Bangladesh is currently facing an intensifying heat wave crisis, with rising temperatures severely impacting health, agriculture, and daily life. This study focuses on the features and effects of heat wave episodes in Khulna city, Bangladesh, during the pre-monsoon and monsoon seasons. Seven significant heat wave events are simulated using the Weather Research and Forecasting (WRF) model between March and October. The data from the National Centers for Environmental Prediction (NCEP) have been used to determine the initial and lateral boundary conditions. The RayMan-Pro model is utilized to compute thermophysiological comfort indexes using the simulated data and observed data from the Bangladesh Meteorological Department (BMD). The study discusses determining the Physiological Equivalent Temperature (PET), Standard Effective Temperature (SET*), Universal Thermal Climate Index (UTCI), and Predicted Mean Vote (PMV) to evaluate human comfort levels under extreme heat conditions. The findings reveal that maximum observed and simulated temperatures (PET, SET*, UTCI, PMV) exceed 41 °C, with PMV reaching +5, indicating extraordinarily hot circumstances. The average feel-like temperature and humidity are also studied by the survey of open-ended and closed-ended questions, where the average feel-like temperature and humidity are noted as 43.42 °C and 88.12 %, respectively. These results underscore the effectiveness of the RayMan-Pro model in mimicking actual environmental conditions and computing the Human Comfort Index (HCI) over Khulna city. The thorough investigation provides valuable insights into the anticipated effects of heat waves in Khulna city, offering crucial guidance for developing proactive measures to safeguard public health and enhance heat wave preparedness.
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