A bioclimatic index of human survival times in the Antarctic

Freitas, C. R. de; Symon, L. V.

doi:10.1017/s0032247400008354

Cited by 16 publications

(3 citation statements)

References 12 publications

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“…Information on thermal comfort is required for early warning against climate-related sickness, thermal stress and for planning for holidays, migration, tourism and building [14] [15] [17]- [20]. Thermal comfort is highly related to the occurrence of climate extremes, such as heat waves.…”

Section: Introductionmentioning

confidence: 99%

A Perspective of the Diurnal Aspect of Thermal Comfort in Nigeria

Eludoyin¹

2014

ACS

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It also examines the responses from 3600 sample population from tertiary institutions across Nigeria. Results indicated thermal stress in Nigeria, and showed that both heat and cold stress varied temporally and spatially (1200 -1500 Local Standard Time, LST as the most thermally uncomfortable period of the day, while before 0900 and around 2100 LST were more comfortable). The study showed that judgment on climate issues were often beclouded by religious or ignorant sentiments. Efficient coping strategies for thermal stress are generally lacking, being limited by poor education, financial capacity and inadequate government commitment to cater for the health effects of extreme climate conditions. The study concluded that Nigeria, which exemplifies many developing countries, is not yet prepared for the effect of future climate change. The study recommends climate education, improves health schemes for climate-related morbidity and improves greening of the urban environment.

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Section: Introductionmentioning

confidence: 99%

A Perspective of the Diurnal Aspect of Thermal Comfort in Nigeria

Eludoyin¹

2014

ACS

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“…Ranges of wind speed in persons height ( v ) or 10 m ( v 10 ), relative humidity ( RH ), and mean radiant temperature ( T mrt ) are indicated as far as documented in the original publications. Air temperature ranges have been taken from de Freitas and Grigorieva ( 2016 ) Δ T range [°C] Index Other ranges Reference − 25 ≤ T ≤ 35 Heat budget index (HEBIDEX) Skin temperature energy balance index (STEBIDEX) de Freitas ( 1985 ); de Freitas ( 1986 ); de Freitas and Symon ( 1987 ) − 40 ≤ T ≤ 40 Physiological strain (PhS), Subjective temperature index (STI) Blazejczyk ( 2005b ) Predicted mean vote—outdoors (PMV o ) Jendritzky and Nübler ( 1981 ) Physiological subjective temperature (PST) v ≤ 22 ms −1 Blazejczyk et al ( 2012 ); Blazejczyk and Matzarakis ( 2007 ) − 40 ≤ T ≤ 50 Perceived temperature (PT J ) Jendritzky et al ( 1979 ); Staiger et al ( 2012 ) − 50 ≤ T ≤ 50 Physiological equivalent temperature (PET) Höppe ( 1999 ); (Mayer and Höppe 1987 ) Universal thermal climate index (regression, look-up table version; UTCI app ) 0.5 ≤ v 10 ≤ 30.3 ms −1 , 5 ≤ RH ≤ 100%, − 30 ≤ T mrt – T ≤ 70 °C Bröde et al ( 2012 ); Jendritzky et al ( 2012 ) − 90 ≤ T ≤ 37 Thermal balance (balance version, see Appendix A in ESM 1 ; ThBal b ) Rusanov ( 1981 ) − 90 ≤ ...…”

Section: Resultsmentioning

confidence: 99%

Evaluation of thermal indices for their applicability in obstacle-resolving meteorology models

Fischereit

Schlünzen

2018

Int J Biometeorol

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A thermally comfortable design of outdoor spaces favors social interaction and outdoor activities and thus contributes to the overall well-being of urban dwellers. To assess such a design, obstacle-resolving models (ORM) combined with thermal indices may be used. This paper reviews existing thermal indices to identify those suitable for thermal comfort assessment with ORMs. For the identification, 11 criteria and six index features are derived from literature analysis focusing on the characteristics of human environmental heat exchange, of outdoor urban environments, and of ORMs. An air temperature weighted world population distribution is calculated to derive the minimal air temperature range; a thermal index should cover to be applicable to 95% of the world population. The criteria are applied to 165 thermal indices by reviewing their original publications. Results show that only four thermal indices are suitable to be applied globally in their current form to various outdoor urban environments and also fulfill the requirements of ORMs. The evaluation of the index features shows that they differ with respect to the comprehensiveness of the thermophysiological model, the assessed human response, the treatment of clothing and activity, and the computational costs. Furthermore, they differ in their total application frequency in past ORM studies and in their application frequency for different climatic zones, as a systematic literature analysis of thermal comfort studies employing ORMs showed. By depicting the differences of the thermal indices, this paper provides guidance to select an appropriate thermal index for thermal comfort studies with ORMs.Electronic supplementary materialThe online version of this article (10.1007/s00484-018-1591-6) contains supplementary material, which is available to authorized users.

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“…Some examples of this from Russia include Budyko and Cicenko (1960), Aizenshtat (1965), Tikhomirov (1968 and Rusanov (1989). Comparable examples from the West include Burton and Edholm (1955), Dubos 1965, Williams et al (1967), Fanger (1970, , , de Freitas and Symon (1987), de Freitas and Ryken (1989), and Höppe (1999).…”

Section: Study Areamentioning

confidence: 99%

The Acclimatization Thermal Strain Index (ATSI): a preliminary study of the methodology applied to climatic conditions of the Russian Far East

Freitas

Grigorieva

2009

Int J Biometeorol

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Travel to distant places where the climate is different to that at home involves a period of short-term acclimatization adjustment following arrival during which the traveler might experience thermally-induced physiological strain. This may be expressed as an "acclimatization thermal loading" (ATL). The first signs of this show up in the respiratory organs. In the current study, the Acclimatization Thermal Strain Index (ATSI) is developed and used for assessment of ATL for recreational travel over a range of climatic conditions. ATSI estimates the impact of short-term acclimatization calculated as the ratio of a difference between respiratory heat losses at the traveler's home location to respiratory heat losses at the trip destination upon first arriving there. The Russian Far East region is used as a case study. The research focuses on the effects of travel from two locations in the study region. The results show that ATSI values can be significantly different when considering places of trip origin. For example, travel from Anadyr to other locations within the Russian Far East could lead to large ATSI in summer. In contrast, ATSI values are small for travel almost anywhere in the region during winter, but this is against a backdrop of extreme cold for the region as a whole. Here, the diversity of climatic conditions of both heat and cold means short-term adjustment to conditions could be stressful or worse for those who travel to participate in outdoor activities.

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A bioclimatic index of human survival times in the Antarctic

Cited by 16 publications

References 12 publications

A Perspective of the Diurnal Aspect of Thermal Comfort in Nigeria

A Perspective of the Diurnal Aspect of Thermal Comfort in Nigeria

Evaluation of thermal indices for their applicability in obstacle-resolving meteorology models

The Acclimatization Thermal Strain Index (ATSI): a preliminary study of the methodology applied to climatic conditions of the Russian Far East

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