An online tomographic sediment trap for high-resolution environmental monitoring

dc.contributor.authorJohansson, Markus
dc.contributor.authorSaarni, Saija
dc.contributor.authorSorvari, Jouni
dc.contributor.organizationfi=geologia|en=Geology |
dc.contributor.organization-code1.2.246.10.2458963.20.72020864681
dc.converis.publication-id524879534
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/524879534
dc.date.accessioned2026-06-08T20:11:02Z
dc.description.abstract<p>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<sup>2</sup> = 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.<br></p>
dc.identifier.eissn1573-2959
dc.identifier.jour-issn0167-6369
dc.identifier.urihttps://www.utupub.fi/handle/11111/61637
dc.identifier.urlhttps://doi.org/10.1007/s10661-026-15469-w
dc.identifier.urnURN:NBN:fi-fe2026060865224
dc.language.isoen
dc.okm.affiliatedauthorSaarni, Saija
dc.okm.discipline1172 Environmental sciencesen_GB
dc.okm.discipline1172 Ympäristötiedefi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherSpringer Science and Business Media LLC
dc.publisher.countryNetherlandsen_GB
dc.publisher.countryAlankomaatfi_FI
dc.publisher.country-codeNL
dc.relation.articlenumber638
dc.relation.doi10.1007/s10661-026-15469-w
dc.relation.ispartofjournalEnvironmental Monitoring and Assessment
dc.relation.volume198
dc.titleAn online tomographic sediment trap for high-resolution environmental monitoring
dc.year.issued2026

Tiedostot

Näytetään 1 - 1 / 1
Ladataan...
Name:
s10661-026-15469-w.pdf
Size:
2.07 MB
Format:
Adobe Portable Document Format