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Ambient thermal comfort analysis for four major cities in Thailand, Cambodia, and Laos: Variability, trend, factor attribution, and large-scale climatic influence

Kimhong Chea^a,b, Kasemsan Manomaiphiboon^a,b,*, Nishit Aman^a,b, Sirichai Thepa^c, Agapol Junpen^a,b, Bikash Devkota^a,b

 
ABSTRACT:     Characterizion of ambient thermal comfort using a standard heat index (HI) was performed for Bangkok, Chiang Mai, Phnom Penh, and Vientiane, with data covering 37 and 17 years for the first two and last two cities, respectively. HI was lower during the night and the early morning but high in the afternoon in both the dry and the wet seasons. Its diurnality showed a tendency to be more influenced by temperature than by relative humidity. The daily maximum heat index (DMHI) was the highest in April–May due to both warm and humid conditions, but was the lowest in December–January due to cool dry air. Among the five considered risk DMHI levels, “extreme caution” occurred the most often for the majority of the months, and “danger” occurrence tended to increase in April–June. Low-latitude cities (i.e., Bangkok and Phnom Penh) showed less pronounced diurnality and seasonality due to their proximity to the Equator and large water bodies. Increasing trends in seasonal DMHI average were found in Bangkok, Chiang Mai, and Vientiane; while decreasing trends in Phnom Penh were found in both seasons. The trends in seasonal DMHI extremes were consistent with those of the seasonal DMHI average in terms of direction (except Bangkok). Polynomial regression modeling, developed for trend factor attribution, suggests more influence of humidity than of temperature for most trends. Partial correlation analysis indicates seasonal DMHI average to be more associated with El Niño-Southern Oscillation than with the Indian Ocean Dipole.

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* Corresponding author, E-mail: kasemsan.jgsee@gmail.com

Received 26 Nov 2020, Accepted 14 Apr 2021