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Academic Journal of Environment & Earth Science, 2025, 7(3); doi: 10.25236/AJEE.2025.070301.

Comprehensive Geological Hazard Risk Assessment in Southern Tieling Region

Author(s)

Liu Hongtao1, Li Haijun1, Zhang Yaowen2, Dong Jiubo1, Pang Yixin1

Corresponding Author:
Li Haijun
Affiliation(s)

1School of Emergency Technology and Management, Institute of Disaster Prevention, Langfang, China

2School of Environment and Disaster Prevention, Institute of Disaster Prevention, Langfang, China

Abstract

Geological disaster risk assessment is crucial for regional disaster prevention and mitigation, playing a vital role in strengthening natural disaster prevention capabilities. This study focuses on southern Tieling, constructing a comprehensive geological disaster risk assessment system. An AHP-information quantity coupling model is employed, with hydrological slopes as evaluation units. Information quantities of nine susceptibility indicators, including geomorphology, geological structures, and vegetation hydrology, are calculated. Hazard assessment is conducted by synthesizing weighted inducing factors, which are then integrated with data on disaster-bearing elements like population, buildings, and roads. Risk zoning is determined using a risk matrix. Results indicate that high-risk geological disaster areas are mainly distributed east of the line connecting Pingdingpu, Xiongguantun, and Yaopu towns, characterized by steep slopes and significant topographic relief. Notably, all disaster points are located within high-risk zones. These findings provide essential support for disaster management, and territorial spatial planning, and offer valuable insights for infrastructure development and social planning in southern Tieling.

Keywords

Southern Tieling; Geological Disasters; Information Content Model; Risk Assessment

Cite This Paper

Liu Hongtao, Li Haijun, Zhang Yaowen, Dong Jiubo, Pang Yixin. Comprehensive Geological Hazard Risk Assessment in Southern Tieling Region. Academic Journal of Environment & Earth Science (2025), Vol. 7, Issue 3: 1-15. https://doi.org/10.25236/AJEE.2025.070301.

References

[1] Yang, Q., Wang, Y. L., & Ma, Y. Y. Distribution rule and influencing factors of geological disasters from 2001 to 2019 in China[J]. Journal of Geological Hazards and Environment Preservation, 2020,31(4), 43-48.

[2] Qu Feixing, Zhang Jing, Tang Minggao. Assessment Process and Key lssues of Regional Geological Disaster Hazard Based on GlS[J]. Journal of China West Normal University(Natural Science), 2018,39(4), 420-428.

[3] Qi, Y. N., & Wang, L.. Application of AHP-entropy weight method in hazards susceptibility assessment mountain town[J].Bulletin of Surveying and Mapping, 2021(6), 112-116.

[4] Cai, X. Y., & Tie, Y. B. Progress of Urban Geological Disaster Vulnerability Assessment in Domestic[J]. Journal of Catastrophology, 2016,31(4), 200-204.

[5] Guo, J., Zhao, Z. X., Liu, Z. Q., et al. Risk assessment of geological disaster based on information value and AHP model in mining area of Yangquan City[J]. Bulletin of Surveying and Mapping, 2022(11), 101-105.

[6] Liu, Y. F., Wang, X. K., Cai, T. L., et al. Characteristic and Risk Assessment of Geological Hazard in HaitanIsland, Fujian Province[J]. Journal of Catastrophology, 2016,31(4), 122-127.

[7] Chen, X. Y., Lu, X. Z., & Wang, C. Fuzzy Comprehensive Evaluation for the Geological Disaster Vulnerability of Kunming City[J]. Safety and Environmental Engineering, 2012,19(2), 54-57.

[8] Zhou, S. H., Fu, Y. H., Xu, Z. W., et al. Geological disasters susceptibility mapping in Fujian Province based on subjective and objective weighting[J]. Journal of Safety and Environment, 2023,23(9), 3204-3214.

[9] Zhang, Z. Z. Risk Assessment of Deep Foundation Pit Construction in Metro StationsBased on improved AHP and Entropy Value Algorithm[J]. Modern Tunnelling Technology, 2022,59(S2), 13-21.

[10] Guan, X., Yu, F., Xu, H., et al. Flood risk assessment of urban metro system using random forest algorithm and triangular fuzzy number based analytical hierarchy process approach[J]. Sustainable Cities and Society, 2024,109.

[11] Wu, J., & Jiang, X. Flood Disaster Risk Assessment in Wuhan City Based on GIS Analysis and Indicator Ranking Using Random Forest[J]. Buildings, 2024,14(5).

[12] Liu, Y. J., & Liu, H. J. Evaluation of Geological Hazard Susceptibility in Seismic Zone Based on Information Data-RF Model: A Case Study of Songpan-Jiaochang Seismic Zone[J]. Science Technology and Engineering, 2024,24(1), 143 - 154.

[13] Teng, F., Mao, Y., Li, Y., et al. Comparative models of support-vector machine, multilayer perceptron, and decision tree predication approaches for landslide susceptibility analysis[J]. Open Geosciences, 2024,16(1).

[14] Li, S., Chen, G., Men, J., et al. A novel dynamic risk assessment method for hazardous chemical warehouses based on improved SVM and mathematical methodologies[J]. Journal of Loss Prevention in the Process Industries, 2024,89.

[15] Tang, Y. B., Huang, B., Li, W., et al. Risk assessment on ground collapse induced by sewer breakage based on artificial neural network models[J/OL]. Yangtze River, 2024,1-8[2024-06-11].

[16] Zheng, D. F., Gao, M., Yan, C. L., et al. Susceptibility Assessment of Landslides Based on Convolutional NeuralNetwork Model: A Case Study from Xianrendong National Nature Reserve in Southern Liaoning Province[J]. Earth Science, 2024,49(5),1654-1664.

[17] Hu, Y., Zhang, Z. Z., & Lin, S. H. Evaluation of landslide susceptibility in the Ili Valley, Xinjiang based on the coupling of the Weight of Evidence (WOE) model and logistic regression[J]. Journal of Engineering Geology, 2023,31(4), 1350-1363.

[18] Wu, L. Y., He, D. J., Hong, W., et al. Advances of Research on Natural Disaster Risk Assessment and Disaster Vulnerability[J]. Journal of Catastrophology, 2014,29(4),129-135.

[19] Shi, P. J. Theory and practice on disaster system research in a fourth time[J]. Journal of Natural Disasters, 2005,(6),1-7.

[20] Shi, P. J. Theory and practice on disaster system research in a fifth time[J]. Journal of Natural Disasters, 2009,18(5),1-9.

[21] Liu, C. L., Si, W. B., Yao, X. L., et al. Comprehensive risk assessment of geohazards in Bangor County, northern Tibet Plateau[J]. Acta Geologica Sinica, 2024,59(1),249-258.

[22] Zhang, C., Chen, Y., Zhang, Y. F., et al. Geohazard susceptibility evaluation in Zhaotong of Yunnan based on the multivariate linear regression model[J]. Hydrogeology & Engineering Geology, 2016,43(3),159-163.

[23] Huang, Q. W., Liu, Q. L., Du, J., et al Refined susceptibility assessment of landslides in township-TakingXiongjia Township, Wanzhou District as an example[J]. Safety and Environmental Engineering, 2024,31(3),188-197+216.