To prevent increasing instances of heat-related illnesses due to heat waves generated by climate change, a customized thermal environment index should be developed for outdoor workers. In this study, we conducted sensitivity analysis of the Masan harbor during a heat wave period (August 9th to 15th, 2013) using the MENEX model with metabolic rate and clothing-insulation data, in order to obtain realistic information about the thermal environment. This study shows that accurate input data are essential to gather information for thermophysiological indices (PST, DhR, and OhR). PST is sensitive to clothing insulation as a function of clothing. OhR is more sensitive to clothing insulation during the day and to the metabolic rate at night. From these results, it appears that when exposed to high-temperature thermal environments in summer, wearing highly insulated clothing and getting enough rest (to lower the metabolic rate) can aid in preventing heat-related illnesses. Moreover, in the case of high-intensity harbor work, quantification of allowed working time (OhR) during heat waves is significant for human health sciences.

Abstract
 1. 서 론
 2. 자료 및 연구방법
  2.1. 대상지역과 기상학적 특성
  2.2. MENEX 모델 개요 및 항만열환경지수
  2.3. MENEX 모델 입력자료
 3. 결 과
  3.1. 신진대사율 민감도 분석
  3.2. 의류절연 민감도 분석
 4. 고 찰
 5. 결 론
 REFERENCES

• 윤진아(부산대학교 지구환경시스템학부, Division of Earth Environmental System, Pusan National University) | Jinah Yun
• 황미경(부산대학교 대기환경과학과, Department of Atmospheric Sciences, Pusan National University) | Mi-Kyoung Hwang
• 김유근(부산대학교 대기환경과학과, Department of Atmospheric Sciences, Pusan National University) | Yoo-Keun Kim Corresponding author