Tire Wear Chemicals in the Urban Atmosphere: Significant Contributions of Tire Wear Particles to PM_2.5

Environmental Science & Technology, Год журнала: 2024, Номер unknown

Опубликована: Сен. 12, 2024

Tire wear particles (TWPs) containing tire chemicals (TWCs) are of global concern due to their large emissions and potential toxicity. However, TWP contributions urban fine poorly understood. Here, 72 paired gas-phase PM

Язык: Английский

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Laboratory Measurement and Machine Learning-Based Analysis of Driving Factors for Brake Wear Particle Emissions from Light-Duty Electric Vehicles and Heavy-Duty Vehicles.

Journal of Hazardous Materials, Год журнала: 2025, Номер 488, С. 137433 - 137433

Опубликована: Янв. 28, 2025

Язык: Английский

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Relationship Between Traffic Density and Particulate Matter Concentrations

Опубликована: Янв. 1, 2025

Язык: Английский

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Simulation and Study on the Flow Field of Non-Exhaust Particulate Matter Distribution in the RL-SHED

E3S Web of Conferences, Год журнала: 2025, Номер 615, С. 02007 - 02007

Опубликована: Янв. 1, 2025

As in some studies the SHED was selected as test equipment to collect and measure non-exhaust particles produced by vehicle, flow field distribution of calculated analyzed through CFD simulation. The collection rate that could be collected at sample port studied. results show particulate matter is distributed a flocculent manner SHED. Affected wind speed set SHED, large front vehicle leads faster diffusion accumulation rear With increase fan, gradually uniform. After ejecting from where tire meets ground hub gap, spread side tire, enter wheel cover gap under influence rolling shape fender. In addition, with speed, also increases.

Язык: Английский

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Characterization of brake wear particle emissions from passenger cars: A case study of particle agglomeration and fragmentation

Journal of Environmental Sciences, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

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A framework for scalable ambient air pollution concentration estimation

Environmental Data Science, Год журнала: 2025, Номер 4

Опубликована: Янв. 1, 2025

Abstract Ambient air pollution remains a global challenge, with adverse impacts on health and the environment. Addressing requires reliable data pollutant concentrations, which form foundation for interventions aimed at improving quality. However, in many regions, including United Kingdom, monitoring networks are characterized by spatial sparsity, heterogeneous placement, frequent temporal gaps, often due to issues such as power outages. We introduce scalable data-driven supervised machine learning model framework designed address gaps filling missing measurements within Kingdom. The used is LightGBM, gradient boosting algorithm based decision trees, efficient modeling. This approach provides comprehensive dataset England throughout 2018 1 km 2 hourly resolution. Leveraging techniques real-world from sparsely distributed stations, we generate 355,827 synthetic stations across study area. Validation was conducted assess model’s performance forecasting, estimating locations, capturing peak concentrations. resulting of particular interest diverse range stakeholders engaged downstream assessments supported outdoor concentration nitrogen dioxide (NO ), Ozone (O 3 particulate matter diameter 10 μm or less (PM 2.5 PM , sulphur (SO higher resolution than previously possible.

Язык: Английский

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Evaluation of emission factors for resuspended tire-wear particles in urban road dust using empirical model-based methods

The Science of The Total Environment, Год журнала: 2025, Номер 975, С. 179322 - 179322

Опубликована: Апрель 7, 2025

Язык: Английский

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Assessment of PM2.5, PM10, SO2 and NO2 in the Northwestern Indian Himalaya—A Correlation with Tourism and Meteorological Parameters: Regional Collaborative Governance

Aerosol Science and Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 27, 2025

Язык: Английский

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Vehicle Non‐Exhaust Emissions Significantly Contribute to Urban PM Pollution in New Energy Vehicles Era

Journal of Geophysical Research Atmospheres, Год журнала: 2025, Номер 130(9)

Опубликована: Апрель 29, 2025

Abstract The non‐exhaust emissions of motor vehicles derived from brake and tire wear have caused great concern, thereby requiring an investigation their impact on air quality. We develop a high‐resolution vehicle inventory for Tianjin City based detailed link‐level traffic profiles localized emission factors. conduct atmospheric simulations ambient particulate matter (PM) concentrations contributed by emissions. results show that surpassed exhaust the first time in 2013 (PM 2.5 ). Areas with high intensities are primarily concentrated central urban areas human activity population density. Local can be responsible approximately 3% PM concentrations, may reach 7.13% some periods. In future, controlling will effectively alleviate pollution during new energy era.

Язык: Английский

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Measurement of tyre dust particles in the atmosphere using chemical tracers

Atmospheric Environment, Год журнала: 2023, Номер 298, С. 119607 - 119607

Опубликована: Янв. 30, 2023

Control of airborne particulate matter is a high priority due to its adverse effects upon human health. Road traffic contributes both coarse and fine particle concentrations, through exhaust non-exhaust emissions particles. Tyre dust recognised as making an important contribution from road traffic, which in many countries now exceed emissions. The analysis tyre the atmosphere challenging, most methods depend use chemical tracers, are inorganic organic. None wholly specific fully quantitative, this article reviews those have been used highlights some their strengths weaknesses.

Язык: Английский

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