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Rolling Resistance

Rolling Resistance

When a solid cylinder rolls steadily on a rigid surface, the normal force applied by the surface on the cylinder is perpendicular to the tangent at the contact point. However, since no materials are entirely rigid, the surface's reaction to the cylinder involves a range of normal pressures.
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Environmental Engineering

Air Pollution Modelling And Control

Development Of A Parametrized And Regionalized Life Cycle Inventory Model For Tire And Road Wear Particles.

Environmental Engineering

Air Pollution Modelling And Control

Development Of A Parametrized And Regionalized Life Cycle Inventory Model For Tire And Road Wear Particles.

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Measuring Sub-23 Nanometer Real Driving Particle Number Emissions Using the Portable DownToTen Sampling System

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Published on: May 22, 2020

Development of a parametrized and regionalized life cycle inventory model for tire and road wear particles.

Louisa Ospital¹, Manuele Margni², Anne-Marie Boulay¹

¹CIRAIG, Department of Chemical Engineering, Polytechnique Montréal, 3333 Queen Mary Road, suite 310, Montréal, Québec H3V 1A2, Canada.

Journal of Hazardous Materials

|June 26, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Tire and Road Wear Particles (TRWPs) are microplastics from traffic. This study presents a new model to estimate TRWP emissions more accurately by considering vehicle operation and environmental factors.

Keywords:

Emission factor Influencing parameter Inventory model Microplastics Tire and Road Wear Particles

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Area of Science:

Environmental Science
Traffic Emissions
Microplastic Pollution

Background:

Tire and Road Wear Particles (TRWPs) are a major source of microplastics from non-exhaust traffic emissions.
Current methods for quantifying TRWP emissions lack detail on operational, environmental, and geographical factors.
Accurate TRWP emission data is crucial for assessing environmental and health impacts.

Purpose of the Study:

To introduce a novel, parametrized, and regionalized inventory model for quantifying TRWP emissions.
To provide context-specific TRWP emission estimates at vehicle and national scales.
To complement existing Life Cycle Inventory databases for comprehensive impact assessments.

Main Methods:

Developed a vehicle-specific methodology incorporating nine key parameters: road texture, load, driving behavior, speed, road wetness, road type, temperature, humidity, and tire type.
The model estimates emissions for both large (10-500 µm) and fine (<10 µm) tire wear particles.
Incorporated regionalization to account for geographical variations in TRWP emissions.

Main Results:

Road texture, driving behavior, and road wetness significantly influence large particle emissions.
Increased temperature and carried load predominantly affect fine particle emissions.
The driving environment is a significant factor influencing both large and fine TRWP emissions.

Conclusions:

The novel model offers context-specific TRWP emission estimates, improving upon existing methodologies.
The model's design allows for continuous updates, enhancing its applicability across diverse conditions.
This research provides a foundation for more accurate Life Cycle Impact Assessments of TRWPs.