论文标题
Richter B-Value地图从当地地震时刻
Richter b-value maps from local moments of seismicity
论文作者
论文摘要
我们开发了一种估计空间变化的地震性模式的技术。它基于基础泊松过程的高斯近似。链路函数用于估计观察到的目录中地震性的局部力矩。这些是由非平稳的高斯田进行建模的。我们基于地震断层的局部分布来构建先验。这使我们能够将地质信息纳入观察到的地震性的贝叶斯倒置。在本文中，我们将我们的销量限制在$ b $值的字段中，我们为此计算后期期望以及不确定性。然而，该技术可以应用于其他与地震相关的参数，例如Omori $ c $和$ p $ - 值。
We develop a technique to estimate spatially varying seismicity patterns. It is based on a Gaussian approximation of the underlying Poisson Process. A link function is used to estimate local moments of the seismicity from observed catalogues. These are modeled by a nonstationary Gaussian field. We construct a prior based on the local distribution of seismic faults. This allows us to incorporate geological information into the Bayesian inversion of the observed seismicity. In this paper we limit ourselve to the $b$-value field for which we compute the posterior expectations as well as the uncertainties. The technique however may be applied to other seismically relevant parameters like Omori $c$ and $p$-values.
