แบบจำลองถดถอยถ่วงน้ำหนักเชิงพื้นที่และเวลา สำหรับการประมาณค่าฝุ่นละออง ขนาดไม่เกิน 2.5 ไมครอน (PM2.5) พื้นที่ประเทศไทย GEOGRAPHICALLY AND TEMPORALLY WEIGHTED REGRESSION MODELS FOR GROUND-LEVEL PM2.5 ESTIMATION IN THAILAND

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ศรัณย์ ปัญจะเรือง Saran Panjaruang
พิชญ์นรี ลลิตาภรณ์ Pichnaree Lalitaporn

Abstract

            This study aims to develop a geographically and temporally weighted regression (GTWR) model estimation for ground-level PM2.5 concentrations based on data from May 2014 to April 2019 in Thailand. The GTWR model was developed using aerosol optical depth (AOD) data, temperature (T), relative humidity (RH), wind speed (WS), and boundary layer height (BLH). The GTWR model can be defined by coefficient of determination (R2) 0.71, and root mean square error (RMSE) and mean absolute error (MAE) of 14.55 and 10.04 µg/m3, respectively, of the variability in ground-level PM2.5 concentrations. The correlation analysis indicates that PM2.5 has highest correlation with AOD and RH, followed by BLH, WS, and T, respectively. In addition, the GTWR test with measured data in dry season (April 2019), showed good performance more than wet season (October 2018) in model prediction with R2 of 0.76, RMSE of 18.32 µg/m3, and MAE of 14.20 µg/m3.

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How to Cite
Saran Panjaruang ศ. ป., & Pichnaree Lalitaporn พ. ล. . (2022). แบบจำลองถดถอยถ่วงน้ำหนักเชิงพื้นที่และเวลา สำหรับการประมาณค่าฝุ่นละออง ขนาดไม่เกิน 2.5 ไมครอน (PM2.5) พื้นที่ประเทศไทย GEOGRAPHICALLY AND TEMPORALLY WEIGHTED REGRESSION MODELS FOR GROUND-LEVEL PM2.5 ESTIMATION IN THAILAND. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 18(1), 36–53. https://doi.org/10.14456/jem.2022.3
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บทความวิจัย Research

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