The potential burden from urbanisation on heat-related mortality in Sao Paulo, Brazil

被引:0
|
作者
de Moraes, Sara Lopes [1 ,2 ]
Brousse, Oscar [3 ]
Simpson, Charles [3 ]
Barrozo, Ligia Vizeu [1 ,2 ]
Almendra, Ricardo [4 ,5 ]
Heaviside, Clare [3 ]
机构
[1] Univ Sao Paulo, Sch Philosophy Literature & Human Sci, Dept Geog, Ave Prof Lineu Prestes 338,Cidade Univ, Sao Paulo, SP, Brazil
[2] Univ Sao Paulo, Inst Adv Studies, Rua Praca Relogio 109,Cidade Univ, Sao Paulo, SP, Brazil
[3] UCL, Inst Environm Design & Engn, 14 Upper Woburn Pl, London, England
[4] Univ Coimbra, Colegio S Jeronimo, Ctr Studies Geog & Spatial Planning CEGOT, Coimbra, Portugal
[5] Univ Coimbra, Dept Geog & Tourism, Colegio S Jeronimo, Coimbra, Portugal
基金
英国惠康基金; 巴西圣保罗研究基金会;
关键词
WRF; Climate change; Urban heat; Health impact assessment; Sa o Paulo; Heatwave; LOCAL CLIMATE ZONES; HUMAN HEALTH; IMPACT; WAVES; ISLANDS; VULNERABILITY; TEMPERATURE; POPULATION; HEATWAVES; WUDAPT;
D O I
10.1016/j.uclim.2024.102104
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Heatwave events are associated with increased hospital admissions and mortality rates worldwide. Heat exposure is often exacerbated by the Urban Heat Island (UHI) effect, especially in large cities. However, an accurate quantification of the additional burden related to heat from urbanisation is understudied in Latin American cities. Therefore, we used advanced meteorological modelling to simulate 2 m air temperature at 1 km spatial resolution across Sao Paulo, estimating UHI intensity attributing of all-cause mortality to heat and UHI during the 2014 heatwave. The Local Climate Zone classification system provided input land use parameters. Our model was validated against 31 weather stations and bias-corrected using linear regression. We calculated heat-related all-cause mortality, stratified by age, using the modelled temperature data, estimating 394 heat-related deaths. A counterfactual experiment, replacing urban areas with natural land, quantified the additional UHI burden. We found that the UHI may contribute to 69-70% of heat-related mortality (modelled temperature scenario). This work motivates the use of appropriate urban climate data, including careful model validation and bias correction, when assessing heat exposure and health risk assessment. It also highlights the health impacts from heatwaves in cities such as Sao Paulo, which are likely to increase due to climate change.
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页数:13
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