DRI-2001和DRI-2015对PM2.5中碳质气溶胶分析的模式间比较:方法开发与在重庆的应用

IF 3.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Chao Peng , Chongzhi Zhai , Yang Chen , Mi Tian , Ying Xiang , Tianyu Zhai , Weikai Fang , Xin Long , Xiaocheng Wang , Mulan Chen , Yunqing Cao , Min Du , Zhenliang Li
{"title":"DRI-2001和DRI-2015对PM2.5中碳质气溶胶分析的模式间比较:方法开发与在重庆的应用","authors":"Chao Peng ,&nbsp;Chongzhi Zhai ,&nbsp;Yang Chen ,&nbsp;Mi Tian ,&nbsp;Ying Xiang ,&nbsp;Tianyu Zhai ,&nbsp;Weikai Fang ,&nbsp;Xin Long ,&nbsp;Xiaocheng Wang ,&nbsp;Mulan Chen ,&nbsp;Yunqing Cao ,&nbsp;Min Du ,&nbsp;Zhenliang Li","doi":"10.1016/j.apr.2025.102555","DOIUrl":null,"url":null,"abstract":"<div><div>Thermal-optical method is widely used to determine organic carbon (OC) and elemental carbon (EC) in PM<sub>2.5</sub> collected on filters. DRI-2001 and DRI-2015 analyzers have both been extensively employed with the IMPROVE_A protocol in the recent decades. However, differences in detectors and lasers between the two models can affect the measurement results. In this study, a novel using multiple linear regression was developed to equalize carbon fraction results between DRI-2001 and DRI-2015. After adjustment, high inter-model consistency was observed, with a mean bias within 5 % for total carbon (TC) and OC, and ∼10 % for EC. Larger inter-model differences (5.2 %–121.5 %) were found in OC1-OC4 and EC1-EC3. Fractions with high mass loading, particularly those linked to biomass burning (BB) and coal combustion (CC) (e.g., OC1, OC2 and OC4), exhibited better agreement after adjustment, with smaller mean bias within ∼15 % and higher R<sup>2</sup> values above 0.93 (<em>p</em> &lt; 0.001). During winter in Wanzhou, the adjusted carbon fractions exhibited significantly improved inter-model agreement (<em>p</em> &lt; 0.001). BB and CC were identified as the primary sources of carbonaceous aerosol, while secondary organic carbon (SOC) also contributed to elevated TC concentrations during pollution periods. Similar to DRI-2001 results, DRI-2015 measurements during winter indicated that CC and BB contributed 47.5 %, diesel exhaust 18.0 %, gasoline exhaust 21.6 %, and secondary formation 12.9 % to TC. These findings enhance our understanding of uncertainties and differences between models, leading to more accurate characterization of carbonaceous aerosol.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 8","pages":"Article 102555"},"PeriodicalIF":3.9000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inter-model comparison of the DRI-2001 and DRI-2015 for carbonaceous aerosol analysis in PM2.5: Method development and application in Chongqing\",\"authors\":\"Chao Peng ,&nbsp;Chongzhi Zhai ,&nbsp;Yang Chen ,&nbsp;Mi Tian ,&nbsp;Ying Xiang ,&nbsp;Tianyu Zhai ,&nbsp;Weikai Fang ,&nbsp;Xin Long ,&nbsp;Xiaocheng Wang ,&nbsp;Mulan Chen ,&nbsp;Yunqing Cao ,&nbsp;Min Du ,&nbsp;Zhenliang Li\",\"doi\":\"10.1016/j.apr.2025.102555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Thermal-optical method is widely used to determine organic carbon (OC) and elemental carbon (EC) in PM<sub>2.5</sub> collected on filters. DRI-2001 and DRI-2015 analyzers have both been extensively employed with the IMPROVE_A protocol in the recent decades. However, differences in detectors and lasers between the two models can affect the measurement results. In this study, a novel using multiple linear regression was developed to equalize carbon fraction results between DRI-2001 and DRI-2015. After adjustment, high inter-model consistency was observed, with a mean bias within 5 % for total carbon (TC) and OC, and ∼10 % for EC. Larger inter-model differences (5.2 %–121.5 %) were found in OC1-OC4 and EC1-EC3. Fractions with high mass loading, particularly those linked to biomass burning (BB) and coal combustion (CC) (e.g., OC1, OC2 and OC4), exhibited better agreement after adjustment, with smaller mean bias within ∼15 % and higher R<sup>2</sup> values above 0.93 (<em>p</em> &lt; 0.001). During winter in Wanzhou, the adjusted carbon fractions exhibited significantly improved inter-model agreement (<em>p</em> &lt; 0.001). BB and CC were identified as the primary sources of carbonaceous aerosol, while secondary organic carbon (SOC) also contributed to elevated TC concentrations during pollution periods. Similar to DRI-2001 results, DRI-2015 measurements during winter indicated that CC and BB contributed 47.5 %, diesel exhaust 18.0 %, gasoline exhaust 21.6 %, and secondary formation 12.9 % to TC. These findings enhance our understanding of uncertainties and differences between models, leading to more accurate characterization of carbonaceous aerosol.</div></div>\",\"PeriodicalId\":8604,\"journal\":{\"name\":\"Atmospheric Pollution Research\",\"volume\":\"16 8\",\"pages\":\"Article 102555\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-04-21\",\"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/S1309104225001576\",\"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/S1309104225001576","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

热光学法被广泛用于测定过滤器收集的PM2.5中的有机碳(OC)和元素碳(EC)。近几十年来,dr -2001和dr -2015分析仪都被广泛应用于IMPROVE_A协议。然而,两种模型之间的探测器和激光器的差异会影响测量结果。本研究提出了一种新的多元线性回归方法来平衡DRI-2001和DRI-2015之间的碳分数结果。调整后,观察到很高的模型间一致性,总碳(TC)和总碳(OC)的平均偏差在5%以内,总碳(EC)的平均偏差在~ 10%。OC1-OC4和EC1-EC3的模型间差异较大(5.2% - 121.5%)。具有高质量负荷的馏分,特别是那些与生物质燃烧(BB)和煤燃烧(CC)相关的馏分(例如,OC1、OC2和OC4),在调整后表现出更好的一致性,平均偏差在~ 15%以内,R2值高于0.93 (p <;0.001)。在万州冬季,调整后的碳组分在模式间的一致性显著提高(p <;0.001)。发现BB和CC是含碳气溶胶的主要来源,而二次有机碳(SOC)也对污染期间TC浓度的升高有贡献。与dr -2001的结果相似,dr -2015在冬季的测量结果表明,CC和BB对TC的贡献率为47.5%,柴油废气为18.0%,汽油废气为21.6%,二次形成为12.9%。这些发现增强了我们对模式之间的不确定性和差异的理解,从而更准确地表征含碳气溶胶。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inter-model comparison of the DRI-2001 and DRI-2015 for carbonaceous aerosol analysis in PM2.5: Method development and application in Chongqing
Thermal-optical method is widely used to determine organic carbon (OC) and elemental carbon (EC) in PM2.5 collected on filters. DRI-2001 and DRI-2015 analyzers have both been extensively employed with the IMPROVE_A protocol in the recent decades. However, differences in detectors and lasers between the two models can affect the measurement results. In this study, a novel using multiple linear regression was developed to equalize carbon fraction results between DRI-2001 and DRI-2015. After adjustment, high inter-model consistency was observed, with a mean bias within 5 % for total carbon (TC) and OC, and ∼10 % for EC. Larger inter-model differences (5.2 %–121.5 %) were found in OC1-OC4 and EC1-EC3. Fractions with high mass loading, particularly those linked to biomass burning (BB) and coal combustion (CC) (e.g., OC1, OC2 and OC4), exhibited better agreement after adjustment, with smaller mean bias within ∼15 % and higher R2 values above 0.93 (p < 0.001). During winter in Wanzhou, the adjusted carbon fractions exhibited significantly improved inter-model agreement (p < 0.001). BB and CC were identified as the primary sources of carbonaceous aerosol, while secondary organic carbon (SOC) also contributed to elevated TC concentrations during pollution periods. Similar to DRI-2001 results, DRI-2015 measurements during winter indicated that CC and BB contributed 47.5 %, diesel exhaust 18.0 %, gasoline exhaust 21.6 %, and secondary formation 12.9 % to TC. These findings enhance our understanding of uncertainties and differences between models, leading to more accurate characterization of carbonaceous aerosol.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Atmospheric Pollution Research
Atmospheric Pollution Research ENVIRONMENTAL SCIENCES-
CiteScore
8.30
自引率
6.70%
发文量
256
审稿时长
36 days
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.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信