PM2.5 modeling based on CALIPSO in Bangkok

Authors

  • Yuttapichai Jankondee Department of Physics, Sakon Nakhon Rajabhat University, Sakon Nakhon, 47000 Thailand
  • Wilawan Kumharn Department of Physics, Sakon Nakhon Rajabhat University, Sakon Nakhon, 47000 Thailand
  • Choedtrakoo Homchampa Department of Physics, Sakon Nakhon Rajabhat University, Sakon Nakhon, 47000 Thailand
  • Oradee Pilahome Department of Physics, Sakon Nakhon Rajabhat University, Sakon Nakhon, 47000 Thailand
  • Waichaya Nissawan Department of Physics, Sakon Nakhon Rajabhat University, Sakon Nakhon, 47000 Thailand

DOI:

https://doi.org/10.55674/cs.v16i3.257117

Keywords:

PM2.5, AOD, CALIPSO, Satellite data, Linear mixed effect

Abstract

Air quality has become a severe issue in Bangkok, mainly due to PM2.5 (fine particulate matter with particle size less than 2.5 μm). Aerosol optical depth (AOD) obtained for active satellite data has been widely used to estimate PM2.5 near the ground. Nevertheless, passive satellite data are rarely used to estimate PM2.5 near the ground. In this study, a total AOD in troposphere data achieved from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) was used to determine PM2.5 with climate parameters (Temperature (TEM), relative humidity (RH), wind speed (WS), boundary layer height (BLH), and the normalized difference vegetation index (NDVI) using Linear Mixed Effect Method (LMEM). It was found that the coefficient (R2) increases from model 1 (0.87) to model 6 (0.99), and the root mean square error (RMSE) reduces from 2.65 to 0.00 μg/m3. The best model gives an R2=0.99 (models 5 and 6). PM2.5 patterns between observed and predicted show similar representative patterns. Therefore, our study provides CALIPSO AOD data with a potentially helpful estimation of PM2.5.

GRAPHICAL ABSTRACT

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HIGHLIGHTS

  • PM2.5 concentrations were obtained using CALOPSO satellite data

  • PM2.5 model based on AOD, climate and other parameters
  • R2 of PM2.5 model obtained from the best model more than 0.99

References

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Published

2024-09-01

How to Cite

Jankondee, Y., Kumharn, W., Homchampa, C., Pilahome, O., & Nissawan, W. (2024). PM2.5 modeling based on CALIPSO in Bangkok . Creative Science, 16(3), 257117. https://doi.org/10.55674/cs.v16i3.257117

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Vol. 16 No. 3 (2024): Creative Science (September - December 2024)

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Research Article

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