Study on Intelligent Evaluation and Zoning of Geohazards Risk in Mianluening Area

ZHANG Wenlong; ZHANG Zhenkai; YANG Shuai

doi:10.12401/j.nwg.2022017

Northwestern Geology > 2023 > 56(1): 276-283. > DOI: 10.12401/j.nwg.2022017

ZHANG Wenlong, ZHANG Zhenkai, YANG Shuai. Study on Intelligent Evaluation and Zoning of Geohazards Risk in Mianluening Area[J]. Northwestern Geology, 2023, 56(1): 276-283. DOI: 10.12401/j.nwg.2022017

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Study on Intelligent Evaluation and Zoning of Geohazards Risk in Mianluening Area

Natural Resources Shaanxi Satellite Application Technology Center, Shaanxi Institute of Geological Survey, Xi’an 710119, Shaanxi, China

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Received Date: November 11, 2021
Revised Date: September 14, 2022
Available Online: September 26, 2022

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Abstract

Abstract

Mianluening, located in Qinba mountain area, is one of the areas with the most serious geohazards in Shaanxi Province. This paper adopts 12 factors closely related to the occurrence of geohazards to construct a sample set based on GIS and machine learning technology, and then selects five machine learning algorithms to model the risk of geohazards in Mianluening area. The experiments demonstrated that the Random Forests model is the most suitable one to simulate the occurance of geohazards in the study area. Further division of geohazards risk is then performed by the aforementioned model, which is useful to guide the geohazards investigation and prevention.
- geohazards,
- risk evaluation,
- Mianluening area,
- Machine learning

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References (22)

References

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Study on Intelligent Evaluation and Zoning of Geohazards Risk in Mianluening Area