Government departments use the air quality index (AQI) to inform public about how unhealthy is now or may become in future. As AQI increases, so do health threats. In addition reporting daily quality, it also a measure of pollution impacts one’s over limited period time. The was created assist people understanding local affects their health. Therefore, aim this study assess one day 253 towns Ni...

Falling back past few years rapid progress in Air pollution has become a life-threatening concern many nations throughout the world due to human activity, industrialisation, and urbanisation.. As result of these activities, sulphur oxides, carbon dioxide (CO2), nitrogen monoxide (CO), chlorofluorocarbons (CFC), lead, mercury, other pollutants be emitted into atmosphere. Simultaneously, estimati...

The 2019 coronavirus disease (COVID-19) global pandemic spread can be considered a disastrous crisis that, in given geographical area, significantly affects the increase mortality rate with direct and indirect impacts on different scales social, economic, political, ecological factors. effects of this more intense urban areas high population density. Due to significant presence vulnerable group...

In this paper we present a model based on computational intelligence and natural language generation for the automatic of textual summaries from numerical data series, aiming to provide insights which help users understand relevant information hidden in data. Our includes fuzzy temporal ontology with references addresses problem managing imprecise knowledge, is series. We fully describe real us...

In order to realize the accurate prediction of spatial-temporal air quality index, this paper constructs a STAQI model based on deep learning, including data processing, spatial feature acquisition, temporal and prediction. Firstly, interpolation method is used optimize sample set provide reliable data; improved graph convolutional network long short-term memory are effectively extract distribu...

Aerosol Optical Depth (AOD), quantifying the amount of aerosol in atmosphere, is widely regarded as a crucial indicator for research on atmospheric physics and regional air quality. At present, inversion AOD from observation satellite remote sensing sensors has become main technology large-scale monitoring load. The Huaihai Economic Zone connecting belt two key areas governance (the Yangtze Riv...

Particulate matter (PM) air pollution is associated with atherosclerotic cardiovascular disease. While the biological processes that link PM exposure to disease may also trigger arrhythmias, there are limited data on association of ventricular arrhythmias. The high levels as a consequence 2020 U.S. wildfires provide unique opportunity explore effects cardiac physical activity, and heart failure...

Indoor air pollution in buildings puts people at risk of developing respiratoryand cardiovascular diseases. Particulate matter (PM) exposure is known tocause these health issues. Preliminary efforts were made this study to assessthe quantity and quality PM1.0, PM2.5, PM10 present an abattoir aresidential building northern Nigeria. Canree A1 low-cost sensor was used tomonitor the locations, 8 ho...