Entropy (Feb 2025)

Earthquake Forecasting Based on <i>b</i> Value and Background Seismicity Rate in Yunnan Province, China

  • Yuchen Zhang,
  • Rui Wang,
  • Haixia Shi,
  • Miao Miao,
  • Jiancang Zhuang,
  • Ying Chang,
  • Changsheng Jiang,
  • Lingyuan Meng,
  • Danning Li,
  • Lifang Liu,
  • Youjin Su,
  • Zhenguo Zhang,
  • Peng Han

DOI
https://doi.org/10.3390/e27020205
Journal volume & issue
Vol. 27, no. 2
p. 205

Abstract

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Characterized by frequent earthquakes and a dense population, Yunnan Province, China, faces significant seismic hazards and is a hot place for earthquake forecasting research. In a previous study, we evaluated the performance of the b value for 5-year seismic forecasting during 2000–2019 and made a forward prediction of M ≥ 5.0 earthquakes in 2020–2024. In this study, with the forecast period having passed, we first revisit the results and assess the forward prediction performance. Then, the background seismicity rate, which may also offer valuable long-term forecasting information, is incorporated into earthquake prediction for Yunnan Province. To assess the effectiveness of the prediction, the Molchan Error Diagram (MED), Probability Gain (PG), and Probability Difference (PD) are employed. Using a 25-year catalog, the spatial b value and background seismicity rate across five temporal windows are calculated, and 86 M ≥ 5.0 earthquakes as prediction samples are examined. The predictive performance of the background seismicity rate and b value is comprehensively tested and shown to be useful for 5-year forecasting in Yunnan. The performance of the b value exhibits a positive correlation with the predicted earthquake magnitude. The synergistic effect of combining these two predictors is also revealed. Finally, using the threshold corresponding to the maximum PD, we integrate the forecast information of background seismicity rates and the b value. A forward prediction is derived for the period from January 2025 to December 2029. This study can be helpful for disaster preparedness and risk management in Yunnan Province, China.

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