From seeding to detachment : leveraging deep learning to quantify the transport of tire wear microplastics in a wind tunnel

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00009009
URN to cite this document: urn:nbn:de:bvb:703-epub-9009-9

Title data

Ayinde, Bashir O. ; Babel, Wolfgang ; Olesch, Johannes ; Wagner, Daniel ; Agarwal, Seema ; Laforsch, Christian ; Brehm, Julian ; Nölscher, Anke C. ; Thomas, Christoph K.:
From seeding to detachment : leveraging deep learning to quantify the transport of tire wear microplastics in a wind tunnel.
In: Aerosol Research Discussions. Vol. 2026 (2026) . - pp. 1-37.
ISSN 2940-3405
DOI der Verlagsversion: https://doi.org/10.5194/ar-2026-2

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Project information

Project title:	Project's official title Project's id SFB 1357: MIKROPLASTIK – Gesetzmäßigkeiten der Bildung, des Transports, des physikalisch-chemischen Verhaltens sowie der biologischen Effekte: Von Modell- zu komplexen Systemen als Grundlage neuer Lösungsansätze 391977956
Project financing:	Deutsche Forschungsgemeinschaft

Further data

Item Type:	Article in a journal
Keywords:	Microplastics; deep learning; image analysis; particle seeding; tyre wear; environmental pollution
DDC Subjects:	500 Science > 550 Earth sciences, geology
Institutions of the University:	Faculties > Faculty of Biology, Chemistry and Earth Sciences Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Micrometeorology Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Micrometeorology > Professor Micrometeorology - Univ.-Prof. Dr. Christoph K. Thomas Profile Fields > Advanced Fields > Ecology and the Environmental Sciences Profile Fields > Advanced Fields > Nonlinear Dynamics Research Networks > Ecology and Environment Research Institutions > Collaborative Research Centers, Research Unit > SFB 1357 - MIKROPLASTIK Faculties Profile Fields Profile Fields > Advanced Fields Research Networks Research Institutions Research Institutions > Collaborative Research Centers, Research Unit
Language:	English
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-epub-9009-9
Date Deposited:	01 Apr 2026 07:28
Last Modified:	01 Apr 2026 07:29
URI:	https://epub.uni-bayreuth.de/id/eprint/9009

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