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Abstract

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.

Details

1009240
Title
Earthquake Forecasting Based on b Value and Background Seismicity Rate in Yunnan Province, China
Author
Zhang, Yuchen 1   VIAFID ORCID Logo  ; Wang, Rui 2   VIAFID ORCID Logo  ; Shi, Haixia 3 ; Miao, Miao 4   VIAFID ORCID Logo  ; Zhuang, Jiancang 5   VIAFID ORCID Logo  ; Chang, Ying 6 ; Jiang, Changsheng 7 ; Meng, Lingyuan 3 ; Li, Danning 8 ; Liu, Lifang 8 ; Su, Youjin 8 ; Zhang, Zhenguo 4   VIAFID ORCID Logo  ; Han, Peng 2   VIAFID ORCID Logo 

 Department of Astronautical Science and Mechanics, Harbin Institute of Technology, Harbin 150001, China; [email protected]; Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen 518055, China; [email protected] (R.W.); [email protected] (M.M.); [email protected] (Z.Z.) 
 Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen 518055, China; [email protected] (R.W.); [email protected] (M.M.); [email protected] (Z.Z.); Key Laboratory of Earthquake Forecasting and Risk Assessment, Ministry of Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China 
 China Earthquake Networks Center, Beijing 100045, China; [email protected] (H.S.); [email protected] (L.M.) 
 Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen 518055, China; [email protected] (R.W.); [email protected] (M.M.); [email protected] (Z.Z.) 
 Institute of Statistical Mathematics, Tokyo 190-8562, Japan; [email protected] 
 BGRIMM Technology Group, Institute of Mining Engineering, Beijing 100160, China; [email protected] 
 Institute of Geophysics, China Earthquake Administration, Beijing 100081, China; [email protected] 
 Earthquake Administration of Yunnan Province, Kunming 650224, China; [email protected] (D.L.); [email protected] (L.L.); [email protected] (Y.S.) 
Publication title
Entropy; Basel
Volume
27
Issue
2
First page
205
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
10994300
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-02-15
Milestone dates
2025-01-13 (Received); 2025-02-13 (Accepted)
Publication history
 
 
   First posting date
15 Feb 2025
ProQuest document ID
3170909759
Document URL
https://www.proquest.com/scholarly-journals/earthquake-forecasting-based-on-i-b-value/docview/3170909759/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-02-25
Database
ProQuest One Academic