CN106324204B - The determination method of urban atmosphere PM2.5 primary pollution sources - Google Patents
The determination method of urban atmosphere PM2.5 primary pollution sources Download PDFInfo
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- CN106324204B CN106324204B CN201610943107.9A CN201610943107A CN106324204B CN 106324204 B CN106324204 B CN 106324204B CN 201610943107 A CN201610943107 A CN 201610943107A CN 106324204 B CN106324204 B CN 106324204B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—Specially adapted to detect a particular component
- G01N33/0037—Specially adapted to detect a particular component for NOx
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—Specially adapted to detect a particular component
- G01N33/0039—Specially adapted to detect a particular component for O3
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method, e.g. intermittent, or the display, e.g. digital
- G01N33/0067—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method, e.g. intermittent, or the display, e.g. digital by measuring the rate of variation of the concentration
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0073—Control unit therefor
- G01N33/0075—Control unit therefor for multiple spatially distributed sensors, e.g. for environmental monitoring
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
- Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters
Abstract
The determination method of urban atmosphere PM2.5 primary pollution sources is related to environmental protection, atmosphere polluting controling technology field.The present invention uses the monitoring data within the scope of continuous, a certain urban area first（As monitoring station is controlled in state）To judge the generation of ozone by which primary pollution（NOx、SO2With volatile organic matter VOCs）Control secondly judge which primary pollution contributes the generation of PM2.5 maximum, finally, determines the primary pollution source of urban district atmosphere pollution according to the emission inventories for the primary pollution to be controlled, method is easy, quickly, it is reliable.
Description
Technical field
The present invention relates to environmental protection, atmosphere polluting controling technology fields.
Background technology
The improvement of atmosphere pollution PM2.5 is the significant problem for being badly in need of solving in current economic development.Chinese ring in 2014
Guarantor portion requires each provincial capital to carry out the origin analysis work of PM2.5, and puts into effect《Source of atmospheric particulate matter analytic technique refers to
South》.This work development be beneficial to while sustained economic development it is most economical, most reasonable, most effective, administer stage by stage
With control atmosphere pollution.
Currently, the method for determining air primary pollution source is mainly using the receptor model method in PM2.5 Source Apportionments.
Receptor model method is mathematically to determine coming for pollution according to the ingredient of PM2.5 compositions and the ingredient and feature of pollution sources
Source, the method is complicated for operation, and there are many problems, as with linear method handle it is nonlinear, with Self-organization
Photochemical fog process；The few variation etc. if do not considered discharge amount of pollution and meteorological condition of the adopted information content of analysis；Only
It is the analysis etc. to local period and region.
Invention content
Purpose of the present invention is to propose the determination method of urban atmosphere PM2.5 primary pollution sources, for instructing PM2.5 to decline
Effective control.
The present invention includes the following steps：
1）Using one group of continuous monitoring data of urban area monitoring station, by making dependent variable O3Concentration and independent variable
The relational graph of NOx concentration judges that nearby ozone generates affiliated control zone to the monitoring station：
Work as O3Concentration declines with the increase of NOx concentration, then it is the control zones VOCs that ozone, which generates affiliated control zone,；
Work as O3Concentration increases with the increase of NOx concentration, then it is the control zones NOx that ozone, which generates affiliated control zone,；
In the control zones NOx and the control zones VOCs intersection then area's transition region in order to control；
The judgement that ozone generates affiliated control zone within the scope of urban area is the synthesis of each monitoring station.
2）Determine the main pollutant for influencing air PM2.5：
A. when the control zone belonging to ozone generation is the control zones VOCs, NOx and SO2It is the main dirt for influencing air PM2.5
Contaminate object；
B. when the control zone belonging to ozone generation is the control zones NOx, VOCs is the main pollutant for influencing air PM2.5；
C. ozone generate belonging to control zone in order to control area's transition region when, NOx, SO2It is main influence air with VOCs
The pollutant of PM2.5.
3）The determination of primary pollution source：
A. when the control zone belonging to ozone generation is the control zones VOCs, according to same period constituent parts within the scope of urban area
The emission inventories of NOx, the size order of the discharge capacity of the NOx shown from the emission inventories determine that primary pollution source unit is suitable
Sequence；
B. when the control zone belonging to ozone generation is the control zones NOx, according to same period constituent parts VOCs within the scope of urban area
Emission inventories, the size order of the discharge capacity of the VOCs emission sources shown from the emission inventories, determine primary pollution source unit
Sequentially.
The starting point of the method for the present invention is with receptor model method on the contrary, being that the mechanism formed from PM2.5 and emission inventories come
Judge primary pollution source.The air PM2.5 in China majority city is reacted essentially from photochemical fog, is reacted from photochemical fog
Rule and its main source of PM2.5 is judged with the correlation of PM2.5.
The present invention uses the monitoring data within the scope of continuous, a certain urban area first（As monitoring station is controlled in state）To sentence
The generation of disconnected ozone is by which primary pollution（NOx、SO2With volatile organic matter VOCs）Control, secondly, judge which one
Secondary pollutant contributes maximum to the generation of PM2.5, finally, urban district is determined according to the emission inventories for the primary pollution to be controlled
The primary pollution source of atmosphere pollution, method are easy, quick, reliable.
When it is the control zones VOCs that ozone, which generates affiliated control zone, NOx and SO2It is the main dirt for influencing air PM2.5
Contaminate object.In the control zones VOCs, PM2.5 is with NO2The increase of concentration and increase.Main cause is NOx and SO2Concentration increases（Usually
NO2And SO2There is positive relationship）Although O3Concentration declines, but the NO generated3 -And SO4 2-Amount increase, so, at this time reduce NOx and
SO2Discharge, can be effectively reduced the concentration of PM2.5.Reduce VOCs concentration, O3Concentration declines, and PM2.5 concentration rises, so reducing
VOCs concentration can make O3Concentration declines, but PM2.5 rises.Therefore, in the control zones VOCs, PM2.5 most effective way is reduced
It is to reduce NOx and SO2Discharge capacity.
When it is the control zones NOx that ozone, which generates affiliated control zone, VOCs is the main pollutant for influencing air PM2.5.
In the control zones NOx, i.e., [VOCs]>>[NOx], when PM2.5 concentration is more than 35 μ g/m3When (National Ambient Air Quality Standards two
Grade standard), theoretically, it is to reduce O to reduce NOx concentration3With the most effectual way of PM2.5 concentration.But in practice operates,
It is more practical and effective selection to reduce VOCs concentration to control zone transition region, this is because can not only significantly reduce O3With
PM2.5 concentration, and the cost ratio NOx for reducing VOCs discharges is low.When PM2.5 concentration is less than National Ambient Air Quality Standards
35 μ g/m of secondary standard3When, air quality is preferable at this time, and VOCs and NOx concentration are relatively low, and collaboration reduces the row of NOx and VOCs
It is high-volume preferably to select.Therefore, in the control zones NOx, when atmosphere pollution is heavier, it is to subtract to reduce PM2.5 most effective way
The discharge capacity of few VOCs.
And when ozone generates affiliated control zone area's transition region in order to control, NOx, SO2It is main influence air with VOCs
The pollutant of PM2.5.Because control zone transition region is between the control zones VOCs and the control zones NOx, reduction NOx,
SO2Being all up with VOCs reduces the purpose of PM2.5 concentration.
The present invention provides a kind of easy, accurate, practical sides of the determining main pollution sources of atmosphere pollution PM2.5
Method, the method can effectively help city manager control atmosphere pollution, this method while ensureing sustained economic development
In the improvement for having been used for the PM2.5 in multiple cities, and the effect of achieving tangible results property.
Description of the drawings
Fig. 1 is certain city monitoring station whole year O of monitoring in 20153Concentration and NO2The relational graph of concentration.
Fig. 2 is certain city monitoring station whole year O of monitoring in 20133Concentration and NO2The relational graph of concentration.
Fig. 3 is certain city monitoring station summer of monitoring in 2015（The 6-9 months）O3Concentration and NO2The relational graph of concentration.
Specific implementation mode
One, dependent variable O is made3The relational graph of concentration and independent variable NOx concentration：
1, using one group of continuous monitoring data within the scope of urban area, by making dependent variable O3Concentration and independent variable
The relational graph of NOx concentration.
2, judgement ozone generates affiliated each control zone：
According to certain city monitoring station whole year O of monitoring in 20153Concentration and NO2Concentration value forms dependent variable shown in FIG. 1
O3The relational graph of concentration and independent variable NOx concentration.It can be seen from figure 1 that O3Concentration is with NO2The increase of concentration and decline, then supervise
Nearby annual ozone generates affiliated control zone as the control zones VOCs for the cities Ce Gai certain monitoring station in 2015.
According to certain city monitoring station whole year O of monitoring in 20133Concentration and NO2Concentration value forms dependent variable shown in Fig. 2
O3The relational graph of concentration and independent variable NOx concentration.As it is clear from fig. 2 that O3Concentration is with NO2The increase of concentration and increase, then monitor
Nearby annual ozone generates affiliated control zone as the control zones NOx for the city certain monitoring station in 2013.
According to certain city monitoring station summer of monitoring in 2015（The 6-9 months）O3Concentration and NO2Concentration value is formed shown in Fig. 3
Dependent variable O3The relational graph of concentration and independent variable NOx concentration.It can be seen from figure 3 that the summer in 2015 near the city monitoring station of monitoring
Ji Jiyou NO2Control zone, and have the control zones VOCs, work as NO2Concentration is less than 0.0169mg/m3When, O3Generation be in NOx control
Area works as NO2Concentration is more than 0.0169mg/m3When, O3Generation be in the control zones VOCs.It is handed in the control zones NOx and the control zones VOCs
It is control zone transition region at boundary.
Two, the determination of maximum primary pollution is influenced on PM2.5：
1. the control zone belonging to ozone generation is the control zones VOCs, NOx and SO2It is the main dirt for influencing air PM2.5
Contaminate object；
2. the control zone belonging to ozone generation is the control zones NOx, VOCs is the main pollutant for influencing air PM2.5；
3. ozone generate belonging to control zone in order to control area's transition region when, NOx, SO2It is main influence air with VOCs
The pollutant of PM2.5.
Three, it verifies：
1, in the control zones VOCs, it is to reduce NOx and SO to reduce PM2.5 most effective way2Discharge capacity.
According to the emission inventories of the urban area NOx of Simultaneous Monitoring, you can confirm primary pollution source（As industrial coal,
Motor vehicle, biomass combustion etc.）The sequence of contribution.SO2Maximum contributor is industrial coal.In NOx inventories, when
NOx（It is coal-fired）> NOx（Motor vehicle）, it is not required to consider SO naturally2Emission inventories, fire coal are primary pollution sources.Work as NOx（Motor vehicle）
>>NOx（It is coal-fired）When, NOx（It is coal-fired）And SO2Motor vehicle is much smaller than to the contribution of PM2.5, motor vehicle is primary pollution sources at this time；
Work as NOx（It is coal-fired）Close to NOx（Motor vehicle）When, both become primary pollution source, and coal fire discharged for first choice to reduce.
2, in the control zones NOx, it is to reduce VOCs discharge capacitys to reduce PM2.5 most effective way.
According to the urban area VOCs emission inventories of Simultaneous Monitoring（As natural VOCs, motor vehicle, solvent use, industry
Process, biomass combustion, storage and shipping of oil products, fossil fuel burning etc.）, determine sequence and the city of main VOCs emission sources discharge capacity
The primary pollution source of PM2.5.
According to above method, it is determined that 2013 and 2015 respectively to the primary dirt primarily controlled in the above-mentioned urban district of monitoring
Dye object is NOx, and the primary pollution sources of PM2.5 are industrial coals.Pass through stringent management and control, the row of urban district NOx in 2015
High-volume drop to 3.67 ten thousand tons by 5.42 ten thousand tons in 2013, although vehicle guaranteeding organic quantity increases under 30.3%, PM2.5
Drop 22.9%, this shows that the discharge capacity for controlling industrial coal is to reduce the preferred effective way of certain urban district PM2.5.In addition, using this
Method also carried out compared with systematic research the primary pollution sources of other other 3 cities under the jurisdiction of the provincial government area PM2.5, the results show that our
Method is suitable for four cities, and operation is simple, and as a result reliably, the result of analysis provides science for the improvement of urban district atmosphere pollution
Foundation and operable method.
Claims (1)
1. the determination method of urban atmosphere PM2.5 primary pollution sources, it is characterised in that include the following steps：
1）Using one group of continuous monitoring data of urban area monitoring station, by making dependent variable O3Concentration and independent variable NOx are dense
The relational graph of degree judges that nearby ozone generates affiliated control zone to the monitoring station：
Work as O3Concentration declines with the increase of NOx concentration, then it is the control zones VOCs that ozone, which generates affiliated control zone,；
Work as O3Concentration increases with the increase of NOx concentration, then it is the control zones NOx that ozone, which generates affiliated control zone,；
In the control zones NOx and the control zones VOCs intersection then area's transition region in order to control；
2）Determine the main primary pollution for influencing air PM2.5 concentration：
A. when the control zone belonging to ozone generation is the control zones VOCs, NOx is the main primary pollution for influencing air PM2.5 concentration
Object；
B. when the control zone belonging to ozone generation is the control zones NOx, VOCs is the main primary pollution for influencing air PM2.5 concentration
Object；
C. ozone generate belonging to control zone in order to control area's transition region when, NOx, SO2It is that main influence air PM2.5 is dense with VOCs
The primary pollution of degree；
3）The determination of primary pollution source：
A. when the control zone belonging to ozone generation is the control zones VOCs, according to the row of same period constituent parts NOx within the scope of urban area
Inventory is put, the size order of the discharge capacity of the NOx shown from the emission inventories determines primary pollution source unit sequence；
B. it when the control zone belonging to ozone generation is the control zones NOx, is discharged according to same period constituent parts VOCs within the scope of urban area
Inventory, the size order of the discharge capacity of the VOCs emission sources shown from the emission inventories, determines primary pollution source unit sequence.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6870442B2 (en) * | 2017-04-06 | 2021-05-12 | 富士電機株式会社 | Source analyzer and source analysis system |
| CN110487958A (en) * | 2018-05-14 | 2019-11-22 | 扬州大学 | The measuring and calculating of proximate region atmospheric volatile organic compounds mean relative concentrations and comparative approach in city |
| CN109085296B (en) * | 2018-08-14 | 2019-07-05 | 成都市环境保护科学研究院 | Judge that ozone generates sensibility and precursor control method, device, storage medium, terminal |
| CN110018280B (en) * | 2019-05-17 | 2021-08-17 | 北京市环境保护科学研究院 | Comprehensive characterization method and device for emission of atmospheric pollution source |
| GB2600072A (en) * | 2019-08-14 | 2022-04-20 | Innovation Center For Clean Air Solutions | Method for selecting pollutant treatment measure |
| CN113514378A (en) * | 2021-05-10 | 2021-10-19 | 北京数汇通信息技术有限公司 | PM2.5 regional heavy pollution reason identification system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103698255A (en) * | 2013-12-26 | 2014-04-02 | 中国环境科学研究院 | Real-time analytic method for atmospheric particle source |
| CN204461840U (en) * | 2015-03-24 | 2015-07-08 | 南京埃森环境技术有限公司 | A kind of PM2.5 source resolution sampling apparatus controlled based on gas concentration lwevel |
| CN204679477U (en) * | 2015-05-15 | 2015-09-30 | 深圳市傲通环球空气过滤器有限公司 | A kind of air pollution source detection system |
| CN105608697A (en) * | 2015-12-24 | 2016-05-25 | 电子科技大学 | Air pollution source identification method based on aerosol remote sensing and glowworm swarm algorithm |
| RU2586939C1 (en) * | 2015-04-24 | 2016-06-10 | Федеральное государственное бюджетное научное учреждение "Научно-исследовательский институт аэрокосмического мониторинга "АЭРОКОСМОС" (НИИ "АЭРОКОСМОС") | Method of determining index of state of atmosphere for anthropogenic pollution sources |
| CN105866347A (en) * | 2016-05-24 | 2016-08-17 | 扬州大学 | Detection method for average relative concentration and activity of volatile organic compounds in atmosphere |
| CN205540156U (en) * | 2016-01-21 | 2016-08-31 | 无锡南理工科技发展有限公司 | Environmental pollution source on -line monitoring monitored control system based on sensing net |
-
2016
- 2016-11-02 CN CN201610943107.9A patent/CN106324204B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103698255A (en) * | 2013-12-26 | 2014-04-02 | 中国环境科学研究院 | Real-time analytic method for atmospheric particle source |
| CN204461840U (en) * | 2015-03-24 | 2015-07-08 | 南京埃森环境技术有限公司 | A kind of PM2.5 source resolution sampling apparatus controlled based on gas concentration lwevel |
| RU2586939C1 (en) * | 2015-04-24 | 2016-06-10 | Федеральное государственное бюджетное научное учреждение "Научно-исследовательский институт аэрокосмического мониторинга "АЭРОКОСМОС" (НИИ "АЭРОКОСМОС") | Method of determining index of state of atmosphere for anthropogenic pollution sources |
| CN204679477U (en) * | 2015-05-15 | 2015-09-30 | 深圳市傲通环球空气过滤器有限公司 | A kind of air pollution source detection system |
| CN105608697A (en) * | 2015-12-24 | 2016-05-25 | 电子科技大学 | Air pollution source identification method based on aerosol remote sensing and glowworm swarm algorithm |
| CN205540156U (en) * | 2016-01-21 | 2016-08-31 | 无锡南理工科技发展有限公司 | Environmental pollution source on -line monitoring monitored control system based on sensing net |
| CN105866347A (en) * | 2016-05-24 | 2016-08-17 | 扬州大学 | Detection method for average relative concentration and activity of volatile organic compounds in atmosphere |
Non-Patent Citations (4)
| Title |
|---|
| 上海奉贤区大气细颗粒物 PM2.5的特征研究与源排放清单的建立;陈磊;《中国优秀硕士学位论文全文数据库 工程科技I辑》;20160315(第3期);B027-280 * |
| 天津市PM2.5排放源构成分析及防治措施评估;陈璐等;《城市环境与城市生态》;20140630;第27卷(第3期);26-30 * |
| 天津市大气污染源排放清单的建立;赵斌等;《环境科学学报》;20080228;第28卷(第2期);368-375 * |
| 扬州市区大气污染的变化规律及其机理探讨;徐琴等;《扬州大学学报（自然科学版）》;20160228;第19卷(第1期);74-78 * |
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