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Evaluation of geological hazard susceptibility based on the multi-kernel density information method.

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Summary

This study introduces a novel multi-kernel density information (MKDI) method to assess geological hazard susceptibility along roads, improving accuracy by considering spatial interactions. The MKDI model significantly enhances geological disaster risk management and infrastructure planning.

Keywords:
G219 National HighwayGeological hazardMulti-kernel density information (MKDI) methodSusceptibility evaluation

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Area of Science:

  • Geosciences
  • Civil Engineering
  • Environmental Science

Background:

  • Geological hazards along roadways pose significant risks to infrastructure and emergency response.
  • Previous susceptibility assessments overlooked crucial spatial interactions between samples.
  • Accurate hazard evaluation is vital for mitigating financial losses and ensuring safety.

Purpose of the Study:

  • To introduce and validate a novel geological hazard susceptibility assessment model, the multi-kernel density information (MKDI) method.
  • To improve the accuracy of geological hazard susceptibility mapping by incorporating spatial dependencies.
  • To provide a scientific basis for urban planning and risk management along critical transportation routes.

Main Methods:

  • Developed the multi-kernel density information (MKDI) method, integrating information value with kernel density estimation.
  • Employed distinct bandwidths for various disaster scales in kernel density estimation.
  • Utilized factors including slope, lithology, rainfall, and seismic data for susceptibility mapping in Zayu County along the G219 National Highway.

Main Results:

  • The MKDI model demonstrated superior performance compared to previous methods, achieving an Area Under the Curve (AUC) of 0.99.
  • The developed geological hazard susceptibility map effectively captures complex spatial distributions.
  • The model successfully integrated spatial dependencies, outperforming traditional independent sample analyses.

Conclusions:

  • The MKDI method offers a more accurate and comprehensive approach to geological hazard susceptibility assessment.
  • The resulting susceptibility map provides valuable data for informed urban planning, construction, and geological hazard risk management.
  • This study highlights the importance of considering spatial interactions in geological hazard modeling for infrastructure safety.