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气候目标和清洁空气政策在减少中国未来空气污染死亡人数中的作用:一项建模研究。

Role of climate goals and clean-air policies on reducing future air pollution deaths in China: a modelling study.

机构信息

Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.

Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China; Department of Earth System Science, University of California, Irvine, CA, USA.

出版信息

Lancet Planet Health. 2022 Feb;6(2):e92-e99. doi: 10.1016/S2542-5196(21)00326-0.

Abstract

BACKGROUND

Over 3 million people die every year from diseases caused by exposure to outdoor PM air pollution, and more than a quarter of these premature deaths occur in China. In addition to clean-air policies that target pollution emissions, climate policies aimed at reducing fossil-fuel CO emissions (eg, to avoid 1·5°C of warming) might also greatly improve air quality and public health. However, no comprehensive accounting of public health outcomes has been done under different energy pathways and local clean-air management decisions in China. We aimed to develop an integrated method for quantifying the health co-benefits from different climate, energy, and clean-air policy scenarios and to assess the relationship between climate and clean-air policies and future health burdens in China, where an ageing population will further exacerbate the effects of air pollution.

METHODS

For this modelling study, we used a China-focused integrated assessment model and a dynamic emission projection model to project future Chinese air quality in scenarios spanning a range of global climate targets (1·5°C, 2°C, national determined contributions [NDC], unambitious, baseline, and 4·5°C) and national clean-air actions (termed 2015-pollution, current-pollution, and ambitious-pollution). We then evaluated the health effects of PM air pollution in the scenario matrix using the air quality model and the latest epidemiological concentration-response functions from the 2019 Global Burden of Diseases, Injuries, and Risk Factors Study.

FINDINGS

We found that, without ambitious climate mitigation (eg, under current NDC pledge), Chinese deaths related to PM air pollution might not always decrease-and might often grow-by 2050 compared with the base year of 2015, regardless of clean-air policies and air quality improvements. For example, in the scenario that tracks China's current NDC pledge and uses the best available pollution control technologies (the ambitious-pollution and NDC goals scenario), PM-related deaths in China would decrease slightly by 2030 to 1·23 million per year (95% CI 0·95-1·51) from 1·25 million (1·04-1·46) in 2015, but would not decrease further by 2050 (1·21 million, 0·86-1·60) despite substantial and continuous improvements in population-weighted air quality (from 27·2 μg/m in 2030 to 16·0 μg/m in 2050). The contrary trends of improving air quality and increasing PM-related deaths in many of our scenarios revealed the extent to which extra efforts are needed to compensate for the increasing age of China's population in the future. With the scenarios that included ambitious clean-air policies and met international climate goals to avoid 1·5°C and 2°C of warming (the ambitious-pollution-2°C goals scenario and the ambitious-pollution-1·5°C goals scenario), we observed substantial decreases in China's PM-related deaths of 0·32-0·55 million deaths compared with NDC goals in 2050, and age-standardised death rates decreased by 10·2-14·2 deaths per 100 000 population per year.

INTERPRETATION

Our results show that ambitious climate policies (ie, limiting global average temperature rise to well below 2°C) and low-carbon energy transitions coupled with stringent clean-air policies are necessary to substantially reduce the human health effects from air pollution in China, regardless of socioeconomic assumptions. Our findings could help policy makers understand the crucial links between climate policy and public health.

FUNDING

The National Natural Science Foundation of China.

摘要

背景

每年有超过 300 万人死于户外 PM 空气污染引起的疾病,其中超过四分之一的过早死亡发生在中国。除了针对污染排放的清洁空气政策外,旨在减少化石燃料 CO 排放的气候政策(例如,避免 1.5°C 的升温)也可能极大地改善空气质量和公共健康。然而,在中国,没有综合考虑不同能源路径和地方清洁空气管理决策下的公共卫生结果。我们旨在开发一种综合方法,量化不同气候、能源和清洁空气政策情景下的健康协同效益,并评估气候和清洁空气政策与中国未来健康负担之间的关系,在中国,人口老龄化将进一步加剧空气污染的影响。

方法

在这项建模研究中,我们使用了一个专注于中国的综合评估模型和一个动态排放预测模型,以在一系列全球气候目标(1.5°C、2°C、国家确定的贡献[NDC]、不温不火、基线和 4.5°C)和国家清洁空气行动(称为 2015 年污染、当前污染和雄心勃勃的污染)的范围内预测未来中国的空气质量情景。然后,我们使用空气质量模型和来自 2019 年全球疾病、伤害和风险因素研究的最新流行病学浓度-反应函数来评估情景矩阵中的 PM 空气污染的健康影响。

结果

我们发现,如果没有雄心勃勃的气候缓解措施(例如,在目前的 NDC 承诺下),到 2050 年,中国与 2015 年基准年相比,与 PM 空气污染相关的死亡人数可能不会总是减少,而且往往会增加,无论清洁空气政策和空气质量改善如何。例如,在跟踪中国目前的 NDC 承诺并使用最佳可用污染控制技术的情景(雄心勃勃的污染和 NDC 目标情景)中,中国与 PM 相关的死亡人数将在 2030 年略有减少,从 2015 年的每年 125 万人(95%CI 1.04-1.46)降至 123 万人(95%CI 0.95-1.51),但到 2050 年不会进一步减少(121 万人,95%CI 0.86-1.60),尽管人口加权空气质量会持续大幅改善(从 2030 年的 27.2μg/m 降至 2050 年的 16.0μg/m)。我们许多情景中空气质量改善和与 PM 相关的死亡人数增加的相反趋势表明,未来需要付出更多努力来弥补中国人口老龄化的影响。在包括雄心勃勃的清洁空气政策和实现避免 1.5°C 和 2°C 升温的国际气候目标的情景(雄心勃勃的污染-2°C 目标情景和雄心勃勃的污染-1.5°C 目标情景)中,我们观察到到 2050 年与 NDC 目标相比,中国与 PM 相关的死亡人数大幅减少了 0.32-0.55 万人,年龄标准化死亡率每年每 10 万人减少 10.2-14.2 人。

解释

我们的结果表明,雄心勃勃的气候政策(即,将全球平均温度上升限制在远低于 2°C 以下)和低碳能源转型与严格的清洁空气政策相结合,对于在中国大幅减少空气污染对人类健康的影响是必要的,无论社会经济假设如何。我们的研究结果可以帮助政策制定者了解气候政策与公共卫生之间的关键联系。

资金

国家自然科学基金。

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