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Algorithm for Data Processing from Ozone Lidar Sensing in the Atmosphere
AbstractWe developed an algorithm of software product for processing the data from lidar sensing at the wavelengths of 299/341 nm for a vertical path...
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Comparison of the 2011 and 2020 Stratospheric Ozone Events at Arctic and Northern Eurasian Latitudes Using TEMIS and Aura MLS Data
AbstractWinters-springs 2019–2020 and 2010–2011 became the periods of the severest ozone events in the Arctic throughout the satellite era. They...
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An Influence Factors of Ozone Pollution Based on BP Neural Network
In view of the complex causes of urban ozone pollution and the difficulty in its reduction measures, a method to determine the influencing factors of...
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Using Deep Transformer Based Models to Predict Ozone Levels
Ozone (O3) is an air pollutant that has harmful effects in human health when its concentration exceeds a certain level. Therefore, it is important to...
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Data fusion of atmospheric ozone remote sensing Lidar according to deep learning
This article aims to realize the combined application of satellite remote sensing data and Lidar data fusion of atmospheric ozone in the ozone...
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Predicting Ozone Pollution in Urban Areas Using Machine Learning and Quantile Regression Models
Ozone is the most harmful secondary pollutant in terms of negative effects on climate change and human health. Predicting ozone emission levels has...
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An integrated framework for predicting air quality index using pollutant concentration and meteorological data
Everyone wishes to lead a healthy life, but the tremendous increase in air pollution affects our lives. The current tools can give updates on the Air...
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Construction and Application of Air Pollutant Concentration Prediction Model Based on Multivariate
For many years, as humans wreak havoc on nature, there are fewer and fewer vegetation on the earth, natural disasters have become more frequent, and...
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An Ensemble Deep Learning Algorithm to Predict PM2.5 Concentration Levels in Bengaluru’s Atmosphere
For the past few years, the air quality in Bengaluru has been hazardous. Particulate Matter 2.5 Air Quality Index (PM2.5 AQI) is the measure of air...
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A Low-Cost Air Quality Monitoring IoT System Using Node MCU: A Novel Approach
Air pollution is currently the world’s most dangerous threat to the environment and public health and has a detrimental effect on the ecosystem,...
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A Hybrid Model for the Prediction of Air Pollutants Concentration, Based on Statistical and Machine Learning Techniques
In large cities, the health of the inhabitants and the concentrations of particles smaller than 10 and 2.5...
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Hourly prediction of PM2.5 concentration in Bei**g based on Bi-LSTM neural network
The concentration of PM 2.5 is closely related to air, environmental quality and human health. In this study, an hourly prediction method of PM 2.5 ...
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Forecasting of Carbon Monoxide Concentration Based on Sequence-to-Sequence Deep Learning Approach
Carbon monoxide (CO) is one of the dangerous air pollutants due to its negative impact on human health. Therefore, accurate forecasting of CO...
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Analysis of Potential Factors Influencing Ground-Level Ozone Concentrations in Chinese Cities
Based on Geodetector model, this study adopted the 2016 O3 concentration data, meteorological factor data and anthropogenic emissions data to explore...
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Noise and Ozone Continuous Monitoring in an Industrial Urban Area of Northeastern Portugal
The major environmental pressures associated with urban centers are noise and air pollution, making its monitoring of utmost importance to evaluate...
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Research on Ozone Prediction Based on Genetic Neural Network for Multi-city Collaboration
Aiming at the problems of low prediction accuracy of traditional ozone prediction models, a BP neural network model based on genetic algorithm is...
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Investigation of Air Effluence Using IoT and Machine Learning
Air pollution poses a significant issue in numerous cities worldwide, impacting public health and the environment. We study three significant cities...
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An IoT Integrated Air Quality Monitoring Device Based on Microcomputer Technology and Leading Industry Low-Cost Sensor Solutions
Indoor and outdoor air quality monitoring is essential for the prevention of undesired exposure to air pollutants, especially for sensitive groups....
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Spirometer with Automatic Disinfection
Given the increase in lung diseases in recent years, a turbine spirometer with semi-automatic disinfection and remote monitoring was designed and...