| 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 |
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| 引用本文： | 吴润泽,胡旭东,梅红波,贺金勇,杨建英.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[J].地球科学,2021,46(1):321-330. |
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| 作者姓名： | 吴润泽 胡旭东 梅红波 贺金勇 杨建英 |
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| 作者单位： | 中国地质调查局武汉地质调查中心,湖北武汉 430205;武汉大学遥感信息工程学院,湖北武汉 430079;中国地质大学资源学院,湖北武汉 430074 |
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| 基金项目： | 三峡库区后续地质灾害防治信息系统建设 |
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| 摘 要： | 滑坡空间易发性分析有助于开展滑坡防灾减灾工作，训练有效的滑坡预测模型在其中扮演重要角色.以三峡库区湖北段为研究区，选取高程、坡度、斜坡结构、土地利用类型、岩土体类型、断裂距离、路网距离、河网距离、以及归一化植被指数这9个影响因子建立滑坡空间数据库，采用集成学习中的随机森林算法进行滑坡易发性评价.结果显示，随机森林抽样训练的方式有利于确定较优的训练参数，保证随机森林在不过拟合的情况下取得满意的拟合能力和泛化能力.随机森林绘制的滑坡易发性分级图显示出合理的空间分布，其中73.35%的滑坡分布在较高和极高级别区域.而巴东县北部、秭归县中部以及夷陵区南部等区域显示出较高的易发性级别.性能评估及易发性统计结果均表明随机森林是一种出色的算法，在滑坡空间预测领域具有较好的适用性.
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| 关 键 词： | 滑坡 易发性 随机森林 三峡库区 |
| 收稿时间： | 2020-02-21 |
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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| Wu Runze,Hu Xudong,Mei Hongbo,He Jinyong,Yang Jianying.Spatial Susceptibility Assessment of Landslides Based on Random Forest:A Case Study from Hubei Section in the Three Gorges Reservoir Area[J].Earth Science-Journal of China University of Geosciences,2021,46(1):321-330. |
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| Authors: | Wu Runze Hu Xudong Mei Hongbo He Jinyong Yang Jianying |
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| Affiliation: | (Wuhan Center of Geological Survey,CGS,Wuhan 430205,China;School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;School of Earth Resources,China University of Geosciences,Wuhan 430074,China) |
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| 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. |
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| Keywords: | landslide susceptibility random forest Three Gorges reservoir area |
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