Supervised Machine Learning Approaches for Predicting Key Pollutants and for the Sustainable Enhancement of Urban Air Quality: A Systematic Review
Urban air pollution is a pressing global issue driven by factors such as swift urbanization,
population expansion, and heightened industrial activities. To address this challenge, the …
population expansion, and heightened industrial activities. To address this challenge, the …
[PDF][PDF] PM2. 5 estimation using machine learning models and satellite data: A literature review
Most researchers are beginning to appreciate the use of remote sensing satellites to assess
PM2. 5 levels and use machine learning algorithms to automate the collection, make sense …
PM2. 5 levels and use machine learning algorithms to automate the collection, make sense …
[HTML][HTML] Data augmentation for bias correction in mapping PM2. 5 based on satellite retrievals and ground observations
T Mi, D Tang, J Fu, W Zeng, ML Grieneisen, Z Zhou… - Geoscience …, 2024 - Elsevier
As most air quality monitoring sites are in urban areas worldwide, machine learning models
may produce substantial estimation bias in rural areas when deriving spatiotemporal …
may produce substantial estimation bias in rural areas when deriving spatiotemporal …
Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and Machine Learning Methods
Y Yang, Z Wang, C Cao, M Xu, X Yang, K Wang… - Remote Sensing, 2024 - mdpi.com
Long-term exposure to high concentrations of fine particles can cause irreversible damage
to people's health. Therefore, it is of extreme significance to conduct large-scale continuous …
to people's health. Therefore, it is of extreme significance to conduct large-scale continuous …
[HTML][HTML] Satellite (GOSAT-2 CAI-2) retrieval and surface (ARFINET) observations of aerosol black carbon over India
Light-absorbing black carbon (BC) aerosols strongly affect Earth's radiation budget and
climate. This paper presents satellite retrieval of BC over India based on observations from …
climate. This paper presents satellite retrieval of BC over India based on observations from …
Differences in the Vertical Distribution of Aerosols, Nitrogen Dioxide, and Formaldehyde between Islands and Inland Areas: A Case Study in the Yangtze River Delta …
J Ou, Q Hu, C Xing, Y Zhu, J Feng, X Wang, X Ji, H Lin… - Remote Sensing, 2023 - mdpi.com
Due to the difference of industrialization degree and meteorological conditions, there are
obvious differences in the composition of air pollution between islands and inland areas …
obvious differences in the composition of air pollution between islands and inland areas …
Contrast in Secondary Organic Aerosols between the Present Day and the Preindustrial Period: The Importance of Nontraditional Sources and the Changed …
Y Yang, W Yang, X Chen, J Zhu, H Chen… - … in Atmospheric Sciences, 2024 - Springer
Quantifying differences in secondary organic aerosols (SOAs) between the preindustrial
period and the present day is crucial to assess climate forcing and environmental effects …
period and the present day is crucial to assess climate forcing and environmental effects …
Наукові основи системного підходу до зниження техногенного навантаження від промислових викидів на довкілля
ІС Козій - 2023 - essuir.sumdu.edu.ua
Дисертаційна робота присвячена розв'язанню наукової проблеми зниження рівня
техногенного навантаження на довкілля від промислових викидів, які містять …
техногенного навантаження на довкілля від промислових викидів, які містять …
[PDF][PDF] FC-MIDTR-WCCA: A Machine Learning Framework for PM2. 5 Prediction.
T Tu, Y Su, S Ren - IAENG International Journal of Computer Science, 2024 - iaeng.org
The rapid acceleration of urbanization and industrialization has led to a significant increase
in PM2. 5 pollution, making it a critical global concern. The accurate prediction of PM2. 5 …
in PM2. 5 pollution, making it a critical global concern. The accurate prediction of PM2. 5 …