Advancing earthquake science worldwide
11 June 2019–New mechanical modeling of a network of active strike-slip faults in California’s Imperial Valley suggests the faults are continuously linked, from the southern San Andreas Fault through the Imperial Fault to the Cerro Prieto fault further to the south of the valley. Although more studies are needed to … Continue Reading »
[Read in English] 据地震研究快报(Seismological Research Letters, SRL)发表的一项最新研究 表明，去年 12 月和今年 1 月在中国四川省南部发生的两次中等强度地震 可能是由附近的水力压裂作业诱发的。 在 2018 年 12 月发生的 5.7 级和 2019 年 1 月发生的 5.3 级地震对四川盆地 南部地区的农家和其他建筑㐀成了严重破坏。尤其是 12 月份的地震，㐀 成 17 人受伤，导致直接经济损失约 5000 万人民币（约 750 万美元）。 位于四川盆地南部的长宁页岩气示范区块，自 2010 年启动评估性质的水 力压裂作业，并于 2014 年开始工厂化水平压裂。与此同时，该区地震频 度出现急剧上升趋势。 在美国，科学家们普遍认为石油和天然气产业的废水回注（油气提取过程 中伴生的水被注入深部岩层）是该区特别是俄克拉荷马州诱发地震的主要 原因。然而，越来越多的证据表明，在油气开采过程中通过高压注入水来 破碎岩层的水力压裂可能在俄亥俄州，俄克拉荷马州和加拿大西部的某些 地区诱发了中等规模的地震。 日本地质调查所 Xinglin … Continue Reading »
[讀中文] 5 April 2019–Two moderate-sized earthquakes that struck the southern Sichuan Province of China last December and January were probably caused by nearby fracking operations, according to a new study published in Seismological Research Letters. The December 2018 magnitude 5.7 and the January 2019 magnitude 5.3 earthquakes in the South … Continue Reading »
3 April 2019–There have been no major ground rupturing earthquakes along California’s three highest slip rate faults in the past 100 years. A new study published in Seismological Research Letters concludes that this current “hiatus” has no precedent in the past 1000 years. U.S. Geological Survey researchers Glenn Biasi and … Continue Reading »
26 March 2019–A new high-resolution map of a poorly known section of the northern San Andreas Fault reveals signs of the 1906 San Francisco earthquake, and may hold some clues as to how the fault could rupture in the future, according to a new study published in the Bulletin of … Continue Reading »
1 March 2019–With a growing wealth of seismic data and computing power at their disposal, seismologists are increasingly turning to a discipline called machine learning to better understand and predict complicated patterns in earthquake activity. In a focus section published in the journal Seismological Research Letters, researchers describe how they … Continue Reading »