Heatwaves cause mortality and morbidity worldwide. Critically, it contributes to various detrimental impacts on sustainable development, human safety, and the environment, but policymakers and the public pay little attention. During the heatwave period from 2015 to 2018, El Nio Southern Oscillation (ENSO) generated dry and warm temperatures in Thailand, leading to 158 deaths during the heatwave period. This study examines spatial and temporal heatwave variability (number, duration, frequency, magnitude, and amplitude). We also analyze the heatwave in urban, peri-urban, and rural Thailand. The result revealed that land surface temperature (LST) as a proxy for air temperature in heatwave assessment with a high correlation at r = 0.62 (HWN) and 0.71 (HWF) and a moderate relationship r = 0.48 (HWD), 0.39 (HWM), and 0.40 (HWA), respectively. It has been associated with heatwave occurrences far from the methodological station, especially duration and frequency. Northern Bangkok and Pathum Thani have the highest daytime and overnight heatwave intensities. Ultimately, our findings help decision-makers, and the public comprehends descriptive spatiotemporal heatwave trends, helping them to cope with extreme weather situations and contributing to future heatwave forecasts over Thailand's provinces.
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DETECTING SPATIOTEMPORAL HEATWAVE IN URBAN, PERI-URBAN, AND RURAL AREAS OF THAILAND USING SATELLITE-BASED THERMAL ANOMALIES
Published: 16 November 2022 by MDPI in OHOW 2022 – The 1st International Symposium on One Health, One World session Climate Change and Green Recovery
https://doi.org/10.3390/ohow2022-13589 (registering DOI)
Keywords: Heatwaves, Climate Extremes, Air Temperature, Land Surface Temperature, MODIS, Thailand