Development of a multiple solution mixing mechanism based aerosol component retrieval method for polarimetric satellite measurements

IF 3.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Atmospheric Environment Pub Date : 2025-05-15 Epub Date: 2025-02-22 DOI:10.1016/j.atmosenv.2025.121120
Ying Zhang , ChaoYu Yan , Zhengqaing Li , Haoran Gu , Yisong Xie
{"title":"Development of a multiple solution mixing mechanism based aerosol component retrieval method for polarimetric satellite measurements","authors":"Ying Zhang ,&nbsp;ChaoYu Yan ,&nbsp;Zhengqaing Li ,&nbsp;Haoran Gu ,&nbsp;Yisong Xie","doi":"10.1016/j.atmosenv.2025.121120","DOIUrl":null,"url":null,"abstract":"<div><div>Aerosols chemical components from different sources significantly affect climate change and air quality. In this study, we developed a satellite-based aerosol component retrieval method based on multiple solution mixing mechanism (MSMM) to extract global aerosol component from POLDER polarimetric satellite observations from 2008 to 2012. The MSMM calculates the complex refractive index using the Lorentz-Lorenz relation and constrains the solute fraction with κ-Köhler theory to retrieve the following components: black carbon (BC), ammonium nitrate-like inorganic salts (AN), dust (DU), sea salt (SS), water-soluble organic matter (WSOM), water-insoluble organic matter (WIOM), and aerosol water content (AW). By analyzing the spatial distribution and seasonal characteristics of the seven aerosol components over a five-year period, we captured the significant patterns of each aerosol component over global anthropogenic and natural hotspot emission regions. The five-year average and the seasonal patterns of each component during 2008 show significant changes, consistent with our expectations and previous studies. The pattern of global brown carbon (BrC), which is estimated by the possible tracer substances, is correlated with the fire radiative power. After analyzing the time series changes of each component in different regions for five years, we fine that the fine-mode fraction of aerosol component mass concentration in the central-eastern region of China declined about 6.05% from 2008 to 2010, which is closely related to the strong implementation of environmental protection policies. Also, we find the global aerosol component mass fraction in 2012 shows anomalies, especially a significant increase in the AW component, which is explained by the high frequency of extreme weather. The aerosol components retrieved by the MSMM are comparable with MERRA-2, with the correlations up to 0.94 for BC and 0.88 for DU in representative regions. More comprehensive species of aerosol components can be obtained using the MSMM method than MERRA-2, which can be applied to future satellite observations with higher spatial resolution.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"349 ","pages":"Article 121120"},"PeriodicalIF":3.7000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Environment","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1352231025000950","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/22 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Aerosols chemical components from different sources significantly affect climate change and air quality. In this study, we developed a satellite-based aerosol component retrieval method based on multiple solution mixing mechanism (MSMM) to extract global aerosol component from POLDER polarimetric satellite observations from 2008 to 2012. The MSMM calculates the complex refractive index using the Lorentz-Lorenz relation and constrains the solute fraction with κ-Köhler theory to retrieve the following components: black carbon (BC), ammonium nitrate-like inorganic salts (AN), dust (DU), sea salt (SS), water-soluble organic matter (WSOM), water-insoluble organic matter (WIOM), and aerosol water content (AW). By analyzing the spatial distribution and seasonal characteristics of the seven aerosol components over a five-year period, we captured the significant patterns of each aerosol component over global anthropogenic and natural hotspot emission regions. The five-year average and the seasonal patterns of each component during 2008 show significant changes, consistent with our expectations and previous studies. The pattern of global brown carbon (BrC), which is estimated by the possible tracer substances, is correlated with the fire radiative power. After analyzing the time series changes of each component in different regions for five years, we fine that the fine-mode fraction of aerosol component mass concentration in the central-eastern region of China declined about 6.05% from 2008 to 2010, which is closely related to the strong implementation of environmental protection policies. Also, we find the global aerosol component mass fraction in 2012 shows anomalies, especially a significant increase in the AW component, which is explained by the high frequency of extreme weather. The aerosol components retrieved by the MSMM are comparable with MERRA-2, with the correlations up to 0.94 for BC and 0.88 for DU in representative regions. More comprehensive species of aerosol components can be obtained using the MSMM method than MERRA-2, which can be applied to future satellite observations with higher spatial resolution.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于多溶液混合机制的气溶胶组分反演方法的发展
不同来源的气溶胶化学成分显著影响气候变化和空气质量。本文提出了一种基于多溶液混合机制(MSMM)的卫星气溶胶成分检索方法,用于提取2008 - 2012年POLDER极化卫星观测数据中的全球气溶胶成分。MSMM使用洛伦兹-洛伦兹关系计算复折射率,并使用κ-Köhler理论约束溶质分数,以获取以下成分:黑碳(BC)、硝酸铵类无机盐(AN)、粉尘(DU)、海盐(SS)、水溶性有机质(WSOM)、水不溶性有机质(WIOM)和气溶胶含水量(AW)。通过分析7种气溶胶组分近5年的空间分布和季节特征,获得了全球人为和自然热点排放区各气溶胶组分的显著特征。2008年的5年平均值和各分量的季节模式显示出显著的变化,与我们的预期和以前的研究一致。通过可能的示踪物质估算的全球棕色碳(BrC)格局与火的辐射功率相关。通过分析各组分在不同区域5年的时间序列变化,我们发现中国中东部地区气溶胶组分质量浓度的细模态分数在2008 - 2010年间下降了约6.05%,这与环保政策的大力实施密切相关。此外,2012年全球气溶胶组分质量分数出现异常,特别是AW组分明显增加,这与极端天气的高频率有关。MSMM反演的气溶胶组分与MERRA-2具有可比性,在代表性地区,BC和DU的相关系数分别高达0.94和0.88。与MERRA-2相比,MSMM方法可获得更全面的气溶胶组分种类,可用于未来更高空间分辨率的卫星观测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Atmospheric Environment
Atmospheric Environment 环境科学-环境科学
CiteScore
9.40
自引率
8.00%
发文量
458
审稿时长
53 days
期刊介绍: Atmospheric Environment has an open access mirror journal Atmospheric Environment: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review. Atmospheric Environment is the international journal for scientists in different disciplines related to atmospheric composition and its impacts. The journal publishes scientific articles with atmospheric relevance of emissions and depositions of gaseous and particulate compounds, chemical processes and physical effects in the atmosphere, as well as impacts of the changing atmospheric composition on human health, air quality, climate change, and ecosystems.
期刊最新文献
Ambient ozone exposure associated with incidence and accelerated occurrence of cardiometabolic diseases and potential mediating effect of blood pressure: A prospective cohort study based on the GOLD-Health Photocatalyst applications causing organic material aging and secondary pollution Carbon source profiles for atmospheric relevant biological particles Detection and quantification of large fugitive methane emissions in the Madrid region using ambient concentration measurements and dispersion modeling Application of MeV SIMS for multi year and seasonal characterization of PM2.5 aerosols from Krakow, Poland
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1