Literature DB >> 30280212

Valuation of the human thermal discomfort index for the five Brazilian regions in the period of El Niño-Southern Oscillation (ENSO).

Fernanda Rodrigues Diniz1, Clara Miho Narukawa Iwabe1,2, Marina Piacenti-Silva3,4.   

Abstract

Brazil is an extensive country with five administrative regions that have different climates, mainly due to their geographic locations. The El Niño-Southern Oscillation influences the regime of temperature and precipitation of the Brazilian regions, which can directly affect the thermal discomfort of the population. The objective of this study was to evaluate the human thermal discomfort index (HDI) in the five regions of Brazil for El Niño, La Niña, and neutral years from 1979 to 2017, as well as the influence of the degree of intensity of the Pacific Ocean anomaly in the thermal conditions of the Brazilian regions. Monthly data on air temperature and dewpoint temperature obtained from the ERA-Interim reanalysis were used. The HDI was calculated using specific equations. The results were analyzed by means of composition fields. From the results, it was possible to conclude that the El Niño and La Niña phenomena influence the HDI of the Brazilian regions. El Niño increases the discomfort due to the heat and the La Niña causes them to decrease. This study is important since these phenomena, by influencing thermal conditions, directly affect the well-being and health of the Brazilian population.

Entities:  

Keywords:  Brazil; El Niño-Southern Oscillation; Human thermal discomfort

Mesh:

Year:  2018        PMID: 30280212     DOI: 10.1007/s00484-018-1622-3

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  6 in total

1.  [Temperature modifications in shantytown environments and thermal discomfort].

Authors:  Edelci Nunes da Silva; Helena Ribeiro
Journal:  Rev Saude Publica       Date:  2006-08       Impact factor: 2.106

2.  Sensible climates in monsoon Asia.

Authors:  H S Ono; T Kawamura
Journal:  Int J Biometeorol       Date:  1991-06       Impact factor: 3.787

Review 3.  Review of the physiology of human thermal comfort while exercising in urban landscapes and implications for bioclimatic design.

Authors:  Jennifer K Vanos; Jon S Warland; Terry J Gillespie; Natasha A Kenny
Journal:  Int J Biometeorol       Date:  2010-02-15       Impact factor: 3.787

4.  Predicting urban outdoor thermal comfort by the Universal Thermal Climate Index UTCI--a case study in Southern Brazil.

Authors:  Peter Bröde; Eduardo L Krüger; Francine A Rossi; Dusan Fiala
Journal:  Int J Biometeorol       Date:  2011-05-22       Impact factor: 3.787

Review 5.  Skin temperature: its role in thermoregulation.

Authors:  A A Romanovsky
Journal:  Acta Physiol (Oxf)       Date:  2014-03       Impact factor: 6.311

6.  P - value, a true test of statistical significance? A cautionary note.

Authors:  Tukur Dahiru
Journal:  Ann Ib Postgrad Med       Date:  2008-06
  6 in total

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