Future daily PM10 concentrations prediction by combining regression models and feedforward backpropagation models with principle component analysis (PCA)
AZ Ul-Saufie, AS Yahaya, NA Ramli, N Rosaida… - Atmospheric …, 2013 - Elsevier
Future PM 10 concentration prediction is very important because it can help local authorities
to enact preventative measures to reduce the impact of air pollution. The aims of this study …
to enact preventative measures to reduce the impact of air pollution. The aims of this study …
Artificial neural networks and fuzzy time series forecasting: an application to air quality
The arising air pollution has addressed much attention globally due to its detrimental effects
on human health and environment. As an early warning system for air quality control and …
on human health and environment. As an early warning system for air quality control and …
[HTML][HTML] Assessment of Pm2. 5 patterns in Malaysia using the clustering method
Particulate matter is the parameter of most concern in air quality monitoring in Malaysia. This
study discusses the variations and clustering of PM2. 5 recorded from 2018 to 2019 at 65 …
study discusses the variations and clustering of PM2. 5 recorded from 2018 to 2019 at 65 …
Forecasting of air pollution index with artificial neural network
In recent years, the arisen of air pollution in urban area address much attention globally. The
air pollutants has emerged detrimental effects on health and living conditions. Time series …
air pollutants has emerged detrimental effects on health and living conditions. Time series …
Multifractal characterisation of particulate matter (PM10) time series in the Caribbean basin using visibility graphs
T Plocoste, R Carmona-Cabezas… - Atmospheric Pollution …, 2021 - Elsevier
A good knowledge of pollutant time series behavior is fundamental to elaborate strategies
and construct tools to protect human health. In Caribbean area, air quality is frequently …
and construct tools to protect human health. In Caribbean area, air quality is frequently …
[PDF][PDF] Extreme events of reactive ambient air pollutants and their distribution pattern at urban hotspots
ABSTRACTThe occurrence of extreme events of air pollutant concentrations at urban
hotspots is a routine phenomenon, particularly during the winter season. However, extreme …
hotspots is a routine phenomenon, particularly during the winter season. However, extreme …
[HTML][HTML] Ozone distributions and urban air quality during summer in Agra–a world heritage site
Unplanned urban and industrial growth and rise in population are the main factors that had
led to air pollution problems. Surface ozone causes human health problems and …
led to air pollution problems. Surface ozone causes human health problems and …
Quantifying Spatio-Temporal Dynamics of African Dust Detection Threshold for PM 10 Concentrations in the Caribbean Area Using Multiscale Decomposition
T Plocoste, L Euphrasie-Clotilde, R Calif… - Frontiers in …, 2022 - frontiersin.org
Due to African dust, the Caribbean area is known to have one of the highest incidences of
asthma on the planet. Consequently, it is crucial to dissociate the impact of local sources …
asthma on the planet. Consequently, it is crucial to dissociate the impact of local sources …
The statistical behavior of PM10 events over guadeloupean archipelago: Stationarity, modelling and extreme events
T Plocoste, R Calif, L Euphrasie-Clotilde, FN Brute - Atmospheric Research, 2020 - Elsevier
Environmental pollution management is one of the most important features in pollution risk
assessment. Several studies have shown that exposure to particulate matter with an …
assessment. Several studies have shown that exposure to particulate matter with an …
Screening Approach for Short-Term PM2.5 Health Co-Benefits: A Case Study from 15 Metropolitan Cities around the World during the COVID-19 Pandemic
Fifteen cities across the world have been selected to investigate the public health co-
benefits of PM2. 5 reduction, during a period when various non-pharmaceutical …
benefits of PM2. 5 reduction, during a period when various non-pharmaceutical …