Qianjun Mao , Piaopiao Chen , Xiaoyan Zhang , Yunlu Tan , Xiaohu Wu
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The BC concentration was consistently higher in autumn and winter than in spring and summer, being lowest in July (9.6 μg/m<sup>3</sup>) and highest in December (14 μg/m<sup>3</sup>). Spatially, the annual average BC concentration from 1980 to 2020 followed the order: central Yangtze River region (3.14 μg/m<sup>3</sup>) > eastern coastal region (2.72 μg/m<sup>3</sup>) > northeastern region (1.40 μg/m<sup>3</sup>) > western riverine region (0.69 μg/m<sup>3</sup>) > northwestern frontier region (0.31 μg/m<sup>3</sup>). High BC-concentration areas, mainly in the central and eastern regions, correlate with regions of vigorous human activities and high industrialization levels, confirming that human activity markedly influences BC pollution. Since 2013, the implementation of emission control strategies and adjustments in the energy structure in China had led to a significant decline in BC concentration. By revealing the spatiotemporal distribution and trends of BC concentration in China, this study provides valuable scientific insights for atmospheric science, environmental protection, and air pollution.</p></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"15 12","pages":"Article 102295"},"PeriodicalIF":3.9000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Long-term spatiotemporal distribution characterization of atmospheric black carbon MERRA-2 concentration over China\",\"authors\":\"Qianjun Mao , Piaopiao Chen , Xiaoyan Zhang , Yunlu Tan , Xiaohu Wu\",\"doi\":\"10.1016/j.apr.2024.102295\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Black carbon (BC), a component of atmospheric aerosols, strongly adsorbs solar radiation, thereby influencing atmospheric stability and air quality. In this study, the spatiotemporal distribution, historical trends, and influencing factors of BC concentration in China from 1980 to 2020 have been investigated using MERRA-2 (Modern-era Retrospective Analysis for Research and Applications, Vision2) reanalysis dataset, population distribution, and industrial statistics data. The annual total MERRA-2 BC concentration in China (averaging 1.08 μg/m<sup>3</sup> over the study period) exhibited three distinct phases: slow growth (1980–1999, 0.02 μg/m<sup>3</sup>/year), rapid growth (2000–2007, 0.61 μg/m<sup>3</sup>/year), and gradual decline (2008–2020, -0.014 μg/m<sup>3</sup>/year). The BC concentration was consistently higher in autumn and winter than in spring and summer, being lowest in July (9.6 μg/m<sup>3</sup>) and highest in December (14 μg/m<sup>3</sup>). Spatially, the annual average BC concentration from 1980 to 2020 followed the order: central Yangtze River region (3.14 μg/m<sup>3</sup>) > eastern coastal region (2.72 μg/m<sup>3</sup>) > northeastern region (1.40 μg/m<sup>3</sup>) > western riverine region (0.69 μg/m<sup>3</sup>) > northwestern frontier region (0.31 μg/m<sup>3</sup>). High BC-concentration areas, mainly in the central and eastern regions, correlate with regions of vigorous human activities and high industrialization levels, confirming that human activity markedly influences BC pollution. Since 2013, the implementation of emission control strategies and adjustments in the energy structure in China had led to a significant decline in BC concentration. By revealing the spatiotemporal distribution and trends of BC concentration in China, this study provides valuable scientific insights for atmospheric science, environmental protection, and air pollution.</p></div>\",\"PeriodicalId\":8604,\"journal\":{\"name\":\"Atmospheric Pollution Research\",\"volume\":\"15 12\",\"pages\":\"Article 102295\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atmospheric Pollution Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1309104224002605\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Pollution Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1309104224002605","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
黑碳(BC)是大气气溶胶的一种成分,对太阳辐射有强烈的吸附作用,从而影响大气的稳定性和空气质量。本研究利用MERRA-2(Modern-era Retrospective Analysis for Research and Applications,Vision2)再分析数据集、人口分布和工业统计数据,研究了1980-2020年中国BC浓度的时空分布、历史趋势和影响因素。中国的 MERRA-2 BC 年总浓度(研究期间平均为 1.08 μg/m3)呈现出三个明显的阶段:缓慢增长(1980-1999 年,0.02 μg/m3/年)、快速增长(2000-2007 年,0.61 μg/m3/年)和逐渐下降(2008-2020 年,-0.014 μg/m3/年)。秋冬季的 BC 浓度始终高于春夏季,7 月份最低(9.6 μg/m3),12 月份最高(14 μg/m3)。从空间上看,1980-2020 年 BC 年均浓度依次为:长江中游地区(3.14 微克/立方米);东部沿海地区(2.72 微克/立方米);东北地区(1.40 微克/立方米);西部沿江地区(0.69 微克/立方米);西北边疆地区(0.31 微克/立方米)。BC 高浓度区主要分布在中部和东部地区,与人类活动频繁、工业化水平高的地区相关,证实人类活动对 BC 污染的影响显著。自 2013 年以来,随着中国排放控制策略的实施和能源结构的调整,BC 浓度显著下降。本研究通过揭示中国 BC 浓度的时空分布和变化趋势,为大气科学、环境保护和空气污染提供了有价值的科学见解。
Long-term spatiotemporal distribution characterization of atmospheric black carbon MERRA-2 concentration over China
Black carbon (BC), a component of atmospheric aerosols, strongly adsorbs solar radiation, thereby influencing atmospheric stability and air quality. In this study, the spatiotemporal distribution, historical trends, and influencing factors of BC concentration in China from 1980 to 2020 have been investigated using MERRA-2 (Modern-era Retrospective Analysis for Research and Applications, Vision2) reanalysis dataset, population distribution, and industrial statistics data. The annual total MERRA-2 BC concentration in China (averaging 1.08 μg/m3 over the study period) exhibited three distinct phases: slow growth (1980–1999, 0.02 μg/m3/year), rapid growth (2000–2007, 0.61 μg/m3/year), and gradual decline (2008–2020, -0.014 μg/m3/year). The BC concentration was consistently higher in autumn and winter than in spring and summer, being lowest in July (9.6 μg/m3) and highest in December (14 μg/m3). Spatially, the annual average BC concentration from 1980 to 2020 followed the order: central Yangtze River region (3.14 μg/m3) > eastern coastal region (2.72 μg/m3) > northeastern region (1.40 μg/m3) > western riverine region (0.69 μg/m3) > northwestern frontier region (0.31 μg/m3). High BC-concentration areas, mainly in the central and eastern regions, correlate with regions of vigorous human activities and high industrialization levels, confirming that human activity markedly influences BC pollution. Since 2013, the implementation of emission control strategies and adjustments in the energy structure in China had led to a significant decline in BC concentration. By revealing the spatiotemporal distribution and trends of BC concentration in China, this study provides valuable scientific insights for atmospheric science, environmental protection, and air pollution.
期刊介绍:
Atmospheric Pollution Research (APR) is an international journal designed for the publication of articles on air pollution. Papers should present novel experimental results, theory and modeling of air pollution on local, regional, or global scales. Areas covered are research on inorganic, organic, and persistent organic air pollutants, air quality monitoring, air quality management, atmospheric dispersion and transport, air-surface (soil, water, and vegetation) exchange of pollutants, dry and wet deposition, indoor air quality, exposure assessment, health effects, satellite measurements, natural emissions, atmospheric chemistry, greenhouse gases, and effects on climate change.