Improving the quantification of fine particulates (PM2. 5) concentrations in Malaysia using simplified and computationally efficient models

NAFK Zaman, KD Kanniah, DG Kaskaoutis… - Journal of Cleaner …, 2024 - Elsevier
Air pollution assessment in urban and rural areas is really challenging due to high spatio-
temporal variability of aerosols and pollutants and the uncertainties in measurements and …

How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using Machine Learning?

Z Tian, J Wei, Z Li - Remote Sensing, 2023 - mdpi.com
PM2. 5 refers to the total mass concentration of tiny particulates in the atmosphere near the
surface, obtained by means of in situ observations and satellite remote sensing. Given the …

Data level and decision level fusion of satellite multi-sensor AOD retrievals for improving PM2. 5 estimations, a study on Tehran

A Mirzaei, H Bagheri, M Sattari - Earth Science Informatics, 2023 - Springer
One of the techniques for estimating the surface particle concentration with a diameter of
fewer than 2.5 micrometers (PM2. 5) is using aerosol optical depth (AOD) products. Different …

Estimation of high-resolution PM2.5 concentrations based on gap-filling aerosol optical depth using gradient boosting model

M Han, S Jia, C Zhang - Air Quality, Atmosphere & Health, 2022 - Springer
Air pollution caused by fine particulate matter (PM2. 5) may affect people's health. At
present, aerosol optical depth (AOD) products have been used to estimate PM2. 5 …

PM2. 5 in Sri Lanka: Trend analysis, low-cost sensor correlations and spatial distribution

R Dhammapala, A Basnayake, S Premasiri… - Aerosol and Air Quality …, 2022 - aaqr.org
ABSTRACT The South Asian island nation of Sri Lanka did not have any permanent PM2. 5
monitors sharing data publicly in near-real-time until the US Embassy installed a Beta …

Estimating the spatiotemporal distribution of PM2. 5 concentrations in Tianjin during the Chinese Spring Festival: Impact of Fireworks Ban

Z Liu, K Zheng, S Bao, Y Cui, Y Yuan, C Ge… - Environmental …, 2024 - Elsevier
Abstract Setting off fireworks during the Spring Festival (SF) is a traditional practice in China.
However, because of its environmental impact, the Chinese government has banned this …

Semi-supervised urban haze pollution prediction based on multi-source heterogeneous data

Z Liu, L Wang - Heliyon, 2024 - cell.com
Particulate matter (PM) is defined by the Texas Commission on Environmental Quality
(TCEQ) as" a mixture of solid particles and liquid droplets found in the air". These particles …

Air pollution trends measured from MODIS and TROPOMI: AOD and CO over Pakistan

F Qayyum, S Tariq, Z Ul-Haq, U Mehmood… - Journal of Atmospheric …, 2022 - Springer
The TROPOMI (TROPOspheric monitoring instrument) onboard Sentinel-5 Precursor (S5P)
satellite provides high spatial resolution data of carbon monoxide (CO) while the MAIAC …

Deep Learning Sequence Models for Forecasting COVID-19 Spread and Vaccinations

S Guha, A Kodipalli - … Vision and Machine Intelligence: Proceedings of …, 2023 - Springer
Time series forecasting constitutes an important aspect of traditional machine learning
prediction problems. It includes analyzing historic time series data to make future predictions …

Estimation of respiratory disease burden attributed to particulate matter from biomass burning in northern Thailand using 1-km resolution MAIAC-AOD

A Hongthong, K Nanthapong… - Applied Environmental …, 2023 - ph01.tci-thaijo.org
The upper northern Thailand suffers from air pollution due to open burning, which has been
known for a long time. It was also found that different respiratory diseases were attributed to …