Using machine learning methods to forecast air quality: A case study in Macao

TMT Lei, SWI Siu, J Monjardino, L Mendes, F Ferreira - Atmosphere, 2022 - mdpi.com
Despite the levels of air pollution in Macao continuing to improve over recent years, there
are still days with high-pollution episodes that cause great health concerns to the local …

Application of ANN, XGBoost, and other ml methods to forecast air quality in Macau

TMT Lei, SCW Ng, SWI Siu - Sustainability, 2023 - mdpi.com
Air pollution in Macau has become a serious problem following the Pearl River Delta's
(PRD) rapid industrialization that began in the 1990s. With this in mind, Macau needs an air …

Macao air quality forecast using statistical methods

MT Lei, J Monjardino, L Mendes, D Gonçalves… - Air Quality, Atmosphere …, 2019 - Springer
The levels of air pollution in Macao often exceeded the levels recommended by WHO. In
order for the population to take precautionary measures and avoid further health risks under …

[PDF][PDF] Evaluation of different machine learning approaches to forecasting PM2. 5 mass concentrations

H Karimian, Q Li, C Wu, Y Qi, Y Mo, G Chen… - Aerosol and Air Quality …, 2019 - aaqr.org
With the rapid growth in the availability of data and computational technologies, multiple
machine learning frameworks have been proposed for forecasting air pollution. However …

Statistical forecast of pollution episodes in Macao during national holiday and COVID-19

MT Lei, J Monjardino, L Mendes, D Gonçalves… - International Journal of …, 2020 - mdpi.com
Statistical methods such as multiple linear regression (MLR) and classification and
regression tree (CART) analysis were used to build prediction models for the levels of …

Application of machine learning in atmospheric pollution research: A state-of-art review

Z Peng, B Zhang, D Wang, X Niu, J Sun, H Xu… - Science of the Total …, 2023 - Elsevier
Abstract Machine learning (ML) is an artificial intelligence technology that has been used in
atmospheric pollution research due to their powerful fitting ability. In this review, 105 articles …

[HTML][HTML] Multi-output machine learning model for regional air pollution forecasting in Ho Chi Minh City, Vietnam

R Rakholia, Q Le, BQ Ho, K Vu, RS Carbajo - Environment international, 2023 - Elsevier
Air pollution concentrations in Ho Chi Minh City (HCMC) have been found to surpass the
WHO standard, which has become a very serious problem affecting human health and the …

The development and application of machine learning in atmospheric environment studies

L Zheng, R Lin, X Wang, W Chen - Remote Sensing, 2021 - mdpi.com
Machine learning (ML) plays an important role in atmospheric environment prediction,
having been widely applied in atmospheric science with significant progress in algorithms …

The influence of data length on the performance of artificial intelligence models in predicting air pollution

MK AlOmar, F Khaleel, AA AlSaadi… - Advances in …, 2022 - Wiley Online Library
Air pollution is one of humanity's most critical environmental issues and is considered
contentious in several countries worldwide. As a result, accurate prediction is critical in …

Air quality analysis and PM2.5 modelling using machine learning techniques: A study of Hyderabad city in India

A Mathew, PR Gokul, P Raja Shekar… - Cogent …, 2023 - Taylor & Francis
The rapid urbanization and industrialization in many parts of the world have made air
pollution a global public health problem. A study conducted by the Swiss organization IQAir …