A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
[HTML][HTML] Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction
Cities are not only major contributors to global climate change but also stand at the forefront
of climate change impact. Quantifying and assessing the risk potentially induced by climate …
of climate change impact. Quantifying and assessing the risk potentially induced by climate …
Spatial estimation of urban air pollution with the use of artificial neural network models
A Alimissis, K Philippopoulos, CG Tzanis… - Atmospheric …, 2018 - Elsevier
The deterioration of urban air quality is considered worldwide one of the primary
environmental issues and scientific evidence associates the exposure to ambient air …
environmental issues and scientific evidence associates the exposure to ambient air …
A test of environmental Kuznets curve for haze pollution in China: Evidence from the penal data of 27 capital cities
G Du, S Liu, N Lei, Y Huang - Journal of Cleaner Production, 2018 - Elsevier
The mounting environmental crisis, especially the large-scale and continuous haze
pollution, is the most pressing challenge for China during rapid urbanization process. This …
pollution, is the most pressing challenge for China during rapid urbanization process. This …
Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2. 5 forecasting
PY Kow, YS Wang, Y Zhou, IF Kao, M Issermann… - Journal of Cleaner …, 2020 - Elsevier
The fine particulate matter (eg PM 2.5) gains an increasing concern of human health
deterioration. Modelling PM 2.5 concentrations remains a substantial challenge due to the …
deterioration. Modelling PM 2.5 concentrations remains a substantial challenge due to the …
Explore spatio-temporal PM2. 5 features in northern Taiwan using machine learning techniques
The complex mixtures of local emission sources and regional transportations of air
pollutants make accurate PM2. 5 prediction a very challenging yet crucial task, especially …
pollutants make accurate PM2. 5 prediction a very challenging yet crucial task, especially …
A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition …
Modelling air quality with a practical tool that produces real-time forecasts to mitigate risk to
public health continues to face significant challenges considering the chaotic, non-linear …
public health continues to face significant challenges considering the chaotic, non-linear …
Hourly PM2. 5 concentration forecast using stacked autoencoder model with emphasis on seasonality
Accurate PM 2.5 forecasting provides a possibility for establishing an early warning system
to notify the public and take precautionary measures to prevent negative effects on ambient …
to notify the public and take precautionary measures to prevent negative effects on ambient …
Acute health impacts of the Southeast Asian transboundary haze problem—A review
Air pollution has emerged as one of the world's largest environmental health threats, with
various studies demonstrating associations between exposure to air pollution and …
various studies demonstrating associations between exposure to air pollution and …
Development of Multiple Linear Regression for Particulate Matter (PM10) Forecasting during Episodic Transboundary Haze Event in Malaysia
S Abdullah, NNLM Napi, AN Ahmed, WNW Mansor… - Atmosphere, 2020 - mdpi.com
Malaysia has been facing transboundary haze events every year in which the air contains
particulate matter, particularly PM10, which affects human health and the environment …
particulate matter, particularly PM10, which affects human health and the environment …