doi.org/10.1007/s10518-016-9972-x
- Seismic characterization and reconstruction of reference ground motion at accelerometric sites of the Italian national accelerometric network (RAN) D. Albarello et al. https://doi.org/10.1007/s11069-016-2310-4
- Reconstructing seismic ground motion at reference site conditions: the case of accelerometric records of the Italian National Accelerometric Network (RAN) S. Castellaro & D. Albarello https://doi.org/10.1007/s10518-016-0032-3
- Validation of seismic hazard curves using a calibrated 14 ka lacustrine record in the Eastern Alps, Austria C. Daxer et al. https://doi.org/10.1038/s41598-022-24487-w
- Empirical scoring of ground motion prediction equations for probabilistic seismic hazard analysis in Italy including site effects S. Barani et al. https://doi.org/10.1007/s10518-016-0040-3
- Probabilistic Seismic Hazard Analysis at Regional and National Scales: State of the Art and Future Challenges M. Gerstenberger et al. https://doi.org/10.1029/2019RG000653
- Evaluating the 2016 One‐Year Seismic Hazard Model for the Central and Eastern United States Using Instrumental Ground‐Motion Data S. Mostafa Mousavi & G. Beroza https://doi.org/10.1785/0220170226
- Improving seismic hazard approaches for critical infrastructures: a pilot study in the Po Plain M. Vanini et al. https://doi.org/10.1007/s10518-017-0102-1
- Validation of the Probabilistic Seismic Hazard Assessment by the Taiwan Earthquake Model through Comparison with Strong Ground Motion Observations J. Gao et al. https://doi.org/10.1785/0220210186
- Accounting for spatial correlation in the empirical scoring of probabilistic seismic hazard estimates D. Albarello & L. Peruzza https://doi.org/10.1007/s10518-016-9961-0
- Optimizing Interpolation Methods and Point Distances for Accurate Earthquake Hazard Mapping S. Alavi et al. https://doi.org/10.3390/buildings14061823
- Testing strong motion stations continuity of operation using random fields and intensity data E. Fiorini & P. Bazzurro https://doi.org/10.1007/s10518-016-9978-4
12 citations as recorded by crossref.
- Update of the single-station sigma analysis for the Italian strong-motion stations G. Lanzano et al. https://doi.org/10.1007/s10518-016-9972-x
- Seismic characterization and reconstruction of reference ground motion at accelerometric sites of the Italian national accelerometric network (RAN) D. Albarello et al. https://doi.org/10.1007/s11069-016-2310-4
- Reconstructing seismic ground motion at reference site conditions: the case of accelerometric records of the Italian National Accelerometric Network (RAN) S. Castellaro & D. Albarello https://doi.org/10.1007/s10518-016-0032-3
- Validation of seismic hazard curves using a calibrated 14 ka lacustrine record in the Eastern Alps, Austria C. Daxer et al. https://doi.org/10.1038/s41598-022-24487-w
- Empirical scoring of ground motion prediction equations for probabilistic seismic hazard analysis in Italy including site effects S. Barani et al. https://doi.org/10.1007/s10518-016-0040-3
- Probabilistic Seismic Hazard Analysis at Regional and National Scales: State of the Art and Future Challenges M. Gerstenberger et al. https://doi.org/10.1029/2019RG000653
- Evaluating the 2016 One‐Year Seismic Hazard Model for the Central and Eastern United States Using Instrumental Ground‐Motion Data S. Mostafa Mousavi & G. Beroza https://doi.org/10.1785/0220170226
- Improving seismic hazard approaches for critical infrastructures: a pilot study in the Po Plain M. Vanini et al. https://doi.org/10.1007/s10518-017-0102-1
- Validation of the Probabilistic Seismic Hazard Assessment by the Taiwan Earthquake Model through Comparison with Strong Ground Motion Observations J. Gao et al. https://doi.org/10.1785/0220210186
- Accounting for spatial correlation in the empirical scoring of probabilistic seismic hazard estimates D. Albarello & L. Peruzza https://doi.org/10.1007/s10518-016-9961-0
- Optimizing Interpolation Methods and Point Distances for Accurate Earthquake Hazard Mapping S. Alavi et al. https://doi.org/10.3390/buildings14061823
- Testing strong motion stations continuity of operation using random fields and intensity data E. Fiorini & P. Bazzurro https://doi.org/10.1007/s10518-016-9978-4
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