Accounting method for carbon sequestration and emission reduction of soil

Abstract

The invention discloses an accounting method for carbon sequestration and emission reduction of soil. The accounting method comprises the following steps: S1, acquiring the average soil temperature # imgabs0 # average soil humidity # imgabs1 # average soil acidity and alkalinity # imgabs2 # average soil microbe number # imgabs3 # average soil microbe activity # imgabs4 # average environment temperature # imgabs5 # average environment humidity # imgabs6 # S2 of selected type soil from a moment t to a moment t + delta t; inputting the average soil temperature # imgabs7 #, the average soil humidity # imgabs8 #, the average soil acidity and alkalinity # imgabs9 #, the average soil microbe number # imgabs10 #, the average soil microbe activity # imgabs11 #, the average environment temperature # imgabs12 #, the average environment humidity # imgabs13 # and the soil type of the selected type of soil into a trained soil carbon sequestration emission reduction amount accounting model; and obtaining the carbon sequestration amount and greenhouse gas emission reduction amount of the selected type of soil. The method can quickly and accurately reflect the actual carbon sequestration and emission reduction conditions of the soil.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon sequestration and emission reduction, and more specifically, to a method for calculating the carbon sequestration and emission reduction amount of soil. Background Art

[0002] When studying the mechanism of soil carbon sequestration and emission reduction and evaluating the effects of related measures, laboratory simulation tests are of great significance. By simulating the carbon sequestration and emission reduction process of soil under different environmental conditions, the internal laws of soil carbon cycling can be deeply understood. However, there are many limitations in the existing laboratory simulation tests. On the one hand, it is difficult for the simulation device to accurately control various environmental factors, such as temperature, humidity, gas composition, etc., resulting in a large difference between the simulated soil environment and the actual field situation, which affects the accuracy of the test results. On the other hand, the function of the detection device is relatively single, and it is impossible to comprehensively detect multiple key indicators affecting soil carbon sequestration and emission reduction at the same time.

[0003] In addition, the existing method for calculating the carbon sequestration and emission reduction amount of soil based on the laboratory simulation detection device can neither accurately reflect the actual carbon sequestration and emission reduction situation of the soil nor has a high calculation efficiency.

[0004] Therefore, how to provide a new method for calculating the carbon sequestration and emission reduction amount of soil based on the laboratory simulation detection device, which can quickly and accurately reflect the actual carbon sequestration and emission reduction situation of the soil, is an urgent problem to be solved by those skilled in the art. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a method for calculating the carbon sequestration and emission reduction amount of soil.

[0006] To achieve the above purpose, the present invention adopts the following technical solutions:

[0007] A method for calculating the carbon sequestration and emission reduction amount of soil, comprising the following steps:

[0008] S1: Obtain the average soil temperature average soil humidity average soil pH average soil microorganism quantity average soil microorganism activity average environmental temperature average environmental humidity

[0009] S2; Use the average soil temperature the average soil humidity the average soil pH the average soil microorganism quantity the average soil microorganism activity The average ambient temperature The average ambient humidity And input the soil type of the selected type of soil into the trained soil carbon sequestration and emission reduction accounting model to obtain the carbon sequestration amount and greenhouse gas emission reduction amount of the selected type of soil.

[0010] Preferably, the expression of the soil carbon sequestration and emission reduction accounting model is:

[0011] Y1 = Y 1,1 + Y 1,2 + Y 1,3 ;

[0012] Y2 = Y 2,1 + Y 2,2 + Y 2,3 ;

[0013]

[0014] Among them, Y1 represents the carbon sequestration amount; Y2 represents the greenhouse gas emission reduction amount; Successively represent the average soil temperature, average soil humidity, average soil pH, average soil microorganism quantity, average soil microorganism activity, average ambient temperature and average ambient humidity;

[0015] β i , i = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 represent the carbon sequestration amount accounting coefficients;

[0016] γ j , j = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 represent the greenhouse gas emission reduction amount accounting coefficients;

[0017] (H1, H2, H3) represents the soil type.

[0018] Preferably, when H1 = 1 and H2 = 0 and H3 = 0, the soil type is dryland soil;

[0019] When H1 = 0 and H2 = 1 and H3 = 0, the soil type is wetland soil;

[0020] When H1 = 0 and H2 = 0 and H3 = 1, the soil type is paddy soil.

[0021] Preferably, S1 specifically includes the following steps:

[0022] S11: Obtain the soil temperature A of the selected type of soil at time t t , the soil humidity B t , the soil pH C t , the soil microorganism quantity Dt , Soil microbial activity E t , Ambient temperature F t and ambient humidity G t ;

[0023] Obtain the soil temperature A of the selected type of soil at time t + Δt t+Δt , Soil humidity B t+Δt , Soil pH C t+Δt , Soil microbial quantity D t+Δt , Soil microbial activity E t+Δt , Ambient temperature F t+Δt , Ambient humidity G t+Δt ;

[0024] S12: Calculate the average value of the soil temperature A t and the soil temperature A t+Δt to obtain the average soil temperature

[0025] Calculate the average value of the soil humidity B t and the soil humidity B t+Δt to obtain the average soil humidity

[0026] Calculate the average value of the soil pH C t and the soil pH C t+Δt to obtain the average soil pH

[0027] Calculate the average value of the soil microbial quantity D t and the soil microbial quantity D t+Δt to obtain the average soil microbial quantity

[0028] Calculate the average value of the soil microbial activity E t and the soil microbial activity E t+Δt to obtain the average soil microbial activity

[0029] Calculate the average value of the ambient temperature F t and the ambient temperature F t+Δt to obtain the average ambient temperature

[0030] Calculate the average value of the ambient humidity G t and the ambient humidity G t+Δt to obtain the average ambient humidity

[0031] Preferably, the trained soil carbon sequestration and emission reduction accounting model is obtained based on the following steps:

[0032] Obtain a data set;

[0033] Use the data set to train the soil carbon sequestration and emission reduction accounting model, and minimize the loss function to update the carbon sequestration accounting coefficient and greenhouse gas emission reduction accounting coefficient of the soil carbon sequestration and emission reduction accounting model, so as to obtain the trained soil carbon sequestration and emission reduction accounting model.

[0034] Preferably, the data set includes a number of data pairs; each data pair includes input data and a label; wherein, the input data includes the average soil temperature k from time t k to time t average soil humidity average soil pH average soil microorganism quantity average soil microorganism activity average ambient temperature average ambient humidity and the soil type of this type of soil; the label includes the carbon sequestration amount k from time t k to time t +Δt of this type of soil

[0035] Preferably, the data set is obtained based on a laboratory simulation detection device; the laboratory simulation detection device includes a simulation box, an environment control module, a soil detection module, a gas analysis module, and a data acquisition and processing module;

[0036] The simulation box is used to place soil, wherein the simulation box is a closed space;

[0037] The environment control module is used to control the ambient temperature and ambient humidity in the simulation box;

[0038] The soil detection module is used to detect the organic carbon content, pH, microorganism quantity, microorganism activity, temperature and humidity of the soil in the simulation box;

[0039] The gas analysis module is used to analyze the greenhouse gas concentration in the simulation box;

[0040] The data acquisition and processing module is used to calculate the carbon sequestration amount and greenhouse gas emission reduction amount of the soil in the simulation box.

[0041] Preferably, the carbon sequestration amount of this type of soil is obtained based on the following method:

[0042] Obtain t k The organic carbon content of this type of soil at time t And t k The organic carbon content of this type of soil at time t + Δt

[0043] Calculate the said organic carbon content And the said organic carbon content Of the difference, obtain the carbon sequestration amount of this type of soil

[0044] Preferably, the greenhouse gas emission reduction amount of this type of soil Is obtained based on the following method:

[0045] Obtain t k The greenhouse gas concentration of this type of soil at time t And t k The greenhouse gas concentration of this type of soil at time t + Δt

[0046] Calculate the said greenhouse gas concentration And the said greenhouse gas concentration Of the difference and then multiply by the volume of the simulation box to obtain the greenhouse gas emission reduction amount of this type of soil

[0047] Preferably, the said loss function

[0048] Wherein, α1 and α2 represent loss function coefficients, and n represents the number of training data included in the data set; L i Successively represent the predicted carbon sequestration amount and the measured carbon sequestration amount; M i Successively represent the predicted greenhouse gas emission reduction amount and the measured greenhouse gas emission reduction amount.

[0049] Through the above technical solutions, it can be seen that compared with the prior art, the present invention discloses a method for accounting the carbon sequestration and emission reduction amount of soil, which can quickly and accurately reflect the actual carbon sequestration and emission reduction situation of the soil. Brief Description of the Drawings

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0051] Figure 1Flow chart of a method for accounting soil carbon sequestration and emission reduction provided by the present invention;

[0052] Figure 2 Schematic diagram of an electronic device provided in an embodiment of the present invention. Detailed implementation manners

[0053] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0054] On the one hand, an embodiment of the present invention discloses a method for accounting soil carbon sequestration and emission reduction, as Figure 1 shown, including the following steps:

[0055] S1: Obtain the average soil temperature of the selected type of soil from time t to time t + Δt average soil humidity average soil pH value average soil microorganism quantity average soil microorganism activity average ambient temperature average ambient humidity

[0056] Further, S1 specifically includes the following steps:

[0057] S11: Obtain the soil temperature A t , soil humidity B t , soil pH value C t , soil microorganism quantity D t , soil microorganism activity E t , ambient temperature F t and ambient humidity G t ;

[0058] Obtain the soil temperature A t+Δt , soil humidity B t+Δt , soil pH value C t+Δt , soil microorganism quantity D t+Δt , soil microorganism activity E t+Δt , ambient temperature F t+Δt , ambient humidity G t+Δt ;

[0059] S12: Calculate the soil temperature A t and the soil temperature At+Δt The average value of, to obtain the average soil temperature That is

[0060] Calculate the soil moisture B t and the soil moisture B t+Δt The average value of, to obtain the average soil moisture That is

[0061] Calculate the soil pH C t and the soil pH C t+Δt The average value of, to obtain the average soil pH That is

[0062] Calculate the soil microorganism quantity D t and the soil microorganism quantity D t+Δt The average value of, to obtain the average soil microorganism quantity That is

[0063] Calculate the soil microorganism activity E t and the soil microorganism activity E t+Δt The average value of, to obtain the average soil microorganism activity That is

[0064] Calculate the ambient temperature F t and the ambient temperature F t+Δt The average value of, to obtain the average ambient temperature That is

[0065] Calculate the ambient humidity G t and the ambient humidity G t+Δt The average value of, to obtain the average ambient humidity That is

[0066] S2; Input the average soil temperature the average soil moisture the average soil pH the average soil microorganism quantity the average soil microorganism activity the average ambient temperature the average ambient humidity and the soil type of the selected type of soil into the trained soil carbon sequestration and emission reduction accounting model to obtain the carbon sequestration amount and greenhouse gas emission reduction amount of the selected type of soil.

[0067] Furthermore, the expression of the soil carbon sequestration and emission reduction accounting model is as follows:

[0068] Y1 = Y 1,1 + Y 1,2 + Y 1,3 ;

[0069] Y2 = Y 2,1 + Y 2,2 + Y 2,3 ;

[0070]

[0071] Among them, Y1 represents the carbon sequestration amount; Y2 represents the greenhouse gas emission reduction amount; successively represent the average soil temperature, average soil humidity, average soil pH, average soil microorganism quantity, average soil microorganism activity, average environmental temperature, and average environmental humidity;

[0072] β i , i = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 represent the carbon sequestration accounting coefficients;

[0073] γ j , j = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 represent the greenhouse gas emission reduction accounting coefficients;

[0074] (H1, H2, H3) represents the soil type.

[0075] Furthermore, when H1 = 1, H2 = 0, and H3 = 0, the soil type is dryland soil;

[0076] When H1 = 0, H2 = 1, and H3 = 0, the soil type is wetland soil;

[0077] When H1 = 0, H2 = 0, and H3 = 1, the soil type is paddy soil.

[0078] It can be understood that substituting the average soil temperature the average soil humidity the average soil pH the average soil microorganism quantity the average soil microorganism activity the average environmental temperature the average environmental humidity and the soil type of the selected type of soil into H1, H2, and H3 in formula (1) successively, the carbon sequestration amount and greenhouse gas emission reduction amount of the selected type of soil can be predicted. ​

[0079] Further, the trained soil carbon sequestration and emission reduction accounting model is obtained based on the following steps:

[0080] Obtain a data set;

[0081] Use the data set to train the soil carbon sequestration and emission reduction accounting model, and minimize the loss function to update the carbon sequestration accounting coefficient and greenhouse gas emission reduction accounting coefficient of the soil carbon sequestration and emission reduction accounting model, so as to obtain the trained soil carbon sequestration and emission reduction accounting model.

[0082] Further, the data set includes a number of data pairs; each data pair includes input data and a label; wherein, the input data includes the average soil temperature of a certain type of soil from time t k to time t k +Δt, the average soil humidity the average soil pH value the average soil microorganism quantity the average soil microorganism activity the average ambient temperature the average ambient humidity and the soil type of this type of soil; the label includes the carbon sequestration amount of this type of soil from time t k to time t k +Δt and the greenhouse gas emission reduction amount

[0083] It can be understood that:

[0084]

[0085] Among them, respectively represent the soil temperature of a certain type of soil at time t k and time t k +Δt;

[0086] respectively represent the soil humidity of a certain type of soil at time t k and time t k +Δt;

[0087] respectively represent the soil pH value of a certain type of soil at time t k and time t k +Δt;

[0088] respectively represent the soil microorganism quantity of a certain type of soil at time t k and time t k +Δt; ​

[0089] Successively represent t k moment, t k Soil microbial activity of a certain type of soil at the moment of t + Δt;

[0090] Successively represent t k moment, t k Ambient temperature of a certain type of soil at the moment of t + Δt;

[0091] Successively represent t k moment, t k Ambient humidity of a certain type of soil at the moment of t + Δt.

[0092] Furthermore, the data set is obtained based on a laboratory simulation detection device; the laboratory simulation detection device includes a simulation box, an environmental control module, a soil detection module, a gas analysis module, and a data acquisition and processing module;

[0093] The simulation box is used to place soil, where the simulation box is a closed space;

[0094] The environmental control module is used to control the environmental temperature and environmental humidity in the simulation box;

[0095] The soil detection module is used to detect the organic carbon content, pH value, microbial quantity, microbial activity, temperature and humidity of the soil in the simulation box;

[0096] The gas analysis module is used to analyze the greenhouse gas concentration in the simulation box;

[0097] The data acquisition and processing module is used to calculate the carbon sequestration amount and greenhouse gas emission reduction amount of the soil in the simulation box.

[0098] It can be understood that:

[0099] The simulation box is made of high-strength transparent material, which is convenient for observing the internal soil state. Multiple cylindrical containers are arranged inside the box, and multiple soil samples can be placed simultaneously for comparative experiments. Among them, the cylindrical containers are designed to hold dryland soil, wetland soil and paddy soil respectively. The dryland soil container is designed with a sample mixing function, and the soil samples can be mixed according to different production technical measures (such as fertilizer application rate, straw returning amount, biochar application amount, etc.) for simulated field operations. The wetland soil and paddy soil containers are designed with water injection and drainage control functions, and the simulated soil flooding conditions can be carried out according to different wetland and paddy soil types.

[0100] The environmental control module includes a temperature control system and a humidity regulation system. The temperature control system can precisely control the temperature inside the box through built-in heating wires and Peltier elements, simulating temperature changes in different seasons and regions. The humidity regulation system can accurately adjust the humidity inside the box through an ultrasonic humidifier and a dehumidifier, and can simulate the impact of different atmospheric environmental conditions on soil carbon sequestration and greenhouse gas emissions reduction.

[0101] The soil detection module is equipped with a variety of high-precision detection probes, including probes for detecting soil organic carbon content, soil pH value, the number and activity of soil microorganisms, soil temperature and humidity, etc. These probes can penetrate deep into the soil sample to collect various physical, chemical, and biological indicators of the soil in real time and transmit the data to the data acquisition and processing module.

[0102] The gas analysis module is connected to the simulation box and can collect gas samples inside the box in real time through a gas sampling pipeline. Using advanced analysis equipment such as a gas chromatography-mass spectrometry (GC-MS) instrument, it can perform high-precision analysis on greenhouse gases such as carbon dioxide and methane and other related gas components in the gas, obtain data such as gas concentration and flux, and transmit the data to the data acquisition and processing module.

[0103] The data acquisition and processing unit module receives data from the soil detection module and the gas analysis module, analyzes and integrates the data using advanced data processing algorithms, can accurately calculate the soil carbon sequestration amount and greenhouse gas emissions reduction amount, and displays the detection and accounting results in an intuitive form such as charts.

[0104] Furthermore, the carbon sequestration amount of this type of soil is obtained based on the following method:

[0105] Obtain the organic carbon content of this type of soil at time t k and the organic carbon content of this type of soil at time t and t k +Δt.

[0106] Calculate the difference between the organic carbon content and the organic carbon content to obtain the carbon sequestration amount of this type of soil

[0107] That is

[0108] Furthermore, the greenhouse gas emissions reduction amount of this type of soil is obtained based on the following method:

[0109] Obtain the greenhouse gas concentration of this type of soil at time t k and the greenhouse gas concentration of this type of soil at time t and tk The greenhouse gas concentration of this type of soil at time +Δt

[0110] Calculate the greenhouse gas concentration With the greenhouse gas concentration After calculating the difference and then multiplying by the volume V of the simulation chamber, the greenhouse gas emission reduction amount of this type of soil is obtained

[0111] That is

[0112] Furthermore, the loss function Where α1 and α2 represent loss function coefficients, and n represents the number of training data included in the data set; L i Successively represent the predicted carbon sequestration amount and the measured carbon sequestration amount; M i Successively represent the predicted greenhouse gas emission reduction amount and the measured greenhouse gas emission reduction amount.

[0113] On the other hand, the present invention also provides an electronic device, as Figure 2 shown, the electronic device may include: a processor 201, a communication interface 202, a memory 203, and a communication bus 204, wherein the processor 201, the communication interface 202, and the memory 203 complete mutual communication through the communication bus 204. The processor 201 can call the logical instructions in the memory 203 to execute a method for calculating the carbon sequestration and emission reduction amount of soil.

[0114] In addition, when the logical instructions in the above-mentioned memory 203 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. And the aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs, etc., which can store program codes.

[0115] In the present specification, the various embodiments are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts among the various embodiments, reference can be made to each other. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple. For related parts, reference can be made to the description in the method section.

[0116] The foregoing description of the disclosed embodiments enables those skilled in the art to practice or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for calculating the amount of soil carbon sequestration and emission reduction, characterized in that, It includes the following steps: S1: Obtain the average soil temperature of the selected type of soil from time t to time t+Δt Average soil humidity Average soil pH Average number of soil microorganisms D t→t+Δt , Average soil microbial activity Average ambient temperature Average ambient humidity S2; input the average soil temperature the average soil humidity the average soil pH value the average soil microorganism quantity the average soil microorganism activity the average ambient temperature the average ambient humidity and the soil type of the selected soil type into the trained soil carbon sequestration and emission reduction accounting model to obtain the carbon sequestration amount and greenhouse gas emission reduction amount of the selected soil type.

2. The accounting method for soil carbon sequestration and emission reduction according to claim 1, wherein The expression of the soil carbon sequestration and emission reduction accounting model is: Y1 = Y 1,1 + Y 1,2 + Y 1,3 ; Y2 = Y 2,1 +Y 2,2 +Y 2,3 ; Among them, Y1 represents the carbon sequestration amount; Y2 represents the greenhouse gas emission reduction amount; successively represent the average soil temperature, average soil humidity, average soil pH value, average soil microorganism quantity, average soil microorganism activity, average environmental temperature, and average environmental humidity; β i , where i = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 represents the carbon sequestration accounting coefficient; γ j , where j = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 represents the greenhouse gas emission reduction accounting coefficient; (H1, H2, H3) represents the soil type.

3. According to the accounting method of soil carbon sequestration and emission reduction described in claim 2, it is characterized in that: When H1 = 1 and H2 = 0 and H3 = 0, the soil type is dryland soil; When H1 = 0 and H2 = 1 and H3 = 0, the soil type is wetland soil; When H1 = 0 and H2 = 0 and H3 = 1, the soil type is paddy soil.

4. The accounting method for soil carbon sequestration and emission reduction according to claim 1, characterized in that S1 specifically includes the following steps: S11: Obtain the soil temperature A of the selected type of soil at time t t , the soil humidity B t , the soil pH value C t , the number of soil microorganisms D t , the soil microorganism activity E t , the ambient temperature F t and the ambient humidity G t ; Obtain the soil temperature A of the selected type of soil at time t+Δt t+Δt , soil humidity B t+Δt , soil pH C t+Δt , the number of soil microorganisms D t+Δt , soil microbial activity E t+Δt , ambient temperature F t+Δt , ambient humidity G t+Δt ; S12: Calculate the soil temperature A t and the soil temperature A t+Δt to obtain the average value, getting the average soil temperature A t→t+Δt ; Calculate the soil humidity B t and the soil humidity B t+Δt to obtain the average soil humidity B t→t+Δt ; Calculate the soil pH value C t and the soil pH value C t+Δt to obtain the average soil pH value C t→t+Δt ; Calculate the soil microorganism quantity D t and the soil microorganism quantity D t+Δt to obtain the average soil microorganism quantity D t→t+Δt ; Calculate the soil microbial activity E t and the soil microbial activity E t+Δt to obtain the average soil microbial activity Calculate the ambient temperature F t and the ambient temperature F t+Δt to obtain the average ambient temperature by taking the average value Calculate the environmental humidity G t and the environmental humidity G t+Δt to obtain the average environmental humidity by taking the average value 5. The accounting method for soil carbon sequestration and emission reduction according to claim 1, wherein: The trained soil carbon sequestration and emission reduction accounting model is obtained based on the following steps: Obtain a data set; Use the data set to train the soil carbon sequestration and emission reduction accounting model, and minimize the loss function to update the carbon sequestration accounting coefficient and greenhouse gas emission reduction accounting coefficient of the soil carbon sequestration and emission reduction accounting model, so as to obtain the trained soil carbon sequestration and emission reduction accounting model.

6. The accounting method for soil carbon sequestration and emission reduction according to claim 5, wherein , the dataset includes a number of data pairs; each data pair includes input data and a label; wherein, the input data includes the average soil temperature of a certain type of soil from time t k to time t k +Δt, the average soil humidity the average soil pH the average soil microorganism quantity the average soil microorganism activity the average ambient temperature the average ambient humidity and the soil type of this type of soil; the label includes the carbon sequestration amount of this type of soil from time t to time t k +Δt k and the greenhouse gas emission reduction amount ​ 7. A method for calculating the soil carbon sequestration and emission reduction amount according to claim 5 or 6, characterized in that The data set is obtained based on a laboratory simulation detection device; the laboratory simulation detection device includes a simulation box, an environmental control module, a soil detection module, a gas analysis module, and a data acquisition and processing module; The simulation box is used to place soil, wherein the simulation box is a closed space; The environmental control module is used to control the environmental temperature and humidity in the simulation box; The soil detection module is used to detect the organic carbon content, pH value, microorganism quantity, microorganism activity, temperature and humidity of the soil in the simulation box; The gas analysis module is used to analyze the greenhouse gas concentration in the simulation box; The data acquisition and processing module is used to calculate the carbon sequestration amount and greenhouse gas emission reduction amount of the soil in the simulation box.

8. The accounting method for soil carbon sequestration and emission reduction according to claim 6, wherein The carbon sequestration amount of this type of soil Obtained in the following manner: Obtain t k The organic carbon content of this type of soil at that moment And t k The organic carbon content of this type of soil at t + Δt Calculate the organic carbon content The difference from the organic carbon content to obtain the carbon sequestration amount of this type of soil 9. The accounting method for soil carbon sequestration and emission reduction according to claim 7, characterized in that Greenhouse gas emission reduction amount of this type of soil Obtained based on the following methods: Obtain t k The greenhouse gas concentration of this type of soil at time t and t k The greenhouse gas concentration of this type of soil at time t + Δt Calculate the greenhouse gas concentration The difference from the greenhouse gas concentration is multiplied by the volume of the simulated box to obtain the greenhouse gas emission reduction of this type of soil 10. A method for calculating the soil carbon sequestration and emission reduction amount according to claim 5, characterized in that, The loss function Among them, α1 and α2 represent the loss function coefficients, and n represents the number of training data included in the data set; L i successively represent the predicted carbon sequestration amount and the measured carbon sequestration amount; M i successively represent the predicted greenhouse gas emission reduction amount and the measured greenhouse gas emission reduction amount.

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