CN116739388B - Emission reduction measure evaluation method, device and storage medium - Google Patents
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Abstract
The disclosure provides an emission reduction measure evaluation method, an emission reduction measure evaluation device and a storage medium, wherein the emission reduction measure evaluation method comprises the following steps: displaying a user interface based on reference emission inventory data of the target area, wherein the user interface includes a point source of the target area, the reference emission inventory data includes information of the point source, and the information of one point source includes a point source code, a point source position, and emission pollutants; generating point source emission reduction data based on user operations on the point sources in the user interface, wherein the user operations comprise operations for configuring emission reduction proportions, and the point source emission reduction data comprises point source codes, point source positions and emission reduction proportions of the point sources; generating an emission reduction file based at least on the point source emission reduction data and the reference emission list data, wherein the emission reduction file is used as an input of an air quality mode; the air quality model was used to simulate atmospheric pollutant concentrations based on the emission abatement file to evaluate the emission abatement effect. By adopting the method and the device, an emission reduction scheme can be conveniently formulated, and the control refinement degree can be improved.
Description
Technical Field
The disclosure relates to the technical field of atmospheric environmental control, in particular to an emission reduction measure evaluation method, an emission reduction measure evaluation device and a storage medium.
Background
The scene analysis method is an important research tool in the field of strategic and planning research, and is used for analyzing a problem by constructing a hypothetical scene, setting and describing possible development situations of reasonable but uncertain events in a certain period in the future, predicting and comparing results corresponding to different scenes generated by uncertainty, namely setting a certain scene, and analyzing future influence of the possibility on a researched object. The regional atmosphere pollution dyeing raw hair is complex in mechanism and strong in uncertainty. Thus, contextual analysis provides a practical theoretical approach to the prediction and management of regional atmospheric pollution. At present, the scene analysis is widely applied to the aspects of energy, traffic, energy conservation, emission reduction, flood and the like, and the research on the management and control of the air pollution emission based on the scene analysis is also generated.
Numerical simulation is an important research method for carrying out analysis on atmospheric pollution emission reduction scenes, and to realize the effect of pre-evaluating an emission reduction scheme on improving air quality, firstly, weather conditions are required to be forecasted, specific emission reduction treatment is carried out on an emission list, then the weather conditions and the emission list are input into an air quality mode, and PM (particulate matter) under different emission reduction situations is realized 2.5 、O 3 SO and SO 2 And predicting the concentration of one or more atmospheric pollutants, and assessing the emission reduction effect based on the magnitude of the corresponding pollutant concentration decrease.
The current models applied to the simulation of the atmospheric pollution situation mainly comprise: AERMOD, CALPUFF, CAMx, CMAQ and WRF-chem, etc., wherein AERMOD and CALPUFF models are mostly used for simulating medium-small scale environmental problems, and are commonly used in environmental impact evaluation, and CMAQ and other three-generation air quality models can simulate complex physical and chemical processes among large-scale multi-pollutants, and are mostly used for environmental research and decision. The meteorological fields of these models are mainly provided by meteorological modes such as WRF, MM5 and the like.
The formulation of a management and control scheme often requires a number of pre-evaluations of alternative emission abatement schemes. However, most emission reduction scenario processing of emission input requires professional field personnel to carry out specialized specific processing stages, and lack operability of non-professional personnel, and formulation of a management and control scheme often requires a large number of pre-evaluations of alternative emission reduction schemes, so that scientificity and timeliness of formulation of the management and control scheme are difficult to ensure.
In addition, the control simulation is mostly used for controlling the non-point source at present, and the control refinement degree is lower. The emission reduction scene processing mode of emission input ensures that the cost for realizing fine management and control is higher.
Disclosure of Invention
The embodiment of the disclosure provides an emission reduction measure evaluation method, an emission reduction measure evaluation device and a storage medium, which are used for solving the technical problems of strong emission reduction scene processing professionals and low control refinement degree, and can screen out a relatively accurate, feasible, scientific and effective emergency emission control scheme on the basis of ensuring high timeliness.
According to an aspect of the embodiments of the present disclosure, there is provided an emission reduction measure evaluation method, including: displaying a user interface based on reference emission inventory data of the target area, wherein the user interface includes a point source of the target area, the reference emission inventory data includes information of the point source, and the information of one point source includes a point source code, a point source position, and emission pollutants; generating point source emission reduction data based on user operations on the point sources in the user interface, wherein the user operations comprise operations for configuring emission reduction proportions, and the point source emission reduction data comprises point source codes, point source positions and emission reduction proportions of the point sources; generating an emission reduction file based at least on the point source emission reduction data and the reference emission list data, wherein the emission reduction file is used as an input of an air quality mode; the air quality model was used to simulate atmospheric pollutant concentrations based on the emission abatement file to evaluate the emission abatement effect.
Optionally, the above user operation further includes an operation for configuring an emission reduction period, and the point source emission reduction data further includes an emission reduction period of the point source and an emission reduction ratio corresponding to the emission reduction period.
Optionally, the user operation further includes an operation for configuring emission reduction pollutants, and the point source emission reduction data further includes emission reduction pollutants of the point source and emission reduction proportions corresponding to the emission reduction pollutants.
Optionally, the generating the emission reduction file based on at least the point source emission reduction data and the reference emission list data includes: matching the point source in the reference emission inventory data and the information of the point source to the grid cell based on the position information of the point source in the reference emission inventory data and the position information of the grid cell; for a point source in the point source emission reduction data, determining a grid unit to which the point source belongs based on the point source position of the point source and the position information of the grid unit, determining the reference emission amount, emission reduction pollutant, emission reduction proportion and emission reduction time period of the point source in the grid unit to which the point source belongs based on the point source code of the point source, determining the emission reduction post-emission amount of each emission reduction time period based on the reference emission amount, emission reduction pollutant, emission reduction proportion and emission reduction time period of the point source, and adjusting the reference emission amount of the point source at the corresponding position in the grid unit to the emission reduction post-emission amount based on the point source position of the point source to obtain an intermediate file of the emission reduction point source emission amount; and generating an emission reduction file at least based on the point source emission amount intermediate file after emission reduction.
Optionally, the generating the emission reduction file based on the point source emission amount intermediate file after emission reduction includes: and performing species distribution according to the adopted air quality mode and a chemical mechanism thereof to generate an emission reduction file at least based on the point source emission intermediate file after emission reduction.
According to another aspect of the embodiments of the present disclosure, there is provided an emission abatement measure evaluation device including: a display module for displaying a user interface based on reference emission list data of a target area, wherein the user interface includes a point source of the target area, the reference emission list data includes information of the point source, and the information of one point source includes a point source code, a point source position, and emission pollutants; the generation module is used for generating point source emission reduction data based on user operation of a point source in a user interface, wherein the user operation comprises operation for configuring an emission reduction ratio, and the point source emission reduction data comprises point source codes, point source positions and emission reduction ratios of the point source; the generation module is further used for generating an emission reduction file at least based on the point source emission reduction data and the reference emission list data, wherein the emission reduction file is used as an input of an air quality mode; and the simulation module is used for simulating the concentration of the atmospheric pollutants based on the emission reduction file by using the air quality mode so as to evaluate the emission reduction effect.
Optionally, the above user operation further includes an operation for configuring an emission reduction period, and the point source emission reduction data further includes an emission reduction period of the point source and an emission reduction ratio corresponding to the emission reduction period.
Optionally, the user operation further includes an operation for configuring emission reduction pollutants, and the point source emission reduction data further includes emission reduction pollutants of the point source and emission reduction proportions corresponding to the emission reduction pollutants.
Optionally, the generating module is configured to: matching the point source in the reference emission inventory data and the information of the point source to the grid cell based on the position information of the point source in the reference emission inventory data and the position information of the grid cell; for a point source in the point source emission reduction data, determining a grid unit to which the point source belongs based on the point source position of the point source and the position information of the grid unit, determining the reference emission amount, emission reduction pollutant, emission reduction proportion and emission reduction time period of the point source in the grid unit to which the point source belongs based on the point source code of the point source, determining the emission reduction post-emission amount of each emission reduction time period based on the reference emission amount, emission reduction pollutant, emission reduction proportion and emission reduction time period of the point source, and adjusting the reference emission amount of the point source at the corresponding position in the grid unit to the emission reduction post-emission amount based on the point source position of the point source to obtain an intermediate file of the emission reduction post-point source emission amount; and generating an emission reduction file at least based on the point source emission amount intermediate file after emission reduction.
According to another aspect of the disclosed embodiments, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the above-described method.
According to one or more technical schemes provided by the embodiment of the application, a user interface is displayed based on the reference emission list data of the target area, the emission reduction data of the point source is generated based on the user operation of the point source in the user interface, and the emission reduction setting of the point source management and control is completed through simple visual operation. The emission reduction file is generated based on the point source emission reduction data and the reference emission list data, so that the participation of professionals is not needed, the cost can be reduced, and the timeliness is improved.
Drawings
Further details, features and advantages of the present disclosure are disclosed in the following description of exemplary embodiments, with reference to the following drawings, wherein:
FIG. 1 illustrates a flow chart of an emissions abatement measure evaluation method in accordance with an exemplary embodiment of the present disclosure;
FIG. 2 shows a schematic diagram of a user interface according to an exemplary embodiment of the present disclosure;
FIG. 3 illustrates a flowchart of generating an emission reduction file based on point source emission reduction data and baseline emission manifest data, according to an example embodiment of the present disclosure;
FIG. 4 illustrates a schematic diagram of an example system in which various methods described herein may be implemented, according to an example embodiment of the present disclosure;
FIG. 5 illustrates a schematic block diagram of an emission abatement measure evaluation device, according to an exemplary embodiment of the present disclosure;
fig. 6 illustrates a block diagram of an exemplary electronic device that can be used to implement embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure 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 present disclosure 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 in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the 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 of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
It should be noted that, the execution body of the emission reduction measure evaluation method provided by the embodiment of the present disclosure may be one or more electronic devices, which is not limited in this disclosure; the electronic device may be a terminal (i.e. a client) or a server, and when the execution body includes a plurality of electronic devices and the plurality of electronic devices include at least one terminal and at least one server, the emission reduction measure evaluation method provided by the embodiment of the present disclosure may be executed jointly by the terminal and the server. Accordingly, the terminals referred to herein may include, but are not limited to: smart phones, tablet computers, notebook computers, desktop computers, smart watches, intelligent voice interaction devices, intelligent home appliances, vehicle terminals, and the like. The server mentioned herein may be an independent physical server, or may be a server cluster or a distributed system formed by a plurality of physical servers, or may be a cloud server that provides cloud services, cloud databases, cloud computing (cloud computing), cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network ), and basic cloud computing services such as big data and artificial intelligence platforms, and so on.
Based on the above description, the embodiments of the present disclosure propose an emission abatement measure evaluation method that can be performed by the above-mentioned electronic device (terminal or server); alternatively, the emission abatement measure evaluation method may be performed jointly by the terminal and the server.
Fig. 1 shows a flowchart of an emission abatement measure evaluation method according to an exemplary embodiment of the present disclosure, and as shown in fig. 1, an emission abatement measure evaluation method of an embodiment of the present disclosure includes steps S102 to S108.
Step S102, a user interface is displayed based on the reference emission list data of the target area.
The target area may be an area to be controlled, i.e. an area to be controlled is provided with emission reduction measures. The target area may be an administrative area. The embodiment of the application does not limit the division of the target area. The target area may also be a sub-area of the area to be managed, such as an industrial park of a city. In this embodiment, the point source of any region may be displayed in the user interface.
Atmospheric pollution sources can be classified into four categories of point sources, surface sources, line sources and body sources according to the simulation form of the prediction mode. The point source refers to a fixed point source which is intensively discharged through a certain device, and the point source pollution model is a model for describing the pollution degree of a single pollution source to the atmosphere, such as a chimney, a gas cylinder and the like. The surface source refers to a source for discharging pollutants from the ground or near ground in a low concentration mode in a certain area range, such as an unorganized discharge source, a storage pile, a slag yard and the like in the process. The line source refers to a source of linear emission of pollutants or linear emission constituted by a moving source, such as an emission source of motor vehicles on urban roads, etc. The body source refers to a source which enables pollutants to be discharged to the atmosphere in a certain volume by the aerodynamic action of the source or a nearby building, such as a coke oven body, a roof skylight and the like.
In this embodiment, the reference emissions inventory data includes information of point sources. It should be appreciated that the baseline emissions inventory data may also include information of other sources of pollutant emissions, which will not be described in detail in this embodiment.
The information of a point source may include point source code, point source location, point source industry, and emissions contamination. Point source coding can be used to uniquely identify a point source as the ID of the point source. The point source location may include the longitude and latitude of the point source. The point source industry is the industry to which the point source emissions belong. The emission contaminants are the pollutant species emitted by point sources, and the emission contaminants of a point source may include one or more. The reference emissions inventory data also includes reference emissions of the point sources, which may include emissions of each of the emissions pollutants. The reference discharge amount has a time resolution, and the reference discharge amount may include, for example, an hourly discharge amount, a daily discharge amount, and the like, and the time resolution of the reference discharge amount is not limited in this embodiment.
The information of a point source may also include the type of point source, the height of the point source, etc. The information of the point sources can be used to create a spatiotemporal distribution of pollutant emissions.
In this embodiment, the user interface includes a point source of the target area. The point source may be an interactive graphical interface element in the user interface.
In some implementations, the user interface can include a map of the target area, and the point sources can be displayed at respective locations on the map based on the point source locations of the point sources. Illustratively, the map of the target area is draggable and zoomable.
In some implementations, the user interface can display all point sources of the target area. In some embodiments, point sources meeting the screening criteria may be displayed based on the screening criteria. The screening conditions may include one or any combination of point source baseline emissions, point source industry, emissions pollutants. Illustratively, the screening conditions may be set by the user on the user interface. For example, a point source may be displayed where the amount of emission of a certain contaminant is greater than a preset value. Illustratively, the screening conditions may be formed by other configuration constraints.
Step S104, generating point source emission reduction data based on user operation of the point source in the user interface.
In the embodiment of the application, the user operation of the point source in the user interface is used for configuring the emission reduction scene. The emission reduction scenario can be set by emission reduction ratio, emission reduction period, emission reduction pollution discharge.
In some embodiments, the user operation in step S104 includes an operation for configuring an emission reduction ratio, and the point source emission reduction data includes a point source code of a point source, a point source position, and an emission reduction ratio.
In some embodiments, the user operation in step S104 may further include an operation for configuring an emission reduction period, and the point source emission reduction data further includes an emission reduction period of the point source, and an emission reduction ratio corresponding to the emission reduction period.
In some embodiments, the user operation in step S104 further includes an operation for configuring emission reduction contaminants, and the point source emission reduction data further includes point source emission reduction contaminants and emission reduction ratios corresponding to the emission reduction contaminants.
In this embodiment, the emission reduction ratio may be for pollutants and/or time periods. Different pollutants can be reduced in emission in different time periods, and different emission reduction ratios are set. The embodiment is not limited to a specific arrangement.
For example, the point source emission reduction data corresponding to one point source may include a point source code, a point source position, and an emission reduction ratio of the point source. In some examples, if only the emission reduction ratio is configured, emission reduction is performed for the full period of time and for all pollutants by default, but is not limited thereto.
For example, the point source emission reduction data corresponding to one point source may include a point source code of the point source, a point source position, an emission reduction period, and an emission reduction ratio corresponding to the emission reduction period. In some examples, if only the emission reduction ratio and the emission reduction period are configured, emission reduction is performed on all pollutants by default, but is not limited thereto.
For example, the point source emission reduction data corresponding to one point source may include a point source code of the point source, a point source position, emission reduction contaminants, and emission reduction ratios corresponding to emission reduction contaminants. In some examples, if only the emission reduction ratio and emission reduction exhaust are configured, emission reduction is performed for all periods by default, but is not limited thereto.
For example, the emission reduction data of the point source corresponding to one point source may include a point source code of the point source, a point source position, an emission reduction period, and emission reduction emissions and emission reduction proportions corresponding to the emission reduction period.
In some embodiments, the point sources may be screened in a user interface, and screening conditions for screening the point sources may include one or any combination of baseline emissions of the point sources, point source industry, emissions pollutants. And responding to the screening conditions set by the user, and updating the point sources displayed in the user interface to enable the displayed point sources to be point sources conforming to the screening conditions.
For example, as shown in FIG. 2, an exemplary user interface may include a map display area 200, the map display area 200 including a map 230 of a target area, and point sources 210 displayed at respective locations on the map 230. Map 230 may be moved, zoomed out, zoomed in, e.g., by a movement operation through movement control 240 to update the range displayed by map 230 based on the movement operation; a zoom operation is performed by the zoom control 250 to zoom in or out of the map 230 based on the zoom operation. After the map 230 is moved, zoomed out, zoomed in, the point sources 210 displayed at the corresponding locations on the map 230 are updated accordingly.
As shown in fig. 2, when a user operates to select one of the point sources 210, a configuration window 220 of the point source 210 is displayed, and an emission reduction scenario may be configured in the configuration window 220, which may include emission reduction of pollutants, emission reduction ratio, and emission reduction period. The emission abatement pollutant is shown in fig. 2 as SO 2 In practice, in the configuration window 220, a plurality of emission reduction ratios and emission reduction periods of emission reduction pollutants may be configured for the case where the emission reduction ratio is 50% and the emission reduction period is 13:00 to 18:00, which will not be described in detail in this specification.
As shown in fig. 2, the user interface also includes a toolbar display area 300. The toolbar display area 300 may display an area control 310, through which an area control 310 a target area may be selected. Toolbar display area 300 may display filter control 320, and filter conditions may be set by filter control 320, displayed at corresponding locations on map 230May be determined based on the screening conditions. The screening conditions may include one or any combination of reference emissions from point sources, point source industry, emissions of pollutants, for example, a display SO may be provided 2 Point sources with reference emissions greater than X.
It should be understood that fig. 2 is merely an exemplary illustration of a user interface, and the present embodiment is not limited to the user interface shown in fig. 2, and those skilled in the art may set a wide variety of user interfaces based on the configuration purpose of the present embodiment, which is not limited thereto.
And step S106, generating an emission reduction file at least based on the point source emission reduction data and the reference emission list data, wherein the emission reduction file is used as an input of the air quality mode.
In some embodiments, as shown in fig. 3, generating the emission reduction file based at least on the point source emission reduction data and the reference emission manifest data may include steps S302 through S306.
Step S302, matching the point source and the information of the point source in the reference emission inventory data to the grid cell based on the position information of the point source and the position information of the grid cell in the reference emission inventory data.
Illustratively, the point source and the information of the point source in the reference emissions inventory data are matched to the grid cell based on the longitude and latitude of the point source and the longitude and latitude of the grid cell.
Step S304, for the point sources in the point source emission reduction data, determining a grid cell to which the point source belongs based on the point source position of the point source and the position information of the grid cell, determining the reference emission quantity, emission reduction dye, emission reduction proportion and emission reduction period of the point source in the grid cell to which the point source belongs based on the point source code of the point source, determining the emission reduction emission quantity of each emission reduction period based on the reference emission quantity, emission reduction dye, emission reduction proportion and emission reduction period of the point source, and adjusting the reference emission quantity of the point source at the corresponding position in the grid cell to the emission reduction emission quantity based on the point source position of the point source to obtain an intermediate file of the emission quantity of the point source after emission reduction.
In step S302, the points in the reference emission list data are associated with the grid cells, that is, a correspondence relationship between the grid cells and the point sources is established, that is, the grid cells to which the point sources belong, and the point sources included in one grid cell are determined. In step S304, for the point sources in the emission reduction data of the point sources, based on the point source codes of the point sources, searching the grid cells to which the point sources belong for the point sources, so as to obtain the information of the reference emission quantity and the like of the point sources determined in step S302, thereby obtaining the reference emission quantity, the emission reduction dye, the emission reduction proportion and the emission reduction period of the point sources.
And step S306, generating an emission reduction file at least based on the point source emission amount intermediate file after emission reduction.
The emission-reduced point source emission amount intermediate file comprises emission amounts of corresponding positions of point sources in the grid unit, wherein the emission amount of the point sources without emission reduction is a reference emission amount, and the emission amount of the point sources after emission reduction is an emission amount after emission reduction.
In some embodiments, the air quality mode used in the simulation may be selected, and the generating the emission reduction file based on the point source emission amount intermediate file after emission reduction may include: and performing species distribution according to the adopted air quality mode and a chemical mechanism thereof to generate an emission reduction file at least based on the point source emission intermediate file after emission reduction. For example, the air quality mode employed by the simulation may be user configurable.
Other sources of pollutant emissions are also considered in making the emissions abatement measures evaluation. And on the basis of the point source emission intermediate file after emission reduction, other pollutant emission sources such as a surface source and the like are also overlapped, so that the emission reduction file comprises more comprehensive emission pollution sources.
Step S108, simulating the concentration of the atmospheric pollutants based on the emission reduction file by using the air quality mode to evaluate the emission reduction effect.
In this embodiment, the air quality mode may perform air quality simulation based on the gas image field and the emission file (for example, the emission reduction file in the present specification), to obtain the atmospheric pollutant concentration corresponding to the emission file. The air quality mode may include, but is not limited to AERMOD, CALPUFF, NAQPMS, CMAQ, CAMx, etc. The AERMOD model and the CALPUFF model can be used for simulating medium-small scale environmental problems, are commonly used in environmental impact evaluation, and can simulate complex physical and chemical processes among large-scale multi-pollutants by using third-generation air quality models such as CMAQ and the like, and can be used for environmental research and decision.
In this embodiment, the emission reduction files of the emission reduction settings may be formed through the steps S102 to S104, and the air quality mode is used to simulate the atmospheric pollutant concentrations based on the emission reduction files of the emission reduction settings, respectively, through step S108, so as to obtain the atmospheric pollutant concentrations under the emission reduction settings. The plurality of emission abatement settings may include one or any combination of setting different point sources, setting different emission abatement proportions, different emission abatement periods, different emission abatement pollutants, and the like.
After the air quality mode is used to simulate the atmospheric pollutant concentration based on the emission reduction file, a method in the related art may be adopted to process the simulated atmospheric pollutant concentration, for example, the data is visualized for analysis by a user, which is not described in detail in this embodiment.
Fig. 4 illustrates a schematic diagram of an example system in which various methods described herein may be implemented, as shown in fig. 4, a client 410, a front-end server 420, and a back-end server 430, according to an example embodiment of the present disclosure. It should be understood that the front-end server 420 and the simulation server 430 may be the same server, which is not limited in this embodiment.
Client 410 may include, but is not limited to, a smart phone, tablet, notebook, desktop, smart watch, smart voice interaction device, smart appliance, etc. Client 410 may include a web browser or application that communicates with front-end server 420. The web browser or application may display the user interfaces mentioned above in this specification.
The front-end server 420 and the back-end server 430 may be independent physical servers, may be a server cluster or a distributed system formed by a plurality of physical servers, and may also be cloud servers for providing cloud services, cloud databases, cloud computing (cloud computing), cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs (Content Delivery Network, content delivery networks), and basic cloud computing services such as big data and artificial intelligence platforms, and the like.
The back-end server 430 is communicatively coupled to the front-end server 420. The backend server 430 deploys: interactive interface, station and integrated mode in scene simulation technology. In addition, the system also comprises a basic database and a front-end database. The interactive interface may include a plurality of HTTP service interfaces and the front-end server 420 may invoke one or more HTTP service interfaces. And the station user performs scene simulation task scheduling in the scene simulation technology. The integrated modes include a meteorological mode, an emission treatment module, one or more air quality modes. The base database includes benchmark emissions inventory data, weather background field data, and the like.
An exemplary embodiment of a more detailed emissions abatement measure evaluation method is described below in conjunction with the system shown in fig. 4.
And in combination with the illustration of fig. 4, the manufacturing of the emission reduction file is automated, the emission reduction precision is improved to the precision control of the point source, the dynamic precision control simulation of the point source can be supported, the concentration of various atmospheric pollutants under different emission reduction situations is predicted, and compared with the target concentration, the improvement effect of different emission reduction schemes on the air quality is analyzed, so that the efficiency and the precision of the control scheme formulation are improved.
The client 410 interacts with the front-end server 420 to customize the emission reduction scheme. In this embodiment, the emission abatement scheme includes the control of the point source, i.e., the abatement of the pollutant emissions from the point source. As shown in fig. 4, the front-end server 420 may access a base database, and display a user interface on the client 410 based on the baseline emissions inventory data in the base database, the user interface including a point source of the target area. The user interface may include a map of the target area, and the point sources may be displayed at respective locations on the map based on the point source locations of the point sources. Illustratively, the map of the target area is draggable and zoomable. In some implementations, the user interface can display all point sources of the target area. In some embodiments, point sources meeting the screening criteria may be displayed based on the screening criteria. The screening conditions may include one or any combination of point source baseline emissions, point source industry, emissions pollutants. Illustratively, the screening conditions may be set by the user on the user interface. For example, a point source may be displayed where the amount of emission of a certain contaminant is greater than a preset value.
The user may perform operations on the user interface including, but not limited to: an operation for configuring an emission reduction ratio, an operation for configuring an emission reduction period, an operation for configuring emission reduction pollutants. The client 410 generates point source emission reduction data in response to user operations. The point source emission reduction data may include emission reduction settings for one or more point sources. For example, the point source emission reduction data corresponding to one point source may include a point source code, a point source position, and an emission reduction ratio of the point source; for example, the emission reduction data of the point source corresponding to the point source may further include an emission reduction period of the point source and an emission reduction ratio corresponding to the emission reduction period; for example, the emission reduction data of the point source corresponding to the point source may further include emission reduction pollutants of the point source and emission reduction proportions corresponding to the emission reduction pollutants. The client 410 sends the point source emissions reduction data and other parameters (e.g., simulation period, employed air quality mode, etc.) required for the atmospheric pollution scenario simulation to the front-end server 420.
The front-end server 420 receives the point source emission reduction data and other parameters required for the atmospheric pollution scenario simulation sent by the client 410. The front-end server 420 communicates this information to the back-end server 430 via the interactive interface and submits the scenario simulation tasks.
The back-end server 430 receives the parameters submitted by the front-end server 420 and initiates a series of scenario simulation tasks.
The back-end server 430 processes the emission reduction scheme parameters transmitted from the front-end server 420, generates an emission control file required by the emission processing module for emission reduction processing, provides point source codes, point source positions (longitude and latitude), emission reduction time periods (precision is per hour), emission reduction pollutants, corresponding emission reduction proportion and the like, and inputs the control file and the adopted air quality mode transmitted from the front end to the emission processing module. The emission processing module generates a corresponding emission reduction file, and the processing algorithm of the emission processing module is as follows:
(1) Acquiring longitude and latitude information of each simulation grid unit according to simulation area grid setting, and matching all point sources and various related information (such as point source codes, point source positions, point source industries, point source heights, emission pollutant species and the like) thereof in an original emission list within the simulation grid range into the corresponding grid unit through the longitude and latitude information;
(2) Dynamically reading point source position information in an emission control file, matching the position information to a nearest grid unit, and accurately matching emission reduction pollutants and corresponding emission reduction proportions of the point source with corresponding emission amounts of the point source in an original manifest file through point source coding;
(3) Further confirm the moment of emission reduction according to the control scheme (resolution is 1 hour);
(4) Generating emission reduction emission of each emission reduction moment, inserting the emission reduction emission into a grid to which the point source belongs through position information, and generating an intermediate file of the emission reduction emission of the point source;
(5) Superimposed with the emission of the non-point source, and species distribution is carried out according to the adopted air quality mode and the chemical mechanism thereof, so as to generate a final emission reduction file.
The meteorological mode (such as WRF) reads the related parameters transmitted from the front end to simulate the meteorological field.
Based on the gas image field and the emission reduction file, the air quality mode (such as CMAQ, CAMx and the like) reads relevant parameters (such as case name, simulation start time, simulation duration and the like) of the scene simulation scheme to perform air quality simulation, and predicts the concentration of atmospheric pollutants in each emission reduction scene.
In the running process, the running states of all modules are simulated by the real-time monitoring scene through the interactive interface. Through the interactive interface, the running state (running, running error or running completion, etc.) of each mode can be obtained in fact, and after the running is finished, the intermediate data can be deleted by the self definition of the front-end parameters, so that the storage space is saved. The client 210 may display the operating state and control the diaphragm-type operating state.
After the back-end server 430 has obtained the simulation of the atmospheric contaminant concentration, the atmospheric contaminant concentration may be stored in a front-end database. The front-end server 420 reads the simulated atmospheric contaminant concentration from the front-end database, visualizes the atmospheric contaminant concentration, and may be displayed by the client 410.
For example, a three-layer nested simulation may be employed, wherein the first layer is a first region (resolution of 27km×27 km), the second layer is a first sub-region and a surrounding region of the first region (resolution of 9km×9 km), and the third layer is a sub-region and a surrounding region of the first sub-region (resolution of 3km×3 km). The simulation period can be a pollution process from 29 days of 8 months of 2022 to 1 day of 9 months, and two situations of base (base) and control (case) are set. The spatial distribution of concentration differences between different emission reduction schemes and reference emissions at different time periods is analyzed.
In the embodiment, an interactive interface is constructed, a meteorological mode, an automatic multi-mode emission processing module and an air quality mode are integrated, and complete automatic atmospheric pollution scene simulation is realized; the front-end parameter setting is simple and easy to understand, and the complexity of the simulation work of the atmospheric pollution scene is reduced; the timeliness of screening and formulating the control scheme is improved by automatic treatment; the emission reduction scheme is spatially refined to point source control, can be dynamically adjusted, is accurate in time to 1 hour, and can selectively reduce one or more pollutants; is compatible with multiple air quality modes.
The embodiment of the disclosure also provides an emission abatement measure evaluation device, as shown in fig. 5, the emission abatement measure evaluation device 500 includes: a display module 510 for displaying a user interface based on reference emission inventory data of a target area, wherein the user interface includes a point source of the target area, the reference emission inventory data includes information of the point source, and one of the information of the point source includes a point source code, a point source position, and an emission pollutant; a generating module 520, configured to generate point source emission reduction data based on a user operation on a point source in a user interface, where the user operation includes an operation for configuring an emission reduction ratio, and the point source emission reduction data includes a point source code, a point source position, and an emission reduction ratio of the point source; the generating module 520 is further configured to generate an emission reduction file based at least on the point source emission reduction data and the reference emission list data, where the emission reduction file is used as an input for the air quality mode; the simulation module 530 is configured to simulate an atmospheric pollutant concentration based on the emission reduction file using the air quality model to evaluate the emission reduction effect.
In some embodiments, the above-mentioned user operations further include an operation for configuring an emission reduction period, and the point source emission reduction data includes an emission reduction period of the point source and an emission reduction ratio corresponding to the emission reduction period.
In some embodiments, the user operations further include an operation for configuring emission reduction pollutants, and the point source emission reduction data includes emission reduction pollutants of the point source and emission reduction ratios corresponding to the emission reduction pollutants.
As an embodiment, the generating module 520 may be configured to: matching the point source in the reference emission inventory data and the information of the point source to the grid cell based on the position information of the point source in the reference emission inventory data and the position information of the grid cell; for a point source in the point source emission reduction data, determining a grid unit to which the point source belongs based on the point source position of the point source and the position information of the grid unit, determining the reference emission amount, emission reduction pollutant, emission reduction proportion and emission reduction time period of the point source in the grid unit to which the point source belongs based on the point source code of the point source, determining the emission reduction post-emission amount of each emission reduction time period based on the reference emission amount, emission reduction pollutant, emission reduction proportion and emission reduction time period of the point source, and adjusting the reference emission amount of the point source at the corresponding position in the grid unit to the emission reduction post-emission amount based on the point source position of the point source to obtain an intermediate file of the emission reduction post-point source emission amount; and generating an emission reduction file at least based on the point source emission amount intermediate file after emission reduction.
As an embodiment, the generating module 520 may be configured to: and performing species distribution according to the adopted air quality mode and a chemical mechanism thereof to generate an emission reduction file at least based on the point source emission intermediate file after emission reduction.
The exemplary embodiments of the present disclosure also provide 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 embodiments of the present disclosure when executed by the at least one processor.
The present disclosure also provides 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 disclosure.
The present disclosure also provides a computer program product comprising 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 embodiments of the disclosure.
Referring to fig. 6, a block diagram of an electronic device 600 that may be a server or a client of the present disclosure, which is an example of a hardware device that may be applied to aspects of the present disclosure, will now be described. 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 disclosure 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 emissions abatement measure evaluation method 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 emission abatement measure evaluation method by any other suitable means (e.g., by means of firmware).
Program code for carrying out methods of the present disclosure 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 this disclosure, 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 in this disclosure, 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 (9)
1. An emission abatement measure evaluation method, comprising:
Displaying a user interface based on reference emission inventory data of a target area, wherein the user interface comprises a point source of the target area, the reference emission inventory data comprises information of the point source, and the information of one point source comprises point source codes, point source positions and emission pollutants;
generating point source emission reduction data based on user operations on point sources in the user interface, wherein the user operations comprise operations for configuring emission reduction proportions, and the point source emission reduction data comprises point source codes, point source positions and emission reduction proportions of the point sources;
generating an emissions reduction file based at least on the point source emissions reduction data and the reference emissions manifest data, comprising: matching the point source and the information of the point source in the reference emission list data to a grid cell based on the position information of the point source and the position information of the grid cell in the reference emission list data; for the point source in the point source emission reduction data, determining a grid unit to which the point source belongs based on the point source position of the point source and the position information of the grid unit, determining the reference emission amount, emission reduction pollutants, emission reduction proportion and emission reduction time period of the point source in the grid unit to which the point source belongs based on the point source code of the point source, determining the emission reduction post-emission amount of each emission reduction time period based on the reference emission amount, emission reduction pollutants, emission reduction proportion and emission reduction time period of the point source, and adjusting the reference emission amount of the point source at the corresponding position in the grid unit to the emission reduction post-emission amount based on the point source position of the point source to obtain an intermediate file of the emission reduction point source emission amount; generating an emission reduction file at least based on the point source emission intermediate file after emission reduction; the emission reduction file is used as an input of an air quality mode;
And simulating the concentration of the atmospheric pollutants based on the emission reduction file by using the air quality mode so as to evaluate the emission reduction effect.
2. The emission abatement measure evaluation method of claim 1, wherein the user operation further comprises an operation for configuring an emission abatement period, the point source emission abatement data further comprising an emission abatement period of a point source, and the emission abatement ratio corresponding to the emission abatement period.
3. The emission abatement measure evaluation method of claim 1, wherein the user operation further comprises an operation for configuring emission abatement pollutants, and the point source emission abatement data further comprises point source emission abatement pollutants and emission abatement ratios corresponding to the emission abatement pollutants.
4. The emission abatement measure evaluation method of claim 1, wherein the generating an emission abatement file based on the point source emission intermediate file after emission abatement comprises:
and performing species distribution according to the adopted air quality mode and a chemical mechanism thereof at least based on the point source emission intermediate file after emission reduction, and generating an emission reduction file.
5. An emission abatement measure evaluation device, comprising:
a display module for displaying a user interface based on reference emission list data of a target area, wherein the user interface includes a point source of the target area, the reference emission list data includes information of the point source, and the information of one point source includes a point source code, a point source position, and emission pollutants;
The generation module is used for generating point source emission reduction data based on user operation of the point source in the user interface, wherein the user operation comprises operation for configuring an emission reduction ratio, and the point source emission reduction data comprises point source coding, point source position and emission reduction ratio of the point source;
the generating module is further configured to generate an emission reduction file based at least on the point source emission reduction data and the reference emission list data, and includes: matching the point source and the information of the point source in the reference emission list data to a grid cell based on the position information of the point source and the position information of the grid cell in the reference emission list data; for the point source in the point source emission reduction data, determining a grid unit to which the point source belongs based on the point source position of the point source and the position information of the grid unit, determining the reference emission amount, emission reduction pollutants, emission reduction proportion and emission reduction time period of the point source in the grid unit to which the point source belongs based on the point source code of the point source, determining the emission reduction post-emission amount of each emission reduction time period based on the reference emission amount, emission reduction pollutants, emission reduction proportion and emission reduction time period of the point source, and adjusting the reference emission amount of the point source at the corresponding position in the grid unit to the emission reduction post-emission amount based on the point source position of the point source to obtain an intermediate file of the emission reduction point source emission amount; generating an emission reduction file at least based on the point source emission intermediate file after emission reduction; the emission reduction file is used as an input of an air quality mode;
And the simulation module is used for simulating the concentration of the atmospheric pollutants based on the emission reduction file by using the air quality mode so as to evaluate the emission reduction effect.
6. The emission abatement measure evaluation device of claim 5, wherein the user operation further comprises an operation for configuring an emission abatement period, the point source emission abatement data further comprising an emission abatement period of a point source, and the emission abatement ratio corresponding to the emission abatement period.
7. The emission abatement measure evaluation device of claim 5, wherein the user operation further comprises an operation for configuring emission abatement pollutants, and wherein the point source emission abatement data further comprises point source emission abatement pollutants and emission abatement ratios corresponding to the emission abatement pollutants.
8. The emission abatement measure evaluation device of claim 5, wherein the generation module for generating an emission abatement file based on the reduced point source emission intermediate file comprises: and performing species distribution according to the adopted air quality mode and a chemical mechanism thereof at least based on the point source emission intermediate file after emission reduction, and generating an emission reduction file.
9. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-4.
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