Evidence map›Paper›PMID 39863656›Full record

ArticleScientific reports2025

Using monitoring and simulation to analyze the failure characteristics of multizone landslides controlled by faults: a case study.

Jinduo Li, Tianhong Yang, Wenxue Deng, Shigui Du, Penghai Zhang, Jia Wang, Dongdong Sun, Yuan Gao

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jinduo LiCenter for Rock Instability and Seismicity Research, School of Resources and Civil Engineering, Northeastern University, Shenyang, 110819, Liaoning, People's Republic of China.
Tianhong YangCenter for Rock Instability and Seismicity Research, School of Resources and Civil Engineering, Northeastern University, Shenyang, 110819, Liaoning, People's Republic of China. yangtianhong@mail.neu.edu.cn.
Wenxue DengCenter for Rock Instability and Seismicity Research, School of Resources and Civil Engineering, Northeastern University, Shenyang, 110819, Liaoning, People's Republic of China. dengwenxue@mail.neu.edu.cn.
Shigui DuCenter for Rock Instability and Seismicity Research, School of Resources and Civil Engineering, Northeastern University, Shenyang, 110819, Liaoning, People's Republic of China.
Penghai ZhangCenter for Rock Instability and Seismicity Research, School of Resources and Civil Engineering, Northeastern University, Shenyang, 110819, Liaoning, People's Republic of China.
Jia WangNanfen Open-pit Iron Mine, Bensteel Group Mining Corporation Limited, Benxi, 117014, Liaoning, People's Republic of China.
Dongdong SunSchool of Mining Engineering, University of Science and Technology Liaoning, Anshan, 114051, Liaoning, People's Republic of China.
Yuan GaoInformation Institute of the Ministry of Emergency Management of PR China, Beijing, 100029, People's Republic of China.

Funding

the National Key Research and Development Program of China 2022YFC2903902the National Key Research and Development Program of China 2022YFC2903903
6 · The paper itself

Abstract

Slopes influenced by multiple faults are prone to large-scale landslides triggered by multi-regional failures. Understanding the failure process and sequence is essential for the sustainable development of mining operations. This paper presents a method combining InSAR monitoring and numerical simulation to analyze the failure processes of slopes affected by multiple faults. Using the 298-710 m bench in the central area of the eastern slope of the Nanfen open-pit mine as a case study, the multidimensional small baseline subset (MSBAS) technique of InSAR was employed to calculate the vertical and horizontal deformation time series in the study area, enabling an analysis of the deformation characteristics of multizone bedding sliding. Subsequently, a numerical simulation was performed to replicate the three-dimensional evolution of the multizone failure. The simulation results aligned well with field surveys and InSAR monitoring data. Furthermore, the failure sequence analysis identified critical trigger zones within the region. The findings demonstrate that the proposed method effectively identifies the critical areas and movement sequence of multi-regional failures. In this paper, the faults disrupted the connectivity between slopes, acting as the initial trigger for entire landslide. The first failure occurred in a critical area, creating space for further sliding in other regions and reducing lateral constraints in neighboring areas, eventually leading to significant deformations. Therefore, by using this method to identify potential critical areas before landslides occur, targeted mitigation measures can be implemented to reduce the risk of such events.

Indexed as

Failure sequenceInSARLandslideMulti-zone failureSlope stability

Identifiers

PMID39863656
PMCPMC11763049

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.