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Evaluation of landslide susceptibility in Nujiang prefecture based on optimized MaxEnt model
Author: LI Yimin,XIANG Qianying,DENG Xuanlun,FENG Xianjie Time: 2024-01-02 Counts:

doi:10.16186/j.cnki.1673-9787.2023070010

Received:2023-07-06

Revised:2023-09-14

Online Date: 2024-01-02

Evaluation of landslide susceptibility in Nujiang prefecture based on optimized MaxEnt modelOnline

LI Yimin1,2, XIANG Qianying3, DENG Xuanlun1, FENG Xianjie3

1.School of Earth SciencesYunnan UniversityKunming  650500YunnanChina;2.Yunnan University Engineering Research Center of High-resolution Satellite Remote SensingYunnan UniversityKunming  650500YunnanChina;3.Institute of International Rivers and Ecological SecurityYunnan UniversityKunming  650500YunnanChina

Abstract:Nujiang Prefecture is a typical alpine valley region with frequent geological disasters, which seriously restricts the local development. Therefore, it is urgent to carry out research on the prediction of landslide disaster susceptibility and the main influencing factors in this region. In this paper, 14 influencing factors such as meteorology, hydrology, landform and vegetation ecology in Nujiang Prefecture were comprehensively considered, and the occurrence of landslide disaster was predicted based on the optimized MaxEnt model to realize the evaluation of landslide susceptibility in Nujiang Prefecture. The results show that: The optimized MaxEnt has excellent applicability in predicting landslide susceptibility in the study area (AUC=0.913). The Jackknife method was used to calculate the influence of various influencing factors on landslide susceptibility, such as elevation (S3, 23.2%), slope (S9, 22.4%), settlement density (S5, 14.2%), distance from river (S13, 13.7%), distance from road (S4, 9.6%) and lithology (S7, 8.7%) were the top six factors, with a cumulative contribution of 91.8%. The spatial distribution proportions of four landslide susceptibility levels from high to low are 4.88%, 8.96%, 18.40% and 67.76%, respectively. Lushui City is the county with the largest proportion of extremely high and high susceptibility areas.In the overall spatial pattern, the extremely high and highly prone areas are mainly distributed in canyons along with rivers and roads, while the low prone areas are mainly distributed in the areas with little human activities and undeveloped valleys. Based on the evaluation results of landslide susceptibility in Nujiang Prefecture, this paper can provide scientific basis for disaster prevention and reduction and land use planning in this region.

Key words:Nujiang State;maximum entropyMaxEnt model;landslide;susceptibility

CLCO224;P642.22

 

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