中国东北和朝鲜半岛地区地壳Lg波宽频带衰减模型

Translated title of the contribution: A broadband crustal Lg wave attenuation model in Northeast China and the Korean Peninsula
  • Lianfeng Zhao
  • , Xiaobi Xie
  • , Weimin Wang
  • , Zhenxing Yao

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Lg wave propagation characteristics are investigated in Northeast China and the Korean Peninsula based on seismograms from 113 crustal earthquakes that were recorded at 602 regional stations distributed throughout eastern China, South Korea, and southern Japan. Based on 22,551 vertical-component waveforms, we calculate the amplitude spectra of the Lg waves, extract the single-station, two-station, and two-event data, and construct a broadband Lg attenuation model between 0.05 and 10.0 Hz in Northeast China and the Korean Peninsula by using a joint tomographic method to simultaneously obtain Q, source function, and site response. Results show that the sedimentary basin areas are characterized by relatively strong Lg attenuation, whereas the volcanic mountains such as Da Hinggan Ling and Changbai mountains attenuate the Lg waves weakly. The strongest Lg attenuation regions are areas covered by sea water including Bohai Sea, Yellow Sea and Japan Sea. A thinner crust within a typical oceanic lithosphere for the Japan Sea blocks the Lg wave propagation, resulting in no signals can be observed across oceanic path from small earthquakes. We collect observations from large earthquakes with magnitude around mb 6.0 to obtain strong Lg attenuation within the crust of Japan Sea.

Translated title of the contributionA broadband crustal Lg wave attenuation model in Northeast China and the Korean Peninsula
Original languageChinese (Traditional)
Pages (from-to)856-871
Number of pages16
JournalActa Geophysica Sinica
Volume61
Issue number3
DOIs
StatePublished - 1 Mar 2018

Fingerprint

Dive into the research topics of 'A broadband crustal Lg wave attenuation model in Northeast China and the Korean Peninsula'. Together they form a unique fingerprint.

Cite this