Regional division method of carbon and pollutant emissions

Abstract

The invention provides a carbon and pollutant emission regional division method. The method comprises the following steps: (S1) constructing a pollutant and carbon collaborative list by utilizing pollutant emission list methodology and IPCC carbon emission methodology; (S2) carrying out space distribution on the total emission amount in the collaborative list to form a gridding list; (S3) obtaining contribution rates of different sources to atmospheric pollutants according to the atmospheric pollution source list in combination with an air quality mode CMAQ-ISAM source analysis module, dynamically updating the equivalent value of the original fixed pollutants in space, and calculating the equivalent number of the atmospheric pollutants of the grid on the basis of obtaining the optimized atmospheric pollution equivalent value; (S4) on the basis of obtaining the pollutant equivalent number and carrying out space distribution, each grid is homogenized into an index; and (S5) carrying out clustering analysis on the carbon and the pollutants by utilizing a clustering analysis algorithm to realize division of a plurality of sub-regions. The invention has the advantages of good synergistic effect and the like.

Description

Technical Field

[0001] This invention relates to air pollution monitoring, and in particular to a method for regional delineation of carbon and pollutant emissions. Background Technology

[0002] Studies have shown that pollutants and carbon dioxide emissions share a significant common origin. As the national coordinated emission reduction targets are advanced, identifying key emission areas and classifying them by region and level is conducive to ensuring the effective implementation of policies related to coordinated governance. Currently, air pollutants and carbon are spatially divided separately before comparison, but no coordinated spatial division method for pollutants and carbon emissions has yet been found.

[0003] Traditional methods classify areas based solely on pollutant emissions or carbon emissions. However, such classifications cannot meet the dual requirements of achieving national coordinated goals, namely, pollution reduction and carbon reduction, and are difficult to simultaneously identify key carbon emission and pollutant emission areas. Summary of the Invention

[0004] To address the shortcomings of the existing technical solutions, the present invention provides a method for regional delineation of carbon and pollutant emissions.

[0005] The objective of this invention is achieved through the following technical solution: The method for regionalizing carbon and pollutant emissions includes the following steps: (S1) Construct a synergistic inventory of pollutants and carbon using pollutant emission inventory methodology and IPCC carbon emission methodology; (S2) Spatially allocate the total emissions in the coordinated inventory to form a gridded inventory; (S3) Based on the atmospheric pollution source inventory and the CMAQ-ISAM source apportionment module of the air quality model, the contribution rate of different sources to atmospheric pollutants is obtained. The original fixed pollutant equivalent values ​​are dynamically updated in space. Based on the optimized atmospheric pollution equivalent values, the equivalent number of grid atmospheric pollutants is calculated. (S4) Based on obtaining the pollutant equivalent number and spatial allocation, each grid is homogenized into an index; (S5) Using cluster analysis algorithms, carbon and pollutants are clustered to achieve the division of multiple sub-regions.

[0006] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention integrates pollutant emission inventory methodology and IPCC carbon emission inventory methodology to construct a coordinated carbon and pollutant inventory. The coordinated inventory mainly includes six sectors: electricity, industry, transportation, residential, agriculture, and waste, and forms a gridded inventory based on commonly used allocation parameters.

[0007] The CMAQ-ISAM air quality model was used to identify the contribution of emissions from different regions and categories to the target pollution. The contribution rate β of different sources to air pollutants was calculated, and the originally fixed equivalent values ​​were dynamically optimized in space. The pollutant equivalent values ​​in each grid will be dynamically updated based on the simulation results.

[0008] Based on homogenization and cluster analysis methods, the receptor region can be synergistically divided into carbon and pollutant regions into nine types, which can better identify key control areas spatially, enabling targeted policy implementation in relevant areas and facilitating coordinated control and the achievement of coordinated goals. Attached Figure Description

[0009] The disclosure of this invention will become more readily understood with reference to the accompanying drawings. It will be readily understood by those skilled in the art that these drawings are merely illustrative of the technical solutions of this invention and are not intended to limit the scope of protection of this invention. In the drawings: Figure 1 This is a flowchart of the method for regional delineation of carbon and pollutant emissions according to the present invention. Detailed Implementation

[0010] Figure 1 The following description illustrates optional embodiments of the invention to teach those skilled in the art how to implement and reproduce the invention. Some conventional aspects have been simplified or omitted to teach the technical solutions of the invention. Those skilled in the art should understand that variations or substitutions derived from these embodiments will be within the scope of the invention. Those skilled in the art should understand that the following features can be combined in various ways to form multiple variations of the invention. Therefore, the invention is not limited to the optional embodiments described below, but is defined only by the claims and their equivalents. Example

[0011] An embodiment of the present invention provides a method for regional delineation of carbon and pollutant emissions, such as... Figure 1 As shown, it includes the following steps: (S1) A combined pollutant and carbon inventory was constructed using pollutant emission inventory methodology and IPCC carbon emission methodology. The combined inventory includes the power, industrial, transportation, residential, agricultural, and waste sectors. There are nine pollutants: CO, NOx, VOCs, NH3, PM2.5, PM10, BC, OC, and SO2.

[0012] Agricultural equipment in the IPCC agriculture sector will be incorporated into the transportation sector of the aforementioned collaborative list; The power sector of the IPCC industrial sector is incorporated into the power sector of the aforementioned coordination list; In the IPCC, service sector emissions should be included in the residential sector of the aforementioned coordination list, which includes office areas, schools, and hospitals.

[0013] (S2) Based on the nature of each department, the total emissions in the collaborative list are spatially allocated to form a gridded list; (S3) Simulate the contribution rate β of different sources to air pollutants based on the CMAQ-ISAM model; Based on the atmospheric pollution source inventory and the source apportionment module of the CMAQ-ISAM air quality model, the contribution of emissions from different regions and categories to the target pollution can be identified using the "labeled tracer method," and the contribution rate β of different sources to atmospheric pollutants can be calculated. The specific calculation principle is as follows:

[0014] Pollutants from various emission sources can be labeled with characteristic emission sources Y in a specific region using the CMAQ-ISAM model. n Multiple pollutants emitted These pollutants, upon entering the chemical transport process (CTM), undergo a series of chemical and physical processes including transport, diffusion, gas-phase chemistry, and liquid-phase chemistry. ISAM can continuously update the labeling during this process, closely tracking the destination of various pollutants, ultimately determining the emission source Y in the region. n The distribution of various pollutants emitted and their chemical reactions within the model space can be tracked using ISAM, and the emission source Y can be obtained. n Pollutants generated For contaminants in any grid within the model space Contribution to the total amount Each grid (x) i )of It is dynamically calculated based on the model.

[0015] Optimization of pollution equivalent number.

[0016] Because emissions of different pollutants vary, resulting in different degrees and impacts on air pollution, a comprehensive analysis is needed to compare and compare multiple pollutant concentration data. This involves using the existing fixed pollution equivalent value β. j The contribution rate β of different sources to air pollutants was calculated using the CMAQ-ISAM source apportionment module, and the equivalent value was dynamically optimized based on this, leading to the construction of the following formula: , This represents the emission sources within a single grid obtained from the ISAM simulation. Pollutants generated Pollutant A throughout the model space jThe contribution of the total amount, B j This is the existing equivalent value. is the optimized equivalent value of the j-th pollutant in a single optimized grid, and n is the quantity of the portion in the collaborative inventory.

[0017] Since the original equivalent values ​​did not specify values ​​for PM2.5, OC, and BC, the PM2.5 pollution equivalent value for each grid is: The single grid obtained from ISAM simulation and .

[0018] Since BC and OC both belong to PM2.5 components, the pollution equivalent values ​​of BC and OC are stipulated to be equal to the pollution equivalent values ​​of PM2.5.

[0019] Based on the optimized air pollution equivalent values, the equivalent number of air pollutants in the grid is calculated. The specific calculation formula is as follows: W is the pollution equivalent number, B is the pollutant equivalent value, j represents different pollutants, and x i These are grid coordinates. For the xth i The pollution equivalent of the j-th pollutant in each grid cell. For the xth i grid (S4) Based on obtaining pollutant equivalent numbers and spatially allocating them, the various pollutant equivalent numbers are homogenized into indicators: .

[0020] (S5) Using cluster analysis algorithms, carbon and pollutants are clustered to achieve the division of multiple sub-regions.

[0021] In this invention, the k-means clustering algorithm is used for analysis. This algorithm is an iterative clustering algorithm that can assign all N samples to k clusters C = {C1, C2, ..., Ck}. It randomly selects k objects as initial cluster centers, and assigns each object to the nearest cluster center based on the distance between each object and each cluster center. This process is iterated until the objective function reaches its minimum value. The objective function is calculated based on the following formula: .

[0022] Where T is the sum of squared errors of all aggregated objects, x is the aggregated object, and u i It is the average value of all data in class Ci, where class Ci is the cluster center.

[0023] Based on urban emissions and emission intensity, regions are divided into nine categories (high / medium / low carbon + high / medium / low pollutant regions) to achieve coordinated regional division. When implementing coordinated regional management, appropriate policies can be implemented based on the regional division results. For example, for high-carbon + high-pollution regions, strategies for high-intensity carbon and pollutant control can be implemented, while for high-carbon + low-pollution regions, more emphasis should be placed on carbon emission control to achieve maximum economic benefits.

Claims

1. A method for delineating the regions for carbon and pollutant emissions, comprising the following steps: (S1) Construct a synergistic inventory of pollutants and carbon using pollutant emission inventory methodology and IPCC carbon emission methodology; (S2) Spatially allocate the total emissions in the coordinated inventory to form a gridded inventory; (S3) Based on the atmospheric pollution source inventory and the CMAQ-ISAM source apportionment module of the air quality model, the contribution rate of different sources to atmospheric pollutants is obtained. The original fixed pollutant equivalent values ​​are dynamically updated in space. Based on the optimized atmospheric pollution equivalent values, the equivalent number of grid atmospheric pollutants is calculated. (S4) Based on obtaining the pollutant equivalent number and spatial allocation, each grid is homogenized into an index; (S5) Using cluster analysis algorithms, carbon and pollutants are clustered to achieve the division of multiple sub-regions.

2. The method for regional delineation of carbon and pollutant emissions according to claim 1, characterized in that, The collaborative list includes the power, industry, transportation, residential, agriculture, and waste sectors.

3. The method for regional delineation of carbon and pollutant emissions according to claim 2, characterized in that, Agricultural equipment in the IPCC agriculture sector will be incorporated into the transportation sector of the aforementioned collaborative list; The power sector of the IPCC industrial sector is incorporated into the power sector of the aforementioned coordination list; In the IPCC, service sector emissions should be included in the residential sector of the aforementioned coordination list, which includes office areas, schools, and hospitals.

4. The method for regional delineation of carbon and pollutant emissions according to claim 1, characterized in that, In step (S3), the contribution of emissions from different regions and categories to the target pollution is identified based on the labeling and tracing method, and the contribution rate β of different sources to air pollutants is calculated.

5. The method for regional delineation of carbon and pollutant emissions according to claim 4, characterized in that, , This represents the emission sources within a single grid obtained from the ISAM simulation. Pollutants generated Pollutant A throughout the model space j The contribution of the total amount, B j This is the existing equivalent value. is the optimized equivalent value of the j-th pollutant in a single optimized grid, and n is the quantity of the portion in the collaborative inventory.

6. The method for regional delineation of carbon and pollutant emissions according to claim 5, characterized in that, Pollutants include PM2.5, BC, and OC. The PM2.5 pollution equivalent value for each grid is: The single grid obtained from ISAM simulation and .

7. The method for regional delineation of carbon and pollutant emissions according to claim 5, characterized in that, The equivalent number of atmospheric pollutants in the grid is: W is the pollution equivalent number, B is the pollutant equivalent value, j represents different pollutants, and x i These are grid coordinates. For the xth i The pollution equivalent of the j-th pollutant in each grid cell. For the xth i The emission amount of pollutant j in each grid.

8. The method for regional delineation of carbon and pollutant emissions according to claim 7, characterized in that, Based on obtaining the equivalent values ​​of various pollutants, these equivalent values ​​are homogenized into indicators: 。 9. The method for regional delineation of carbon and pollutant emissions according to claim 8, characterized in that, In step (S5), the region is divided into nine sub-regions according to the levels of high, medium, and low pollutants, as well as high, medium, and low carbon.

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