Loss income calculation method based on large algae deposition carbon sequestration and electronic equipment

Abstract

The invention discloses a loss income calculation method based on large algae deposition carbon sequestration and electronic equipment. The method comprises the following steps: indirectly estimating the harvesting cost of each kilogram of large algae through the production cost of each kilogram of fishery; according to the harvesting cost of the big algae per kilogram and the annual yield of the big algae, constructing a cost model of the big algae deposition carbon sequestration loss income; the direct economic value model of the large algae deposition carbon sequestration loss income is quantitatively represented through the large algae output value; according to the cost model and the direct economic value model, constructing a large algae deposition carbon sequestration profit and loss accounting model; constructing an objective function and constraint conditions according to industry profit equilibrium conditions, and solving the large algae deposition carbon sequestration profit and loss accounting model to obtain optimal parameters; and carrying out loss income calculation by using the big algae deposition carbon sequestration profit and loss accounting model with the optimal parameters.

Description

Technical Field

[0001] The present application relates to the field of ecological carbon sink technology, and in particular to a loss-benefit calculation method and electronic equipment based on carbon sequestration by macroalgae deposition. Background Art

[0002] Achieving a balanced carbon budget requires a diverse range of carbon sequestration technologies. Currently, mainstream carbon sequestration technologies can be categorized into two categories: emission reduction technologies and negative emission technologies. Emission reduction technologies include energy substitution and industrial and transportation decarbonization. Negative emission technologies include bioenergy with carbon capture and storage (BECCS), direct air carbon capture and storage (DACS), and ecological carbon sinks.

[0003] Energy substitution refers to replacing fossil energy with renewable energy such as photovoltaics and wind power, but faces intermittent power supply and land resource constraints; industrial decarbonization refers to transforming high-carbon processes through hydrogen-based steelmaking, cement carbon capture, etc., but there are cost barriers; biomass energy-carbon capture and storage (BECCS) refers to relying on biomass combustion combined with carbon capture, but occupies arable land; direct air carbon capture and storage (DACS) refers to directly capturing CO2 from the atmosphere and storing or utilizing it, but is subject to high energy consumption and cost bottlenecks of thousands of dollars; in contrast, ecological carbon sinks refer to carbon sequestration based on ecosystems such as mangroves and large algae, which has the advantages of zero energy consumption, low cost, efficient land use and biodiversity gain.

[0004] Different carbon storage technologies, due to their varying characteristics and application scenarios, require tailored cost accounting methods to assess the economic feasibility of different blue carbon pathways. Emission reduction technologies, based on the levelized cost of energy (LCOE) and life cycle assessment (LCA) frameworks, can accurately quantify explicit costs such as photovoltaic module investment and green hydrogen premiums. However, the heterogeneity of negative emissions technologies has led to fragmented accounting methodologies, necessitating breakthroughs in cross-regional data comparability and methodological uniformity.

[0005] Existing studies have evaluated the ecological functions and value of seaweed, including water purification, carbon sequestration and oxygen release, heavy metal absorption, and habitat provision, drawing on methods used to assess the value of terrestrial plant resources. However, these assessments primarily focus on quantifying historical cumulative ecological value and do not include projections for future scenarios. In particular, they do not quantify the direct economic value of long-term carbon sequestration losses from macroalgal deposition through 2060. Summary of the Invention

[0006] In view of this, embodiments of the present application provide a method and electronic device for calculating the loss and gain of carbon fixation based on macroalgae deposition.

[0007] According to a first aspect of an embodiment of the present application, a method for constructing a loss-benefit accounting model based on carbon sequestration by macroalgae is provided, comprising: The cost per kilogram of harvesting macroalgae was indirectly estimated through the production cost per kilogram of fisheries; Based on the harvesting cost per kilogram of macroalgae and the annual output of macroalgae, a cost model for the loss of carbon sequestration from macroalgae deposition was constructed. The cost model has the following model assumptions: Model Assumption 1: There is a strict linear relationship between the harvesting cost per kilogram of the i-th macroalgae and the production cost per kilogram of fisheries; Model Assumption 2: The macroalgae aquaculture industry exhibits constant returns to scale during the observation period; A direct economic value model that quantifies the loss of carbon sequestration by macroalgae through macroalgae production value; Based on the cost model and direct economic value model, a model for calculating the loss and benefit of carbon sequestration by macroalgae deposition is constructed; An objective function and constraint conditions are constructed, and the macroalgae deposition carbon fixation loss benefit accounting model is solved to obtain the macroalgae deposition carbon fixation loss benefit accounting model with optimal parameters.

[0008] According to a second aspect of an embodiment of the present application, a method for calculating the loss and benefit of carbon sequestration based on macroalgae deposition is provided, comprising: Constructing a macroalgae sedimentation carbon sequestration loss benefit accounting model with optimal parameters using the construction method described in the first aspect; The loss benefit of carbon sequestration by macroalgae deposition is calculated using a macroalgae deposition carbon sequestration loss benefit accounting model with optimal parameters.

[0009] According to a third aspect of the embodiments of the present application, there is provided an electronic device, including: one or more processors; a memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in the first aspect or the second aspect.

[0010] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which computer instructions are stored. When the instructions are executed by a processor, the steps of the method described in the first aspect or the second aspect are implemented.

[0011] The technical solutions provided by the embodiments of the present application may have the following beneficial effects: First, it represents an innovative breakthrough in cost estimation methods. Existing technology and data cannot directly quantify the cost of kelp harvesting, and traditional methods are susceptible to data fragmentation in the industry. This paper innovatively proposes the "fishery cost analogy method" (Formula 1). By establishing a strict linear proportional relationship between kelp and fishery costs (model assumption 1), this method maps the composite structure of fixed costs (fixed asset depreciation, taxes) and variable costs (feed, fuel, and labor) to kelp farming, enabling indirect cost estimation. The mathematical rigor of this method is demonstrated by standardizing total fishery output nationwide to eliminate the impact of regional production scale differences on costs.

[0012] Second, the global optimization of dynamic economic systems. To address the uncertainty of the long-term development of the macroalgae industry, this paper pioneers a "dual dynamic coupling model": 1. A dynamic pricing mechanism based on CAGR (Formula 4) captures market price fluctuations through time trend extrapolation; 2. A constrained optimization framework (objective function + four-dimensional constraints) ensures both industry profitability and sustainability.

[0013] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0015] Figure 1 The present invention is a flowchart of a method for constructing a loss-benefit accounting model based on carbon sequestration by macroalgae according to an exemplary embodiment.

[0016] Figure 2 The present invention is a flowchart showing a method for calculating loss benefits based on carbon sequestration by macroalgae according to an exemplary embodiment.

[0017] Figure 3 FIG. 1 is a linear regression graph showing the production cost per kilogram of fishery (a) and the yield of macroalgae by-products (b), according to an exemplary embodiment. FIG.

[0018] Figure 4 The figure is a schematic structural diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0019] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0020] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. As used in this application and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0021] It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0022] Glossary: Macroalgae carbon sequestration: A form of carbon sink, macroalgae convert CO2 and dissolved inorganic carbon (DIC) in seawater into dissolved organic carbon (DOC) and particulate organic carbon (POC) through photosynthesis. This is then converted into highly bioinert, recalcitrant dissolved organic carbon (RDOC) through the microbial carbon pump (MCP) mechanism. This carbon can be stored in seawater for long periods, forming a stable, inert dissolved carbon pool within the aquaculture carbon sink. Existing research indicates that even with the most aggressive emission reduction measures, China will still have an annual "residual emissions gap" of approximately 1.5–3.0 Gt of CO2, which will require negative emissions technologies to offset.

[0023] Existing studies have evaluated the ecological functions and value of seaweed, including water purification, carbon sequestration and oxygen release, heavy metal absorption, and habitat provision, drawing on methods for assessing the value of terrestrial plant resources. However, these assessments primarily focus on quantifying historical cumulative ecological value and do not include projections for future scenarios. In particular, they do not quantify the direct economic value of long-term carbon sequestration losses from macroalgal deposition through 2060. This study proposes a method for calculating the loss-benefit of carbon sequestration from macroalgal deposition for the first time, aiming to quantify and project the loss-benefit of carbon sequestration from macroalgal deposition through 2060, addressing this research gap.

[0024] Figure 1 This is a flow chart showing a method for constructing a loss-benefit accounting model based on macroalgae carbon sequestration according to an exemplary embodiment. Figure 1 As shown, the method may include the following steps: S1: Indirect estimation of the harvesting cost per kilogram of macroalgae through the production cost per kilogram of fisheries; Specifically, considering that the cost structure of macroalgae farming is the same as that of fishery farming, the production cost per kilogram of fishery is indirectly estimated using the following formula: (1) In the formula is the harvesting cost per kilogram of macroalgae i in year t; and are the fixed cost and variable cost of fishery production in year t; is the total output of fishery products in year t, including five types of aquatic products: fish, shellfish, crustaceans, macroalgae, and others, both farmed and caught; is the ratio coefficient of the harvest cost per kilogram of macroalgae i to the production cost per kilogram of fishery; is the error term.

[0025] The fixed costs may include depreciation of fishery fixed assets and fishery taxes and fees; variable costs may include feed and seed costs, fuel and ice costs, employee wages and other expenses.

[0026] S2: Constructing a cost model for the loss of carbon sequestration due to macroalgae deposition based on the harvesting cost per kilogram of the macroalgae and the annual output of the macroalgae; Specifically, the cost of macroalgae cultivation is numerically equal to the product of the harvest cost per kilogram and the yield, as shown in the following formula: (2) In the formula Refers to the total cost of macroalgae cultivation in year t, unit (yuan); Refers to the harvesting cost per kilogram of the i-th macroalgae in year t, unit (yuan / kg); Refers to the yield of the i-th species of macroalgae in year t, unit (kg).

[0027] The cost model for the lost benefits of carbon sequestration from macroalgae deposition is as follows: (3) In the formula Refers to the total cost of macroalgae cultivation in year t; and are the fixed cost and variable cost of fishery production in year t; is the total output of fishery products in year t; is the ratio coefficient of the harvest cost per kilogram of macroalgae i to the production cost per kilogram of fishery; is the error term; It refers to the production of the i-th macroalgae in year t; I represents the collection of macroalgae; i represents different macroalgae species, and is calculated separately for different species.

[0028] The model has the following assumptions: Model Assumption 1: There is a strict linear relationship between the harvesting cost per kilogram of macroalgae i and the production cost per kilogram of fishery, that is, , .

[0029] Model Assumption 2: The macroalgae aquaculture industry will exhibit constant returns to scale (CRS) characteristics during the observation period (2025-2060), that is, the unit production cost will not decrease significantly with the expansion of production scale.

[0030] S3: A direct economic value model to quantify the carbon sequestration loss benefits of macroalgae deposition through macroalgae production value; Specifically, according to the National Bureau of Statistics' calculation standards, the total output value can be calculated by multiplying the output of the product and its by-products by the sales price (excluding tax) of the unit product / by-product. Therefore, the direct economic value of macroalgae (total output value) ) is composed of the sales revenue of main and by-products. The expression of the direct economic value model is as follows: (4) In the formula is the total output value; It refers to the production of the i-th macroalgae in year t; is the selling price of the i-th macroalgae in year t; is the by-product yield of macroalgae i in year t; is the price premium of macroalgae by-products compared to primary products; Adopt a dynamic pricing mechanism based on time trends: (5) In the formula is the selling price of the i-th macroalgae in the base year; t represents the end year, and t0 represents the base year; is the average annual growth rate of the selling price of algae products, calculated using the compound annual growth rate (CAGR), i.e. , is the end-of-year selling price, is the time span (number of years).

[0031] S4: Based on the cost model and direct economic value model, a macroalgae deposition carbon sequestration loss benefit accounting model is constructed; Specifically, based on the cost model and direct economic value model obtained above, a macroalgae deposition carbon sequestration loss benefit accounting model R is constructed, which is expressed as follows: (6) Where, It refers to the production of the i-th macroalgae in year t; is the selling price of the i-th macroalgae in year t; is the by-product yield of macroalgae i in year t; is the price premium of macroalgae by-products compared to primary products; and are the fixed cost and variable cost of fishery production in year t; is the total output of fishery products in year t; is the ratio coefficient of the harvest cost per kilogram of macroalgae i to the production cost per kilogram of fishery; is the error term; I represents the collection of macroalgae.

[0032] S5: constructing an objective function and constraint conditions, solving the macroalgae deposition carbon sequestration loss benefit accounting model, and obtaining the macroalgae deposition carbon sequestration loss benefit accounting model with optimal parameters; Specifically, the objective function is: (7) is the ratio coefficient of the harvest cost per kilogram of macroalgae i to the production cost per kilogram of fishery; The theoretical benchmark ratio.

[0033] The constraints are: (1) Industry profit equilibrium condition: net profit margin is between 10% and 15%. Refers to the market price of macroalgae in year i, RMB / kg. ; (2) The total annual income from all macroalgae main and by-products is greater than the expenditure: ; (3) The linear relationship between the harvest cost per kilogram of macroalgae aquaculture and the production cost per kilogram of the entire fishery, that is, ,when hour, , is the ratio of total national fishery expenditure to national aquatic product output, in yuan / kg; (4) Cost is lower than selling price: .

[0034] This application solves the optimal proportional coefficient by constructing a constrained optimization framework , so that the coefficient meets the industry profit equilibrium condition, and finally a macroalgae deposition carbon fixation loss benefit accounting model with optimal parameters based on net profit margin and dynamic pricing is established.

[0035] Figure 2 This is a flow chart showing a method for calculating the loss and benefit of carbon sequestration based on macroalgae deposition according to an exemplary embodiment. Figure 2 , the method may include: A1: Construct a macroalgae sedimentation carbon sequestration loss and benefit accounting model with optimal parameters using the above construction method; The model construction method refers to S1-S5 above and will not be described in detail here.

[0036] A2: Use the macroalgae deposition carbon sequestration loss benefit accounting model with optimal parameters to calculate the macroalgae deposition carbon sequestration loss benefit.

[0037] Table 1 Data and parameter sources;

[0038] Note: All yield data mentioned in this application refer to the dry weight of macroalgae.

[0039] According to the "China Fisheries Yearbook," processed macroalgae by-products refer specifically to standardized preserved foods produced using commercial macroalgae as raw materials, including but not limited to shelf-stable, ready-to-eat products such as kelp knots, roasted laver, and seasoned wakame. The macroalgae by-product statistics for this application are specifically limited to the three main economic macroalgae types: kelp, laver, and wakame.

[0040] The prices of the main macroalgae products are based on the annual average transaction price of general import and export trade, data from the General Administration of Customs of China. The prices of by-products are collected from local Chinese e-commerce platforms, with historical sales data collected from stores with the highest sales volume. The price premium ratio between the main product (dry weight economic macroalgae) and the processed by-products (dried kelp knots, roasted laver, and seasoned wakame) was set at γ = 0.31 to 2.06. Specific reference values are shown in Table 2.

[0041] The output value calculated in this application only includes the sales revenue of macroalgae as primary agricultural and sideline products, and does not include the added value of subsequent processing.

[0042] Table 2 Price premium ratio of major algae main and by-products Reference value table;

[0043] The production data of macroalgae byproducts were obtained from the continuous observation records of the Fisheries Yearbook from 2003 to 2023. Since the existing statistical system does not distinguish between species of macroalgae byproducts, the annual production of each macroalgae species is allocated to the economic accounting of each macroalgae species according to the ratio of annual production to total production. The calculation results are shown in Table 3 and the fitting diagram is shown in Figure 3. Figure 3 As shown in (a) in .

[0044] The national fishery production cost per kilogram data is derived from the official records of the China Fisheries Yearbook for 26 consecutive years from 1998 to 2023. The study used linear regression to analyze the historical data, and the model fitting coefficient of determination R 2 Based on this regression model, the unit production cost of fisheries in China during 2025–2060 is predicted, and the fitting diagram is shown in Figure 3 (b) in the figure, the data are shown in Table 3.

[0045] Table 3 Calculation results of the macroalgae sedimentation carbon sequestration loss benefit model;

[0046] This invention addresses two core challenges in the economic accounting of algae carbon sequestration by modeling the lost and gained carbon sequestration from algae deposition. First, it innovates cost estimation methods. Existing technology and data cannot directly quantify the cost of algae harvesting, and traditional methods are susceptible to data fragmentation in the industry. This invention proposes a "fishery cost analogy method" (Formula 1). By establishing a strict linear proportional relationship between algae and fishery costs (model assumption 1), this method maps the composite structure of fixed costs (fixed asset depreciation + taxes) and variable costs (feed, fuel, labor, etc.) onto algae cultivation to estimate indirect costs. The mathematical rigor of this method is demonstrated by standardizing total fishery output nationwide to eliminate the impact of regional production scale differences on costs.

[0047] Second, the global optimization of dynamic economic systems. To address the uncertainty of the long-term development of the macroalgae industry, this paper proposes a "dual dynamic coupling model": ① A dynamic pricing mechanism based on CAGR (Formula 4) captures market price fluctuations through time trend extrapolation; ② A constrained optimization framework (objective function + four-dimensional constraints) ensures both industry profitability and sustainability.

[0048] Accordingly, the present application also provides an electronic device, comprising: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned method for constructing a loss-benefit accounting model based on macroalgae deposition and carbon fixation or the method for calculating loss-benefit based on macroalgae deposition and carbon fixation. Figure 4 As shown in the figure, a hardware structure diagram of any device with data processing capability is provided for a method for constructing a loss-benefit accounting model based on macroalgae deposition and carbon fixation or a method for calculating loss-benefit based on macroalgae deposition and carbon fixation according to an embodiment of the present invention, except Figure 4In addition to the processor and memory shown, any device with data processing capabilities in which the apparatus in the embodiment is located may also include other hardware according to the actual functions of the device with data processing capabilities, which will not be described in detail.

[0049] Accordingly, the present application also provides a computer-readable storage medium having computer instructions stored thereon. When executed by a processor, these instructions implement the aforementioned method for constructing a loss-benefit accounting model based on macroalgae carbon sequestration or the method for calculating loss-benefit based on macroalgae carbon sequestration. The computer-readable storage medium may be an internal storage unit of any device with data processing capabilities described in any of the aforementioned embodiments, such as a hard disk or memory. The computer-readable storage medium may also be an external storage device, such as a plug-in hard disk, SmartMedia Card (SMC), SD card, or flash memory card equipped on the device. Furthermore, the computer-readable storage medium may include both an internal storage unit and an external storage device of any device with data processing capabilities. The computer-readable storage medium is used to store the computer program and other programs and data required by any device with data processing capabilities, and may also be used to temporarily store data that has been output or is to be output.

[0050] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the contents disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of the present application and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered merely as exemplary, and the true scope and spirit of the present application are indicated by the claims.

[0051] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for constructing a loss-benefit accounting model based on macroalgae carbon sequestration, characterized in that: include: The cost per kilogram of harvesting macroalgae was indirectly estimated through the production cost per kilogram of fisheries; Based on the harvesting cost per kilogram of macroalgae and the annual output of macroalgae, a cost model for the loss of carbon sequestration from macroalgae deposition was constructed. The cost model has the following model assumptions: Model Assumption 1: There is a strict linear relationship between the harvesting cost per kilogram of the i-th macroalgae and the production cost per kilogram of fisheries; Model Assumption 2: The macroalgae aquaculture industry exhibits constant returns to scale during the observation period; A direct economic value model that quantifies the loss of carbon sequestration by macroalgae through macroalgae production value; Based on the cost model and direct economic value model, a model for calculating the loss and benefit of carbon sequestration by macroalgae deposition is constructed; An objective function and constraint conditions are constructed, and the macroalgae deposition carbon fixation loss benefit accounting model is solved to obtain the macroalgae deposition carbon fixation loss benefit accounting model with optimal parameters.

2. The method according to claim 1, characterized in that The formula for indirectly estimating the harvesting cost per kilogram of macroalgae through the production cost per kilogram of fisheries is as follows: ； In the formula is the harvesting cost per kilogram of macroalgae i in year t; and are the fixed cost and variable cost of fishery production in year t; is the total output of fishery products in year t; is the ratio coefficient of the harvest cost per kilogram of macroalgae i to the production cost per kilogram of fishery; is the error term.

3. The method according to claim 1, characterized in that The cost model of the loss of carbon sequestration by macroalgae is expressed as follows: ； In the formula Refers to the total cost of macroalgae cultivation in year t; and are the fixed cost and variable cost of fishery production in year t; is the total output of fishery products in year t; is the ratio coefficient of the harvest cost per kilogram of macroalgae i to the production cost per kilogram of fishery; is the error term; It refers to the yield of the i-th macroalgae in year t; I represents the collection of macroalgae.

4. The method according to claim 1, wherein The direct economic value model is expressed as follows: ； In the formula is the total output value; It refers to the production of the i-th macroalgae in year t; is the selling price of the i-th macroalgae in year t; is the by-product yield of macroalgae i in year t; is the price premium of macroalgae by-products compared to primary products; Adopt a dynamic pricing mechanism based on time trends: ； In the formula is the selling price of the i-th macroalgae in the base year; t represents the ending year, and t0 represents the base year; is the average annual growth rate of the selling price of algae products, , is the ending year selling price; It is the time span.

5. The method according to claim 1, wherein The expression of the macroalgae deposition carbon sequestration loss benefit accounting model R is as follows: ； Where, It refers to the production of the i-th macroalgae in year t; is the selling price of the i-th macroalgae in year t; is the by-product yield of macroalgae i in year t; is the price premium of macroalgae by-products compared to primary products; and are the fixed cost and variable cost of fishery production in year t; is the total output of fishery products in year t; is the ratio coefficient of the harvest cost per kilogram of macroalgae i to the production cost per kilogram of fishery; is the error term; I represents the collection of macroalgae.

6. The method according to claim 5, characterized in that The objective function is: ； is the ratio coefficient of the harvest cost per kilogram of macroalgae i to the production cost per kilogram of fishery; The theoretical benchmark ratio.

7. The method according to claim 5, characterized in that The constraints are: (1) Industry profit equilibrium condition: net profit margin is between 10% and 15%, that is, ； (2) The total annual income from all macroalgae main and by-products is greater than the expenditure: ； (3) The linear relationship between the harvest cost per kilogram of macroalgae aquaculture and the production cost per kilogram of the entire fishery, that is, ,when hour, , It is the ratio of total national fishery expenditure to national aquatic product output; (4) Cost is lower than selling price: .

8. A method for calculating the loss and gain of carbon sequestration based on macroalgae deposition, characterized in that: include: Constructing a macroalgae sedimentation carbon sequestration loss benefit accounting model with optimal parameters by the construction method of claim 1; The loss benefit of carbon sequestration by macroalgae deposition is calculated using a macroalgae deposition carbon sequestration loss benefit accounting model with optimal parameters.

9. An electronic device, characterized in that: include: one or more processors; a memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 8.

10. A computer-readable storage medium having computer instructions stored thereon, characterized in that: When the instruction is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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