CN106018195A - Method for estimating concentration of secondary organic carbon in particulate matters in environment air - Google Patents

Method for estimating concentration of secondary organic carbon in particulate matters in environment air Download PDF

Info

Publication number
CN106018195A
CN106018195A CN201610342877.8A CN201610342877A CN106018195A CN 106018195 A CN106018195 A CN 106018195A CN 201610342877 A CN201610342877 A CN 201610342877A CN 106018195 A CN106018195 A CN 106018195A
Authority
CN
China
Prior art keywords
concentration
organic carbon
carbon
secondary organic
soc
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201610342877.8A
Other languages
Chinese (zh)
Inventor
刘效峰
牟玲
白慧玲
张大宇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Taiyuan University of Technology
Original Assignee
Taiyuan University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Taiyuan University of Technology filed Critical Taiyuan University of Technology
Priority to CN201610342877.8A priority Critical patent/CN106018195A/en
Publication of CN106018195A publication Critical patent/CN106018195A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials

Landscapes

  • Chemical & Material Sciences (AREA)
  • Dispersion Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
  • Investigating Or Analyzing Non-Biological Materials By The Use Of Chemical Means (AREA)

Abstract

The invention provides a method for estimating the concentration of secondary organic carbon (SOC) in particulate matters in environment air. The method comprises the following steps: firstly, determining the concentrations of SO4<2->, NO3<->, NH4<+>, organic carbon and element carbon in PM2.5 (Particulate Matter 2.5) in the environment air; calculating by utilizing the concentrations of the organic carbon and the element carbon to obtain the concentration of the secondary organic carbon in the PM2.5; establishing a regression model for describing a mutual relation of the SO4<2->, the NO3<->, the NH4<+> and the secondary organic carbon; finally, estimating the concentration of the secondary organic carbon by applying the model through the concentrations of the SO4<2->, the NO3<-> and the NH4<+> in the PM2.5. The concentration of the secondary organic carbon is estimated by utilizing the correlation between secondary pollutants in the PM2.5 and the problem of how to obtain the concentration of the SOC through directly determining the concentration of secondary inorganic ions in the PM2.5 in the environment air is solved, so that a theoretical foundation is provided for source analysis and environment behavior of the secondary organic carbon.

Description

A kind of method estimating surrounding air fine particle Secondary Organic concentration of carbon
Technical field
The present invention relates to a kind of estimate the method for Secondary Organic concentration of carbon in surrounding air fine particle, especially by building Inorganic ions and secondary in the regression model estimation surrounding air fine particle of secondary organic carbon concentration relationship in vertical fine particle The method of organic carbon concentration.
Technical background
The aerodynamic diameter fine particle less than 2.5 microns claims PM2.5, PM2.5Main component be secondary organic carbon (SOC), secondary organic carbon (SOC) by the precursor such as volatile organic matter or semi-volatile organic matter by gas-solid convert, condensation, Absorption and photochemical reaction etc. generate indirectly, have a major impact health, visibility, weather etc..SOC composition includes multi-ring Aromatic hydrocarbons, n-alkane, organic acid, carbonyl compound etc., some of which material has strong carcinogenecity.For preferably research environment Air fine particles PM2.5Source and harm, the most primary concentration determining that SOC.Currently mainly utilize " organic carbon (OC)/ Elemental carbon (EC) " ratio method, chemotherapy synergism iterative method, radioactive carbon (14C) analyze and aerosol mass spectrometer is estimated The concentration of SOC.The concentration of many research applications " OC/ EC " ratio method estimation SOC, but " OC/ EC " minima is more difficult determines, Collecting test a large amount of PM is needed during estimation SOC concentration2.5Sample.Pertinent literature reports SOC at PM2.5In occupy larger proportion, Surrounding air PM2.5In do not contain only SOC this kind of Secondary Organic pollutant, there is also a large amount of secondary formed sulfate ion (SO4 2-), nitrate ion (NO3 -), ammonium radical ion (NH4 +), various pollutant amalgamations enhance PM2.5Poison to human body Evil effect.
In ambient air particulate matter, particle diameter distribution, spatial distribution and the seasonal variations etc. of inorganic ions and carbon component are subject to always To the attention of people, and become the focus of research both at home and abroad.Beijing Che Gongzhuan and Tsing-Hua University campus PM2.5Middle carbonaceous component accounts for respectively 45% and 48%, SO4 2-、NO3 -、NH4 +It is three kinds of most important ions, accounts for the 37% of Inorganic water-soluble mass of ion respectively, 23% and 20%;Organic substance, SO near Northern Switzerland and the northwestern city of, in urban background point, rural environment air4 2-、NO3 -It is PM2.5 And PM10Significant contributor, and be primarily present in PM2.5In, the other organic substance of urban road and EC are PM2.5And PM10Main Contributor.NO in urban environment air particle3 -、SO4 2-All there is obvious diurnal and seasonal variation.Surrounding air NO3 -'s Gas-solid distribution apparently depends on the meteorological condition such as temperature and relative humidity, and the seasonal variations of meteorological condition causes PM2.5Middle NO3 -Send out Raw large change, summer NO3 -Concentration be substantially less than winter;Low temperature is for secondary SO4 2-Formation do not play an important role, and not It is beneficial to SO4 2-Formation, Autumn of Beijing and SO in summer4 2-Concentration is higher than concentration in winter by 45%;Night is due to NH4NO3Stability and N2O5Hydrolysis, NO in your city's ambient air particulate matter of India Kemp3 -Increase by 500, daytime SO4 2-Significantly increase 20%.
In ambient air particulate matter the dependency of different component be particulate matter origin analysis, secondary pollution environmental behaviour and Forming Mechanism provides important information.Smog box experimentation shows NOx、SO2Existence affect the productivity of SOC.Beijing environment Air PM2.5Middle NO3 -、SO4 2-With NH4 +Between all notable linear correlation, correlation coefficientr 2 It is respectively 0.85 and 0.86, NH4NO3 (NH4)2SO4It is PM2.5In important component.Ram etc. find India Kemp that city surrounding air PM2.5Middle EC-OC, OC-K+All There is significant correlation, show that biomass combustion is the primary discharge source in your city of Kemp.In Pittsburgh's surrounding air fine particle The diurnal variation of Organic aerosol (POA) is notable, reaches peak value congested in traffic morning, and secondary organic aerosol (SOA) Diurnal Variation is relatively steady, and and SO4 2-And NH4 +Change similar, further study show that SOA and SO4 2-Significant correlation (r 2 =0.74), thus SO4 2-Compare O3It is more suitable for the reliable prediction index of SOA concentration.Zhang etc. also find that the particle diameter of POA is in liking root Core modal distribution, and SOA concentrates on accumulation mode, the particle diameter at whole research process SOA is distributed and SO4 2-、NH4 +Behavior one Cause, SOA and NH is described4 +、NO3 -、SO4 2-The most similar, there is inherence mixing between them.This shows NH4 +、NO3 -、SO4 2-With There is certain relation between SOA, therefore can utilize surrounding air PM2.5Quantitative relationship estimation SOC between middle secondary pollution Concentration and environmental behaviour thereof.Yet there are no and be related to PM2.5Between middle secondary pollution, the document report of relational model, more has no There is the report using causes estimation SOC concentration.
Summary of the invention
How the concrete technical problems that the invention solves the problems that is by directly measuring surrounding air PM2.5Middle secondary inorganic from Sub-concentration obtains the problem of SOC concentration, thus provides a kind of method estimating surrounding air fine particle Secondary Organic concentration of carbon.
In order to solve the problems referred to above, the present invention first test environment air PM2.5Middle NH4 +、NO3 -、SO4 2-, OC, EC dense Degree, then sets up sign NH4 +、NO3 -、SO4 2-, the mathematical model of SOC concentration relationship, finally use this model to pass through PM2.5Middle NH4 +、NO3 -、SO4 2-The concentration of concentration estimation SOC.
The present invention is based on above-mentioned thinking, at PM2.5Middle NH4 +、NO3 -、SO4 2-, on the basis of SOC correlation research, further One estimation surrounding air PM is provided2.5The method of middle SOC concentration, the concrete steps of the method carry out as follows:
(1) types of functionality district Various Seasonal surrounding air PM is gathered respectively2.5Sample;
(2) PM is measured2.5Middle SO4 2-、NO3 -、NH4 +, organic carbon and the concentration of elemental carbon;
(3) measurement result in above-mentioned steps (2), application " organic carbon/elemental carbon " ratio method is utilized to determine PM2.5Middle secondary has The concentration of machine carbon;
(4) to types of functionality district Various Seasonal PM2.5Middle SO4 2-、NO3 -And NH4 +Carry out dependency with secondary organic carbon respectively to grind Study carefully;
(5) description SO is set up4 2-、NO3 -And NH4 +Regression model with secondary organic carbon mutual relation;
(6) PM is utilized2.5Middle SO4 2-、NO3 -And NH4 +Concentration, the concentration of application regression model estimation secondary organic carbon.At above-mentioned In the technical scheme of invention, utilize OC, EC concentration value measured, use " OC/EC " ratio method to calculate the concentration of SOC, for building Vertical inorganic ions and SOC concentration relationship model provide basic data;Wherein, described " OC/EC " ratio method and sign secondary are dirty The mathematical model of dye thing relation refers to below equation:
(1)
(2)
In formula:C SOC 、C TOC 、C OC 、C EC Represent surrounding air PM respectively2.5Middle SOC, total organic carbon (TOC), OC, EC Mass concentration, g m-3
(C OC / C EC ) min Surrounding air PM2.5The minima of middle OC, EC mass concentration ratio;
Represent surrounding air PM respectively2.5Middle NH4 +、NO3 -、SO4 2-Mass concentration, g m-3
K 1 、K 2 、K 3 、K 4 The coefficient determined by SPSS software regression model, this coefficient is to utilize types of functionality district difference season This region of sign NH that joint secondary inorganic ions and Secondary Organic concentration of carbon determine4 +、NO3 -And SO4 2-Overall with secondary organic carbon The coefficient of relation regression model;
A 1 、A 2 、A 3 、A 4 The factor that model is modified by the impact in types of functionality district;
B 1 、B 2 、B 3 、B 4 Four season meteorological condition, the impact factor that model is modified of polluter change.
The above-mentioned a kind of estimation surrounding air PM of the present invention2.5The method of middle SOC concentration, compared with prior art, it highlights Feature and marked improvement be: propose a kind of new estimation surrounding air PM2.5The method of middle Secondary Organic concentration of carbon, for PM2.5Origin analysis and environmental behaviour provide theoretical basis;Establish sign PM2.5The recurrence of relation between middle secondary pollution Model, indicates the dependency between inorganic ions and SOC, utilizes the concentration of inorganic ion concentration estimation SOC, fills up current state The research on border is blank;Regression model is corrected by the impact correction factor in types of functionality district, Various Seasonal meteorological factor, This model is made to have wider application;By PM2.5Middle secondary pollution correlation research is applied to estimate SOC concentration, for environment The research of scientific domain secondary pollution opens new approaches.
The present invention estimates surrounding air PM2.5The method of middle SOC concentration, described NH4 +、NO3 -、SO4 2-Dense with OC, EC Degree is tested with ion chromatograph and hot reflection method respectively, and means of testing is reliable and stable, it is ensured that relevant between secondary pollution The accuracy of Journal of Sex Research.
Accompanying drawing explanation
Fig. 1 is the implementation route schematic diagram of the inventive method.
Fig. 2 is quartz filter sample treatment programme diagram of the present invention.
Detailed description of the invention
The present invention is with Taiyuan City surrounding air PM2.5As a example by the estimation analysis of middle SOC concentration, in conjunction with accompanying drawing, by embodiment to this Bright detailed description of the invention is further detailed, and is capable of being as the criterion with person of ordinary skill in the field.This Embodiment is detailed description of the invention, and the present invention does not make any restriction.
Implement a kind of estimation surrounding air PM provided by the present invention2.5The method of middle SOC concentration, the method specifically includes Following steps:
The first, gathering sample, sampling optimization is environmental air quality monitoring point position, Taiyuan City, is positioned at types of functionality district, i.e. industry The regions such as district, residential block, areal of traffic concentration, shopping centre;Sampling period be four seasons non-sleet strong wind sky;Number of samples with Correlation analysis sample number can be met and Taiyuan City's ambient air quality can be represented be limited;Sampling time can be according to local air The sampling efficiency of cleannes, inorganic ions used and the detection limit of concentration of carbon method of testing and instrument determine, with energy The requirement enough meeting component analysis is principle.Sampling, other require all by country's sampling enforcement of regulations.
Surrounding air PM2.5Gather: the sampling in the most continuous 7 days respectively of four seasons, Qingdao Laoshan selected by sampling apparatus Traffic sampling device in the KB120 type that instrument institute produces, incising control is 2.5 microns.Environment is gathered with quartz fibre filter membrane Air PM2.5Sample, in order to avoid the impact of residual carbon and other impurity in filter membrane, by filter membrane in Muffle furnace 450 DEG C before sampling Calcination 4.5 hours.
The second, the surrounding air PM that will gather2.5After sample is all processed by certain procedures, see accompanying drawing 2, utilize Switzerland Ten thousand lead to 861 couples of Suppressed ion chromatography instrument test analysis NH4 +、NO3 -、SO4 2-Concentration, utilizes the hot light carbon that U.S. desert is developed Analyser, uses hot reflection method to carry out the concentration determination analysis of OC, EC.
Above-mentioned steps intermediate ion chromatograph method of the present invention and hot reflection method are current widely used inorganic ions, carbon The assay method of component, its analysis method is prior art, and ripe, analysis result has good reproducibility.
3rd, utilize OC, EC concentration of test gained, use " OC/EC " minimum ratio method to calculate PM2.5Middle SOC's is dense Degree.
Mathematical model in above-mentioned steps of the present invention is as follows:
(1)
In formula:C SOC 、C TOC 、C OC 、C EC Represent surrounding air PM respectively2.5The mass concentration of middle SOC, TOC, OC, EC, g m-3(C OC /C EC ) min For surrounding air PM2.5The minima of middle OC, EC mass concentration ratio.
" OC/EC " minimum ratio method is to estimate the common method of SOC concentration at present, and the determination of " OC/EC " minima is to meter Calculate result and have considerable influence, the present invention is all worth to " OC/EC " minima by multiple samples of different sampling stages, subtracts Little sampling and the error of the process of analysis.Above-mentioned steps of the present invention method particularly includes: owing to the emission source of OC, EC is different, four Individual season " OC/EC " minima is different, to sampling in the most continuous 7 days respectively in spring, takes wherein PM2.5OC and EC concentration in sample The meansigma methods of 3 days samples that ratio is minimum is " OC/EC " minima, in like manner obtains " OC/EC " minima in other three seasons. For PM2.5Middle secondary pollution correlation research provides infallible data.
4th, utilize SPSS software to SO4 2-、NO3 -、NH4 +Inorganic ions and SOC carry out correlation research, find and SOC The inorganic ions of significant correlation.
Smog box experimentation shows NOx、SO2Existence affect the productivity of secondary organic aerosol, spot sampling analysis is sent out Existing surrounding air PM2.5Middle SO4 2-、NO3 -With NH4 +Between notable linear correlation, in particulate matter, the particle diameter of secondary organic aerosol divides Cloth and SO4 2-、NH4 +Behavior consistent, there is inherence between secondary organic aerosol with inorganic ions and mix.Based on this, the present invention Analyze types of functionality district Various Seasonal PM2.5Middle SO4 2-、NO3 -、NH4 +Inorganic ions and the dependency of SOC, probe into functional areas and season Joint, on inorganic ions and the impact of SOC dependency, is sought the inorganic ions with SOC concentration significant correlation, for characterizing respectively SO4 2-、NO3 -、NH4 +Inorganic ions provides support with the foundation of SOC mutual relation model.
5th, description SO is set up4 2-、NO3 -And NH4 +Regression model with SOC overall relation.
Due to PM2.5Middle SOC is more difficult to be separated from OC, therefore cannot directly test the concentration of SOC.Can utilize at present " OC/EC " minimum ratio method, chemotherapy synergism iterative method, radioactive carbon (14C) method such as analysis, aerosol mass spectrometer In estimation particulate matter, the concentration of SOC, there are no and utilize PM2.5Mutual relation estimation SOC concentration between middle secondary pollution.This Bright to Taiyuan City's Various Seasonal PM2.5Middle SOC and SO4 2-、NO3 -、NH4 +On the basis of correlation research, SPSS software is utilized to build Vertical sign inorganic ions and the regression model of SOC concentration relationship.
(2)
In formula:K 1 、K 2 、K 3 、K 4 Refer to the coefficient determined by SPSS software regression model;Respectively Represent surrounding air PM2.5Middle NH4 +、NO3 -、SO4 2-Concentration, g m-3
Process SO set up by model4 2-、NO3 -、NH4 +Concentration utilize ion chromatograph test to obtain, the concentration of SOC utilizes heat Reflection method tests OC and the EC concentration obtained, and utilizes formula (1) to be calculated in conjunction with " OC/EC " minimum ratio method, uses SPSS software determines coefficientK 1 、K 2 、K 3 、K 4
6th, types of functionality district Various Seasonal surrounding air PM is analyzed2.5Middle SO4 2-、NO3 -And NH4 +Mutual relation, to mould Type (2) is modified, and be applied widely regression model (3).
(3)
In formula:Represent surrounding air PM respectively2.5Middle SOC, NH4 +、NO3 -、 SO4 2-Mass concentration, g m-3
K 1 、K 2 、K 3 、K 4 The coefficient determined by SPSS software regression model, this coefficient is to utilize types of functionality district difference season This region of sign NH that joint secondary inorganic ions and Secondary Organic concentration of carbon determine4 +、NO3 -And SO4 2-Overall with secondary organic carbon The coefficient of relation regression model;
A 1 、A 2 、A 3 、A 4 The factor that model is modified by the impact in types of functionality district;
B 1 、B 2 、B 3 、B 4 Four season meteorological condition, the impact factor that model is modified of polluter change.
7th, PM is utilized2.5Middle SO4 2-、NO3 -、NH4 +Inorganic ion concentration, the concentration of application model (3) estimation SOC.
Characterize PM2.5Middle SO4 2-、NO3 -、NH4 +After the model of inorganic ions and SOC relation is set up, can be obtained by test SO4 2-、NO3 -、NH4 +Concentration estimation PM2.5The concentration of middle SOC.Present invention shows that PM2.5Mutual between middle secondary pollution Relation, for determining that SOC concentration provides a kind of new method, also provides theoretical base for SOC origin analysis and environment and behavior study Plinth.

Claims (3)

1. the method estimating surrounding air fine particle Secondary Organic concentration of carbon, described fine particle is PM2.5;Described side Method is first mensuration surrounding air PM2.5Middle SO4 2-、NO3 -、NH4 +, organic carbon and the concentration of elemental carbon, and utilize organic carbon and unit Element concentration of carbon obtains PM2.5The concentration of middle secondary organic carbon;Then set up description SO4 2-、NO3 -And NH4 +Mutual with secondary organic carbon The regression model of relation;Finally apply this model assessment PM2.5The concentration of middle secondary organic carbon.
2. the method for claim 1, described method follows these steps to carry out:
(1) types of functionality district Various Seasonal surrounding air PM is gathered respectively2.5Sample;
(2) PM is measured2.5Middle SO4 2-、NO3 -、NH4 +, organic carbon and the concentration of elemental carbon;
(3) measurement result in above-mentioned steps (2), application " organic carbon/elemental carbon " ratio method is utilized to determine PM2.5Middle secondary has The concentration of machine carbon;
(4) to types of functionality district Various Seasonal PM2.5Middle SO4 2-、NO3 -And NH4 +Correlation research is carried out respectively with secondary organic carbon;
(5) description SO is set up4 2-、NO3 -And NH4 +Regression model with secondary organic carbon mutual relation;
(6) PM is utilized2.5Middle SO4 2-、NO3 -And NH4 +Concentration, the concentration of application regression model estimation secondary organic carbon.
3. method as claimed in claim 1 or 2, described SO4 2-、NO3 -And NH4 +Recurrence mould with secondary organic carbon mutual relation Type is expressed as:
In formula:Represent surrounding air PM respectively2.5Middle secondary organic carbon, NH4 +、NO3 -、 SO4 2-Mass concentration, g m-3
K 1 、K 2 、K 3 、K 4 The coefficient determined by SPSS software regression model, this coefficient is to utilize types of functionality district Various Seasonal This region of sign NH that secondary inorganic ions and Secondary Organic concentration of carbon determine4 +、NO3 -And SO4 2-Totally close with secondary organic carbon It it is the coefficient of regression model;
A 1 、A 2 、A 3 、A 4 The factor that model is modified by the impact in types of functionality district;
B 1 、B 2 、B 3 、B 4 Four season meteorological condition, the impact factor that model is modified of polluter change.
CN201610342877.8A 2016-05-23 2016-05-23 Method for estimating concentration of secondary organic carbon in particulate matters in environment air Pending CN106018195A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610342877.8A CN106018195A (en) 2016-05-23 2016-05-23 Method for estimating concentration of secondary organic carbon in particulate matters in environment air

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610342877.8A CN106018195A (en) 2016-05-23 2016-05-23 Method for estimating concentration of secondary organic carbon in particulate matters in environment air

Publications (1)

Publication Number Publication Date
CN106018195A true CN106018195A (en) 2016-10-12

Family

ID=57096836

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610342877.8A Pending CN106018195A (en) 2016-05-23 2016-05-23 Method for estimating concentration of secondary organic carbon in particulate matters in environment air

Country Status (1)

Country Link
CN (1) CN106018195A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107516018A (en) * 2017-09-06 2017-12-26 太原理工大学 A kind of method for estimating coking coke oven top uncontrollable discharge soot particulate matter emission factor
CN108693084A (en) * 2017-04-06 2018-10-23 富士电机株式会社 Generating source analytical equipment and generating source analysis system
CN111929207A (en) * 2019-09-05 2020-11-13 电子科技大学中山学院 Sampling method and device for atmospheric micro-particles
CN112730575A (en) * 2020-12-18 2021-04-30 太原理工大学 PM (particulate matter) capable of analyzing ambient air2.5Method for obtaining primary sulfate

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101419208A (en) * 2008-11-29 2009-04-29 太原理工大学 Method for resolving collinearity problem in origin parse for particles in air
US20110071764A1 (en) * 2006-10-17 2011-03-24 Prather Kimberly A Biological Cell Sorting and Characterization Using Aerosol Mass Spectrometry
CN102590457A (en) * 2012-02-21 2012-07-18 四川农业大学 Method for identifying stable carbon isotope composition of isoprene in atmosphere
CN103226128A (en) * 2013-04-10 2013-07-31 太原理工大学 Method for analyzing source of secondary organic carbon in ambient air fine particles

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110071764A1 (en) * 2006-10-17 2011-03-24 Prather Kimberly A Biological Cell Sorting and Characterization Using Aerosol Mass Spectrometry
CN101419208A (en) * 2008-11-29 2009-04-29 太原理工大学 Method for resolving collinearity problem in origin parse for particles in air
CN102590457A (en) * 2012-02-21 2012-07-18 四川农业大学 Method for identifying stable carbon isotope composition of isoprene in atmosphere
CN103226128A (en) * 2013-04-10 2013-07-31 太原理工大学 Method for analyzing source of secondary organic carbon in ambient air fine particles

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Z. B. YUAN ETC: "Application of positive matrix factorization in estimating aerosol secondary organic carbon in Hong Kong and its relationship with secondary sulfate", 《ATMOSPHERIC CHEMISTRY AND PHYSICS》 *
王广华 等: "上海市大气颗粒物中有机碳(OC)与元素碳(EC)的粒径分布", 《环境科学》 *
瞿群 等: "广州城区PM2.5中水溶性有机碳浓度特征及其来源", 《环境科学与技术》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108693084A (en) * 2017-04-06 2018-10-23 富士电机株式会社 Generating source analytical equipment and generating source analysis system
CN107516018A (en) * 2017-09-06 2017-12-26 太原理工大学 A kind of method for estimating coking coke oven top uncontrollable discharge soot particulate matter emission factor
CN111929207A (en) * 2019-09-05 2020-11-13 电子科技大学中山学院 Sampling method and device for atmospheric micro-particles
CN112730575A (en) * 2020-12-18 2021-04-30 太原理工大学 PM (particulate matter) capable of analyzing ambient air2.5Method for obtaining primary sulfate
CN112730575B (en) * 2020-12-18 2024-04-26 太原理工大学 Resolving ambient air PM2.5Method for obtaining primary sulfate

Similar Documents

Publication Publication Date Title
Gao et al. Insights into the chemical characterization and sources of PM2. 5 in Beijing at a 1-h time resolution
Niu et al. PM2. 5 from the Guanzhong Plain: Chemical composition and implications for emission reductions
Bodor et al. Major air pollutants seasonal variation analysis and long-range transport of PM 10 in an urban environment with specific climate condition in Transylvania (Romania)
Tao et al. Uncertainty assessment of source attribution of PM2. 5 and its water-soluble organic carbon content using different biomass burning tracers in positive matrix factorization analysis—A case study in Beijing, China
Jia et al. A novel technique for quantifying the regional component of urban aerosol solely from its sawtooth cycles
Keuken et al. Source contributions to PM2. 5 and PM10 at an urban background and a street location
Tan et al. Long-term trends of chemical characteristics and sources of fine particle in Foshan City, Pearl River Delta: 2008–2014
Tiwari et al. Intra-urban variability of particulate matter (PM2. 5 and PM10) and its relationship with optical properties of aerosols over Delhi, India
Zhang et al. Seasonal variations and chemical characteristics of PM2. 5 in Wuhan, central China
Pan et al. Wet and dry deposition of atmospheric nitrogen at ten sites in Northern China
Birmili et al. Long-term observations of tropospheric particle number size distributions and equivalent black carbon mass concentrations in the German Ultrafine Aerosol Network (GUAN)
Tang et al. Surface ozone trend details and interpretations in Beijing, 2001–2006
Shen et al. Chemical composition of PM10 and PM2. 5 collected at ground level and 100 meters during a strong winter-time pollution episode in Xi'an, China
CN106018195A (en) Method for estimating concentration of secondary organic carbon in particulate matters in environment air
Gao et al. Tracer-based source apportionment of polycyclic aromatic hydrocarbons in PM 2.5 in Guangzhou, southern China, using positive matrix factorization (PMF)
Fang et al. Characteristics of atmospheric CO2 and CH4 at the Shangdianzi regional background station in China
Zhao et al. Temporal variations and source apportionment of Hulis-C in PM2. 5 in urban Shanghai
CN103226128A (en) Method for analyzing source of secondary organic carbon in ambient air fine particles
Rashid et al. PM10 black carbon and ionic species concentration of urban atmosphere in Makassar of South Sulawesi Province, Indonesia
Petetin et al. A novel model evaluation approach focusing on local and advected contributions to urban PM 2.5 levels–application to Paris, France
Aneja et al. Characterization of major chemical components of fine particulate matter in North Carolina
Wang et al. Measurements of ultrafine particle size distribution near Rome
Lin et al. Ultrafine particles and PM2. 5 at three urban air monitoring stations in northern Taiwan from 2011 to 2013
Wen et al. PM2. 5 chemical composition analysis in different functional subdivisions in Tangshan, China
Istiana et al. Causality analysis of air quality and meteorological parameters for PM2. 5 characteristics determination: Evidence from Jakarta

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20161012

WD01 Invention patent application deemed withdrawn after publication