CN112562796A - Method and device for analyzing atmospheric pollution source, storage medium and terminal - Google Patents
Method and device for analyzing atmospheric pollution source, storage medium and terminal Download PDFInfo
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Abstract
The invention discloses an analysis method, a device, a storage medium and a terminal of an atmospheric pollution source, wherein the method comprises the following steps: acquiring input data and monitoring environment data of a designated area, wherein the input data at least comprises component concentration data for representing each component of each pollution source class operated in the CMB chemical mass balance model; the input data and the monitoring environment data are input into the CMB chemical mass balance model to be analyzed, and an analysis result is obtained and output.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an analysis method, an analysis device, a storage medium and a terminal for an atmospheric pollution source.
Background
The complexity of the environmental problems in China, the gradual aggravation of fine particle pollution, the more prominent source type collinearity problem, the increasingly prominent regional pollution characteristics, the enhanced source refinement requirement and the like are all problems to be solved urgently in the source analysis work, and the source analysis technology is also continuously developed. The CMB chemical mass balance model has clear physical significance and is one of the most widely and important receptor models at present.
The CMB receptor model needs to know the detailed source number and the component spectrum information of each source, and the contribution condition of each source to the receptor is calculated by utilizing the multiple linear regression operation and the chemical balance relationship between the source and the receptor.
The source analysis receptor model is a technical method for establishing an input response relation between various emission sources of atmospheric particulates and atmospheric environmental quality, and the CMB receptor model is used as a source known receptor model and gives contributions of main sources of the particulates to an environmental receptor, so that the source analysis result is used for guiding the particulate pollution prevention and treatment work, and the pertinence, the scientificity and the rationality of the particulate pollution prevention and treatment can be improved.
The CMB model requires inputting data of a source component spectrum and a receptor, wherein the source component spectrum needs to be updated continuously, the workload is large, and the technical difficulty is high.
The principle of a factor analysis type receptor model, such as a PMF receptor model, is that a large amount of environmental receptor data are measured on the basis of the same point, the number of sources and component spectrums of the sources are identified according to the concentration characteristic time sequence correlation among all components, the contribution of all pollution source types is quantitatively estimated, and the source number and detailed component spectrum information are not required to be known in advance. The model starts from chemical components of the receptor, calculates the load of each component in the factor according to the relationship among the components, and infers the pollution source class which the factor may represent according to the load condition of each factor and the identification component information of the source. Wherein, the load condition of each factor in the output result of the PMF receptor model is consistent with the meaning represented by the source spectrum information in the CMB input data.
Because some regions or some source class component spectrums are difficult to obtain, necessary basic data cannot be provided for the CMB model. Therefore, the acquisition of the source spectrum becomes a difficulty in the application of the CMB receptor model, and the lack of the source spectrum causes the lack of scientificity of the calculation result of the CMB receptor model.
Disclosure of Invention
The embodiment of the application provides an analysis method and device for an atmospheric pollution source, a storage medium and a terminal. The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
In a first aspect, an embodiment of the present application provides a method for resolving an atmospheric pollution source, where the method includes:
acquiring input data and monitoring environment data of a designated area, wherein the input data at least comprises component concentration data for representing each component of each pollution source class operated in the CMB chemical mass balance model;
and inputting the input data and the monitoring environment data into the CMB chemical mass balance model for analysis to obtain and output an analysis result.
In one embodiment, the obtaining input data for operation in the CMB chemical mass balance model comprises:
component concentration data is obtained that is automatically generated for characterizing individual components of each contamination source class operating in the CMB chemical mass balance model.
In one embodiment, prior to the obtaining automatically generated component concentration data characterizing the respective components of each contamination source class running in the CMB chemical mass balance model, the method further comprises:
automatically generating component concentration data for characterizing individual components of each contamination source class in the CMB chemical mass balance model.
In one embodiment, the automatically generating component concentration data for characterizing the respective components of each contamination source class in the CMB chemical mass balance model comprises:
inputting the monitoring environment data into a pre-configured PMF orthogonal matrix factorization model for operation, and outputting a component concentration data set corresponding to a PMF factor spectrum concentration matrix, wherein each data in the component concentration data set is the component concentration of each component of each pollution source class corresponding to the PMF orthogonal matrix factorization model;
and taking each data in the component concentration data set as the component concentration of each component of each pollution source class operated in the CMB chemical mass balance model.
In one embodiment, the method further comprises:
inputting the monitoring environment data into the PMF orthogonal matrix factorization model for operation, and outputting a contribution degree data set corresponding to a PMF source contribution time sequence matrix; and each data in the contribution degree data set is used for representing the contribution degree of each component of each pollution source class to each pollution source class.
In one embodiment, the input data further comprises at least one of:
number data of each pollution source class, site data, particle size data of each pollution source, and uncertainty data of each component of each pollution source class.
In one embodiment, the obtaining input data for operation in the CMB chemical mass balance model further comprises:
an initial uncertainty is obtained to configure an uncertainty for each component of each contamination source class as the initial uncertainty.
In a second aspect, an embodiment of the present application provides an apparatus for resolving an atmospheric pollution source, the apparatus including:
the acquisition unit is used for acquiring input data of a CMB chemical mass balance model and monitoring environment data of a designated area, wherein the input data at least comprises component concentration data for representing each component of each pollution source class in the CMB chemical mass balance model;
the analysis unit is used for inputting the input data and the monitoring environment data acquired by the acquisition unit into a CMB chemical mass balance model for analysis to obtain an analysis result;
and the output unit is used for outputting the analysis result analyzed by the analysis unit.
In a third aspect, embodiments of the present application provide a computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the above-mentioned method steps.
In a fourth aspect, an embodiment of the present application provides a terminal, which may include: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the above-mentioned method steps.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the embodiment of the application, input data and monitoring environment data of a specified area, which are operated in a CMB chemical mass balance model, are obtained, wherein the input data at least comprise component concentration data used for representing each component of each pollution source class operated in the CMB chemical mass balance model; therefore, by adopting the analysis method provided by the embodiment of the application, the component concentration data of each component of each pollution source class in the input data running in the CMB chemical mass balance model is automatically generated, so that the process of acquiring the input data running in the CMB chemical mass balance model is changed from a manual acquisition mode to an automatic acquisition mode, the analysis method process of the atmospheric pollution source is simplified, and the analysis efficiency is finally improved. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic flow chart of a method for analyzing an atmospheric pollution source according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an apparatus for analyzing an atmospheric pollution source according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. 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.
The method is based on the problems of poor analysis precision and excessively complex analysis process of the existing analysis method. Therefore, the present application provides an analysis method, an apparatus, a storage medium, and a terminal for analyzing an atmospheric pollution source, so as to solve the above problems in the related art. According to the technical scheme, input data operating in a CMB chemical mass balance model and monitoring environment data of a designated area are obtained, wherein the input data at least comprise component concentration data for representing each component of each pollution source class operating in the CMB chemical mass balance model; therefore, by adopting the analysis method provided by the embodiment of the application, the component concentration data of each component of each pollution source class in the input data running in the CMB chemical mass balance model is automatically generated, so that the process of acquiring the input data running in the CMB chemical mass balance model is changed from a manual acquisition mode to an automatic acquisition mode, the analysis method process of the atmospheric pollution source is simplified, and the analysis efficiency is finally improved. The following detailed description will be made using exemplary embodiments.
The method for analyzing the source of atmospheric pollution provided in the embodiments of the present application will be described in detail with reference to fig. 1. The method for analyzing the atmospheric pollution source can be realized by depending on a computer program and can be operated on an analyzing device of the atmospheric pollution source. The computer program may be integrated into the application or may run as a separate tool-like application. The user terminal in the embodiment of the present application includes, but is not limited to: personal computers, tablet computers, handheld devices, in-vehicle devices, wearable devices, computing devices or other processing devices connected to a wireless modem, and the like. The user terminals may be called different names in different networks, for example: user equipment, access terminal, subscriber unit, subscriber station, mobile station, remote terminal, mobile device, user terminal, wireless communication device, user agent or user equipment, cellular telephone, cordless telephone, Personal Digital Assistant (PDA), terminal equipment in a 5G network or future evolution network, and the like.
Referring to fig. 1, a schematic flow chart of an analysis method of an atmospheric pollution source is provided in the embodiments of the present application. As shown in fig. 1, the method for analyzing an atmospheric pollution source according to the embodiment of the present application may include the following steps:
and S101, acquiring input data and monitoring environment data of a designated area, wherein the input data comprises at least component concentration data for representing each component of each pollution source class operated in the CMB chemical mass balance model.
In order to improve the analysis efficiency, the acquiring input data running in the CMB chemical mass balance model provided in the embodiment of the present application includes the following steps:
component concentration data automatically generated for characterizing individual components of each contamination source class run in the CMB chemical mass balance model is obtained.
In one possible implementation, before obtaining automatically generated component concentration data characterizing individual components of each contamination source class running in the CMB chemical mass balance model, the method further comprises the steps of:
component concentration data for characterizing individual components of each contamination source class in the CMB chemical mass balance model is automatically generated.
Specifically, automatically generating component concentration data for characterizing individual components of each contamination source class in the CMB chemical mass balance model comprises the steps of:
inputting the monitoring environment data into a pre-configured PMF orthogonal matrix factorization model for operation, and outputting a component concentration data set corresponding to a PMF factor spectrum concentration matrix, wherein each data in the component concentration data set is the component concentration of each component of each pollution source class corresponding to the PMF orthogonal matrix factorization model;
the following table 1 shows monitored environmental data in a specific application scenario, which is specifically described as follows:
TABLE 1 example of monitoring environmental data (μ g/m3)
In a specific example, the monitoring environment data shown in table 1 is input into a pre-configured PMF orthogonal matrix factorization model for operation, and at least two types of data are output, namely data corresponding to the source contribution time series matrix and data corresponding to the factor spectrum matrix, wherein the data corresponding to the factor spectrum matrix has two forms of concentration and percentage.
TABLE 2PMF factor spectral concentration matrix (μ g/m3)
As shown in table 2, the component concentrations of the components of each pollution source class corresponding to the PMF orthogonal matrix factorization model are shown, and mainly include the component concentrations of the components in different factors, each factor is characterized, that is: the concentration distribution of each component in the pollution source class can be calculated by directly introducing the component concentration of each component of each pollution source class corresponding to the PMF orthogonal matrix factorization model into the CMB chemical mass balance model. As shown in Table 2, each column represents the concentration profile of a different component in each factor.
And taking the component concentration of each component of each pollution source class corresponding to the PMF orthogonal matrix factorization model as the component concentration of each component of each pollution source class running in the CMB chemical mass balance model.
TABLE 3 CMB Source Spectrum example
From the above data of tables 1 and 2, the input data for the CMB chemical mass balance model run as shown in table 3 can be obtained.
As shown in table 3, the first column of table 3 is the number of each pollution source, the second column of table 3 is site information, the third column of table 3 is particle size information, the fourth column of table 3 is concentration information of component OC (organic carbon), the fifth column of table 3 is uncertainty information of component OC (organic carbon), the sixth column of table 3 is concentration information of component EC (elemental carbon), and the seventh column of table 3 is uncertainty information of component EC (elemental carbon).
It should be noted that the first, second and third columns in table 3 are known information, and the concentrations of the components in the fourth column and the uncertainty in the fifth column are determined manually in the prior art. The method for analyzing the atmospheric pollution source provided by the embodiment of the application can effectively solve the problem that the manual source spectrum compilation is difficult in the existing analysis method, and considers that the concentration matrix in the output data of the PMF model is incorporated into the analysis method based on the CMB chemical mass balance model and is used as the component concentration of each component of each pollution source class running in the CMB chemical mass balance model.
In an embodiment of the present application, obtaining input data for operation in the CMB chemical mass balance model further comprises: an initial uncertainty is obtained to configure the uncertainty of the respective component of each contamination source class as the initial uncertainty.
Under a specific application scenario, the initial uncertainty tested according to the historical data is as follows: calculating according to 10% of the concentration of each component; thus, the uncertainty of each component of each contamination source class is configured to be 10% of the initial uncertainty.
The above is merely an example, and the initial uncertainty is configured to be 10%, and the analysis method for the atmospheric pollution source provided in the embodiment of the present application does not specifically limit the value corresponding to the initial uncertainty, and may adjust the value corresponding to the initial uncertainty according to requirements of different application scenarios, which is not described herein again.
In a possible implementation manner, the method for analyzing the atmospheric pollution source provided by the embodiment of the present application further includes the following steps:
inputting the monitoring environment data into a PMF orthogonal matrix factorization model for operation, and outputting a contribution degree data set corresponding to a PMF source contribution time sequence matrix; each data in the contribution degree data set is used for representing the contribution degree of each component of each pollution source class to each pollution source; therefore, which one of the components of each pollution source class in the designated area or which component makes a main contribution to the pollution can be known according to the data in the contribution degree data set, so that the corresponding treatment strategy can be designated according to the contribution degree information. For example, knowing that component a1 has the highest contribution to pollution among the current class a pollution sources, specifying a corresponding abatement strategy for component a1 may enable effective abatement of the class a pollution sources; therefore, the pollution treatment cost is saved, and the purpose of effectively treating pollution can be achieved. The above is just one example. In different application scenarios, the components of each type of pollution source are different, the contribution degrees of each component to pollution are also different, and under the condition that the contribution degrees of a plurality of components are different, treatment can be performed simultaneously, and details are not repeated herein.
And S102, inputting the input data and the monitoring environment data into the CMB chemical mass balance model for analysis, and obtaining and outputting an analysis result.
In an embodiment of the present application, the input data is input data running in the CMB chemical mass balance model, the input data includes, in addition to component concentration data for characterizing components of each pollution source class running in the CMB chemical mass balance model, wherein the component concentration data for components of each pollution source class running in the CMB chemical mass balance model is automatically generated, and the input data further includes: number data of each pollution source class, site data, particle size data of each pollution source, and uncertainty data of each component of each pollution source class. The above lists only common input data running in the CMB chemical mass balance model, and other input data running in the CMB chemical mass balance model may also be introduced according to the requirements of different application scenarios, which is not described herein again.
The monitoring environment data is the monitoring environment data shown in table 1. In order to realize the compatibility of the analytic method based on the PMF orthogonal matrix factorization model and the analytic method based on the CMB chemical equilibrium model, the monitoring environment data shown in the table 1 is processed, and the input format conversion processing is performed on the monitoring environment data shown in the table 1, so that the monitoring environment data capable of running in the CMB chemical equilibrium model is obtained.
In this embodiment, the CMB chemical mass balance model used in the analysis method provided in this embodiment is a conventional model, and is not described herein again.
In a possible implementation manner, in order to enable a user to know an analysis result based on the CMB chemical mass balance model in real time, the analysis method provided in the embodiment of the present application further includes the following steps: and pushing the analysis result to the terminal equipment of the appointed user.
In the embodiment of the application, input data and monitoring environment data of a specified area, which are operated in a CMB chemical mass balance model, are obtained, wherein the input data at least comprise component concentration data used for representing each component of each pollution source class operated in the CMB chemical mass balance model; therefore, by adopting the analysis method provided by the embodiment of the application, the component concentration data of each component of each pollution source class in the input data running in the CMB chemical mass balance model is automatically generated, so that the process of acquiring the input data running in the CMB chemical mass balance model is changed from a manual acquisition mode to an automatic acquisition mode, the analysis method process of the atmospheric pollution source is simplified, and the analysis efficiency is finally improved.
The following is an embodiment of the analyzing apparatus for analyzing a source of atmospheric pollution according to the present invention, which can be used to perform an embodiment of the analyzing method for a source of atmospheric pollution according to the present invention. For details not disclosed in the embodiments of the analysis apparatus for sources of atmospheric pollution of the present invention, please refer to the embodiments of the analysis method for sources of atmospheric pollution of the present invention.
Fig. 2 is a schematic structural diagram of an atmospheric pollution source analysis device according to an exemplary embodiment of the present invention. The analyzing device for the atmospheric pollution source may be implemented as all or a part of the terminal by software, hardware, or a combination of both. The analysis device for the atmospheric pollution source comprises an acquisition unit 10, an analysis unit 20 and an output unit 30.
Specifically, the acquiring unit 10 is configured to acquire input data running in the CMB chemical mass balance model and monitoring environment data of a specified area, where the input data at least includes component concentration data for characterizing each component of each pollution source class running in the CMB chemical mass balance model;
the analysis unit 20 is configured to input the input data and the monitoring environment data acquired by the acquisition unit 10 into the CMB chemical mass balance model for analysis, so as to obtain an analysis result;
and an output unit 30 for outputting the analysis result analyzed by the analysis unit 20.
Optionally, the obtaining unit 10 is configured to:
component concentration data automatically generated for characterizing individual components of each contamination source class run in the CMB chemical mass balance model is obtained.
Optionally, the apparatus further comprises:
an automatic generation unit (not shown in fig. 2) for automatically generating component concentration data for characterizing the respective components of each pollution source class in the CMB chemical mass balance model before the acquisition unit 10 acquires the automatically generated component concentration data for characterizing the respective components of each pollution source class running in the CMB chemical mass balance model.
Optionally, the automatic generation unit is specifically configured to:
inputting the monitoring environment data into a pre-configured PMF orthogonal matrix factorization model for operation, and outputting a component concentration data set corresponding to a PMF factor spectrum concentration matrix, wherein each data in the component concentration data set is the component concentration of each component of each pollution source class corresponding to the PMF orthogonal matrix factorization model;
each data in the component concentration dataset was taken as the component concentration for each individual component of each contamination source class run in the CMB chemical mass balance model.
Optionally, the parsing unit 20 is further configured to:
inputting the monitoring environment data acquired by the acquisition unit 10 into a PMF orthogonal matrix factorization model for operation, and outputting a contribution degree data set corresponding to a PMF source contribution time sequence matrix; the respective data in the contribution degree data set analyzed by the analyzing unit 20 is used for characterizing the contribution degree of each component of each pollution source class to each pollution source class.
Optionally, the input data further comprises at least one of:
number data of each pollution source class, site data, particle size data of each pollution source, and uncertainty data of each component of each pollution source class.
Optionally, the obtaining unit 10 is further configured to:
an initial uncertainty is obtained to configure the uncertainty of the respective component of each contamination source class as the initial uncertainty.
It should be noted that, when the analysis device for an air pollution source provided in the foregoing embodiment executes an analysis method for an air pollution source, the above-mentioned division of each functional module is merely used as an example, and in practical applications, the above-mentioned function distribution may be completed by different functional modules according to needs, that is, the internal structure of the equipment is divided into different functional modules, so as to complete all or part of the above-mentioned functions. In addition, the embodiments of the apparatus for analyzing an atmospheric pollution source and the embodiments of the method for analyzing an atmospheric pollution source provided in the foregoing embodiments belong to the same concept, and the detailed implementation process is shown in the embodiments of the method for analyzing an atmospheric pollution source, which is not described herein again.
In an embodiment of the application, the obtaining unit is configured to obtain input data running in the CMB chemical mass balance model and monitoring environment data of a specified area, where the input data at least includes component concentration data for characterizing each component of each pollution source class running in the CMB chemical mass balance model; the analysis unit is used for inputting the input data and the monitoring environment data acquired by the acquisition unit into the CMB chemical mass balance model for analysis to obtain an analysis result; and the output unit is used for outputting the analysis result analyzed by the analysis unit, so that by adopting the analysis device provided by the embodiment of the application, the component concentration data of each component of each pollution source class in the input data of the CMB chemical mass balance model is automatically generated, so that the process of acquiring the input data of the CMB chemical mass balance model is changed from a manual acquisition mode to an automatic acquisition mode, the analysis method process of the air pollution source is simplified, and the analysis efficiency is finally improved.
The present invention also provides a computer readable medium, on which program instructions are stored, which program instructions, when executed by a processor, implement the method for analyzing an atmospheric pollution source provided by the above-mentioned method embodiments.
The invention also provides a computer program product containing instructions which, when run on a computer, cause the computer to perform the method for resolving a source of atmospheric pollution as described in the various method embodiments above.
Please refer to fig. 3, which provides a schematic structural diagram of a terminal according to an embodiment of the present application. As shown in fig. 3, terminal 1000 can include: at least one processor 1001, at least one network interface 1004, a user interface 1003, memory 1005, at least one communication bus 1002.
Wherein a communication bus 1002 is used to enable connective communication between these components.
The user interface 1003 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 1003 may also include a standard wired interface and a wireless interface.
The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Alternatively, the processor 1001 may be implemented in at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 1001 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 1001, but may be implemented by a single chip.
The Memory 1005 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable medium. The memory 1005 may be used to store an instruction, a program, code, a set of codes, or a set of instructions. The memory 1005 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 1005 may optionally be at least one memory device located remotely from the processor 1001. As shown in fig. 3, the memory 1005, which is a type of computer storage medium, may include an operating system, a network communication module, a user interface module, and an analytic application of atmospheric pollution sources.
In the terminal 1000 shown in fig. 3, the user interface 1003 is mainly used as an interface for providing input for a user, and acquiring data input by the user; the processor 1001 may be configured to call an analysis application of the atmospheric pollution source stored in the memory 1005, and specifically perform the following operations:
acquiring input data and monitoring environment data of a designated area, wherein the input data at least comprises component concentration data for representing each component of each pollution source class operated in the CMB chemical mass balance model;
and inputting the input data and the monitoring environment data into the CMB chemical mass balance model for analysis to obtain and output an analysis result.
In one embodiment, processor 1001 performs the following operations in performing the acquisition of input data running on a CMB chemical mass balance model:
component concentration data automatically generated for characterizing individual components of each contamination source class run in the CMB chemical mass balance model is obtained.
In one embodiment, the processor 1001, prior to performing the step of obtaining automatically generated component concentration data characterizing the respective components of each contamination source class running in the CMB chemical mass balance model, further performs the following operations:
component concentration data for characterizing individual components of each contamination source class in the CMB chemical mass balance model is automatically generated.
In one embodiment, processor 1001, in performing the automated generation of component concentration data characterizing the individual components of each contamination source class in the CMB chemical mass balance model, specifically performs the following:
inputting the monitoring environment data into a pre-configured PMF orthogonal matrix factorization model for operation, and outputting a component concentration data set corresponding to a PMF factor spectrum concentration matrix, wherein each data in the component concentration data set is the component concentration of each component of each pollution source class corresponding to the PMF orthogonal matrix factorization model;
each data in the component concentration dataset was taken as the component concentration for each individual component of each contamination source class run in the CMB chemical mass balance model.
In one embodiment, the processor 1001 also performs the following operations:
inputting the monitoring environment data into a PMF orthogonal matrix factorization model for operation, and outputting a contribution degree data set corresponding to a PMF source contribution time sequence matrix; the individual data in the contribution degree data set is used for representing the contribution degree of each component of each pollution source class to each pollution source class.
In one embodiment, the input data further comprises at least one of: number data of each pollution source class, site data, particle size data of each pollution source, and uncertainty data of each component of each pollution source class.
In one embodiment, processor 1001, in performing the acquiring input data running on the CMB chemical mass balance model, further performs the following operations:
an initial uncertainty is obtained to configure the uncertainty of the respective component of each contamination source class as the initial uncertainty.
In the embodiment of the application, input data and monitoring environment data of a specified area, which are operated in a CMB chemical mass balance model, are obtained, wherein the input data at least comprise component concentration data used for representing each component of each pollution source class operated in the CMB chemical mass balance model; therefore, by adopting the analysis method provided by the embodiment of the application, the component concentration data of each component of each pollution source class in the input data running in the CMB chemical mass balance model is automatically generated, so that the process of acquiring the input data running in the CMB chemical mass balance model is changed from a manual acquisition mode to an automatic acquisition mode, the analysis method process of the atmospheric pollution source is simplified, and the analysis efficiency is finally improved.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory or a random access memory.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.
Claims (10)
1. A method for resolving a source of atmospheric pollution, the method comprising:
acquiring input data and monitoring environment data of a designated area, wherein the input data at least comprises component concentration data for representing each component of each pollution source class operated in the CMB chemical mass balance model;
and inputting the input data and the monitoring environment data into the CMB chemical mass balance model for analysis to obtain and output an analysis result.
2. The method of claim 1, wherein the obtaining input data for operation in the CMB chemical mass balance model comprises:
component concentration data is obtained that is automatically generated for characterizing individual components of each contamination source class operating in the CMB chemical mass balance model.
3. The method of claim 2, wherein prior to the obtaining automatically generated component concentration data characterizing individual components of each contamination source class operating in the CMB chemical mass balance model, the method further comprises:
automatically generating component concentration data for characterizing individual components of each contamination source class in the CMB chemical mass balance model.
4. The method of claim 3, wherein automatically generating component concentration data for characterizing the respective components of each contamination source class in the CMB chemical mass balance model comprises:
inputting the monitoring environment data into a pre-configured PMF orthogonal matrix factorization model for operation, and outputting a component concentration data set corresponding to a PMF factor spectrum concentration matrix, wherein each data in the component concentration data set is the component concentration of each component of each pollution source class corresponding to the PMF orthogonal matrix factorization model;
and taking each data in the component concentration data set as the component concentration of each component of each pollution source class operated in the CMB chemical mass balance model.
5. The method of claim 4, further comprising:
inputting the monitoring environment data into the PMF orthogonal matrix factorization model for operation, and outputting a contribution degree data set corresponding to a PMF source contribution time sequence matrix; and each data in the contribution degree data set is used for representing the contribution degree of each component of each pollution source class to each pollution source class.
6. The method of claim 1, wherein the input data further comprises at least one of:
number data of each pollution source class, site data, particle size data of each pollution source, and uncertainty data of each component of each pollution source class.
7. The method of claim 6, wherein the obtaining input data for operation in the CMB chemical mass balance model further comprises:
an initial uncertainty is obtained to configure an uncertainty for each component of each contamination source class as the initial uncertainty.
8. An apparatus for resolving a source of atmospheric pollution, said apparatus comprising:
the acquisition unit is used for acquiring input data of a CMB chemical mass balance model and monitoring environment data of a designated area, wherein the input data at least comprises component concentration data for representing each component of each pollution source class in the CMB chemical mass balance model;
the analysis unit is used for inputting the input data and the monitoring environment data acquired by the acquisition unit into a CMB chemical mass balance model for analysis to obtain an analysis result;
and the output unit is used for outputting the analysis result analyzed by the analysis unit.
9. A computer storage medium, characterized in that it stores a plurality of instructions adapted to be loaded by a processor and to carry out the method steps according to any one of claims 1 to 7.
10. A terminal, comprising: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of any of claims 1 to 7.
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