Article(id=1223196808172655154, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221733, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1661011200000, receivedDateStr=2022-08-21, revisedDate=1664208000000, revisedDateStr=2022-09-27, acceptedDate=null, acceptedDateStr=null, onlineDate=1769562444965, onlineDateStr=2026-01-28, pubDate=1692892800000, pubDateStr=2023-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769562444965, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769562444965, creator=13701087609, updateTime=1769562444965, updator=13701087609, issue=Issue{id=1223196803663778281, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='8', pageStart='1', pageEnd='222', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769562443888, creator=13701087609, updateTime=1769563793740, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223202465391166440, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223202465391166441, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223196803663778281, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=175, endPage=179, ext={EN=ArticleExt(id=1223196808923435620, articleId=1223196808172655154, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Deformation Analysis of Shanzao Landslide Based on SBAS-InSAR Technology, columnId=1222925283779400191, journalTitle=Water Resources and Power, columnName=WATER CONSERVANCY AND HYDROPOWER ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

Landslides induced by typhoon rainstorm has the characteristics of abruptness and difficulty in the investigation. Taking the Shanzao landslide that occurred during the typhoon "Lekima" as an example, based on 24 landscape data of Railway Sentinel-1 from Sept. 12, 2017, to Aug. 9, 2019, this paper analyzed the sequential cumulative deformation of landslides in this period by SBAS-InSAR technology and further analyzed the regularity of surface deformation of landslide mass with meteorological data. The results show that the deformation before the occurrence of Shanzao landslide is mainly divided into three stages: creep stage of landslide mass, deformation of front edge of landslide mass increases significantly and gradually expands toward the middle of the slope mass, and accelerated deformation stage of the rear edge of landslide mass. The vertical deformation rate and accumulated deformation data of InSAR monitoring points on the landslide mass show that the deformation rate and accumulated deformation in the front and middle of slope are small, and it mainly focus on the rear edge of the landslide, with the maximum deformation rate and accumulated settlement of 40 mm/a and 320 mm respectively. The landslide is a push-over landslide. The research results provide a new idea and method for the early identification, monitoring and early warning of landslides, and have a certain reference value for the prevention and control of landslide disasters.

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台风暴雨诱发滑坡具有突发性,调查难度较大。以台风“利奇马”期间发生的山早滑坡为例,基于滑坡发生前的升轨哨兵一号2017年9月12日至2019年8月9日的24景数据,采用SBAS-InSAR技术分析了该时段滑坡的时序累积变形,并结合气象资料进一步分析了滑坡体地表形变的规律。结果表明,山早滑坡发生前的形变主要划分为滑坡体蠕变阶段、滑坡体前缘变形显著增加并向坡体中部逐渐扩大阶段、滑坡体后缘加速变形阶段3个阶段;滑坡体上InSAR监测点垂直方向的形变速率及累积变形数据显示坡体前缘及中部形变速率和累计变形较小,变形主要集中在滑坡体的后缘,其形变速率和累计沉降最大分别可达40 mm/a和320 mm,该滑坡为推移式滑坡。研究结果为滑坡的早期识别及监测预警提供了新的思路和方法,对滑坡灾害的防治有一定的参考价值。

, correspAuthors=null, authorNote=null, correspAuthorsNote=
缪海波(1985-),男,博士、副教授、硕导,研究方向为岩土体稳定性与地质灾害,E-mail:
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杨犇(1998-),男,硕士研究生,研究方向为地质灾害,E-mail:

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杨犇(1998-),男,硕士研究生,研究方向为地质灾害,E-mail:

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杨犇(1998-),男,硕士研究生,研究方向为地质灾害,E-mail:

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基于SBAS-InSAR技术的山早滑坡形变分析
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杨犇 , 缪海波 , 马闯 , 朱隆奇
水电能源科学 | 水利水电工程 2023,41(8): 175-179
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水电能源科学 | 水利水电工程 2023, 41(8): 175-179
基于SBAS-InSAR技术的山早滑坡形变分析
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杨犇 , 缪海波 , 马闯, 朱隆奇
作者信息
  • 安徽理工大学土木建筑学院,安徽 淮南 232001
  • 杨犇(1998-),男,硕士研究生,研究方向为地质灾害,E-mail:

通讯作者:

缪海波(1985-),男,博士、副教授、硕导,研究方向为岩土体稳定性与地质灾害,E-mail:
Deformation Analysis of Shanzao Landslide Based on SBAS-InSAR Technology
Ben YANG , Hai-bo MIAO , Chuang MA, Long-qi ZHU
Affiliations
  • School of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan 232001, China
出版时间: 2023-08-25 doi: 10.20040/j.cnki.1000-7709.2023.20221733
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台风暴雨诱发滑坡具有突发性,调查难度较大。以台风“利奇马”期间发生的山早滑坡为例,基于滑坡发生前的升轨哨兵一号2017年9月12日至2019年8月9日的24景数据,采用SBAS-InSAR技术分析了该时段滑坡的时序累积变形,并结合气象资料进一步分析了滑坡体地表形变的规律。结果表明,山早滑坡发生前的形变主要划分为滑坡体蠕变阶段、滑坡体前缘变形显著增加并向坡体中部逐渐扩大阶段、滑坡体后缘加速变形阶段3个阶段;滑坡体上InSAR监测点垂直方向的形变速率及累积变形数据显示坡体前缘及中部形变速率和累计变形较小,变形主要集中在滑坡体的后缘,其形变速率和累计沉降最大分别可达40 mm/a和320 mm,该滑坡为推移式滑坡。研究结果为滑坡的早期识别及监测预警提供了新的思路和方法,对滑坡灾害的防治有一定的参考价值。

山早滑坡  /  滑坡形变  /  哨兵一号  /  SBAS-InSAR  /  台风“利奇马”

Landslides induced by typhoon rainstorm has the characteristics of abruptness and difficulty in the investigation. Taking the Shanzao landslide that occurred during the typhoon "Lekima" as an example, based on 24 landscape data of Railway Sentinel-1 from Sept. 12, 2017, to Aug. 9, 2019, this paper analyzed the sequential cumulative deformation of landslides in this period by SBAS-InSAR technology and further analyzed the regularity of surface deformation of landslide mass with meteorological data. The results show that the deformation before the occurrence of Shanzao landslide is mainly divided into three stages: creep stage of landslide mass, deformation of front edge of landslide mass increases significantly and gradually expands toward the middle of the slope mass, and accelerated deformation stage of the rear edge of landslide mass. The vertical deformation rate and accumulated deformation data of InSAR monitoring points on the landslide mass show that the deformation rate and accumulated deformation in the front and middle of slope are small, and it mainly focus on the rear edge of the landslide, with the maximum deformation rate and accumulated settlement of 40 mm/a and 320 mm respectively. The landslide is a push-over landslide. The research results provide a new idea and method for the early identification, monitoring and early warning of landslides, and have a certain reference value for the prevention and control of landslide disasters.

Shanzao landslide  /  deformation of the landslide  /  Sentinel-1  /  SBAS-InSAR  /  Typhoon Lekima
杨犇, 缪海波, 马闯, 朱隆奇. 基于SBAS-InSAR技术的山早滑坡形变分析. 水电能源科学, 2023 , 41 (8) : 175 -179 . DOI: 10.20040/j.cnki.1000-7709.2023.20221733
Ben YANG, Hai-bo MIAO, Chuang MA, Long-qi ZHU. Deformation Analysis of Shanzao Landslide Based on SBAS-InSAR Technology[J]. Water Resources and Power, 2023 , 41 (8) : 175 -179 . DOI: 10.20040/j.cnki.1000-7709.2023.20221733
  • 安徽省自然科学基金项目(2208085MD97)
2023年第41卷第8期
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doi: 10.20040/j.cnki.1000-7709.2023.20221733
  • 接收时间:2022-08-21
  • 首发时间:2026-01-28
  • 出版时间:2023-08-25
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  • 收稿日期:2022-08-21
  • 修回日期:2022-09-27
基金
安徽省自然科学基金项目(2208085MD97)
作者信息
    安徽理工大学土木建筑学院,安徽 淮南 232001

通讯作者:

缪海波(1985-),男,博士、副教授、硕导,研究方向为岩土体稳定性与地质灾害,E-mail:
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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