CN109883931A - A kind of PM2.5Online Source Apportionment and measuring system - Google Patents

A kind of PM2.5Online Source Apportionment and measuring system Download PDF

Info

Publication number
CN109883931A
CN109883931A CN201910227126.5A CN201910227126A CN109883931A CN 109883931 A CN109883931 A CN 109883931A CN 201910227126 A CN201910227126 A CN 201910227126A CN 109883931 A CN109883931 A CN 109883931A
Authority
CN
China
Prior art keywords
particulate matter
polarization
pollution sources
online source
wave plate
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.)
Granted
Application number
CN201910227126.5A
Other languages
Chinese (zh)
Other versions
CN109883931B (en
Inventor
曾毛毛
邱致刚
王勇平
吴瑜笋
李艳丽
易志荣
胡泽军
魏林辉
文新江
丁银
邬志斌
刘燕晓
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.)
Bixing IOT Technology (Shenzhen) Co.,Ltd.
Original Assignee
ZHONGXING INSTRUMENT (SHENZHEN) Co Ltd
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 ZHONGXING INSTRUMENT (SHENZHEN) Co Ltd filed Critical ZHONGXING INSTRUMENT (SHENZHEN) Co Ltd
Priority to CN201910227126.5A priority Critical patent/CN109883931B/en
Publication of CN109883931A publication Critical patent/CN109883931A/en
Application granted granted Critical
Publication of CN109883931B publication Critical patent/CN109883931B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The invention discloses a kind of online Source Apportionment of PM2.5 and measuring systems, measuring system includes laser, polarization beam apparatus, wave plate, piano convex cylindrical lens, measurement chamber, multi-angle Stokes Vector measuring device and data acquisition card, laser is located in a straight line with polarization beam apparatus, wave plate, piano convex cylindrical lens, is equipped with light trapping behind measurement chamber;Multi-angle Stokes Vector measuring device is arranged along the periphery of measurement chamber and connect with data acquisition card, and data acquisition card is connect with computer.The present invention can be applied individually to any PM2.5Online source resolution;Meanwhile the particulate matter physical message that measuring system obtains can be combined with individual particle mass spectrograph, be jointly used in PM2.5Online source resolution;The device of whole system is simple, cost is lower;Highest per second is detectable to be up to 3000 particulate counts according to, it can be achieved that quickly online source resolution monitoring, temporal resolution reach minute grade;Suitable for each department large-scale promotion and application.

Description

A kind of PM2.5Online Source Apportionment and measuring system
Technical field
The present invention relates to environment monitoring device technical fields, more particularly to one kind to be directed to PM2.5Online Source Apportionment and Measuring system.
Background technique
PM2.5Pollution is China or even whole world question of common concern, it normally goes on a journey with people and health breath ceases It is related.With PM2.5The maturation and application of concentration monitor technology, how to effectively control with reduce PM2.5Pollution becomes social concerns Emphasis.PM2.5Source resolution refer to by the methods of chemistry, physics, mathematics be qualitative or quantitative judge environment receptor in atmosphere The source of Particulate Pollution is science, the effective basis for carrying out gray haze prevention and treatment and premise, is that national government formulates air quality The important evidence of plan up to standard.
Common Source Apportionment of Atmospheric Particulate model includes emission inventories, diffusion model and receptor model.Emission inventories Referred to as source emission inventory method is to investigate on specific time and space scale and count pollution sources, according to the work of not homologous class Dynamic horizontal and emission factor model, establishes pollution sources inventory database, to assess the discharge amount of not homologous class, with true Fixed main pollution source.Emission inventories are mainly used for the big regional study such as countries and cities, and it is small to apply to area, county, industrial area etc. Then there is certain error when region;Diffusion model is also referred to as source model, it is from pollution sources, in each pollutant source emission or row Put the spatial and temporal distributions for simulating or predicting the particle concentration under DIFFERENT METEOROLOGICAL CONDITIONS in the case that intensity determines, by horizontal and The processes such as the conveying, reaction of simulation particulate matter, clear, estimate different pollution sources to the contribution feelings of pollutant concentration in vertical direction Condition can establish good quantitative relationship between fixed or mobile pollution source and atmosphere particle concentration.The office of diffusion model Sex-limited to be that it relies on local meteorology data, the error of meteorological data will lead to the inaccuracy of result, and it can not be used In the uncertain open-source of intensity, it is not used to the particulate matter open-source having a large capacity and a wide range, is widely used in primary big in zonule The spatial distribution of aerated particle object;Receptor model mainly determines pollution sources by the chemical component of analysis receptor and pollution sources sample Contribution to receptor can be divided into the unknown receptor model in source and source known receptor model according to whether the detailed source category information of needs.
Based on the prior art, chemical constituent continuous observation and the combination of source resolution model are PM2.5The primary hand of online source resolution Section.Due to PM2.5The complexity in source and the quick of weather system change the chemical constituent and concentration level for leading to it in an atmosphere Also in Real-time, compared with its changing process of pollution is grasped under high time resolution, just it cannot can not understand in depth and monitor greatly The essential reason and formation mechenism of gas PM2.5 pollution, therefore online source resolution can conveniently be sent out in heavy air pollution process early warning and prevention and control Wave important function.
There are mainly two types of the robots for being applied to online source resolution at present: one is the component companies based on aerosol mass spectrometry Continuous observation;Another kind is the component continuous observation based on the combination of 3 class on-line instruments, respectively online ion chromatography (it is water-soluble from Son), online EC/OC and online heavy metal instrument.The country is to aerosol mass spectrometry especially individual particle aerosol flight time mass spectrum (SPAMS) be applied to component characteristics analysis and the research of origin analysis be more, and to second of research then concentrate on it is offline/ Line method comparison, the heavy air pollution process origin cause of formation and law-analysing etc., by 3 class chemical constituent online observation logging data applications in receptor model The research for parsing pollution source is more rare.
PM is believed with domestic standing grain2.5Online source resolution mass spectrum monitoring system is representative, is realized using individual particle mass spectrum detection PM2.5Online source resolution carry out at home by more than 100 cities.For the system price generally at 4,000,000 yuan or more, each second is detectable About 20 particulate matter spectrum informations, but this kind of generally existing following problems of source resolution system: 1, it is expensive, most cities, Regional finance is unbearable, it is difficult to large-scale application;2, the receptor analytic modell analytical model based on chemical feature needs to rely on largely Particle chemical constituent information, individual particle mass spectrograph about 20 particulate matter spectrum informations of most detections per second, data volume is on the low side, holds It is larger to easily lead to source resolution resultant error;3, as China's air pollution situation is increasingly complicated, the source based on Chemical Composition Characteristics Analytic method is unable to satisfy all demands, has that the problem of co-linear nature error is larger in particular for different pollution sources, because This reinforces the online Source Apportionment based on much information source and technological means gradually by the concern of researcher.
Particulate matter physical features include particle size, complex refractivity index, pattern, structure etc..In recent years, comprehensive based on particulate matter The Source apportionment of feature is got more and more attention, and particulate matter physical characteristic information gradually starts to be applied to particulate matter source resolution.No It is different due to its mechanism of production and process with the particulate matter of discharge of pollutant sources, often lead to the physical features point of particulate matter Cloth has otherness, to will cause measurement and the biggish error of source resolution generation.
Summary of the invention
The technical problem to be solved by the present invention is in view of the drawbacks of the prior art, provide a kind of low cost, can be quickly online Source resolution, the PM for being conducive to industrialization2.5Online Source Apportionment and measuring system.
In order to solve the above technical problems, the present invention adopts the following technical scheme: a kind of PM2.5The measurement system of online source resolution System, it is characterised in that: include laser, polarization beam apparatus, wave plate, piano convex cylindrical lens, measurement chamber, multi-angle Stokes Vector measurement device and data acquisition card, laser are located in a straight line with polarization beam apparatus, wave plate and piano convex cylindrical lens, Polarization beam apparatus is aligned with the irradiation mouth of laser, and wave plate is set to behind polarization beam apparatus, and piano convex cylindrical lens are set to Behind wave plate, measurement chamber is located at behind piano convex cylindrical lens, is equipped with light trapping, light trapping and plano-convex behind measurement chamber Cylindrical lens, wave plate and polarization beam apparatus are located in a straight line;Plane one end of piano convex cylindrical lens is towards measurement zone, convex surface One end is then towards wave plate;Multi-angle Stokes Vector measuring device forms quilt in measurement chamber along the periphery setting of measurement chamber Survey several scattering flash ranging measuring angles of particulate matter;Multi-angle Stokes Vector measuring device is connect with data acquisition card, letter Number capture card is connect with computer.
The core of this system is to obtain aerosol particles by micro by Polarization Detection and polarize physical characteristic information;Utilize particle swarm Polarization physical characteristic information online source resolution result is obtained by corresponding algorithm.
Preferably, the measurement angle of the multi-angle Stokes Vector measuring device include but is not limited to 10 degree, 30 degree, 60 degree, 85 degree and 115 degree, it can be realized the Stokes Vector detection of multi-angle scattering light, informative.
Further, the polarization beam apparatus and wave plate combined, according to actual measurement demand, adjustable that any line is made is inclined Vibration, circular polarization and elliptical polarization.
Further, the Stokes Vector measuring device, measurement including but not limited to horizontal linear polarization, vertical line are inclined Vibration, 45 degree of liner polarization and circular polarizations.
PM based on aforementioned measuring system2.5Online Source Apportionment, it is characterised in that: the online Source Apportionment is base In the online source resolution algorithm of particulate matter polarization physical features, it is divided into two stages:
First stage is that pollution sources polarize physical features spectrum foundation, and process is as follows, and wherein primary pollution source has m kind:
1) multi-angle polarized light scatter PM is used2.5Aerosol particles by micro measuring system acquires m kind discharge of pollutant sources particulate matter, often A particulate matter acquisition polarization road index signal n is equivalent to a n dimension polarization physical features vector [a1,a2,...,an] description One particulate matter;The probability distribution p of every kind of pollution sources particulate matter n polarization indexs is counted respectivelyi,j, i.e. i-th kind of pollution sources particle The road Wuj polarizes physical features probability distribution, defines pi,j(i=1,2 ..., m;J=1,2 ..., n) to be combined into pollution sources more for collection Dimension polarization physical features distributed data composes library;pi(aj) be expressed as particulate matter jth item to polarize index being ajWhen, particulate matter belongs to The probability of i-th kind of pollution sources, pi(aj) established probability distribution p can be passed throughi,jData spectrum library is tabled look-up acquisition;
2) probability P that each particulate matter belongs to every kind of pollution sources is calculated separatelyi, calculation formula are as follows:Define PiMaximal term is the particulate matter individual particle recognition result;
3) for every kind of pollution sources, the individual particle recognition result of M particulate matter is counted respectively, statistical result is normalized, Obtain pollution sources polarization identification dactylogram Ki(i=1,2 ..., m), KiCitation form are as follows: Ki=[k1,k2,...,km], KiObject Manage meaning are as follows: to i-th kind of pollution sources particulate matter, there is k1The individual particle of accounting is identified as having k from the 1st kind of pollution sources2Accounting Individual particle be identified as from the 2nd kind of pollution sources ..., and so on;Wherein,
Second stage is PM2.5Online source resolution, algorithm flow are as follows:
1) multi-angle polarized light scatter PM is used2.5Aerosol particles by micro measuring device, acquisition measure the PM in surrounding air2.5? Grain object data;
2) probability P that each particulate matter belongs to every kind of pollution sources is calculatedi, calculation formula are as follows:Define PiMaximal term is the particulate matter individual particle recognition result;
3) it counts the individual particle recognition result of all particulates in a measurement period and normalizes, be as a result defined as current The polarization for surveying particulate matter identifies fingerprint, is counted as K=[k1,k2,...,km], physical significance is expressed as having in actual measurement particulate matter k1The individual particle of accounting is identified as having k from the 1st kind of pollution sources2The individual particle of accounting is identified as from the 2nd kind of pollution Source ..., and so on;It is same to meet
4) the polarization identification fingerprint for surveying particulate matter is equivalent to the linear superposition of known pollution sources polarization identification fingerprint, such as Shown in following formula:And this online source resolution model is equivalent to solve aforesaid equation optimal solutionSo that | | e | |2It is minimum;
The abnormal conditions such as solution are born to avoid obtaining, introduce following constraint condition:
It is solved using Lagrangian optimization method, obtains online source resolution result
In step 1) in the first stage, n≤20.
Library is composed by the pollution sources multidimensional polarization characteristic distributed data that first stage each step is established and pollution sources polarization is known Other fingerprint spectrum library is the data basis that second stage realizes online source resolution;The practical pollution sources of data spectrum library and each department are clear It is single related, data spectrum library can be regularly updated according to the actual situation.
Method and measuring system provided by the invention, can be applied individually to any PM2.5Online source resolution;Meanwhile measuring system The particulate matter physical message of acquisition can be with individual particle as a kind of innovative supplement of existing particle chemical constituent system Mass spectrograph combination, is jointly used in PM2.5Online source resolution;The device of whole system is simple, cost is lower;Highest per second can be examined It surveys and is up to 3000 particulate counts according to, it can be achieved that quickly online source resolution monitoring, temporal resolution reach minute grade;Suitable for various regions Area's large-scale promotion and application.
Detailed description of the invention
Fig. 1 is measuring system schematic diagram of the present invention;
Fig. 2 is the flow chart of analytic method of the present invention;
Fig. 3 is pollution sources polarization spectrum of the present invention library Establishing process figure;
Fig. 4 is the online source resolution algorithm flow chart of the present invention;
Fig. 5 is that 4 kinds of pollution sources of the invention are blended in line source parsing test error statistical result bar chart.
In Fig. 1,1 is laser, and 2 be polarization beam apparatus, and 3 be wave plate, and 4 be piano convex cylindrical lens, and 5 be measurement chamber, and 6 be light Trap, 10 be multi-angle Stokes Vector measuring device, and 11 be data acquisition card.
Specific embodiment
In the present embodiment, referring to Fig.1, the online Source Apportionment of the PM2.5 and measuring system include laser 1, partially Vibration beam splitter 2, wave plate 3, piano convex cylindrical lens 4, measurement chamber 5, multi-angle Stokes Vector measuring device 10 and signal acquisition Card 11, laser 1 is located in a straight line with polarization beam apparatus 2, wave plate 3 and piano convex cylindrical lens 4, polarization beam apparatus 2 with it is sharp The irradiation mouth of light device 1 is aligned, and wave plate 3 is set to behind polarization beam apparatus 2, after piano convex cylindrical lens 4 are set to wave plate 3 Face, measurement chamber 5 are located at behind piano convex cylindrical lens 4, are equipped with light trapping 6, light trapping 6 and plano-convex column behind measurement chamber 5 Face lens 4, wave plate 3 and polarization beam apparatus 2 are located in a straight line;Plane one end direction measurement chamber 5 of piano convex cylindrical lens 4, Convex surface one end is then towards wave plate 3;Multi-angle Stokes Vector measuring device 10 is formed and is surveyed along the periphery setting of measurement chamber 5 Five scattering flash ranging measuring angles that particulate matter is tested in chamber 5 are measured, five angles are θ1、θ2、θ3、θ4、θ5;Multi-angle Stokes to Measuring device 10 is connect with data acquisition card 11, and data acquisition card 11 is connect with computer.
The measurement angle of the multi-angle Stokes Vector measuring device 10 include 10 degree, 30 degree, 60 degree, 85 degree and 115 degree, naturally it is also possible to using other angles, can be realized the Stokes Vector detection of multi-angle scattering light, information content It is abundant.
The measurement object of the multi-angle Stokes Vector measuring device 10 includes but is not limited to horizontal linear polarization, vertical Linear polarization, 45 degree of liner polarization and circular polarizations realize the multidimensional polarization state detection of scattering light.
The polarization beam apparatus 2 and wave plate 3 combine, including but not limited to horizontal linear polarization, 45 degree of linear polarizations or circular polarization, Its incident light polarization state is adjustable that any linear polarization, circular polarization or elliptical polarization is made according to actual measurement demand.
Referring to Fig. 2, Fig. 3 and Fig. 4, the core of this system is that it is special to obtain aerosol particles by micro polarization physics by Polarization Detection Reference breath;Online source resolution result is obtained by corresponding algorithm using the polarization physical characteristic information of particle swarm.
PM based on aforementioned measuring system2.5Online Source Apportionment, the online Source Apportionment are to be polarized based on particulate matter The online source resolution algorithm of physical features, is divided into two stages:
First stage is that pollution sources polarize physical features spectrum foundation, and process is as follows, and wherein primary pollution source has m kind:
1) multi-angle polarized light scatter PM is used2.5Aerosol particles by micro measuring system acquires m kind discharge of pollutant sources particulate matter, often A particulate matter acquisition polarization road index signal n (n≤20) is equivalent to a n dimension polarization physical features vector [a1,a2,..., an] one particulate matter of description;The probability distribution p of every kind of pollution sources particulate matter n polarization indexs is counted respectivelyi,j, i.e. i-th kind of dirt Dye source particulate matter jth road polarizes physical features probability distribution, defines pi,j(i=1,2 ..., m;J=1,2 ..., n) collection be combined into Pollution sources multidimensional polarizes physical features distributed data and composes library;pi(aj) be expressed as particulate matter jth item to polarize index being ajWhen, particle Object belongs to the probability of i-th kind of pollution sources, pi(aj) established probability distribution p can be passed throughi,jData spectrum library is tabled look-up acquisition;
2) probability P that each particulate matter belongs to every kind of pollution sources is calculated separatelyi, calculation formula are as follows:Define PiMaximal term is the particulate matter individual particle recognition result;
3) for every kind of pollution sources, the individual particle recognition result of M particulate matter is counted respectively, statistical result is normalized, Obtain pollution sources polarization identification dactylogram Ki(i=1,2 ..., m), KiCitation form are as follows: Ki=[k1,k2,...,km], KiObject Manage meaning are as follows: to i-th kind of pollution sources particulate matter, there is k1The individual particle of accounting is identified as having k from the 1st kind of pollution sources2Accounting Individual particle be identified as from the 2nd kind of pollution sources ..., and so on;Wherein,
Second stage is PM2.5Online source resolution, algorithm flow are as follows:
1) multi-angle polarized light scatter PM is used2.5Aerosol particles by micro measuring device, acquisition measure the PM in surrounding air2.5? Grain object data;
2) probability P that each particulate matter belongs to every kind of pollution sources is calculatedi, calculation formula are as follows:Define PiMaximal term is the particulate matter individual particle recognition result;
3) it counts the individual particle recognition result of all particulates in a measurement period and normalizes, be as a result defined as current The polarization for surveying particulate matter identifies fingerprint, is counted as K=[k1,k2,...,km], physical significance is expressed as having in actual measurement particulate matter k1The individual particle of accounting is identified as having k from the 1st kind of pollution sources2The individual particle of accounting is identified as from the 2nd kind of pollution Source ..., and so on;It is same to meet
4) the polarization identification fingerprint for surveying particulate matter is equivalent to the linear superposition of known pollution sources polarization identification fingerprint, such as Shown in following formula:And this online source resolution model is equivalent to solve aforesaid equation optimal solutionSo that | | e | |2It is minimum;
The abnormal conditions such as solution are born to avoid obtaining, introduce following constraint condition:
It is solved using Lagrangian optimization method, obtains online source resolution result
Specifically illustrate by taking fugitive dust, biomass combustion, fire coal, motor-vehicle tail-gas as an example, fugitive dust, biomass combustion, fire coal, machine Motor-car tail gas is four kinds of primary pollution sources for northern area autumn and winter generating haze weather, accounts for PM2.5Pollute major part.It utilizes Scheme in the present invention uses multi-angle polarized light scatter PM2.5Measuring system has Typical Representative meaning to Beijing area respectively Fugitive dust (road dust, soil dirt), biomass (hay, corn stover) burning, coal-fired (civilian bituminous coal) and the motor-vehicle tail-gas of justice (diesel vehicle) particulate matter measures;Using the online source resolution algorithm model in the present invention program, realize to fugitive dust, biomass Burning, coal-fired, four kinds of Typical Sources of motor-vehicle tail-gas online source resolution, partial results are as shown in the table:
In upper table, every row represents meaning are as follows: with the citing of the 1st row, apparatus measures road dust particulate matter, online source resolution result It is fugitive dust for 94.53%, 1.86% be biomass combustion, 3.19% be coal-fired, 0.7% be motor-vehicle tail-gas, 0.33% is it Its particulate matter, and so on.
By four kinds of typical emission source particulate matters, according to set accounting (with 1% for step-length, every kind of pollution sources accounting by 0%~100% changes by sequence) it is mixed, online source resolution is then carried out using the method in the present invention program, output is tied Fruit and true accounting carry out error comparison, as a result as shown in Figure 5.From the point of view of error statistics result, online source resolution of the invention Error is both less than 20% substantially, and averagely identification absolute error is 6%, it was demonstrated that one of present invention PM2.5Online Source Apportionment And measuring system is effective.
On the present invention is described in detail, it is described above, be only a preferred embodiment of the present invention, when cannot limit Determine the scope of the present invention, i.e., it is all according to the made equivalent changes and modifications of the application range, it should still belong in covering scope of the present invention.

Claims (7)

1. a kind of PM2.5The measuring system of online source resolution, it is characterised in that: include laser, polarization beam apparatus, wave plate, put down Convex cylindrical lens, measurement chamber, multi-angle Stokes Vector measuring device and data acquisition card, laser and polarization beam apparatus, Wave plate and piano convex cylindrical lens are located in a straight line, and polarization beam apparatus is aligned with the irradiation mouth of laser, and wave plate is set to partially It shakes behind beam splitter, piano convex cylindrical lens are set to behind wave plate, and measurement chamber is located at behind piano convex cylindrical lens, are being surveyed It measures and is equipped with light trapping behind chamber, light trapping is located in a straight line with piano convex cylindrical lens, wave plate and polarization beam apparatus;Plano-convex Plane one end of cylindrical lens is towards measurement zone, and convex surface one end is then towards wave plate;Multi-angle Stokes Vector measuring device edge The periphery setting for measuring chamber forms several scattering flash ranging measuring angles that particulate matter is tested in measurement chamber;Multi-angle stoke This vector measurement device is connect with data acquisition card, and data acquisition card is connect with computer.
2. PM according to claim 12.5The measuring system of online source resolution, it is characterised in that: the multi-angle stoke The measurement angle of this vector measurement device includes 10 degree, 30 degree, 60 degree, 85 degree and 115 degree.
3. PM according to claim 12.5The measuring system of online source resolution, it is characterised in that: the polarization beam apparatus with Wave plate combined, according to the actual situation by the incident beam modulated at any linear polarization, circular polarization and elliptical polarization.
4. PM according to claim 12.5The measuring system of online source resolution, it is characterised in that: the Stokes Vector The measurement object of measuring device includes horizontal linear polarization, perpendicular linear polarization, 45 degree of liner polarization and circular polarizations.
5. a kind of PM based on measuring system described in claim 12.5Online Source Apportionment, it is characterised in that: should be in line source Analytic method is the online source resolution algorithm that physical features are polarized based on particulate matter, is divided into two stages:
First stage is that pollution sources polarize physical features spectrum foundation, and process is as follows: wherein primary pollution source has m kind:
1) multi-angle polarized light scatter PM is used2.5Aerosol particles by micro measuring system, acquisition m kind discharge of pollutant sources particulate matter, each The grain object acquisition polarization road index signal n is equivalent to a n dimension polarization physical features vector [a1,a2,...,an] description one Particulate matter;The probability distribution p of every kind of pollution sources particulate matter n polarization indexs is counted respectivelyi,j, i.e. i-th kind of pollution sources particulate matter The road j polarizes physical features probability distribution, defines pi,j(i=1,2 ..., m;J=1,2 ..., n) to be combined into pollution sources multidimensional inclined for collection The physical features distributed data that shakes composes library;pi(aj) be expressed as particulate matter jth item to polarize index being ajWhen, particulate matter belongs to i-th kind The probability of pollution sources, pi(aj) established probability distribution p can be passed throughi,jData spectrum library is tabled look-up acquisition;
2) probability P that each particulate matter belongs to every kind of pollution sources is calculated separatelyi, calculation formula are as follows:Define PiMaximal term is the particulate matter individual particle recognition result;
3) for every kind of pollution sources, the individual particle recognition result of M particulate matter is counted respectively, statistical result is normalized, is obtained Pollution sources polarization identification dactylogram Ki(i=1,2 ..., m), KiCitation form are as follows: Ki=[k1,k2,...,km], KiPhysics meaning Justice are as follows: to i-th kind of pollution sources particulate matter, there is k1The individual particle of accounting is identified as having k from the 1st kind of pollution sources2The list of accounting Particle is identified as from the 2nd kind of pollution sources ..., and so on;Wherein,
Second stage is PM2.5Online source resolution, algorithm flow are as follows:
1) multi-angle polarized light scatter PM is used2.5Aerosol particles by micro measuring device, acquisition measure the PM in surrounding air2.5Particulate matter Data;
2) probability P that each particulate matter belongs to every kind of pollution sources is calculatedi, calculation formula are as follows:Define PiMaximal term is the particulate matter individual particle recognition result;
3) it counts the individual particle recognition result of all particulates in a measurement period and normalizes, be as a result defined as currently surveying The polarization of particulate matter identifies fingerprint, is counted as K=[k1,k2,...,km], physical significance is expressed as having k in actual measurement particulate matter1It accounts for The individual particle of ratio is identified as having k from the 1st kind of pollution sources2The individual particle of accounting is identified as from the 2nd kind of pollution Source ..., and so on;It is same to meet
4) the polarization identification fingerprint for surveying particulate matter is equivalent to the linear superposition of known pollution sources polarization identification fingerprint, such as following formula It is shown:And this online source resolution model is equivalent to solve aforesaid equation optimal solution So that | | e | |2It is minimum;
It is solved using Lagrangian optimization method, obtains online source resolution result
Library is composed by the pollution sources multidimensional polarization characteristic distributed data that first stage each step is established and pollution sources polarization identification refers to Line composes library, is the data basis that second stage realizes online source resolution;The practical pollution sources inventory of data spectrum library and each department has It closes, data spectrum library can be regularly updated according to the actual situation.
6. PM according to claim 52.5Online Source Apportionment, it is characterised in that: in the step 4) of second stage, The abnormal conditions such as solution are born to avoid obtaining, introduce following constraint condition:
It is solved using Lagrangian optimization method, obtains online source resolution result
7. PM according to claim 52.5Online Source Apportionment, it is characterised in that: in step 1) in the first stage, n ≤20。
CN201910227126.5A 2019-03-25 2019-03-25 PM (particulate matter)2.5Online source analysis method and measurement system Active CN109883931B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910227126.5A CN109883931B (en) 2019-03-25 2019-03-25 PM (particulate matter)2.5Online source analysis method and measurement system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910227126.5A CN109883931B (en) 2019-03-25 2019-03-25 PM (particulate matter)2.5Online source analysis method and measurement system

Publications (2)

Publication Number Publication Date
CN109883931A true CN109883931A (en) 2019-06-14
CN109883931B CN109883931B (en) 2020-08-21

Family

ID=66934116

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910227126.5A Active CN109883931B (en) 2019-03-25 2019-03-25 PM (particulate matter)2.5Online source analysis method and measurement system

Country Status (1)

Country Link
CN (1) CN109883931B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110208169A (en) * 2019-07-10 2019-09-06 湖北中医药高等专科学校 A kind of method of scatter light polarization state data in measurement polarizers of big angle scope
CN111504948A (en) * 2020-05-12 2020-08-07 中兴仪器(深圳)有限公司 Coal dust online identification system and method
CN112687350A (en) * 2020-12-25 2021-04-20 中科三清科技有限公司 Source analysis method of air fine particulate matter, electronic device, and storage medium
CN115219436A (en) * 2022-09-20 2022-10-21 碧兴物联科技(深圳)股份有限公司 Polarized optical scattering measurement device and aerosol classification identification method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010031387A1 (en) * 2008-09-19 2010-03-25 Philipps-Universität Marburg Distinguishing an enantiomers with the aid of broadband femtosecond circular-dichroism mass spectrometry
JP2012233822A (en) * 2011-05-06 2012-11-29 Fukuoka Univ Particle measurement device
CN105403489A (en) * 2015-12-17 2016-03-16 中国科学院合肥物质科学研究院 Apparatus for measuring particle size and shape of atmospheric particulate matters
WO2017072360A1 (en) * 2015-10-30 2017-05-04 Academisch Medisch Centrum Flow cytometry method for determination of size and refractive index of substantially spherical single particles
CN107747911A (en) * 2017-09-30 2018-03-02 中兴仪器(深圳)有限公司 A kind of Atmospheric particulates special appearance identification device
CN108291863A (en) * 2015-10-02 2018-07-17 国家光学研究所 System and method for using light scattering technique to carry out individual particles dimensional measurement

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010031387A1 (en) * 2008-09-19 2010-03-25 Philipps-Universität Marburg Distinguishing an enantiomers with the aid of broadband femtosecond circular-dichroism mass spectrometry
JP2012233822A (en) * 2011-05-06 2012-11-29 Fukuoka Univ Particle measurement device
CN108291863A (en) * 2015-10-02 2018-07-17 国家光学研究所 System and method for using light scattering technique to carry out individual particles dimensional measurement
WO2017072360A1 (en) * 2015-10-30 2017-05-04 Academisch Medisch Centrum Flow cytometry method for determination of size and refractive index of substantially spherical single particles
CN105403489A (en) * 2015-12-17 2016-03-16 中国科学院合肥物质科学研究院 Apparatus for measuring particle size and shape of atmospheric particulate matters
CN107747911A (en) * 2017-09-30 2018-03-02 中兴仪器(深圳)有限公司 A kind of Atmospheric particulates special appearance identification device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨希等: "大气颗粒物源识别在线分析仪的开发及应用", 《中国高新技术企业》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110208169A (en) * 2019-07-10 2019-09-06 湖北中医药高等专科学校 A kind of method of scatter light polarization state data in measurement polarizers of big angle scope
CN111504948A (en) * 2020-05-12 2020-08-07 中兴仪器(深圳)有限公司 Coal dust online identification system and method
CN112687350A (en) * 2020-12-25 2021-04-20 中科三清科技有限公司 Source analysis method of air fine particulate matter, electronic device, and storage medium
CN115219436A (en) * 2022-09-20 2022-10-21 碧兴物联科技(深圳)股份有限公司 Polarized optical scattering measurement device and aerosol classification identification method

Also Published As

Publication number Publication date
CN109883931B (en) 2020-08-21

Similar Documents

Publication Publication Date Title
CN109883931A (en) A kind of PM2.5Online Source Apportionment and measuring system
CN103674789B (en) A kind of based on the real-time Source Apportionment of the mass spectrographic Atmospheric particulates of individual particle
US11085863B2 (en) Real-time online monitoring and source apportionment method for atmospheric fine particles containing heavy metals
Fan et al. Aerosol vertical distribution and sources estimation at a site of the Yangtze River Delta region of China
Aptowicz et al. Optical scattering patterns from single urban aerosol particles at Adelphi, Maryland, USA: A classification relating to particle morphologies
CN103913405A (en) Fine particle concentration detection method based on internet of vehicles
Wang et al. Review of online source apportionment research based on observation for ambient particulate matter
CN103454203A (en) Real-time online measurement system and method of particle size and chemical components of atmospheric particulate
CN102262039A (en) Method and device for detecting indoor heavy metal pollution by using single particle aerosol mass spectrometer (SPAMS)
Elser et al. Urban increments of gaseous and aerosol pollutants and their sources using mobile aerosol mass spectrometry measurements
CN109187288A (en) A kind of detection of atmosphere Organic aerosol and Source Apportionment
Forestieri et al. Linking variations in sea spray aerosol particle hygroscopicity to composition during two microcosm experiments
CN106018193A (en) Light scattering measurement system and method for particulate matters
Masiol et al. A chemometric approach to determine local and regional sources of PM10 and its geochemical composition in a coastal area
Bahadur et al. Composition and morphology of individual combustion, biomass burning, and secondary organic particle types obtained using urban and coastal ATOFMS and STXM-NEXAFS measurements
CN107747911A (en) A kind of Atmospheric particulates special appearance identification device
CN107607449A (en) A kind of device and method for detecting particulate matter quality concentration
CN115060850B (en) Air-ground double-field coupling atmospheric pollution source tracking and flux measuring device and method
CN116205509A (en) Research method for comprehensively evaluating heavy metal pollution condition of soil
Yu et al. Aerodynamic size-resolved composition and cloud condensation nuclei properties of aerosols in a Beijing suburban region
Stolzenburg et al. Atmospheric nanoparticle growth
Deng et al. Measurement report: Size distributions of urban aerosols down to 1 nm from long-term measurements
CN116956749A (en) Method and system for monitoring carbon emission based on big data multi-dimension
CN204807427U (en) Production dust concentration monitoring system
CN112711911B (en) Rapid pollution tracing method applied to boundary observation based on pollution source spectrum library

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP03 Change of name, title or address

Address after: 518000 Room 301, building 2, runheng Industrial Zone, No.1, liuxiansan Road, 67 District, Xingdong community, Xin'an street, Bao'an District, Shenzhen City, Guangdong Province

Patentee after: Bixing IOT Technology (Shenzhen) Co.,Ltd.

Address before: 2-3 / F, building 2, runheng Dingfeng Industrial Park, Liuxian 2nd Road, Xin'an street, Bao'an District, Shenzhen, Guangdong 518000

Patentee before: ZTE INSTRUMENTS (SHENZHEN) Co.,Ltd.

CP03 Change of name, title or address