Evidence map›Paper›PMID 41781644›Full record

ArticleScientific reports2026

Study on the effect of sprinkler layout parameters on dust removal in tunnel construction.

Shuai Yang, Rui Ren, Juan Du, Jing Dong, Jinfeng Shi, Yifan Yao

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers 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

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

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

6 authors.

Shuai YangRocket Force University of Engineering, Xian, 710025, China. ys199345@163.com.
Rui RenSchool of Highway, Chang'an University, Xian, 710064, China.
Juan DuRocket Force University of Engineering, Xian, 710025, China.
Jing DongRocket Force University of Engineering, Xian, 710025, China.
Jinfeng ShiRocket Force University of Engineering, Xian, 710025, China.
Yifan YaoRocket Force University of Engineering, Xian, 710025, China.

Funding

Natural Science Basic Research Program of Shaanxi Province 2025JC-YBQN-583the Foundation of Rocket Force University of Engineering 2024QN-B020the National Natural Science Foundation of China 52508593
6 · The paper itself

Abstract

Dust pollution caused by tunnel construction has a serious impact on workers' health and how removing it quickly and effectively has become a key issue. To investigate the dust‑suppression mechanism and optimal design of spraying systems in tunnels, this study integrated numerical simulation and experimental validation to analyze the dynamic development characteristics of water mist, the spatial evolution of dust, and systematically examined the effects of spray angle and location. The results indicate that the development of water mist can be divided into three stages: pre, mid, and post. Under the combined influence of jet entrainment and return airflow, the highest spray concentration occurs in the region 15-25 m from the tunnel face. While spraying effectively reduces dust concentration, it also intensifies spatial inhomogeneity, leading to a distinct dust accumulation zone along the wall on the return‑air side. Increasing the spray angle enlarges the cross‑sectional coverage but shortens the projection distance. Different factors dominate during different ventilation stages: in the initial stage, the contact time between mist and dust is primary, with a 0° angle achieving the highest dust reduction rate within 10 m; in the middle stage, both contact time and coverage area play a role; after spraying stops, the 45° angle produces broader residual mist coverage in the tunnel, resulting in a dust removal efficiency of up to 86.7%. The influence of spray location shows a phased pattern: during the early stage of dust dispersion, closer proximity to the tunnel face yields higher interception efficiency; after spraying ceases, residual mist becomes dominant, and efficiency continues to improve when the device is placed 15-25 m from the face. Experimental verification demonstrates that after system activation, PM2.5 concentration drops rapidly, with residual mist continuing to capture dust. The concentration in the monitoring section eventually stabilizes, showing a reduction of 73.84% compared to the non‑spraying condition, confirming the system's effectiveness and sustained purification capability.

Indexed as

Dust removal efficiencyExperimental testingFine water mist dust removalNumerical simulationTunnel engineering

Identifiers

PMID41781644
PMCPMC13076690

What OpenQuestion holds

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Registered trials

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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.