Suppr超能文献

要想在可持续发展目标 3.9 下大幅降低全球与 PM 相关的死亡人数,需要更好地进行空气污染控制和改善医疗保健。

Substantially reducing global PM-related deaths under SDG3.9 requires better air pollution control and healthcare.

机构信息

Key Laboratory of Environmental Change and Natural Disasters of Chinese Ministry of Education, Beijing Normal University, Beijing, China.

School of International Affairs and Public Administration, Ocean University of China, Qingdao, China.

出版信息

Nat Commun. 2024 Mar 28;15(1):2729. doi: 10.1038/s41467-024-46969-3.

Abstract

The United Nations' Sustainable Development Goal (SDG) 3.9 calls for a substantial reduction in deaths attributable to PM pollution (DAPP). However, DAPP projections vary greatly and the likelihood of meeting SDG3.9 depends on complex interactions among environmental, socio-economic, and healthcare parameters. We project potential future trends in global DAPP considering the joint effects of each driver (PM concentration, death rate of diseases, population size, and age structure) and assess the likelihood of achieving SDG3.9 under the Shared Socioeconomic Pathways (SSPs) as quantified by the Scenario Model Intercomparison Project (ScenarioMIP) framework with simulated PM concentrations from 11 models. We find that a substantial reduction in DAPP would not be achieved under all but the most optimistic scenario settings. Even the development aligned with the Sustainability scenario (SSP1-2.6), in which DAPP was reduced by 19%, still falls just short of achieving a substantial (≥20%) reduction by 2030. Meeting SDG3.9 calls for additional efforts in air pollution control and healthcare to more aggressively reduce DAPP.

摘要

联合国可持续发展目标(SDG)3.9 呼吁大幅减少可归因于 PM 污染的死亡人数(DAPP)。然而,DAPP 的预测差异很大,能否实现 SDG3.9 取决于环境、社会经济和医疗保健参数之间的复杂相互作用。我们考虑到每个驱动因素(PM 浓度、疾病死亡率、人口规模和年龄结构)的共同影响,预测了全球 DAPP 的潜在未来趋势,并根据情景模型比较计划(ScenarioMIP)框架下的共享社会经济途径(SSP)评估了在模拟 PM 浓度的 11 个模型下实现 SDG3.9 的可能性。我们发现,除了最乐观的情景设置外,DAPP 不会大幅减少。即使是与可持续性情景(SSP1-2.6)一致的发展,DAPP 减少了 19%,仍未能实现到 2030 年减少 20%以上的目标。要实现 SDG3.9,需要在空气污染控制和医疗保健方面做出更多努力,以更积极地减少 DAPP。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61ac/10978932/1d3e2310ac54/41467_2024_46969_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验