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This is Scientific American's 60-second Science, I'm Christopher Intagliata.
Humans are a really noisy species: hammering and digging, flying and driving, delivering heavy cargo all over the world.
And that activity creates seismic noise, which masks delicate signals from faraway small earthquakes.
Raphael De Plaen, a seismologist at the National Autonomous University of Mexico,
compares listening for small earthquakes during normal times to sitting at a wedding, at a table far away from the band.
You can't really make out the music, because there are so many people laughing and talking in between you and the loudspeakers.
"And so now the lockdown is like coming during the rehearsal―no one is talking.
So even though you're far away, the speakers are loud enough for you to listen to all the songs and clearly identify them."
De Plaen says he and his colleagues have been able to detect “songs”― in this case, seismic signals―they didn't even know existed.
And now that they've identified those signals, they'll be able to look back at decades of data
and use these newly discovered seismic fingerprints to better identify small earthquakes like this in the past.
The study, co-authored by more than 70 seismologists from around the world, appears in the journal Science.
In addition to unmasking new seismic phenomena,
the study also demonstrates how seismic data could be used to track human activity and movement―like traffic in a certain region, for example―
and all without the privacy concerns that go along with cell-phone tracking.
这里是科学美国人――60秒科学系列,我是克里斯托弗・因塔格里塔。
人类是非常吵闹的物种:锤打和挖掘、飞行和驾驶,在世界各地运送沉重货物。
所有这些活动产生出地震噪音,掩盖了无主小型地震的微弱信号。
墨西哥国立自治大学的地震学家拉斐尔・德普拉恩,
将平时探听小型地震比喻成在婚礼上坐在远离乐队的桌子旁。
你真的没法听清音乐,因为你和扩音器之间有太多人在大笑或交谈。
“因此,现在的封锁就像在彩排中叫停――没有人说话。
即使你离得很远,但扩音器的声音足够大,能你听到所有歌声并清晰地分辨出来。”
德普拉恩表示,他和同事已经能探测到他们甚至都不知道的“歌声”――在此指的是地震信号。
既然他们已识别出这些信号,他们将能够回顾几十年来的数据,
并利用这些新发现的地震指纹更好地识别以前发生的这类小型地震。
这项由全球70多名地震学家合作著成的研究发表在《科学》期刊上。
除了揭开新地震现象外,
研究还演示了如何利用地震数据追踪人类活动和移动,比如某个地区的交通模式,
这一切都不涉及手机追踪引发的隐私问题。
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