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GIS Visualization of Climate Change and Prediction of Human Responses

Abstract

Estimation of heat stress based on WBGT (wet bulb globe temperature) index is widely accepted as international standard. The purpose of the present study was to provide tolerance limit for people and interventions required to protect individuals from the dangerous consequences of heat. The meteorological data collected from Indian Meteorological Department of Ahmedabad (2001–2011) was used for estimating the WBGT. Multiple regression analysis was used to explore relationship between variables dry bulb temperature (T a), wet bulb temperature (T wb), and globe temperature (T g) across the districts varied widely in two different seasons, i.e., summer and winter months. The linear regression analysis was applied for the purpose of future prediction, with respect to the WBGT index, and heat tolerance limit and visualized using GIS tool. The average tolerance time for 2001–2011 arrived at 82 ± 16 and 159 ± 36 min for the months of summer and winter, respectively. Thus, the WBGT and tolerance limit maps might prevail working population from heat stress fury.

Keywords

  • WBGT
  • Tolerance time
  • Heat stress
  • GIS
  • Prediction

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References

  • Bates GP, Miller VS (2008) Sweat rate and sodium loss during work in the heat. J Occup Med Toxicol 3:1–6

    CrossRef  Google Scholar 

  • Brooker S, Utzinger J (2007) Integrated disease mapping in a polyparasitic world. Geospat Health 1(2):141–146

    Google Scholar 

  • Calosi P, Bilton DT, Spicer JI (2008) Thermal tolerance, acclimatory capacity and vulnerability to global climate change. Biol Lett 4(1):99–102

    CrossRef  Google Scholar 

  • Davies CTM (1993) Thermal limits to severe prolonged exercise in man. J Therm Biol 18:605–607

    CrossRef  Google Scholar 

  • Davis RE, Kalkstein LS (1990) Development of an automated spatial synoptic climatological classification. Int J Climatol 10:769–794

    CrossRef  Google Scholar 

  • Gisolfi CV et al (1995) Effect of sodium concentration in a carbohydrate-electrolyte solution on intestinal absorption. Med Sci Sports Exerc 27:1414–1420

    CAS  CrossRef  Google Scholar 

  • Indian Council of Medical Research (2000) Ethical guidelines for biomedical research on human subject. ICMR, New Delhi, pp 1–77

    Google Scholar 

  • ISO 7243 (2003) Hot environments—estimation of the heat stress on working man, based on the WBGT-index (wet bulb globe temperature). International Standards Organization, Geneva

    Google Scholar 

  • ISO 7933 (1989) Hot environments—analytical determination and interpretation of thermal stress using calculation of required sweat rate index. International Standards Organization, Geneva

    Google Scholar 

  • Kalkstein LS (1991) A new approach to evaluate the impact of climate on human mortality. Environ Health Perspect 96:145–150

    CAS  CrossRef  Google Scholar 

  • Kenney WL, Havenith G (1993) Thermal physiology of the elderly and handicapped, heat stress and age: skin blood flow and body temperature. J Therm Biol 18:341–344

    CrossRef  Google Scholar 

  • Ladochy S, Medina R, Patzert W (2007) Recent California climate variability: spatial and temporal patterns in temperature trends. Climate Res 33:159–169

    CrossRef  Google Scholar 

  • Maughan RJ, Leiper JB, Shirreffs SM (1996) Restoration of fluid balance after exercise-induced dehydration effects of food and fluid intake. Eur J Appl Physiol 73:317–325

    CAS  CrossRef  Google Scholar 

  • Montain SJ et al (1994) Physiological tolerance to uncompensable heat stress: effects of exercise intensity, protective clothing and climate. J Appl Physiol 77:216–219

    CAS  Google Scholar 

  • Nag PK, Nag A, Ashtekar SP (2007) Thermal limits of men in moderate to heavy work in tropical farming. Ind Health 45(1):107–117

    CrossRef  Google Scholar 

  • Nag PK, Dutta P, Nag A (2013) Critical body temperature profile as indicator of heat stress vulnerability. Ind Health 51:113–122

    CAS  CrossRef  Google Scholar 

  • Nakai S, Shinzato K, Morimoto T (1996) Epidemiological analysis of heat disorders in Japan—an analysis of gleaned cases from newspaper report between 1990 and 1994. Jpn J Biometeor 33:71–77

    Google Scholar 

  • Parsons K (2009) Maintaining health, comfort and productivity in heat waves. Glob Health Action 2:39–45

    Google Scholar 

  • Searle M (2013) Colliding continents: a geological exploration of Himalaya, Karakoram and Tibet, Kindleth edn. Oxford University Press, Oxford

    Google Scholar 

  • Simoonga C et al (2008) The epidemiology and small-scale spatial heterogeneity of urinary schistosomiasis in Lusaka province, Zambia. Geospat Health 3(1):57–67

    Google Scholar 

  • Srivastava PK, Gupta M, Mukherjee S (2012) Mapping spatial distribution of pollutants in groundwater of a tropical area of India using remote sensing and GIS. Appl Geomatics 4(1):21–32

    CrossRef  Google Scholar 

  • World Meteorological Organization (2011) WMO statement on the status of the global climate in 2011. WMO-No-1085

    Google Scholar 

Download references

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Correspondence to Priya Dutta .

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Nag, P.K., Dutta, P., Chorsiya, V., Nag, A. (2014). GIS Visualization of Climate Change and Prediction of Human Responses. In: Islam, T., Srivastava, P., Gupta, M., Zhu, X., Mukherjee, S. (eds) Computational Intelligence Techniques in Earth and Environmental Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8642-3_5

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