ESTIMATING PARTICULATE MATTER CONCENTRATION BY USING SATELLITE DATA OVER CENTRAL THAILAND
DOI:
https://doi.org/10.14456/jem.2022.8Keywords:
Aerosol Optical Depth (AOD), PM2.5, PM10, MODIS, VIIRSAbstract
The first objective of this study was to determine the relationship between particulate matter with aerodynamic diameter less than 2.5 micrometers (PM2.5) and particulate matter with aerodynamic diameter less than 10 micrometers (PM10) from stations of Pollution Control Department with Aerosol Optical Depth (AOD) on S-NPP satellite VIIRS sensor and Aqua satellite MODIS sensor. Daily PM2.5, PM10 and AOD data during January 2013 to December 2020. The results of the correlation analysis found that data from MODIS and VIIRS sensor related to PM2.5 and PM10 gave a correlation coefficient (R) similar value. The next objective was to create a model to estimate PM2.5 and PM10 used data from VIIRS sensor with meteorological data (Relative Humidity, Temperature and Wind speed). Multiple Linear Regression (MLR) and Geographically Weighted Regression (GWR) analyzes were performed found that the relationship between Estimated PM2.5 – Observed PM2.5 with MLR and GWR had R values in the range of 0.40-0.70 and 0.43-0.65 respectively with root mean square error (RMSR) in the range 11.97-17.71 µg/m3 and 11.83-15.80 µg/m3 respectively. And the relationship between Estimated PM10 – Observed PM10 with MLR and GWR had R values in the range of 0.56-0.76 and 0.57-0.76 respectively with root mean square error (RMSR) in the range 15.47-41.05 µg/m3 and 16.26-38.85 µg/m3 respectively.
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