Articles | Volume 14, issue 6
https://doi.org/10.5194/nhess-14-1625-2014
© Author(s) 2014. 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-14-1625-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Jun 2014
Research article |
| 27 Jun 2014
Uncertainty and sensitivity analyses in seismic risk assessments on the example of Cologne, Germany
S. Tyagunov
Helmholtz Centre Potsdam, German Research Centre for Geosciences (GFZ), Potsdam, Germany
M. Pittore
Helmholtz Centre Potsdam, German Research Centre for Geosciences (GFZ), Potsdam, Germany
M. Wieland
Helmholtz Centre Potsdam, German Research Centre for Geosciences (GFZ), Potsdam, Germany
S. Parolai
Helmholtz Centre Potsdam, German Research Centre for Geosciences (GFZ), Potsdam, Germany
Helmholtz Centre Potsdam, German Research Centre for Geosciences (GFZ), Potsdam, Germany
K. Fleming
Helmholtz Centre Potsdam, German Research Centre for Geosciences (GFZ), Potsdam, Germany
J. Zschau
Helmholtz Centre Potsdam, German Research Centre for Geosciences (GFZ), Potsdam, Germany
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Cited
19 citations as recorded by crossref.
- Modeling of damage-related earthquake losses in a moderate seismic-prone country and cost–benefit evaluation of retrofit investments: application to France I. Riedel & P. Guéguen 10.1007/s11069-017-3061-6
- A GIS-based decision making model using fuzzy sets and theory of evidence for seismic vulnerability assessment under uncertainty (case study: Tabriz) M. Sadrykia et al. 10.3233/JIFS-17075
- Seismic Risk of Infrastructure Systems with Treatment of and Sensitivity to Epistemic Uncertainty F. Cavalieri & P. Franchin 10.3390/infrastructures5110103
- Studying the uncertainties in the seismic risk assessment at urban scale applying the Capacity Spectrum Method: The case of Thessaloniki E. Riga et al. 10.1016/j.soildyn.2016.09.043
- A GIS-BASED MULTI-CRITERIA EVALUATION FRAMEWORK FOR UNCERTAINTY REDUCTION IN EARTHQUAKE DISASTER MANAGEMENT USING GRANULAR COMPUTING F. Khamespanah et al. 10.3846/20296991.2016.1199139
- Evaluating the impact of parametric pushover curve model uncertainties on seismic loss estimation for a specific building stock in Slovenia N. Fazarinc & M. Dolšek 10.1016/j.engstruct.2023.117362
- Crisis Communication after Earthquakes in Greece and Japan: Effects on Seismic Disaster Management A. Fokaefs & K. Sapountzaki 10.3390/su13169257
- Variance‐based sensitivity analyses and uncertainty quantification for FEMA P‐58 consequence predictions G. Cremen & J. Baker 10.1002/eqe.3370
- Rapid seismic risk assessment T. Kalman Šipoš & M. Hadzima-Nyarko 10.1016/j.ijdrr.2017.06.025
- Examining associations between citizens' beliefs and attitudes about uncertainty and their earthquake risk judgments, preparedness intentions, and mitigation policy support in Japan and the United States B. Johnson & K. Nakayachi 10.1016/j.ijdrr.2017.02.019
- Time-dependent seismic performance assessment of RC buildings exposed to corrosion H. Colak & S. Soyoz 10.1016/j.istruc.2022.11.117
- Uncertainties in Seismic Risk Assessment at Urban Scale. The Case of Thessaloniki, Greece E. Riga et al. 10.1016/j.proenv.2017.03.090
- Spatial seismic hazard variation and adaptive sampling of portfolio location uncertainty in probabilistic seismic risk analysis C. Scheingraber & M. Käser 10.5194/nhess-20-1903-2020
- A building imagery database for the calibration of machine learning algorithms V. Silva et al. 10.1177/87552930241229103
- Conventional RVS Methods for Seismic Risk Assessment for Estimating the Current Situation of Existing Buildings: A State-of-the-Art Review N. Bektaş & O. Kegyes-Brassai 10.3390/su14052583
- Synopse der Naturgefahren für Köln J. Schwarz & H. Maiwald 10.1002/bate.201900088
- Improved Vulnerability Index Methodology to Quantify Seismic Risk and Loss Assessment in Reinforced Concrete Buildings M. Kassem et al. 10.1080/13632469.2021.1911888
- Performance Evaluation of Machine Learning Algorithms for Urban Pattern Recognition from Multi-spectral Satellite Images M. Wieland & M. Pittore 10.3390/rs6042912
- Pan-European seismic risk assessment: a proof of concept using the Earthquake Loss Estimation Routine (ELER) C. Corbane et al. 10.1007/s10518-016-9993-5
17 citations as recorded by crossref.
- Modeling of damage-related earthquake losses in a moderate seismic-prone country and cost–benefit evaluation of retrofit investments: application to France I. Riedel & P. Guéguen 10.1007/s11069-017-3061-6
- A GIS-based decision making model using fuzzy sets and theory of evidence for seismic vulnerability assessment under uncertainty (case study: Tabriz) M. Sadrykia et al. 10.3233/JIFS-17075
- Seismic Risk of Infrastructure Systems with Treatment of and Sensitivity to Epistemic Uncertainty F. Cavalieri & P. Franchin 10.3390/infrastructures5110103
- Studying the uncertainties in the seismic risk assessment at urban scale applying the Capacity Spectrum Method: The case of Thessaloniki E. Riga et al. 10.1016/j.soildyn.2016.09.043
- A GIS-BASED MULTI-CRITERIA EVALUATION FRAMEWORK FOR UNCERTAINTY REDUCTION IN EARTHQUAKE DISASTER MANAGEMENT USING GRANULAR COMPUTING F. Khamespanah et al. 10.3846/20296991.2016.1199139
- Evaluating the impact of parametric pushover curve model uncertainties on seismic loss estimation for a specific building stock in Slovenia N. Fazarinc & M. Dolšek 10.1016/j.engstruct.2023.117362
- Crisis Communication after Earthquakes in Greece and Japan: Effects on Seismic Disaster Management A. Fokaefs & K. Sapountzaki 10.3390/su13169257
- Variance‐based sensitivity analyses and uncertainty quantification for FEMA P‐58 consequence predictions G. Cremen & J. Baker 10.1002/eqe.3370
- Rapid seismic risk assessment T. Kalman Šipoš & M. Hadzima-Nyarko 10.1016/j.ijdrr.2017.06.025
- Examining associations between citizens' beliefs and attitudes about uncertainty and their earthquake risk judgments, preparedness intentions, and mitigation policy support in Japan and the United States B. Johnson & K. Nakayachi 10.1016/j.ijdrr.2017.02.019
- Time-dependent seismic performance assessment of RC buildings exposed to corrosion H. Colak & S. Soyoz 10.1016/j.istruc.2022.11.117
- Uncertainties in Seismic Risk Assessment at Urban Scale. The Case of Thessaloniki, Greece E. Riga et al. 10.1016/j.proenv.2017.03.090
- Spatial seismic hazard variation and adaptive sampling of portfolio location uncertainty in probabilistic seismic risk analysis C. Scheingraber & M. Käser 10.5194/nhess-20-1903-2020
- A building imagery database for the calibration of machine learning algorithms V. Silva et al. 10.1177/87552930241229103
- Conventional RVS Methods for Seismic Risk Assessment for Estimating the Current Situation of Existing Buildings: A State-of-the-Art Review N. Bektaş & O. Kegyes-Brassai 10.3390/su14052583
- Synopse der Naturgefahren für Köln J. Schwarz & H. Maiwald 10.1002/bate.201900088
- Improved Vulnerability Index Methodology to Quantify Seismic Risk and Loss Assessment in Reinforced Concrete Buildings M. Kassem et al. 10.1080/13632469.2021.1911888
2 citations as recorded by crossref.
- Performance Evaluation of Machine Learning Algorithms for Urban Pattern Recognition from Multi-spectral Satellite Images M. Wieland & M. Pittore 10.3390/rs6042912
- Pan-European seismic risk assessment: a proof of concept using the Earthquake Loss Estimation Routine (ELER) C. Corbane et al. 10.1007/s10518-016-9993-5
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