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Article Navigation >  CARSOLOGICA SINICA  > 2025  > Accepted Manuscript
XIE Siqin, LUAN Song, ZHOU Dahai. Risk Assessment of Geological Hazard Based On GIS and Information Modeling Methods[J]. CARSOLOGICA SINICA. doi: 10.11932/karst2025y013
Citation: XIE Siqin, LUAN Song, ZHOU Dahai. Risk Assessment of Geological Hazard Based On GIS and Information Modeling Methods[J]. CARSOLOGICA SINICA. doi: 10.11932/karst2025y013
shu

Risk Assessment of Geological Hazard Based On GIS and Information Modeling Methods

doi: 10.11932/karst2025y013
  • 1.

    Regional Geological Survey and Research Institute of Guangxi Zhuang Autonomous Region, Guilin, Guangxi 541002, China

  • 2.

    Institute of Karst Geology, CAGS/Key Laboratory of Karst Dynamics, MNR & GZAR/International Research Center on Karst under the Auspices of UNESCO, Guilin, Guangxi 541004, China

  • Received Date: 2024-01-08
  • Accepted Date: 2024-09-13
  • Rev Recd Date: 2024-08-16
    • Available Online: 2025-08-20
    Abstract
  • Over the years, geological hazard such as collapses landslide, dangerous rock, and karst collapse have occurred frequently in Guangxi, with a wide distribution area, long impact time, a large number of people affected, and heavy economic losses. It has practical guidance significance to provide basic scientific for disaster prevention and reduction work in the area, and to carry out early prediction and evaluation of geological hazard risk.The risk of geological hazard refers to the possibility of a specific scale and type of geological hazard occurring within a certain area and time period under the influence of certain triggering factors.The early prediction and evaluation of geological hazard risk is currently a major challenge in disaster prevention and reduction. There are many influencing factors and evaluation methods for risk assessment of geological hazard. This article takes Xiangzhou County in Guangxi Province as an example, and selects the information model method based on the investigation of the main control geological conditions for potential hazards. Based on the overlay analysis function of ArcGIS on spatial data, according to the characteristics of geological hazard development and potential hazards in the work area, 8 evaluation indicators are selected, including landform type, geological structure, engineering geological rock group and terrain slope, karst development degree, slope structure, vegetation coverage, and human engineering activities. The engineering geological rock group and terrain slope are taken as the main control factors, and other factors are used as secondary factors for overlay zoning. After using the natural breakpoint method in statistics to reclassify the prone zoning, an evaluation grid measured by the value of information is generated to evaluate the susceptibility of geological hazards. The susceptibility of geological hazards in Xiangzhou County is divided into four levels, including low susceptibility, medium susceptibility, high susceptibility, and extremely high susceptibility. Among them, extremely high and high susceptibility are mainly distributed in river terraces, peak forests and valleys where the underground karst areas is strong development, and in the rocky mountain areas, and areas with strong human engineering activities. Medium and low susceptibility are mainly distributed in hilly and low mountain hilly terrain areas. On the basis of susceptibility assessment, according to the meteorological characteristics of the study area, the maximum 24-hour rainfall at each return period of rainfall stations in Xiangzhou County and surrounding areas was collected. The Kriging method in AcrGIS was used to generate contour maps of rainfall once in10 years, once in 20 years, once in 50 years, and once in 100 years. The geological hazard susceptibility assessment map and contour maps of different rainfall conditions were normalized, and spatial superposition analysis was carried out to generate geological hazard risk assessment maps under different rainfall return periods measured by the value of information. The probability was divided into extremely high risk, high risk, medium risk, and low risk using the natural breakpoint method, and the geological hazard risk assessment under different rainfall conditions return periods was obtained. The evaluation results indicate that the larger the recurrence period of rainfall conditions, the larger the distribution area of high and extremely high risk geological hazards, and the impact of rainfall on geological hazards is significant. The areas with extremely high geological hazard risk in Xiangzhou County are mainly distributed in the central part near the Sicun Town, where is the river terrace landform units, and the sand gravel clay double-layer structure soil rock formation areas, the eastern Dale Town to Baizhang Town and the western Maping Town, where is the peak forest valley landform units, and the thick to blocky strong rock melted hard limestone and dolomite rock formation areas; The high-risk areas are mainly distributed in the hilly and river terrace landform units, including the northeast of Yunjiang Town, Sicun Town to Dale and Baizhang Township, as well as the west of Maping Town; The remaining areas are mainly classified as medium to low risk areas, with hills and low mountain hills being the main geomorphic units.This article scientifically evaluates the geological hazard risk in Xiangzhou County, Guangxi, highlighting the key points and adapting measures to local conditions, dividing different geological hazard risk levels, and clarifying the geological hazard risk zoning under different rainfall conditions, to provides a certain reference basis for geological hazard warning and forecasting, and improves the technical support system for geological hazard identification, zoning, and control in the research area. At the same time, its evaluation results can serve as the basis for national spatial planning, guiding population and economy to gather in low-risk areas in an orderly manner.

     

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