ANALYSIS OF METHODS AND TOOLS FOR STUDYING THE DYNAMICS OF DISPLACEMENT OF LANDSLIDES

A. Karpik, V. Khoroshilov, A. Komissarov
{"title":"ANALYSIS OF METHODS AND TOOLS FOR STUDYING THE DYNAMICS OF DISPLACEMENT OF LANDSLIDES","authors":"A. Karpik, V. Khoroshilov, A. Komissarov","doi":"10.33764/2411-1759-2021-26-6-17-32","DOIUrl":null,"url":null,"abstract":"The implementation of large-scale construction projects requires particular attention to the study of exogenous geological processes in complex geomorphological conditions. Slope processes (develop-ment of landslides, landslides, avalanches) are the most widespread and dangerous geological process-es. Mechanisms of their formation, identification, as well as regular control and monitoring of their condition seem to be the most important elements for a qualitative assessment of landslide phenome-na, including the timely identification of the areas of greatest danger and elimination of their conse-quences. The article presents the currently most common methods and means of identifying landslide areas in order to manage risks efficiently. The possibilities of traditional approaches using remote sensing technologies and the possibilities of ground (TLS) and airborne (ALS) laser scanning methods for studying landslide phenomena are considered; methods of photogrammetry, geodesy, geophysics, geodynamics and mathematical modeling; GIS capabilities in combination with machine learning algo-rithms, as well as classical methods of mathematical statistics with complex processing of heterogene-ous data.","PeriodicalId":152770,"journal":{"name":"Vestnik SSUGT (Siberian State University of Geosystems and Technologies)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vestnik SSUGT (Siberian State University of Geosystems and Technologies)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33764/2411-1759-2021-26-6-17-32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The implementation of large-scale construction projects requires particular attention to the study of exogenous geological processes in complex geomorphological conditions. Slope processes (develop-ment of landslides, landslides, avalanches) are the most widespread and dangerous geological process-es. Mechanisms of their formation, identification, as well as regular control and monitoring of their condition seem to be the most important elements for a qualitative assessment of landslide phenome-na, including the timely identification of the areas of greatest danger and elimination of their conse-quences. The article presents the currently most common methods and means of identifying landslide areas in order to manage risks efficiently. The possibilities of traditional approaches using remote sensing technologies and the possibilities of ground (TLS) and airborne (ALS) laser scanning methods for studying landslide phenomena are considered; methods of photogrammetry, geodesy, geophysics, geodynamics and mathematical modeling; GIS capabilities in combination with machine learning algo-rithms, as well as classical methods of mathematical statistics with complex processing of heterogene-ous data.
滑坡位移动力学研究的方法和工具分析
大型建设项目的实施需要特别注意研究复杂地貌条件下的外生地质过程。斜坡过程(滑坡、滑坡、雪崩的发展)是最普遍和最危险的地质过程。山体滑坡形成、识别的机制以及对其状况的定期控制和监测似乎是对山体滑坡现象进行质量评价的最重要因素,包括及时查明最危险的地区和消除其后果。本文介绍了目前最常用的识别滑坡区域的方法和手段,以便有效地管理风险。考虑了利用遥感技术的传统方法以及地面(TLS)和机载(ALS)激光扫描方法研究滑坡现象的可能性;摄影测量学、大地测量学、地球物理学、地球动力学和数学建模方法;GIS功能与机器学习算法相结合,以及经典的数学统计方法与异构数据的复杂处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信