Skip to main content

Advertisement

Log in

The physiologic climate of Nigeria

  • Original Paper
  • Published:
International Journal of Biometeorology Aims and scope Submit manuscript

Abstract

This study describes the spatial and temporal variations in the physiologic climate of Nigeria for 1951–2009 in terms of effective temperature (ET), temperature-humidity index (THI), relative strain index (RSI) and perception of 3,600 sampled populations. The main hypotheses are that (i) the existing vegetation-based ecological region could adequately elucidate the physiologic climate of the country, and (ii) physiologic stress has significantly increased over the years (1951–2009). Trends and changes in the selected indices (ET, THI and RSI) were examined over two time slices: 1951–1980 and 1981–2009. The results show that (1) the montane region was the most comfortable physiologic climate in Nigeria, and the regions around the Rivers Niger and Benue troughs were the most uncomfortable in most parts of the year, (2) physiologic stress in most parts of Nigeria has significantly increased in 1981–2009 over 1951–1980 (p ≤ 0.05), (3) coping strategies to the uncomfortably hot and cold climate in Nigeria are limited to dressing mode, clothing materials and use of air conditioners or fan, (4) ET, THI and RSI results could be similar, and complementary; but each is with its strengths and weaknesses for annual or seasonal representations, which the others complemented for the interpretation of the physiologic climate of Nigeria. The study concluded that the relationship between the ecological classification of Nigeria and physiologic climate is rather complex, and the former could not elucidate the latter. The study cited inadequate meteorological data, especially on wind chill, and health records as limiting factors of studies on the Nigerian physiologic climates and the effect of extreme thermal conditions on the people.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig 14

Similar content being viewed by others

References

  • Adebayo YR (1991) Considerations for climate-sensitive design in tropical Africa. Energ Build 15(1–2):15–21

    Google Scholar 

  • Adefolalu DO (1984) Weather hazards in Calabar-Nigeria. GeoJournal 9(4):359–368

    Article  Google Scholar 

  • Aggelakoudis A, Athanasiou M (2005) Thermal comfort study of occupants in University of Patras. International Conference on Passive and Low Energy Cooling for the Built Environment. May 2005, Santorini, Greece, pp 263–268

  • Ajibola K (1997) Ventilation of spaces in a warm, humid climate-Case study of some housing types. Renewable Energy 10(1):61–70

    Google Scholar 

  • Ajibola K (2001) Design for comfort in Nigeria-a bioclimatic approach. Renew Energ 23(1):57–76

    Article  Google Scholar 

  • Akinbode OM, Eludoyin AO, Fashae OA (2008) Temperature and relative humidity distributions in a medium-size administrative town in southwest Nigeria. J Environ Manag 87:95–105

    Article  CAS  Google Scholar 

  • Alessandro A, de Garín A (2003) A study on predictability of human physiological strain in Buenos Aires City. Meteorol Appl 10(3):263–271

    Article  Google Scholar 

  • Ayoade J (1978) Spatial and seasonal patterns of physiologic comfort in Nigeria. Theor Appl Climatol 26(4):319–337

    Google Scholar 

  • Bechhofer R (1960) A note on the limiting relative efficiency of the Wald sequential probability ratio test. J Amer Statist Assoc 660–663

  • Beck LR, Lobitz BM et al (2000) Remote sensing and human health: new sensors and new opportunities. Emerg Infect Dis 6(3):217

    Article  CAS  Google Scholar 

  • Boko M, Niang I, et al. (2007) Africa. Climate change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the fourth assessment report of the intergovernmental panel on climate change, IPCC, Geneva, pp 433–467

  • Boynton PM (2004) Administering, analysing, and reporting your questionnaire. BMJ 328(7452):1372

    Article  Google Scholar 

  • Boynton PM, Greenhalgh T (2004) Selecting, designing, and developing your questionnaire. BMJ 328(7451):1312

    Article  Google Scholar 

  • Bypass P (2009) Climate change and population health in Africa: where are the scientists? Global Health Action. doi:10.3402/gha.v2i0.2065

  • Carver RH, Nash JG (2005) Doing data analysis with SPSS. Thompson Learning Inc., Canada

    Google Scholar 

  • Dada FAO, Jibrin GM, Ijeoma A (2008) Macmillan Nigeria secondary atlas. Macmillian, Malaysia

    Google Scholar 

  • Eludoyin OM, Ogunode A, Eludoyin AO (2008) Characterisation of some bioclimate variables in the western region of Nigeria, p288–298. In: Akinnawo et al. Socio-economic policies and millennium development goals (MDGs) in Africa, Faculty of Social and Management Sciences, Adekunle Ajasin University, Ondo State, Nigeria, 508p

  • Eludoyin AO, Eludoyin OM, Oyinloye MA (2009) Monthly variations in the 1985–1994 and 1995–2004 rainfall distributions over five synoptic stations in western Nigeria. J Meteorol Clim Sci 7:11–22

    Google Scholar 

  • Evans M (1980) Housing, climate and comfort. The Architectural Press, London

    Google Scholar 

  • UNFPA (2007) The state of world population 2007: Unleashing the potential of urban growth. Fund United Nations Population, USA, pp 32

    Google Scholar 

  • Gan G (1994) Numerical method for a full assessment of indoor thermal comfort. Indoor Air 4(3):154–168

    Article  Google Scholar 

  • Giles BD, Balafoutis C et al (1990) Too hot for comfort: the heatwaves in Greece in 1987 and 1988. Int J Biometeorol 34(2):98–104

    Article  CAS  Google Scholar 

  • Gregorczuk M, Cena K (1967) Distribution of effective temperature over the surface of the earth. Int J Biometeorol 11(2):145–149

    Article  Google Scholar 

  • Gulyas A, Matzarakis A (2007) Selected examples of bioclimatic analysis applying the physiologically equivalent temperature in Hungary. Acta Climatologica Et Chorologica 40(41):37–46

    Google Scholar 

  • Holmér I (2004) Cold but comfortable? Application of comfort criteria to cold environments. Indoor Air 14:27–31

    Article  Google Scholar 

  • Iloeje NP (1965) A new geography of Nigeria. Longman, London

    Google Scholar 

  • Iloeje NP (1980) A new geography of West Africa. New revised edition. Longman, London

    Google Scholar 

  • SAS (1999) SAS user's guide, version 8.2. SAS Institute, Cary, NC

  • Iordache MC, Cebuc I (2009) Analysis of the impact of climate change on tourism in some European countries. Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi-Stiinte Economice 56:270–286

  • Jauregui E (1993) Urban bioclimatology in developing countries. Cell Mol Life Sci 49(11):964–968

    Article  CAS  Google Scholar 

  • Jauregui E (1997) The last Ms for 40th anniversary issue. Aspects of urban human biometeorology. Int J Biometeorol 40:58–61

    Article  CAS  Google Scholar 

  • Jáuregui E, Soto C (1967) Wet-bulb temperature and discomfort index areal distribution in Mexico. Int J Biometeorol 11(1):21–28

    Article  Google Scholar 

  • Jonsson P (2004) Vegetation as an urban climate control in the subtropical city of Gaborone, Botswana. Int J Climatol 24:1307–1322

    Article  Google Scholar 

  • Kalkstein LS (1991) A new approach to evaluate the impact of climate on human mortality. Environ Health Perspect 96:145

    Article  CAS  Google Scholar 

  • Kiang R, Adimi F et al (2006) Health applications in geospatial science. Geospatial Health 1(1):71–84

    Google Scholar 

  • Komolafe LK, Agarwal KN (1987) Climate zones and thermal standard for low-cost houses in Nigeria. In: Proceedings of International Conference on low-cost housing for developing countries 1:505–516

  • Kyle WJ (1994) The human bioclimate of Hong Kong. In Brazdil R, Kolar M (eds.) Contemporary Climatology, Proc. of COC/IGU Meeting, 15–20 August, 1994, Brno, Czech Republic, Masaryk University, Brno, Czech Republic, pp 345–350

  • Lee DHK (1953) Physiological climatology as a field of study. Annals of the Association of American Geographers 127–137

  • Levene H (1960) Robust tests for equality of variances. Contri Pro Stat 1:278–292

    Google Scholar 

  • Lin T, Ho T, Wang Y (2011) Mortality risk associated with temperature and prolonged temperature extremes in elderly populations in Taiwan. Environ Res 111:1156–1163

    Article  CAS  Google Scholar 

  • Marginson S, Wende M (2007) Globalisation and higher education. OECD, Paris

  • Martin CG, Games PA (1977) ANOVA tests for homogeneity of variance: Nonnormality and unequal samples. J Educ Behav Stat 2(3):187

    Article  Google Scholar 

  • Matzarakis A, Amelung B (2008) Physiological equivalent temperature as indicator for impacts of climate change on thermal comfort of humans. In: Thomson MC, Garcia-Herrera R, Beniston M (eds.) Seasonal forecasts, climatic change and human health, Springer, pp 161–172

  • Matzarakis A, Mayer H (1996) Another kind of environmental stress: thermal stress. Newsletters No 18, 7–10. WHO Collaborating Centre for Air Quality Management and Air Pollution Control, WHO, Geneva

  • Matzarakis A, Mayer H (2000) Atmospheric conditions and human thermal comfort in urban areas. In 11th Seminar on Environmental Protection, Environment and Health, Thessaloniki, Greece 153–166

  • Mayer H, Höppe P (1987) Thermal comfort of man in different urban environments. Theor Appl Climatol 38(1):43–49

    Article  Google Scholar 

  • McGregor GR, Nieuwolt S (1998) Tropical climatology: an introduction to the climates of the low latitudes. John Wiley & Sons Ltd

  • Nieuwolt S (1977) Tropical climatology: an introduction to the climates of the low latitudes. Wiley

  • Odekunle TO, Adejuwon SA (2007) Assessing the changes in the rainfall regime in Nigeria. Geojournal 70:145–159

    Article  Google Scholar 

  • Ogbonna A, Harris D (2008) Thermal comfort in sub-Saharan Africa: Field study report in Jos-Nigeria. Appl Energ 85(1):1–11

    Article  Google Scholar 

  • Ogundare BA, Sidiq OB (2010) Environmental implications of gas flaring in the Niger Delta region of Nigeria. J Geogr Plan Sci 3(2):31–40

    Google Scholar 

  • Ogunjimi LS, Oseni S, et al. (2008) Influence of temperature-humidity interaction on heat and moisture production in rabbit. Agricultural Engineering International, CIGR EJournal

  • Ogunsote OO, Prucnal-Ogunsote B (2002) Defining climatic zones for architectural design in Nigeria: a systematic delineation. J Environ Technol 1(2):1–14

    Google Scholar 

  • Olaniran O (1982) The physiological climate of Ilorin, Nigeria. Theor Appl Climatol 31(3):287–299

    Google Scholar 

  • Olowu D (1985) Local government and urban development in Nigeria In: Abiodun JO (Ed.), Urban and regional planning problems in Nigeria. University of Ife Press Ltd., Nigeria, pp 272–298

  • Parish OO, Putnam O (1977) Equations for the determination of humidity from dewpoint and psychrometric data. NASA

  • Parry ML (2007) Climate change 2007: impacts, adaptation and vulnerability: contribution of Working Group II to the fourth assessment report of the Intergovernmental Panel on Climate Change, Cambridge Univ Press

  • Peel C (1958) Thermal conditions in traditional mud dwellings in northern Nigeria. J Trop Med Hyg 61(8):189

    CAS  Google Scholar 

  • Peel C (1961) Thermal comfort zones in Northern Nigeria: an investigation into the physiological reactions of nursing students to the thermal environment. J Trop Med Hyg 64:113

    Google Scholar 

  • Simister J, Cooper C (2005) Thermal stress in the USA: effects on violence and on employee behaviour. Stress Health 21(1):3–15

    Article  Google Scholar 

  • Smith JB, Schneider SH et al (2009) Assessing dangerous climate change through an update of the Intergovernmental Panel on Climate Change (IPCC): reasons for concern. Proc Indian Natl Sci Acad Phys Sci 106(11):4133

    Article  CAS  Google Scholar 

  • Smoyer K (1998) A comparative analysis of heat waves and associated mortality in St. Louis, Missouri–1980 and 1995. Int J Biometeorol 42(1):44–50

    Article  CAS  Google Scholar 

  • Smoyer KE, Rainham DGC et al (2000) Heat-stress-related mortality in five cities in Southern Ontario: 1980–1996. Int J Biometeorol 44(4):190–197

    Article  CAS  Google Scholar 

  • Solomon S (2007) Climate Change 2007: the physical science basis: contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge Univ Press

  • Terjung WH (1966) Physiologic climates of the conterminous United States: a bioclimatic classification based on man. Ann Assoc Am Geogr 56(1):141–179

    Article  Google Scholar 

  • Terjung W (1967) The geographical application of some selected physio-climatic indices to Africa. Int J Biometeorol 11(1):5–19

    Article  Google Scholar 

  • Thorn EC (1959) The discomfort index. Weatherwise 12(2):57–60

    Article  Google Scholar 

  • Tout D (1980) The discomfort index, mortality and the London summers of 1976 and 1978. Int J Biometeorol 24(4):323–328

    Article  CAS  Google Scholar 

  • Turkes M, Sumer U, Kilic G (1995) Variations and trends in annual mean air temperatures in Turkey with respect to climatic variability. Int J Climatol 15:557–569

    Article  Google Scholar 

  • Unger J (1999) Comparisons of urban and rural bioclimatological conditions in the case of a Central-European city. Int J Biometeorol 43(3):139–144

    Article  CAS  Google Scholar 

  • White-Newsome JL, Sanchez BN, Jolliet O, Zhang Z, Parker EA, Dvonch JT, O’Neill MO (2011) Climate change and health: indoor heat exposure in vulnerable populations. Environ Res. doi:10.1016/j.envres.2011.10.008

  • Wolkoff P, Kjaergaard SK (2007) The dichotomy of relative humidity on indoor air quality. Environ Int 33:850–857

    Article  CAS  Google Scholar 

  • Wong NH, Khoo SS (2003) Thermal comfort in classrooms in the tropics. Energ Build 35(4):337–351

    Article  Google Scholar 

  • World Health Organisation (2011) Regional consultation on health of the urban. Proceedings of the 2010 Regional consultation of Mubai, India, Regional Office for South East Asia, UNFPA, p 82

  • Zaitchik BF, Macalady AK et al (2006) Europe's 2003 heat wave: a satellite view of impacts and land—atmosphere feedbacks. Int J Climatol 26(6):743–769

    Article  Google Scholar 

Download references

Acknowledgments

This study has benefited from the mapping and technical advice of Eludoyin Adebayo, Department of Geography, University of Exeter, UK; advise on statistics from Prof. Richard Webster and Dr. Alice Milne of the Department of Computational and Biomathematics, Rothamsted Research, Harpenden, United Kingdom; proof reading by Prof. Olusegun Ekanade, Department of Geography, Obafemi Awolowo University, Ile-Ife, Nigeria and Dr. Nymphas, Department of Physics, University of Ibadan, Nigeria. We also appreciate the two anonymous reviewers for their useful comments, and Adekunle Ajasin University, Akungba-Akoko, Nigeria for granting the first author the 2010 ETF/AAUA grant to seek statistical advice at the Rothamsted Research, Harpenden, Hertfordshire, UK.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Oyenike Mary Eludoyin.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Eludoyin, O.M., Adelekan, I.O. The physiologic climate of Nigeria. Int J Biometeorol 57, 241–264 (2013). https://doi.org/10.1007/s00484-012-0549-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00484-012-0549-3

Keywords

Navigation