CN116741311B - Method and device for outputting natural source volatile organic compounds BVOCs emission list - Google Patents

Method and device for outputting natural source volatile organic compounds BVOCs emission list Download PDF

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CN116741311B
CN116741311B CN202311015556.3A CN202311015556A CN116741311B CN 116741311 B CN116741311 B CN 116741311B CN 202311015556 A CN202311015556 A CN 202311015556A CN 116741311 B CN116741311 B CN 116741311B
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王倩
钟方潜
肖林鸿
王文丁
魏巍
滕宇
陈焕盛
吴剑斌
秦东明
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3Clear Technology Co Ltd
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Abstract

The application provides a method and a device for outputting a natural source volatile organic compound BVOCs emission list, belonging to the field of environmental science. The method comprises the following steps: running a MEGAN model to estimate BVCs emissions, determining an emissions amount of a first number of MEGAN mechanism BVCs species of the MEGAN mechanism; classifying the MEGAN mechanism BVOCs species and the emissions per MEGAN mechanism BVOCs species in the MEGAN model, outputting a transitional BVOCs meshing list comprising a second number of characteristic BVOCs species and the emissions per characteristic BVOCs species, the second number being smaller than the first number; and converting the transitional BVOC meshing list into a target BVOC meshing list of at least one model mechanism based on a preset mapping relation corresponding to the at least one model mechanism, wherein the mapping relation is used for indicating mapping between the characteristic BVOC species and the model mechanism BVOC species. By adopting the application, the output efficiency of the BVOCs emission list can be improved.

Description

Method and device for outputting natural source volatile organic compounds BVOCs emission list
Technical Field
The application relates to the field of environmental science, in particular to a method and a device for outputting a natural source volatile organic compound BVOCs emission list.
Background
VOCs are a collective term for volatile organic compounds released into the atmosphere by various human activities and biological metabolism. VOCs produced by human activity are called artificially derived VOCs (Anthropogenic Volatile Organic Compounds, AVOCs), VOCs excreted by natural biological metabolism are called naturally derived VOCs (Biogenic Volatile Organic Compounds, BVOC). VOCs are important precursors for forming ozone and secondary organic aerosol, and many components in the VOCs have high reactivity and are very easy to react with various gases (NO, NO 2 ) The oxidizing agent, the free radical and the like react and play an important role in the atmospheric chemistry of the troposphere, in particular in the photochemical process of ozone. At the regional and global scales, vegetation emissions have far exceeded anthropogenic VOCs, and studies have shown that global BVOCs emissions account for about 90% of annual emissions of global VOCs. Thus, studying BOCs emissions could be a further evaluation of natural source versus O 3 And SOA (Secondary Organic Aerosol), the secondary organic aerosol generation contribution.
Currently, estimation of BVOCs mostly adopts a MEGAN (Model of Emissions of Gases and Aerosols from Nature, natural source gas and aerosol emission model) model, which can generate a grid emission list of a specific mechanism according to a required model mechanism, and then, the grid emission list is fused with an artificial source emission list, and finally, the grid emission list is used in an air quality model. However, since the MEGAN can only generate a corresponding mechanism list according to different model mechanisms at present, if different mechanisms are required to be applied to different air quality models at the same time, the MEGAN needs to be operated for a plurality of times, and a BVOCs gridding list of different model mechanisms is generated.
Therefore, there is a need for a method for outputting BVOCs emission list to improve the output efficiency of BVOCs emission list.
Disclosure of Invention
In order to solve the problems in the prior art, the embodiment of the application provides a method and a device for outputting a BVOCs emission list of natural source volatile organic compounds, which can reduce the operation times of a MEGAN model and improve the output efficiency of the BVOCs emission list. The technical proposal is as follows:
according to an aspect of the present application, there is provided a method for outputting a natural source volatile organic compounds BVOCs emission list, the method comprising:
running a MEGAN model to estimate BVCs emissions, determining an emissions amount of a first number of MEGAN mechanism BVCs species of the MEGAN mechanism;
classifying the first number of MEGAN mechanism BVOCs species and emissions per MEGAN mechanism BVOCs species in the MEGAN model, outputting a transitional BVOCs meshing list, wherein the transitional BVOCs meshing list comprises a second number of characteristic BVOCs species and emissions per characteristic BVOCs species, the second number being less than the first number;
and converting the transitional BVOC meshing list into a target BVOC meshing list of at least one model mechanism based on a preset mapping relation corresponding to the at least one model mechanism, wherein the mapping relation is used for indicating mapping between the characteristic BVOC species and the model mechanism BVOC species.
Optionally, the method further comprises:
constructing an SPC file of the MEGAN model based on the second number of characteristic BVOCs species;
constructing a MAP file of the MEGAN model based on the conversion relation between the MEGAN mechanism BOCs species and the characteristic BOCs species;
and recompiling a mechanism conversion module of the MEGAN model based on the SPC file and the MAP file.
Optionally, classifying the first number of MEGAN mechanism BVOCs species and the emission amount of each MEGAN mechanism BVOCs species in the MEGAN model, and outputting a transitional BVOCs gridding list, including:
in the mechanism conversion module of the MEGAN model, determining a target characteristic BVOCs species to be converted by a MEGAN mechanism BVOCs species based on the SPC file and the MAP file, and converting an emission amount of the MEGAN mechanism BVOCs species into an emission amount of the target characteristic BVOCs species;
determining the emissions of each of the characteristic BVOCs species;
a transitional BVOCs grid list is constructed and output based on the second number of characteristic BVOCs species and the emissions of each of the characteristic BVOCs species.
Optionally, the mapping relation includes a mapping proportion;
The converting the transitional BVOCs gridding list into a target BVOCs gridding list of the at least one model mechanism based on a mapping relation corresponding to the at least one preset model mechanism comprises the following steps:
for each model mechanism to be converted, the following process is performed to construct the target BVOCs meshing list:
in the mapping relation corresponding to the model mechanism, determining at least one target model mechanism BOCs species to be mapped of the characteristic BOCs species and a target mapping proportion corresponding to the target model mechanism BOCs species, and converting the emission of the characteristic BOCs species into the emission of the at least one target model mechanism BOCs species according to the target mapping proportion;
determining the emissions of each model mechanism BVOCs species;
based on each model mechanism BVOCs species and the emissions of each model mechanism BVOCs species, a target BVOCs meshing list of the model mechanism is constructed.
Optionally, before the operation of the MEGAN model to estimate BVOCs emissions, the method further includes:
acquiring a conversion request triggered by a user, wherein the conversion request comprises an identification of at least one model mechanism to be converted;
and acquiring the mapping relation corresponding to the at least one model mechanism to be converted based on the identification of the at least one model mechanism to be converted.
Optionally, after the outputting the transitional BVOCs gridding list, the method further includes:
and counting the set BOCs categories in the transitional BOCs meshing list, and determining the emission amount of each set BOCs category.
Optionally, the set BVOCs class includes isoprene, monoterpene, sesquiterpene.
According to another aspect of the present application, there is provided an output device for a natural source volatile organic compounds BVOCs emissions list, said device comprising:
the operation module is used for operating the MEGAN model to estimate BVCs emissions and determining the emissions of a first number of MEGAN mechanism BVCs species of the MEGAN mechanism;
an output module configured to categorize the first number of MEGAN mechanism BVOCs species and the emissions of each of the MEGAN mechanism BVOCs species in the MEGAN model, and output a transitional BVOCs meshing list, wherein the transitional BVOCs meshing list includes a second number of characteristic BVOCs species and the emissions of each of the characteristic BVOCs species, the second number being less than the first number;
and the mapping module is used for converting the transitional BVOC meshing list into a target BVOC meshing list of at least one model mechanism based on a mapping relation corresponding to the at least one model mechanism, wherein the mapping relation is used for indicating mapping between the characteristic BVOC species and the model mechanism BVOC species.
Optionally, the apparatus further includes a compiling module, where the compiling module is configured to:
constructing an SPC file of the MEGAN model based on the second number of characteristic BVOCs species;
constructing a MAP file of the MEGAN model based on the conversion relation between the MEGAN mechanism BOCs species and the characteristic BOCs species;
and recompiling a mechanism conversion module of the MEGAN model based on the SPC file and the MAP file.
Optionally, the output module is configured to:
in the mechanism conversion module of the MEGAN model, determining a target characteristic BVOCs species to be converted by a MEGAN mechanism BVOCs species based on the SPC file and the MAP file, and converting an emission amount of the MEGAN mechanism BVOCs species into an emission amount of the target characteristic BVOCs species;
determining the emissions of each of the characteristic BVOCs species;
a transitional BVOCs grid list is constructed and output based on the second number of characteristic BVOCs species and the emissions of each of the characteristic BVOCs species.
Optionally, the mapping relation includes a mapping proportion;
the mapping module is used for:
for each model mechanism to be converted, the following process is performed to construct the target BVOCs meshing list:
In the mapping relation corresponding to the model mechanism, determining at least one target model mechanism BOCs species to be mapped of the characteristic BOCs species and a target mapping proportion corresponding to the target model mechanism BOCs species, and converting the emission of the characteristic BOCs species into the emission of the at least one target model mechanism BOCs species according to the target mapping proportion;
determining the emissions of each model mechanism BVOCs species;
based on each model mechanism BVOCs species and the emissions of each model mechanism BVOCs species, a target BVOCs meshing list of the model mechanism is constructed.
Optionally, the operation module is further configured to:
acquiring a conversion request triggered by a user, wherein the conversion request comprises an identification of at least one model mechanism to be converted;
and acquiring the mapping relation corresponding to the at least one model mechanism to be converted based on the identification of the at least one model mechanism to be converted.
Optionally, the output module is further configured to:
and counting the set BOCs categories in the transitional BOCs meshing list, and determining the emission amount of each set BOCs category.
Optionally, the set BVOCs class includes isoprene, monoterpene, sesquiterpene.
According to another aspect of the present application, there is provided an electronic apparatus including:
a processor; and
a memory in which a program is stored,
the program comprises instructions which, when executed by the processor, cause the processor to perform the method of outputting the natural source volatile organic compound BVOCs emission list described above.
According to another aspect of the present application, there is provided a non-transitory computer readable storage medium storing computer instructions for causing the computer to execute the method of outputting the above-mentioned natural source volatile organic compound BVOCs emission list.
The application has the following beneficial effects:
(1) And running a MEGAN model once, classifying the first number of MEGAN mechanism BOCs species and the discharge amount of each MEGAN mechanism BOCs species in the MEGAN model, converting the first number of MEGAN mechanism BOCs species and the discharge amount of each MEGAN mechanism BOCs species into a second number of characteristic BOCs species and the discharge amount of each characteristic BOCs species, and outputting a corresponding transitional BOCs grid list through the MEGAN model. Further, the transitional BVOCs meshing list may be converted to a target BVOCs meshing list of the at least one model mechanism. Therefore, when the BOCs gridding list of multiple model mechanisms is constructed, the MEGAN model is only required to be operated once, and the MEGAN model is not required to be operated for multiple times according to different model mechanisms, so that the operation times of the MEGAN model are reduced, and the efficiency of outputting the BOCs gridding list of different model mechanisms is improved.
(2) And the transitional BOCs grid list is adopted to count the discharge amount of the set BOCs category, and the method for counting the discharge amount of the set BOCs category is the same no matter what kind of model mechanism the BOCs grid list is converted into later, so that the complexity of counting work is greatly reduced, and the counting efficiency is improved.
Drawings
Further details, features and advantages of the application are disclosed in the following description of exemplary embodiments with reference to the following drawings, in which:
fig. 1 shows a flowchart of a method for outputting BVOCs emissions list provided according to an exemplary embodiment of the application;
fig. 2 shows a schematic diagram of the correspondence between MEGAN mechanism BVOCs species and characteristic BVOCs species provided according to an exemplary embodiment of the application;
FIG. 3 illustrates a technical route schematic provided in accordance with an exemplary embodiment of the present application;
fig. 4 shows a schematic diagram of the correspondence between a CB05 mechanism BVOCs species and a characteristic BVOCs species provided according to an exemplary embodiment of the application;
fig. 5 shows a schematic block diagram of an output device of BVOCs emissions list provided according to an exemplary embodiment of the application;
fig. 6 shows a block diagram of an exemplary electronic device that can be used to implement an embodiment of the application.
Detailed Description
Embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While the application is susceptible of embodiment in the drawings, it is to be understood that the application may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided to provide a more thorough and complete understanding of the application. It should be understood that the drawings and embodiments of the application are for illustration purposes only and are not intended to limit the scope of the present application.
It should be understood that the various steps recited in the method embodiments of the present application may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the application is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below. It should be noted that the terms "first," "second," and the like herein are merely used for distinguishing between different devices, modules, or units and not for limiting the order or interdependence of the functions performed by such devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those skilled in the art will appreciate that "one or more" is intended to be construed as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the devices in the embodiments of the present application are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The application provides a method for outputting a natural source volatile organic compound BVOCs emission list, which can be completed by a terminal, a server and/or other equipment with processing capability. The method provided by the embodiment of the application can be completed by any device or can be completed by a plurality of devices together.
The method will be described with reference to a flowchart of the output method of BVOCs emissions list shown in fig. 1.
In step 101, a MEGAN model is run to estimate BVCs emissions to determine emissions of a first number of MEGAN mechanism BVCs species of the MEGAN mechanism.
In one possible implementation, each time a user needs to apply BVOCs emissions drafts of different model mechanisms to different air quality models, a corresponding conversion request may be triggered. After receiving the conversion request, the device may run the MEGAN model, load land type data, meteorological data, and atmospheric composition data, etc., to estimate BVOCs emissions, estimating emissions for each BVOCs species. The MEGAN model, among others, classifies BVOCs species, for example 201 BVOCs species in the latest meganv3.1 (i.e. the first number of MEGAN mechanism BVOCs species).
Since the BVOCs species classified by different model mechanisms are not exactly the same, the BVOCs species classified by the MEGAN model are referred to as the MEGAN model in this embodiment, and the BVOCs species classified by other model mechanisms are the same in the following.
Step 102, classifying the first number of MEGAN BOCs and the emissions of each MEGAN BOCs, and outputting a transitional BOCs grid list.
The transitional BVOCs gridding list comprises a second number of characteristic BVOCs species and an emission amount of each characteristic BVOCs species, wherein the second number is smaller than the first number.
In one possible embodiment, by summarizing the characteristics of the MEGAN mechanism BVOCs species and the BVOCs species of the other model mechanisms, one can design a characteristic BVOCs species that characterizes the characteristics and pre-set the characteristic BVOCs species in the MEGAN model. In general, the number of characteristic BVOCs species is smaller than the number of MEGAN mechanism BVOCs species and facilitates mapping to other model mechanisms.
Upon conversion, after calculating the emissions of the MEGAN-engineered BVOCs species in the MEGAN model, each MEGAN-engineered BVOCs species may be categorized into the above-described characteristic BVOCs species, and the emissions of the MEGAN-engineered BVOCs species may be correspondingly converted into the emissions of the corresponding characteristic BVOCs species. After the conversion is completed, a transitional BVOCs grid list can be constructed based on the identification of each characteristic BVOCs species and the corresponding emissions and used as the output of the MEGAN model.
Optionally, a set of source code files that do not undergo mechanism conversion may be added to the original mechanism conversion module of the MEGAN, so as to implement the above step 102, and the corresponding processing may be as follows:
constructing an SPC file of the MEGAN model based on the second number of the characteristic BVOCs species;
constructing a MAP file of the MEGAN model based on the conversion relation between the MEGAN mechanism BOCs species and the characteristic BOCs species;
the mechanism conversion module of the MEGAN model is recompiled based on the SPC file and the MAP file.
Wherein, the SPC file can be used to set the target BOCs species to be converted by the MEGAN mechanism BOCs species, and the MAP file can be used to set the conversion factor between the MEGAN mechanism BOCs species and the target BOCs species to be converted. The target BOCs species is typically a BOCs species of any model mechanism, and the present application sets the target BOCs species as a characteristic BOCs species that is not a BOCs species of any model mechanism, i.e., a set of source code files that do not undergo mechanism conversion are added.
In one possible implementation, the information of the second number of characteristic BVOCs species may be compiled as SPC files of the MEGAN model. As one example, the characteristic BVOCs species recorded in the SPC file may be as shown in table 1 below.
Table 1 characteristic BVOCs species recorded in SPC file
Conversion coefficients between the MEGAN mechanism BVOCs species and the characteristic BVOCs species are compiled as MAP files of the MEGAN model. As an example, the conversion coefficients recorded in the MAP file may be shown in table 2 below, not all the species are shown in table 2, and a schematic diagram of the correspondence between the corresponding MEGAN mechanism BVOCs species and the characteristic BVOCs species is shown in fig. 2.
TABLE 2 conversion relationship of MEGAN mechanism BOCs species to characteristic BOCs species
Wherein isoprene represents isoprene, MBO_2m3e2ol and MBO represents 2-methyl-3-buten-2-ol, pinene_a and alpha-pinene represent alpha-pinene, pinene_b and beta-pinene represent beta-pinene, myrcene represents myrcene, ocene_al represents 2, 6-dimethyl-2, 4, 6-octatriene, other-monoterenes represent other monoterpenes.
The SPC file and the MAP file are added in a mechanism conversion module of the MEGAN model, and the mechanism conversion module is recompiled, so that the MEGAN mechanism BOCs species are converted into corresponding characteristic BOCs species in conversion.
On this basis, the processing in step 102 may be as follows:
in a mechanism conversion module of the MEGAN model, determining a target characteristic BOCs species to be converted of the MEGAN mechanism BOCs species based on the SPC file and the MAP file, and converting the emission of the MEGAN mechanism BOCs species into the emission of the target characteristic BOCs species;
Determining the emissions of each of the characteristic BVOCs species;
a transitional BVOCs grid list is constructed and output based on the second number of characteristic BVOCs species and the emissions of each characteristic BVOCs species.
As an example, referring to tables 1 and 2 above, it may be determined that isoprene in MGEAN corresponds to isoprene in the characteristic BVOCs species, mbo_2m3e2ol in MGEAN corresponds to MBO in the characteristic BVOCs species, pinene_a in MGEAN corresponds to alpha-pinene in the characteristic BVOCs species, pinene_b in MGEAN corresponds to beta-pinene in the characteristic BVOCs species, myrcene in MGEAN corresponds to other-monoterenes in the characteristic BVOCs species, and ocene_al in MGEAN corresponds to other-monoterenes in the characteristic BVOCs species, each having a conversion factor of 1. Then within the ranges of tables 1 and 2 above, in the characteristic BOCs species, the emission of isoprene may be that of isoprene in MGEAN, the emission of MBO may be that of MBO_2m3e2ol in MGEAN, the emission of alpha-pin may be that of pin_a in MGEAN, the emission of beta-pin may be that of pin_b in MGEAN, and the emission of other-monopins may be the accumulation of myrcene, ocimene _al in MGEAN. After determining the emissions of each of the characteristic BVOCs species, a corresponding transitional BVOCs grid list may be constructed.
Step 103, converting the transitional BVOCs gridding list into a target BVOCs gridding list of at least one model mechanism based on a preset mapping relation corresponding to at least one model mechanism.
Wherein the mapping relationship is used to indicate the mapping between the characteristic BVOCs species and the model mechanism BVOCs species.
In one possible embodiment, after each characteristic BVOCs species is determined, a mapping relationship between the characteristic BVOCs species and the BVOCs species of each model mechanism may be determined, and a corresponding mapping file may be compiled. Referring to the technical route schematic shown in fig. 3, after obtaining the transitional BVOCs grid list output by the MEGAN model, a process of list processing may be performed to convert the transitional BVOCs grid list into a target BVOCs grid list of at least one model mechanism. Among these, model mechanisms may include CB05, CB6, SAPRC07, and RACM2, among others.
On the basis, when the BVOC gridding list of multiple model mechanisms is constructed, the MEGAN model is only required to be operated once, and the MEGAN model is not required to be operated for multiple times according to different model mechanisms, so that the operation times of the MEGAN model are reduced, and the efficiency of outputting the BVOC gridding list of different model mechanisms is improved.
Optionally, the mapping relationship includes a mapping ratio, and accordingly, the processing in step 103 may be as follows:
for each model mechanism to be converted, the following process is performed to construct the target BVOCs meshing list:
in a mapping relation corresponding to the model mechanism, determining at least one target model mechanism BOCs species to be mapped of the characteristic BOCs species and a target mapping proportion corresponding to the target model mechanism BOCs species, and converting the emission of the characteristic BOCs species into the emission of the at least one target model mechanism BOCs species according to the target mapping proportion;
determining the emissions of each model mechanism BVOCs species;
based on each model regime BVOCs species and the emissions of each model regime BVOCs species, a target BVOCs meshing list of model regimes is constructed.
Wherein the mapping ratio may refer to a mass ratio or a molar ratio.
The process of constructing a gridded list of BVOCs, a CB05 mechanism, will be described below by taking the CB05 mechanism as an example.
The mapping relationship corresponding to the CB05 mechanism is shown in table 3 below, not all the species are shown in table 3, and the schematic diagram of the corresponding relationship between the BVOCs species of the CB05 mechanism and the characteristic BVOCs species is shown in fig. 4.
Table 3 mapping relationship corresponding to CB05 mechanism
Wherein ISOP represents isoprene, IOLE represents internal olefin, PAR represents a single carbon-carbon bond, and TERP represents terpene.
Referring to Table 3 above, it can be determined that isoprene in a characteristic BOCs species corresponds to an ISOP in a CB05 mechanism BOCs species with a mass ratio of ISOP to isoprene of 1; MBO in the characteristic BVOCs species corresponds to IOLE and PAR in the CB05 mechanism BVOCs species, the IOLE mass ratio in MBO is 0.67 and the PAR mass ratio in MBO is 0.17; the alpha-pinene in the characteristic BOCs species corresponds to the TERP in the CB05 mechanism BOCs species, and the mass ratio of the TERP in the alpha-pinene is 1; the beta-pinene in the characteristic BOCs species corresponds to the TERP in the CB05 mechanism BOCs species, and the mass ratio of the TERP in the beta-pinene is 1; other-monoterenes in the characteristic BOCs species correspond to TERP in the CB05 mechanism BOCs species with a mass ratio of TERP in the other-monoterenes of 1.
Then in the above Table 3 range, in the CB05 mechanism BOCs species, the ISOP emission may be isoprene emission, the IOLE emission may be MBO emission 0.67, the PAR emission may be MBO emission 0.17, and the TERP emission may be alpha-pin, beta-pin, other-monoterenes emission accumulation.
After the emissions of the characteristic BVOCs species are assigned to each CB05 mechanism BVOCs species, a CB05 mechanism BVOCs grid list can be constructed.
The mapping process of the rest model mechanisms is the same as that described above, and this embodiment will not be described one by one.
Optionally, the mapping relationships corresponding to the plurality of model mechanisms may be stored in the device in advance, and in the conversion process, BVOCs gridding lists of one, two or more model mechanisms may be converted and output according to the needs of the user, so as to meet the conversion needs of each user, further reduce the list processing process, and improve the efficiency of outputting BVOCs gridding lists. Accordingly, before running the MEGAN model to estimate BVOCs emissions, the following processes may be further included:
acquiring a conversion request triggered by a user, wherein the conversion request comprises an identification of at least one model mechanism to be converted;
and acquiring a mapping relation corresponding to the at least one model mechanism to be converted based on the identification of the at least one model mechanism to be converted.
On this basis, the above-described process of constructing the target BVOCs meshing list may be performed based on the acquired mapping relation, and the BVOCs meshing list may not be constructed for all model mechanisms.
Alternatively, the transitional BOCs grid listing described above may also be used for the BOCs categories required for statistical studies. After outputting the transitional BVOCs gridded manifest, the following process may also be performed:
the set BVOCs categories are counted in the transitional BVOCs meshing list, and the emission amount of each set BVOCs category is determined.
Wherein, setting BVOCs class may include isoprene, monoterpene, sesquiterpene.
BVCs emissions account for approximately 89% of the global VOCs emissions, which are O 3 And important precursors for secondary organic aerosol (Secondary Organic Aerosol, SOA) formation. BOCs have high reactivity with hydroxyl radicals (OH) and nitrate radicals (NO) 3 ) The reaction is carried out,affecting the formation of critical substances in the atmosphere, also peroxy hydroxyl radicals (HO 2 ) And organic peroxy Radicals (RO) 2 ) And these radicals can in turn be combined with NO 3 Reaction promotion O 3 Is generated. In addition, the oxidation products of some BOCs may form an SOA, which has a significant impact on the radiation balance of the earth. BVOCs include mainly isoprene, alkanes, terpenes, etc., and are generally classified into four types of Isoprene (ISOP), monoterpene (TERP), sesquiterpene (SESQ), and other BVOCs. The estimation of these four types of VOCs emitted by BOCs is their estimation of O 3 And the SOA generates important content for contribution assessment.
However, the different model mechanisms are inconsistent with respect to the classification of BVOCs species, and thus statistics on BVOCs emissions of a particular class are not very convenient to implement.
The application adopts the transitional BVOCs grid list to count the discharge amount of the set BVOCs class, and the method for counting the discharge amount of the set BVOCs class is the same no matter what model mechanism the BVOCs grid list is converted into later, thereby greatly reducing the complexity of the counting work and improving the counting efficiency.
Specifically, the BVOCs emissions of the four types may be counted according to the formulas (1) to (4), where E represents the emissions.
（1）
（2）
（3）
（4）
The embodiment of the application has the following beneficial effects:
(1) And running a MEGAN model once, classifying the first number of MEGAN mechanism BOCs species and the discharge amount of each MEGAN mechanism BOCs species in the MEGAN model, converting the first number of MEGAN mechanism BOCs species and the discharge amount of each MEGAN mechanism BOCs species into a second number of characteristic BOCs species and the discharge amount of each characteristic BOCs species, and outputting a corresponding transitional BOCs grid list through the MEGAN model. Further, the transitional BVOCs meshing list may be converted to a target BVOCs meshing list of the at least one model mechanism. Therefore, when the BOCs gridding list of multiple model mechanisms is constructed, the MEGAN model is only required to be operated once, and the MEGAN model is not required to be operated for multiple times according to different model mechanisms, so that the operation times of the MEGAN model are reduced, and the efficiency of outputting the BOCs gridding list of different model mechanisms is improved.
(2) And the transitional BOCs grid list is adopted to count the discharge amount of the set BOCs category, and the method for counting the discharge amount of the set BOCs category is the same no matter what kind of model mechanism the BOCs grid list is converted into later, so that the complexity of counting work is greatly reduced, and the counting efficiency is improved.
The embodiment of the application provides an output device of a natural source volatile organic compound BVOC discharge list, which is used for realizing the output method of the natural source volatile organic compound BVOC discharge list. As shown in the schematic block diagram of the output device of BVOCs emissions list of fig. 5, the output device 500 of BVOCs emissions list comprises: run module 501, output module 502, map module 503.
An operation module 501 configured to operate the MEGAN model to estimate BVOCs emissions and determine an emissions amount of a first number of MEGAN mechanism BVOCs species of the MEGAN mechanism;
an output module 502 configured to categorize the first number of MEGAN mechanism BVOCs species and the emissions of each of the MEGAN mechanism BVOCs species in the MEGAN model, and output a transitional BVOCs meshing list, wherein the transitional BVOCs meshing list includes a second number of characteristic BVOCs species and the emissions of each of the characteristic BVOCs species, the second number being less than the first number;
A mapping module 503, configured to convert the transitional BVOCs meshing list into a target BVOCs meshing list of the at least one model mechanism based on a mapping relationship corresponding to the at least one model mechanism, where the mapping relationship is used to indicate a mapping between the characteristic BVOCs species and the model mechanism BVOCs species.
Optionally, the apparatus further includes a compiling module, where the compiling module is configured to:
constructing an SPC file of the MEGAN model based on the second number of characteristic BVOCs species;
constructing a MAP file of the MEGAN model based on the conversion relation between the MEGAN mechanism BOCs species and the characteristic BOCs species;
and recompiling a mechanism conversion module of the MEGAN model based on the SPC file and the MAP file.
Optionally, the output module 502 is configured to:
in the mechanism conversion module of the MEGAN model, determining a target characteristic BVOCs species to be converted by a MEGAN mechanism BVOCs species based on the SPC file and the MAP file, and converting an emission amount of the MEGAN mechanism BVOCs species into an emission amount of the target characteristic BVOCs species;
determining the emissions of each of the characteristic BVOCs species;
A transitional BVOCs grid list is constructed and output based on the second number of characteristic BVOCs species and the emissions of each of the characteristic BVOCs species.
Optionally, the mapping relation includes a mapping proportion;
the mapping module 503 is configured to:
for each model mechanism to be converted, the following process is performed to construct the target BVOCs meshing list:
in the mapping relation corresponding to the model mechanism, determining at least one target model mechanism BOCs species to be mapped of the characteristic BOCs species and a target mapping proportion corresponding to the target model mechanism BOCs species, and converting the emission of the characteristic BOCs species into the emission of the at least one target model mechanism BOCs species according to the target mapping proportion;
determining the emissions of each model mechanism BVOCs species;
based on each model mechanism BVOCs species and the emissions of each model mechanism BVOCs species, a target BVOCs meshing list of the model mechanism is constructed.
Optionally, the running module 501 is further configured to:
acquiring a conversion request triggered by a user, wherein the conversion request comprises an identification of at least one model mechanism to be converted;
And acquiring the mapping relation corresponding to the at least one model mechanism to be converted based on the identification of the at least one model mechanism to be converted.
Optionally, the output module 502 is further configured to:
and counting the set BOCs categories in the transitional BOCs meshing list, and determining the emission amount of each set BOCs category.
Optionally, the set BVOCs class includes isoprene, monoterpene, sesquiterpene.
The embodiment of the application has the following beneficial effects:
(1) And running a MEGAN model once, classifying the first number of MEGAN mechanism BOCs species and the discharge amount of each MEGAN mechanism BOCs species in the MEGAN model, converting the first number of MEGAN mechanism BOCs species and the discharge amount of each MEGAN mechanism BOCs species into a second number of characteristic BOCs species and the discharge amount of each characteristic BOCs species, and outputting a corresponding transitional BOCs grid list through the MEGAN model. Further, the transitional BVOCs meshing list may be converted to a target BVOCs meshing list of the at least one model mechanism. Therefore, when the BOCs gridding list of multiple model mechanisms is constructed, the MEGAN model is only required to be operated once, and the MEGAN model is not required to be operated for multiple times according to different model mechanisms, so that the operation times of the MEGAN model are reduced, and the efficiency of outputting the BOCs gridding list of different model mechanisms is improved.
(2) And the transitional BOCs grid list is adopted to count the discharge amount of the set BOCs category, and the method for counting the discharge amount of the set BOCs category is the same no matter what kind of model mechanism the BOCs grid list is converted into later, so that the complexity of counting work is greatly reduced, and the counting efficiency is improved.
The exemplary embodiment of the application also provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by the at least one processor for causing the electronic device to perform a method according to an embodiment of the application when executed by the at least one processor.
The exemplary embodiments of the present application also provide a non-transitory computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is for causing the computer to perform a method according to an embodiment of the present application.
The exemplary embodiments of the application also provide a computer program product comprising a computer program, wherein the computer program, when being executed by a processor of a computer, is for causing the computer to perform a method according to an embodiment of the application.
Referring to fig. 6, a block diagram of an electronic device 600 that may be a server or a client of the present application will now be described, which is an example of a hardware device that may be applied to aspects of the present application. Electronic devices are intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the applications described and/or claimed herein.
As shown in fig. 6, the electronic device 600 includes a computing unit 601 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 may also be stored. The computing unit 601, ROM 602, and RAM 603 are connected to each other by a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the electronic device 600 are connected to the I/O interface 605, including: an input unit 606, an output unit 607, a storage unit 608, and a communication unit 609. The input unit 606 may be any type of device capable of inputting information to the electronic device 600, and the input unit 606 may receive input numeric or character information and generate key signal inputs related to user settings and/or function controls of the electronic device. The output unit 607 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, video/audio output terminals, vibrators, and/or printers. Storage unit 608 may include, but is not limited to, magnetic disks, optical disks. The communication unit 609 allows the electronic device 600 to exchange information/data with other devices through a computer network, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers and/or chipsets, such as bluetooth devices, wiFi devices, wiMax devices, cellular communication devices, and/or the like.
The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 601 performs the various methods and processes described above. For example, in some embodiments, the method of outputting the natural source volatile organic compound BVOCs emissions list may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 600 via the ROM 602 and/or the communication unit 609. In some embodiments, the computing unit 601 may be configured to perform the output method of the natural source volatile organic compounds BVOCs emissions list by any other suitable means (e.g., by means of firmware).
Program code for carrying out methods of the present application may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

Claims (8)

1. A method for outputting a natural source volatile organic compound BVOCs emission list, the method comprising:
Running a MEGAN model to estimate BVCs emissions, determining an emissions amount of a first number of MEGAN mechanism BVCs species of the MEGAN mechanism;
constructing an SPC file of the MEGAN model based on a second number of the characteristic BVOCs species;
constructing a MAP file of the MEGAN model based on the conversion relation between the MEGAN mechanism BOCs species and the characteristic BOCs species;
recompilation of the mechanism conversion module of the MEGAN model is performed based on the SPC file and the MAP file;
in the mechanism conversion module of the MEGAN model, determining a target characteristic BVOCs species to be converted by a MEGAN mechanism BVOCs species based on the SPC file and the MAP file, and converting an emission amount of the MEGAN mechanism BVOCs species into an emission amount of the target characteristic BVOCs species;
determining the emissions of each of the characteristic BVOCs species;
constructing and outputting a transitional BVOCs meshing list based on the second number of characteristic BVOCs species and the emissions of each of the characteristic BVOCs species, wherein the transitional BVOCs meshing list comprises a second number of characteristic BVOCs species and the emissions of each of the characteristic BVOCs species, the second number being less than the first number;
And converting the transitional BVOC meshing list into a target BVOC meshing list of at least one model mechanism based on a preset mapping relation corresponding to the at least one model mechanism, wherein the mapping relation is used for indicating mapping between the characteristic BVOC species and the model mechanism BVOC species.
2. The method of claim 1, wherein the mapping relationship comprises a mapping ratio;
the converting the transitional BVOCs gridding list into a target BVOCs gridding list of the at least one model mechanism based on a mapping relation corresponding to the at least one preset model mechanism comprises the following steps:
for each model mechanism to be converted, the following process is performed to construct the target BVOCs meshing list:
in the mapping relation corresponding to the model mechanism, determining at least one target model mechanism BOCs species to be mapped of the characteristic BOCs species and a target mapping proportion corresponding to the target model mechanism BOCs species, and converting the emission of the characteristic BOCs species into the emission of the at least one target model mechanism BOCs species according to the target mapping proportion;
determining the emissions of each model mechanism BVOCs species;
Based on each model mechanism BVOCs species and the emissions of each model mechanism BVOCs species, a target BVOCs meshing list of the model mechanism is constructed.
3. The method of any one of claims 1-2, wherein prior to the running the MEGAN model to estimate BVOCs emissions, further comprising:
acquiring a conversion request triggered by a user, wherein the conversion request comprises an identification of at least one model mechanism to be converted;
and acquiring the mapping relation corresponding to the at least one model mechanism to be converted based on the identification of the at least one model mechanism to be converted.
4. The method of claim 1, wherein after outputting the transitional BVOCs grid list, further comprising:
and counting the set BOCs categories in the transitional BOCs meshing list, and determining the emission amount of each set BOCs category.
5. The method of claim 4, wherein the set BVOCs class comprises isoprene, monoterpenes, sesquiterpenes.
6. An output device for a natural source volatile organic compounds BVOCs emissions list, said device comprising:
the operation module is used for operating the MEGAN model to estimate BVCs emissions and determining the emissions of a first number of MEGAN mechanism BVCs species of the MEGAN mechanism;
The compiling module is used for constructing SPC files of the MEGAN model based on a second number of characteristic BOCs species; constructing a MAP file of the MEGAN model based on the conversion relation between the MEGAN mechanism BOCs species and the characteristic BOCs species; recompilation of the mechanism conversion module of the MEGAN model is performed based on the SPC file and the MAP file;
an output module, configured to determine, in the mechanism conversion module of the MEGAN model, a target characteristic BVOCs species to be converted by the MEGAN mechanism BVOCs species based on the SPC file and the MAP file, and convert an emission amount of the MEGAN mechanism BVOCs species into an emission amount of the target characteristic BVOCs species; determining the emissions of each of the characteristic BVOCs species; constructing and outputting a transitional BVOCs meshing list based on the second number of characteristic BVOCs species and the emissions of each of the characteristic BVOCs species, wherein the transitional BVOCs meshing list comprises a second number of characteristic BVOCs species and the emissions of each of the characteristic BVOCs species, the second number being less than the first number;
and the mapping module is used for converting the transitional BVOC meshing list into a target BVOC meshing list of at least one model mechanism based on a mapping relation corresponding to the at least one model mechanism, wherein the mapping relation is used for indicating mapping between the characteristic BVOC species and the model mechanism BVOC species.
7. An electronic device, comprising:
a processor; and
a memory in which a program is stored,
wherein the program comprises instructions which, when executed by the processor, cause the processor to perform the method according to any of claims 1-5.
8. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1-5.
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