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  2. Global Earthquake Model - Wikipedia

    en.wikipedia.org/wiki/Global_Earthquake_Model

    The Global Earthquake Model (GEM) is a public–private partnership initiated in 2006 by the Global Science Forum of the OECD to develop global, open-source risk assessment software and tools. With committed backing from academia , governments and industry, GEM contributes to achieving profound, lasting reductions in earthquake risk worldwide ...

  3. Earthquake forecasting - Wikipedia

    en.wikipedia.org/wiki/Earthquake_forecasting

    The characteristic earthquake model postulates that earthquakes are generally constrained within these segments. [9] As the lengths and other properties [10] of the segments are fixed, earthquakes that rupture the entire fault should have similar characteristics. These include the maximum magnitude (which is limited by the length of the rupture ...

  4. Earthquake prediction - Wikipedia

    en.wikipedia.org/wiki/Earthquake_prediction

    The most studied earthquake faults (such as the Nankai megathrust, the Wasatch Fault, and the San Andreas Fault) appear to have distinct segments. The characteristic earthquake model postulates that earthquakes are generally constrained within these segments. [130]

  5. Gutenberg–Richter law - Wikipedia

    en.wikipedia.org/wiki/Gutenberg–Richter_law

    That is, many low-magnitude earthquakes are not catalogued because fewer stations detect and record them due to decreasing instrumental signal to noise levels. Some modern models of earthquake dynamics, however, predict a physical roll-off in the earthquake size distribution. [13] The a-value represents the total seismicity rate of the region ...

  6. The Keys to the White House - Wikipedia

    en.wikipedia.org/wiki/The_Keys_to_the_White_House

    The Keys to the White House, also known as the 13 keys, is a prediction system for determining the outcome of presidential elections in the United States.It was developed by American historian Allan Lichtman and Russian geophysicist Vladimir Keilis-Borok in 1981, adapting methods that Keilis-Borok designed for earthquake prediction.

  7. Earthquake engineering - Wikipedia

    en.wikipedia.org/wiki/Earthquake_engineering

    The very first earthquake simulations were performed by statically applying some horizontal inertia forces based on scaled peak ground accelerations to a mathematical model of a building. [18] With the further development of computational technologies, static approaches began to give way to dynamic ones.

  8. Jim Berkland - Wikipedia

    en.wikipedia.org/wiki/Jim_Berkland

    Berkland's predictions have been either self-published in his newsletter or website, or announced in various interviews or speaking engagements. [8] His notoriety arose from an interview published in the Gilroy Dispatch on October 13, 1989, where he predicted that an earthquake with a magnitude between 3.5 and 6.0 would occur in the San Francisco Bay Area between October 14 and October 21. [9]

  9. Earthquake cycle - Wikipedia

    en.wikipedia.org/wiki/Earthquake_Cycle

    More complicated than the spring-slider model, dynamic modeling of fault ruptures based on the constitutive framework (such as the rate-and-state friction law and elastic equations) is widely used in earthquake-cycle analysis. [10]