| Autor: |
Kumharn, Wilawan, Sudhibrabha, Sumridh, Hanprasert, Kesrin, Janjai, Serm, Masiri, Itsara, Buntoung, Sumaman, Pattarapanitchai, Somjet, Wattan, Rungrat, Homchampa, Choedtrakool, Srimaha, Terathan, Pilahome, Oradee, Nissawan, Waichaya, Jankondee, Yuttapichai |
| Zdroj: |
Modeling Earth Systems and Environment; February 2024, Vol. 10 Issue: 1 p1273-1280, 8p |
| Abstrakt: |
Particulate matter (PM2.5) pollutants are a significant health issue impacting human health. To monitor hourly PM2.5 data, ground-based and satellite data are essential. This work aims to improve the hourly PM2.5 model obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data over Northeastern Thailand in 2020. In addition, an innovative combination of MODIS was developed to fulfill all missing aerosol optical depth (AOD) data before being applied to the model. A Linear mixed-effects (LME) model was utilized, and a 10- fold cross-validation was addressed for validation. It was found that hourly PM2.5 data from the models gave R2> 0.70. Interestingly, PM2.5 data along the Mekong River area were higher than in the plain area. The finding can infer that the monsoon wind brings polluted air into the region. The results will help analyze air pollution-related health studies. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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