Home Journals Articles Updates About
CN
image
收藏切换
Research on earthquake early warning and emergency response for high-speed railways based on the PLUM principle
收藏切换
PDF
Kun Gu, Lin Yang, Datian Zhou, Nan Xi, Zhongwei Tan
Railway Sciences | 2025, 4(5) : 666 - 681
Less
收藏切换
Railway Sciences | 2025, 4(5): 666-681
• Research article •
Research on earthquake early warning and emergency response for high-speed railways based on the PLUM principle
Full
Kun Gu, Lin Yang, Datian Zhou, Nan Xi, Zhongwei Tan
Affiliations
  • China Academy of Railway Sciences Corporation Limited, Beijing, China
  • School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China
  • China Earthquake Networks Center, Beijing, China
  • School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China

    • Datian Zhou received his Ph. D. degree in Traffic Information Engineering and Control from Beijing Jiaotong University. He was a visiting scholar in Ecole Centale de Paris in 2015. His research interests include analyzing algorithm intensive critical system, such as Earthquake Early Warning Algorithm. He has been involved in several projects of Center of National Railway Intelligent Transportation System Engineering and Technology.

Published: 2025-10-10 doi: 10.1108/RS-08-2025-0027
Outline
收藏切换
Purpose

This study aims to design and validate an emergency response method for high-speed railway earthquake early warning (EEW) systems based on the Propagation of Local Undamped Motion (PLUM) principle in order to enhance the timeliness and accuracy of warnings under seismic threats.

Design/methodology/approach

A hierarchical architecture of the railway EEW system was adopted, in which self-built stations along the railway serve as the backbone and the national seismic network provides supplementary data. Warning zones were designed along the railway using overlapping trapezoidal layouts to cover seismic stations and reduce inter-regional time delays. Offline replay experiments were conducted using 82 historical earthquake events and records from 61 seismic stations to evaluate the timeliness and accuracy of warning information.

Findings

The results indicate that the PLUM-based early warning method can issue emergency response information before destructive seismic waves arrive. Multiple earthquake experiments demonstrated high reliability and stability, with effective detection across different magnitudes and epicentral distances. Furthermore, the trapezoidal overlapping zone design improved regional consistency and significantly reduced missed alerts.

Originality/value

This work represents the first systematic application of the PLUM method to high-speed railway EEW in China. By integrating railway operational requirements, the proposed method provides a practical and robust emergency response strategy, offering new insights into seismic risk mitigation for China's high-speed railways.

High-speed railway safety  /  Earthquake early warning  /  PLUM method  /  Double-trapezoid warning zone  /  Simulation validation  /  Emergency response
Kun Gu, Lin Yang, Datian Zhou, Nan Xi, Zhongwei Tan. Research on earthquake early warning and emergency response for high-speed railways based on the PLUM principle[J]. Railway Sciences, 2025 , 4 (5) : 666 -681 . DOI: 10.1108/RS-08-2025-0027
Full Text
Less
Funding
Less
  • National Key Project supported by China State Railway Group(K2024G008)
  • Sichuan Science and Technology Major Program(2023ZDZX0010)
  • Foundation of China State Railway Group Company Limited(Q2024G018)
  • Center of National Sciences Railway Intelligent Transportation System Engineering and Technology(RITS2024KF06)
  • Foundation of China Academy of Railway Sciences Corporation Limited(2024YJ311; 2024YJ178)
Appendix
Less
Year 2025 volume 4 Issue 5
PDF
2
1
Cite this Article
BibTeX
Article Info
doi: 10.1108/RS-08-2025-0027
  • Receive Date：2025-08-20
  • Online Date：2026-06-11
  • Published：2025-10-10
Article Data
Affiliations
History
  • Received：2025-08-20
  • Revised：2025-09-17
  • Accepted：2025-09-18
Funding
National Key Project supported by China State Railway Group(K2024G008)
Sichuan Science and Technology Major Program(2023ZDZX0010)
Foundation of China State Railway Group Company Limited(Q2024G018)
Center of National Sciences Railway Intelligent Transportation System Engineering and Technology(RITS2024KF06)
Foundation of China Academy of Railway Sciences Corporation Limited(2024YJ311; 2024YJ178)
Affiliations
    China Academy of Railway Sciences Corporation Limited, Beijing, China
    School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China
    China Earthquake Networks Center, Beijing, China
    School of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China

Corresponding:

Datian Zhou can be contacted at:
References
Share
https://castjournals.cast.org.cn/joweb/rs/EN/10.1108/RS-08-2025-0027
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House