|本期目录/Table of Contents|

[1]戴可人,吴明堂,卓冠晨,等.西南山区大型水电工程库岸滑坡InSAR早期识别与监测研究进展[J].地球科学与环境学报,2023,45(03):559-577.[doi:10.19814/j.jese.2022.12080]
 DAI Ke-ren,WU Ming-tang,ZHUO Guan-chen,et al.Review on InSAR Early Identification and Monitoring of Reservoir Landslides for Large Hydropower Engineering Projects in Southwest Mountainous Area of China[J].Journal of Earth Sciences and Environment,2023,45(03):559-577.[doi:10.19814/j.jese.2022.12080]
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西南山区大型水电工程库岸滑坡InSAR早期识别与监测研究进展(PDF)
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第45卷
期数:
2023年第03期
页码:
559-577
栏目:
大地测量、遥感与地学大数据
出版日期:
2023-05-15

文章信息/Info

Title:
Review on InSAR Early Identification and Monitoring of Reservoir Landslides for Large Hydropower Engineering Projects in Southwest Mountainous Area of China
文章编号:
1672-6561(2023)03-0559-19
作者:
戴可人123吴明堂4卓冠晨12居安华12温柠玲12冯文凯1*许 强1
(1. 成都理工大学 地质灾害防治与地质环境保护国家重点实验室,四川 成都 610059; 2. 成都理工大学 地球科学学院,四川 成都 610059; 3. 长安大学 地质工程与测绘学院,陕西 西安 710054; 4. 浙江华东建设工程有限公司,浙江 杭州 310030)
Author(s):
DAI Ke-ren123 WU Ming-tang4 ZHUO Guan-chen12 JU An-hua12 WEN Ning-ling12 FENG Wen-kai1* XU Qiang1
(1. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, Sichuan, China; 2. College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, Sichuan, China; 3. School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, Shaanxi, China; 4. Zhejiang Huadong Construction Engineering Co., Ltd., Hangzhou 310030, Zhejiang, China)
关键词:
InSAR技术 早期识别 形变监测 库岸滑坡 水电工程 金沙江 澜沧江 西南山区
Keywords:
InSAR technology early identification deformation monitoring reservoir landslide hydropower engineering project Jinsha River Lancang River southwest mountainous area of China
分类号:
P237
DOI:
10.19814/j.jese.2022.12080
文献标志码:
A
摘要:
我国西南山区大型水电工程大量建设于金沙江、澜沧江、雅砻江流域,但是这些流域复杂的地层、岩性、构造、水文等地质条件导致水电工程库岸滑坡灾害分布广泛,多发频发。合成孔径雷达干涉测量(InSAR)技术凭借其覆盖范围广、监测精度高、不受云雾遮挡等特点为水电工程库岸滑坡早期识别与监测带来了新的机遇,在近年来得到水电工程建设及库岸地质灾害防治相关领域的极大重视。基于此,对西南山区大型水电工程库岸滑坡InSAR早期识别与监测的应用概况进行了梳理,从研究时间、研究内容、研究对象等多角度进行了分析; 对水电工程库岸滑坡InSAR早期识别与监测技术的研究现状、研究热点进行了归纳与总结,揭示了以白鹤滩水电站为里程碑,水电工程库岸滑坡早期识别与监测目前已开始进入InSAR技术应用与研究的爆发阶段; 最后,探讨了水电工程全生命周期(蓄水前阶段、蓄水阶段、蓄水后阶段)对InSAR技术的不同应用需求与算法适用性。随着SAR数据质量提升与算法进步,InSAR技术必将常规化地参与到水电工程全生命周期库岸滑坡的识别与监测工作中,为水电工程库岸滑坡的早期识别、监测预警、触发机理研究及灾害防治等提供重要支撑,提升我国水电工程库岸滑坡地质灾害防治能力。
Abstract:
Lots of large hydropower engineering projects have been built in Jinsha River, Lancang River and Yalong River basins in the southwest mountainous areas of China. But the complicated stratum, lithology, structure, hydrology and other geological conditions of these river basins cause widespread, large number and high frequency of reservoir landslide for large hydropower engineering projects. Synthetic aperture radar interferometry(InSAR)technology with the advantages of wide coverage, high monitoring accuracy, and unblocked by clouds, brings new opportunities for early identification and monitoring of reservoir landslide. Especially in recent years, great attention has been paid to the construction of hydropower engineering projects and the reservoir geohazard prevention. The application of InSAR early identification and monitoring of reservoir landslide for large hydropower engineering projects in southwest mountainous area of China was sorted out, and the overall change analysis was carried out from the perspectives of research time, research content and research object. By summarizing the research status and hotspots of InSAR early identification and monitoring of reservoir landslides in southwest mountainous area, it is revealed that Baihetan hydropower engineering project is a milestone and nowadays has entered the outbreak stage of InSAR technology application and research on reservoir landslide. Meanwhile, the different application requirements of InSAR technology and the applicability of InSAR algorithm in the whole life cycle of hydropower engineering project(including the stage before impoundment, impoundment stage and the stage after impoundment)were discussed. In future, with the improvement of SAR data quality and algorithm, InSAR technology will be routinely involved in the identification and monitoring of reservoir landslides throughout the life cycle of hydropower engineering projects. It can provide important support for the early identification, monitoring and early warning, and trigger mechanism research and geohazard prevention of reservoir landslide, so as to enhance the ability of the reservoir geohazard prevention in China.

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备注/Memo

备注/Memo:
收稿日期:2022-12-31; 修回日期:2023-03-02
基金项目:国家重点研发计划项目(2021YFB3901403); 国家自然科学基金项目(41801391,41941019);
中国博士后科学基金项目(2020M673322); 四川省自然科学基金杰出青年科学基金项目(2023NSFSC1909)
作者简介:戴可人(1989-),男,四川成都人,教授,博士研究生导师,工学博士,博士后,E-mail:daikeren17@cdut.edu.cn。
更新日期/Last Update: 2023-05-30