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. 2016 Jan 12:15:3.
doi: 10.1186/s12940-015-0081-0.

County-level heat vulnerability of urban and rural residents in Tibet, China

Affiliations

County-level heat vulnerability of urban and rural residents in Tibet, China

Li Bai et al. Environ Health. .

Abstract

Background: Tibet is especially vulnerable to climate change due to the relatively rapid rise of temperature over past decades. The effects on mortality and morbidity of extreme heat in Tibet have been examined in previous studies; no heat adaptation initiatives have yet been implemented. We estimated heat vulnerability of urban and rural populations in 73 Tibetan counties and identified potential areas for public health intervention and further research.

Methods: According to data availability and vulnerability factors identified previously in Tibet and elsewhere, we selected 10 variables related to advanced age, low income, illiteracy, physical and mental disability, small living spaces and living alone. We separately created and mapped county-level cumulative heat vulnerability indices for urban and rural residents by summing up factor scores produced by a principal components analysis (PCA).

Results: For both study populations, PCA yielded four factors with similar structure. The components for rural and urban residents explained 76.5 % and 77.7 % respectively of the variability in the original vulnerability variables. We found spatial variability of heat vulnerability across counties, with generally higher vulnerability in high-altitude counties. Although we observed similar median values and ranges of the cumulative heat vulnerability index values among urban and rural residents overall, the pattern varied strongly from one county to another.

Conclusions: We have developed a measure of population vulnerability to high temperatures in Tibet. These are preliminary findings, but they may assist targeted adaptation plans in response to future rapid warming in Tibet.

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Figures

Fig. 1
Fig. 1
Temperatures in seven regions of Tibet during 1970–2013 (Purple, green and blue represent maximum, mean and minimum temperatures, respectively)
Fig. 2
Fig. 2
Map of cumulative heat vulnerability by county for urban residents in Tibet
Fig. 3
Fig. 3
Map of cumulative heat vulnerability by county for rural residents in Tibet

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