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原文連結
論文資訊
- 類型：已發表論文
- 日期：2013
摘要
Aftershock statistics provide a wealth of data that can be used to better understand earthquake physics. Aftershocks satisfy scale-invariant Gutenberg-Richter (GR) frequency-magnitude statistics. They also satisfy Omori's law for power-law seismicity rate decay and BAyenth's law for maximum-magnitude 縮放律. The branching aftershock sequence (BASS) model, which is the scale-invariant limit of the 流行病學c-type aftershock sequence model (ETAS), uses these 縮放律 laws to generate synthetic aftershock sequences. One objective of this paper is to show that the branching process in these models satisfies Tokunaga branching statistics. Tokunaga branching statistics were originally developed for drainage 網絡s and have been subsequently shown to be valid in many other applications associated with complex ph
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