Global S&T Development Trend Analysis Platform of Resources and Environment
Natural Fluid Injections Triggered Cahuilla Earthquake Swarm | |
admin | |
2020-06-18 | |
发布年 | 2020 |
语种 | 英语 |
国家 | 美国 |
领域 | 气候变化 |
正文(英文) | A naturally occurring injection of underground fluids drove a four-year-long earthquake swarm near Cahuilla, California, according to a new seismological study that utilizes advances in earthquake monitoring with a machine-learning algorithm. In contrast to mainshock/aftershock sequences, where a large earthquake is followed by many smaller aftershocks, swarms typically do not have a single standout event. The study, which will be published on June 19 in the journal Science, illustrates an evolving understanding of how fault architecture governs earthquake patterns. "We used to think of faults more in terms of two dimensions: like giant cracks extending into the earth," says Zachary Ross, assistant professor of geophysics and lead author of the Science paper. "What we're learning is that you really need to understand the fault in three dimensions to get a clear picture of why earthquake swarms occur." The Cahuilla swarm, as it is known, is a series of small temblors that occurred between 2016 and 2019 near Mt. San Jacinto in Southern California. To better understand what was causing the shaking, Ross and colleagues from Caltech, the United States Geological Survey (USGS), and the University of Texas at Austin used earthquake-detection algorithms with deep neural networks to produce a highly detailed catalog of more than 22,000 seismic events in the area ranging in magnitude from 0.7 to 4.4. When compiled, the catalog revealed a complex but narrow fault zone, just 50 meters wide with steep curves when viewed in profile. Plotting those curves, Ross says, was crucial to understanding the reason for the years of regular seismic activity. Typically, faults are thought to either act as conduits for or barriers to the flow of underground fluids, depending on their orientation to the direction of the flow. While Ross's research supports that generally, he and his colleagues found that the architecture of the fault created complex conditions for underground fluids flowing within it. The researchers noted the fault zone contained undulating subterranean channels that connected with an underground reservoir of fluid that was initially sealed off from the fault. When that seal broke, fluids were injected into the fault zone and diffused through the channels, triggering earthquakes. This natural injection process was sustained over about four years, the team found. "These observations bring us closer to providing concrete explanations for how and why earthquake swarms start, grow, and terminate," Ross says. Next, the team plans to build off these new insights and characterize the role of this type of process throughout the whole of Southern California.
make a difference: sponsored opportunity
Story Source: Materials provided by California Institute of Technology. Original written by Robert Perkins. Note: Content may be edited for style and length. Journal Reference:
Cite This Page: California Institute of Technology. "Natural fluid injections triggered Cahuilla earthquake swarm." ScienceDaily. ScienceDaily, 18 June 2020.
California Institute of Technology. (2020, June 18). Natural fluid injections triggered Cahuilla earthquake swarm. ScienceDaily. Retrieved June 18, 2020 from www.sciencedaily.com/releases/2020/06/200618150241.htm
California Institute of Technology. "Natural fluid injections triggered Cahuilla earthquake swarm." ScienceDaily. www.sciencedaily.com/releases/2020/06/200618150241.htm (accessed June 18, 2020).
|
URL | 查看原文 |
来源平台 | Science Daily |
文献类型 | 新闻 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/276325 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | admin. Natural Fluid Injections Triggered Cahuilla Earthquake Swarm. 2020. |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
查看访问统计 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[admin]的文章 |
百度学术 |
百度学术中相似的文章 |
[admin]的文章 |
必应学术 |
必应学术中相似的文章 |
[admin]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论