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Short-term changes in thermal perception associated with heatwave conditions in Melbourne, Australia

  • Cho Kwong Charlie Lam
  • Ailie J.E. Gallant
  • Nigel J. Tapper
Original Paper

Abstract

Variations in human thermal perception have been described on timescales from minutes to seasons. However, the effect of weather-related thermal extremes on inter-daily changes to outdoor thermal perception has not been well characterised. This study used human thermal comfort data from an outdoor botanic garden in sub-urban Melbourne, Australia as a case study. We examined inter-daily variations in local visitors’ thermal perception before (11–12 January 2014) and after (18–19 January 2014) a severe heatwave from 14 to 17 January 2014, when daily maximum temperature exceeded 41 °C for 4 consecutive days. We compared thermal comfort survey results (pre-heatwave: n = 342, post-heatwave: n = 294) with air temperature and the Universal Thermal Climate Index (UTCI) measurements. Even though the days preceding and following the heatwave had a similar range in temperature (19–25 °C) and UTCI (26–32 °C), the visitors felt cooler in the days following the heatwave (i.e. lower thermal sensation votes). In the 2 days following the heatwave, visitors also wore less clothing compared with before the heatwave. Our results show that the thermal perception of visitors changed significantly following their exposure to the heatwave, even after controlling for changes in clothing choices and the ages of survey participants. Psychological adaptation to heat (such as thermal history and expectation) might be one of the possible explanations for this inter-daily variability of local visitors’ thermal perception.

Notes

Acknowledgements

The authors acknowledge the CRC for Water Sensitive Cities and the Royal Botanic Garden (RBG) Victoria for their support, as well as the volunteers from the RBG Victoria and Monash University for conducting the surveys. We thank Dr. Margaret Loughnan for her support in designing and implementing the survey. In addition, we would like to thank Dr. Lynette Pretorious, Basil Cahusac de Caux, Cuong Huu Hoang, and Ricky Lau, for helpful discussions during the preparation of this manuscript.

Funding information

This study has approval from the Monash University Human Research Ethics Committee—project number CF13/3260-2013001699. This study is financially supported by the National Natural Science Foundation of China (Grant No. 51478486) and the National Natural Science Foundation—Outstanding Youth Foundation (Grant No. 41622502) as well as the Science and Technology Program of Guangzhou, China (Grant No. 201607010066).

References

  1. Ainsworth BE et al (2011) 2011 compendium of physical activities: a second update of codes and MET values. Med Sci Sports Exerc 43:1575–1581CrossRefGoogle Scholar
  2. ASHRAE (2001) ASHRAE fundamentals handbook 2001, SI edn. American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Atlanta, GA, USAGoogle Scholar
  3. ASHRAE (2010) Thermal Environmental Conditions for Human Occupancy. ASHRAE, Atlanta, GAGoogle Scholar
  4. Baranowska M, Gabryl B (1981) Biometeorological norm as tolerance interval of man to weather stimuli. Int J Biometeorol 25:123–126.  https://doi.org/10.1007/BF02184459 CrossRefGoogle Scholar
  5. Becker S, Potchter O, Yaakov Y (2003) Calculated and observed human thermal sensation in an extremely hot and dry climate. Energy Build 35:747–756.  https://doi.org/10.1016/S0378-7788(02)00228-1 CrossRefGoogle Scholar
  6. Bi P et al (2011) The effects of extreme heat on human mortality and morbidity in Australia: implications for public health. Asia Pac J Public He 23:27S–36S.  https://doi.org/10.1177/1010539510391644 CrossRefGoogle Scholar
  7. Blatteis CM (2012) Age-dependent changes in temperature regulation—a mini review. Gerontology 58:289–295CrossRefGoogle Scholar
  8. Błażejczyk K et al (2010) Principles of the new Universal Thermal Climate Index (UTCI) and its application to bioclimatic research in European scale Miscellanea. Geographica 14:91–102Google Scholar
  9. Blazejczyk K, Epstein Y, Jendritzky G, Staiger H, Tinz B (2012) Comparison of UTCI to selected thermal indices. Int J Biometeorol 56:515–535.  https://doi.org/10.1007/s00484-011-0453-2 CrossRefGoogle Scholar
  10. Bröde P, Krüger EL, Rossi FA, Fiala D (2012) Deriving the operational procedure for the Universal Thermal Climate Index (UTCI). Int J Biometeorol 56:481–494.  https://doi.org/10.1007/s00484-011-0452-3 CrossRefGoogle Scholar
  11. Coutts AM, White EC, Tapper NJ, Beringer J, Livesley SJ (2016) Temperature and human thermal comfort effects of street trees across three contrasting street canyon environments. Theor Appl Climatol 124:55–68.  https://doi.org/10.1007/s00704-015-1409-y CrossRefGoogle Scholar
  12. Culjat B, Erskine R (1988) Climate-responsive social space: a Scandinavian perspective. In: Manty J, Pressman N (eds) Cities designed for winter. Building Book Ltd., Helsinki, Finland, pp 347–363Google Scholar
  13. de Dear R, Brager G, Cooper D (1997) Developing an adaptive model of thermal comfort and preference: final report ASHRAE RP-884. The American Society of Heating, Refrigerating and Air Conditioning Engineers, Inc., Atlanta, GAGoogle Scholar
  14. de Dear RJ, Brager GS (1998) Developing an adaptive model of thermal comfort and preference, ASHRAE Trans 104:145–167Google Scholar
  15. Gosling S et al (2014) A glossary for biometeorology. Int J Biometeorol 58:277–308.  https://doi.org/10.1007/s00484-013-0729-9 CrossRefGoogle Scholar
  16. Halawa E, van Hoof J (2012) The adaptive approach to thermal comfort: a critical overview. Energy Build 51:101–110.  https://doi.org/10.1016/j.enbuild.2012.04.011 CrossRefGoogle Scholar
  17. Hanna EG, Tait PW (2015) Limitations to thermoregulation and acclimatization challenge human adaptation to global warming. Int J Env Res Public Health 12:8034–8074CrossRefGoogle Scholar
  18. ISB Commission 6 (2014) UTCI Universal Thermal Climate Index documents. ISB Commission 6. http://www.utci.org/utci_doku.php. Accessed 23 June 2015
  19. ISO (2005) ISO 7730: moderate thermal environment—determination of the PMV and PPD indices and specification of the conditions for thermal comfort. International Organization for Standardization, GenevaGoogle Scholar
  20. Jendritzky G, Dear R, Havenith G (2012) UTCI—why another thermal index? Int J Biometeorol 56:421–428.  https://doi.org/10.1007/s00484-011-0513-7 CrossRefGoogle Scholar
  21. Ji W, Cao B, Geng Y, Zhu Y, Lin B (2017) Study on human skin temperature and thermal evaluation in step change conditions: from non-neutrality to neutrality. Energy Build 156:29–39.  https://doi.org/10.1016/j.enbuild.2017.09.037 CrossRefGoogle Scholar
  22. Johansson E, Thorsson S, Emmanuel R, Krüger E (2014) Instruments and methods in outdoor thermal comfort studies—the need for standardization. Urban Climate 10(Part 2):346–366.  https://doi.org/10.1016/j.uclim.2013.12.002 CrossRefGoogle Scholar
  23. Kántor N, Kovács A, Lin T-P (2015) Looking for simple correction functions between the mean radiant temperature from the “standard black globe” and the “six-directional” techniques in Taiwan. Theor Appl Climatol 121:99–111.  https://doi.org/10.1007/s00704-014-1211-2 CrossRefGoogle Scholar
  24. Kántor N, Kovács A, Takács Á (2016) Seasonal differences in the subjective assessment of outdoor thermal conditions and the impact of analysis techniques on the obtained results. Int J Biometeorol 60:1615–1635.  https://doi.org/10.1007/s00484-016-1151-x CrossRefGoogle Scholar
  25. Koppe C, Sari Kovats R, Menne B, Jendritzky G (2004) Heat-waves: risks and responses. World Health Organization, CopenhagenGoogle Scholar
  26. Krüger EL, Tamura CA, Bröde P, Schweiker M, Wagner A (2017) Short- and long-term acclimatization in outdoor spaces: exposure time, seasonal and heatwave adaptation effects. Build Environ 116:17–29.  https://doi.org/10.1016/j.buildenv.2017.02.001 CrossRefGoogle Scholar
  27. Lam CKC, Gallant AJE, Tapper NJ (2018a) Perceptions of thermal comfort in heatwave and non-heatwave conditions in Melbourne, Australia. Urban Climate 23:204–218.  https://doi.org/10.1016/j.uclim.2016.08.006 CrossRefGoogle Scholar
  28. Lam CKC, Loughnan M, Tapper N (2018b) Visitors’ perception of thermal comfort during extreme heat events at the Royal Botanic Garden Melbourne. Int J Biometeorol 62:97–112.  https://doi.org/10.1007/s00484-015-1125-4 CrossRefGoogle Scholar
  29. Lenzholzer S, Klemm W, Vasilikou C (2016) Qualitative methods to explore thermo-spatial perception in outdoor urban spaces. Urban Climate.  https://doi.org/10.1016/j.uclim.2016.10.003
  30. Liu W, Huangfu H, Xiong J, Deng Q (2014) Feedback effect of human physical and psychological adaption on time period of thermal adaption in naturally ventilated building. Build Environ 76:1–9.  https://doi.org/10.1016/j.buildenv.2014.02.012 CrossRefGoogle Scholar
  31. Luo M, Cao B, Ouyang Q, Zhu Y (2016) Indoor human thermal adaptation: dynamic processes and weighting factors. Indoor Air 27:273–281CrossRefGoogle Scholar
  32. Matzarakis A, Rutz F, Mayer H (2010) Modelling radiation fluxes in simple and complex environments: basics of the RayMan model. Int J Biometeorol 54:131–139CrossRefGoogle Scholar
  33. Morgan C, de Dear R (2003) Weather, clothing and thermal adaptation to indoor climate. Clim Res 24:267–284CrossRefGoogle Scholar
  34. Nikolopoulou M, Baker N, Steemers K (2001) Thermal comfort in outdoor urban spaces: understanding the human parameter. Sol Energy 70:227–235.  https://doi.org/10.1016/S0038-092X(00)00093-1 CrossRefGoogle Scholar
  35. Nikolopoulou M, Lykoudis S (2006) Thermal comfort in outdoor urban spaces: analysis across different European countries. Build Environ 41:1455–1470.  https://doi.org/10.1016/j.buildenv.2005.05.031 CrossRefGoogle Scholar
  36. Nikolopoulou M, Steemers K (2003) Thermal comfort and psychological adaptation as a guide for designing urban spaces. Energy Build 35:95–101.  https://doi.org/10.1016/S0378-7788(02)00084-1 CrossRefGoogle Scholar
  37. Olesen BW, Dukes-Dubos FN (1988) International standards for assessing the effect of clothing on heat tolerance and comfort. In: Mansdorf SZ, Sager R, Nielson AP (eds) Performance of protective clothing. American Society for Testing Materials, Philadelphia, PA, pp 17–30Google Scholar
  38. Périard JD, Racinais S, Sawka MN (2015) Adaptations and mechanisms of human heat acclimation: applications for competitive athletes and sports. Scand J Med Sci Sports 25:20–38.  https://doi.org/10.1111/sms.12408 CrossRefGoogle Scholar
  39. Pandolf K (1998) Time course of heat acclimation and its decay. Int J Sports Med 19:S157–S160CrossRefGoogle Scholar
  40. Parkinson T, de Dear R, Candido C (2012) Perception of transient thermal environments: pleasure and alliesthesia. Paper presented at the 7th Windsor Conference. Conference: the changing context of comfort in an unpredictable world. Cumberland Lodge, Windsor, UK 12–15 April 2012Google Scholar
  41. Schiavon S, Lee KH (2013) Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures. Build Environ 59:250–260CrossRefGoogle Scholar
  42. Sheridan SC, Allen MJ (2015) Changes in the frequency and intensity of extreme temperature events and human health concerns. Current Climate Change Reports 1:155–162.  https://doi.org/10.1007/s40641-015-0017-3 CrossRefGoogle Scholar
  43. Sturman AP, Tapper NJ (2006) The weather and climate of Australia and New Zealand, 2nd edn. Oxford University Press, Melbourne, AustraliaGoogle Scholar
  44. Thorsson S, Lindberg F, Eliasson I, Holmer B (2007) Different methods for estimating the mean radiant temperature in an outdoor urban setting. Int J Climatol 27:1983–1993.  https://doi.org/10.1002/joc.1537 CrossRefGoogle Scholar
  45. Toy S, Yilmaz S (2010) Thermal sensation of people performing recreational activities in shadowy environment: a case study from Turkey. Theor Appl Climatol 101:329–343.  https://doi.org/10.1007/s00704-009-0220-z CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Atmospheric SciencesSun Yat-sen UniversityGuangzhouChina
  2. 2.Guangdong Province Key Laboratory for Climate Change and Natural Disaster StudiesSun Yat-sen UniversityGuangzhouChina
  3. 3.School of Earth, Atmosphere, and EnvironmentMonash UniversityClaytonAustralia
  4. 4.CRC for Water Sensitive CitiesMelbourneAustralia

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