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

被引:49
作者
Bai, Li [1 ]
Woodward, Alistair [2 ]
Cirendunzhu [3 ]
Liu, Qiyong [1 ,4 ]
机构
[1] Chinese Ctr Dis Control & Prevent, Natl Inst Communicable Dis Control & Prevent, Collaborat Innovat Ctr Diag & Treatment Infect Di, State Key Lab Infect Dis Prevent & Control, Beijing 102206, Peoples R China
[2] Univ Auckland, Sch Populat Hlth, Auckland 1142, New Zealand
[3] Tibet Ctr Dis Control & Prevent, Lhasa 850000, Tibet, Peoples R China
[4] Shandong Univ, Climate Change & Hlth Ctr, Jinan 250012, Shandong, Peoples R China
关键词
Tibet; Climate change; Heat; Vulnerability; Urban; Rural; Adaption; TIME-SERIES ANALYSIS; CASE-ONLY ANALYSIS; HIGH-TEMPERATURE; WARNING SYSTEMS; MORTALITY; RISK; WAVE; CHICAGO; DEATHS; IMPACT;
D O I
10.1186/s12940-015-0081-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
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页数:10
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