CN111815178A - Air quality standard-reaching analysis method and device, electronic equipment and storage medium - Google Patents

Air quality standard-reaching analysis method and device, electronic equipment and storage medium Download PDF

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CN111815178A
CN111815178A CN202010665027.8A CN202010665027A CN111815178A CN 111815178 A CN111815178 A CN 111815178A CN 202010665027 A CN202010665027 A CN 202010665027A CN 111815178 A CN111815178 A CN 111815178A
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李亚林
秦东明
孙明生
易志安
王洋
李诗瑶
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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 topographic information of a target area, meteorological data and a first pollution emission list of the target area in a reference year and planning measure information corresponding to an air quality target; determining response relation coefficients between the annual average concentration of the preset pollutants and reduction amounts corresponding to different pollutants of each pollution source respectively according to the topographic information, the meteorological data, the planning measure information and the first pollution emission list; and judging whether the air quality target can be realized or not according to the planning measure information and the response relation coefficient. According to the method and the device, the response relation coefficient between the reduction amount corresponding to different pollutants of different pollution sources in the reference year and the target year and the annual average concentration of the preset pollutants is established, whether the air quality target can be achieved or not can be quickly determined, the repeated numerical simulation work of different years is not needed, and the manpower and material cost is greatly reduced.

Description

Air quality standard-reaching analysis method and device, electronic equipment and storage medium
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.
At present, in the related art, the air quality target is usually divided into sub-targets of multiple stages, for example, each year between a reference year and a target year in which the air quality target needs to be achieved is respectively used as a stage, whether the sub-target of each stage can be achieved is respectively evaluated by combining the pollutant emission condition of the reference year, the meteorological data of the reference year and the planning measure corresponding to each stage, and the reachability of the final air quality target is further analyzed according to the evaluation result of each stage. 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.
However, the related art needs to perform a simulation evaluation of the annual air quality accessibility between the reference year and the target year, which is very costly and consumes a lot of manpower and material resources.
Disclosure of Invention
The application provides an air quality standard-reaching analysis method, an air quality standard-reaching analysis device, electronic equipment and a storage medium, response relation coefficients between reduction amounts corresponding to different pollutants of different pollution sources and annual average concentrations of preset pollutants are established between a reference year and a target year, whether an air quality target can be achieved can be quickly determined, repeated numerical simulation work of different years is not needed, and manpower and material cost is greatly reduced.
The embodiment of the first aspect of the application provides an air quality standard-reaching analysis method, which comprises the following steps of;
acquiring topographic information of a target area, meteorological data and a first pollution emission list of the target area in a reference year and planning measure information corresponding to an air quality target;
determining response relation coefficients between the annual average concentration of preset pollutants and reduction amounts corresponding to different pollutants of each pollution source respectively according to the topographic information, the meteorological data, the planning measure information and the first pollution emission list;
and judging whether the air quality target can be realized or not according to the planning measure information and the response relation coefficients corresponding to different pollutants of each pollution source.
In some embodiments of the present application, determining, according to the topographic information, the meteorological data, the planning measure information, and the first pollutant discharge list, a response relation coefficient between an annual average concentration of preset pollutants and reduction amounts corresponding to different pollutants of each pollution source respectively includes:
respectively simulating first contribution concentrations of different pollutants of each pollution source to the annual average concentration of a preset pollutant in the reference year according to the topographic information, the meteorological data and the first pollution emission list;
generating a second pollution emission list in a target year corresponding to the air quality target according to the planning measure information and the first pollution emission list;
respectively simulating second contribution concentrations of different pollutants of each pollution source in the target year to the annual average concentration of the preset pollutants according to the second pollution emission list;
and respectively determining response relation coefficients between reduction amounts corresponding to different pollutants of each pollution source and the annual average concentration of the preset pollutants according to the first pollution emission list, the second pollution emission list, the first contribution concentration and the second contribution concentration.
In some embodiments of the present application, the simulating, according to the topographic information, the meteorological data, and the first pollutant emission schedule, first contribution concentrations of different pollutants of each pollution source to an annual average concentration of a preset pollutant within the reference year, respectively, includes:
generating an initial value field required by the operation of a preset meteorological mode according to the topographic information and the meteorological data;
operating the preset meteorological mode to generate a meteorological background field according to the initial value field and the meteorological data;
according to the meteorological background field, operating a preset air quality mode to mark different pollutants of each pollution source included in the first pollution emission list;
and according to the marked first pollution emission list, respectively simulating first contribution concentrations of different pollutants of each pollution source in the reference year to the annual average concentration of the preset pollutants through the preset air quality mode.
In some embodiments of the present application, the generating a second pollution emission list within a target year corresponding to the air quality target according to the planning measure information and the first pollution emission list includes:
determining the reduction amount corresponding to different pollutants of each pollution source according to the planning measure information;
calculating the emission amount corresponding to different pollutants of each pollution source in a target year corresponding to the air quality target according to the reduction amount corresponding to different pollutants of each pollution source and the emission amount corresponding to different pollutants of each pollution source included in the first pollution emission list after marking;
and determining the emission amount corresponding to different pollutants of each pollution source in the target year as a second pollution emission list in the target year.
In some embodiments of the present application, the determining, according to the first pollutant emission list, the second pollutant emission list, the first contribution concentration, and the second contribution concentration, a response relationship coefficient between a reduction amount corresponding to different pollutants of each pollution source and an annual average concentration of the preset pollutants respectively includes:
respectively calculating the reduction amount corresponding to different pollutants of each pollution source from the reference year to the target year according to the first pollution emission list and the second pollution emission list;
calculating contribution concentration reduction values corresponding to different pollutants of each pollution source from the reference year to the target year according to the first contribution concentration and the second contribution concentration corresponding to different pollutants of each pollution source;
and respectively determining the response relation coefficient between the reduction amount corresponding to the different pollutants of each pollution source and the annual average concentration of the preset pollutants according to the reduction amount corresponding to the different pollutants of each pollution source and the contribution concentration reduction value.
In some embodiments of the present application, the determining whether the air quality target can be achieved according to the planning measure information and the response relation coefficients corresponding to different pollutants of each pollution source includes:
determining the reduction amount corresponding to different pollutants of each pollution source according to the planning measure information;
calculating contribution concentration reduction values corresponding to different pollutants of each pollution source according to the reduction amount corresponding to the different pollutants of each pollution source and the response relation coefficient;
calculating the sum of the contribution concentration reduction values corresponding to different pollutants of each pollution source, and determining the calculated sum as the annual average concentration reduction value of the preset pollutants;
if the annual average concentration reduction value of the preset pollutants is determined to be greater than or equal to the annual average concentration reduction value corresponding to the air quality target, determining that the air quality target can be achieved;
and if the annual average concentration reduction value of the preset pollutants is determined to be smaller than the annual average concentration reduction value corresponding to the air quality target, determining that the air quality target cannot be realized.
In some embodiments of the present application, the method further comprises:
and if the air quality target cannot be realized, adjusting the planning measure information according to the contribution concentration reduction values corresponding to different pollutants of each pollution source and the air quality target.
Embodiments of a second aspect of the present application provide an air quality compliance analysis device, the device comprising;
the data acquisition module is used for acquiring topographic information of a target area, meteorological data and a first pollution emission list of the target area in a reference year and planning measure information corresponding to an air quality target;
the response relation determining module is used for determining response relation coefficients between the annual average concentration of preset pollutants and reduction amounts corresponding to different pollutants of each pollution source according to the topographic information, the meteorological data, the planning measure information and the first pollution emission list;
and the judging module is used for judging whether the air quality target can be realized or not according to the planning measure information and the response relation coefficients corresponding to different pollutants of each pollution source.
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:
according to the embodiment of the application, the response relation coefficient between the reduction amount corresponding to different pollutants of different pollution sources and the annual average concentration of the preset pollutants in the reference year and the target year is obtained, based on the response relation coefficient corresponding to different pollutants of different pollution sources, as long as the reduction amount corresponding to different pollutants of different pollution sources in the time period to be evaluated is obtained, the annual average concentration of the preset pollutants in the time period to be evaluated can be rapidly calculated, the calculated annual average concentration is compared with the annual average concentration specified by the air quality target, whether the air quality target can be realized or not can be determined, the rapid response analysis of the air quality target is realized, the repeatability numerical simulation work of accessibility of different years is not needed, and the cost of manpower and material resources is greatly reduced.
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.
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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 obtains the correlation between the reduction amount corresponding to different pollutants of different pollution sources in a reference year and a target year and the air quality, can quickly respond and analyze the accessibility of an air quality target, does not need to perform repeated numerical simulation work in different years between the target year and the reference year, and greatly reduces the cost of manpower and material resources.
Referring to fig. 1, the method specifically includes the following steps;
step 101: and acquiring topographic information of the target area, meteorological data and a first pollution emission list of the target area in a reference year and planning measure information corresponding to the air quality target.
The target area may be a city or a larger area composed of a plurality of cities, for example, the target area may be Beijing City, Jingjin Ji area or North China. Considering the transmission of areas where contaminants are present, the target area may be selected to encompass a larger area if the accessibility of an air quality target for that area is to be analyzed, such as the kyford wing area or the north china area if the accessibility of an air quality target in beijing is to be analyzed. The topographical information may be an electronic map of the target area.
The air quality target may specify a target zone that presets an annual average concentration of the pollutant within a target year, or may specify a target zone that presets an annual average concentration reduction of the pollutant from a baseline year to a target year. The reference year may be the current yearThe next year of the year, such as the first year before the current year or the second year before the current year. The target year is the latest deadline required to achieve the air quality target. Predetermined pollutants including PM2.5And PM10Presetting the target concentration of pollutants as PM2.5Annual average concentration and PM10The annual average concentration of (c).
For example, the air quality target may specify PM within 2025 of Beijing City2.5The annual average concentration of the extract reaches 35 mu g/m3，PM10The annual average concentration of the extract reaches 70 mu g/m3. Alternatively, the air quality target may specify 2025 years PM in Beijing City2.5Year-average concentration ratio of (2) PM2.5The annual average concentration of (A) is reduced by 5 mu g/m3，PM10The annual average concentration of (A) is reduced by 8 mu g/m3。
The meteorological data of the target area in the reference year includes temperature, humidity, wind speed, air pressure, etc. of the target area per hour in the reference year. The NECP FNL data of the American environment forecasting center contains a large amount of observation and satellite inversion meteorological data, and meteorological data of a target area in a reference year are acquired through downloading and reprocessing. The planning measure information corresponding to the air quality target comprises planning measures formulated for realizing the air quality target, and the planning measures comprise planning measures for treating various pollution sources, wherein the pollution sources comprise industrial sources, living sources, agricultural sources, mobile sources, dust sources and the like. 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.
The first pollutant emission list comprises the emission amount of different pollutants of each pollution source in the target area in a reference year, and the first pollutant emission list can comprise PM formed by industrial sources in the embodiment of the application2.5Emission amount of (2), PM10Emission amount of (2), SO2Emission amount of (3), NO2Emission amount of (2) and NH3Emission amount of (2), PM formed by a moving source2.5Emission amount of (2), PM10Emission amount of (2), SO2Emission amount of (3), NO2Emission amount of (2) and NH3The amount of emissions, etc. Different pollutants of various pollution sources are accumulated in the target areaThe present embodiments may obtain a first pollutant emission list from the emission data.
Step 102: and determining response relation coefficients between the annual average concentration of the preset pollutants and the reduction amounts corresponding to different pollutants of each pollution source respectively according to the topographic information, the meteorological data, the planning measure information and the first pollution emission list.
The embodiment of the present application may specifically determine the response relationship coefficients between the annual average concentration of the preset pollutants and the reduction amounts corresponding to different pollutants of each pollution source through the following operations of steps S1-S4, including:
s1: according to the topographic information, the meteorological data and the first pollution emission list, first contribution concentrations of different pollutants of each pollution source in a reference year to the annual average concentration of the preset pollutants are simulated respectively.
And generating an initial value field required by the operation of a preset meteorological model according to the topographic information and the meteorological data. Specifically, after acquiring the topographic information of the target area and the meteorological data of the target area within the reference year, step 101 sets a simulation area and a projection mode according to the topographic information of the target area, that is, sets the target area as the simulation area in the electronic map, and projects the three-dimensional topographic information of the target area into a planar map. Nested grids are then provided in the projected map, the nested grids including horizontal grids and vertical grids, and the horizontal grids may include grids at three horizontal grid intervals, 27 × 27 km, 9 × 9 km, and 3 × 3 km. The vertical grid is a grid set at different heights perpendicular to the map. After the nested grids are set, respectively preprocessing meteorological data and topographic information in each grid, specifically preprocessing the meteorological data and topographic information in the grids according to grid point information such as coordinates, horizontal grid distances and vertical grid distances of the grids, and generating an initial value field required by the operation of a preset meteorological mode. The preset weather mode can be MM5 (fifth generation mesoscale mode), WRF (weather research and weather Forecasting Model), etc.
After the initial value field is generated in the mode, a preset meteorological mode is operated to generate a meteorological background field according to the meteorological data of the initial value field and the target area in a reference year. And operating a preset air quality mode to mark different pollutants of each pollution source included in the first pollution emission list according to the meteorological background field. Specifically, with the generated meteorological background field as a background, a preset emission source processing system is operated to input a first pollution emission list, and different pollutants of each pollution source included in the first pollution emission list are marked by using a preset air quality mode.
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), or CAMQ (collective Multiscale Air Quality prediction System), etc. For example, in the context of the generated meteorological background field, the smoke model is run to input a first pollutant emission list, and the marking module PAST in the CAMx mode is used to mark different pollutants of each pollution source included in the first pollutant emission list.
And then according to the marked first pollution emission list, respectively simulating the first contribution concentration of different pollutants of each pollution source in the reference year to the annual average concentration of the preset pollutants through a preset air quality mode. The first contribution concentration corresponding to a certain pollutant in a certain pollution source represents a concentration value of a preset pollutant caused by the pollutant in the pollution source in the annual average concentration of the preset pollutant in a reference year. For example, assuming that the reference year is 2020, PM of industrial origin2.5PM in 20202.5The first contribution concentration of (a) to the annual average concentration of (b) is 5. mu.g/m3SO of industrial origin2Resulting PM2.5PM in 20202.5The first contribution concentration of (a) to the annual average concentration of (b) is 1. mu.g/m3NO of mobile source2Resulting PM2.5PM in 20202.5The first contribution concentration of (a) to the annual average concentration of (b) is 3. mu.g/m3。
S2: and generating a second pollution emission list in the target year corresponding to the air quality target according to the planning measure information and the first pollution emission list.
And determining the reduction amount corresponding to different pollutants of each pollution source according to the planning measure information. The planning measure information includes treatment measures for various pollution sources. The treatment measures are analyzed, the pollution source aimed by each treatment measure is determined, and the reduction of each pollutant in the pollution source aimed by each treatment measure is determined. For example, if the abatement measure is "take a single or double restriction measure for a motor vehicle", it may be determined that the pollution source to which the abatement measure is directed is a mobile source, and the abatement measure may halve the emission of each pollutant of the mobile source, if the PM of the mobile source in a reference year is the mobile source2.5If 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 amount corresponding to the different pollutants of each pollution source in the target year corresponding to the air quality target according to the reduction amount corresponding to the different pollutants of each pollution source and the emission amount corresponding to the different pollutants of each pollution source included in the first pollution emission list marked in the step S1. For the same pollutant in the same pollution source, the emission amount of the pollutant in the pollution source in the first pollution emission list is subtracted by the reduction amount corresponding to the pollutant in the pollution source which can be formed by adopting the planning measure, and the calculated difference value is the emission amount corresponding to the pollutant in the pollution source after the planning measure is adopted. And for any pollutant in any pollution source, calculating the discharge amount after the planning measure is taken by the mode. And the discharge amount after the planning measures are taken is the discharge amount in the target year corresponding to the air quality target. And determining the discharge amount corresponding to different pollutants of each pollution source in the target year as a second pollution discharge list in the target year.
S3: and respectively simulating second contribution concentrations of different pollutants of each pollution source in the target year to the annual average concentration of the preset pollutants according to the second pollution emission list.
Since the second pollutant emission list is generated in step S2 based on the marked first pollutant emission list, different pollutants in each pollution source are marked in the generated second pollutant emission list.
And keeping the weather background field generated in the step S1 unchanged, and respectively simulating second contribution concentrations of different pollutants of each pollution source in the target year to the annual average concentration of the preset pollutants through a preset air quality mode according to the marked second pollution emission list. The second contribution concentration corresponding to a certain pollutant in a certain pollution source represents a concentration value of a preset pollutant caused by the pollutant in the pollution source in the annual average concentration of the target year. For example, assume that the target year is 2025, PM of industrial origin2.5PM in 20252.5The second contribution concentration of (2) is 3. mu.g/m3SO of industrial origin2Resulting PM2.5PM in 20252.5The second contribution concentration of (2) is 0.5. mu.g/m3NO of mobile source2Resulting PM2.5PM in 20252.5The second contribution concentration of (2) is 1. mu.g/m3。
S4: and respectively determining response relation coefficients between reduction amounts corresponding to different pollutants of each pollution source and the annual average concentration of the preset pollutants according to the first pollution emission list, the second pollution emission list, the first contribution concentration and the second contribution concentration.
After the marked first pollutant emission list and the marked second pollutant emission list are obtained through the operations of the steps S1-S3, and the first contribution concentration and the second contribution concentration corresponding to different pollutants in each pollution source are obtained, the first contribution concentration and the second contribution concentration of the same pollutant in the same pollution source are compared, so that the contribution concentration reduction value of the pollutant to the preset pollutant in the pollution source from the reference year to the target year can be obtained. By comparing the emission amount of the pollutant in the pollution source in the first pollution emission list and the second pollution emission list, the reduction value of the emission amount of the pollutant in the pollution source between the reference year and the target year can be obtained. According to the reduction value of the contribution concentration and the reduction value of the emission amount corresponding to the pollutant in the pollution source, the response relation between the reduction amount of the pollutant in the pollution source and the annual average concentration of the preset pollutant can be determined.
Specifically, according to the first pollution emission list and the second pollution emission list, the reduction amount corresponding to different pollutants of each pollution source from the reference year to the target year is calculated respectively. For the same pollutant in the same pollution source, calculating a difference value between the emission amount corresponding to the pollutant in the pollution source in a first pollution emission list and the emission amount corresponding to the pollutant in the pollution source in a second pollution emission list, wherein the difference value is the reduction amount corresponding to the pollutant in the pollution source from a reference year to a target year.
And respectively calculating the contribution concentration reduction values corresponding to different pollutants of each pollution source from the reference year to the target year according to the first contribution concentration and the second contribution concentration corresponding to the different pollutants of each pollution source. That is, for the same pollutant in the same pollution source, calculating a difference value between a first contribution concentration and a second contribution concentration corresponding to the pollutant in the pollution source, wherein the difference value is a contribution concentration reduction value corresponding to the pollutant in the pollution source from a reference year to a target year.
And respectively determining the response relation coefficient between the reduction amount corresponding to the different pollutants of each pollution source and the annual average concentration of the preset pollutants according to the reduction amount corresponding to the different pollutants of each pollution source and the contribution concentration reduction value. Specifically, for the same pollutant in the same pollution source, a ratio between a contribution concentration reduction value and a reduction amount corresponding to the pollutant in the pollution source is calculated, and the ratio is a response relation coefficient between the reduction amount corresponding to the pollutant in the pollution source and an annual average concentration of a preset pollutant.
In the embodiment of the present application, after determining the response relationship coefficient between the reduction amount corresponding to different pollutants of each pollution source and the annual average concentration of the preset pollutants, as long as the reduction amount of any pollutant in any pollution source in any year between the reference year and the target year is obtained, the reduction value of the annual average concentration of the preset pollutants caused by the reduction amount of the pollutants in the pollution source can be determined according to the reduction amount corresponding to the pollutants in the pollution source and the response relationship coefficient.
For example, assume that the reference year is 2020 and the target year is 2025. PM 20202.5Has an annual average concentration of 40. mu.g/m3Move PM in Source in first pollution emission List, 20202.5Emission of 5 tons of PM from a moving source2.5For PM of 20202.5The first contributing concentration of the annual average concentration of (2 μ g/m)3. Determining PM in the moving source in the second pollution emission list of 2025 according to the formulated planning measure information2.5The discharge amount is 3 tons, and the reduction amount is 2 tons. Simulating 2025 year PM according to second pollutant emission list2.5Has an annual average concentration of 35. mu.g/m3In which the PM in the source is moved2.5For PM of 2025 years2.5The second contributing concentration of the annual average concentration of (a) is 1.5. mu.g/m3. By comparative analysis, PM in mobile sources over the period of 2020 to 2025 was obtained2.5The reduction amount of (2) and the amount of PM in the source of movement2.5For PM2.5The reduction in the concentration contributed by the annual average concentration was 0.5. mu.g/m3. Then the PM in the source is moved2.5For PM2.5The coefficient of the response relationship of the annual average concentration is [ (0.5 mu g/m)3) 2 ton of]I.e. 0.25. If PM is moving in the source in 20232.5PM is reduced by 1 ton2.5Will decrease by 0.25. mu.g/m3。
Step 103: and judging whether the air quality target can be realized or not according to the planning measure information and the response relation coefficients corresponding to different pollutants of each pollution source.
And determining the reduction amount corresponding to different pollutants of each pollution source according to the planning measure information. And respectively calculating the contribution concentration reduction values corresponding to different pollutants of each pollution source according to the reduction amount and the response relation coefficient corresponding to different pollutants of each pollution source. And for the same pollutant in the same pollution source, calculating the product of the reduction amount corresponding to the pollutant in the pollution source and the response relation coefficient, wherein the product is the contribution concentration reduction value corresponding to the pollutant in the pollution source.
And calculating the sum of the contribution concentration reduction values corresponding to different pollutants of each pollution source, and determining the calculated sum as the annual average concentration reduction value of the preset pollutants. And comparing the annual average concentration reduction value of the preset pollutants with the annual average concentration reduction value corresponding to the air quality target, and if the air quality target specifies the annual average concentration of the preset pollutants in the target area in the target year, calculating the difference between the annual average concentration of the preset pollutants in the target year and the annual average concentration of the preset pollutants in the reference year, wherein the difference is the annual average concentration reduction value of the preset pollutants corresponding to the air quality target. And if the annual average concentration reduction value of the preset pollutants is determined to be greater than or equal to the annual average concentration reduction value corresponding to the air quality target, determining that the air quality target can be achieved. And if the annual average concentration reduction value of the preset pollutants is determined to be smaller than the annual average concentration reduction value corresponding to the air quality target, determining that the air quality target cannot be realized.
If the annual average concentration reduction value of the preset pollutants is determined to be smaller than the annual average concentration reduction value corresponding to the air quality target through the mode, it is determined that the planning measures included in the current planning measure information cannot achieve the air quality target, and the planning measure information can be adjusted according to the contribution concentration reduction values and the air quality targets corresponding to different pollutants of each pollution source. Specifically, the contribution concentration reduction values corresponding to different pollutants of each pollution source are adjusted according to the annual average concentration reduction value corresponding to the air quality target, so that the sum of the contribution concentration reduction values corresponding to different pollutants of each pollution source is greater than or equal to the annual average concentration reduction value corresponding to the air quality target. And respectively calculating the adjusted reduction amount corresponding to the different pollutants of each pollution source according to the adjusted contribution concentration reduction value corresponding to the different pollutants of each pollution source and the response relation coefficient corresponding to the different pollutants of each pollution source. And for the same pollutant in the same pollution source, calculating the ratio between the contribution concentration reduction value corresponding to the pollutant in the pollution source and the corresponding response relation coefficient, wherein the ratio is the adjusted reduction amount corresponding to the pollutant in the pollution source.
After the reduction amount corresponding to different pollutants of each pollution source is adjusted in the above way, the reduction amount corresponding to different pollutants of each pollution source is respectively adjustedAnd planning treatment measures for each pollution source included in the measure information. For example, suppose PM in source is moved before adjustment2.5The reduction amount of the mobile source is 3 tons, the treatment measure for the mobile source included in the planning measure information is a 'single-double number restriction measure', and the PM in the mobile source is adjusted2.5The reduction amount is 5 tons, the treatment measures for the mobile source in the planning measure information can be adjusted to be 'single-double number restriction measures' and 'foreign license plate restriction measures'.
In the embodiment of the application, the response relationship coefficients between the annual average concentration of the preset pollutants and the reduction amounts corresponding to different pollutants of each pollution source are established through the operation of the above step 101-103, and then, for any year between the reference year and the target year, as long as the reduction amounts of different pollutants of different pollution sources in the year are obtained, whether the air quality target corresponding to the time period can be realized can be quickly evaluated, and numerical simulation is not required to be performed on the annual average of the reference year and the year of the target year, so that a large amount of manpower and material costs are saved.
To further facilitate understanding of the methods provided by embodiments of the present application, reference is made to the following description taken in conjunction with the accompanying drawings. As shown in fig. 2, the target annual pollutant emission list is generated according to the standard annual pollutant emission list and the reduction amount of different pollutants of different pollution sources in the target year. And inputting a reference year pollution emission list and a target year pollution emission list through an emission source processing system, respectively marking different pollutants of different pollution sources in the reference year and different pollutants of different pollution sources in the target year, and respectively inputting the marked pollutants into an air quality mode. Respectively simulating PM of a reference year and a target year by operating a meteorological model and an air quality model2.5And PM10The annual average concentration of (a) and the correlation between different pollutants of different pollution sources. Then PM according to the reference year and the target year2.5And PM10The annual average concentration of the pollutant and the pollutants of different pollution sources are correlated to obtain the reduction amount and PM of the pollutants of different pollution sources2.5And PM10The annual average concentration of (c). The reduction amount and PM of different pollutants according to different pollution sources2.5And PM10The coefficient of the response relation between the annual average concentrations of (A) is different from year to yearThe reduction of different pollutants of pollution sources and corresponding annual average concentration targets, and quickly evaluating the air quality targets (PM) of different years during a reference year and a target year2.5And PM10Annual average concentration).
According to the embodiment of the application, the response relation coefficient between the reduction amount corresponding to different pollutants of different pollution sources and the annual average concentration of the preset pollutants in the reference year and the target year is obtained, based on the response relation coefficient corresponding to different pollutants of different pollution sources, the annual average concentration of the preset pollutants in the required evaluation year can be rapidly calculated as long as the reduction amount corresponding to different pollutants of different pollution sources in the required evaluation year is obtained, the calculated annual average concentration is compared with the annual average concentration specified by the air quality target, whether the air quality target can be achieved or not can be determined, the rapid response analysis of the air quality target is realized, the repeated numerical simulation work of different years between the reference year and the target year is not needed, and the cost of manpower and material resources is greatly reduced.
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 data acquisition module 301 is configured to acquire topographic information of the target area, meteorological data and a first pollutant emission list of the target area in a reference year, and planning measure information corresponding to the air quality target;
a response relation determining module 302, configured to determine, according to the topographic information, the meteorological data, the planning measure information, and the first pollutant discharge list, response relation coefficients between the annual average concentration of the preset pollutants and reduction amounts corresponding to different pollutants of each pollution source, respectively;
and the judging module 303 is configured to judge whether the air quality target can be achieved according to the planning measure information and the response relationship coefficients corresponding to different pollutants of each pollution source.
Response relation determination module 302 includes:
the simulation unit is used for respectively simulating first contribution concentrations of different pollutants of each pollution source in a reference year to the annual average concentration of the preset pollutants according to the topographic information, the meteorological data and the first pollution discharge list;
the generating unit is used for generating a second pollution emission list in a target year corresponding to the air quality target according to the planning measure information and the first pollution emission list;
the simulation unit is further configured to respectively simulate second contribution concentrations of different pollutants of each pollution source in a reference year to the annual average concentration of the preset pollutants according to a second pollution emission list;
and the determining unit is used for respectively determining the response relation coefficient between the reduction amount corresponding to different pollutants of each pollution source and the annual average concentration of the preset pollutants according to the first pollution emission list, the second pollution emission list, the first contribution concentration and the second contribution concentration.
The simulation unit is also used for generating an initial value field required by the operation of a preset meteorological model according to the terrain information and the meteorological data; operating a preset meteorological mode to generate a meteorological background field according to the initial value field and the meteorological data; according to the meteorological background field, operating a preset air quality mode to mark different pollutants of each pollution source included in the first pollution emission list; and respectively simulating the first contribution concentration of different pollutants of each pollution source in the reference year to the annual average concentration of the preset pollutants through a preset air quality mode according to the marked first pollution emission list.
The generating unit is used for determining the reduction amount corresponding to different pollutants of each pollution source according to the planning measure information; calculating the emission amount corresponding to different pollutants of each pollution source in a target year corresponding to the air quality target according to the reduction amount corresponding to different pollutants of each pollution source and the emission amount corresponding to different pollutants of each pollution source included in the marked first pollution emission list; and determining the emission amount corresponding to different pollutants of each pollution source in the target year as a second pollution emission list in the target year.
The determining unit is used for respectively calculating the reduction amount corresponding to different pollutants of each pollution source from the reference year to the target year according to the first pollution emission list and the second pollution emission list; respectively calculating contribution concentration reduction values corresponding to different pollutants of each pollution source from a reference year to a target year according to the first contribution concentration and the second contribution concentration corresponding to the different pollutants of each pollution source; and respectively determining the response relation coefficient between the reduction amount corresponding to the different pollutants of each pollution source and the annual average concentration of the preset pollutants according to the reduction amount corresponding to the different pollutants of each pollution source and the contribution concentration reduction value.
The judging module 303 is configured to determine reduction amounts corresponding to different pollutants of each pollution source according to the planning measure information; calculating contribution concentration reduction values corresponding to different pollutants of each pollution source according to the reduction amount and the response relation coefficient corresponding to the different pollutants of each pollution source; calculating the sum of the contribution concentration reduction values corresponding to different pollutants of each pollution source, and determining the calculated sum as the annual average concentration reduction value of the preset pollutants; if the annual average concentration reduction value of the preset pollutants is determined to be greater than or equal to the annual average concentration reduction value corresponding to the air quality target, determining that the air quality target can be achieved; and if the annual average concentration reduction value of the preset pollutants is determined to be smaller than the annual average concentration reduction value corresponding to the air quality target, determining that the air quality target cannot be realized.
The device also includes: and an adjusting module, configured to adjust the planning measure information according to the contribution concentration reduction value and the air quality target corresponding to different pollutants of each pollution source if the determining module 303 determines that the air quality target cannot be achieved.
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.
Bus 202 can be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 201 is used for storing a program, and the processor 200 executes the program after receiving an execution instruction, and the air quality compliance analysis method disclosed in any of the embodiments of the present application may be applied to the processor 200, or implemented by the processor 200.
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 topographic information of a target area, meteorological data and a first pollution emission list of the target area in a reference year and planning measure information corresponding to an air quality target;
determining response relation coefficients between the annual average concentration of preset pollutants and reduction amounts corresponding to different pollutants of each pollution source respectively according to the topographic information, the meteorological data, the planning measure information and the first pollution emission list;
and judging whether the air quality target can be realized or not according to the planning measure information and the response relation coefficients corresponding to different pollutants of each pollution source.
2. The method of claim 1, wherein determining a response relation coefficient between annual average concentrations of preset pollutants and reduction amounts respectively corresponding to different pollutants of each pollution source according to the topographic information, the meteorological data, the planning measure information and the first pollution emission list comprises:
respectively simulating first contribution concentrations of different pollutants of each pollution source to the annual average concentration of a preset pollutant in the reference year according to the topographic information, the meteorological data and the first pollution emission list;
generating a second pollution emission list in a target year corresponding to the air quality target according to the planning measure information and the first pollution emission list;
respectively simulating second contribution concentrations of different pollutants of each pollution source in the target year to the annual average concentration of the preset pollutants according to the second pollution emission list;
and respectively determining response relation coefficients between reduction amounts corresponding to different pollutants of each pollution source and the annual average concentration of the preset pollutants according to the first pollution emission list, the second pollution emission list, the first contribution concentration and the second contribution concentration.
3. The method of claim 2, wherein separately simulating first contribution concentrations of different pollutants of each pollution source to an annual average concentration of a predetermined pollutant within the reference year from the terrain information, the meteorological data, and the first pollutant emission manifest comprises:
generating an initial value field required by the operation of a preset meteorological mode according to the topographic information and the meteorological data;
operating the preset meteorological mode to generate a meteorological background field according to the initial value field and the meteorological data;
according to the meteorological background field, operating a preset air quality mode to mark different pollutants of each pollution source included in the first pollution emission list;
and according to the marked first pollution emission list, respectively simulating first contribution concentrations of different pollutants of each pollution source in the reference year to the annual average concentration of the preset pollutants through the preset air quality mode.
4. The method of claim 2, wherein generating a second pollutant emission list within a target year corresponding to the air quality target based on the planning action information and the first pollutant emission list comprises:
determining the reduction amount corresponding to different pollutants of each pollution source according to the planning measure information;
calculating the emission amount corresponding to different pollutants of each pollution source in a target year corresponding to the air quality target according to the reduction amount corresponding to different pollutants of each pollution source and the emission amount corresponding to different pollutants of each pollution source included in the first pollution emission list after marking;
and determining the emission amount corresponding to different pollutants of each pollution source in the target year as a second pollution emission list in the target year.
5. The method of claim 2, wherein the determining the response relation coefficients between the reduction amounts corresponding to the different pollutants of each pollution source and the annual average concentration of the preset pollutant respectively according to the first pollutant emission list, the second pollutant emission list, the first contribution concentration and the second contribution concentration comprises:
respectively calculating the reduction amount corresponding to different pollutants of each pollution source from the reference year to the target year according to the first pollution emission list and the second pollution emission list;
calculating contribution concentration reduction values corresponding to different pollutants of each pollution source from the reference year to the target year according to the first contribution concentration and the second contribution concentration corresponding to different pollutants of each pollution source;
and respectively determining the response relation coefficient between the reduction amount corresponding to the different pollutants of each pollution source and the annual average concentration of the preset pollutants according to the reduction amount corresponding to the different pollutants of each pollution source and the contribution concentration reduction value.
6. The method of claim 1, wherein determining whether the air quality goal can be achieved based on the planning measure information and the response relationship coefficients corresponding to different pollutants of each pollution source comprises:
determining the reduction amount corresponding to different pollutants of each pollution source according to the planning measure information;
calculating contribution concentration reduction values corresponding to different pollutants of each pollution source according to the reduction amount corresponding to the different pollutants of each pollution source and the response relation coefficient;
calculating the sum of the contribution concentration reduction values corresponding to different pollutants of each pollution source, and determining the calculated sum as the annual average concentration reduction value of the preset pollutants;
if the annual average concentration reduction value of the preset pollutants is determined to be greater than or equal to the annual average concentration reduction value corresponding to the air quality target, determining that the air quality target can be achieved;
and if the annual average concentration reduction value of the preset pollutants is determined to be smaller than the annual average concentration reduction value corresponding to the air quality target, determining that the air quality target cannot be realized.
7. The method of claim 6, further comprising:
and if the air quality target cannot be realized, adjusting the planning measure information according to the contribution concentration reduction values corresponding to different pollutants of each pollution source and the air quality target.
8. An air quality compliance analysis device, comprising;
the data acquisition module is used for acquiring topographic information of a target area, meteorological data and a first pollution emission list of the target area in a reference year and planning measure information corresponding to an air quality target;
the response relation determining module is used for determining response relation coefficients between the annual average concentration of preset pollutants and reduction amounts corresponding to different pollutants of each pollution source according to the topographic information, the meteorological data, the planning measure information and the first pollution emission list;
and the judging module is used for judging whether the air quality target can be realized or not according to the planning measure information and the response relation coefficients corresponding to different pollutants of each pollution source.
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.
CN202010665027.8A 2020-07-10 2020-07-10 Air quality standard-reaching analysis method and device, electronic equipment and storage medium Pending CN111815178A (en)

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CN114971031A (en) * 2022-05-31 2022-08-30 中科三清科技有限公司 Tracing method and device for atmospheric pollution emission, electronic equipment and storage medium

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陈彦希: "哈尔滨市大气环境容量测算研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》 *

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113688505A (en) * 2021-07-29 2021-11-23 北京化工大学 Method, system and device for quickly optimizing air quality data
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