Real-time earthquake monitoring using a search engine method

被引:39
|
作者
Zhang, Jie [1 ]
Zhang, Haijiang [1 ]
Chen, Enhong [2 ]
Zheng, Yi [2 ]
Kuang, Wenhuan [1 ]
Zhang, Xiong [1 ]
机构
[1] Univ Sci & Technol China, Sch Earth & Space Sci, Lab Seismol & Phys Earths Interior, Hefei 230026, Anhui, Peoples R China
[2] Univ Sci & Technol China, Sch Comp Sci & Technol, Hefei 230027, Anhui, Peoples R China
基金
美国国家科学基金会;
关键词
MOMENT TENSORS;
D O I
10.1038/ncomms6664
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
When an earthquake occurs, seismologists want to use recorded seismograms to infer its location, magnitude and source-focal mechanism as quickly as possible. If such information could be determined immediately, timely evacuations and emergency actions could be undertaken to mitigate earthquake damage. Current advanced methods can report the initial location and magnitude of an earthquake within a few seconds, but estimating the source-focal mechanism may require minutes to hours. Here we present an earthquake search engine, similar to a web search engine, that we developed by applying a computer fast search method to a large seismogram database to find waveforms that best fit the input data. Our method is several thousand times faster than an exact search. For an M-w 5.9 earthquake on 8 March 2012 in Xinjiang, China, the search engine can infer the earthquake's parameters in <1 s after receiving the long-period surface wave data.
引用
收藏
页数:9
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