• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Source Apportionment Using Positive Matrix Factorization on Daily Measurements of Inorganic and Organic Speciated PM(2.5).基于无机和有机特定PM(2.5)每日测量值,使用正定矩阵因子分解法进行源解析。
Atmos Environ (1994). 2010 Jul 1;44(23):2731-2741. doi: 10.1016/j.atmosenv.2010.04.038.
2
Positive matrix factorization of a 32-month series of daily PM speciation data with incorporation of temperature stratification.对包含温度分层的32个月每日颗粒物形态数据系列进行正定矩阵因子分解。
Atmos Environ (1994). 2013 Feb 1;65:11-20. doi: 10.1016/j.atmosenv.2012.09.034.
3
A hybrid source apportionment strategy using positive matrix factorization (PMF) and molecular marker chemical mass balance (MM-CMB) models.使用正矩阵因子分解 (PMF) 和分子标志物化学质量平衡 (MM-CMB) 模型的混合源解析策略。
Environ Pollut. 2018 Jul;238:39-51. doi: 10.1016/j.envpol.2018.02.091. Epub 2018 Mar 10.
4
PM2.5 source apportionment with organic markers in the Southeastern Aerosol Research and Characterization (SEARCH) study.在东南部气溶胶研究与表征(SEARCH)研究中利用有机标志物进行细颗粒物(PM2.5)源解析
J Air Waste Manag Assoc. 2015 Sep;65(9):1104-18. doi: 10.1080/10962247.2015.1063551.
5
Positive matrix factorization (PMF) analysis of molecular marker measurements to quantify the sources of organic aerosols.用于量化有机气溶胶来源的分子标志物测量的正定矩阵因子分解(PMF)分析。
Environ Sci Technol. 2007 Aug 15;41(16):5763-9. doi: 10.1021/es062536b.
6
Positive matrix factorization of PM(2.5): comparison and implications of using different speciation data sets.PM<sub>2.5</sub>的正矩阵因子分析:使用不同的物种数据集的比较和影响。
Environ Sci Technol. 2012 Nov 6;46(21):11962-70. doi: 10.1021/es302358g. Epub 2012 Oct 24.
7
The Denver Aerosol Sources and Health (DASH) Study: Overview and Early Findings.丹佛气溶胶来源与健康(DASH)研究:概述与早期发现。
Atmos Environ (1994). 2009 Mar 1;43(9):1666-1673. doi: 10.1016/j.atmosenv.2008.12.017. Epub 2008 Dec 24.
8
Organic speciation of ambient quasi-ultrafine particulate matter (PM) in Augsburg, Germany: Seasonal variability and source apportionment.德国奥格斯堡环境准超细颗粒物(PM)的有机形态:季节性变化和来源解析。
Sci Total Environ. 2018 Feb 15;615:828-837. doi: 10.1016/j.scitotenv.2017.09.158. Epub 2017 Oct 7.
9
[Impacts of Online Measurements of Organic Molecular Markers as Input Species for PM Source Apportionments: A Case Study in Hangzhou During the 19 Asian Games].
Huan Jing Ke Xue. 2025 Mar 8;46(3):1314-1325. doi: 10.13227/j.hjkx.202404043.
10
Fine particle sources and cardiorespiratory morbidity: an application of chemical mass balance and factor analytical source-apportionment methods.细颗粒物来源与心肺疾病发病率:化学质量平衡法和因子分析源解析方法的应用
Environ Health Perspect. 2008 Apr;116(4):459-66. doi: 10.1289/ehp.10873.

引用本文的文献

1
The Adsorption Ability of NCFM to Benzo(a)pyrene in PM.嗜热栖热放线菌NCFM对可吸入颗粒物中苯并(a)芘的吸附能力
J Toxicol. 2021 Jan 7;2021:6290524. doi: 10.1155/2021/6290524. eCollection 2021.
2
Trends in PM emissions, concentrations and apportionments in Detroit and Chicago.底特律和芝加哥的颗粒物排放、浓度及源解析趋势。
Atmos Environ (1994). 2016 Mar;129:197-209. doi: 10.1016/j.atmosenv.2016.01.012.
3
Positive matrix factorization of PM - eliminating the effects of gas/particle partitioning of semivolatile organic compounds.消除半挥发性有机化合物气/粒分配影响的正矩阵因子分解法
Atmos Chem Phys. 2013;13:7381-7393. doi: 10.5194/acp-13-7381-2013.
4
Intra-urban spatial variability of PM-bound carbonaceous components.城市内部与颗粒物结合的含碳成分的空间变异性。
Atmos Environ (1994). 2012 Dec;60:486-494. doi: 10.1016/j.atmosenv.2012.05.041.
5
Positive matrix factorization of a 32-month series of daily PM speciation data with incorporation of temperature stratification.对包含温度分层的32个月每日颗粒物形态数据系列进行正定矩阵因子分解。
Atmos Environ (1994). 2013 Feb 1;65:11-20. doi: 10.1016/j.atmosenv.2012.09.034.
6
Intra-urban spatial variability and uncertainty assessment of PM sources based on carbonaceous species.基于含碳物种的城市内部PM源空间变异性与不确定性评估
Atmos Environ (1994). 2012 Dec 1;60:305-315. doi: 10.1016/j.atmosenv.2012.06.036.
7
Influence of organic and inorganic markers in the source apportionment of airborne PM10 in Zaragoza (Spain) by two receptor models.两种受体模型在西班牙萨拉戈萨市空气中 PM10 来源解析中有机和无机标记物的影响。
Environ Sci Pollut Res Int. 2013 May;20(5):3240-51. doi: 10.1007/s11356-012-1241-1. Epub 2012 Oct 23.
8
The temporal lag structure of short-term associations of fine particulate matter chemical constituents and cardiovascular and respiratory hospitalizations.细颗粒物化学成分与心血管和呼吸道住院之间短期关联的时滞结构。
Environ Health Perspect. 2012 Aug;120(8):1094-9. doi: 10.1289/ehp.1104721. Epub 2012 May 18.
9
Understanding atmospheric organic aerosols via factor analysis of aerosol mass spectrometry: a review.通过气溶胶质谱分析的因子分析理解大气有机气溶胶:综述。
Anal Bioanal Chem. 2011 Dec;401(10):3045-67. doi: 10.1007/s00216-011-5355-y. Epub 2011 Oct 5.

本文引用的文献

1
The Denver Brown Cloud Studies from the Perspective of Model Assessment Needs and the Role of Meteorology.
J Air Waste Manag Assoc. 1997 Mar;47(3):269-285. doi: 10.1080/10473289.1997.10464447.
2
Temporal patterns in daily measurements of inorganic and organic speciated PM in Denver.丹佛市无机和有机形态颗粒物每日测量中的时间模式。
Atmos Environ (1994). 2010 Mar 1;44(7):987-998. doi: 10.1016/j.atmosenv.2009.06.006. Epub 2009 Jun 12.
3
The Denver Aerosol Sources and Health (DASH) Study: Overview and Early Findings.丹佛气溶胶来源与健康(DASH)研究:概述与早期发现。
Atmos Environ (1994). 2009 Mar 1;43(9):1666-1673. doi: 10.1016/j.atmosenv.2008.12.017. Epub 2008 Dec 24.
4
Sources of fine organic aerosol. 6. Cigaret smoke in the urban atmosphere.细有机气溶胶的来源。6. 城市大气中的香烟烟雾。
Environ Sci Technol. 1994 Jul 1;28(7):1375-88. doi: 10.1021/es00056a030.
5
PM(2.5) Characterization for Time Series Studies: Organic Molecular Marker Speciation Methods and Observations from Daily Measurements in Denver.用于时间序列研究的细颗粒物(PM2.5)表征:有机分子标志物形态分析方法及丹佛市每日测量观测结果
Atmos Environ (1994). 2009 Apr;43(12):2018-2030. doi: 10.1016/j.atmosenv.2009.01.003.
6
PM(2.5) Characterization for Time Series Studies: Pointwise Uncertainty Estimation and Bulk Speciation Methods Applied in Denver.用于时间序列研究的PM(2.5)特性:丹佛市应用的逐点不确定性估计和总体成分分析方法
Atmos Environ (1994). 2009 Feb 1;43(5):1136-1146. doi: 10.1016/j.atmosenv.2008.10.003.
7
Effective rate constants and uptake coefficients for the reactions of organic molecular markers (n-alkanes, hopanes, and steranes) in motor oil and diesel primary organic aerosols with hydroxyl radicals.用于测量发动机油和柴油原始有机气溶胶中有机分子标记物(正烷烃、藿烷和甾烷)与羟基自由基反应的有效速率常数和吸收系数。
Environ Sci Technol. 2009 Dec 1;43(23):8794-800. doi: 10.1021/es901745h.
8
Laboratory measurements of the heterogeneous oxidation of condensed-phase organic molecular makers for motor vehicle exhaust.机动车尾气中凝聚相有机分子标志物非均相氧化的实验室测量。
Environ Sci Technol. 2008 Nov 1;42(21):7950-6. doi: 10.1021/es800745x.
9
A review of biomarker compounds as source indicators and tracers for air pollution.生物标志物化合物作为空气污染源指示物和示踪物的研究综述。
Environ Sci Pollut Res Int. 1999;6(3):159-69. doi: 10.1007/BF02987621.
10
Source apportionment: findings from the U.S. Supersites Program.源解析:美国超级站点计划的研究结果
J Air Waste Manag Assoc. 2008 Feb;58(2):265-88. doi: 10.3155/1047-3289.58.2.265.

基于无机和有机特定PM(2.5)每日测量值,使用正定矩阵因子分解法进行源解析。

Source Apportionment Using Positive Matrix Factorization on Daily Measurements of Inorganic and Organic Speciated PM(2.5).

作者信息

Dutton Steven J, Vedal Sverre, Piedrahita Ricardo, Milford Jana B, Miller Shelly L, Hannigan Michael P

机构信息

National Center for Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.

出版信息

Atmos Environ (1994). 2010 Jul 1;44(23):2731-2741. doi: 10.1016/j.atmosenv.2010.04.038.

DOI:10.1016/j.atmosenv.2010.04.038
PMID:22768005
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3388553/
Abstract

Particulate matter less than 2.5 microns in diameter (PM(2.5)) has been linked with a wide range of adverse health effects. Determination of the sources of PM(2.5) most responsible for these health effects could lead to improved understanding of the mechanisms of such effects and more targeted regulation. This has provided the impetus for the Denver Aerosol Sources and Health (DASH) study, a multi-year source apportionment and health effects study relying on detailed inorganic and organic PM(2.5) speciation measurements.In this study, PM(2.5) source apportionment is performed by coupling positive matrix factorization (PMF) with daily speciated PM(2.5) measurements including inorganic ions, elemental carbon (EC) and organic carbon (OC), and organic molecular markers. A qualitative comparison is made between two models, PMF2 and ME2, commonly used for solving the PMF problem. Many previous studies have incorporated chemical mass balance (CMB) for organic molecular marker source apportionment on limited data sets, but the DASH data set is large enough to use multivariate factor analysis techniques such as PMF.Sensitivity of the PMF2 and ME2 models to the selection of speciated PM(2.5) components and model input parameters was investigated in depth. A combination of diagnostics was used to select an optimum, 7-factor model using one complete year of daily data with pointwise measurement uncertainties. The factors included 1) a wintertime/methoxyphenol factor, 2) an EC/sterane factor, 3) a nitrate/polycyclic aromatic hydrocarbon (PAH) factor, 4) a summertime/selective aliphatic factor, 5) an n-alkane factor, 6) a middle oxygenated PAH/alkanoic acid factor and 7) an inorganic ion factor. These seven factors were qualitatively linked with known PM(2.5) emission sources with varying degrees of confidence. Mass apportionment using the 7-factor model revealed the contribution of each factor to the mass of OC, EC, nitrate and sulfate. On an annual basis, the majority of OC and EC mass was associated with the summertime/selective aliphatic factor and the EC/sterane factor, respectively, while nitrate and sulfate mass were both dominated by the inorganic ion factor. This apportionment was found to vary substantially by season. Several of the factors identified in this study agree well with similar assessments conducted in St. Louis, MO and Pittsburgh, PA using PMF and organic molecular markers.

摘要

直径小于2.5微米的颗粒物(PM2.5)与多种不良健康影响相关联。确定对这些健康影响负有最大责任的PM2.5来源,有助于增进对此类影响机制的理解,并实现更具针对性的监管。这为丹佛气溶胶来源与健康(DASH)研究提供了动力,该研究是一项为期多年的来源解析与健康影响研究,依赖于详细的无机和有机PM2.5成分测量。在本研究中,通过将正定矩阵因子分解法(PMF)与每日特定的PM2.5测量结果相结合来进行PM2.5来源解析,这些测量结果包括无机离子、元素碳(EC)、有机碳(OC)以及有机分子标志物。对常用于解决PMF问题的两种模型PMF2和ME2进行了定性比较。许多先前的研究在有限数据集上采用化学质量平衡法(CMB)进行有机分子标志物来源解析,但DASH数据集规模足够大,可使用诸如PMF等多变量因子分析技术。深入研究了PMF2和ME2模型对特定PM2.5成分选择和模型输入参数的敏感性。使用了一系列诊断方法,利用一整年的每日数据及逐点测量不确定度,选择了一个最优的七因子模型。这些因子包括:1)冬季/甲氧基苯酚因子;2)EC/甾烷因子;3)硝酸盐/多环芳烃(PAH)因子;4)夏季/选择性脂肪族因子;5)正构烷烃因子;6)中等氧化态PAH/链烷酸因子;7)无机离子因子。这七个因子在不同程度上与已知的PM2.5排放源存在定性关联。使用七因子模型进行质量分配,揭示了各因子对OC、EC、硝酸盐和硫酸盐质量的贡献。就年度而言,大部分OC和EC质量分别与夏季/选择性脂肪族因子和EC/甾烷因子相关,而硝酸盐和硫酸盐质量则主要由无机离子因子主导。研究发现,这种分配在不同季节有很大差异。本研究中确定的几个因子与在密苏里州圣路易斯市和宾夕法尼亚州匹兹堡市使用PMF和有机分子标志物进行的类似评估结果高度一致。