阅读说明：本技术 大气污染成因分析方法及装置 (Method and device for analyzing causes of atmospheric pollution ) 是由 杨帆 孙明生 易志安 李诗瑶 秦东明 于 2020-06-15 设计创作，主要内容包括：本发明提供了一种大气污染成因分析方法及装置,涉及大气污染领域,根据监测到的VOCs的多个物种中每个物种的浓度数据,确定每个物种的臭氧生成潜势；根据VOCs的每个组分所包含的多个物种中每个物种的臭氧生成潜势确定每个组分的臭氧生成潜势占比；从所述VOCs的多个物种中筛选出臭氧生成潜势排在前N位的第一目标物种；对VOCs进行污染源解析,确定VOCs的污染源数据；基于每个组分的臭氧生成潜势占比、第一目标物种以及VOCs的污染源数据,确定大气中的污染源。本发明可以提高污染源分析结果的准确性。(The invention provides an atmospheric pollution cause analysis method and device, relating to the field of atmospheric pollution, and determining the ozone generation potential of each species according to the monitored concentration data of each species in a plurality of species of VOCs; determining an ozone generation potential fraction for each component of the VOCs based on the ozone generation potential of each of a plurality of species contained in each component; screening out a first target species with an ozone generating potential ranking at the top N-position from the plurality of species of the VOCs; analyzing the pollution sources of the VOCs, and determining the pollution source data of the VOCs; a source of pollution in the atmosphere is determined based on the ozone generating potential fraction of each component, the first target species, and the pollution source data for the VOCs. The invention can improve the accuracy of the analysis result of the pollution source.)

1. A method for analyzing causes of atmospheric pollution, the method comprising:

determining the ozone generation potential of each of a plurality of species of VOCs based on the monitored concentration data for each of said species;

determining an ozone generation potential fraction for each component of the VOCs based on the ozone generation potential of each of a plurality of species contained in each component;

screening out a first target species with an ozone generating potential ranking at the top N-position from the plurality of species of the VOCs; wherein N is an integer not less than 1;

analyzing pollution sources of the VOCs, and determining pollution source data of the VOCs;

determining a source of pollution in the atmosphere based on the ozone generating potential fraction for each of the components, the first target species, and the pollution source data for the VOCs.

2. The method of claim 1, further comprising:

determining the proportion of each of the components of each of the VOCs based on concentration data for each of a plurality of species contained in the component;

screening a second target species from the plurality of species of VOCs; wherein the second target species comprises a species with a concentration data on top M and/or a species indicative of a source of contamination; wherein M is an integer not less than 1;

said step of determining a source of pollution in the atmosphere based on the ozone generation potential fraction for each of said components, said first target species, and said pollution source data for said VOCs, comprising:

determining a source of pollution in the atmosphere based on the fraction of each of the components, the first target species, the ozone generating potential fraction of each of the components, the second target species, and the pollution source data for the VOCs.

3. The method of claim 1, wherein the step of performing pollution source analysis on the VOCs to determine pollution source data of the VOCs comprises:

analyzing the pollution sources of the VOCs based on the species ratio, and determining first pollution source data of the VOCs; wherein the species ratio comprises a ratio of concentrations of benzene to toluene, ethylbenzene to xylene, or isopentane to n-pentane.

4. The method according to claim 1 or 3, wherein the step of performing pollution source analysis on the VOCs and determining pollution source data of the VOCs comprises:

and analyzing the pollution sources of the VOCs according to the concentration data of each species based on a receptor model, and determining second pollution source data of the VOCs.

5. The method of claim 2, further comprising:

analyzing the average concentration data and concentration trend of the first target species and/or the second target species over a set time.

6. An atmospheric pollution cause analysis device, characterized in that the device comprises:

a first determination module for determining an ozone generation potential for each of a plurality of species of VOCs based on monitored concentration data for each of the species;

a second determining module for determining an ozone generation potential ratio for each component based on the ozone generation potential for each of a plurality of species contained in each component of the VOCs;

a first screening module for screening a first target species having an ozone generation potential ranking at the top N-position from the plurality of species of VOCs; wherein N is an integer not less than 1;

the analysis module is used for analyzing the pollution sources of the VOCs and determining the pollution source data of the VOCs;

a pollution source determination module for determining a pollution source in the atmosphere based on the ozone generation potential fraction of each of the components, the concentration data of the first target species, and the pollution source data of the VOCs.

7. The apparatus of claim 6, further comprising:

a third determining module, configured to determine a proportion of each of the components according to concentration data of each of a plurality of species included in the component of each of the VOCs;

a second screening module for screening a second target species from the plurality of species of VOCs; wherein the second target species comprises a species with a concentration data on top M and/or a species indicative of a source of contamination; wherein M is an integer not less than 1;

the pollution source determination module is further configured to:

determining a source of pollution in the atmosphere based on the fraction of each of the components, the concentration data for the first target species, the ozone generating potential fraction of each of the components, the concentration data for the second target species, and the pollution source data for the VOCs.

8. The apparatus of claim 6, wherein the parsing module is further configured to:

analyzing the pollution sources of the VOCs based on the species ratio, and determining first pollution source data of the VOCs; wherein the species ratio comprises a ratio of concentrations of benzene to toluene, ethylbenzene to xylene, or isopentane to n-pentane.

9. An electronic device comprising a processor and a machine-readable storage medium storing machine-executable instructions executable by the processor to perform the method of any of claims 1-5.

10. A machine-readable storage medium having stored thereon machine-executable instructions which, when invoked and executed by a processor, cause the processor to implement the method of any of claims 1-5.

Technical Field

The invention relates to the technical field of air pollution, in particular to an analysis method and device for an air pollution cause.

Background

In recent years, the problem of ozone pollution in China is increasingly prominent, and the ozone pollution gradually becomes an important pollutant which influences the environmental air quality in summer and autumn in China. Volatile Organic Compounds (VOCs), which generate ozone by photochemical reactions under the action of light, are important ozone-generating precursors that exist in vapor form at room temperature and are very Volatile. Many different emissions sources may produce more than 100 complex VOCs components, and the concentrations and reactivity between different species may vary. VOCs can be further subdivided into: alkanes, alkenes, aromatics, alkynes, halocarbons, oxygenates (aldehydes, ketones, esters) and other compounds.

VOCs are used as important precursors for generating ozone, and the research on the components and chemical changes of the VOCs is very important for the problem of ozone pollution. However, since the components of VOCs in ambient air are various, and the chemical reaction mechanism and the emission source are complicated and varied, the accuracy of determining the atmospheric pollution source by analyzing the components and the concentrations of VOCs is not very high at present. Moreover, the analysis of VOCs is not closely related to ozone pollution at present, and most of the analysis is only performed on VOCs alone.

Disclosure of Invention

The invention aims to provide an atmospheric pollution cause analysis method and device to solve the technical problem that the accuracy of determining an atmospheric pollution source by analyzing VOCs components and concentrations thereof is not high at present. Furthermore, the invention organically combines the analysis of the VOCs and the ozone together, analyzes the ozone pollution more comprehensively, determines the atmospheric pollution source by combining the analysis result of the pollution source and improves the accuracy of the analysis result of the pollution source.

In a first aspect, an embodiment of the present invention provides an atmospheric pollution cause analysis method, where the method includes:

determining the ozone generation potential of each of a plurality of species of VOCs based on the monitored concentration data for each of said species;

determining an ozone generation potential fraction for each component of the VOCs based on the ozone generation potential of each of a plurality of species contained in each component;

screening out a first target species with an ozone generating potential ranking at the top N-position from the plurality of species of the VOCs; wherein N is an integer not less than 1;

analyzing pollution sources of the VOCs, and determining pollution source data of the VOCs;

determining a source of pollution in the atmosphere based on the ozone generating potential fraction for each of the components, the concentration data for the first target species, and the pollution source data for the VOCs.

In an alternative embodiment, the method further comprises:

determining the proportion of each of the components of each of the VOCs based on concentration data for each of a plurality of species contained in the component;

screening a second target species from the plurality of species of VOCs; wherein the second target species comprises a species with a concentration data on top M and/or a species indicative of a source of contamination; wherein M is an integer not less than 1;

said step of determining a source of pollution in the atmosphere based on the ozone generation potential fraction for each of said components, the concentration data for said first target species, and the pollution source data for said VOCs, comprising:

determining a source of pollution in the atmosphere based on the fraction of each of the components, the concentration data for the first target species, the ozone generating potential fraction of each of the components, the concentration data for the second target species, and the pollution source data for the VOCs.

In an optional embodiment, the step of performing pollution source analysis on the VOCs and determining pollution source data of the VOCs includes:

analyzing the pollution sources of the VOCs based on the species ratio, and determining first pollution source data of the VOCs; wherein the species ratio comprises a ratio of concentrations of benzene to toluene, ethylbenzene to xylene, or isopentane to n-pentane.

In an optional embodiment, the step of performing pollution source analysis on the VOCs and determining pollution source data of the VOCs includes:

and analyzing the pollution sources of the VOCs according to the concentration data of each species based on a receptor model, and determining second pollution source data of the VOCs.

In an alternative embodiment, the method further comprises:

analyzing the average concentration data and concentration trend of the first target species and/or the second target species over a set time.

In a second aspect, an embodiment of the present invention provides an atmospheric pollution cause analysis apparatus, including:

a first determination module for determining an ozone generation potential for each of a plurality of species of VOCs based on monitored concentration data for each of the species;

a second determining module for determining an ozone generation potential ratio for each component based on the ozone generation potential for each of a plurality of species contained in each component of the VOCs;

a first screening module for screening a first target species having an ozone generation potential ranking at the top N-position from the plurality of species of VOCs; wherein N is an integer not less than 1;

the analysis module is used for analyzing the pollution sources of the VOCs and determining the pollution source data of the VOCs;

a pollution source determination module for determining a pollution source in the atmosphere based on the ozone generation potential fraction of each of the components, the concentration data of the first target species, and the pollution source data of the VOCs.

In an alternative embodiment, the apparatus further comprises:

a third determining module, configured to determine a proportion of each of the components according to concentration data of each of a plurality of species included in the component of each of the VOCs;

a second screening module for screening a second target species from the plurality of species of VOCs; wherein the second target species comprises a species with a concentration data on top M and/or a species indicative of a source of contamination; wherein M is an integer not less than 1;

the pollution source determination module is further configured to:

determining a source of pollution in the atmosphere based on the fraction of each of the components, the concentration data for the first target species, the ozone generating potential fraction of each of the components, the concentration data for the second target species, and the pollution source data for the VOCs.

In an optional embodiment, the parsing module is further configured to:

analyzing the pollution sources of the VOCs based on the species ratio, and determining first pollution source data of the VOCs; wherein the species ratio comprises a ratio of concentrations of benzene to toluene, ethylbenzene to xylene, or isopentane to n-pentane.

In a third aspect, an embodiment of the present invention provides an electronic device, which includes a processor and a machine-readable storage medium, where the machine-readable storage medium stores machine-executable instructions capable of being executed by the processor, and the processor executes the machine-executable instructions to implement the method described in any one of the foregoing embodiments.

In a fourth aspect, embodiments of the invention provide a machine-readable storage medium having stored thereon machine-executable instructions that, when invoked and executed by a processor, cause the processor to implement a method as in any one of the preceding embodiments.

According to the method and the device for analyzing the cause of the atmospheric pollution, provided by the embodiment of the invention, the atmospheric pollution source is comprehensively determined based on the ozone generation potential ratio of each component of the VOCs, the concentration data of the first target species and the pollution source data of the VOCs. Because VOCs is an important precursor for generating ozone, the analysis of VOCs and ozone is organically combined by analyzing the ozone generation potential of VOCs, so that the ozone pollution is more comprehensively analyzed, the atmospheric pollution source is further determined by combining the analysis result of the pollution source, and the accuracy of the analysis result of the pollution source is improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 is a flow chart of a method for analyzing causes of atmospheric pollution according to an embodiment of the present invention;

FIG. 2 is a flow chart of another method for analyzing causes of atmospheric pollution according to an embodiment of the present invention;

FIG. 3 is a schematic view of an analysis apparatus for cause of atmospheric pollution according to an embodiment of the present invention;

fig. 4 is a schematic diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In the description of the present invention, it should be noted that the terms "first", "second", and the like are used only for distinguishing the description, and are not intended to indicate or imply relative importance.

Currently, many different emission sources can produce over 100 complex species of VOCs, with varying concentrations and reactivity between species. The species of VOCs can be further subdivided into the following 7 major groups of components according to different chemical structures: alkanes, alkenes, aromatics, alkynes, halogenated hydrocarbons, oxygenates (aldehydes, ketones, esters) and other compounds, each of which comprises a plurality of species of the same chemical character, e.g., alkanes comprising methane, ethane, propane, and the like. Because the species of the VOCs in the ambient air are various, and the chemical reaction mechanism and the emission source are complicated and variable, the accuracy of determining the atmospheric pollution source by analyzing the species and the concentration of the VOCs is not very high at present. Therefore, the method and the device for analyzing the atmospheric pollution cause can improve the accuracy of the analysis result of the pollution source.

Some embodiments of the invention are described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.

Fig. 1 shows a flow chart of an atmospheric pollution cause analysis method provided for an embodiment of the present invention. Referring to fig. 1, an embodiment of the present invention provides an atmospheric pollution cause analysis method, including the following steps:

step S101, determining the ozone generation potential of each species according to the monitored concentration data of each species of the VOCs;

in this step, since the species concentrations of the VOCs at different sampling points and different times may be different, the VOCs at different sampling points and different times are usually monitored to obtain a plurality of sets of VOCs samples, and the plurality of sets of VOCs samples are classified according to date or time to obtain a plurality of sets of samples. When the classification is carried out according to the date, the concentration of a certain species at a certain sampling point at each time in one day can be averaged to obtain the concentration data of the species at the sampling point on the day, and by analogy, the concentration data of each species in multiple species of VOCs collected by the sampling point on the day, namely the concentration data of VOCs species on the same day, can be obtained, and the concentration data of VOCs species on the same day at different sampling points are used as a type of sample group; when the classification is performed according to the time, VOCs species concentration data at the same time in one day at different sampling points are used as a type of sample group, and the VOCs species concentration data comprise concentration data of each of a plurality of species of VOCs collected at the different sampling points at the time. The method includes the steps of classifying a plurality of groups of VOCs samples by one of the two classification modes to obtain a plurality of types of sample groups, averaging concentration data of the same species at different sampling points in each type of sample group to obtain average concentration data of each species in the VOCs in the type of sample group, wherein the concentration data of the species involved in the step can be the average concentration data.

Based on the concentration data of each species, the value of Ozone Formation Potential (OFP) of each species can be obtained by the following formula (1) using MIR (Maximum incremental reactivity) method.

OFP_i＝[VOCs]_i×MIR_i(1)

Wherein, OFP_iOzone generation potential in units of μ g/m for a certain VOCs species i³；[VOCs]_iConcentration data in μ g/m for VOCs species i obtained for monitoring³I is 1,2, …, n, n is an integer; MIR_iMIR coefficient for species i in gO₃PergVOCs, for example, the MIR coefficient of the SAPRC-07 based chemical mechanism study using Carter.

Step S102, determining the ozone generation potential ratio of each component according to the ozone generation potential of each species in a plurality of species contained in each component of VOCs; wherein the VOCs comprise a plurality of components, each component comprising a plurality of species of the same chemical character;

in this embodiment, the various species of VOCs can be classified into 7 major groups, i.e., alkanes, alkenes, alkynes, aromatics, oxygenates (aldehydes, ketones, esters), halogenated hydrocarbons, and others, according to their chemical characteristics. The ozone generating potential of each component can be derived from the ozone generating potential of the respective species contained in that component. In particular, the ozone generating potential of each component may be the sum of the ozone generating potentials of the individual species contained by that component. After the ozone generation potentials of the components are obtained, the ozone generation potentials and the ratios of the components can be obtained. Illustratively, VOCs include component 1, component 2, component 3, component 4, component 5, component 6, and component 7, the ozone generating potentials of the respective components are a, b, c, d, e, f, and g in this order, and then the ozone generating potential ratio w1 of component 1 is a/(a + b + c + d + e + f + g), and so on, the ozone generating potential ratios of the other respective components can be obtained.

Step S103, screening out a first target species with ozone generation potential arranged at the front N position from a plurality of species of VOCs; wherein N is an integer not less than 1;

in practical application, the species can be sorted from large to small according to the ozone generation potential, then the species with the ozone generation potential ranked at the top N position is screened out, and the value of N can be set according to specific situations. For example, where N is 10, then the first target species is the species with the ozone generation potential ranked in the top ten. The concentration and the variation trend (time sequence or daily variation) of the first ten species can be analyzed to obtain the concentration data.

Step S104, analyzing the pollution sources of the VOCs, and determining the pollution source data of the VOCs;

specifically, the pollution source analysis can be performed on the VOCs according to an existing pollution source analysis algorithm, and the obtained pollution source data includes pollution source types and can also include the occupation ratios of various pollution sources.

Step S105, determining a pollution source in the atmosphere based on the ozone generation potential ratio of each component, the first target species and the pollution source data of the VOCs.

Because the VOCs are important precursors for generating ozone, the components and species with higher ozone generation potential rank are determined by analyzing the ozone generation potentials of the components and species of the VOCs, and then the pollution source is determined in an auxiliary manner according to the components and species, so that the ozone pollution is analyzed more comprehensively by combining the VOCs and the ozone, the atmospheric pollution source is determined by further combining the analysis result of the pollution source, and the accuracy of the analysis result of the pollution source is improved.

The species of the VOCs are respectively emitted from different pollution sources, and are divided into the seven main components for analysis because the species of the VOCs are very many. In step S105, according to the ozone generation potential ratio of each component, a component with a higher ozone generation potential ratio can be determined, and at this time, the pollution sources that can be indicated by the species in the components are mainly analyzed, and then the pollution sources that can be indicated by the first target species are combined to comprehensively determine the pollution sources.

Illustratively, the component with the higher ozone generating potential is aromatic hydrocarbons, and based on the results of prior studies, the species in the aromatic hydrocarbons are primarily emitted from automotive or industrial sources, and it can be preliminarily determined that the source of pollution includes automotive or industrial sources. Further, if benzene is included in the first target species, and the benzene is generally from an industrial source, it can be further determined that the source of contamination includes an industrial source. Of course, other species in higher concentrations in the aromatic hydrocarbons may also be indicative of the corresponding source of contamination. The pollution source indicated by the species in the component with the higher ozone generation potential and the pollution source corresponding to the first target species are integrated, so that the pollution source can be determined in an auxiliary manner. It should be noted that the source of contamination indicated by some species of VOCs may be judged from the results of prior studies.

On the basis of the analysis result, the comprehensive analysis is carried out by combining the pollution source data of the VOCs, and the pollution source data of the VOCs can be obtained according to the existing source analysis algorithm, so that the pollution source in the atmosphere is finally determined, specifically the type of the pollution source, and the occupation ratio of various pollution sources can be also included. Therefore, the pollution source in the atmosphere is determined, the analysis of the VOCs components and the ozone pollution source are considered, the analysis of the VOCs components and the ozone pollution source are organically combined, the atmospheric pollution problem can be researched more comprehensively, and particularly the increasingly prominent ozone pollution problem is solved.

It should be noted that the above analysis process is only exemplary, and in practical applications, the analysis may be performed according to specific situations, and is not limited herein.

In some embodiments, after step S103 of the method for analyzing the cause of atmospheric pollution, the method may further include the following steps:

step 1) determining the proportion of each component according to the concentration data of each species in a plurality of species contained in each component of VOCs;

in this step, species concentration data of each component is obtained according to the concentration data of each species of each component, and the proportion of each component in the VOCs can be determined. Specifically, the monitored concentration data of the plurality of species in each component may be summed to obtain the species concentration data of each component. Illustratively, the VOCs comprise a component 1, a component 2, a component 3, a component 4, a component 5, a component 6 and a component 7, the species concentration data of each component are m1, m2, m3, m4, m5, m6 and m7 in sequence, so that the ratio x1 of the component 1 is m1/(m1+ m2+ m3+ m4+ m5+ m6+ m7), and the like, and the ratios of other components can be obtained.

Step 2) screening a second target species from the plurality of species of VOCs; wherein the second target species comprises a species with a concentration data on top M and/or a species indicative of a source of contamination; wherein M is an integer of not less than 1.

In one embodiment, the various species in the VOCs may be sorted according to the size of the concentration data, and the dominant species with the top M-bit concentration may be selected as the second target species, and the value of M may be set according to specific situations. For example, M is 10, the dominant species with the concentration ranked in the top ten is taken as the second target species, and the concentration and the variation trend of the top ten species can be analyzed to obtain the concentration data, wherein the variation trend can be a time sequence or a daily variation trend.

In another embodiment, some characteristic species of the VOCs that may indicate the pollution source are screened to obtain the second target species, for example, isopentane in the VOCs is mainly from exhaust emissions of automobiles, and the concentration and variation trend of the second target species may be analyzed to obtain concentration data, where the variation trend may be a time series or a daily variation trend.

It is noted that the second target species may include any one of the dominant species and the characteristic species described above, or both.

On the basis of the above steps 1) and 2), the above step S105 can be implemented by:

determining a source of pollution in the atmosphere based on the proportion of each component, the concentration data for the first target species, the ozone generating potential proportion for each component, the concentration data for the second target species, and the pollution source data for the VOCs.

Specifically, on the basis of comprehensively analyzing the first target species, the ozone generation potential ratio of each component, and the pollution source data of the VOCs in the foregoing embodiment, a component with a higher ratio may be determined according to the ratio of each component, and a component with a higher ratio and a second target species may also be analyzed, where a specific analysis process is similar to that of the component with a higher ozone generation potential ratio and the first target species, and is not described herein again, so as to assist in determining the pollution source, that is, the analysis result is also used as an assist to comprehensively determine the pollution source.

In this embodiment, after the atmospheric pollution source is determined, the average concentration data and the concentration variation trend of the first target species and/or the second target species within a set time may be further analyzed, so as to analyze the atmospheric pollution variation, and reflect the emission condition of the pollution source to a certain extent. The set time can be multiple times of day, one day or multiple days, and the average concentration data of the first target species and/or the second target species is obtained by averaging the concentrations of the first target species and/or the second target species monitored at different times within the set time.

The embodiment of the invention analyzes the components and species of the VOCs from multiple aspects, and because the VOCs are important precursors for generating ozone, the analysis of the VOCs and the analysis of the ozone are organically combined by analyzing the ozone generation potential of the VOCs, so that the analysis is more comprehensive, and the accuracy of the analysis result of the pollution source is improved.

In some embodiments, as shown in fig. 2, the step S104 may include the following steps:

s1041, analyzing pollution sources of the VOCs based on the species ratio, and determining first pollution source data of the VOCs; wherein the species ratio comprises a ratio of concentrations of benzene to toluene, ethylbenzene to xylene, or isopentane to n-pentane.

The method based on species ratio analysis is a qualitative source analysis method, and because the composition of VOCs emitted by different pollution sources is different, the method can be used for judging the source characteristics of the VOCs through the ratio difference of specific species in the VOCs. The source of each type of VOCs species can be determined by combining trends in different ratios based on the ratio of benzene to toluene concentrations, ethylbenzene to xylene concentrations, or isopentane to n-pentane concentrations.

In particular, the above numerical ranges of the various ratios can be used to indicate a source of contamination. For example, when the concentration ratio m of benzene to toluene is about 0.5, the pollution source is mainly from an automobile source, when m is 0.5 to 1, the pollution source is mainly from a biomass combustion source, when m is 1.5 to 2.2, the pollution source is mainly from a coal source, and when m is more than 2.5, the pollution source is mainly from a biomass combustion source. When the concentration ratio n of the isopentane to the n-pentane is greater than 2.93, the pollution source mainly comes from a motor vehicle source, and when n is 0.56-0.8, the pollution source mainly comes from a coal source. The photochemical life of the ethylbenzene is 1.7 days, the photochemical life of the xylene is 14-31 hours, when the concentration ratio of the ethylbenzene to the xylene is low (the ratio can be set according to actual conditions), the photochemical reaction is active, and the pollution source mainly comes from a photochemical source. It should be noted that the above numerical values are merely exemplary.

In some embodiments, as shown in fig. 2, the step S104 may further include the following steps:

and step S1042, analyzing the pollution sources of the VOCs according to the concentration data of each species based on the receptor model, and determining second pollution source data of the VOCs.

The receptor model may be a PMF (Positive Matrix Factorization) model, but may also be another receptor model. And (3) carrying out quantitative source analysis through a receptor model, wherein the receptor model PMF is used for deducing the pollution source type and the contribution of the pollution source type to a receptor by combining the identification components and the operation result of each emission source under the condition that the receptor component spectrum is known and the source spectrum is unknown.

The types of sources of VOCs contamination are generally: automotive sources, industrial sources, process sources, coal-fired sources, biomass combustion sources, fuel combustion sources, solvent volatilization sources, LPG (liquefied petroleum gas) sources, plant sources, photochemical sources, and the like.

In specific implementation, the concentration data of each species in the VOCs is input into a PMF model for analyzing the pollution source, so that the type of the pollution source and the proportion of each type of pollution source can be obtained, and the second pollution source data can be obtained. For example, the pollution source types of the second pollution source data include an automobile source, a process source, a coal burning source, a biomass burning source, and a solvent volatilization source, which are respectively 20%, 30%, 10%, and 20%.

It should be noted that the qualitative source analysis method based on species ratio analysis and the quantitative source analysis based on receptor model can be combined to determine the pollution source, thereby improving the accuracy of the determined pollution source.

Therefore, the first pollution source data and the second pollution source data can be combined, the second pollution source data can determine the types of pollution sources and the proportion of various pollution sources, the first pollution source data can determine the types of the pollution sources, whether the second pollution source data are accurate or not is judged in an auxiliary mode through the first pollution source data, if the second pollution source data are not accurate, the pollution sources can be analyzed again based on a receptor model until accurate results are obtained, and finally determined analysis results of the pollution sources are used as important analysis factors for determining the pollution sources in the atmosphere.

On the basis of the embodiment, the ozone generation sensitivity can be analyzed by utilizing an ozone-generated isoconcentration curve (EKMA) through monitored online VOCs sampling data, and whether the monitoring point is in a VOCs or NOx control area can be conveniently and intuitively identified, so that the formulation of an ozone control strategy is guided.

Further, after the atmospheric pollution source is determined, the determined pollution source can be combined with the local social and economic development condition and the industrial structure, and corresponding control suggestions are provided to control and prevent ozone pollution.

On the basis of the above embodiments, an atmospheric pollution cause analysis apparatus is further provided in an embodiment of the present invention, as shown in fig. 3, the apparatus includes:

a first determining module 31 for determining an ozone generation potential of each of a plurality of species of VOCs based on the monitored concentration data for each species;

a second determining module 32 for determining an ozone generation potential fraction for each component from the ozone generation potential of each of the plurality of species contained in each component of the VOCs; wherein the VOCs comprise a plurality of components, each component comprising a plurality of species of the same chemical character;

a first screening module 33 for screening a first target species having an ozone generation potential at the top N-position from the plurality of species of VOCs; wherein N is an integer not less than 1;

the analysis module 34 is configured to perform pollution source analysis on the VOCs, and determine pollution source data of the VOCs;

a pollution source determination module 35 for determining a pollution source in the atmosphere based on the ozone generation potential fraction of each component, the concentration data of the first target species, and the pollution source data of the VOCs.

In some embodiments, the apparatus further comprises:

a third determining module, configured to determine a proportion of each component according to concentration data of each of a plurality of species included in each component of the VOCs;

a second screening module for screening a second target species from the plurality of species of VOCs; wherein the second target species comprises a species with a concentration data on top M and/or a species indicative of a source of contamination; wherein M is an integer not less than 1;

the contamination source determination module 35 is further configured to:

determining a source of pollution in the atmosphere based on the proportion of each component, the concentration data for the first target species, the ozone generating potential proportion for each component, the concentration data for the second target species, and the pollution source data for the VOCs.

In some embodiments, parsing module 34 is further configured to:

analyzing the pollution sources of the VOCs based on the species ratio, and determining first pollution source data of the VOCs; wherein the species ratio comprises a ratio of concentrations of benzene to toluene, ethylbenzene to xylene, or isopentane to n-pentane.

In some embodiments, parsing module 34 is further configured to:

and analyzing the pollution sources of the VOCs according to the concentration data of each species based on the receptor model, and determining second pollution source data of the VOCs.

In some embodiments, the apparatus further comprises:

and the analysis module is used for analyzing the average concentration data and the concentration change trend of the first target species and/or the second target species in a set time.

The air pollution cause analysis device provided by the embodiment of the invention can be specific hardware on equipment, or software or firmware installed on the equipment. The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments.

Referring to fig. 4, an embodiment of the present invention further provides an electronic device 400, including: a processor 401, a memory 402, a bus 403 and a communication interface 404, wherein the processor 401, the communication interface 404 and the memory 402 are connected through the bus 403; the memory 402 is used to store programs; the processor 401 is configured to call a program stored in the memory 402 via the bus 403 to execute the atmospheric pollution cause analysis method according to the above-described embodiment.

The Memory 402 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 404 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.

Bus 403 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.

The memory 402 is used for storing a program, the processor 401 executes the program after receiving an execution instruction, and the method executed by the apparatus defined by the flow disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 401, or implemented by the processor 401.

The processor 401 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 401. The Processor 401 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 402, and the processor 401 reads the information in the memory 402 and completes the steps of the method in combination with the hardware.

Embodiments of the present invention also provide a machine-readable storage medium, in which machine-executable instructions are stored, and when the machine-executable instructions are called and executed by a processor, the machine-executable instructions cause the processor to implement the above method for analyzing the cause of atmospheric pollution.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.