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Article

Risk Assessment of Geological Hazards Based on Multi-Condition Development Scenarios: A Case Study of Huangshi Town, Guangdong Province

1
School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430205, China
2
Technology Innovation Center for Geo-Hazard Monitoring and Risk Early Warning, Ministry of Natural Resources, Beijing 100081, China
3
Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(10), 5298; https://doi.org/10.3390/app15105298
Submission received: 26 March 2025 / Revised: 5 May 2025 / Accepted: 6 May 2025 / Published: 9 May 2025
(This article belongs to the Special Issue Novel Technology in Landslide Monitoring and Risk Assessment)

Abstract

This study focuses on Huangshi Town, Longchuan County, Guangdong Province, as the research area. By utilizing existing data and field surveys, the study identifies geological hazards and risks in the area, deeply analyzes the formation mechanisms and disaster-causing patterns, and systematically summarizes the developmental characteristics and spatial distribution of these hazards. Methodologically, the research combines regular grids and slope units, selecting ten evaluation factors for correlation analysis. The information theory model is used to assess disaster susceptibility. The study further evaluates the impact of three rainfall scenarios—100 mm of rainfall over 24 h, 250 mm of rainfall over 24 h, and 240 mm of effective rainfall over 72 h—on geological disasters in Huangshi Town. As a result, a comprehensive hazard assessment under multiple rainfall scenarios is produced. The findings show that the Receiver Operating Characteristic (ROC) accuracy of the disaster-susceptibility evaluation reaches 0.8739, ensuring high data quality for the geological hazard assessment in Huangshi Town. The zoning results align closely with field survey observations. In conclusion, incorporating rainfall as a triggering factor enhances the accuracy of the susceptibility analysis by better capturing the temporal and spatial patterns of landslide occurrences, thereby offering a more comprehensive understanding of the geological hazard development in the study area.
Keywords: landslide prediction; risk assessment; rainfall conditions; information theoretic model; inducing factors landslide prediction; risk assessment; rainfall conditions; information theoretic model; inducing factors

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MDPI and ACS Style

Duan, G.; Xia, H.; Du, A.; Ma, J. Risk Assessment of Geological Hazards Based on Multi-Condition Development Scenarios: A Case Study of Huangshi Town, Guangdong Province. Appl. Sci. 2025, 15, 5298. https://doi.org/10.3390/app15105298

AMA Style

Duan G, Xia H, Du A, Ma J. Risk Assessment of Geological Hazards Based on Multi-Condition Development Scenarios: A Case Study of Huangshi Town, Guangdong Province. Applied Sciences. 2025; 15(10):5298. https://doi.org/10.3390/app15105298

Chicago/Turabian Style

Duan, Gonghao, Hui Xia, Anqi Du, and Juan Ma. 2025. "Risk Assessment of Geological Hazards Based on Multi-Condition Development Scenarios: A Case Study of Huangshi Town, Guangdong Province" Applied Sciences 15, no. 10: 5298. https://doi.org/10.3390/app15105298

APA Style

Duan, G., Xia, H., Du, A., & Ma, J. (2025). Risk Assessment of Geological Hazards Based on Multi-Condition Development Scenarios: A Case Study of Huangshi Town, Guangdong Province. Applied Sciences, 15(10), 5298. https://doi.org/10.3390/app15105298

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