未来气象变化和人为排放控制对中国PM2.5浓度的分异区域影响

Yueqi Jiang , Yisheng Sun , Shengyue Li , Dejia Yin , Dian Ding , Zhaoxin Dong , Haotian Zheng , Bin Zhao , Shuxiao Wang
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引用次数: 0

摘要

尽管过去几十年取得了巨大进步,但在保护人类健康方面,中国仍面临着一项长期任务。有效的战略必须考虑到未来气象变化和人为排放变化的影响,这些变化在不同区域和不同气候变化情景之间差异很大。通过综合评估模式和区域气象/空气质量动态降尺度模拟系统,对2060年不同气候变化情景下中国大陆重点地区的气象条件、人为排放和PM2.5浓度进行了综合评估。结果表明:在SSP126、SSP245、SSP370和SSP585情景下,中国大陆的地表温度和湿度均呈上升趋势,而其他气象因子则因区域和情景而异。在京津冀和汾渭平原,气象变化预计将加剧空气污染,导致PM2.5分别增加3.5和1.5 μg/m³以上。相反,在大多数情景下,气象变化可能会降低长三角、珠江三角洲和四川盆地的PM2.5。人为排放变化分析表明,在所有重点区域,大幅度的人为减排都会显著降低PM2.5浓度,但由于区域排放源的差异,减少的程度有所不同。在重点区域中,珠三角在不同情景下的减排比例最小,PM2.5浓度下降幅度最小。气象变化和人为排放控制对未来中国PM2.5浓度的区域差异影响凸显了区域政策缓解未来PM2.5污染的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differentiated regional impacts of future meteorological changes and anthropogenic emission control on PM2.5 concentrations in China
Despite great progress in past decades, mitigating ambient fine particulate matter (PM2.5) pollution remains a long-term task for China in protecting human health. Effective strategies must account for the impacts of future meteorological changes and anthropogenic emission variations, which vary substantially across regions and climate change scenarios. In this study, we assessed meteorological conditions, anthropogenic emissions, and PM2.5 concentrations in 2060 in key regions in mainland China under various climate change scenarios by coupling an integrated assessment model and a regional meteorology/air quality dynamic downscaling simulation system. The results show that surface temperature and humidity are projected to increase across mainland China under all scenarios (SSP126, SSP245, SSP370, SSP585), while other meteorological factors vary by region and scenario. In the Jing-Jin-Ji and Fenwei Plain, meteorological changes are expected to worsen air pollution, leading to PM2.5 increases of over 3.5 and 1.5 μg/m³, respectively. Conversely, meteorological changes are likely to reduce PM2.5 in the Yangtze River Delta, Pearl River Delta, and Sichuan Basin in most scenarios. The analysis of anthropogenic emission variations demonstrates that large anthropogenic emissions reductions will significantly decrease PM2.5 concentrations in all key regions, but the extent of reductions varies due to regional differences in emission sources. Among key regions, the Pearl River Delta usually exhibits the smallest proportional reductions in emissions and the least decline in PM2.5 concentration across various scenarios. The differentiated regional impact of meteorological changes and anthropogenic emission control on future PM2.5 concentrations in China highlights the necessity of region-specific policies to mitigate future PM2.5 pollution.
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