Complexity and Statistical Physics Approaches to Earthquakes
Due to the increase in population worldwide, there is an urgent need to estimate natural hazards more efficiently. A crucial aspect of this challenging task is the mitigation of the risk of earthquakes. The occurrence of earthquakes is an inherently complex phenomenon that is manifested in the nonli...
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| 格式: | Online |
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| 語言: | 英语 |
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MDPI - Multidisciplinary Digital Publishing Institute
2024
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| 在線閱讀: | ONIX_20240514_9783725802050_145 |
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| _version_ | 1869519144729182208 |
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| collection | Directory of Open Access Books |
| description | Due to the increase in population worldwide, there is an urgent need to estimate natural hazards more efficiently. A crucial aspect of this challenging task is the mitigation of the risk of earthquakes. The occurrence of earthquakes is an inherently complex phenomenon that is manifested in the nonlinear dynamics that form the process of earthquake generation. Earthquakes interact over a wide range of spatial and temporal scales to generate new events; meanwhile, the coupling of stress interactions with other aseismic processes, such as fluid flow, poroelastic effects, and aseismic slip, may further reduce the frictional strength of faults, triggering more earthquakes. As such, earthquakes are considered a critical phenomenon, exhibiting nonlinearity, self-organized criticality, scaling, clustering, fractal/multifractal structures, and long-range interactions. The analysis of earthquake phenomena in the light of complexity theory is thus ubiquitous, and mathematical tools arising from statistical physics offer a consistent theoretical framework with which to better understand the occurrence of earthquakes. With the significant generation of new data in recent years, these modern tools may provide novel and substantial insights into the physics of earthquakes, with the ultimate aim being to mitigate the risk of earthquakes more effectively. |
| format | Online |
| id | doab-20.500.12854ir-137544 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1375442024-05-14T13:27:47Z Complexity and Statistical Physics Approaches to Earthquakes Michas, Georgios earthquake physics complexity statistical physics nonlinear dynamics stochastic models time series analysis earthquake triggering statistical properties fractal/multifractal structures earthquake forecasting thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics Due to the increase in population worldwide, there is an urgent need to estimate natural hazards more efficiently. A crucial aspect of this challenging task is the mitigation of the risk of earthquakes. The occurrence of earthquakes is an inherently complex phenomenon that is manifested in the nonlinear dynamics that form the process of earthquake generation. Earthquakes interact over a wide range of spatial and temporal scales to generate new events; meanwhile, the coupling of stress interactions with other aseismic processes, such as fluid flow, poroelastic effects, and aseismic slip, may further reduce the frictional strength of faults, triggering more earthquakes. As such, earthquakes are considered a critical phenomenon, exhibiting nonlinearity, self-organized criticality, scaling, clustering, fractal/multifractal structures, and long-range interactions. The analysis of earthquake phenomena in the light of complexity theory is thus ubiquitous, and mathematical tools arising from statistical physics offer a consistent theoretical framework with which to better understand the occurrence of earthquakes. With the significant generation of new data in recent years, these modern tools may provide novel and substantial insights into the physics of earthquakes, with the ultimate aim being to mitigate the risk of earthquakes more effectively. 2024-05-14T13:27:42Z 2024-05-14T13:27:42Z 2024 book ONIX_20240514_9783725802050_145 9783725802050 9783725802067 https://directory.doabooks.org/handle/20.500.12854/137544 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8712 https://mdpi.com/books/pdfview/book/8712 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0206-7 10.3390/books978-3-7258-0206-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725802050 9783725802067 182 open access |
| spellingShingle | earthquake physics complexity statistical physics nonlinear dynamics stochastic models time series analysis earthquake triggering statistical properties fractal/multifractal structures earthquake forecasting thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics Complexity and Statistical Physics Approaches to Earthquakes |
| title | Complexity and Statistical Physics Approaches to Earthquakes |
| title_full | Complexity and Statistical Physics Approaches to Earthquakes |
| title_fullStr | Complexity and Statistical Physics Approaches to Earthquakes |
| title_full_unstemmed | Complexity and Statistical Physics Approaches to Earthquakes |
| title_short | Complexity and Statistical Physics Approaches to Earthquakes |
| title_sort | complexity and statistical physics approaches to earthquakes |
| topic | earthquake physics complexity statistical physics nonlinear dynamics stochastic models time series analysis earthquake triggering statistical properties fractal/multifractal structures earthquake forecasting thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| topic_facet | earthquake physics complexity statistical physics nonlinear dynamics stochastic models time series analysis earthquake triggering statistical properties fractal/multifractal structures earthquake forecasting thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| url | ONIX_20240514_9783725802050_145 |