AIMC Topic: Ozone
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Mobile Robot + IoT: Project of Sustainable Technology for Sanitizing Broiler Poultry Litter.
Sensors (Basel, Switzerland)
May 11, 2024
The traditional aviary decontamination process involves farmers applying pesticides to the aviary's ground. These agricultural defenses are easily dispersed in the air, making the farmers susceptible to chronic diseases related to recurrent exposure....
Unveiling the potential of machine learning in cost-effective degradation of pharmaceutically active compounds: A stirred photo-reactor study.
Chemosphere
May 5, 2024
In this study, neural networks and support vector regression (SVR) were employed to predict the degradation over three pharmaceutically active compounds (PhACs): Ibuprofen (IBP), diclofenac (DCF), and caffeine (CAF) within a stirred reactor featuring...
Stacking Machine Learning Models Empowered High Time-Height-Resolved Ozone Profiling from the Ground to the Stratopause Based on MAX-DOAS Observation.
Environmental science & technology
Apr 17, 2024
Ozone (O) profiles are crucial for comprehending the intricate interplay among O sources, sinks, and transport. However, conventional O monitoring approaches often suffer from limitations such as low spatiotemporal resolution, high cost, and cumberso...
Ultra-sensitive analysis of exhaled biomarkers in ozone-exposed mice via PAI-TOFMS assisted with machine learning algorithms.
Journal of hazardous materials
Mar 27, 2024
Ground-level ozone ranks sixth among common air pollutants. It worsens lung diseases like asthma, emphysema, and chronic bronchitis. Despite recent attention from researchers, the link between exhaled breath and ozone-induced injury remains poorly un...
Convolutional Neural Networks Facilitate Process Understanding of Megacity Ozone Temporal Variability.
Environmental science & technology
Mar 15, 2024
Ozone pollution is profoundly modulated by meteorological features such as temperature, air pressure, wind, and humidity. While many studies have developed empirical models to elucidate the effects of meteorology on ozone variability, they predominan...
High-spatial resolution ground-level ozone in Yunnan, China: A spatiotemporal estimation based on comparative analyses of machine learning models.
Environmental research
Mar 3, 2024
Monitoring ground-level ozone concentrations is a critical aspect of atmospheric environmental studies. Given the existing limitations of satellite data products, especially the lack of ground-level ozone characterization, and the discontinuity of gr...
Combining physical mechanisms and deep learning models for hourly surface ozone retrieval in China.
Journal of environmental management
Dec 26, 2023
As surface ozone (O) gains increasing attention, there is an urgent need for high temporal resolution and accurate O monitoring. By taking advantage of the progress in artificial intelligence, deep learning models have been applied to satellite based...
Investigation of spatiotemporal distribution and formation mechanisms of ozone pollution in eastern Chinese cities applying convolutional neural network.
Journal of environmental sciences (China)
Sep 11, 2023
Severe ground-level ozone (O) pollution over major Chinese cities has become one of the most challenging problems, which have deleterious effects on human health and the sustainability of society. This study explored the spatiotemporal distribution c...
Development of a recurrent spatiotemporal deep-learning method coupled with data fusion for correction of hourly ozone forecasts.
Environmental pollution (Barking, Essex : 1987)
Jul 30, 2023
Ambient ozone (O) predictions can be very challenging mainly due to the highly nonlinear photochemistry among its precursors, and meteorological conditions and regional transport can further complicate the O formation processes. The emission-based ch...
Synthesis of δ-MnO via ozonation routine for low temperature formaldehyde removal.
Journal of environmental sciences (China)
Apr 27, 2023
Nowadays, it is still a challenge to prepared high efficiency and low cost formaldehyde (HCHO) removal catalysts in order to tackle the long-living indoor air pollution. Herein, δ-MnO is successfully synthesized by a facile ozonation strategy, where ...
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