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Seismological observations on the 2019 March 21 accidental explosion at Xiangshui chemical plant in Jiangsu, China

  • Yishan Song
  • , Lian Feng Zhao
  • , Xiao Bi Xie
  • , Xiao Ma
  • , Guilin Du
  • , Xiaofeng Tian
  • , Zhen Xing Yao
  • Chinese Academy of Sciences
  • University of Chinese Academy of Sciences
  • University of California at Santa Cruz
  • Shandong University of Science and Technology
  • Weihai Earthquake Monitoring Center
  • China Earthquake Administration

Research output: Contribution to journalReview articlepeer-review

7 Scopus citations

Abstract

On 2019 March 21, an explosion accidentally occurred at a chemical plant in Xiangshui, Yancheng City, Jiangsu Province, China. Using broad-band digital seismic data from East China, South Korea and Japan, we investigate properties of the Xiangshui explosion as well as two nearby chemical explosions and four nearby natural earthquakes in Jiangsu Province, East China. From Lg and Rayleigh waves recorded by regional networks, both body wave magnitude mb (Lg) and surface wave magnitude Ms (Rayleigh) are calculated for these events. The magnitudes of the Xiangshui explosion are mb (Lg) = 3.39 ± 0.24 and Ms = 1.95 ± 0.27, respectively. Both the empirical magnitude-yield relation for buried explosion and empirical yield-crater dimension relation for open-pit explosion are adopted for investigating the explosive yield. The result from the yield-crater dimension relation is approximately 492 ton, which is consistent with the ground truth and considerably larger than that from the buried source model. This also reveals that, for Xiangshui explosion, the explosion to seismic energy conversion rate is approximately one-third compared to a similar sized fully confined explosion. By comparing the body wave and surface wave magnitudes from explosions and nearby earthquakes, we find that the mb:Ms discriminant calculated at regional distances cannot properly distinguish explosions from natural earthquakes. However, the P/S spectral ratios Pg/Lg, Pn/Lg and Pn/Sn from the same data set can be good discriminants for identifying explosions from earthquakes.

Original languageEnglish
Pages (from-to)538-550
Number of pages13
JournalGeophysical Journal International
Volume228
Issue number1
DOIs
StatePublished - 1 Jan 2022

Keywords

  • Body waves
  • Earthquake monitoring and test-ban treaty verification
  • Earthquake source observations
  • Seismic attenuation
  • Wave propagation

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