Top-down urban carbon emission accounting method and system

Abstract

The application belongs to the technical field of big data calculation, and particularly relates to a top-down urban carbon emission accounting method and system. The top-down urban carbon emission accounting method comprises the following steps: S1, gridizing map data to obtain carbon dioxide column concentration molar concentration data corresponding to each grid; S2, obtaining a carbon dioxide concentration difference between an accounting area and a surrounding area of the accounting area according to the carbon dioxide column concentration molar concentration data; S3, obtaining carbon dioxide concentration data of the accounting area according to the carbon dioxide concentration difference; S4, obtaining a carbon dioxide emission amount of the accounting area according to the carbon dioxide concentration data and a volume of the accounting area; and S5, obtaining a carbon emission amount of the accounting area according to the carbon dioxide emission amount. The top-down emission accounting method can avoid the problem of statistical inaccuracy in the traditional layer-by-layer reporting of carbon emissions by various industries.

Description

Technical Field

[0001] This invention belongs to the field of big data computing technology, specifically relating to a top-down urban carbon emission accounting method and system. Background Technology

[0002] Globally, urban carbon emissions already account for more than 75% of total carbon emissions, and in China, urban carbon emissions account for 80%. Currently, my country's urbanization rate is about 65%, and in the future, population and economic activities will continue to concentrate in cities. It is foreseeable that the proportion of carbon emissions from Chinese cities will further increase, so there is an urgent need to effectively manage urban carbon emissions.

[0003] Scientific accounting of urban carbon emissions is the core and foundation of urban carbon emission management. Current urban carbon emission accounting relies on manual statistics, with various industries reporting their carbon emissions from the bottom up, ultimately resulting in a comprehensive carbon emission figure. This method is inefficient and prone to statistical bias and data gaps, leading to low accuracy in the calculation results. Therefore, this application proposes a method for directly calculating urban carbon emissions using satellite remote sensing data. Summary of the Invention

[0004] The purpose of this invention is to provide a top-down urban carbon emission accounting method and system to solve the problem of statistical inaccuracies that easily occur when traditional industries report carbon emissions layer by layer.

[0005] To this end, the present invention provides a top-down method for calculating urban carbon emissions, comprising: step S1, gridding map data to obtain carbon dioxide column concentration molar concentration data corresponding to each grid; step S2, obtaining the carbon dioxide concentration difference between the calculation area and its surrounding areas through the carbon dioxide column concentration molar concentration data; step S3, obtaining the carbon dioxide concentration data of the calculation area based on the carbon dioxide concentration difference; step S4, obtaining the carbon dioxide emissions of the calculation area based on the carbon dioxide concentration data and the volume of the calculation area; and step S5, obtaining the carbon emissions of the calculation area based on the carbon dioxide emissions.

[0006] In another aspect, the present invention also provides an urban carbon emission accounting system, comprising: a gridded carbon dioxide column concentration molar concentration calculation module, which grids map data to obtain carbon dioxide column concentration molar concentration data corresponding to each grid; a carbon dioxide concentration difference calculation module, which obtains the carbon dioxide concentration difference between the accounting area and its surrounding areas through the carbon dioxide column concentration molar concentration data; a carbon dioxide concentration calculation module, which obtains the carbon dioxide concentration data of the accounting area based on the carbon dioxide concentration difference; a carbon dioxide emission calculation module, which obtains the carbon dioxide emission of the accounting area based on the carbon dioxide concentration data and the volume of the accounting area; and a carbon emission calculation module, which obtains the carbon emission of the accounting area based on the carbon dioxide emission.

[0007] The beneficial effect of this invention is that it grids map data to obtain the carbon dioxide concentration difference between the accounting area and its surrounding areas. Then, it can obtain the carbon dioxide concentration data of the accounting area based on the carbon dioxide concentration difference, and then combine it with the volume of the accounting area to obtain the carbon dioxide emissions of the accounting area. Finally, it can be converted into the carbon emissions of the accounting area. This top-down emission accounting method avoids the problem of statistical inaccuracies that are easily caused by the traditional method of reporting carbon emissions layer by layer from various industries. Attached Figure Description

[0008] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0009] Figure 1 This is a schematic diagram of the top-down urban carbon emission accounting method of the present invention. Detailed Implementation

[0010] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments implemented by those skilled in the art without creative effort are within the protection scope of the present invention.

[0011] Example

[0012] like Figure 1As shown, this invention provides a top-down method for calculating urban carbon emissions, including: step S1, gridding map data to obtain carbon dioxide column concentration molar concentration data corresponding to each grid; step S2, obtaining the carbon dioxide concentration difference between the calculation area and its surrounding areas through the carbon dioxide column concentration molar concentration data; step S3, obtaining the carbon dioxide concentration data of the calculation area based on the carbon dioxide concentration difference; step S4, obtaining the carbon dioxide emissions of the calculation area based on the carbon dioxide concentration data and the volume of the calculation area; and step S5, obtaining the carbon emissions of the calculation area based on the carbon dioxide emissions.

[0013] This invention grids map data to obtain the carbon dioxide concentration difference between the accounting area and its surrounding areas. Then, based on the carbon dioxide concentration difference, the carbon dioxide concentration data of the accounting area can be obtained. Combined with the volume of the accounting area, the carbon dioxide emissions of the accounting area can be obtained. Finally, the carbon emissions of the accounting area can be calculated. This top-down emission accounting method can avoid the problem of statistical inaccuracies that are easily caused by the traditional method of reporting carbon emissions layer by layer from various industries.

[0014] Step S1, which involves gridding the map data to obtain the carbon dioxide column concentration molar concentration data corresponding to each grid, may include:

[0015] Construct the calculation equation for the carbon dioxide column concentration molar concentration data Xco2, i.e.

[0016]

[0017] Where Nco2 represents the number of carbon dioxide molecules, No2 represents the number of oxygen molecules, and Z represents altitude. Nco2, No2, and Z are obtained from satellite remote sensing data. In this embodiment, the map can be gridded in 1°×1° latitude and longitude units, and the carbon dioxide column concentration molar concentration data of each 1°×1° grid can be calculated. When the calculation area is smaller, the map can be divided into finer grids.

[0018] Step S2, obtaining the carbon dioxide concentration difference between the calculation area and its surrounding areas using carbon dioxide column concentration molar concentration data, may include: determining the grid where the calculation area is located based on latitude and longitude, and recording the carbon dioxide column concentration molar concentration data of that grid as... The carbon dioxide column molar concentration data of other grids surrounding this grid are denoted as: but Among them, C mol,Δ The difference in carbon dioxide concentration is denoted as .

[0019] In step S3, carbon dioxide concentration data for the calculation area is obtained based on the carbon dioxide concentration difference.

[0020] Constructing a formula for calculating carbon dioxide concentration data

[0021]

[0022] Where C mass (mg / m 3 ) represents the carbon dioxide concentration data, M is the molecular mass of carbon dioxide under standard atmospheric pressure, 22.4 is the standard molar volume constant of the gas, and C mol,Δ (ppm) represents the carbon dioxide concentration difference at ppm, T(K) represents the Kelvin temperature of the grid where the calculation area is located, obtained from satellite remote sensing data, Ba(hPa) represents the pressure when the remote sensing data was acquired, and 1013.25 represents one standard atmosphere.

[0023] Step S4, obtaining the carbon dioxide emissions of the calculation area based on the carbon dioxide concentration data and the volume of the calculation area, includes: determining the area S of the grid where the calculation area is located and the height H of the calculation area. in, This is for calculating the carbon dioxide emissions of the accounting region.

[0024] Step S5, obtaining the carbon emissions of the accounting area based on the carbon dioxide emissions, includes: through... The carbon emissions Ec of the accounting region are obtained. Where 12 is the relative atomic mass of carbon atom and 44 is the relative molecular mass of carbon dioxide.

[0025] In this embodiment, a city carbon emission accounting system is also provided, including: a gridded carbon dioxide column concentration molar concentration calculation module, which grids map data to obtain carbon dioxide column concentration molar concentration data corresponding to each grid; a carbon dioxide concentration difference calculation module, which obtains the carbon dioxide concentration difference between the accounting area and its surrounding areas through the carbon dioxide column concentration molar concentration data; a carbon dioxide concentration calculation module, which obtains the carbon dioxide concentration data of the accounting area based on the carbon dioxide concentration difference; a carbon dioxide emission calculation module, which obtains the carbon dioxide emission of the accounting area based on the carbon dioxide concentration data and the volume of the accounting area; and a carbon emission calculation module, which obtains the carbon emission of the accounting area based on the carbon dioxide emission.

[0026] The grid carbon dioxide column concentration molar concentration calculation module, namely

[0027] Construct the calculation equation for the carbon dioxide column concentration molar concentration data Xco2, i.e.

[0028]

[0029] Where Nco2 represents the number of carbon dioxide molecules, No2 represents the number of oxygen molecules, and Z represents the altitude. Nco2, No2, and Z are obtained from satellite remote sensing data.

[0030] The carbon dioxide concentration difference calculation module, namely

[0031] Determine the grid in which the accounting region is located, and record the carbon dioxide column molar concentration data of that grid as follows: The carbon dioxide column molar concentration data of other grids surrounding this grid are denoted as: but Among them, C mol,Δ The difference in carbon dioxide concentration is denoted as .

[0032] The carbon dioxide concentration calculation module, namely

[0033] Constructing a formula for calculating carbon dioxide concentration data

[0034]

[0035] Where C mass (mg / m 3 ) represents the carbon dioxide concentration data, M is the molecular mass of carbon dioxide under standard atmospheric pressure, 22.4 is the standard molar volume constant of the gas, and C mol,Δ (ppm) represents the carbon dioxide concentration difference at ppm levels; T(K) represents the Kelvin temperature of the grid where the calculation area is located, obtained from satellite remote sensing data; Ba(hPa) represents the pressure at which the remote sensing data was acquired, in hPa, where 1013.25 is one standard atmosphere; and

[0036] The carbon dioxide emissions calculation module, i.e.

[0037] Once the area S of the grid containing the calculation region and the height H of the calculation region are determined, then...

[0038] in, To calculate the carbon dioxide emissions of the accounting region; and

[0039] Carbon emission calculation module, i.e.

[0040] pass The carbon emissions Ec of the accounting region are obtained. Where 12 is the relative atomic mass of carbon atom and 44 is the relative molecular mass of carbon dioxide.

[0041] The working principle and technical effects of the city's carbon emission accounting system have been explained above and will not be repeated here.

[0042] In summary, the top-down urban carbon emission accounting method provided by this invention grids map data to obtain the carbon dioxide concentration difference between the accounting area and its surrounding areas. Based on this difference, the carbon dioxide concentration data of the accounting area can be obtained, and combined with the volume of the accounting area, the carbon dioxide emissions of the accounting area can be calculated. Finally, the total carbon emissions of the accounting area are calculated. This top-down emission accounting method can quickly calculate the carbon emissions of a specific area. Compared with traditional methods that calculate carbon emission data based on carbon emission inventories, this method can realize the calculation and query of regional carbon emissions over long periods. It can be used for both government departments in technology and policy formulation and for carbon emission management of large enterprises or industrial parks.

[0043] In the embodiments provided in this application, it should be understood that the disclosed systems and devices can be implemented in other ways. The embodiments described above are merely illustrative. For example, the division of the mechanism is only a logical functional division, and there may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed.

[0044] Based on the above-described preferred embodiments of the present invention, and through the foregoing description, those skilled in the art can make various changes and modifications without departing from the inventive concept. The technical scope of this invention is not limited to the contents of the specification, but must be determined according to the scope of the claims.

Claims

1. A top-down method for calculating urban carbon emissions, characterized in that, include: Step S1 involves gridding the map data to obtain the carbon dioxide column concentration molar concentration data corresponding to each grid, including: Construct the calculation equation for the carbon dioxide column concentration molar concentration data Xco2, i.e. ； Where Nco2 is the number of carbon dioxide molecules, No2 is the number of oxygen molecules, and Z is the altitude. Nco2, No2, and Z are obtained from satellite remote sensing data. Step S2 involves obtaining the carbon dioxide concentration difference between the calculation area and its surrounding areas using carbon dioxide column concentration molar concentration data, including: Determine the grid in which the accounting region is located, and record the carbon dioxide column molar concentration data of that grid as follows: The carbon dioxide column molar concentration data of other grids surrounding this grid are recorded as follows: ,but ,in, The difference in carbon dioxide concentration; Step S3, obtaining carbon dioxide concentration data for the accounting region based on the carbon dioxide concentration difference, including: Constructing a formula for calculating carbon dioxide concentration data ； in The carbon dioxide concentration data refers to M, where M is the molecular mass of carbon dioxide under standard atmospheric pressure, and 22.4 is the standard molar volume constant of the gas. This represents the difference in carbon dioxide concentration at ppm. The Kelvin temperature of the grid in which the calculation area is located is obtained from satellite remote sensing data. The pressure used to acquire remote sensing data is 1013.25 atmospheres. Step S4, obtaining the carbon dioxide emissions of the calculation area based on the carbon dioxide concentration data and the volume of the calculation area, including: Once the area S of the grid containing the calculation region and the height H of the calculation region are determined, then... ,in, To calculate the carbon dioxide emissions of the accounting region; Step S5, obtaining the carbon emissions of the accounting area based on the carbon dioxide emissions, includes: pass The carbon emissions Ec of the accounting region are obtained. , where 12 is the relative atomic mass of carbon atom and 44 is the relative molecular mass of carbon dioxide.

2. A city carbon emission accounting system, characterized in that, include: The gridded carbon dioxide column concentration molar concentration calculation module grids the map data to obtain the carbon dioxide column concentration molar concentration data corresponding to each grid. The carbon dioxide concentration difference calculation module obtains the carbon dioxide concentration difference between the calculation area and its surrounding areas through carbon dioxide column concentration molar concentration data; The carbon dioxide concentration calculation module obtains the carbon dioxide concentration data of the accounting area based on the carbon dioxide concentration difference. The carbon dioxide emission calculation module calculates the carbon dioxide emissions of the calculation area based on the carbon dioxide concentration data and the volume of the calculation area; and The carbon emission calculation module calculates the carbon emission of the accounting area based on the carbon dioxide emission. Among them, the grid carbon dioxide column concentration molar concentration calculation module, namely Construct the calculation equation for the carbon dioxide column concentration molar concentration data Xco2, i.e. ； Where Nco2 is the number of carbon dioxide molecules, No2 is the number of oxygen molecules, and Z is the altitude. Nco2, No2, and Z are obtained from satellite remote sensing data. The carbon dioxide concentration difference calculation module, namely Determine the grid in which the accounting region is located, and record the carbon dioxide column molar concentration data of that grid as follows: The carbon dioxide column molar concentration data of other grids surrounding this grid are recorded as follows: ,but ,in, The difference in carbon dioxide concentration; The carbon dioxide concentration calculation module, namely Constructing a formula for calculating carbon dioxide concentration data ； in The carbon dioxide concentration data refers to M, where M is the molecular mass of carbon dioxide under standard atmospheric pressure, and 22.4 is the standard molar volume constant of the gas. This represents the difference in carbon dioxide concentration at ppm. The Kelvin temperature of the grid in which the calculation area is located is obtained from satellite remote sensing data. The pressure used to acquire remote sensing data is 1013.25 atmospheres; and The carbon dioxide emissions calculation module, i.e. Once the area S of the grid containing the calculation region and the height H of the calculation region are determined, then... ,in, To calculate the carbon dioxide emissions of the accounting region; and Carbon emission calculation module, i.e. pass The carbon emissions Ec of the accounting region are obtained. , where 12 is the relative atomic mass of carbon atom and 44 is the relative molecular mass of carbon dioxide.

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