Artificial intelligence technologies for forecasting air pollution and human health: a narrative review

S Subramaniam, N Raju, A Ganesan, N Rajavel… - Sustainability, 2022 - mdpi.com
Air pollution is a major issue all over the world because of its impacts on the environment
and human beings. The present review discussed the sources and impacts of pollutants on …

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 …

Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia

Y Kang, H Choi, J Im, S Park, M Shin, CK Song… - Environmental …, 2021 - Elsevier
Abstract In East Asia, air quality has been recognized as an important public health problem.
In particular, the surface concentrations of air pollutants are closely related to human life …

Modelling and investigating the impacts of climatic variables on ozone concentration in Malaysia using correlation analysis with random forest, decision tree …

AL Balogun, A Tella - Chemosphere, 2022 - Elsevier
Climate change is generally known to impact ozone concentration globally. However, the
intensity varies across regions and countries. Therefore, local studies are essential to …

Progress of ship exhaust gas control technology

J Zhao, Q Wei, S Wang, X Ren - Science of the Total Environment, 2021 - Elsevier
Ship emissions problems caused by the rapid development of maritime trade can't be
ignored. The NO X, SO X, CO 2, PM and other toxic substances contained in the exhaust gas …

Estimating daily full-coverage near surface O3, CO, and NO2 concentrations at a high spatial resolution over China based on S5P-TROPOMI and GEOS-FP

Y Wang, Q Yuan, T Li, L Zhu, L Zhang - ISPRS Journal of Photogrammetry …, 2021 - Elsevier
Abstract The Near Surface Concentrations (NSC) of O 3, CO, and NO 2 are crucial
worldwide indicators of air quality. However, current frameworks devised for the estimation …

Spatial assessment of PM10 hotspots using random forest, K-nearest neighbour and Naïve Bayes

A Tella, AL Balogun, N Adebisi, S Abdullah - Atmospheric Pollution …, 2021 - Elsevier
Spatial modelling and analysis can assist in improving the decision-making process of
mitigating bad air quality. One of Malaysia's most harmful air pollutants is particulate matter …

Smart multi-sensor system for remote air quality monitoring using unmanned aerial vehicle and LoRaWAN

R Camarillo-Escobedo, JL Flores, P Marin-Montoya… - Sensors, 2022 - mdpi.com
Deaths caused by respiratory and cardiovascular diseases have increased by 10%. Every
year, exposure to high levels of air pollution is the cause of 7 million premature deaths and …

Natural and human factors influencing urban particulate matter concentrations in central heating areas with long-term wearable monitoring devices

C Zhang, Y Hu, MD Adams, M Liu, B Li, T Shi… - Environmental Research, 2022 - Elsevier
In northern China, central heating, as an important source of urban particulate matter (UPM),
causes more than half of the air pollution during the heating season and has significant …

A hybrid integrated deep learning model for predicting various air pollutants

W Mao, L Jiao, W Wang, J Wang, X Tong… - GIScience & Remote …, 2021 - Taylor & Francis
Air pollution is a significant urban issue, with practical applications for pollution control,
urban environmental management planning, and urban construction. However, owing to the …