| 基于GIS与信息量模型的溪洛渡库区滑坡危险性评价 | |
| Alternative Title | Risk Assessment of Landslide in the Xiluodu Reservoir Area Based on GIS and Information Value Method |
熊俊楠1,2; 朱吉龙1; 苏鹏程3 ; 龚颖1; 赵云亮1; 李进1; 李伟1
| |
| 2019 | |
| Source Publication | 长江流域资源与环境
 |
| ISSN | 1004-8227 |
| Volume | 28Issue:3Pages:700-711 |
| Subtype | Article |
| Contribution Rank | 3 |
| Abstract | 通过高分辨率影像对溪洛渡库区段金沙江两岸5km范围内滑坡灾害遥感解译,结合野外实地调查验证,已查明共有滑坡161处。从滑坡形成机理入手,选取高程、相对高差、坡度、坡向、岩性、地震、降雨等7个评价指标,首先分析滑坡与各因素的空间分布关系,然后采用层次分析法和信息量模型对研究区进行滑坡危险性评价。研究结果表明:(1)研究区滑坡易发生在高程600~ 1300m、高差100~ 700m、坡度15° ~ 40°的区域,降雨量越大,滑坡发生的概率越大,且坡向对滑坡发生也有影响,其中东、东南、西、西北方向的滑坡相对较多;(2)极高和高危险区占研究区总面积的27.86%,却包含研究区76.4%的滑坡数量,说明这些区域滑坡分布十分密集,危险程度较高,与实际情况相吻合;(3)极高危险区和高危险区主要集中在溪洛渡坝址沿江两岸附近区域、距离坝址约25~ 35km的金沙江右岸区域和库尾金沙江左岸20km范围区域,库区中段大部分区域都是中、低和极低危险区;(4)滑坡灾害点空间分布与危险评价等级之间相关性达0.9703,利用ROC曲线对评价结果进行验证,评价结果理想,精度高达81.88%,可为库区防灾减灾工作提供理论支撑。 |
| Other Abstract | According to the interpretation of high-resolution remote sensing images and field investigation on both sides of Jinsha River in the Xiluodu reservoir area,161 landslides were identified.This paper started with the mechanism of landslide formation,and seven evaluation indies including elevation,height difference,slope,aspect,lithology,earthquake and rainfall were chosen to evaluate the hazard of landslides by AHP (Analytic Hierarchy Process) and information value method.The spatial distribution relationships between landslides and various factors were analyzed at first.The results showed that:(1) The landslide easily occurs in the regions with the elevation in the range of 600 - 1300 m,the height difference between 100 - 700 m,the slope between 15° - 40°,and with large rainfall.Moreover,the different slope aspects also had influence on the landslide,and there were relatively more landslides in the east,southeast and northwest direction.(2) The extremely high areas and the high risk areas accounted for 27.86% of the total study area,where 76.4% of the landslides locate,indicating that the landslides were very dense in these areas and the risk was relatively high,which was consistent with the actual situation.(3) The extremely high risk areas and the high risk areas mainly concentrate in the Xiluodu dam site along the river,which was the right bank area of the Jinsha River about 25 to 35 km away from the site of the dam,and the left bank area of the Jinsha River with 20 km away from the reservoir tail.And most of the areas in the middle section of the reservoir were moderate risk areas.(4) The correlation coefficient between the spatial distribution of landslide hazards and the risk assessment grade was 0.970 3.Verified by ROC curves,the evaluation results were ideal with the accuracy of 81.88%,which can provide theoretical supports for the disaster prevention and mitigation work in the reservoir area. |
| Keyword | 滑坡 库区 影响因素 层次分析法 信息量模型 危险性评价 |
| DOI | 10.11870/cjlyzyyhj201903021 |
| Indexed By | CSCD |
| Language | 中文 |
| CSCD ID | CSCD:6463547 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imde.ac.cn/handle/131551/26246 |
| Collection | 山地灾害与地表过程重点实验室 山地表生过程与生态调控重点实验室 |
| Corresponding Author | 熊俊楠 |
| Affiliation | 1.西南石油大学土木工程与建筑学院; 2.中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室; 3.中国科学院水利部成都山地灾害研究所 |
| First Author Affilication | 中国科学院水利部成都山地灾害与环境研究所 |
| Corresponding Author Affilication | 中国科学院水利部成都山地灾害与环境研究所 |
| Recommended Citation GB/T 7714 | 熊俊楠,朱吉龙,苏鹏程,等. 基于GIS与信息量模型的溪洛渡库区滑坡危险性评价[J]. 长江流域资源与环境,2019,28(3):700-711. |
| APA | 熊俊楠.,朱吉龙.,苏鹏程.,龚颖.,赵云亮.,...&李伟.(2019).基于GIS与信息量模型的溪洛渡库区滑坡危险性评价.长江流域资源与环境,28(3),700-711. |
| MLA | 熊俊楠,et al."基于GIS与信息量模型的溪洛渡库区滑坡危险性评价".长江流域资源与环境 28.3(2019):700-711. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 基于GIS与信息量模型的溪洛渡库区滑坡危（7231KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment