AIMC Topic: Soot

Clear Filters Showing 1 to 9 of 9 articles

Urban road BC emissions of LDGVs: Machine learning models using OBD/PEMS data.

Chemosphere Sep 14, 2024
Urban Black Carbon (BC) emissions from light-duty gasoline vehicles (LDGVs) are challenging to quantify in real-world settings. This study employed a Portable Emission Measurement System (PEMS) to assess BC emissions from five LDGVs on urban roads. W...
Gasoline Soot Air Pollutants Cities China Vehicle Emissions Machine Learning Environmental Monitoring
View on PubMed DOI

Do machine learning methods improve prediction of ambient air pollutants with high spatial contrast? A systematic review.

Environmental research Aug 6, 2024
BACKGROUND & OBJECTIVE: The use of machine learning for air pollution modelling is rapidly increasing. We conducted a systematic review of studies comparing statistical and machine learning models predicting the spatiotemporal variation of ambient ni...
Machine Learning Soot Air Pollution Particulate Matter Nitrogen Dioxide Environmental Monitoring Air Pollutants
View on PubMed DOI

Application of artificial intelligence in quantifying lung deposition dose of black carbon in people with exposure to ambient combustion particles.

Journal of exposure science & environmental epidemiology Oct 17, 2023
BACKGROUND: Understanding lung deposition dose of black carbon is critical to fully reconcile epidemiological evidence of combustion particles induced health effects and inform the development of air quality metrics concerning black carbon. Macrophag...
Environmental Exposure Wildfires Smoke Soot Air Pollution Adult Particulate Matter Male Particle Size Lung Air Pollutants Humans Carbon Algorithms Middle Aged Artificial Intelligence Macrophages Female
View on PubMed DOI

Predicting spatial variations in annual average outdoor ultrafine particle concentrations in Montreal and Toronto, Canada: Integrating land use regression and deep learning models.

Environment international Jul 22, 2023
BACKGROUND: Concentrations of outdoor ultrafine particles (UFP; <0.1 µm) and black carbon (BC) can vary greatly within cities and long-term exposures to these pollutants have been associated with a variety of adverse health outcomes.
Air Pollutants Air Pollution Environmental Pollutants Soot Particulate Matter Deep Learning Environmental Monitoring Canada Particle Size
View on PubMed DOI

Prediction of black carbon in marine engines and correlation analysis of model characteristics based on multiple machine learning algorithms.

Environmental science and pollution research international Jun 13, 2022
Ship black carbon emissions have caused great harm to ecological environment. In order to estimate the black carbon emissions, thereby reducing the cost of black carbon experiments, here, we introduced four machine learning algorithms which are lasso...
Soot Algorithms Support Vector Machine Carbon Machine Learning
View on PubMed DOI

Machine learning and deep learning enabled fuel sooting tendency prediction from molecular structure.

Journal of molecular graphics & modelling Nov 22, 2021
Soot formation models become increasingly important in advanced renewable fuels formulation for soot reduction benefit. This work evaluates performance of machine learning (ML) and deep learning (DL) to predict yield sooting index (YSI) from chemical...
Machine Learning Deep Learning Molecular Structure Neural Networks, Computer Soot
View on PubMed DOI

A spatio-temporal prediction model based on support vector machine regression: Ambient Black Carbon in three New England States.

Environmental research Sep 18, 2017
Fine ambient particulate matter has been widely associated with multiple health effects. Mitigation hinges on understanding which sources are contributing to its toxicity. Black Carbon (BC), an indicator of particles generated from traffic sources, h...
Soot Particulate Matter Seasons Models, Theoretical New Hampshire Support Vector Machine Massachusetts Environmental Monitoring Rhode Island Air Pollutants
View on PubMed DOI

A robust black carbon prediction model derived from observational datasets in the Yangtze River Delta region, China.

Environmental pollution (Barking, Essex : 1987) Jul 15, 2025
Black carbon (BC) is a short-lived pollutant with significant environment and human health impacts. Monitoring BC is important, but its spatial coverage is limited. Therefore, predicting BC concentration is crucial in densely populated regions like t...
Machine Learning Air Pollutants Rivers Soot China Environmental Monitoring
View on PubMed DOI

Long-term mortality burden trends attributed to black carbon and PM from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study.

The Lancet. Planetary health Dec 1, 2023
BACKGROUND: Long-term improvements in air quality and public health in the continental USA were disrupted over the past decade by increased fire emissions that potentially offset the decrease in anthropogenic emissions. This study aims to estimate tr...
United States Carbon Air Pollutants Deep Learning Cohort Studies Mortality Soot Particulate Matter Wildfires Humans
View on PubMed DOI
Popular Topics
Recent Journals