Biochar carbon sequestration and emission reduction soil respiration detection device and accounting method

Abstract

The invention discloses a biochar carbon sequestration and emission reduction soil respiration detection device and an accounting method, and belongs to the technical field of carbon sequestration and emission reduction, the biochar carbon sequestration and emission reduction soil respiration detection device comprises a soil accommodating unit, a gas collecting unit, a gas detection unit, a data recording unit and a processing unit; preparing a plurality of groups of soil samples containing different proportions of biochar, and determining the carbon content of the biochar in each sample by using an organic carbon analyzer; all the soil samples are placed in a soil containing unit simulating a field environment, corresponding temperature and humidity conditions are set, and a detection device is started for gas collection; detecting the carbon dioxide concentration of each gas sample, and calculating to obtain the carbon emission; and based on the data, calculating the total amount of charcoal carbon sequestration and emission reduction of each soil sample through a preset mathematical model. And finally, analyzing the carbon sequestration and emission reduction effect of the biochar by using a multiple regression model, and evaluating the influence of different factors on carbon sequestration and emission reduction.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon fixation and emission reduction, and in particular to a biochar carbon fixation and emission reduction soil respiration detection device and a calculation method. Background Art

[0002] As the world's attention to climate change continues to increase, reducing carbon emissions has become an important task in all fields. Biochar is an aromatic substance produced by high-temperature pyrolysis of biomass materials such as plants under anaerobic conditions. It has the characteristics of high carbon content and good stability. While improving soil quality, it also has a potential impact on carbon fixation and emission reduction during soil respiration.

[0003] However, there is currently a lack of efficient equipment and accurate calculation methods specifically for detecting the carbon fixation and emission reduction effects of biochar in soil respiration. Summary of the invention

[0004] The purpose of the present invention is to provide a biochar carbon fixation and emission reduction soil respiration detection device and calculation method to overcome the deficiencies in the background technology.

[0005] The purpose of the present invention can be achieved by the following technical solution: A method for calculating soil respiration for biochar carbon fixation and emission reduction, comprising the following steps:

[0006] Step 1: prepare multiple groups of soil samples containing different proportions of biochar, obtain the biochar addition ratio of each soil sample, and use an organic carbon analyzer to determine the biochar carbon content in each soil sample;

[0007] Step 2: Place all soil samples in a soil holding unit, set the temperature and humidity conditions to simulate the field environment, and start the detection device to collect gas from all soil samples to obtain gas samples;

[0008] Step 3: Detect all gas samples using a high-precision carbon dioxide sensor, record the carbon dioxide concentration of each gas sample, and obtain the carbon emissions of all soil samples;

[0009] Step 4: Based on the experimental data obtained, the total amount of carbon sequestration and emission reduction of each soil sample is calculated using a preset mathematical model;

[0010] Step 5. Based on the total amount of biochar carbon sequestration and emission reduction in each soil sample, a multivariate regression model was used to analyze the effect of biochar carbon sequestration and emission reduction.

[0011] Preferably, soil samples with different proportions of biochar, including blank soil samples without biochar addition and several soil samples with different proportions of biochar added, are marked as control group samples and treatment group samples, respectively.

[0012] Preferably, the method for obtaining the carbon emissions of all soil samples is as follows:

[0013] Based on the carbon dioxide concentration of each gas sample, the carbon emissions are calculated using the formula B=D·λ, where B is the carbon emissions; D is the carbon dioxide concentration of the gas sample; and λ is the conversion factor between carbon emissions and carbon dioxide concentration, which is obtained from historical experimental data.

[0014] Preferably, the experimental data include the biochar addition ratio of each soil sample, the biochar carbon content, the carbon dioxide concentration of the gas sample, and the temperature and humidity conditions.

[0015] Preferably, a mathematical model is constructed to calculate the total amount of carbon sequestration and emission reduction of each soil sample:

[0016] The carbon emission of the soil samples in the control group was obtained, which was marked as the basal respiration rate B0; the biochar carbon content and carbon emission of the samples in each treatment group were obtained, which were marked as C n and B n , where n = 1, 2, 3, ..., N; N represents the total number of samples in the treatment group;

[0017] The total amount of biochar carbon sequestration reduction was calculated for each soil sample in the treatment group;

[0018] The calculation formula is:

[0019] Z n =C n +(B0-B n );

[0020] In the formula, Z n is the total amount of carbon sequestration and emission reduction of the biochar sample in the nth treatment group; C n is the biochar carbon content of the sample in the nth treatment group; B0 is the basic respiration rate; B n is the carbon emission of the sample in the nth treatment group.

[0021] Preferably, the formula involved in the multiple regression model is:

[0022] Z n =β0+β1·C n +β2·x n +β3·T+β4·H+β5·B0+ε;

[0023] In the formula, Z n is the total amount of carbon sequestration and emission reduction of the sample of the nth treatment group; β1, β2, β3, β4, β5 are the regression coefficients of the independent variables corresponding to the model; β0 is the intercept term; ε is the error term; C n is the biochar carbon content of the sample in the nth treatment group; x nis the biochar addition ratio of the sample in the nth treatment group; T and H are the temperature and humidity of the experiment, and the specific values ​​need to be calibrated and verified according to the actual situation; B0 is the basic respiration rate;

[0024] Wherein, the independent variables include biochar carbon content, biochar addition ratio, temperature, humidity, and basal respiration rate;

[0025] The least squares method is used to estimate the parameters of the multivariate regression model, and the estimated values ​​of the regression coefficient and the intercept term are obtained, which are marked as and The degree and direction of the impact of each independent variable on the total amount of biochar carbon sequestration and emission reduction are explained based on the size and sign of the estimated regression coefficient.

[0026] Furthermore, the multiple regression model was evaluated using goodness-of-fit test to obtain the coefficient of determination;

[0027] The calculation formula is:

[0028]

[0029] In the formula, R 2 is the coefficient of determination; y i is the measured data of the total amount of carbon sequestration and emission reduction of the i-th biochar; is the estimated value of the total amount of carbon sequestration and emission reduction by biochar calculated by the i-th multivariate regression model; is the arithmetic mean of all measured data on the total amount of carbon sequestration and emission reduction of biochar; m is the number of samples;

[0030] If the calculated determination coefficient R 2 If it is ≥0.85, it means that the fitting effect of the multiple regression model meets the standard; otherwise, multiple repeated experiments are needed to ensure data quality.

[0031] In order to solve the problem, the present invention also discloses a biochar carbon fixation and emission reduction soil respiration detection device, comprising:

[0032] A soil holding unit is used to place soil samples containing different proportions of biochar. The bottom of the container is provided with a gas collection port and has the function of setting temperature and humidity conditions;

[0033] A gas collection unit is connected to the gas collection port of the soil containing unit through a pipeline, collects gas samples generated by the soil, and guides the gas samples to the detection equipment;

[0034] Gas detection unit, which analyzes the carbon dioxide concentration in the gas sample through a high-precision carbon dioxide sensor;

[0035] A data recording unit records the experimental data detected by the gas detection unit in real time;

[0036] The processing unit analyzes and processes the recorded experimental data, calculates the total amount of biochar carbon sequestration and emission reduction for each soil sample using a preset mathematical model, and uses multiple regression to analyze the effect of biochar carbon sequestration and emission reduction.

[0037] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0038] The present invention prepares soil samples with different proportions of biochar, determines the biochar carbon content, simulates the field environment, collects gas samples, detects the carbon dioxide concentration and calculates the carbon emissions, and each step ensures the accuracy and reliability of the data; the total amount of carbon fixation and emission reduction is calculated through a preset mathematical model, and the influence of multiple factors on carbon fixation and emission reduction is analyzed using a multivariate regression model, which deeply reveals the mechanism of action of biochar and realizes the accurate calculation and evaluation of the carbon fixation and emission reduction effect of biochar. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Figure 1 The present invention is a flowchart of a method for calculating soil respiration for biochar carbon fixation and emission reduction.

[0041] Figure 2 This is a diagram of the key parts of a biochar carbon fixation and emission reduction soil respiration detection device of the present invention. DETAILED DESCRIPTION

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0043] Embodiment 1, as Figure 1 As shown, a method for calculating soil respiration of biochar carbon fixation and emission reduction includes the following steps:

[0044] Step 1: prepare multiple groups of soil samples containing different proportions of biochar, obtain the biochar addition ratio of each soil sample, and use an organic carbon analyzer to determine the biochar carbon content in each soil sample;

[0045] Among them, soil samples with different proportions of biochar include blank soil samples without biochar addition and several soil samples with different proportions of biochar added, which are marked as control group samples and treatment group samples respectively;

[0046] It should be noted that the biochar addition ratio is the mass ratio of biochar in the soil, usually between 2% and 5%; the biochar carbon content is the organic carbon ratio in the biochar, usually expressed as a percentage;

[0047] In the embodiment of the present invention, biochar has porosity and a large specific surface area, which can increase the porosity of the soil and improve the air permeability and water permeability of the soil; under the temperature and humidity conditions simulating the field environment, after the biochar is mixed with the soil, it helps to form a looser and more breathable soil structure, thereby improving the reliability of the experiment.

[0048] Step 2: Place all soil samples in a soil holding unit, set the temperature and humidity conditions to simulate the field environment, and start the detection device to collect gas from all soil samples to obtain gas samples;

[0049] Step 3: Detect all gas samples using a high-precision carbon dioxide sensor, record the carbon dioxide concentration of each gas sample, and obtain the carbon emissions of all soil samples;

[0050] Based on the CO2 concentration of each gas sample, the carbon emissions are calculated using the formula B=D.λ, where B is the carbon emissions; D is the carbon dioxide concentration of the gas sample; and λ is the conversion factor between carbon emissions and CO2 concentration, obtained from historical experimental data.

[0051] Step 4: Based on the experimental data obtained, the total amount of carbon sequestration and emission reduction of each soil sample is calculated using a preset mathematical model;

[0052] A mathematical model was constructed to calculate the total amount of biochar carbon sequestration and emission reduction for each soil sample: the carbon emission of the control group soil sample was obtained, marked as the basal respiration rate B0; the biochar carbon content and carbon emission of each treatment group sample were obtained, marked as C n and B n , where n = 1, 2, 3, ..., N; N represents the total number of samples in the treatment group;

[0053] The total amount of biochar carbon sequestration reduction was calculated for each soil sample in the treatment group;

[0054] The calculation formula is:

[0055] Z n =C n +(B0-B n );

[0056] In the formula, Z n is the total amount of carbon sequestration and emission reduction of the biochar sample in the nth treatment group; C n is the biochar carbon content of the sample in the nth treatment group; B0 is the basic respiration rate; B n is the carbon emission of the sample in the nth treatment group.

[0057] In the embodiment of the present invention, the total amount of carbon sequestration and emission reduction by biochar of each treatment group sample can be accurately calculated through the above-mentioned mathematical model, which helps to understand the actual carbon sequestration effect of biochar under different soil conditions, thereby providing a scientific basis for further research and application.

[0058] Step 5: Based on the total amount of biochar carbon sequestration and emission reduction in each soil sample, a multivariate regression model was used to analyze the effect of biochar carbon sequestration and emission reduction;

[0059] The formula involved in the multiple regression model is:

[0060] Z n =β0+β1·C n +β2·x n +β3·T+β4·H+β5·B0+ε;

[0061] In the formula, Z n is the total amount of carbon sequestration and emission reduction of the sample of the nth treatment group; β1, β2, β3, β4, β5 are the regression coefficients of the independent variables corresponding to the model; β0 is the intercept term; ε is the error term; C n is the biochar carbon content of the sample in the nth treatment group; x n is the biochar addition ratio of the sample in the nth treatment group; T and H are the temperature and humidity of the experiment, and the specific values ​​need to be calibrated and verified according to the actual situation; B0 is the basic respiration rate;

[0062] Wherein, the independent variables include biochar carbon content, biochar addition ratio, temperature, humidity, and basal respiration rate;

[0063] The least squares method is used to estimate the parameters of the multivariate regression model, and the estimated values ​​of the regression coefficient and the intercept term are obtained, which are marked as and

[0064] Furthermore, the multiple regression model was evaluated using goodness-of-fit test to obtain the coefficient of determination;

[0065] The calculation formula is:

[0066]

[0067] In the formula, R 2 is the coefficient of determination; y i is the measured data of the total amount of carbon sequestration and emission reduction of the i-th biochar; is the estimated value of the total amount of carbon sequestration and emission reduction by biochar calculated by the i-th multivariate regression model; is the arithmetic mean of all measured data on the total amount of carbon sequestration and emission reduction of biochar; m is the number of samples;

[0068] If the calculated determination coefficient R2 If the value is ≥0.85, it means that the fitting effect of the multiple regression model meets the standard; otherwise, multiple repeated experiments are needed to ensure the data quality;

[0069] It should be noted that in the process of analyzing the carbon sequestration and emission reduction effect of biochar, a higher R 2 The value indicates that the model can better capture the impact of independent variables on dependent variables, thus providing strong support for understanding and optimizing the application of biochar;

[0070] Explain the degree and direction of each independent variable's impact on the total amount of biochar carbon sequestration and emission reduction based on the magnitude and sign of the estimated regression coefficient;

[0071] For example, if the regression coefficient of biochar carbon content is The larger the value, the greater the impact of biochar carbon content on the total amount of biochar carbon sequestration and emission reduction;

[0072] Furthermore, if This indicates that the carbon content of biochar is positively correlated with the total amount of biochar carbon sequestration and emission reduction; if The carbon content of biochar is negatively correlated with the total amount of carbon sequestration and emission reduction of biochar; if The carbon content of biochar is not correlated with the total amount of biochar carbon sequestration and emission reduction, and has no significant impact.

[0073] In the embodiment of the present invention, the specific contribution of each independent variable to the total amount of biochar carbon sequestration and emission reduction can be quantified through a multivariate regression model, which helps to more accurately understand the degree and direction of the influence of different factors on the biochar carbon sequestration and emission reduction effect.

[0074] Embodiment 2, as Figure 2 As shown, a biochar carbon fixation and emission reduction soil respiration detection device is composed of several key parts, including a soil containing unit, a gas collection unit, a gas detection unit, a data recording unit, and a processing unit;

[0075] A soil holding unit is used to place soil samples containing different proportions of biochar; the container is designed with temperature and humidity control functions to simulate the actual moisture and temperature conditions in the field; a gas collection port is provided at the bottom of the container to collect the gas produced by soil respiration;

[0076] A gas collection unit is connected to the gas collection port of the soil containing unit through a pipeline, collects gas samples generated by the soil, and guides the gas samples to the detection equipment;

[0077] It is important to ensure the airtightness of the pipeline connection to avoid gas leakage and ensure that all the carbon dioxide produced can be effectively collected; adjust the speed of gas flow to better simulate the gas exchange under natural conditions;

[0078] Gas detection unit, which analyzes the carbon dioxide concentration in the gas sample through a high-precision carbon dioxide sensor;

[0079] A data recording unit records the experimental data detected by the gas detection unit in real time; wherein the experimental data includes the biochar addition ratio of each soil sample, the biochar carbon content, the carbon dioxide concentration of the gas sample, and the temperature and humidity conditions;

[0080] The processing unit analyzes and processes the acquired experimental data, calculates the total amount of biochar carbon sequestration and emission reduction for each soil sample using a preset mathematical model, and uses multiple regression to analyze the effect of biochar carbon sequestration and emission reduction.

Claims

1. A method for calculating soil respiration for biochar carbon fixation and emission reduction, characterized in that: The following steps are involved: Step 1: prepare multiple groups of soil samples containing different proportions of biochar, obtain the biochar addition ratio of each soil sample, and use an organic carbon analyzer to determine the biochar carbon content in each soil sample; Step 2: Place all soil samples in a soil holding unit, set the temperature and humidity conditions to simulate the field environment, and start the detection device to collect gas from all soil samples to obtain gas samples; Step 3: Detect all gas samples using a high-precision carbon dioxide sensor, record the carbon dioxide concentration of each gas sample, and obtain the carbon emissions of all soil samples; Step 4: Based on the experimental data obtained, the total amount of carbon sequestration and emission reduction of each soil sample is calculated using a preset mathematical model; Step 5. Based on the total amount of biochar carbon sequestration and emission reduction in each soil sample, a multivariate regression model was used to analyze the effect of biochar carbon sequestration and emission reduction.

2. A method for calculating soil respiration for biochar carbon fixation and emission reduction according to claim 1, characterized in that: Soil samples with different proportions of biochar, including blank soil samples without biochar addition and several soil samples with different proportions of biochar added, were marked as control group samples and treatment group samples, respectively.

3. A method for calculating soil respiration for biochar carbon fixation and emission reduction according to claim 1, characterized in that: The method to obtain carbon emissions for all soil samples was as follows: Based on the carbon dioxide concentration of each gas sample, the carbon emissions are calculated using the formula B=D·λ, where B is the carbon emissions; D is the carbon dioxide concentration of the gas sample; and λ is the conversion factor between carbon emissions and carbon dioxide concentration, which is obtained from historical experimental data.

4. A method for calculating soil respiration for biochar carbon fixation and emission reduction according to claim 1, characterized in that: The experimental data included the biochar addition ratio of each soil sample, the biochar carbon content, the carbon dioxide concentration of the gas samples, and the temperature and humidity conditions.

5. A method for calculating soil respiration for biochar carbon fixation and emission reduction according to claim 4, characterized in that: A mathematical model was constructed to calculate the total amount of carbon sequestration and emission reduction from biochar for each soil sample: The carbon emission of the soil samples in the control group was obtained, which was marked as the basal respiration rate B0; the biochar carbon content and carbon emission of the samples in each treatment group were obtained, which were marked as C n and B n , where n = 1, 2, 3, ..., N; N represents the total number of samples in the treatment group; The total amount of biochar carbon sequestration reduction was calculated for each soil sample in the treatment group; The calculation formula is: From n =C n +(B0-B n ); In the formula, Z n is the total amount of carbon sequestration and emission reduction of the biochar sample in the nth treatment group; C n is the biochar carbon content of the sample in the nth treatment group; B0 is the basic respiration rate; B n is the carbon emission of the sample in the nth treatment group.

6. A method for calculating soil respiration for biochar carbon fixation and emission reduction according to claim 5, characterized in that: The formula involved in the multiple regression model is: Z n =β0+β1·C n +β2·x n +β3·T+β4·H+β5·B0+ε; In the formula, Z n is the total amount of carbon sequestration and emission reduction of the sample of the nth treatment group; β1, β2, β3, β4, β5 are the regression coefficients of the independent variables corresponding to the model; β0 is the intercept term; ε is the error term; C n is the biochar carbon content of the sample in the nth treatment group; x n is the biochar addition ratio of the sample in the nth treatment group; T and H are the temperature and humidity of the experiment, and the specific values ​​need to be calibrated and verified according to the actual situation; B0 is the basic respiration rate; Wherein, the independent variables include biochar carbon content, biochar addition ratio, temperature, humidity, and basal respiration rate; The least squares method is used to estimate the parameters of the multivariate regression model, and the estimated values ​​of the regression coefficient and the intercept term are obtained, which are marked as and The degree and direction of the impact of each independent variable on the total amount of biochar carbon sequestration and emission reduction are explained based on the size and sign of the estimated regression coefficient.

7. A method for calculating soil respiration for biochar carbon fixation and emission reduction according to claim 6, characterized in that: The multiple regression model was evaluated using goodness-of-fit tests to obtain the coefficient of determination; The calculation formula is: In the formula, R 2 is the coefficient of determination; y i is the measured data of the total amount of carbon sequestration and emission reduction of the i-th biochar; is the estimated value of the total amount of carbon sequestration and emission reduction by biochar calculated by the i-th multivariate regression model; is the arithmetic mean of all measured data on the total amount of carbon sequestration and emission reduction of biochar; m is the number of samples; If the calculated determination coefficient R 2 If it is ≥0.85, it means that the fitting effect of the multiple regression model meets the standard; otherwise, multiple repeated experiments are needed to ensure data quality.

8. A biochar carbon fixation and emission reduction soil respiration test device, characterized in that: include: A soil holding unit is used to place soil samples containing different proportions of biochar. The bottom of the container is provided with a gas collection port and has the function of setting temperature and humidity conditions; A gas collection unit is connected to the gas collection port of the soil containing unit through a pipeline, collects gas samples generated by the soil, and guides the gas samples to the detection equipment; Gas detection unit, which analyzes the carbon dioxide concentration in the gas sample through a high-precision carbon dioxide sensor; A data recording unit records the experimental data detected by the gas detection unit in real time; The processing unit analyzes and processes the recorded experimental data, calculates the total amount of biochar carbon sequestration and emission reduction for each soil sample using a preset mathematical model, and uses multiple regression to analyze the effect of biochar carbon sequestration and emission reduction.

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