空气质量指数
自然资源经济学
气候变化
森林砍伐(计算机科学)
减缓气候变化
温室气体
空气污染
比例(比率)
环境科学
全球卫生
化石燃料
业务
环境保护
环境卫生
经济
地理
医疗保健
经济增长
医学
生态学
气象学
程序设计语言
计算机科学
地图学
生物
作者
Xinyuan Huang,Vivek Srikrishnan,Jonathan Lamontagne,Klaus Keller,Wei Peng
标识
DOI:10.1038/s41893-023-01133-5
摘要
Climate mitigation can bring air quality and health co-benefits. How these health impacts might be distributed across countries remains unclear. Here we use a coupled climate–energy–health model to assess the country-varying health effects of a global carbon price across nearly 30,000 future states of the world (SOWs). As a carbon price lowers fossil fuel use, our analysis suggests consistent reductions in ambient fine particulate matter (PM2.5) levels and associated mortality risks in countries that currently suffer most from air pollution. For a few less-polluted countries, however, a carbon price can increase the mortality risks under some of the considered SOWs due to emissions increases from bioenergy use and land-use changes. These potential health co-harms are largely driven in our model by the scale and method of deforestation. A robust and quantitative understanding of these distributional outcomes requires improved representations of relevant deep uncertainties, country-specific characteristics and cross-sector interactions. More efficient and targeted climate mitigation policies require an improved understanding of how the associated air quality and health benefits will be distributed. This study assesses, at the country level, the health effects of a global carbon price under different future scenarios.
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