Quantification of Human Thermal Risks During Ambient Temperature Steps Based on Fuzzy Comprehensive Evaluation
Source abstract
Abstract
Occupational workers in hot environments face heat strain during temperature up-steps and cardiovascular strain during temperature down-steps. However, existing thermal risk evaluation models primarily focus on heat strain, neglecting potential risk after large temperature down-steps. This study employs a comprehensive multi-indicator approach to assess both heat strain and cardiovascular strain. Method: Six physiological and psychological parameters were selected for evaluation indexes, and four levels of thermal risk were established. Then trigonometric membership functions were proposed to determine the membership degrees related to the evaluation grades. Combined with the entropy weight method, a fuzzy comprehensive evaluation model was developed to assess thermal health risk levels. Results: Results indicated that core temperature, heart rate, and mean skin temperature are important physiological factors for assessing heat strain, while thermal sensation and perceived exertion also contribute significantly. The variation in blood pressure is relevant to cardiovascular strain. The developed model can distinguish the effects of temperature step magnitude and clothing thermal resistance on heat strain. A temperature difference of 40°C (from 40°C to 0°C) leads to a moderate level of cardiovascular strain and a 24% probability of high cardiovascular strain risk. Conclusions: These findings underscore the significance of transitional spaces and appropriate clothing choices in mitigating thermal risks and promoting human health and comfort in environments with substantial temperature variations.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Thermoregulation and physiological responses · Climate Change and Health Impacts · Sleep and Work-Related Fatigue
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Fashion and Design, Donghua University, Shanghai, China
Suzhou Institute of Trade & Commerce, Suzhou, China
Key Laboratory of Clothing Design and Technology, Donghua University, Ministry of Education, Shanghai, China
Funding
Financial support received from Fundamental Research Funds for the Central Universities · International Cooperation Fund of Science and Technology Commission of Shanghai Municipality
References (42)
Show source-provided references
1. 10.1016/j.buildenv.2015.07.03210.1016/j.buildenv.2015.07.032 ↗
2. 10.1080/00140139.2017.135507210.1080/00140139.2017.1355072 ↗
3. 10.1016/j.buildenv.2016.11.03810.1016/j.buildenv.2016.11.038 ↗
4. 10.1002/cphy.c14005110.1002/cphy.c140051 ↗
5. 10.1152/ajpregu.1998.275.1.R12910.1152/ajpregu.1998.275.1.R129 ↗
6. 10.1097/00005768-200209000-0000910.1097/00005768-200209000-00009 ↗
7. 10.1016/S0019-9958(65)90241-X10.1016/S0019-9958(65)90241-X ↗
8. 10.1016/j.csite.2020.10061810.1016/j.csite.2020.100618 ↗
9. 10.1007/s00477-021-01995-110.1007/s00477-021-01995-1 ↗
10. 10.1155/2017/907370610.1155/2017/9073706 ↗
11. 10.1016/j.jtherbio.2020.10253110.1016/j.jtherbio.2020.102531 ↗
12. 10.1016/j.jtherbio.2021.10307410.1016/j.jtherbio.2021.103074 ↗
13. 10.1016/j.enbuild.2016.12.06010.1016/j.enbuild.2016.12.060 ↗
14. 10.1016/j.jtherbio.2021.10293310.1016/j.jtherbio.2021.102933 ↗
15. 10.1016/j.buildenv.2021.10833810.1016/j.buildenv.2021.108338 ↗
16. 10.1093/eurheartj/ehv02310.1093/eurheartj/ehv023 ↗
17. 10.1038/s41440-020-0421-510.1038/s41440-020-0421-5 ↗
18. 10.1016/j.jpeds.2019.09.07010.1016/j.jpeds.2019.09.070 ↗
19. 10.3109/07420528.2012.71996110.3109/07420528.2012.719961 ↗
20. 10.1177/0040517522110101210.1177/00405175221101012 ↗
21. 10.1016/j.jtherbio.2004.08.02410.1016/j.jtherbio.2004.08.024 ↗
22. 10.1016/j.jtherbio.2014.12.00710.1016/j.jtherbio.2014.12.007 ↗
23. 10.1016/0013-9351(67)90002-310.1016/0013-9351(67)90002-3 ↗
24. 10.1016/S0736-4679(01)00457-710.1016/S0736-4679(01)00457-7 ↗
25. 10.1016/j.buildenv.2020.10744710.1016/j.buildenv.2020.107447 ↗
26. 10.1177/004051752092879210.1177/0040517520928792 ↗
27. 10.1016/j.buildenv.2018.12.06310.1016/j.buildenv.2018.12.063 ↗
28. 10.1113/JP27953710.1113/JP279537 ↗
29. 10.1016/j.physbeh.2015.06.01410.1016/j.physbeh.2015.06.014 ↗
30. Wilson D. Ability of physiological strain index to discriminate between sustainable and unsustainable heat stress. Master’s Thesis, University of South Florida, Tampa, FL, 2017.
31. 10.1016/S0378-7788(97)00017-010.1016/S0378-7788(97)00017-0 ↗
32. 10.1016/j.buildenv.2018.05.00910.1016/j.buildenv.2018.05.009 ↗
33. Chinese Hypertension Prevention and Treatment Guidelines Revision Committee · 2018
34. 10.1161/HYPERTENSIONAHA.109.14079810.1161/HYPERTENSIONAHA.109.140798 ↗
35. 10.1016/j.buildenv.2012.07.00610.1016/j.buildenv.2012.07.006 ↗
36. Li N. · 2011
37. 10.1016/j.buildenv.2022.10951210.1016/j.buildenv.2022.109512 ↗
38. 10.1016/j.jsams.2021.04.00610.1016/j.jsams.2021.04.006 ↗
39. 10.1080/0014013810892483110.1080/00140138108924831 ↗
40. 10.1016/j.buildenv.2019.04.00410.1016/j.buildenv.2019.04.004 ↗
41. 10.1161/HYPERTENSIONAHA.122.1919010.1161/HYPERTENSIONAHA.122.19190 ↗
42. 10.1007/s00421-009-1176-510.1007/s00421-009-1176-5 ↗