A method for evaluating and analyzing regional carbon dioxide emissions

Abstract

The present invention discloses a method for evaluating and analyzing regional carbon dioxide emissions, and belongs to the technical field of carbon emission analysis. The present invention conducts macro-measurement and evaluation of regional carbon dioxide emissions. By analyzing the statistical data of energy consumption of various categories in the region in the past ten years, the development stage of carbon dioxide emissions in the region can be judged. Evaluation is conducted from multiple dimensions such as energy structure and carbon sink capacity, which helps to evaluate whether the carbon peak and carbon neutrality goals are achieved, and is beneficial to the improvement of emission reduction policies in the next stage.

Description

Technical Field

[0001] The invention belongs to the technical field of carbon emission analysis and relates to an evaluation and analysis method for regional carbon dioxide emissions. Background Art

[0002] Green economy is the trend of human development and has become a consensus of the whole world. At present, more and more countries are devoting themselves to the cause of "carbon peak" and "carbon neutrality". The so-called "carbon peak" means that the total annual carbon dioxide emissions reach a historical high in a certain period and gradually decrease after reaching the peak. When energy conservation and emission reduction are strictly implemented in a certain period, the carbon dioxide produced by human beings is offset by tree planting, carbon capture, carbon sequestration technology and other methods, and the net carbon dioxide emissions are zero, "carbon neutrality" is achieved. In order to achieve the goals of carbon peak and carbon neutrality, it is necessary to formulate clear emission reduction policies and strictly implement them. Analysis of the current status and trends of carbon emissions is one of the key methods for studying and formulating carbon peak plans.

[0003] At present, the accounting method of carbon emissions in my country generally adopts the material accounting method, and does not use the monitoring data of CEMS (flue gas online monitoring system) as a basis. However, for the EU, both the accounting method and the online monitoring method can be used. China has not yet issued standards and guidelines for online monitoring of carbon emissions. The relevant methodology is in the discussion and design stage, and there is no mature pilot project. Therefore, there are relatively few studies on the two types of carbon emission monitoring methods in the domestic academic community.

[0004] Although my country has widely applied CEMS to monitor air pollutants, the carbon emission monitoring system has not yet been widely used and is even in the initial stage of development. The number of domestic atmospheric background stations is relatively small, and the grid density is not high enough to judge the progress of carbon peak and carbon neutrality through direct measurement methods.

[0005] Therefore, analyzing and evaluating the carbon dioxide emissions in a specific region and determining the development stage of carbon dioxide emissions in that region are of great significance for the formulation of the next stage of emission reduction policies. Summary of the invention

[0006] The invention discloses an evaluation and analysis method for regional carbon dioxide emissions, which is simple and practical, has low cost, and can obtain evaluation results conveniently and quickly.

[0007] A method for evaluating and analyzing regional carbon dioxide emissions, characterized by comprising the following steps:

[0008] Step 1: Make a preliminary assessment of the energy structure to determine whether regional coal consumption accounts for more than or equal to 50% of the region’s primary energy consumption;

[0009] Step 2: If the proportion of regional coal consumption in the primary energy consumption in the region is greater than or equal to 50%, the carbon dioxide emissions E are calculated according to the statistical data of regional energy consumption. T , the results of nearly ten years are generated by year j (j = 1, 2, 3...10) to generate a digital set R s ;

[0010] Step 3: If the proportion of coal consumption in the primary energy consumption in the region is less than 50%, determine whether the proportion of non-fossil energy in the region is greater than 70%;

[0011] Step 4: If the proportion of regional non-fossil energy is greater than 70%, determine whether carbon neutrality has been achieved; compare the carbon sink M with the regional carbon dioxide emissions E T Make a comparison and generate the result R C ;

[0012] Step 5: If the proportion of non-fossil energy in a region is less than 70%, calculate the carbon dioxide emissions E according to the statistical data of energy consumption in the region. T , the results of nearly ten years generate a digital set R according to year j s ;

[0013] Step 6. Analyze the digital set Rs to obtain the median Q1 / 2 (ET), compare Q1 / 2 (ET) and carbon dioxide emissions ET10 to obtain the result of whether the carbon peak has been reached; analyze RC, compare M and E ET to obtain the result of whether carbon neutrality has been achieved.

[0014] A further improvement of the technical solution of the present invention is that the regional coal consumption in step one and step two includes four categories of coal, oil, gas and non-fossil energy consumption within the region, and purchased coal-fired electricity is converted according to coal.

[0015] A further improvement of the technical solution of the present invention is that the total amount of carbon dioxide emissions E T Including direct carbon dioxide emissions E generated by energy consumption in the region D and indirect carbon dioxide emissions from regional coal-fired power consumption E I ;

[0016] E T =E D +E I (1)

[0017]

[0018] AD i is the activity level of the ith fossil fuel, in million kilojoules;

[0019] EF iis the carbon dioxide emission factor of the i-th fossil fuel, in tCO2 / GJ;

[0020] i is the type of net fossil fuel consumption;

[0021] The activity level of the i-th fossil fuel is calculated according to formula (3):

[0022] AD i =NCV i ×FC i (3)

[0023] Where:

[0024] NCV i is the average lower calorific value of the ith fossil fuel, expressed in GJ / t for solid or liquid fuels and in GJ / Nm3 for gaseous fuels;

[0025] FC i is the net consumption of the ith fossil fuel, in tons (t) for solid or liquid fuels and in ten thousand cubic meters (Nm3) for gaseous fuels,

[0026] The carbon dioxide emission factor of fossil fuels is calculated according to formula (4):

[0027]

[0028] Where:

[0029] CC i is the carbon content per unit calorific value of the i-th fossil fuel, expressed in tons of carbon per million kilojoules (tC / GJ);

[0030] OF i is the carbon oxidation rate of the ith fossil fuel, in %,

[0031] E I =AD 电力 ×EF 电力 (5)

[0032] AD 电力 is the net electricity purchased, in megawatt-hours;

[0033] EF 电力 is the CO2 emission factor for electricity, expressed in tons CO2 / MWh.

[0034] A further improvement of the technical solution of the present invention is that the carbon sink M in step 4 includes the forest resource carbon storage TC F , CO2 absorption by marine macroalgae A and the amount of carbon fixed by marine cultured shellfish CB , Technical Carbon Sequestration Capacity TC T

[0035] M=TC F +C A +C B +TC T (6)

[0036] The further improvement of the technical solution of the present invention is that: the forest resource carbon reserve TC F The calculation formula of the expansion method is:

[0037] TC F =S i ×C i +α×S i ×C i +β×S i ×C i (7)

[0038] C i =V i ×δ×ρ×γ (8)

[0039] Where: TC F is the carbon storage of forest resources, g; including the carbon sequestration of trees, the carbon sequestration of understory plants and the carbon sequestration of forest land; S i is the area of ​​the i-th type of forest, C i is the carbon density of the i-th forest type, V i is the volume per unit area of ​​the i-th type of forest, α is the carbon conversion coefficient of understory plants, β is the carbon conversion coefficient of forest land, δ is the biomass expansion coefficient, ρ is the coefficient of biomass accumulation converted into biological dry matter mass, that is, bulk density; γ is the coefficient of converting biological dry matter mass into carbon fixation, that is, carbon content.

[0040] A further improvement of the technical solution of the present invention is that the carbon dioxide absorption capacity C of the macroalgae is A The formula for calculating the catch of farmed fish is as follows:

[0041] C A =3.67×W cw ×∑M (10)

[0042] Where: C A Indicates the CO2 absorption of macroalgae; W CW It represents the carbon content of algae under different algae dry weight conditions; M represents the dry weight of the algae culture variety; 3.67 is the conversion coefficient.

[0043] A further improvement of the technical solution of the present invention is that the carbon content C fixed by cultured shellfish B The calculation formula is as follows:

[0044] C B =C ST +C S (10)

[0045] C ST =P×R ST ×W C (11)

[0046] C S =P×R S ×W CS (13)

[0047] In formulas (10) to (12): C B represents the amount of carbon fixed by shellfish, C ST Indicates the carbon fixation in soft tissues, C S represents the carbon fixation in shells, P represents the shellfish production, R ST Indicates the dry mass ratio of soft tissue, W C Indicates the carbon content of soft tissue, R S Indicates the dry mass ratio of shells, W CS Indicates the carbon content of the shell.

[0048] A further improvement of the technical solution of the present invention is that: in step 6, the data set of the calculation results of carbon dioxide emissions for ten years is arranged in sequence according to the year to obtain the data set R S :

[0049] R s ={E T1 ,E T2 ,E T3 ,…E T10}

[0050] Arrange the 10 data in ascending order as R s ′={E T1 ′,E T2 ′,E T3 ′,…E T10 ′}

[0051] MedianQ 1 / 2 (E T )=1 / 2(E T5 ′+E T6 ′)

[0052] Trend judgment: ① If E T10 ≥Q 1 / 2 (E T ), there is an upward trend;

[0053] ②If E T10 <Q 1 / 2 (E T), there is a downward trend.

[0054] Due to the adoption of the above technical solution, the technical effects achieved by the present invention are as follows:

[0055] The evaluation system of the present invention provides a relatively clear judgment on the development stage of regional carbon dioxide emissions through macro-calculation and analysis methods. It is a simple, accurate and efficient evaluation system. This application conducts macro-calculation and evaluation of regional carbon dioxide emissions. By analyzing the statistical data of energy consumption of various categories in the region in the past ten years, it can determine the development stage of carbon dioxide emissions in the region. It evaluates from multiple dimensions such as power structure, energy structure, and carbon sink capacity, helps evaluate whether the carbon peak and carbon neutrality goals have been achieved, and is helpful for improving the emission reduction policy in the next stage. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a flow chart of a method for evaluating regional carbon dioxide emissions according to the present invention. DETAILED DESCRIPTION

[0057] A method for evaluating regional carbon dioxide emissions under the background of carbon peak and carbon neutrality goals includes the following steps:

[0058] Step 1: Make a preliminary judgment on the energy structure to determine whether the proportion of regional coal consumption in the region's primary energy consumption (including coal, oil, gas and non-fossil energy consumption in the region, and purchased coal-fired power is converted according to coal, the same below) is greater than or equal to 50%;

[0059] Step 2: If the proportion of regional coal consumption in the primary energy consumption in the region is greater than or equal to 50%, the carbon dioxide emissions E are calculated according to the statistical data of regional energy consumption. T , the results of nearly ten years are generated by year j (j = 1, 2, 3...10) to generate a digital set R s ;

[0060] Step 3: If the proportion of coal consumption in the primary energy consumption in the region is less than 50%, determine whether the proportion of non-fossil energy in the region is greater than 70%;

[0061] Step 4: If the proportion of regional non-fossil energy is greater than 70%, determine whether carbon neutrality has been achieved; the carbon sink includes the carbon sequestration capacity of forests and oceans, and the carbon sink M is divided into the regional carbon dioxide emissions E T Make a comparison and generate the result R C ;

[0062] Step 5: If the proportion of non-fossil energy in a region is less than 70%, calculate the carbon dioxide emissions E according to the statistical data of energy consumption in the region. T , the results of nearly ten years generate a digital set R according to year j s;

[0063] Step 6: Analyze the digital set Rs to obtain the median Q 1 / 2 (E T ), compare Q 1 / 2 (E T ) and the carbon dioxide emissions E T , and get the result of whether the carbon peak has been reached; R C Perform analysis and compare M and E T , get the result of whether it is carbon neutral;

[0064] Step 7: ① Coal consumption accounts for more than 50%, compare Q 1 / 2 (E T )>E T , Conclusion: Carbon peak has been achieved, otherwise it has not been achieved. ② Coal consumption accounts for less than 50%, non-fossil energy accounts for more than 70%, and M>E T , Conclusion: Carbon neutrality has been achieved, otherwise carbon neutrality has not been achieved.

[0065] 1. Main calculation methods and formulas

[0066] 1.1 Total CO2 emissions

[0067] Total carbon dioxide emissions E T Including direct carbon dioxide emissions E generated by energy consumption in the region D and indirect carbon dioxide emissions from regional coal-fired power consumption E I .

[0068] E T =E D +E I (1)

[0069]

[0070] AD i is the activity level of the ith fossil fuel, in million kilojoules (GJ);

[0071] EF i is the carbon dioxide emission factor of the i-th fossil fuel, in tCO2 / GJ;

[0072] i is the type of net fossil fuel consumption.

[0073] Activity level AD of the i-th fossil fuel i According to formula (3),

[0074] AD i =NCV i ×FC i (3)

[0075] Where:

[0076] NCV i is the average lower calorific value of the ith fossil fuel, expressed in million kilojoules per tonne (GJ / t) for solid or liquid fuels and million kilojoules per 10,000 cubic metres (GJ / 10,000 Nm3) for gaseous fuels. 3 );

[0077] FC i is the net consumption of the ith fossil fuel, in tons (t) for solid or liquid fuels and in ten thousand cubic meters (Nm3) for gaseous fuels. 3 ).

[0078] The carbon dioxide emission factor of fossil fuels is calculated according to formula (4):

[0079]

[0080] Where:

[0081] CC i is the carbon content per unit calorific value of the i-th fossil fuel, expressed in tons of carbon per million kilojoules (tC / GJ);

[0082] OF i is the carbon oxidation rate of the ith fossil fuel, in %.

[0083] E I =AD 电力 ×EF 电力 (5)

[0084] AD 电力 is the net electricity purchased, in megawatt-hours (MWh);

[0085] EF 电力 is the CO2 emission factor for electricity, expressed in tons of CO2 / MWh (tCO2 / MWh).

[0086] 1.2. The calculation formula of forest volume expansion method is:

[0087] TC F =S i ×C i +α×S i ×C i +β×S i ×C i (6)

[0088] C i =V i ×δ×ρ×γ (7)

[0089] Where: TCF is the carbon storage of forest resources, including the carbon sequestration of trees, understory plants and forest land; S i is the area of ​​the i-th type of forest, C i is the carbon density of the i-th forest type, V i is the volume per unit area of ​​the i-th type of forest, α is the carbon conversion coefficient of understory plants, β is the carbon conversion coefficient of forest land, δ is the biomass expansion coefficient, ρ is the coefficient of biomass accumulation converted into biological dry matter mass, that is, bulk density; γ is the coefficient of converting biological dry matter mass into carbon fixation, that is, carbon content.

[0090] 1.3. Carbon sequestration of macroalgae is estimated by calculating the catch of aquaculture as follows:

[0091] A=3.67×W cw ×∑M (8)

[0092] Where: A represents the CO2 absorption of cultivated algae (g), W CW Indicates the carbon content of algae under different algae dry weight conditions (%), M represents the dry weight of the algae culture variety (g), 3.67 is the conversion factor, taking 44 (molecular weight of CO2) / 12 (molecular weight of C)

[0093] 1.4 The calculation formula for carbon sink of aquaculture shellfish is as follows:

[0094] C B =C ST +C S (9)

[0095] C ST =P×R ST ×W C (10)

[0096] C S =P×R S ×W CS (11)

[0097] In formulas (9) to (11): C B represents the carbon fixed by shellfish (g), C ST represents the carbon fixation in soft tissue (g), C S represents the carbon fixation in shells (g), P represents the shellfish production (g), R ST Indicates the dry mass ratio of soft tissue (%), W C Indicates the carbon content of soft tissue (%), R S W represents the dry mass ratio of shells (%). CS Indicates the carbon content of shells (%).

[0098] The result sets of carbon dioxide emissions calculations for ten years are arranged in order by year to obtain the set R S :

[0099] R s ={E T1 ,E T2 ,E T3 ,…E T10}

[0100] Arrange the 10 data in ascending order as R s ′={E T1 ′,E T2 ′,E T3 ′,…E T10 ′}

[0101] median Q 1 / 2 (E T )=1 / 2(E T5 ′+E T6 ′)

[0102] Trend judgment: ① If E T10 >Q 1 / 2 (E T ), then R S There is an upward trend;

[0103] ②If E T10 1 / 2 (E T ), then R S There is a downward trend.

[0104] 2. Evaluation results

[0105] This evaluation system can determine the development stage of carbon dioxide emissions in a region based on the energy consumption statistics of the region in the past ten years. The main results are divided into the following three categories.

[0106] 2.1 Regional energy consumption is mainly coal consumption, and coal consumption accounts for more than 50% of total primary energy consumption. In this case, carbon dioxide emissions mainly come from fossil energy consumption. As a result, R S Mainly related to the carbon peak stage.

[0107] ①R S An upward trend: This indicates that the carbon dioxide emissions in this region are still on the rise and have not yet reached their peak. Special work on energy conservation and carbon reduction should be carried out as soon as possible.

[0108] ②R S The downward trend shows that the region has achieved its carbon peak and carbon dioxide emissions are already in a downward stage. It should continue to implement measures such as replacing a higher proportion of renewable energy and reducing coal consumption to move towards the goal of carbon neutrality. ​

[0109] 2.2 Regional coal consumption accounts for less than 50% of total primary energy consumption, but non-fossil energy consumption accounts for less than 70%. In this case, carbon dioxide emissions mainly come from fossil energy consumption such as oil and gas. S Mainly related to the carbon peak stage.

[0110] ①R S An upward trend: This indicates that the carbon dioxide emissions in this region are still on the rise, and special work on energy conservation and carbon reduction should be carried out as soon as possible to achieve carbon peak as soon as possible.

[0111] ②R S The downward trend indicates that the region's carbon dioxide emissions are already in a downward stage, and measures such as replacing carbon with a higher proportion of renewable energy and reducing fossil energy consumption should continue to be implemented to move towards the goal of carbon neutrality.

[0112] 2.3 Regional energy consumption is dominated by non-fossil energy, and non-fossil energy consumption accounts for more than 70% of total primary energy consumption. In this case, carbon dioxide emissions from fossil energy consumption in the region have been effectively controlled. C Used to determine whether the carbon neutrality stage has been achieved.

[0113] ① The carbon emissions are less than or equal to the carbon sequestration by carbon sinks, and the region has achieved the carbon neutrality goal.

[0114] ② Carbon emissions are greater than carbon sequestration in carbon sinks, and the region has not achieved carbon neutrality. It is recommended that further research and analysis be conducted in conjunction with the carbon trading market to improve carbon sink capacity and deepen energy conservation and carbon reduction measures.

[0115] Example 1

[0116] Main calculation coefficients of energy consumption

[0117]

[0118] The main calculation results of energy consumption are as follows:

[0119]

[0120]

[0121] In a certain inland area, the total energy consumption in the study year (j=10) was 25.5 million tons of standard coal, of which coal consumption accounted for 85.3%, oil consumption accounted for 11.5%, natural gas consumption accounted for 2.6%, and non-fossil energy consumption accounted for 0.6%.

[0122] The evaluation result is: coal consumption in the region accounts for 85.3%, which is greater than 50%, and it is necessary to calculate the carbon dioxide emissions in the past decade.

[0123] After calculation, the carbon dioxide emissions E in the study year (j = 10) T10 63 million tons, with a median of Q1 / 2 (E T )=6500. Because E T10 <Q1 / 2(E T ), so Rs is on a downward trend and the region has achieved its carbon peak target.

[0124] Next recommendations: The region has achieved its carbon peak target, but the peak value is high and the carbon emission base is large. In the next stage, it is necessary to study and formulate deep carbon reduction measures.

[0125] Example 2

[0126]

[0127]

[0128] In a certain coastal area, the total energy consumption in the study year (j=10) was 19 million tons, of which coal consumption accounted for 6.4%, oil consumption 7.7%, natural gas consumption 0.4%, and non-fossil energy consumption 80.7%.

[0129] The evaluation results are: coal consumption in the region accounts for 6.4%, which is less than 50%, and it is necessary to judge the proportion of non-fossil energy consumption; non-fossil energy consumption in the region accounts for 80.7%, which meets the "greater than or equal to 70%" condition, and it is necessary to calculate the carbon sequestration of forests and ocean carbon sinks in the region.

[0130] According to calculations, the region has an annual carbon sequestration capacity of 800,000 tons and carbon emissions of 5.9 million tons. T >M, so the region has not yet achieved its carbon neutrality goal.

[0131] Next recommendations: The region is close to the carbon neutrality target, but the region’s carbon sequestration capacity is significantly insufficient compared to its carbon emissions. In the next stage, on the one hand, it is necessary to enhance carbon sequestration capacity and combine the carbon trading market to offset carbon emissions. On the other hand, it is necessary to study and formulate deep carbon reduction measures.

Claims

1. A method for evaluating and analyzing regional carbon dioxide emissions, characterized in that The following steps are involved: Step 1: Make a preliminary assessment of the energy structure to determine whether regional coal consumption accounts for more than or equal to 50% of the region’s primary energy consumption; Step 2: If the proportion of regional coal consumption in the primary energy consumption in the region is greater than or equal to 50%, the carbon dioxide emissions E are calculated according to the statistical data of regional energy consumption. T , the results of nearly ten years generate a digital set R according to year j s , j = 1, 2, 3…10; Carbon dioxide emissions T Including direct carbon dioxide emissions E generated by energy consumption in the region D and indirect carbon dioxide emissions from regional coal-fired power consumption E I ; AND T =And D +E I (1) AD i is the activity level of the ith fossil fuel, in million kilojoules; EF i is the carbon dioxide emission factor of the i-th fossil fuel, in tCO2 / GJ; i is the type of net fossil fuel consumption; The activity level of the i-th fossil fuel is calculated according to formula (3): AD i =NCV i ×FC i (3) Where: NCV i is the average lower calorific value of the ith fossil fuel, expressed in million kilojoules per tonne for solid or liquid fuels; For gaseous fuel, the unit is million kilojoules / 10,000 cubic meters; FC i is the net consumption of the ith fossil fuel, expressed in tons for solid or liquid fuels and in 10,000 cubic meters for gaseous fuels. The carbon dioxide emission factor of fossil fuels is calculated according to formula (4): Where: CC i is the carbon content per unit calorific value of the i-th fossil fuel, in tons of carbon / million kilojoules; OF i is the carbon oxidation rate of the ith fossil fuel, in %, AND I =AD 电力 ×EF 电力 (5) AD 电力 is the net electricity purchased, in megawatt-hours; EF 电力 is the CO2 emission factor for electricity, in tons CO2 / MWh; Step 3: If the proportion of coal consumption in the primary energy consumption in the region is less than 50%, determine whether the proportion of non-fossil energy in the region is greater than 70%; Step 4: If the proportion of regional non-fossil energy is greater than 70%, determine whether carbon neutrality has been achieved; compare the carbon sink M with the regional carbon dioxide emissions E T Make a comparison and generate the result R C ; Step 5: If the proportion of non-fossil energy in a region is less than 70%, calculate the carbon dioxide emissions E according to the statistical data of energy consumption in the region. T , the results of nearly ten years generate a digital set R according to year j s ; Step 6: Analyze the digital set Rs to obtain the median Q 1 / 2 (E T ), compare Q 1 / 2 (E T ) and carbon dioxide emissions E T10 , and get the result of whether the carbon peak has been reached; R C Perform analysis and compare M and E T , and get the result of whether it is carbon neutral.

2. The method for evaluating and analyzing regional carbon dioxide emissions according to claim 1, characterized in that: The regional coal consumption in steps one and two includes four categories of consumption: coal, oil, gas and non-fossil energy within the region. Purchased coal-fired electricity is converted according to coal.

3. The method for evaluating and analyzing regional carbon dioxide emissions according to claim 1, characterized in that: The carbon sink M in step 4 includes the forest resource carbon stock TC F , CO2 absorption by marine macroalgae A and the amount of carbon fixed by marine cultured shellfish C B , Technical Carbon Sequestration Capacity TC T , M=TC F +C A +C B +TC T (6) 。 4. The method for evaluating and analyzing regional carbon dioxide emissions according to claim 3, characterized in that: Forest resource carbon storage TC F The calculation formula of the expansion method is: TC F =S i ×C i +α×S i ×C i +β×S i ×C i (7) C i =V i ×δ×ρ×γ (8) Where: TC F is the carbon storage of forest resources, g; including the carbon sequestration of trees, the carbon sequestration of understory plants and the carbon sequestration of forest land; S i is the area of ​​the i-th type of forest, C i is the carbon density of the i-th forest type, V i is the volume per unit area of ​​the i-th type of forest, α is the carbon conversion coefficient of understory plants, β is the carbon conversion coefficient of forest land, δ is the biomass expansion coefficient, ρ is the coefficient of biomass accumulation converted into biological dry matter mass, that is, bulk density; γ is the coefficient of converting biological dry matter mass into carbon fixation, that is, carbon content.

5. The method for evaluating and analyzing regional carbon dioxide emissions according to claim 3, characterized in that: Carbon dioxide absorption by macroalgae A The formula for calculating the catch of farmed fish is as follows: C A =3.67×W cw ×∑M (9) Where: C A Indicates the CO2 absorption of macroalgae; W CW It represents the carbon content of algae under different algae dry weight conditions; M represents the dry weight of the algae culture variety; 3.67 is the conversion coefficient.

6. The method for evaluating and analyzing regional carbon dioxide emissions according to claim 3, characterized in that: Carbon fixed by cultured shellfish B The calculation formula is as follows: C B =C ST +C S (10) C ST =P×R ST ×W C (11) C S =P×R S ×W CS (12) In formulas (10) to (12): C B represents the amount of carbon fixed by shellfish, C ST Indicates the carbon fixation in soft tissues, C S represents the carbon fixation in shells, P represents the shellfish production, R ST Indicates the dry mass ratio of soft tissue, W C Indicates the carbon content of soft tissue, R S Indicates the dry mass ratio of shells, W CS Indicates the carbon content of the shell.

7. The method for evaluating and analyzing regional carbon dioxide emissions according to claim 1, characterized in that: In step 6, the result sets of carbon dioxide emissions calculations for ten years are arranged in order by year to obtain the set R S : R s ={And T1 ,AND T2 ,AND T3 ,...AND T10 } Arrange the 10 data in ascending order as R s ′={E T1 ′,E T2 ′,E T3 ′, ... E T10 ′} Median Q 1 / 2 (E T )=1 / 2(E T5 ′+E T6 ') Trend judgment: ① If E T10 ≥Q 1 / 2 (E T ), there is an upward trend; ②If E T10 <Q 1 / 2 (E T ), there is a downward trend.

Images