文章基本信息

标题：Earthquake Nowcasting with Deep Learning
本地全文：下载
作者：Geoffrey Charles Fox ; John B. Rundle ; Andrea Donnellan 等
期刊名称：GeoHazards
电子版ISSN：2624-795X
出版年度：2022
卷号：3
期号：2
页码：199-226
DOI：10.3390/geohazards3020011
语种：English
出版社：MDPI AG
摘要：We review previous approaches to nowcasting earthquakes and introduce new approaches based on deep learning using three distinct models based on recurrent neural networks and transformers. We discuss different choices for observables and measures presenting promising initial results for a region of Southern California from 1950–2020. Earthquake activity is predicted as a function of 0.1-degree spatial bins for time periods varying from two weeks to four years. The overall quality is measured by the Nash Sutcliffe efficiency comparing the deviation of nowcast and observation with the variance over time in each spatial region. The software is available as open source together with the preprocessed data from the USGS.