Evaluation of Disaster Susceptibility and Analysis of Influencing Factors in Tuquan County

Authors

  • Ming Li College of Construction Engineering, Jilin University, Changchun 130026, Jilin, China
  • Tie Jin College of Construction Engineering, Jilin University, Changchun 130026, Jilin, China
  • Yimin Liu Geological Survey Academy of Inner Mongolia Autonomous Region, Hohhot 010020, Inner Mongolia, China
  • Yong Zhang Geological Survey Academy of Inner Mongolia Autonomous Region, Hohhot 010020, Inner Mongolia, China
  • Chen Cao College of Construction Engineering, Jilin University, Changchun 130026, Jilin, China
  • Tianhao Song Three Gorges Geotechnical Engineering Co. LTD, Wuhan 430073, Hubei, China
  • Zeyu Wang Jilin Provincial Water Resources and Hydropower Survey and Design Institute, Changchun 130000, Jilin, China

DOI:

https://doi.org/10.53469/jpce.2024.06(12).08

Keywords:

Geological Disasters, Susceptibility, Influencing Factors, Disaster Mode

Abstract

Geological disasters are complex and serious natural disasters that are related to geological conditions and affected by human activities and climate change. Therefore, it is of great significance to evaluate the susceptibility of geological disasters and analyze their main influencing factors. This study took Tuquan County, Xing'an League, Inner Mongolia Autonomous Region as the research object. Eight indicators, including elevation, terrain slope, landform type, geological structure, rock and soil type, vegetation coverage, water flow intensity index (SPI), and terrain wetness index (TWI), were selected for susceptibility evaluation. The final results were divided into four areas: high, medium, low, and non-susceptible areas. The study found that geological disasters in the region are affected by factors such as rainfall, earthquakes, and human engineering activities. Rainfall and human activities are the main triggers for the development of disasters.

References

Zhao J, Zhang Q, Wang D. Machine learning-based evaluation of susceptibility to geological hazards in the Hengduan mountains region, China [J]. International Journal of Disaster Risk Science, 2022, 13(2): 305-316.

Gao R, Wang C, Liang Z. A research on susceptibility mapping of multiple geological hazards in Yanzi River Basin, China [J]. ISPRS International Journal of Geo-Information, 2021, 10(4): 218.

Ma J, Wang X, Yuan G. Evaluation of geological hazard susceptibility based on the regional division information value method [J]. ISPRS International Journal of Geo-Information, 2023, 12(1): 17.

Cao C, Zhu K, Xu P. Refined landslide susceptibility analysis based on InSAR technology and UAV multi-source data [J]. Journal of Cleaner Production, 2022, 368: 133146.

Cao X, Wu B, Shang Y. Evaluation of Landslide Susceptibility in Tekes County, Yili Prefecture Based on the Information Quantity Method [J]. Applied Sciences, 2024, 14(14): 6053.

Tan Y, Guo D, Xu B. A geospatial information quantity model for regional landslide risk assessment [J]. Natural Hazards, 2015, 79: 1385-1398.

Shao M, Hou S, Gao J. Using the Information Quantity Method to Assess the Regional Risk of Highway Slope to Improve the Level of Risk Management [J]. Advances in Civil Engineering, 2023, 2023(1): 9118355.

Lin J, Chen W, Qi X. Risk assessment and its influencing factors analysis of geological hazards in typical mountain environment [J]. Journal of Cleaner Production, 2021, 309: 127077.

Liang S Y, Wang Y X, Wang Y. Risk Assessment of geological hazard in Wudu area of Longnan City, China [J]. Applied Mechanics and Materials, 2011, 39: 232-237.

Mejia-Navarro M, Wohl E E. Geological hazard and risk evaluation using GIS: methodology and model applied to Medellin, Colombia [J]. Bulletin of the association of engineering geologists, 1994, 31(4): 459-481.

Zou F, Che E, Long M. Quantitative assessment of geological hazard risk with different hazard indexes in mountainous areas [J]. Journal of Cleaner Production, 2023, 413: 137467.

Cascini L. Applicability of landslide susceptibility and hazard zoning at different scales [J]. Engineering Geology, 2008, 102(3-4): 164-177.

Fell R, Corominas J, Bonnard C. Guidelines for landslide susceptibility, hazard and risk zoning for land use planning [J]. Engineering Geology, 2008, 102(3-4): 85-98.

Ercanoglu M, Gokceoglu C, Van Asch T W. Landslide susceptibility zoning north of Yenice (NW Turkey) by multivariate statistical techniques [J]. Natural Hazards, 2004, 32: 1-23.

Vansarochana A, Tripathi N K, Clemente R. Finding appropriate interpolation techniques for topographic surface generation for mudslide risk zonation [J]. Geocarto International, 2009, 24(4): 313-332.

Fan X, Scaringi G, Korup O. Earthquake‐induced chains of geologic hazards: Patterns, mechanisms, and impacts [J]. Reviews of geophysics, 2019, 57(2): 421-503.

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Published

2024-12-26

How to Cite

Li, M., Jin, T., Liu, Y., Zhang, Y., Cao, C., Song, T., & Wang, Z. (2024). Evaluation of Disaster Susceptibility and Analysis of Influencing Factors in Tuquan County. Journal of Progress in Civil Engineering, 6(12), 53–58. https://doi.org/10.53469/jpce.2024.06(12).08