4.7 Article

Future cooling gap in shared socioeconomic pathways

期刊

ENVIRONMENTAL RESEARCH LETTERS
卷 16, 期 9, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1748-9326/ac2195

关键词

cooling gap; adaptive capacity; heat stress; air conditioning

资金

  1. German Federal Ministry of Education and Research [01LN1711A]
  2. European Union's Horizon 2020 Research and Innovation Programme [821124]
  3. H2020 Societal Challenges Programme [821124] Funding Source: H2020 Societal Challenges Programme

向作者/读者索取更多资源

The global society's ability to adapt to climate change remains uncertain, with socioeconomic factors such as income, urbanization, and income inequality playing a key role in determining populations' adaptive capacity to heat stress. Depending on different scenarios of socioeconomic development, the total population affected by the cooling gap could vary between 2 billion and 5 billion people by 2050, highlighting significant regional inequalities in adaptive capacity and underscoring the importance of considering different levels of adaptive capacity in climate change impact assessments.
The extent to which societies will globally be able to adapt to climate change is not well understood. Here we analyze socioeconomic dimensions of adaptive capacity of populations to deal with heat stress and find income, urbanization and income inequality to be important factors in explaining adaptation to heat stress with air conditioning (AC). Using the scenario framework of the Shared Socioeconomic Pathways (SSPs), we estimate the future cooling gap, which represents the difference between the population exposed to heat stress and the population able to protect against heat stress with AC. Depending on the scenario of socioeconomic development, total population affected by the cooling gap may vary between 2 billion and 5 billion people in 2050, with the scenario-dependent range widening further towards the end of the century. Our analysis shows vast regional inequalities in adaptive capacity for one of the most universal manifestations of climate change, underscoring the need to account for the different potential levels of adaptive capacity in assessments of climate change impacts.

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