Evidence map›Paper›PMID 38434409›Full record

ArticleHeliyon2024

Experimental study of soil erosion on moraine-consolidated slopes under heavy rainfall.

Xing-Long Feng, Zheng-Rong Li, Ming-Gui Jiang, Shao-Yong Wang, Chong Chen, Wei Sun

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Xing-Long FengYunnan Diqing Non-Ferrous Metal Co., Ltd, Diqing, 674400, China.
Zheng-Rong LiYunnan Diqing Non-Ferrous Metal Co., Ltd, Diqing, 674400, China.
Ming-Gui JiangFaculty of land and Resources Engineering, Kunming University of Science and Technology, Kunming, 650093, China.
Shao-Yong WangSchool of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Chong ChenSchool of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Wei SunFaculty of land and Resources Engineering, Kunming University of Science and Technology, Kunming, 650093, China.
Kunming University of Science and Technology · CNUniversity of Science and Technology Beijing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface subsidence pits formed by mining disturbance are highly susceptible to slope instability under rainfall erosion, inducing underground debris flow disasters. To prevent and control underground debris flow disasters in a subsidence area, a test model of subsidence pit slope was established in accordance with the principle of similar simulation, and the erosion-resistant performance of moraine-cured slopes with different soil-slurry ratios and the law of runoff and sand production were investigated through the simulation of artificial rainfall and a simulation test of grouting. Results show that the initial rainfall production time increases exponentially with increasing soil-slurry ratio, while sediment production intensity decreases linearly with increasing rainfall duration. The evolution of soil erosion can be divided into five stages: impact infiltration, water-filled softening, stripping cutting, migration crossing, and steady flow equilibrium. Compared with in situ moraine, moraine particles after grouting between the generation of large amounts of Si-

Indexed as

Debris flowMoraine debrisRainfall simulationSlope runoffSoil erosion

Identifiers

PMID38434409
PMCPMC10906404
OpenAlexW4391951415

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.