基于随机森林的滑坡空间易发性评价：以三峡库区湖北段为例

吴润泽; 胡旭东; 梅红波; 贺金勇; 杨建英

doi:10.3799/dqkx.2020.032

Volume 46 Issue 1

Jan. 2021

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Article Navigation > Earth Science > 2021 > 46(1): 321-330

Wu Runze, Hu Xudong, Mei Hongbo, He Jinyong, Yang Jianying, 2021. Spatial Susceptibility Assessment of Landslides Based on Random Forest: A Case Study from Hubei Section in the Three Gorges Reservoir Area. Earth Science, 46(1): 321-330. doi: 10.3799/dqkx.2020.032

Citation:

Wu Runze, Hu Xudong, Mei Hongbo, He Jinyong, Yang Jianying, 2021. Spatial Susceptibility Assessment of Landslides Based on Random Forest: A Case Study from Hubei Section in the Three Gorges Reservoir Area. Earth Science, 46(1): 321-330. doi: 10.3799/dqkx.2020.032

Citation:

Wu Runze, Hu Xudong, Mei Hongbo, He Jinyong, Yang Jianying, 2021. Spatial Susceptibility Assessment of Landslides Based on Random Forest: A Case Study from Hubei Section in the Three Gorges Reservoir Area. Earth Science, 46(1): 321-330. doi: 10.3799/dqkx.2020.032

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Spatial Susceptibility Assessment of Landslides Based on Random Forest: A Case Study from Hubei Section in the Three Gorges Reservoir Area

doi: 10.3799/dqkx.2020.032

Wu Runze^{1
,
,},
Hu Xudong²,
Mei Hongbo^{3
,
,
,},
He Jinyong³,
Yang Jianying¹

1.
Wuhan Center of Geological Survey, CGS, Wuhan 430205, China
2.
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
3.
School of Earth Resources, China University of Geosciences, Wuhan 430074, China

Received Date: 2020-02-21
Publish Date: 2021-01-15

Abstract

Abstract

Landslide spatial susceptibility assessment can assist to conduct the prevention and mitigation of landslides,in which the application of effective landslide models plays a significant role. Taking Hubei section of the Three Gorges Reservoir Area as study area,nine influencing factors including elevation,slope angle,slope structure,land use,engineering rock group,distance to faults,distance to roads,distance to rivers,and normalized difference vegetation index were selected to to establish the landslide spatial database.Then the random forest ensemble algorithm was used to assess landslide susceptibility. The results show that the sampling training scheme of random forest benefits to search suitable training parameters,and enables the random forest achieve desirable fitting ability and generalization skill when avoiding the over-fitting problem. The landslide susceptibility mapping results developed by random forest show a reasonable spatial distribution,where 73.35% of the landslides are located in highly and very highly susceptible areas. Furthermore,the areas of northern Badong county,central Zigui county and the southern Yiling district show a higher susceptibility level. The performance evaluation and statistical results of susceptibility show that the random forest is an excellent algorithm,and has a good applicability in the field of landslide spatial prediction.
- landslide,
- susceptibility,
- random forest,
- Three Gorges reservoir area

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References(42)

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Spatial Susceptibility Assessment of Landslides Based on Random Forest: A Case Study from Hubei Section in the Three Gorges Reservoir Area

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