Evidence map›Paper›PMID 42174230›Full record

ArticleEnvironmental monitoring and assessment2026

An online tomographic sediment trap for high-resolution environmental monitoring.

Markus Johansson, Saija Saarni, Jouni Sorvari

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 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
–field-weighted citation impact
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

3 authors.

Markus JohanssonDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.ORCID http://orcid.org/0000-0002-5489-1756
Saija SaarniDepartment of Geography and Geology, University of Turku, Turku, Finland.ORCID http://orcid.org/0000-0003-2050-3062
Jouni SorvariNatural Resources Institute Finland (Luke), Helsinki, Finland. jouni.sorvari@luke.fi.ORCID http://orcid.org/0000-0003-2668-7771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sediment trapping is a well-established method for obtaining information on sedimentation flux and composition in aquatic environments. Passive sediment traps typically have a collection period of several months to a year, while autonomous traps with revolving wheels can achieve a daily time resolution. However, these devices are often costly, require laborious maintenance, and have high power consumption, which limits their use in remote field locations. This study presents a novel, ultra-high-resolution (hourly temporal resolution) sediment trap based on optical tomography that enables continuous online monitoring of sediment flux. Laboratory validation demonstrated a high volumetric calibration accuracy, with a mean measurement error of ± 0.6 mL (R

Indexed as

Environmental MonitoringGeologic SedimentsTomography, OpticalAquatic sedimentsConstruction work impactEnvironmental monitoringFlux rateOnline technologySuspended sediment trappingWater quality

Identifiers

PMID42174230
PMCPMC13197281

What OpenQuestion holds

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LicenceCC BY
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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.