期刊
INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
卷 13, 期 5, 页码 758-777出版社
SPRINGER
DOI: 10.1007/s13753-022-00441-2
关键词
Geothermal power plants; Induced seismicity; Probabilistic modeling; Seismic hazard; Statistical analysis
资金
- TUM Talent Factory division of the Technical University of Munchen
This study statistically evaluated induced earthquakes by geothermal power plants and developed a probabilistic model for simulating stochastic seismic events. The model provides a tool for assessing seismic risk in built environments prone to induced seismicity caused by geothermal power plant operation, which is valuable for engineers and scientists.
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据