AIMC Topic: Ozone

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Cooperative simultaneous inversion of satellite-based real-time PM and ozone levels using an improved deep learning model with attention mechanism.

Environmental pollution (Barking, Essex : 1987) Mar 24, 2023
Ground-level fine particulate matter (PM) and ozone (O) are air pollutants that can pose severe health risks. Surface PM and O concentrations can be monitored from satellites, but most retrieval methods retrieve PM or O separately and disregard the s...
Deep Learning Air Pollution Ozone Particulate Matter China Environmental Monitoring Air Pollutants
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Deep learning mapping of surface MDA8 ozone: The impact of predictor variables on ozone levels over the contiguous United States.

Environmental pollution (Barking, Essex : 1987) Mar 24, 2023
The limited number of ozone monitoring stations imposes uncertainty in various applications, calling for accurate approaches to capturing ozone values in all regions, particularly those with no in-situ measurements. This study uses deep learning (DL)...
Air Pollution Ozone Environmental Monitoring Air Pollutants Deep Learning United States
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Estimation of surface ozone concentration over Jiangsu province using a high-performance deep learning model.

Journal of environmental sciences (China) Oct 4, 2022
Recently, the global background concentration of ozone (O) has demonstrated a rising trend. Among various methods, groun-based monitoring of O concentrations is highly reliable for research analysis. To obtain information on the spatial characteristi...
Air Pollutants Deep Learning Ozone Air Pollution China Environmental Monitoring
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Contributions of meteorology to ozone variations: Application of deep learning and the Kolmogorov-Zurbenko filter.

Environmental pollution (Barking, Essex : 1987) Aug 11, 2022
From hourly ozone observations obtained from three regions⸻Houston, Dallas, and West Texas⸻we investigated the contributions of meteorology to changes in surface daily maximum 8-h average (MDA8) ozone from 2000 to 2019. We applied a deep convolutiona...
Environmental Monitoring Air Pollutants Air Pollution Deep Learning Ozone Meteorology
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New Deep Learning Model to Estimate Ozone Concentrations Found Worrying Exposure Level over Eastern China.

International journal of environmental research and public health Jun 11, 2022
Ozone (O3), whose concentrations have been increasing in eastern China recently, plays a key role in human health, biodiversity, and climate change. Accurate information about the spatiotemporal distribution of O3 is crucial for human exposure studie...
Ozone Deep Learning China Environmental Monitoring Air Pollutants Air Pollution Humans
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Feature selection for global tropospheric ozone prediction based on the BO-XGBoost-RFE algorithm.

Scientific reports Jun 2, 2022
Ozone is one of the most important air pollutants, with significant impacts on human health, regional air quality and ecosystems. In this study, we use geographic information and environmental information of the monitoring site of 5577 regions in the...
Algorithms Ecosystem Support Vector Machine Humans Bayes Theorem Ozone
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Causal discovery of drivers of surface ozone variability in Antarctica using a deep learning algorithm.

Environmental science. Processes & impacts Mar 23, 2022
The discovery of causal structures behind a phenomenon under investigation has been at the heart of scientific inquiry since the beginning. Randomized control trials, the gold standard for causal analysis, may not always be feasible, such as in the d...
Climate Antarctic Regions Deep Learning Ozone
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Asthma-prone areas modeling using a machine learning model.

Scientific reports Jan 21, 2021
Nowadays, owing to population growth, increasing environmental pollution, and lifestyle changes, the number of asthmatics has significantly increased. Therefore, the purpose of our study was to determine the asthma-prone areas in Tehran, Iran conside...
Asthma Male Adolescent Child Environmental Monitoring Machine Learning Iran Air Pollutants Carbon Monoxide Ozone Humans Humidity Female Air Pollution Vehicle Emissions Particulate Matter Nitrogen Dioxide Temperature Environmental Exposure Sulfur Dioxide
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A novel soft sensor based warning system for hazardous ground-level ozone using advanced damped least squares neural network.

Ecotoxicology and environmental safety Aug 22, 2020
Estimation of hazardous air pollutants in the urban environment for maintaining public safety is a significant concern to mankind. In this paper, we have developed an efficient air quality warning system based on a low-cost and robust ground-level oz...
Atmosphere Algorithms Cities Environmental Monitoring Neural Networks, Computer Taiwan Ozone Air Pollutants Least-Squares Analysis Air Pollution Seasons
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Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advance.

Neural networks : the official journal of the International Neural Network Society Sep 28, 2019
In this study, we use a deep convolutional neural network (CNN) to develop a model that predicts ozone concentrations 24 h in advance. We have evaluated the model for 21 continuous ambient monitoring stations (CAMS) across Texas. The inputs for the C...
Meteorology Time Factors Forecasting Humans Air Pollutants Wind Environmental Monitoring Neural Networks, Computer Air Pollution Deep Learning Ozone
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