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Heat stress vulnerability and risk at the (super) local scale in six Brazilian capitals

Author:
Lapola, David M., Braga, Diego R., Di Giulio, Gabriela M., Torres, Roger R., Vasconcellos, Maria P.
Source:
Climatic change 2019 v.154 no.3-4 pp. 477-492
ISSN:
0165-0009
Subject:
at-risk population, cities, climate change, elderly, heat island, heat stress, human development, risk, surface temperature, Brazil
Abstract:
Brazilian cities host 86% of the country’s population and have been more intensely hit by rising temperatures than the average of cities across the world over the last century. Nevertheless, assessments of the vulnerability of Brazilian urban dwellers to urban heat islands (UHI) are scarce. In this study, we take advantage of the availability of high-resolution data to calculate the heat stress vulnerability and risk indexes (HSVI and HSRI, respectively) for people inhabiting six Brazilian metropolitan areas—Manaus, Natal, Vitória, São Paulo, Curitiba, and Porto Alegre. The indexes are calculated by mathematically relating indicators of exposure (distribution of >65-year-old elderly people), sensitivity/adaptive capacity (human development index, HDI), and hazard (surface temperature). The resulting HSVI maps reflect the socioeconomic (HDI) differences found among the studied cities, with the most vulnerable people located in the poorest neighborhoods in Manaus (0.720) and Natal (0.733), distributed among lower- and mid-class zones in São Paulo (0.794) and Vitória (0.772), or invariably located in the wealthy zones of Curitiba (0.783) and Porto Alegre (0.762). Two distinct patterns are identified for the HSRI: in São Paulo, Vitória, Curitiba, and Porto Alegre, high and very high risks are found in the wealthy zones of the cities, whereas in Natal and Manaus, high and very high risks are encountered in the poorly developed city zones, a result that was strongly driven by the UHI pattern. Better communication of heat stress risk and the improvement of city greenness should be the focus of near-term adaptation strategies for the mapped vulnerable population.
Agid:
6480184