CN111882205A - Air quality standard-reaching analysis method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application provides an air quality standard-reaching analysis method, an air quality standard-reaching analysis device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring annual meteorological data, a discharge list of a reference year, an air quality target and planning measure information corresponding to the air quality target in preset years of a target area; generating a climate average field according to annual meteorological data in a preset number of years; simulating the pollutant concentration of a target year according to the climate average field, planning measure information and an emission list of a reference year; it is determined whether the pollutant concentration for the target year meets the air quality target. According to the method, the climate average field is used as the climate background field of the target year to simulate the pollutant concentration of the target year, the climate average field balances the annual difference of the weather, the accuracy of the simulated pollutant concentration of the target year is improved, the influence of weather factors on the accessibility of the air quality target is weakened, and the accuracy of the accessibility analysis of the air quality target is higher.
Description
Technical Field
The application belongs to the technical field of environmental protection, and particularly relates to an air quality standard-reaching analysis method and device, electronic equipment and a storage medium.
Background
In order to continuously improve the quality of the atmospheric environment, air quality targets and planning measures to be taken to achieve these targets are usually planned for cities. In order to ensure that the designed air quality target can be achieved by implementing the designed planning measures, accessibility analysis of the designed air quality target is required.
Numerical modes such as a nested grid air quality prediction mode (NAQPMS) and the like comprehensively consider the processes of advection, diffusion, dry-wet sedimentation, chemical conversion and the like of air pollutants in the atmosphere, can study the occurrence mechanism and the change rule of the problems of air quality and the like in urban dimensions, and provides scientific reference suggestions for the formulation of air quality planning measures. At present, in the related technology, one year is selected as a reference year, planning is carried out on the basis of an emission list of the reference year, a measure for meeting the air quality standard of a target year is formulated, and a weather ambient field of the reference year is used as a weather ambient field of the target year for simulation so as to evaluate the target accessibility of the air quality.
However, the annual difference of the meteorological conditions is very large, the meteorological background field of the reference year is used as the meteorological background field of the target year for simulation, the simulation result is greatly influenced by the meteorological background field of the reference year, and the accuracy is low.
Disclosure of Invention
The application provides an air quality standard-reaching analysis method, device, electronic equipment and storage medium, a climate mean field is obtained based on meteorological data of the past years, the climate mean field is used as a climate background field of a target year to simulate the pollutant concentration of the target year, the influence of meteorological factors in evaluating the accessibility of an air quality target is weakened, and the accuracy of air quality target accessibility analysis is higher.
The embodiment of the first aspect of the application provides an air quality standard-reaching analysis method, which comprises the following steps of;
acquiring annual meteorological data, a discharge list of a reference year, an air quality target and planning measure information corresponding to the air quality target in preset years of a target area;
generating a climate average field according to the meteorological data of each year in the preset number of years;
simulating the pollutant concentration of a target year according to the climate average field, the planning measure information and the emission list of the reference year;
determining whether the pollutant concentration for the target year meets the air quality target.
In an embodiment of the present application, the generating a climate average field according to the meteorological data of each year in the preset number of years includes:
according to the meteorological data of each year in the preset years, respectively simulating the annual climate ambient fields through a preset meteorological mode;
and calculating to obtain a climate average field according to the annual climate background field.
In an embodiment of the present application, the simulating a pollutant concentration of a target year according to the climate mean field, the planning measure information and the emission list of the reference year includes:
generating an emission list of a target year according to the planning measure information and the emission list of the reference year;
and simulating the pollutant concentration of the target year through a preset air quality mode by taking the climate average field as a climate background field of the target year according to the emission list of the target year.
In an embodiment of the present application, the generating an emission list of a target year according to the planning measure information and the emission list of the reference year includes:
determining the reduction amount corresponding to each pollutant in the target year according to the planning measure information;
and calculating the emission list of the target year according to the reduction amount corresponding to each pollutant and the emission list of the reference year.
In an embodiment of the present application, before determining whether the pollutant concentration of the target year reaches the air quality target, the method further includes:
acquiring meteorological data of the reference year and actual pollutant concentration of the reference year;
obtaining a concentration adjustment coefficient according to the meteorological data of the reference year, the actually measured pollutant concentration and the emission list of the reference year;
and correcting the pollutant concentration of the target year according to the concentration adjustment coefficient.
In an embodiment of the present application, the obtaining a concentration adjustment factor according to the meteorological data of the reference year, the measured pollutant concentration, and the emission list of the reference year includes:
simulating a meteorological background field of the reference year through a preset meteorological model according to the meteorological data of the reference year;
according to the meteorological background field of the reference year and the emission list of the reference year, simulating to obtain the pollutant simulated concentration of the reference year through a preset air quality mode;
and calculating a concentration adjustment coefficient according to the actual pollutant concentration and the simulated pollutant concentration of the reference year.
In an embodiment of the present application, the method further includes:
and if the pollutant concentration of the target year is determined not to reach the air quality target, adjusting the planning measure information according to the air quality target, the climate mean field and the emission list of the reference year.
Embodiments of a second aspect of the present application provide an air quality compliance analysis device, the device comprising;
the acquisition module is used for acquiring annual meteorological data in preset years of a target area, an emission list of a reference year, an air quality target and planning measure information corresponding to the air quality target;
the generating module is used for generating a climate average field according to the meteorological data of each year in the preset years;
the simulation module is used for simulating the pollutant concentration of a target year according to the climate average field, the planning measure information and the emission list of the reference year;
a determination module to determine whether the pollutant concentration for the target year meets the air quality target.
Embodiments of the third aspect of the present application provide an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method of the first aspect.
An embodiment of a fourth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, the program being executable by a processor to implement the method of the first aspect.
The technical scheme provided in the embodiment of the application at least has the following technical effects or advantages:
the embodiment of the application obtains the weather mean field based on the meteorological data of the past years, the weather mean field is used as the weather background field of the target year to simulate the pollutant concentration of the target year, the weather mean field balances the annual difference of the weather, the degree of influence of the pollutant concentration of the target year by the meteorological factors is reduced, and the accuracy of the simulated pollutant concentration of the target year is improved, so that the influence of the meteorological factors in evaluating the accessibility of the air quality target is weakened, and the accuracy of the accessibility analysis of the air quality target is higher.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flow chart illustrating an air quality compliance analysis method according to an embodiment of the present application;
fig. 2 is another flow chart of an air quality compliance analysis method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram illustrating an air quality compliance analysis apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 5 is a schematic diagram of a storage medium provided in an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which this application belongs.
An air quality standard-meeting analysis method, an air quality standard-meeting analysis device, an electronic apparatus, and a storage medium according to embodiments of the present application are described below with reference to the accompanying drawings.
The embodiment of the application provides an air quality standard-reaching analysis method, which is characterized in that a climate mean field is obtained based on meteorological data of preset years, the climate mean field is used as a climate background field of a target year to simulate the pollutant concentration of the target year, the degree of influence of the pollutant concentration of the target year by meteorological factors is reduced, and the accuracy of the simulated pollutant concentration of the target year is improved, so that the influence of the meteorological factors in evaluating the accessibility of an air quality target is weakened, and the accuracy of the air quality target accessibility analysis is higher.
Referring to fig. 1, the method specifically includes the following steps;
step 101: acquiring annual meteorological data, a discharge list of a reference year, an air quality target and planning measure information corresponding to the air quality target in preset years of a target area.
The target area may be a city, a combined area composed of one or more provinces, etc., for example, the target area may be beijing city, hebeibei province or beijing jin Ji area, etc. The method and the device for acquiring the meteorological data of the target area in the preset years are used for acquiring the meteorological data of the target area in the preset years, wherein the preset years can be any value between the last 10 years and the last 30 years, for example, the preset years can be 10 years, 20 years or 30 years. The meteorological data for a target area for a year may include temperature, humidity, pressure, wind speed, etc. data for the target area for each hour of the year. Global GFS (Global Forecast System) data includes meteorological data of any region around the world, and the Global GFS data may be used to intercept the annual GFS data of a target area in a predetermined number of years as the meteorological data of each year.
The emission list includes the hourly emissions of different pollutants from different emission sources within the target area. The pollution sources include industrial sources, mobile sources, dust sources and the like, the industrial sources can be further subdivided into specific factories, and data such as the name, the position, the chimney height and the like of each factory are recorded in an emission list. The dust sources can be further subdivided into specific construction sites or bare floors, and the like, and the data of names, positions and the like of the dust sources such as the construction sites or the bare floors are recorded in the emission list. The pollutants comprise ozone and PM2.5、PM10Nitrogen oxides, sulfur oxides, carbon monoxide, and the like.
The air quality target specifies the pollutant concentration of a target year to be achieved after various planning measures included in the planning measure information are taken from the reference year to the target year, and the pollutant concentration of the target year can be the hourly concentration of various pollutants of the target year or the average concentration of various pollutants in the target year. The planning measure information includes planning measures to achieve air quality goals, including planning measures to remediate various pollution sources. For example, planning a mobile source may include taking a single or double number restriction on a motor vehicle, planning an industrial source may include reducing the number of days of production in a plant, and the like.
Step 102: and generating a climate average field according to the meteorological data of each year in the preset number of years.
And respectively simulating the weather ambient fields of each year through a preset weather mode according to the weather data of each year in the preset number of years. The preset Weather mode can be MM5 (fifth generation mesoscale mode), WRF (Weather Research and Weather forecasting Model), etc. The meteorological background field of the target area in a certain year is three-dimensional hourly meteorological field data of the target area in the year, namely after the three-dimensional space of the target area is subjected to grid division, the meteorological background field comprises meteorological data such as temperature, humidity, pressure, wind speed and the like in each grid of the year every hour.
And calculating to obtain a climate average field according to the climate background field every year in the preset number of years. Specifically, for each physical quantity such as temperature, humidity, pressure, wind speed and the like, the value of the same physical quantity is respectively taken out from the climate background field every year, the average value of the values of the same physical quantity every year is calculated, and the average values corresponding to all the physical quantities are combined into the climate average field.
The climate averaging field is formed by averaging a multi-year climate background field, annual difference of weather is balanced by averaging, and subsequent air quality target accessibility analysis is performed through the climate averaging field, so that influence of weather factors can be reduced, and accuracy of target accessibility analysis is improved.
Step 103: and simulating the pollutant concentration of the target year according to the climate average field, the planning measure information and the emission list of the reference year.
And generating an emission list of the target year according to the planning measure information and the emission list of the reference year. Specifically, the reduction amount corresponding to each pollutant in the target year is determined according to planning measure information. The planning measure information includes planning measures for various pollution sources. Plan for these measuresAnd performing analysis, determining the pollution source aimed at by each planning measure, and determining the reduction amount of each pollutant in the pollution source aimed at by each planning measure. For example, if the planning measure is "take a single or double number restriction measure for a motor vehicle", the pollution source targeted by the planning measure can be determined as a mobile source, the planning measure can reduce the emission of each pollutant of the mobile source by half, and if the PM of the mobile source in a reference year is adopted2.5If the discharge amount of the PM is 4 tons, the PM of the source is moved after a single-number and double-number restriction measure is adopted2.5The reduction amount of (2) tons.
And calculating the emission list of the target year according to the reduction amount corresponding to each pollutant and the emission list of the reference year. And calculating the emission amount corresponding to each pollutant in the target year which can be realized by the planning measures according to the reduction amount corresponding to each pollutant and the emission amount corresponding to each pollutant included in the emission list of the reference year. For the same pollutant, the emission amount of the pollutant in the emission list of the reference year is subtracted by the reduction amount corresponding to the pollutant formed by the planning measures, and the calculated difference is the emission amount corresponding to the pollutant after the planning measures are taken. For any pollutant, the discharge amount after the planning measure is taken is calculated by the method. And the discharge amount after the planning measures are taken is the discharge amount in the target year. And determining the discharge amount corresponding to each pollutant in the target year as a discharge list of the target year.
After the emission list of the target year is established in the above manner, according to the emission list of the target year, the climate average field is used as the climate background field of the target year, and the pollutant concentration of the target year is simulated through the preset air quality mode. Specifically, an emission list of a target year is input through a preset emission source processing system, a climate average field is used as a climate background field of the target year, and a preset air quality mode is operated to simulate the pollutant concentration of the target year.
The preset emission source processing system can be a smile model or a custom-written script program for processing the emission source and the like. The preset Air Quality mode may be NAQPMS (Nested Air Quality prediction mode), CAMx (atmospheric chemical transport mode), CMAQ (collective Multiscale Air Quality prediction System), or the like.
Step 104: it is determined whether the pollutant concentration for the target year meets the air quality target.
After simulating the pollutant concentration of the target year through step 103, comparing the pollutant concentration of the target year with the pollutant concentration required to be achieved by the air quality target regulation, if the pollutant concentration of the target year is less than or equal to the pollutant concentration required to be achieved by the air quality target regulation, determining that the pollutant concentration of the target year achieves the air quality target, otherwise, determining that the pollutant concentration of the target year does not achieve the air quality target.
Specifically, in the process of comparing the pollutant concentration of the target year with the pollutant concentration required to be achieved by the air quality target specification, whether the pollutant concentration corresponding to any pollutant reaches the pollutant concentration specified by the air quality target specification or not can be respectively compared, for example, the simulated PM of the target year can be compared2.5Whether the concentration of (b) has reached the PM specified by the air quality target2.5Concentration, comparison of modeled PM for target year10Whether the concentration of (b) has reached the PM specified by the air quality target10And (4) concentration.
Because there is inevitably certain error in the process of simulating the pollutant concentration of the target year in the preset air quality mode, in order to improve the accuracy of the pollutant concentration of the target year, as shown in fig. 2, the embodiment of the application can also correct the simulated pollutant concentration of the target year, and specifically includes:
step 105: and acquiring meteorological data of the reference year and the actually measured pollutant concentration of the reference year.
The GFS data of the target area in the benchmark year can be intercepted from the global GFS data to serve as meteorological data of the benchmark year. The measured contaminant concentrations for the baseline year may be obtained from monitoring sites located in the target area for monitoring the concentration of each contaminant.
Step 106: and obtaining a concentration adjustment coefficient according to the meteorological data of the reference year, the actually measured pollutant concentration of the reference year and the emission list of the reference year.
Firstly, according to meteorological data of a reference year, a meteorological background field of the reference year is simulated through a preset meteorological model. And simulating to obtain the pollutant simulated concentration of the reference year through a preset air quality mode according to the meteorological background field of the reference year and the emission list of the reference year. And then calculating a concentration adjustment coefficient according to the actual pollutant concentration and the simulated pollutant concentration in the reference year. Specifically, for any pollutant, the ratio between the measured pollutant concentration corresponding to the pollutant in the reference year and the simulated pollutant concentration corresponding to the pollutant is calculated, and the ratio is determined as the concentration adjustment coefficient corresponding to the pollutant.
Step 107: and correcting the pollutant concentration of the target year according to the concentration adjustment coefficient corresponding to each pollutant, and then executing the operation of step 104.
Specifically, for any pollutant, the pollutant concentration corresponding to the pollutant in the target year is obtained from the simulated pollutant concentrations in the target year, the product between the pollutant concentration corresponding to the pollutant in the target year and the concentration adjustment coefficient corresponding to the pollutant is calculated, and the product is determined as the pollutant concentration corresponding to the pollutant in the corrected target year.
By means of the method, the pollutant concentration corresponding to any pollutant in the target year is corrected, and the precision of the pollutant concentration in the final target year is higher. Step 104 is then executed to determine whether the air quality target can be achieved according to the corrected pollutant concentration of the target year, so that the accuracy of the accessibility analysis of the air quality target is greatly improved.
In the embodiment of the application, if the pollutant concentration in the target year is determined not to reach the air quality target, the planning measure information can be adjusted according to the air quality target, the climate mean field and the emission list of the reference year. Specifically, the pollutant concentration corresponding to each pollutant in the target year is compared with each pollutant concentration specified by the air quality target, so that the pollutant which does not reach the standard can be determined, and the reduction amount of the pollutant which does not reach the standard and can be achieved by the planning measure information is increased by adjusting the planning measures included in the planning measure information. After the planning measure information is adjusted, whether the air quality target can be achieved after the planning measure information is adjusted is judged according to the operation of the steps 103 and 104 according to the air quality target, the climate average field and the emission list of the reference year. The planning procedure information is continually adjusted in this manner until the final planning procedure information enables the target year's pollutant concentration to meet the air quality target.
The embodiment of the application obtains the weather mean field based on the meteorological data of the past years, the weather mean field is used as the weather background field of the target year to simulate the pollutant concentration of the target year, the weather mean field balances the annual difference of the weather, the degree of influence of the pollutant concentration of the target year by the meteorological factors is reduced, and the accuracy of the simulated pollutant concentration of the target year is improved, so that the influence of the meteorological factors in evaluating the accessibility of the air quality target is weakened, and the accuracy of the accessibility analysis of the air quality target is higher.
An embodiment of the present application provides an air quality standard-meeting analysis apparatus, which is configured to execute the air quality standard-meeting analysis method according to the foregoing embodiment, as shown in fig. 3, the apparatus includes;
the acquisition module 30 is used for acquiring meteorological data of each year in preset years of a target area, an emission list of a reference year, an air quality target and planning measure information corresponding to the air quality target;
the generating module 31 is used for generating a climate average field according to the meteorological data of each year in the preset number of years;
the simulation module 32 is used for simulating the pollutant concentration of a target year according to the climate average field, the planning measure information and the emission list of the reference year;
a determination module 33 for determining whether the concentration of pollutants for the target year meets the air quality target.
The generating module 31 is configured to respectively simulate an annual climate ambient field through a preset weather mode according to annual weather data in preset years; and calculating to obtain a climate average field according to the climate background field every year.
The simulation module 32 includes:
the generating unit is used for generating an emission list of a target year according to the planning measure information and the emission list of the reference year;
and the simulation unit is used for simulating the pollutant concentration of the target year by taking the climate average field as the climate background field of the target year according to the emission list of the target year and through a preset air quality mode.
The generation unit is used for determining the reduction amount corresponding to each pollutant in the target year according to the planning measure information; and calculating the emission list of the target year according to the reduction amount corresponding to each pollutant and the emission list of the reference year.
The device also includes: the concentration correction module is used for acquiring meteorological data of a reference year and actual pollutant concentration of the reference year; obtaining a concentration adjustment coefficient according to meteorological data of a reference year, actually measured pollutant concentration and a discharge list of the reference year; and correcting the pollutant concentration of the target year according to the concentration adjustment coefficient.
The concentration correction module is used for simulating a meteorological background field of a reference year in a preset meteorological mode according to meteorological data of the reference year; according to the meteorological background field of the reference year and the emission list of the reference year, simulating by a preset air quality mode to obtain the pollutant simulated concentration of the reference year; and calculating a concentration adjustment coefficient according to the actual pollutant concentration and the simulated pollutant concentration in the reference year.
The device also includes: and the measure adjusting module is used for adjusting the planning measure information according to the air quality target, the climate mean field and the emission list of the reference year if the pollutant concentration of the target year is determined not to reach the air quality target.
The air quality standard-reaching analysis device provided by the embodiment of the application and the air quality standard-reaching analysis method provided by the embodiment of the application have the same beneficial effects as methods adopted, operated or realized by application programs stored in the air quality standard-reaching analysis device.
The embodiment of the present application further provides an electronic device corresponding to the air quality standard-reaching analysis method provided by the foregoing embodiment, so as to execute the upper air quality standard-reaching analysis method. The embodiments of the present application are not limited.
Referring to fig. 4, a schematic diagram of an electronic device provided in some embodiments of the present application is shown. As shown in fig. 4, the electronic device 2 includes: the system comprises a processor 200, a memory 201, a bus 202 and a communication interface 203, wherein the processor 200, the communication interface 203 and the memory 201 are connected through the bus 202; the memory 201 stores a computer program that can be executed on the processor 200, and the processor 200 executes the computer program to execute the air quality compliance analysis method provided by any one of the foregoing embodiments of the present application.
The Memory 201 may include a high-speed Random Access Memory (RAM) and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 203 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
The processor 200 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 200. The Processor 200 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 201, and the processor 200 reads the information in the memory 201 and completes the steps of the method in combination with the hardware thereof.
The electronic equipment provided by the embodiment of the application and the air quality standard-reaching analysis method provided by the embodiment of the application have the same inventive concept and have the same beneficial effects as the method adopted, operated or realized by the electronic equipment.
Referring to fig. 5, the computer readable storage medium is an optical disc 30, on which a computer program (i.e., a program product) is stored, and when the computer program is executed by a processor, the computer program performs the air quality standard analysis method according to any of the foregoing embodiments.
It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory, or other optical and magnetic storage media, which are not described in detail herein.
The computer-readable storage medium provided by the above embodiments of the present application and the air quality standard-meeting analysis method provided by the embodiments of the present application have the same beneficial effects as the method adopted, operated or implemented by the application program stored in the computer-readable storage medium.
It should be noted that:
the algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose devices may be used with the teachings herein. The required structure for constructing such a device will be apparent from the description above. In addition, this application is not directed to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of the present application as described herein, and any descriptions of specific languages are provided above to disclose the best modes of the present application.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the application, various features of the application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the application and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this invention pertains. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this application.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the present application may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in the creation apparatus of a virtual machine according to embodiments of the present application. The present application may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present application may be stored on a computer readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. An air quality standard-reaching analysis method is characterized by comprising the following steps of;
acquiring annual meteorological data, a discharge list of a reference year, an air quality target and planning measure information corresponding to the air quality target in preset years of a target area;
generating a climate average field according to the meteorological data of each year in the preset number of years;
simulating the pollutant concentration of a target year according to the climate average field, the planning measure information and the emission list of the reference year;
determining whether the pollutant concentration for the target year meets the air quality target.
2. The method of claim 1, wherein said generating a climate mean field from meteorological data for each year of the predetermined number of years comprises:
according to the meteorological data of each year in the preset years, respectively simulating the annual climate ambient fields through a preset meteorological mode;
and calculating to obtain a climate average field according to the annual climate background field.
3. The method of claim 1, wherein simulating a pollutant concentration for a target year based on the climate mean field, the planned action information, and the emission list for the benchmark year comprises:
generating an emission list of a target year according to the planning measure information and the emission list of the reference year;
and simulating the pollutant concentration of the target year through a preset air quality mode by taking the climate average field as a climate background field of the target year according to the emission list of the target year.
4. The method of claim 3, wherein generating an emissions manifest for a target year based on the planning action information and the emissions manifest for the reference year comprises:
determining the reduction amount corresponding to each pollutant in the target year according to the planning measure information;
and calculating the emission list of the target year according to the reduction amount corresponding to each pollutant and the emission list of the reference year.
5. The method of claim 1, wherein prior to determining whether the pollutant concentration for the target year meets the air quality target, further comprising:
acquiring meteorological data of the reference year and actual pollutant concentration of the reference year;
obtaining a concentration adjustment coefficient according to the meteorological data of the reference year, the actually measured pollutant concentration and the emission list of the reference year;
and correcting the pollutant concentration of the target year according to the concentration adjustment coefficient.
6. The method of claim 5, wherein obtaining a concentration adjustment factor based on the meteorological data for the baseline year, the measured pollutant concentrations, and the emissions manifest for the baseline year comprises:
simulating a meteorological background field of the reference year through a preset meteorological model according to the meteorological data of the reference year;
according to the meteorological background field of the reference year and the emission list of the reference year, simulating to obtain the pollutant simulated concentration of the reference year through a preset air quality mode;
and calculating a concentration adjustment coefficient according to the actual pollutant concentration and the simulated pollutant concentration of the reference year.
7. The method according to any one of claims 1-6, further comprising:
and if the pollutant concentration of the target year is determined not to reach the air quality target, adjusting the planning measure information according to the air quality target, the climate mean field and the emission list of the reference year.
8. An air quality compliance analysis device, comprising;
the acquisition module is used for acquiring annual meteorological data in preset years of a target area, an emission list of a reference year, an air quality target and planning measure information corresponding to the air quality target;
the generating module is used for generating a climate average field according to the meteorological data of each year in the preset years;
the simulation module is used for simulating the pollutant concentration of a target year according to the climate average field, the planning measure information and the emission list of the reference year;
a determination module to determine whether the pollutant concentration for the target year meets the air quality target.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program is executed by a processor to implement the method according to any of claims 1-7.
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