Estimation of surface PM2.5 concentrations from atmospheric gas species retrieved from TROPOMI using deep learning: Impacts of fire on air pollution over Thailand

Author:

Son Rackhun,Stratoulias DimitrisORCID,Kim Hyun CheolORCID,Yoon Jin-HoORCID

Funder

Korea Meteorological Administration

Korea Environmental Industry and Technology Institute

National Research Foundation of Korea

NOAA

Ministry of Environment

Publisher

Elsevier BV

Subject

Atmospheric Science,Pollution,Waste Management and Disposal

Reference69 articles.

1. ETOPO1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis;Amante,2009

2. Prediction of PM2. 5 in an urban area of northern Thailand using multivariate linear regression model;Amnuaylojaroen;Adv. Meteorol.,2022

3. Tabnet: Attentive Interpretable Tabular Learning;Arık,2021

4. Photochemical model performance for PM2. 5 sulfate, nitrate, ammonium, and precursor species SO2, HNO3, and NH3 at background monitor locations in the central and eastern United States;Baker;Atmos. Environ.,2007

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