AIMC Topic: Particulate Matter

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A hybrid deep learning model for regional O and NO concentrations prediction based on spatiotemporal dependencies in air quality monitoring network.

Environmental pollution (Barking, Essex : 1987) Jan 11, 2023
Short-term prediction of urban air quality is critical to pollution management and public health. However, existing studies have failed to make full use of the spatiotemporal correlations or topological relationships among air quality monitoring netw...
Environmental Monitoring Air Pollutants Deep Learning China Environmental Pollutants Nitrogen Dioxide Air Pollution Particulate Matter
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Prediction of attachment efficiency using machine learning on a comprehensive database and its validation.

Water research Nov 25, 2022
Colloidal particles can attach to surfaces during transport, but the attachment depends on particle size, hydrodynamics, solid and water chemistry, and particulate matter. The attachment is quantified in filtration theory by measuring attachment or s...
Quartz Crystal Microbalance Techniques Particle Size Particulate Matter Machine Learning Databases, Factual
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Virtual Impactor-Based Label-Free Pollen Detection using Holography and Deep Learning.

ACS sensors Nov 22, 2022
Exposure to bio-aerosols such as pollen can lead to adverse health effects. There is a need for a portable and cost-effective device for long-term monitoring and quantification of various types of pollen. To address this need, we present a mobile and...
Deep Learning Holography Pollen Particulate Matter Aerosols
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Data-driven predictive modeling of PM concentrations using machine learning and deep learning techniques: a case study of Delhi, India.

Environmental monitoring and assessment Nov 3, 2022
The present study intends to use machine learning (ML) and deep learning (DL) models to forecast PM concentration at a location in Delhi. For this purpose, multi-layer feed-forward neural network (MLFFNN), support vector machine (SVM), random forest ...
Environmental Monitoring Air Pollutants Air Pollution Particulate Matter Deep Learning Benzene Machine Learning
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PM2.5 forecasting for an urban area based on deep learning and decomposition method.

Scientific reports Oct 20, 2022
Rapid growth in industrialization and urbanization have resulted in high concentration of air pollutants in the environment and thus causing severe air pollution. Excessive emission of particulate matter to ambient air has negatively impacted the hea...
Air Pollutants Air Pollution Particulate Matter Forecasting Deep Learning Humans Neural Networks, Computer
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Air Quality Index prediction using an effective hybrid deep learning model.

Environmental pollution (Barking, Essex : 1987) Oct 11, 2022
Environmentalism has become an intrinsic part of everyday life. One of the greatest challenge to the environment's long-term existence is the air pollution. Delhi, the capital of India, has experienced decreasing of air quality for several years. The...
Air Pollution Particulate Matter Deep Learning Environmental Monitoring Forecasting Humans
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Machine learning and deep learning modeling and simulation for predicting PM2.5 concentrations.

Chemosphere Sep 6, 2022
Particulate matter (PM) pollution greatly endanger human physical and mental health, and it is of great practical significance to predict PM concentrations accurately. This study measured one-year monitoring data of six main meteorological parameters...
Deep Learning Environmental Monitoring Air Pollutants Particulate Matter Humans Machine Learning
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Extraction of multi-scale features enhances the deep learning-based daily PM forecasting in cities.

Chemosphere Aug 30, 2022
Characterising the daily PM2.5 concentration is crucial for air quality control. To govern the status of the atmospheric environment, a novel hybrid model for PM2.5 forecasting was proposed by introducing a two-stage decomposition technology of compl...
Particulate Matter Environmental Monitoring Air Pollution Deep Learning Cities
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Generating a long-term (2003-2020) hourly 0.25° global PM dataset via spatiotemporal downscaling of CAMS with deep learning (DeepCAMS).

The Science of the total environment Jul 31, 2022
Generating a long-term high-spatiotemporal resolution global PM dataset is of great significance for environmental management to mitigate the air pollution concerns worldwide. However, the current long-term (2003-2020) global reanalysis dataset Coper...
Particulate Matter Deep Learning Air Pollutants Atmosphere Environmental Monitoring Air Pollution
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Enhancing PM Prediction Using NARX-Based Combined CNN and LSTM Hybrid Model.

Sensors (Basel, Switzerland) Jun 11, 2022
In a world where humanity's interests come first, the environment is flooded with pollutants produced by humans' urgent need for expansion. Air pollution and climate change are side effects of humans' inconsiderate intervention. Particulate matter of...
Air Pollution Particulate Matter Neural Networks, Computer Algorithms Humans
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