CN111860996B - Emission source data generation method and device of air quality model and medium - Google Patents
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Abstract
The invention can provide a method, a device and a medium for generating emission source data of an air quality model, wherein the method can comprise the following steps: acquiring emission source historical data of a current air quality model, reading a header file from the emission source historical data, extracting file parameters from the header file, screening target data in a first preset time period from the emission source historical data according to the file parameters and the first preset time period, and outputting the target data to obtain the emission source data of the air quality model; the device can comprise a data acquisition module, a file reading module, a parameter extraction module, a data screening module and a data output module; the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the method or apparatus of any of the embodiments of the invention. The invention can realize the rapid and convenient generation of the emission source data and has the outstanding advantages of high execution efficiency of the generation process, low cost and the like.
Description
Technical Field
The invention relates to the technical field of air quality simulation and prediction, in particular to an air quality model emission source data generation method, device and medium.
Background
The CMAQ (Community Multiscale Air Quality) model is a three-dimensional Euler mode system with multi-module integration and multi-scale grid nesting, and is widely applied to scientific research and business work. The whole mode system mainly comprises a mesoscale meteorological module, an exhaust module and a universal multiscale module, wherein the exhaust module generally adopts a SMOKE (Sparse Matrix Operator Kernel emission) model, as shown in FIG. 3. The SMOKE model can process a source list into time-by-time grid emission data required by a universal multi-scale module, and finally, the meteorological field and the time-by-time grid emission data are jointly used for the simulation of the chemical model CMAQ. The SMOKE model processing object comprises a surface source, a point source and a motor vehicle source, and the surface source spatial distribution is determined by comprehensively considering the emission source spatial distribution attributes of population, roads, underlying surfaces and the like. However, the SMOKE model not only has the problem that the configuration and the deployment are troublesome, but also the application cost of the model is often high.
Disclosure of Invention
In order to solve the problems of troublesome configuration and deployment, high cost and the like of the existing emission module, the invention provides an emission source data generation method, device and medium of an air quality model, so that the purposes of convenience, quickness, low cost and the like in the process of generating the emission source data can be achieved.
To achieve the above technical object, the present invention specifically discloses an emission source data generation method of an air quality model, which includes the following steps. Acquiring emission source historical data of a current air quality model, reading a header file from the emission source historical data, extracting file parameters from the header file, screening target data in a first preset time period from the emission source historical data according to the file parameters and the first preset time period, and outputting the target data to obtain the emission source data of the air quality model; generating emission source data for the air quality model may be accomplished by the above-described process.
Further, the process of screening out the target data within the first preset time period includes: all variables in the target data read from the emission source history data are processed simultaneously.
Further, the first preset time period includes a plurality of sub-time periods. The process of outputting the target data includes: and periodically outputting target data in a plurality of sub-periods, and taking all the output target data as emission source data of the air quality model.
Further, the first preset time period includes only one sub-time period. The process of outputting the target data includes: and outputting target data in a sub-period as emission source data of the air quality model.
Further, the process of outputting the target data includes: and writing the target data into an output file according to the file parameters and a first preset time period.
Further, the file parameters include column parameters, row parameters, layer parameters, grid parameters and grid longitude and latitude parameters.
Further, the emission source history data may be data of a set simulation region within a second preset time period.
In order to achieve the technical purpose, the invention further provides an emission source data generating device of the air quality model, which comprises but is not limited to a data acquisition module, a file reading module, a parameter extraction module, a data screening module and a data output module. The data acquisition module is used for acquiring emission source historical data of a current air quality model, the file reading module is used for reading a header file from the emission source historical data, the parameter extraction module is used for extracting file parameters from the header file, the data screening module is used for screening target data in a first preset time period from the emission source historical data according to the file parameters and the first preset time period, and the data output module is used for outputting the target data to obtain the emission source data of the air quality model.
Further, the data screening module is also used for simultaneously processing all variables in the target data read from the emission source historical data.
To achieve the above technical object, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements an emission source data generation method or apparatus of an air quality model in any of the embodiments of the present invention.
The invention has the beneficial effects that: compared with the prior art, the method and the device can realize the rapid and convenient generation of the emission source data, and have the advantages of high execution efficiency of the generation process, low cost and the like. The invention can generate the output file with the time dimension larger than or equal to the input file in a periodical repeating mode, namely the time dimension of the output file generated by the invention is not limited by the input file, and the time dimension of the output file can be flexibly specified, so the invention has wider application range and is suitable for large-area application.
It is emphasized that the present invention not only can generate the emission source data rapidly, but also can read the corresponding parameters from the input file without preparing a grid file for input separately or equipping grid parameters, so the present invention is convenient to use and has very high operation efficiency of the machine.
Drawings
FIG. 1 illustrates a flow diagram of an emission source data generation method of an air quality model in some embodiments of the invention.
FIG. 2 illustrates a schematic diagram of the operation of an emission source data generating device of the air quality model in some embodiments of the invention.
FIG. 3 shows a pre-processing flow diagram for generating emission source data using a conventional SMOKE model.
Detailed Description
The method, the device and the medium for generating the emission source data of the air quality model provided by the invention are explained and explained in detail in the following with the accompanying drawings of the specification.
The first embodiment is as follows:
as shown in fig. 1, the present invention provides a method for generating emission source data of an air quality model, which can very conveniently obtain emission source data, and has the outstanding advantages of easy implementation, low cost, flexible specification of time dimension of output files, and the like, so as to effectively solve the problems existing in the process of obtaining emission source data by the existing SMOKE model in fig. 3. The air quality model in the present invention may be, for example, a CMAQ model or the like, and the emission source data generation method may include, but is not limited to, the following steps.
First, emission source history data of the current air quality model is acquired, and the present embodiment can acquire the emission source history data by reading an input file (i.e., input data) in a specified path. Then, an internal header file, which is a file that must exist in the emission source history data, is read from the emission source history data. The discharge source history data of this embodiment is a gridded discharge source file in a certain simulation region during a certain period of time, the data format of the gridded discharge source file may be netCDF format, and the discharge source history data may be, for example, data of a set simulation region during a second preset period of time.
Secondly, extracting file parameters from the head file, thereby obtaining the attribute information of the emission source historical data. In this embodiment, the file parameters may include, but are not limited to, file parameters such as column parameters, row parameters, layer parameters, grid parameters, and grid longitude and latitude parameters. The file parameters in the header file may resemble the following table.
| Variables of | Means of |
| nx_in | Inputting and discharging source file x direction grid number |
| ny_in | Inputting and discharging source file y direction grid number |
| nz_in | Z-direction vertical layer number of input/output source file |
| datafile_in | Inputting and discharging source file name, not more than 16 characters |
| gridfile_in | Inputting a grid point longitude and latitude data file corresponding to an emission source, wherein the input grid point longitude and latitude data file cannot exceed 16 characters |
| nx_out | Output emission source file x-direction grid number |
| ny_out | Outputting the y-direction grid number of the source file |
| nz_out | Z-direction vertical layer number for output emission source file |
| datafile_out | Outputting the source file name of the discharge file, which can not exceed 16 characters |
| gridfile_out | Outputting a grid point longitude and latitude data file corresponding to the emission source, wherein the output data file cannot exceed 16 characters |
| nvar | Number of variables contained in Source document discharged (input and output are identical) |
| st_tstep | Starting time step of emission source to be obtained |
| end_tstep | The end time step of the emission source to be obtained cannot exceed the input file |
| new_st_year | Is an outputEmission source specified new year of onset |
| new_st_month | New start month specified for output emission source |
| new_st_day | New start date assigned to output emissions sources |
| new_st_hour | New start time assigned to output emission source |
Because the invention directly obtains the file parameters from the header file of the historical data of the discharge source, the invention can have less parameters needing to be configured, for example, the invention does not need to separately configure input grid information, output grid information, the number of input layers, the number of output layers and the like. The parameter configuration table used in the present embodiment is as follows.
And thirdly, screening target data in the first preset time period from the discharge source historical data according to the file parameters and the first preset time period, namely, the embodiment can read the data of the corresponding time period according to the file parameters and the specified time period. In some preferred embodiments of the present invention, the process of screening out the target data within the first preset time period comprises: the invention is based on the prior emission source historical data for completing chemical species classification, and does not need to perform a chemical species classification step, so the invention can simultaneously process all variables in the target data read from the emission source historical data, and does not distinguish all the variables.
And finally, outputting the target data to obtain the emission source data of the air quality model. In this embodiment, the target data may be output according to the file parameter and the first preset time period, and the process of outputting the target data includes: and writing the target data into an output file according to the file parameters and the first preset time period, wherein the output file can contain latest generated emission source data which can be used by the current air quality model, and the file format of the output file can be a netCDF format.
In some improved schemes of the invention, whether periodic output is needed or not can also be judged. If necessary, the first preset time period of the present invention includes a plurality of sub-time periods, and the process of outputting the target data includes: target data in a plurality of sub-periods are periodically output, and all the output target data (target data in all the sub-periods) are used as emission source data of the air quality model. Therefore, the time dimension of the output file can be flexibly configured, and the time dimension of the output file can be completely larger than that of the input file. It should be understood that the specific values of the first preset time period, the second preset time period and the sub-time period in the present invention can be set or selected reasonably according to actual situations, but the sub-time period is required to be less than or equal to the second preset time period. In the case that the periodic output is not required, the first preset time period of the present invention may include only one sub-time period, and the process of outputting the target data includes: and outputting target data in a sub-period as emission source data of the air quality model.
Example two:
as shown in fig. 2, the present embodiment provides an emission source data generating apparatus of an air quality model based on the same inventive concept as the first embodiment. Before the simulation of the air quality mode is carried out, the emission source data generation device can be used as an air quality model emission source data rapid generation tool to rapidly generate emission source data. In this embodiment, the emission source data generating apparatus includes, but is not limited to, a data obtaining module, a file reading module, a parameter extracting module, a data screening module, and a data outputting module.
The data acquisition module is used for acquiring emission source historical data of the current air quality model. The emission source history data of the current air quality model in the present invention may be data of a set simulation region within a set time period, and the set time period may be, for example, the second preset time period in the first embodiment.
The file reading module is used for reading the head file from the discharge source historical data.
The parameter extraction module is used for extracting file parameters from the head file so as to obtain the attribute information of the emission source historical data. The file parameters in this embodiment may include, but are not limited to, row parameters, column parameters, layer parameters, grid point longitude and latitude parameters, and the like.
The data screening module can be used for screening target data in a first preset time period from the emission source historical data according to the file parameters and the first preset time period, and the target data in the embodiment is data with both size and direction, so that the process can be a vector processing process when being specifically realized. The data screening module may also be used to simultaneously process all variables in the target data read from the emission source historical data. The data filtering module in this embodiment may perform one or more times, i.e., a time period processing procedure. For example, when the first preset time period comprises one sub-time period, the data screening module is executed once, the data output module outputs target data in one sub-time period, and the output target data in one sub-time period is used as emission source data of the air quality model; and when the first preset time period comprises a plurality of sub-time periods, the data screening module executes for a plurality of times, the data output module periodically outputs the target data in the sub-time periods, and the output target data in the sub-time periods is used as the emission source data of the air quality model.
The data output module can be used for outputting target data to obtain emission source data of the air quality model; in specific implementation, the target data can be written into an output file according to specific file parameters and a first preset time period, and the emission source data of the current air quality model is recorded through the output file.
In specific implementation, the rapid generation tool for Air Quality model emission source data in this embodiment may be developed based on a Formula Translation (Formula Translation) language and an Input/Output Application Programming Interface (i/o api), and may implement flexible time-dimension Output of CMAQ (common multi-scale Air Quality) mode emission source data, and the configuration is simple and convenient.
Example three:
based on the same inventive concept as in the first embodiment or the second embodiment, this embodiment may provide a computer-readable storage medium, on which a computer program is stored in the embodiment. When executed by a processor, the computer program can implement the emission source data generation method of the air quality model in the first embodiment or the emission source data generation apparatus of the air quality model in the second embodiment.
The logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable storage medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable storage medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer cartridge (magnetic device), a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM-Only Memory, or flash Memory), an optical fiber device, and a portable Compact Disc Read-Only Memory (CDROM). Additionally, the computer-readable storage medium may even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic Gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic Gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "the present embodiment," "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and simplifications made in the spirit of the present invention are intended to be included in the scope of the present invention.
Claims (4)
1. A method of generating emission source data for an air quality model, comprising:
acquiring emission source historical data of a current air quality model, wherein the emission source historical data is a gridding emission source file of a simulation area; the historical data of the emission source is data of a set simulation area in a second preset time period;
reading a header file from the emission source historical data;
extracting file parameters from the header file; the file parameters comprise column parameters, row parameters, layer parameters, grid parameters and grid point longitude and latitude parameters;
screening target data in a first preset time period from the discharge source historical data according to the file parameters and the first preset time period, wherein the screening comprises the following steps: simultaneously processing all variables in the target data read from the emission source historical data;
outputting the target data to obtain emission source data of an air quality model;
the first preset time period comprises a plurality of sub-time periods, and the sub-time periods are less than or equal to a second preset time period; the process of outputting the target data includes: and periodically outputting target data in a plurality of sub-periods, and taking all the output target data as emission source data of the air quality model.
2. The emission source data generation method of an air quality model according to claim 1, wherein the process of outputting the target data includes:
and writing the target data into an output file according to the file parameters and a first preset time period.
3. An emission source data generating apparatus of an air quality model, comprising:
the data acquisition module is used for acquiring emission source historical data of a current air quality model, wherein the emission source historical data is a gridding emission source file of a simulation area; the historical data of the emission source is data of a set simulation area in a second preset time period;
the file reading module is used for reading a head file from the historical data of the emission source;
the parameter extraction module is used for extracting file parameters from the header file; the file parameters comprise column parameters, row parameters, layer parameters, grid parameters and grid point longitude and latitude parameters;
the data screening module is used for screening target data in a first preset time period from the emission source historical data according to the file parameters and the first preset time period, and is also used for simultaneously processing all variables in the target data read from the emission source historical data;
the data output module is used for outputting the target data to obtain emission source data of an air quality model; the first preset time period comprises a plurality of sub-time periods, and the sub-time periods are less than or equal to a second preset time period; the data output module is used for periodically outputting target data in a plurality of sub-time periods, and all the output target data are used as emission source data of the air quality model.
4. A computer-readable storage medium, characterized in that a computer program is stored thereon, which program, when being executed by a processor, carries out the emission source data generating method of the air quality model according to any one of claims 1-2.
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| CN103984773A (en) * | 2014-06-05 | 2014-08-13 | 南京信息工程大学 | Method for converting multi-format weather radar base data file into NetCDF file |
| CN108710604A (en) * | 2018-05-23 | 2018-10-26 | 成都市环境保护科学研究院 | A kind of City-scale high-resolution models emission inventories processing method based on SMOKE models |
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