Geological hazard susceptibility evaluation based on improved information model: A case study of the G219 National Highway in Zayu County, Xizang

CAO Suao; GUO Zhen; CHEN Jiale

doi:10.12097/gbc.2023.10.024

2025 Vol. 44, No. 1

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Article navigation > Geological Bulletin of China > 2025 > 44(1): 185-200

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CAO Suao, GUO Zhen, CHEN Jiale. 2025. Geological hazard susceptibility evaluation based on improved information model: A case study of the G219 National Highway in Zayu County, Xizang. Geological Bulletin of China, 44(1): 185-200. doi: 10.12097/gbc.2023.10.024

Citation:

CAO Suao, GUO Zhen, CHEN Jiale. 2025. Geological hazard susceptibility evaluation based on improved information model: A case study of the G219 National Highway in Zayu County, Xizang. Geological Bulletin of China, 44(1): 185-200. doi: 10.12097/gbc.2023.10.024

Geological hazard susceptibility evaluation based on improved information model: A case study of the G219 National Highway in Zayu County, Xizang

1.
Henan Institute of Geology, Zhengzhou 450001, Henan, China
2.
Henan Province Urban Geological and Engineering Technology Research Center, Zhengzhou 450001, Henan, China
3.
China University of Geosciences (Wuhan), Wuhan 430074, Hubei, China

More Information

Corresponding author: GUO Zhen, 392494222@qq.com

Received Date: 19 October 2023

Revised Date: 10 March 2024

Publish Date: 15 January 2025

Abstract

Abstract

Objective
Due to the impact of highway construction, geological hazards along roadways occur frequently. The susceptibility evaluation of geological hazards along roadways is a key issue in emergency response and rescue. The evaluation results can provide a scientific basis for disaster prevention and emergency decision-making, helping to mitigate potential losses caused by such hazards.
Methods
Along the G219 Highway in Zayu County, 85 geological disaster sites were identified (including 9 landslides, 31 collapses, and 45 debris flows). Based on the developmental characteristics of geological disasters, 11 influencing factors were selected as evaluation indicators: drainage density, road density, peak ground acceleration, seismic response spectrum characteristics, rock groups, geomorphology, DEM, plan curvature, profile curvature, aspect, and slope. A modified information value model combining geological disaster kernel density analysis with the information value method was developed. GIS technology was applied to evaluate the susceptibility of geological disasters in the study area.
Results
The results show that the susceptibility evaluation based on the modified information value model aligns closely with the actual distribution of geological disasters. The model demonstrated high predictive accuracy, with an AUC value of 0.836, indicating its significant capability in assessing geological disaster susceptibility.
Conclusions
The modified information value model provides superior evaluation accuracy and offers reliable scientific support for urban planning, construction, and geological disaster risk management in Zayu County and surrounding areas.
- improved information model /
- geological hazard /
- susceptibility evaluation /
- Zayu County, Xizang /
- evaluation index factor /
- ROC curve

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References

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