Effects of sulfur dioxide inhalation on human health: a review

EM Khalaf, MJ Mohammadi, S Sulistiyani… - Reviews on …, 2024 - degruyter.com
Sulfur dioxide (SO2) is one of the most important gaseous air pollutants and the chemical
index of sulfur oxides (SOx). SO2 is one of the six criteria pollutants in the air quality index …

A review of the inter-correlation of climate change, air pollution and urban sustainability using novel machine learning algorithms and spatial information science

AL Balogun, A Tella, L Baloo, N Adebisi - Urban Climate, 2021 - Elsevier
Air pollution is a global geo-hazard with significant implications, including deterioration of
health and premature death. Climatic variables such as temperature, rainfall, wind, and …

A deep learning approach for prediction of air quality index in a metropolitan city

R Janarthanan, P Partheeban… - Sustainable Cities and …, 2021 - Elsevier
Abstract In India, the Central and State Pollution Control Boards have commissioned the
National Air Monitoring Program (NAMP) which covers 240 cities with 342 monitoring …

Effective air quality prediction using reinforced swarm optimization and bi-directional gated recurrent unit

S Gurumoorthy, AK Kokku, P Falkowski-Gilski… - Sustainability, 2023 - mdpi.com
In the present scenario, air quality prediction (AQP) is a complex task due to high variability,
volatility, and dynamic nature in space and time of particulates and pollutants. Recently …

Air pollution forecasting application based on deep learning model and optimization algorithm

A Heydari, M Majidi Nezhad, D Astiaso Garcia… - Clean Technologies and …, 2022 - Springer
Air pollution monitoring is constantly increasing, giving more and more attention to its
consequences on human health. Since Nitrogen dioxide (NO 2) and sulfur dioxide (SO 2) …

[HTML][HTML] Multi-step forecast of PM2. 5 and PM10 concentrations using convolutional neural network integrated with spatial–temporal attention and residual learning

K Zhang, X Yang, H Cao, J Thé, Z Tan, H Yu - Environment International, 2023 - Elsevier
Accurate and reliable forecasting of PM 2.5 and PM 10 concentrations is important to the
public to reasonably avoid air pollution and for the governmental policy responses …

Prediction of air quality index using machine learning techniques: a comparative analysis

NS Gupta, Y Mohta, K Heda, R Armaan… - … and Public Health, 2023 - Wiley Online Library
An index for reporting air quality is called the air quality index (AQI). It measures the impact
of air pollution on a person's health over a short period of time. The purpose of the AQI is to …

Indoor particulate matter in urban households: sources, pathways, characteristics, health effects, and exposure mitigation

L Zhang, C Ou, D Magana-Arachchi… - International Journal of …, 2021 - mdpi.com
Particulate matter (PM) is a complex mixture of solid particles and liquid droplets suspended
in the air with varying size, shape, and chemical composition which intensifies significant …

Development of air quality monitoring (AQM) models using different machine learning approaches

C Amuthadevi, DS Vijayan… - Journal of Ambient …, 2021 - Springer
Air Quality assessment and forecasting are the essentials today and they attracted many
researchers. Environmental organizations regularly monitor and predict the air contaminants …

Time series analysis and forecasting of air pollutants based on prophet forecasting model in Jiangsu province, China

A Hasnain, Y Sheng, MZ Hashmi, UA Bhatti… - Frontiers in …, 2022 - frontiersin.org
Due to recent developments in the global economy, transportation, and industrialization, air
pollution is one of main environmental issues in the 21st century. The current study aimed to …