EconPapers    
Economics at your fingertips  
 

Risk evaluation of rockfall hazard in the tunnel portals of western mountain railway tunnels based on the improved G1–EWM–UMT model

Dandan Dang, Li Gong (), Chunling Jin, Jun Qin, Tengteng Yang and Zhiyuan Jia
Additional contact information
Dandan Dang: Lanzhou Jiaotong University
Li Gong: Lanzhou Jiaotong University
Chunling Jin: Lanzhou Jiaotong University
Jun Qin: Lanzhou Jiaotong University
Tengteng Yang: Lanzhou Jiaotong University
Zhiyuan Jia: Gansu Water Resources and Hydropower Survey Design and Research Institute Limited Liability Company

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2025, vol. 121, issue 12, No 19, 14373-14398

Abstract: Abstract To avoid the impact of rockfall on railroad safety, it is crucial to accurately predict the risk level of rockfall hazard in advance for the safe construction, operation, and maintenance of railroads. We take the western mountainous railroad tunnel portals as the research background and construct a western mountainous railroad tunnel portals rockfall hazard risk evaluation index system, including 15 core indexes and 6 alternative indexes. The unascertained measure theory (UMT) is chosen to evaluate the risk of rockfall hazard in tunnel portals. The improved G1 method and entropy weight method (EWM) are introduced to calculate the risk of rockfall hazard based on the confidence level criterion. Furthermore, the criterion is used to recognize the risk level of a rockfall hazard. Ten typical tunnel portals of a railroad in the west are selected to validate engineering examples, and the evaluation results of the improved G1–EWM–UMT model are compared with those of the TOPSIS model [the technique for order preference by similarity to the ideal solution (TOPSIS)] and the actual rockfall situation in the project. The comparison results show that improved G1–EWM–UMT model has 90% accuracy of rockfall risk evaluation results with actual rockfall grade, which is 30% and 20% higher than the accuracy of TOPSIS model and extension cloud model, respectively. This study has certain application value and engineering significance, which provides a theoretical basis and technical reference to design the rockfall protection structure of western mountainous tunnels such as the Sichuan–Tibet railway under similar engineering geological conditions and proves the operability and applicability of the evaluation model.

Keywords: Mountainous areas of western China; Tunnel portals rockfall; Risk evaluation; Improved G1 method; Unconfirmed measure theory (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-025-07359-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:121:y:2025:i:12:d:10.1007_s11069-025-07359-0

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-025-07359-0

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-07-29
Handle: RePEc:spr:nathaz:v:121:y:2025:i:12:d:10.1007_s11069-025-07359-0