Landslide early warning based on improved tangential angle and displacement rate: A case study of the Leijiashan landslide in Shimen County, Hunan Province

To study landslide monitoring and early warning methods in Hunan Province,and to improve the success rate of early warning,the Leijiashan landslide in Shimen County is used as a representative case. Through a detailed site investigation, this paper describes the characteristics of the landslide and provides a comprehensive analysis of its failure mechanism. The results reveal that the unique landscape and loose soil structure are internal factors contributing to the occurrence of the landslide, while heavy rainfall and the engineering excavation are external factors. By utilizing the GNSS system,complete displacement-time curves are obtained, and the types and features of these curves are analyzed to identify the evolutionary characteristics of the landslide,which include three stages: initial deformation, constant deformation, and accelerated deformation. Therefore, the landslide is classified as a gradual change type. By using the tangent angle and deformation rate thresholds as important indicators for landslide early warning,an early warning criterion is established. It is integrated with the community-based disaster prevention and early warning information platform, providing direct evidence for relevant departments to carry out disaster prevention, reduction, and emergency response. Successful mitigation of the Leijiashan landslide validates the practicality of this monitoring and early warning method.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-10-01
DOI
https://doi.org/10.16031/j.cnki.issn.1003-8035.202303041
Citations
2
Primary Topic
Renaissance and Early Modern Studies
Type
article
Field-Weighted Citation Impact
20.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Landslide early warning based on improved tangential angle and displacement rate: A case study of the Leijiashan landslide in Shimen County, Hunan Province

2 citations
SHILAP Revista de lepidopterología
Renaissance and Early Modern Studies
20.71
article

Landslide early warning based on improved tangential angle and displacement rate: A case study of the Leijiashan landslide in Shimen County, Hunan Province

article en
2 citations

Abstract

To study landslide monitoring and early warning methods in Hunan Province,and to improve the success rate of early warning,the Leijiashan landslide in Shimen County is used as a representative case. Through a detailed site investigation, this paper describes the characteristics of the landslide and provides a comprehensive analysis of its failure mechanism. The results reveal that the unique landscape and loose soil structure are internal factors contributing to the occurrence of the landslide, while heavy rainfall and the engineering excavation are external factors. By utilizing the GNSS system,complete displacement-time curves are obtained, and the types and features of these curves are analyzed to identify the evolutionary characteristics of the landslide,which include three stages: initial deformation, constant deformation, and accelerated deformation. Therefore, the landslide is classified as a gradual change type. By using the tangent angle and deformation rate thresholds as important indicators for landslide early warning,an early warning criterion is established. It is integrated with the community-based disaster prevention and early warning information platform, providing direct evidence for relevant departments to carry out disaster prevention, reduction, and emergency response. Successful mitigation of the Leijiashan landslide validates the practicality of this monitoring and early warning method.

SHILAP Revista de lepidopterología
Department of Science and Technology of Hunan Province (CN)
Climate action
Openalex Percentile: Top 1%
Renaissance and Early Modern Studies
20.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.