Grant: Research Tools and Instruments
York University
$150,000.00
Particle Image/Tracking Velocimetry (PIV/PTV) for Hydrodynamic Characterization of Microplastics
EF 2021-22
Résumé
Particle Imaging/Tracking Velocimetry (PIV/PTV) techniques have widespread applications in many fundamental and applied research fields including fluid engineering, medical science, and environmental engineering. Combining these two velocimetry techniques allows non-intrusive characterization of the ambient carrier fluid as well as of the dispersed phase. PIV/PTV techniques have been utilized to parametrize multi-phase flow involving sediment particles, heavy metals, and air bubbles. They have been implemented primarily to investigate the rising or falling behaviours and entrainment in turbulent flow. In the past decade, small plastic particles known as microplastics (MPs), sized smaller than 5mm, have emerged as a hazardous pollutant due to their impact on aquatic animals and human health. Therefore, research on their detection in aquatic environments and ecological implications have gained significant attention. The distribution of MPs in such environments are closely associated with hydrodynamic conditions and some of the physical processes responsible for the mobilization of nutrients, oxygen, and sediments are also capable of transporting MPs. Despite their significance, our knowledge of the interaction of MPs and flow hydrodynamics is limited. The requested PIV/PTV system provides a unique tool for the applicants to carry out breakthrough research on MPs from a perspective that has never been explored before. The equipment will support research on the entrainment and long-distance transport of MPs and mobility and retention of sedimentary MPs. The proposed system is enhanced with machine learning algorithms that enable applicants to view the movement of MP particles in 3D, track particle trajectory, direction, shape, area, and velocity. Furthermore, the system's features, including resolution and speed, are designed to capture intricate features of very irregularly shaped MPs such as microfibres and films. The application of the proposed system, however, is not limited to MPs' characterization; the system will be utilized by applicants in other advanced areas of environmental hydrodynamics including aerated flow characterization. Furthermore, four collaborators at York University, Environment Climate Change Canada, and University of Windsor will be using and benefiting from the system on the basis of exiting collaborations with the applicants.
Programme
Research Tools and Instruments
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RTI-2022-00722
Name nom
Karimpour Ghannadi, Shooka
Department département
Department of Civil Engineering
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2022
Award amount
150000
Program id
RTI
Program name en
Research Tools and Instruments
Program name fr
Outils et instruments de recherche
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1609
Committee name en
Engineering (RTI)
Committee name fr
Génie (OIR)
Area of application code
1002
Area of application group en
Northern development
Area of application group fr
Développement du nord
Area of application en
Environment
Area of application fr
Environnement
Research subject code
1005
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Hydraulic engineering
Research subject fr
Génie hydraulique
Installment
inst:1
Partie
1
Nb partie
1
Application title
Particle Image/Tracking Velocimetry (PIV/PTV) for Hydrodynamic Characterization of Microplastics
Keyword
NSERC
Application summary
Particle Imaging/Tracking Velocimetry (PIV/PTV) techniques have widespread applications in many fundamental and applied research fields including fluid engineering, medical science, and environmental engineering. Combining these two velocimetry techniques allows non-intrusive characterization of the ambient carrier fluid as well as of the dispersed phase. PIV/PTV techniques have been utilized to parametrize multi-phase flow involving sediment particles, heavy metals, and air bubbles. They have been implemented primarily to investigate the rising or falling behaviours and entrainment in turbulent flow. In the past decade, small plastic particles known as microplastics (MPs), sized smaller than 5mm, have emerged as a hazardous pollutant due to their impact on aquatic animals and human health. Therefore, research on their detection in aquatic environments and ecological implications have gained significant attention. The distribution of MPs in such environments are closely associated with hydrodynamic conditions and some of the physical processes responsible for the mobilization of nutrients, oxygen, and sediments are also capable of transporting MPs. Despite their significance, our knowledge of the interaction of MPs and flow hydrodynamics is limited. The requested PIV/PTV system provides a unique tool for the applicants to carry out breakthrough research on MPs from a perspective that has never been explored before. The equipment will support research on the entrainment and long-distance transport of MPs and mobility and retention of sedimentary MPs. The proposed system is enhanced with machine learning algorithms that enable applicants to view the movement of MP particles in 3D, track particle trajectory, direction, shape, area, and velocity. Furthermore, the system's features, including resolution and speed, are designed to capture intricate features of very irregularly shaped MPs such as microfibres and films. The application of the proposed system, however, is not limited to MPs' characterization; the system will be utilized by applicants in other advanced areas of environmental hydrodynamics including aerated flow characterization. Furthermore, four collaborators at York University, Environment Climate Change Canada, and University of Windsor will be using and benefiting from the system on the basis of exiting collaborations with the applicants.