Induced Earthquake Hazard by Geothermal Power Plants: Statistical Evaluation and Probabilistic Modeling

Ali Khansefid; Seyed Mahmoudreza Yadollahi; Gerhard M&#252;ller; Francesca Taddei

doi:10.1007/s13753-022-00441-2

Volume 13 Issue 5

Oct. 2022

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Ali Khansefid, Seyed Mahmoudreza Yadollahi, Gerhard Müller, Francesca Taddei. Induced Earthquake Hazard by Geothermal Power Plants: Statistical Evaluation and Probabilistic Modeling[J]. International Journal of Disaster Risk Science, 2022, 13(5): 758-777. doi: 10.1007/s13753-022-00441-2

Citation:

Ali Khansefid, Seyed Mahmoudreza Yadollahi, Gerhard Müller, Francesca Taddei. Induced Earthquake Hazard by Geothermal Power Plants: Statistical Evaluation and Probabilistic Modeling[J]. International Journal of Disaster Risk Science, 2022, 13(5): 758-777. doi: 10.1007/s13753-022-00441-2

Citation:

Ali Khansefid, Seyed Mahmoudreza Yadollahi, Gerhard Müller, Francesca Taddei. Induced Earthquake Hazard by Geothermal Power Plants: Statistical Evaluation and Probabilistic Modeling[J]. International Journal of Disaster Risk Science, 2022, 13(5): 758-777. doi: 10.1007/s13753-022-00441-2

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Induced Earthquake Hazard by Geothermal Power Plants: Statistical Evaluation and Probabilistic Modeling

doi: 10.1007/s13753-022-00441-2

1. Civil Engineering Department, Technical University of Munich, 80333, Munich, Germany;
2. Civil Engineering Department, KN Toosi University of Technology, Tehran, 1996715433, Iran;
3. Glenn Department of Civil Engineering, Clemson University, Clemson, SC, 29634, USA

Funds:

The authors express their sincere gratitude to the TUM Talent Factory division of the Technical University of Mü

nchen for its support by providing a TUM University Foundation Fellowship for Dr. Ali Khansefid.

Available Online: 2022-11-01

Abstract

Abstract

This study statistically evaluated the characteristics of induced earthquakes by geothermal power plants (GPPs) and generated a probabilistic model for simulating stochastic seismic events. Four well-known power plant zones were selected worldwide from the United States, Germany, France, and New Zealand. The operational condition information, as well as the corresponding earthquake catalogs recorded in the vicinity of GPPs, were gathered from their commencement date. The statistical properties of events were studied elaborately. By using this proposed database, a probabilistic model was developed capable of generating the number of induced seismic events per month, their magnitude, focal depth, and distance from the epicenter to the power plant, randomly. All of these parameters are simulated as a function of power plant injection rate. Generally speaking, the model, introduced in this study, is a tool for engineers and scientists interested in the seismic risk assessment of built environments prone to induced seismicity produced by GPPs operation.
- Geothermal power plants,
- Induced seismicity,
- Probabilistic modeling,
- Seismic hazard,
- Statistical analysis

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References(59)

References

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