Articles | Volume 9, issue 4
https://doi.org/10.5194/gmd-9-1567-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-1567-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
26 Apr 2016
Model description paper |
| 26 Apr 2016
SiSeRHMap v1.0: a simulator for mapped seismic response using a hybrid model
Gerardo Grelle
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, University of Rome
“La Sapienza” via Eudossiana 18, 00184, Rome, Italy
Laura Bonito
Department of Sciences and Technologies, University of Sannio, via Dei
Mulini 59/A, 82100, Benevento, Italy
Alessandro Lampasi
ENEA Frascati Research Center, Via Enrico Fermi 45, 00044 Frascati, Rome, Italy
Paola Revellino
Department of Sciences and Technologies, University of Sannio, via Dei
Mulini 59/A, 82100, Benevento, Italy
Luigi Guerriero
Department of Sciences and Technologies, University of Sannio, via Dei
Mulini 59/A, 82100, Benevento, Italy
Giuseppe Sappa
Department of Civil and Environmental Engineering, University of Rome
“La Sapienza” via Eudossiana 18, 00184, Rome, Italy
Francesco Maria Guadagno
Department of Sciences and Technologies, University of Sannio, via Dei
Mulini 59/A, 82100, Benevento, Italy
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Cited
8 citations as recorded by crossref.
- Susceptibility to Seismic Amplification and Earthquake Probability Estimation Using Recurrent Neural Network (RNN) Model in Odisha, India R. Jena et al. 10.3390/app10155355
- Seismic hazard prediction using multispectral amplification maps in a complex topographic area: A case study of Qiaozhuang town, Sichuan Province, Southwest China Y. Luo et al. 10.1007/s11629-021-6837-9
- A Computer-Aided Algorithm Combined with an Integrated Downhole Method to Improve Shear Wave Detection and Damping Ratio Assessment: Theory and Preliminary Results G. Grelle 10.3390/app13106080
- A reliable computerized litho-morphometric model for development of 3D maps of Topographic Aggravation Factor (TAF): the cases of East Mountain (Utah, USA) and Port au Prince (Haiti) G. Grelle et al. 10.1007/s10518-017-0272-x
- New approaches to modelling of local seismic amplification susceptibility using direct characteristics of influencing criteria: case study of Bam City, Iran R. Hassanzadeh et al. 10.5194/nhess-19-1989-2019
- SHAKER: A selector of consistent and energetically equalized natural ground motions using the Italian earthquake database G. Grelle et al. 10.1016/j.enggeo.2023.107046
- Seismic site effects in the Red Zone of Amatrice hill detected via the mutual sustainment of experimental and computational approaches G. Grelle et al. 10.1007/s10518-019-00777-z
- Topographic effects observed at Amatrice hill during the 2016–2017 Central Italy seismic sequence G. Grelle et al. 10.1007/s11803-021-2005-z
8 citations as recorded by crossref.
- Susceptibility to Seismic Amplification and Earthquake Probability Estimation Using Recurrent Neural Network (RNN) Model in Odisha, India R. Jena et al. 10.3390/app10155355
- Seismic hazard prediction using multispectral amplification maps in a complex topographic area: A case study of Qiaozhuang town, Sichuan Province, Southwest China Y. Luo et al. 10.1007/s11629-021-6837-9
- A Computer-Aided Algorithm Combined with an Integrated Downhole Method to Improve Shear Wave Detection and Damping Ratio Assessment: Theory and Preliminary Results G. Grelle 10.3390/app13106080
- A reliable computerized litho-morphometric model for development of 3D maps of Topographic Aggravation Factor (TAF): the cases of East Mountain (Utah, USA) and Port au Prince (Haiti) G. Grelle et al. 10.1007/s10518-017-0272-x
- New approaches to modelling of local seismic amplification susceptibility using direct characteristics of influencing criteria: case study of Bam City, Iran R. Hassanzadeh et al. 10.5194/nhess-19-1989-2019
- SHAKER: A selector of consistent and energetically equalized natural ground motions using the Italian earthquake database G. Grelle et al. 10.1016/j.enggeo.2023.107046
- Seismic site effects in the Red Zone of Amatrice hill detected via the mutual sustainment of experimental and computational approaches G. Grelle et al. 10.1007/s10518-019-00777-z
- Topographic effects observed at Amatrice hill during the 2016–2017 Central Italy seismic sequence G. Grelle et al. 10.1007/s11803-021-2005-z
Latest update: 20 Apr 2024
Short summary
SiSeRHMap is a computer methodology for the mapped simulation of site seismic response (SSR) by means of a hybrid model. It combines physically based methods and adaptive and predictive numerical models that are solved in a layering GIS-geometric model. SiSeRHMap develops sets of different multispectral maps of site seismic response and other relating them, taking into account topography effects. Easy to use, SiSeRHMap seems to assure accuracy and robustness in the prediction performances.
SiSeRHMap is a computer methodology for the mapped simulation of site seismic response (SSR) by...
