AIMC Topic: Air Pollutants

Clear Filters Showing 21 to 30 of 304 articles

Uncovering key sources of regional ozone simulation biases using machine learning and SHAP analysis.

Environmental pollution (Barking, Essex : 1987) Mar 6, 2025
Atmospheric chemical transport models (CTMs) are widely used in air quality management, but still have large biases in simulations. Accurately and efficiently identifying key sources of simulation biases is crucial for model improvement. However, tra...
Models, Chemical Air Pollution Ozone Environmental Monitoring Air Pollutants Machine Learning China
View on PubMed DOI

The role of reservoir size in driving methane emissions in China.

Water research Mar 5, 2025
Reservoirs play a crucial role as sources of methane (CHâ‚„) emissions, with emission rates and quantities varying widely depending on reservoir size due to factors such as surface area, water depth, usage, operational methods, and spatial distribution...
Environmental Monitoring China Air Pollutants Methane
View on PubMed DOI

Prediction of landfill gases concentration based on Grey Wolf Optimization - Support Vector Regression during landfill excavation process.

Waste management (New York, N.Y.) Mar 4, 2025
In some areas, there is a phenomenon that the landfill is full or even over-capacity with the extension of the service period. With the aging and damage of the protective facilities, this phenomenon may have a more serious impact on the surrounding e...
Refuse Disposal Waste Disposal Facilities Odorants Gases Algorithms Support Vector Machine Air Pollutants Environmental Monitoring
View on PubMed DOI

PM concentration prediction using a whale optimization algorithm based hybrid deep learning model in Beijing, China.

Environmental pollution (Barking, Essex : 1987) Mar 1, 2025
PM is a significant global atmospheric pollutant impacting visibility, climate, and public health. Accurate prediction of PM concentrations is critical for assessing air pollution risks and providing early warnings for effective management. This stud...
Deep Learning Environmental Monitoring Air Pollutants Algorithms Animals Air Pollution Particulate Matter Beijing Whales
View on PubMed DOI

Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning.

BMC public health Mar 1, 2025
BACKGROUND: Metabolic diseases (MDs), exemplified by diabetes, hypertension, and dyslipidemia, have become increasingly prevalent with rising living standards, posing significant public health challenges. The MDs are influenced by a complex interplay...
Humans Air Pollution Machine Learning Environmental Exposure Male Metabolic Diseases Middle Aged China Female Spatial Analysis Air Pollutants
View on PubMed DOI

Air pollution and prostate cancer: Unraveling the connection through network toxicology and machine learning.

Ecotoxicology and environmental safety Feb 28, 2025
BACKGROUND: In recent years, air pollution has been demonstrated to be associated with the occurrence of various diseases. This study aims to explore the potential association between air pollutants and prostate cancer (PCa) and to identify key genes...
Protein Interaction Maps Male Humans Prostatic Neoplasms Air Pollutants Molecular Docking Simulation Air Pollution Machine Learning
View on PubMed DOI

Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City.

Scientific reports Feb 25, 2025
Ozone pollution affects food production, human health, and the lives of individuals. Due to rapid industrialization and urbanization, Liaocheng has experienced increasing of ozone concentration over several years. Therefore, ozone has become a major ...
Cities Environmental Monitoring Neural Networks, Computer Humans China Ozone Memory, Short-Term Air Pollutants Air Pollution
View on PubMed DOI

Prediction of school PM by an attention-based deep learning approach informed with data from nearby air quality monitoring stations.

Chemosphere Feb 24, 2025
Predicting indoor air pollutants concentrations in schools is essential for ensuring a healthy learning environment. Traditional measurements methods pose challenges in cost, maintenance, and time. This study proposes a new approach using a deep lear...
Particulate Matter Schools Air Pollutants Air Pollution, Indoor Humans Deep Learning Environmental Monitoring
View on PubMed DOI

High-resolution spatio-temporal estimation of street-level air pollution using mobile monitoring and machine learning.

Journal of environmental management Feb 21, 2025
High spatio-temporal resolution street-level air pollution (SLAP) estimation is essential for urban air quality management, yet traditional methods face significant challenges in capturing the detailed spatial and temporal variability of pollution. M...
Spatio-Temporal Analysis Cities Machine Learning Air Pollution Particulate Matter Environmental Monitoring Air Pollutants
View on PubMed DOI

Constructing the 3D Spatial Distribution of the HCHO/NO Ratio via Satellite Observation and Machine Learning Model.

Environmental science & technology Feb 20, 2025
The satellite-based tropospheric column ratio of HCHO to NO (FNR) is widely used to diagnose ozone formation sensitivity; however, its representation of surface conditions remains controversial. In this study, an approach to construct the 3D spatial ...
Environmental Monitoring Air Pollutants Machine Learning Ozone
View on PubMed DOI
Popular Topics
Recent Journals