DOI QR코드

DOI QR Code

A Study on Optimization of Thermophysiological Indices for Harbor Workers in Summer: Improvement of MENEX Model's Input Data Considering the Work Environment

하계 항만열환경지수 최적화 방안연구: 항만작업환경을 반영한 MENEX모델의 입력변수 개선

  • Yun, Jinah (Division of Earth Environmental System, Pusan National University) ;
  • Hwang, Mi-Kyoung (Department of Atmospheric Sciences, Pusan National University) ;
  • Kim, Yoo-Keun (Department of Atmospheric Sciences, Pusan National University)
  • 윤진아 (부산대학교 지구환경시스템학부) ;
  • 황미경 (부산대학교 대기환경과학과) ;
  • 김유근 (부산대학교 대기환경과학과)
  • Received : 2016.04.06
  • Accepted : 2016.05.04
  • Published : 2016.07.31

Abstract

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.

Keywords

References

  1. Blazejczyk, K., 2002, Role of air circulation and local factors for climate and bioclimate of Warsaw agglomeration, Dokumentacja Geograficzna, 26, 162.
  2. Blazejczyk, K., 2005, MENEX_2005, The updated version of man-environment heat exchange model, http://www.igipz.pan.pl/tl_files/igipz/ZGiK/opracowania/indywidualne/blazejczyk/MENEX_2005.pdf.
  3. Blazejczyk, K., 2011, Assessment of regional bioclimatic contrasts in Poland, MGRSD, 15, 79-91.
  4. Busan Regional Office of Meteorology, 2014, Development of thermal environmental information in Busan port, Report, No. 11-1360072-000090-01, Institute for Research & Industry Cooperation, PNU, Busan.
  5. Choi, G. Y., Choi, J. N., Kwon, H. J., 2005, The impact of high apparent temperature on the increase of summertime disease-related mortality in seoul: 1991-2000, J. Prev. Med. Public Health, 38(3), 283-290.
  6. CRED, 2015, http://www.emdat.be/disaster_list/
  7. Conti, S., Meli, P., Minelli, G., Solimini, R., Toccaceli, V., Vichi, M., Beltrano, C., Perini, L., 2005, Epidemiologic study of mortality during the summer 2003 heat wave in Italy, Environ. Res., 98(3), 390-399. https://doi.org/10.1016/j.envres.2004.10.009
  8. Epstein, Y., Moran, D. S., 2006, Thermal comfort and the heat stress indices, Ind. Health, 44(3), 388-398. https://doi.org/10.2486/indhealth.44.388
  9. Fanger, P. O., 1970, Thermal comfort, Danish Technical Press, Copenhagen.
  10. Hwang, M. K., Yun, J. A., Kim, H. S., Kim, Y. J., Lim, Y. J., Lee, Y. M., Kim, Y. N., Yoon, E. K., Kim, Y. K., 2016, Heat stress assessment and development of its forecast system to provide thermophysiological indices for harbor workers in summer, J. Environ. Health Sci., 42(2), 92-101.
  11. Inoue, Y., Kondo, N., 2013, Body temperature II, Kyomunsa Publishing CO., Japan.
  12. IPCC (Qin, D., Plattner, G. K., Tignor, M., Allen, S. K., Boschung, J., Nauels et al.), 2014, Climate change 2013: The physical science basis, T. Stocker (Ed.). Cambridge, UK, and New York: Cambridge University Press.
  13. ISO 7243, 1989, Hot environments - Estimation of the heat stress on working man, based on the WBGT-index, ISO, Geneva, Switzerland.
  14. ISO 8996, 2004, Ergonomics - determination of metabolic heat production, ISO, Geneva, Switzerland.
  15. Kim, Y. J., Kim, H. S., Kim, Y. K., Kim, J. K., Kim, Y. M., 2014, Evaluation of thermal environments during the heat waves of summer 2013 in Busan metropolitan area, J. Environ. Sci. Int., 23(11), 1929-1941. https://doi.org/10.5322/JESI.2014.23.11.1929
  16. Lee, D. G., Byon, J. Y., Choi, Y. J., Kim, K. R., 2010, Relationship between summer heat stress(perceived temperature) and daily excess mortality in Seoul during 1911-2005, J. KOSAE, 26(3), 253-264. https://doi.org/10.5572/KOSAE.2010.26.3.253
  17. Masan pilot's, 2016, http://www.mspilot.co.kr/masan_habor.asp
  18. Matzarakis, A., Mayer, H., 1997, Heat stress in Greece, Int. J. Biometeorol., 41(1), 34-39. https://doi.org/10.1007/s004840050051
  19. Park, J. K., Jung, W. S., Song, J. H., Kim, E. B., 2008, Study on the examination and revision about the standard level of the extreme heat watch warning system for reduction of personal or property injury, J. Korean Soc. Hazard Mitig., 89-92.
  20. Smoyer, K. E., Rainham, D. G., Hewko, J. N., 2000, Heat-stress-related mortality in five cities in Southern Ontario: 1980 1996, Int. J. Biometeorol., 44(4), 190-197. https://doi.org/10.1007/s004840000070
  21. Watkins, S. M., 1984, Clothing: The portable environment, Ames, IA: Iowa State University Press.
  22. Weisskopf, M. G., Anderson, H. A., Foldy, S., Hanrahan, L. P., Blair, K., Torok, T. J., Rumm, P. D., 2002, Heat wave morbidity and mortality, Milwaukee, Wis, 1999 vs 1995: An improved response?, Am. J. Public health, 92(5), 830-833. https://doi.org/10.2105/AJPH.92.5.830
  23. Xiang, J., Bi, P., Pisaniello, D., Hansen, A., 2014, The impact of heatwaves on workers health and safety in Adelaide, South Australia, Environ. Res., 133, 90-95. https://doi.org/10.1016/j.envres.2014.04.042
  24. Yaglou, C. P., Minaed, D., 1957, Control of heat casualties at military training centers, Arch. Indust. Health, 16(4), 302-16.