A1 Refereed original research article in a scientific journal

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




AuthorsJohansson, Markus; Saarni, Saija; Sorvari, Jouni

PublisherSpringer Science and Business Media LLC

Publication year2026

Journal: Environmental Monitoring and Assessment

Article number638

Volume198

ISSN0167-6369

eISSN1573-2959

DOIhttps://doi.org/10.1007/s10661-026-15469-w

Publication's open availability at the time of reportingOpen Access

Publication channel's open availability Partially Open Access publication channel

Web address https://doi.org/10.1007/s10661-026-15469-w

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/524879534

Self-archived copy's licenceCC BY

Self-archived copy's versionPublisher`s PDF


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 (R2 = 0.99). We deployed a prototype in Savilahti Bay, Kuopio, to evaluate its ability to detect short-term sediment pulses caused by onshore construction work. The field results confirmed the method's effectiveness and reliability in tracking highly dynamic flux variations, although image processing techniques require further development for extreme sedimentation rates. The autonomous, solar-powered system transmits data wirelessly, significantly reducing fieldwork requirements. This methodology provides a crucial tool for monitoring high-resolution sediment dynamics and remote study sites.


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Funding information in the publication
Open access funding provided by Natural Resources Institute Finland.


Last updated on 08/06/2026 09:35:25 AM