CN111680422B - Ozone source analysis method and device - Google Patents
Ozone source analysis method and device Download PDFInfo
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- CN111680422B CN111680422B CN202010515932.5A CN202010515932A CN111680422B CN 111680422 B CN111680422 B CN 111680422B CN 202010515932 A CN202010515932 A CN 202010515932A CN 111680422 B CN111680422 B CN 111680422B
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Abstract
The invention provides an ozone source analysis method and device, and relates to the field of atmospheric pollution, wherein a plurality of groups of VOCs samples are measured to respectively obtain species concentration data of each group of VOCs samples; analyzing the pollution source according to the species concentration data of each group of VOCs samples and the uncertainty of each group of VOCs samples to obtain a pollution source analysis result, wherein the pollution source analysis result comprises contribution data of a plurality of pollution sources; obtaining concentration data of a plurality of species corresponding to each pollution source according to the contribution data of the plurality of pollution sources; determining the ozone generation potential of each pollution source according to the concentration data of the plurality of species corresponding to the pollution source; the source of ozone in the ambient air is determined based on the ozone generation potential of the plurality of sources of pollution. The invention can improve the accuracy of the ozone source analysis result and reduce the data calculation amount.
Description
Technical Field
The invention relates to the technical field of atmospheric pollution, in particular to an ozone source analysis method and device.
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) generate ozone by photochemical reaction under the action of light, and are important ozone generation precursors. Therefore, it is important to investigate the sources of ozone and VOCs.
Since ozone is a secondary pollutant, its source is currently studied only by simulation studies using air quality models. Model embedded ozone source identification technology capable of quantitatively analyzing O in ambient air3The source of (a). However, the air quality model adopts the emission list which is obtained by combining the product yield and the energy consumption with the emission factor statistics3The discharge amount of the precursor has uncertainty and hysteresis, and the lack of accuracy of the discharge source list can cause the ozone sourceThe analytical result has a certain error. In addition, the simulation process has very high requirements on the capacity and the speed of a computer, and the data calculation amount is very large.
Disclosure of Invention
The invention aims to provide an ozone source analysis method and device to solve the technical problems of large data calculation amount and high uncertainty in the prior art.
In a first aspect, embodiments of the present invention provide a method for analyzing an ozone source, the method including:
determining a plurality of groups of VOCs samples to respectively obtain species concentration data of each group of VOCs samples;
analyzing a pollution source according to the species concentration data of each group of the VOCs samples and the uncertainty of each group of the VOCs samples to obtain a pollution source analysis result, wherein the pollution source analysis result comprises contribution data of a plurality of pollution sources;
obtaining concentration data of a plurality of species corresponding to each pollution source according to the contribution data of the plurality of pollution sources;
determining the ozone generation potential of each pollution source according to the concentration data of the plurality of species corresponding to the pollution source;
determining a source of ozone based on the ozone generation potential of a plurality of said pollution sources.
In an alternative embodiment, the contribution data for a plurality of said pollution sources comprises a matrix of contribution values for each of said pollution sources and a matrix of species concentrations for each of said pollution sources.
In an alternative embodiment, the step of obtaining concentration data of a plurality of species corresponding to each of the pollution sources according to the contribution data of the plurality of pollution sources includes:
multiplying the contribution value matrix of each pollution source with the species concentration matrix of each pollution source to obtain a first matrix of each pollution source; the number of rows of the first matrix is the number of VOCs samples, and the number of columns is the number of species of each pollution source;
averaging each row of elements in the first matrix of each pollution source to obtain a second matrix of each pollution source;
merging the second matrices of the plurality of pollution sources to obtain a third matrix, wherein the third matrix comprises concentration data of a plurality of species of each pollution source in the plurality of pollution sources; the number of rows of the third matrix is the number of pollution sources, and the number of columns is the number of species of each pollution source.
In an optional embodiment, the step of performing pollutant source analysis according to the species concentration data of each group of the VOCs samples and the uncertainty of each group of the VOCs samples to obtain a pollutant source analysis result includes:
and analyzing the pollution source according to the species concentration data of each group of the VOCs samples and the uncertainty of each group of the VOCs samples based on a receptor model PMF to obtain a pollution source analysis result.
In an alternative embodiment, the method further comprises:
calculating the uncertainty for each set of samples of the VOCs according to the following equation:
UNC＝5/6×MDLi，coni≤MDLi
wherein EF is the error ratio, coniAt the concentration of species i, MDLiIs the detection limit of species i.
In an alternative embodiment, the step of determining the ozone generation potential of each of the plurality of pollution sources based on concentration data of a plurality of species corresponding to the pollution source comprises:
separately calculating the ozone generation potential of the plurality of species for each of the pollution sources according to the following equation:
OFPi＝MIRi×[VOC]i
wherein i is 1,2, n, n is an integer; OFPiOzone generation potential for species i; MIRiThe maximum incremental reactivity factor for species i;
summing the ozone-generating potentials of the plurality of species for each of the pollution sources to obtain the ozone-generating potential for that pollution source.
In an alternative embodiment, the step of determining a source of ozone from the ozone generation potentials of a plurality of the pollution sources comprises:
obtaining the ozone generation potential ratio of each pollution source according to the ozone generation potentials of the plurality of pollution sources;
determining the source of ozone based on the ozone-generating potential ratios of each of said pollution sources.
In a second aspect, embodiments of the present invention provide an ozone source analysis device, including:
the determination module is used for determining a plurality of groups of VOCs samples to respectively obtain species concentration data of each group of VOCs samples;
the analysis module is used for analyzing the pollution source according to the species concentration data of each group of the VOCs samples and the uncertainty of each group of the VOCs samples to obtain a pollution source analysis result, and the pollution source analysis result comprises contribution data of a plurality of pollution sources;
the acquisition module is used for acquiring concentration data of a plurality of species corresponding to each pollution source according to the contribution data of the plurality of pollution sources;
the ozone generation potential calculation module is used for determining the ozone generation potential of the pollution source according to the concentration data of the plurality of species corresponding to each pollution source;
an ozone source determination module for determining an ozone source based on the ozone generation potential of the plurality of pollution sources.
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 embodiment of the invention, the species concentration data of the VOCs sample and the uncertainty of the VOCs sample are utilized to analyze the pollution source, the ozone pollution source is quantitatively analyzed according to the analysis result of the pollution source, and the accuracy of the analysis result of the ozone source can be improved. Compared with the simulation process of the air quality model, the process does not need a large amount of calculation resources, reduces the data calculation amount, and inputs the concentration of VOCs collected from the ambient air, so that the process is more in line with the actual situation, the uncertainty and the hysteresis of the data are avoided, and the accuracy of the ozone source analysis result is further 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 ozone sources according to an embodiment of the present invention;
fig. 2 is a flowchart of a method of step S103 according to an embodiment of the present invention;
FIG. 3 is a schematic view of an ozone source analysis apparatus 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", "third", and the like are used only for distinguishing the description, and are not intended to indicate or imply relative importance.
Currently, the research on the ozone pollution source is only carried out through simulation research by an air quality model. Model embedded ozone source identification technology capable of quantitatively analyzing O in ambient air3The source of (a). However, the air quality model adopts the emission list which is obtained by combining the product yield and the energy consumption with the emission factor statistics3The discharge amount of the precursor has uncertainty and hysteresis, and the inaccurate list of the discharge source can cause certain errors in the analysis result of the ozone source. In addition, the simulation process has very high requirements on the capacity and the speed of a computer, and the data calculation amount is very large. Therefore, the ozone source analysis method and the ozone source analysis device provided by the embodiment of the invention can reduce the data calculation amount and improve the accuracy of the ozone source analysis result.
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 is a flow chart illustrating an ozone source analysis method according to an embodiment of the present invention, and referring to fig. 1, an ozone source analysis method according to an embodiment of the present invention includes the following steps:
step S101, determining a plurality of groups of VOCs samples to respectively obtain species concentration data of each group of VOCs samples;
specifically, a plurality of groups of VOCs samples are collected from the ambient air, each group of VOCs samples comprises a plurality of species, and the species composition and the concentration of each species can be determined by measuring each group of VOCs samples, so that species concentration data can be obtained.
Step S102, analyzing the pollution source according to the species concentration data of each group of VOCs samples and the uncertainty of each group of VOCs samples to obtain a pollution source analysis result, wherein the pollution source analysis result comprises contribution data of a plurality of pollution sources;
specifically, uncertainty means the degree to which a measured value cannot be determined due to the presence of measurement errors. The step can adopt a receptor model to analyze the pollution source of the VOCs sample. In practical application, the species concentration data of each group of VOCs samples and the uncertainty of each group of VOCs samples are input into a receptor model for analysis, and a pollution source analysis result can be output.
In some embodiments, the Uncertainty (UNC) of each set of VOCs samples may be calculated by the following equations (1) and (2):
UNC＝5/6×MDLi，coni≤MDLi (1)
wherein EF is error ratio, VOCs source can be calculated by 20% during analysis, coniAs species concentration, MDLiThe detection limit of species i is determined by the detection method.
Step S103, obtaining concentration data of a plurality of species corresponding to each pollution source according to the contribution data of the plurality of pollution sources;
specifically, the contribution data of the multiple pollution sources includes a contribution value of each group of VOCs samples in the multiple groups of VOCs samples to each pollution source and concentration data of multiple species included in each pollution source obtained through pollution source analysis, where the contribution value may be a contribution ratio of each group of VOCs samples to each pollution source in pollution source analysis. According to the contribution value corresponding to each pollution source and the concentration data of the plurality of species included in the pollution source obtained through analysis of the pollution source, the actual concentration data of the plurality of species in the pollution source, that is, the concentration data of the plurality of species corresponding to each pollution source in step S103, can be calculated.
Step S104, determining the ozone generation potential of each pollution source according to the concentration data of a plurality of species corresponding to the pollution source;
in particular, Ozone Formation Potential (OFP) can be used to explore different VOCs species for O3Influence of the generation and thus on O in a certain area3The role of VOCs in the production process was evaluated. In this step, the ozone generation potential of each species can be calculated according to the concentration data of the species, and the ozone generation potentials of the plurality of species of each pollution source are summed to obtain the ozone generation potential of the pollution source.
In some embodiments, step S104 may be implemented by:
step a) separately calculating the ozone generation potential of a plurality of species of each of said pollution sources according to the following equation (3):
OFPi＝MIRi×[VOC]i (3)
wherein i is 1,2, n, n is an integer; OFPiOzone generation potential in units of μ g/m for a certain VOCs species i3；MIRiIs the maximum incremental coefficient of reactivity of the corresponding species i in gO3gVOCs, for example MIR coefficients based on SAPRC-07 chemical mechanism studies using Carter; [ VOC ]]iIs the concentration of a certain VOCs species i in the ambient air, in units of mug/m3. Step b) summing the ozone generation potentials of the plurality of species of each pollution source to obtain the ozone generation potential of the pollution source.
In this embodiment, the ozone source in the ambient air is analyzed by the ozone generation potential ratio of each pollution source, and the accuracy of the ozone source can be improved.
Step S105, determining an ozone source according to the ozone generation potentials of the plurality of pollution sources.
Specifically, the ozone generation potentials of the plurality of pollution sources reflect the ozone generation capability of each pollution source, and the pollution source which contributes greatly to the generation of ozone can be determined according to the capability, so that the ozone source is determined.
In some embodiments, step S105 may be implemented by:
step 1) obtaining the ozone generation potential ratio of each pollution source according to the ozone generation potentials of a plurality of pollution sources;
illustratively, the plurality of pollution sources includes a pollution source 1, a pollution source 2, a pollution source 3, a pollution source 4, and a pollution source 5, the ozone generation potentials of the respective pollution sources are a, b, c, d, and e in this order, so that the ozone generation potential ratio w1 of the pollution source 1 is a/(a + b + c + d + e), and so on, the ozone generation potential ratios of the other respective pollution sources can be obtained.
And 2) determining the ozone source in the ambient air according to the ozone generation potential ratio of each pollution source.
Specifically, the ozone generation potential ratio of each pollution source can be regarded as the contribution ratio of the pollution source to the ozone generation, so as to obtain the ozone source.
According to the embodiment of the invention, the species concentration data of the VOCs sample and the uncertainty of the VOCs sample are utilized to analyze the pollution source, the ozone pollution source is quantitatively analyzed according to the analysis result of the pollution source, and the accuracy of the analysis result of the ozone source can be improved. Compared with the simulation process of the air quality model, the process does not need a large amount of calculation resources, reduces the data calculation amount, and inputs the concentration of VOCs collected from the ambient air, so that the process is more in line with the actual situation, the uncertainty and the hysteresis of the data are avoided, and the accuracy of the ozone source analysis result is further improved.
In some embodiments, the contribution data for the plurality of pollution sources includes a matrix of contribution values for each pollution source and a matrix of species concentrations for each pollution source.
Specifically, the contribution data of the multiple pollution sources includes contribution values of the multiple pollution sources, and species concentration data of each pollution source in the multiple pollution sources obtained through pollution source analysis, that is, concentration data of each species in the multiple species included in each pollution source, where the contribution values may be a contribution ratio of each group of VOCs samples to each pollution source in pollution source analysis. And generating a contribution value matrix from the contribution value of each pollution source in the pollution source analysis result, and generating a species concentration matrix from the species concentration data of each pollution source in the pollution source analysis result.
Illustratively, the matrix a of the contribution values of each pollution source is shown as the following matrix (4), and the matrix B of the concentration of the species of each pollution source is shown as the following matrix (5).
B＝[b1 b2 b3 b4 b5 b6 b7 b8 b9] (5)
The number of rows of the matrix A is the number of the VOCs samples, each row is a contribution value of one group of VOCs samples in the multiple groups of VOCs samples to each pollution source, the contribution value is obtained by analyzing the pollution source through a receptor model, the number of columns of the matrix B is the number of species of each pollution source, and each column is the concentration of one species.
In some embodiments, as shown in fig. 2, step S103 may be implemented by:
step S201, multiplying the contribution value matrix of each pollution source with the species concentration matrix of each pollution source to obtain a first matrix of each pollution source; the number of rows of the first matrix is the number of VOCs samples, and the number of columns is the number of species of each pollution source;
step S202, averaging each row of elements in the first matrix of each pollution source to obtain a second matrix of each pollution source;
step S203, merging the second matrixes of the multiple pollution sources to obtain a third matrix, wherein the third matrix comprises concentration data of multiple species corresponding to each pollution source in the multiple pollution sources; the number of rows in the third matrix is the number of contamination sources and the number of columns is the number of species per contamination source.
In this embodiment, assuming that the number of the pollution sources is N, multiplying the contribution value matrix of each pollution source by the species concentration matrix of each pollution source to obtain an i × j matrix, that is, the first matrix, where the N pollution sources can obtain N i × j matrices, where i is the number of input effective samples, j is the number of input effective pollutant species, and i is 1, 2. j is 1, 2.. said, m, m is an integer, and the species concentrations of i samples in each first matrix are averaged to obtain a 1 × j matrix, i.e. the second matrix, N pollution sources can obtain N1 × j matrices, which are the simulated concentrations of j species in the N pollution sources, and can be used to estimate the actual concentrations; the analog concentration is calculated according to the matrix, and may have a certain error with respect to the actual concentration, but in practical application, the error may be ignored, and the analog concentration is regarded as the actual concentration; and combining the N matrixes of 1 xj to obtain an Nxj matrix, namely the third matrix, and obtaining concentration data of j species corresponding to each pollution source in the N pollution sources.
In some embodiments, step S102 may be implemented in the following manner:
and (3) analyzing the pollution source according to the species concentration data of each group of VOCs samples and the uncertainty of each group of VOCs samples based on a receptor model PMF (Positive Matrix Factorization), so as to obtain a pollution source analysis result.
The receptor model PMF is a commonly used quantitative source analysis method, and the main method is to combine the identification components and the operation results of each emission source to infer the type of the emission source and the contribution of the emission source to the receptor. In practical application, the species concentration data and uncertainty of each group of VOCs samples are input into a receptor model PMF, and a source analysis result can be output.
On the basis of the above embodiments, the embodiment of the present invention further provides an ozone source analyzing apparatus, as shown in fig. 3, the apparatus including:
the determination module 31 is configured to determine multiple groups of VOCs samples to obtain species concentration data of each group of VOCs samples;
the analysis module 32 is configured to perform pollution source analysis according to the species concentration data of each group of VOCs samples and the uncertainty of each group of VOCs samples to obtain a pollution source analysis result, where the pollution source analysis result includes contribution data of a plurality of pollution sources;
the obtaining module 33 is configured to obtain concentration data of a plurality of species corresponding to each pollution source according to contribution data of the plurality of pollution sources;
an ozone generation potential calculation module 34, configured to determine an ozone generation potential of each pollution source according to the concentration data of the plurality of species corresponding to the pollution source;
an ozone source determination module 35 for determining the source of ozone based on the ozone generation potential of the plurality of pollution sources.
In some embodiments, the contribution data for the plurality of pollution sources includes a matrix of contribution values for each pollution source and a matrix of species concentrations for each pollution source.
In some embodiments, the obtaining module 33 includes:
the first calculation unit is used for multiplying the contribution value matrix of each pollution source with the species concentration matrix of each pollution source to obtain a first matrix of each pollution source; the number of rows of the first matrix is the number of VOCs samples, and the number of columns is the number of species of each pollution source;
the second calculation unit is used for averaging each row of elements in the first matrix of each pollution source to obtain a second matrix of each pollution source;
a third calculation unit for merging the second matrices of the plurality of pollution sources to obtain a third matrix,
the third matrix includes concentration data for a plurality of species for each of the plurality of contamination sources; third step
The number of rows in the matrix is the number of contamination sources and the number of columns is the number of species per contamination source.
In some embodiments, parsing module 32 is further configured to:
and analyzing the pollution source according to the species concentration data of each group of VOCs samples and the uncertainty of each group of VOCs samples based on the receptor model PMF to obtain the analysis result of the pollution source.
In some embodiments, the apparatus further comprises:
and the uncertainty calculation module is used for calculating the uncertainty of each group of VOCs samples according to the following formula:
UNC＝5/6×MDLi，coni≤MDLi
wherein EF is the error ratio, coniAt the concentration of species i, MDLiIs the detection limit of species i.
In some embodiments, ozone generation potential calculation module 34 is further configured to:
the ozone generation potential of the multiple species of each pollution source is calculated separately according to the following equation:
OFPi＝MIRi×[VOC]i
wherein i is 1,2, n, n is an integer; OFPiOzone generation potential for species i; MIRiThe maximum incremental reactivity factor for species i;
the ozone generation potentials of the multiple species of each pollution source are summed to obtain the ozone generation potential of that pollution source.
In some embodiments, ozone source determination module 35 is further configured to:
obtaining the ozone generation potential ratio of each pollution source according to the ozone generation potentials of the plurality of pollution sources;
the source of ozone in the ambient air is determined based on the ozone generation potential ratio of each pollution source.
According to the ozone source analysis method and device provided by the embodiment of the invention, the species concentration data of the VOCs sample and the uncertainty of the VOCs sample are utilized to analyze the pollution source, and the ozone pollution source is quantitatively analyzed according to the analysis result of the pollution source. Compared with the simulation process of the air quality model, the process does not need a large amount of calculation resources, reduces the data calculation amount, and inputs the concentration of VOCs collected from the ambient air, so that the process is more in line with the actual situation, the uncertainty and the hysteresis of the data are avoided, and the accuracy of the ozone source analysis result is improved.
The ozone source 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 used to call the program stored in the memory 402 through the bus 403 to execute the ozone source analyzing method of the above 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 having stored thereon machine-executable instructions that, when invoked and executed by a processor, cause the processor to implement the ozone source analysis method as described above.
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.
Claims (6)
1. A method of ozone source analysis, the method comprising:
determining a plurality of groups of VOCs samples to respectively obtain species concentration data of each group of VOCs samples;
analyzing a pollution source according to the species concentration data of each group of the VOCs samples and the uncertainty of each group of the VOCs samples to obtain a pollution source analysis result, wherein the pollution source analysis result comprises contribution data of a plurality of pollution sources;
obtaining concentration data of a plurality of species corresponding to each pollution source according to the contribution data of the plurality of pollution sources;
determining the ozone generation potential of each pollution source according to the concentration data of the plurality of species corresponding to the pollution source;
determining a source of ozone from the ozone generation potentials of the plurality of pollution sources;
the contribution data of the plurality of pollution sources comprises a matrix of contribution values of each of the pollution sources and a matrix of species concentrations of each of the pollution sources;
the step of obtaining concentration data of a plurality of species corresponding to each of the pollution sources according to the contribution data of the plurality of pollution sources includes:
multiplying the contribution value matrix of each pollution source with the species concentration matrix of each pollution source to obtain a first matrix of each pollution source; the number of rows of the first matrix is the number of VOCs samples, and the number of columns is the number of species of each pollution source;
averaging each row of elements in the first matrix of each pollution source to obtain a second matrix of each pollution source;
merging the second matrixes of the plurality of pollution sources to obtain a third matrix, wherein the third matrix comprises concentration data of a plurality of species corresponding to each pollution source in the plurality of pollution sources; the number of rows of the third matrix is the number of pollution sources, and the number of columns is the number of species of each pollution source;
the step of determining the ozone generation potential of each of the pollution sources from the concentration data for the plurality of species of that pollution source comprises:
separately calculating the ozone generation potential of the plurality of species for each of the pollution sources according to the following equation:
OFPi＝MIRi×[VOC]i
wherein i is 1,2, n, n is an integer; OFPiOzone generation potential for species i; MIRiThe maximum incremental reactivity factor for species i;
summing the ozone generation potentials of the plurality of species of each of the pollution sources to obtain the ozone generation potential of the pollution source;
said step of determining a source of ozone from the ozone generation potentials of a plurality of said pollution sources comprising:
obtaining the ozone generation potential ratio of each pollution source according to the ozone generation potentials of the plurality of pollution sources;
determining the source of ozone based on the ozone-generating potential ratios of each of said pollution sources.
2. The method of claim 1, wherein the step of performing a contamination source analysis based on the species concentration data of each group of the samples of the VOCs and the uncertainty of each group of the samples of the VOCs to obtain a contamination source analysis result comprises:
and analyzing the pollution source according to the species concentration data of each group of VOCs samples and the uncertainty of each group of VOCs samples based on a receptor model PMF to obtain the analysis result of the pollution source.
3. The method of claim 1, further comprising:
calculating the uncertainty for each set of samples of the VOCs according to the following equation:
UNC＝5/6×MDLi，coni≤MDLi
wherein EF is the error ratio, coniAt the concentration of species i, MDLiIs the detection limit of species i.
4. An ozone source analysis device, the device comprising:
the determination module is used for determining a plurality of groups of VOCs samples to respectively obtain species concentration data of each group of VOCs samples;
the analysis module is used for analyzing the pollution source according to the species concentration data of each group of the VOCs samples and the uncertainty of each group of the VOCs samples to obtain a pollution source analysis result, and the pollution source analysis result comprises contribution data of a plurality of pollution sources;
the acquisition module is used for acquiring concentration data of a plurality of species corresponding to each pollution source according to the contribution data of the plurality of pollution sources;
the ozone generation potential calculation module is used for determining the ozone generation potential of the pollution source according to the concentration data of the plurality of species corresponding to each pollution source;
the ozone source determining module is used for determining an ozone source according to the ozone generation potentials of the plurality of pollution sources;
the contribution data of the plurality of pollution sources comprises a matrix of contribution values of each of the pollution sources and a matrix of species concentrations of each of the pollution sources;
the acquisition module is further used for multiplying the contribution value matrix of each pollution source with the species concentration matrix of each pollution source to obtain a first matrix of each pollution source; the number of rows of the first matrix is the number of VOCs samples, and the number of columns is the number of species of each pollution source; averaging each row of elements in the first matrix of each pollution source to obtain a second matrix of each pollution source; merging the second matrixes of the plurality of pollution sources to obtain a third matrix, wherein the third matrix comprises concentration data of a plurality of species corresponding to each pollution source in the plurality of pollution sources; the number of rows of the third matrix is the number of pollution sources, and the number of columns is the number of species of each pollution source;
the ozone generation potential calculation module is further configured to calculate the ozone generation potentials of the plurality of species of each of the pollution sources, respectively, according to the following equation:
OFPi＝MIRi×[VOC]i
wherein i is 1,2, n, n is an integer; OFPiOzone generation potential for species i; MIRiThe maximum incremental reactivity factor for species i; summing the ozone generation potentials of the plurality of species of each of the pollution sources to obtain the ozone generation potential of the pollution source;
the ozone generation potential calculation module is also used for obtaining the ozone generation potential ratio of each pollution source according to the ozone generation potentials of the plurality of pollution sources; determining the source of ozone based on the ozone-generating potential ratios of each of said pollution sources.
5. 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 1-3.
6. 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 1-3.
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| CN112990111B (en) * | 2021-04-20 | 2021-08-31 | 北京英视睿达科技有限公司 | Method and device for identifying ozone generation high-value area, storage medium and equipment |
| CN113627507A (en) * | 2021-08-03 | 2021-11-09 | 中科三清科技有限公司 | Ozone generation contribution rate analysis method and device |
| CN114910610A (en) * | 2022-05-16 | 2022-08-16 | 华南理工大学 | Ozone generation potential evaluation method based on volatile organic compound loss measurement |
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