Evidence map›Paper›PMID 33926052›Full record

ArticleSensors (Basel, Switzerland)2021

A Landslide Monitoring System for Natural Terrain in Korea: Development and Application in Hazard Evaluations.

Young-Suk Song, Byung-Gon Chae, Kyeong-Su Kim, Joon-Young Park, Hyun-Joo Oh, Sueng-Won Jeong

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 1 institution in 1 country.

Young-Suk SongGeologic Environment Division, Korea Institute of Geoscience and Mineral Resources, Daejeon 34132, Korea.ORCID 0000-0002-8521-9698
Byung-Gon ChaePolicy and Planning Division, Korea Institute of Geoscience and Mineral Resources, Daejeon 34132, Korea.
Kyeong-Su KimGeologic Environment Division, Korea Institute of Geoscience and Mineral Resources, Daejeon 34132, Korea.
Joon-Young ParkGeologic Environment Division, Korea Institute of Geoscience and Mineral Resources, Daejeon 34132, Korea.ORCID 0000-0002-1692-182X
Hyun-Joo OhGeologic Environment Division, Korea Institute of Geoscience and Mineral Resources, Daejeon 34132, Korea.
Sueng-Won JeongGeologic Environment Division, Korea Institute of Geoscience and Mineral Resources, Daejeon 34132, Korea.
Korea Institute of Geoscience and Mineral Resources · KR

Funding

Ministry of Science and ICT, South Korea 21-3412-1
6 · The paper itself

Abstract

This study describes the development of a landslide monitoring system for the purpose of reducing damages caused by landslides in natural terrain. The system was developed to analyze the effects of landslide-inducing rainfall and the behavior of slopes through 12 monitoring stations that are distributed across eight national parks in Korea. Several sensors and a data acquisition equipment to monitor landslide were installed in each station. The composition of the system and its operating program were designed to efficiently manage the sizeable amounts of real-time monitoring data that are collected from the various stations. To test the potential of the developed system for reliable landslide hazard evaluations, data measured over a five-year period by the two monitoring stations in Jirisan National Park were analyzed. Subsequently, the suction stress of the soil over the monitoring period was calculated by applying laboratory test result of the geotechnical and unsaturated soil properties in the analysis domain area. The infinite slope stability analysis combined with an effective stress concept based on the suction stress was applied to calculate the factor of safety. This method also enabled the temporal and quantitative evaluation of slope stability in natural terrain. In addition, based on the monitoring and slope stability analysis results, an analysis for the spatial classification of landslide hazards was conducted. The analysis results quantitatively and statistically demonstrated that 98% of historical landslide initiation areas were classified as high hazard levels.

Indexed as

hazard evaluationinfinite slope stabilitymonitoring systemnatural terrainshallow landslides

Identifiers

PMID33926052
PMCPMC8123579
OpenAlexW3157951183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.