Method for estimating greenhouse gas emission of farmland under bio-mulch cover

Abstract

The application provides an estimation method for greenhouse gas emission of farmland under biological mulch, and belongs to the field of intelligent agricultural management, which comprises the following steps: obtaining soil environment parameters and biological mulch degradation parameters of farmland under biological mulch, and obtaining the relationship between biological mulch degradation products according to the soil environment parameters of farmland; based on a geochemical model, inputting the relationship between biological mulch degradation products and the biological mulch degradation parameters, and establishing an estimation model for greenhouse gas emission of farmland under dynamic degradation of biological mulch, so as to estimate the total greenhouse gas emission of farmland under biological mulch. The application can accurately estimate the greenhouse gas emission of farmland under biological mulch, and is helpful for promoting the development of green and sustainable agriculture.

Description

Technical Field

[0001] This invention belongs to the field of smart agricultural management, specifically relating to a method for estimating greenhouse gas emissions from farmland covered with biological mulch film. Background Technology

[0002] Mulching technology significantly increases soil temperature, effectively reduces soil moisture evaporation, increases crop yield, and suppresses weeds, making it widely used in agricultural production. However, because ordinary mulch film is mainly composed of polyethylene, which is difficult to degrade under natural conditions, long-term and large-scale use leads to residual film entering the soil, reducing soil permeability, hindering crop absorption of water and nutrients, and affecting the quality of mechanized farming operations. This has become a prominent problem affecting the sustainable development of agriculture. Promoting safe and alternative products is an urgent issue that needs to be addressed for the development of green agriculture.

[0003] In recent years, my country has intensified its research and promotion of biofilm mulch, and its widespread use is expected in the future. Biofilm mulch, composed of degradable materials such as starch, offers similar heat preservation, moisture retention, and yield-increasing effects to plastic mulch, and is considered a substitute for ordinary mulch, gradually gaining acceptance among users. With its widespread application, the products of biofilm degradation are crucial for research into green agriculture and agricultural waste collection and utilization systems. However, the impact of biofilm decomposition on farmland and the amount of greenhouse gases emitted when biofilm loses its heat preservation and moisture retention capabilities in the later stages of degradation remain unclear. Currently, there are few methods for estimating greenhouse gas emissions from farmland under biofilm degradation conditions. Therefore, there is an urgent need to develop a method for estimating greenhouse gas emission fluxes from farmland under biofilm mulch conditions. This will benefit my country's future food security, the prevention and control of rural non-point source pollution, and the development of green agriculture, while also contributing to the estimation of global greenhouse gas emissions. Summary of the Invention

[0004] To address the issue of low accuracy in estimating greenhouse gas emissions from farmland under dynamic degradation conditions of biofilm, this invention provides a method for estimating greenhouse gas emissions from farmland covered by biofilm.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for estimating greenhouse gas emissions from farmland under biofilm mulching, comprising the following steps:

[0006] To obtain historical soil environmental parameters and biofilm degradation parameters of farmland under biofilm mulching conditions;

[0007] Based on the soil environmental parameters of the farmland, a polynomial fitting was performed on the biofilm degradation products to obtain the relationship between the biofilm degradation products.

[0008] The relationship between the biofilm degradation parameters and the biofilm degradation products is input into the denitrification-decomposition DNDC model to correct the model, resulting in an estimation model for farmland greenhouse gas emissions that takes into account the dynamic degradation of biofilm.

[0009] The parameters of the farmland under the biofilm mulch to be tested are input into the farmland greenhouse gas emission estimation model to obtain the estimated total amount of various greenhouse gases produced by the farmland under the biofilm mulch condition.

[0010] Preferably, the biofilm degradation parameters specifically include: the degradation rate of the biofilm and the degradation area of ​​the biofilm.

[0011] Preferably, obtaining the degradation area of ​​the biofilm specifically includes the following steps:

[0012] Continuously acquire images of the degradation and damage process of biofilm in farmland;

[0013] Automated image recognition technology was used to process images of the degradation and damage process of biofilm. The images were converted into grayscale images, and an adaptive thresholding method was used to binarize the grayscale images to find the outline of the biofilm and obtain a binarized image.

[0014] The area of ​​degraded biofilm in farmland is obtained from the binarized image.

[0015] Preferably, obtaining the degradation rate of the biofilm specifically includes the following steps:

[0016] Degradation time per unit area of ​​biofilm:

[0017] ;

[0018] In the formula, For the area of ​​the biological mulch film, depending on ; For the particle load of biofilm; The thickness of the dry biological mulch film;

[0019] The degradation rate of biofilm was obtained based on the area of ​​degraded biofilm in farmland and the degradation time per unit area of ​​biofilm. v :

[0020] ;

[0021] In the formula, This represents the area of ​​biofilm degradation.

[0022] Preferably, based on the soil environmental parameters of the farmland, a polynomial fitting is performed on the biofilm degradation products to obtain the relationship between them. Specifically, isotope tracking technology is used to track the C and H elements in the biofilm to determine the CO2, H2O, and SOC generated during the biofilm degradation process. A polynomial fitting method is then used to fit the biofilm degradation products to obtain the relationship between the three. The relationship between the biofilm degradation products is specifically as follows:

[0023] ;

[0024] ;

[0025] ;

[0026] In the formula, α, β, and γ are all proportionality coefficients, which are determined according to different soil moisture contents, different weather conditions, and different temperatures; This refers to the CO2 produced during the degradation of the biofilm per unit time. The amount of H2O produced per unit time during the degradation of the biofilm; The SOC generated during the degradation of biofilm per unit time; C M The carbon (C) content in the biological mulch film; H M This represents the hydrogen (H) content in the biological mulch film.

[0027] Preferably, the farmland greenhouse gas emission estimation model specifically includes a decomposer model, a nitrifier model, and a denitrifier model;

[0028] Obtaining greenhouse gas emissions from farmland covered with biological mulch film using a sub-model involves the following steps:

[0029] Time t and rate of degradation of biofilm and decomposition of soil organic matter The following formula is used to calculate the effect of moisture content, temperature, and O2 concentration:

[0030] ;

[0031] ;

[0032] ;

[0033] ;

[0034] In the formula, R is the sum of the decomposition times of biofilm carbon matter and soil carbon pool carbon; MThe amount of soil organic matter and carbon dioxide produced by the degradation of biofilm, and the total amount of decomposition residue; v M The total decomposition rate of biofilm carbon matter and soil carbon pool; A factor that reduces clay content; Reduce the rate for C:N; The composite cooling and dehumidification coefficient; K represents the unstable organic compounds in the library; K1 represents the decomposition rate of the unstable components; K r R is the resistance fraction representing the decomposition rate of the unstable component. C Total decomposition residue; Total denitrifying biomass; For the efficiency of microbial decomposition of residues; CO2 during the decomposition of residues;

[0035] The steps involved in obtaining greenhouse gas emissions from farmland under biofilm mulching using the nitrogen model are as follows:

[0036] N2O release calculation formula:

[0037] ;

[0038] ;

[0039] In the formula, This represents the N2O emissions under biofilm mulching conditions. σ represents the N2O produced in farmland soil under unmulched conditions; σ represents the NH4+ in the soil slurry when the soil O2 concentration increases. + The concentration increase coefficient; NH4 is the NH4 in soil slurry. + The concentration of τ is the soil temperature reduction factor after the biofilm is damaged; T is the soil temperature.

[0040] The steps involved in obtaining greenhouse gas emissions from farmland under biofilm mulching using a denitrification sub-model are as follows:

[0041] CO2 production:

[0042] ;

[0043] ;

[0044] Amounts of N2 and N2O produced:

[0045] ;

[0046] ;

[0047] ;

[0048] ;

[0049] CH4 emissions:

[0050] ;

[0051] ;

[0052] In the formula, CO2 produced during denitrification under biofilm mulching conditions; This refers to the CO2 produced during denitrification under uncoated conditions. The inhibition coefficient represents the potential growth rate of denitrifying bacteria after denitrification is inhibited. This represents the potential growth rate of denitrifying bacteria; It is a consumable soluble C; This represents the total amount of consumable soluble C. The adsorption coefficient depends on the clay content in the soil and ranges from 0 to 2. The air fraction represents the total porosity. The coefficient representing the increase in total soil porosity after the degradation of the biofilm; Medium N2 produced in the soil under biofilm mulching conditions; This refers to the medium N2 produced in farmland soil under unmulched conditions; N2O produced in the soil under biofilm mulching conditions; N2O produced in farmland soil under uncovered conditions; This is the intrinsic rate constant for the rate of methane production; This refers to the concentration of decomposable heterotrophic organic carbon in the soil. This is a factor affecting the rate of methane production due to temperature. The influence of soil moisture on the rate of methane production; The effect of oxygen concentration on the rate of methane production; For biological mulch covering; It was bare land.

[0053] Preferably, the soil environmental parameters of the farmland specifically include soil moisture content, meteorological data, soil temperature, and soil organic matter content.

[0054] This invention also provides a system for estimating greenhouse gas emissions from farmland under biofilm mulching, specifically including:

[0055] The parameter acquisition module is used to acquire soil environmental parameters and biofilm degradation parameters of farmland under biofilm mulching conditions.

[0056] The degradation relationship module is used to obtain the relationship between the degradation products of biofilm by performing polynomial fitting on the degradation products of biofilm based on the soil environmental parameters of the farmland.

[0057] The model module is used to input the relationship between the degradation parameters of the biofilm and the degradation products of the biofilm into the denitrification-decomposition DNDC model to correct the model and obtain an estimation model for farmland greenhouse gas emissions that takes into account the dynamic degradation of biofilm.

[0058] The emission module is used to input the parameters of farmland under the biofilm cover to be detected into the farmland greenhouse gas emission estimation model to obtain the estimated total amount of various greenhouse gases produced by farmland under the biofilm cover condition.

[0059] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement any of the steps in the method for estimating greenhouse gas emissions from farmland under biofilm mulching.

[0060] The present invention also provides a computer-readable storage medium storing a computer program, characterized in that, when the computer program is loaded by a processor, it is capable of executing any of the steps in the method for estimating greenhouse gas emissions from farmland under biofilm mulching.

[0061] The method for estimating greenhouse gas emissions from farmland under biological mulch film provided by this invention has the following beneficial effects:

[0062] This invention calculates the relationship between biofilm degradation products by acquiring farmland environmental parameters, obtaining the relationship between biofilm degradation products under different environmental influence conditions. This provides more accurate data for model estimation. Based on the acquired biofilm degradation parameters and the relationship between biofilm degradation products, the denitrification-decomposition (DNDC) model is modified, establishing a model for estimating farmland greenhouse gas emissions under dynamic biofilm degradation conditions. This model yields the total amount of greenhouse gases produced by farmland under biofilm coverage, improving the monitoring accuracy of greenhouse gas emissions under biofilm coverage and providing a more accurate estimate of total greenhouse gas emissions. This provides fundamental data for subsequent farmland research, assisting in the prevention and control of rural non-point source pollution, and developing green agriculture. Attached Figure Description

[0063] To more clearly illustrate the embodiments and design schemes of the present invention, the accompanying drawings required for this embodiment will be briefly described below. The drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0064] Figure 1 This is a flowchart illustrating a method for estimating greenhouse gas emissions from farmland covered with biological mulch film, as described in this invention.

[0065] Figure 2 This is a technical roadmap for a method of estimating greenhouse gas emissions from farmland under biological mulch film, as described in Embodiment 1 of the present invention.

[0066] Figure 3 This is a diagram of an automatic greenhouse gas collection device for farmland in an embodiment of the present invention. Detailed Implementation

[0067] To enable those skilled in the art to better understand and implement the technical solutions of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and should not be construed as limiting the scope of protection of the present invention.

[0068] Example 1

[0069] This invention provides a method for estimating greenhouse gas emissions from farmland under biofilm mulching, the technical roadmap of which is shown below. Figure 2 As shown, the specific steps include:

[0070] S1. Parameter collection of farmland under biological mulch film covering.

[0071] (1) Soil moisture content: In the 0-20cm soil layer of farmland covered by biological mulch, a real-time soil moisture monitoring system is pre-buried. The monitoring data is transmitted in real time through its wireless module and processed by the data processing terminal. The monitoring equipment consists of a soil moisture sensor, a wireless transmission module, a data recording and processing module, and a solar battery.

[0072] (2) Meteorological data: A fully automatic meteorological monitoring system is set up in an open area 500m away from the farmland. The system transmits the monitoring data in real time through its wireless module and processes the meteorological data through a data processing terminal. The fully automatic meteorological monitoring system consists of a soil water and heat sensor, a meteorological parameter sensor, a wireless transmission module, and a solar battery.

[0073] (3) Damaged area of ​​plastic film: A plastic film damage rate monitoring system installed 20cm above the plastic film is used to take pictures of the damage at predetermined time intervals. The relevant images are uploaded to the data processing terminal, and the damaged area of ​​the plastic film is calculated using image automatic recognition and processing technology. The monitoring system consists of a high-definition camera monitoring, a wireless transmission module, an image and data processing module, and a solar battery.

[0074] (4) Soil organic matter content: Soil organic matter content data in the 0-20cm soil layer is continuously acquired through a wireless data acquisition system deployed in farmland. The acquisition system consists of a soil organic matter detector, a data recording and processing module, a wireless transmission module, and a solar battery.

[0075] (5) Soil temperature: Soil temperature data of the 0-20cm soil layer is continuously acquired in real time through a wireless soil temperature monitoring and acquisition system deployed in the farmland. The monitoring system consists of a soil temperature sensor, a data recording and processing module, a wireless transmission module, and a solar battery.

[0076] S2. Establish a database.

[0077] (1) Crop parameter database. Crop growth parameter database and crop types, including plant height and leaf area of ​​major crops in different climate zones, optimal temperature for crop growth, maximum temperature, maximum yield, minimum yield, and optimal fertilizer application rate.

[0078] (2) Soil parameter database. Latitude and longitude, soil stratification, organic matter content, field water holding capacity, wilting coefficient, pH value, etc.

[0079] (3) Meteorological parameter database. Maximum temperature, minimum temperature, rainfall, solar radiation, wind speed, and relative humidity. Meteorological data are sourced from a fully automated meteorological monitoring system located 500m from farmland and the China Meteorological Data Sharing Network.

[0080] (4) Field management measures database. Data on fertilization, irrigation, drainage, etc.

[0081] S3. Connect the collected parameter data to the database and automatically calculate the degradation time and degradation rate of the biofilm.

[0082] 1) Degradation time per unit area of ​​biofilm:

[0083] ;

[0084] In the formula, The area of ​​the biofilm. depending on ; For the particle load of biofilm; The thickness of the dry biological mulch film.

[0085] 2) Degradation rate of biofilm v :

[0086] ;

[0087] In the formula, This represents the area of ​​biofilm degradation.

[0088] S4. Based on environmental parameters and the decomposition principle of carbon and oxygen substances, determine the relationship between CO2, H2O and SOC, the degradation products of biofilm.

[0089] The degradation products of biofilms include CO2, H2O, and SOC. The relationship between these three varies depending on factors such as weather, soil type, and moisture content. Polynomial Fit was used to fit the degradation products of biofilms, and isotope tracking technology was combined to track the C and H elements in the biofilm, determining the CO2, H2O, and SOC produced during the degradation process and obtaining the relationship between them.

[0090] ;

[0091] ;

[0092] ;

[0093] In the formula, α, β, and γ are all proportionality coefficients, which are determined according to different soil moisture contents, different weather conditions, and different temperatures; This refers to the CO2 produced during the degradation of the biofilm per unit time. The amount of H2O produced per unit time during the degradation of the biofilm; The SOC generated during the degradation of biofilm per unit time; C M The carbon content in the biological mulch film; H M This represents the hydrogen content in the biological mulch film.

[0094] S5. Based on the geochemical model and combining the relationship between biofilm degradation parameters and biofilm degradation products, establish a model for estimating farmland greenhouse gas emissions under the condition of dynamic degradation of biofilm.

[0095] (1) Decomposition of sub-models:

[0096] Time t and rate of degradation of biofilm and decomposition of soil organic matter It is affected by moisture content, temperature and O2 concentration.

[0097] ;

[0098] ;

[0099] ;

[0100] ;

[0101] In the formula, R is the sum of the decomposition times of biofilm carbon matter and soil carbon pool carbon; M The amount of soil organic matter and carbon dioxide produced by the degradation of biofilm, and the total amount of decomposition residue; v M The total decomposition rate of biofilm carbon matter and soil carbon pool; A factor that reduces clay content; Reduce the rate for C:N; The composite cooling and dehumidification coefficient; K represents the unstable organic compounds in the library; K1 represents the decomposition rate of the unstable components; K r R is the resistance fraction representing the decomposition rate of the unstable component. C Total decomposition residue; Total denitrifying biomass; For the efficiency of microbial decomposition of residues; This refers to CO2 produced during the decomposition of residues.

[0102] (2) Nitrate model:

[0103] Nitrification is influenced by the degradation rate (v) of biofilm; when the biofilm degradation rate is fast, the oxygen content (O2) entering the soil increases, nitrification is promoted, and NO3 in the soil slurry increases. - The concentration of [something] increases. After the biological mulch film is damaged, its heat-insulating effect weakens, and soil temperature fluctuations increase.

[0104] N2O release calculation formula:

[0105] ;

[0106] ;

[0107] In the formula, This represents the N2O emissions under biofilm mulching conditions. σ represents the N2O produced in farmland soil under unmulched conditions; σ represents the NH4+ in the soil slurry when the soil O2 concentration increases. + The concentration increase coefficient; NH4 is the NH4 in soil slurry. + The concentration of τ is the soil temperature reduction factor after the biological mulch is damaged; T is the soil temperature.

[0108] (3) Denitrification model:

[0109] Denitrification is affected by the degradation rate of biofilm. v The effects of biofilm degradation: During the degradation of biofilm, the concentration of O2 in the soil increases, and denitrification is inhibited.

[0110] CO2 production:

[0111] ;

[0112] ;

[0113] Amounts of N2 and N2O produced:

[0114] ;

[0115] ;

[0116] ;

[0117] ;

[0118] CH4 emissions:

[0119] ;

[0120] ;

[0121] In the formula, CO2 produced during denitrification under biofilm mulching conditions; This refers to the CO2 produced during denitrification under uncoated conditions. The inhibition coefficient represents the potential growth rate of denitrifying bacteria after denitrification is inhibited. This represents the potential growth rate of denitrifying bacteria; It is a consumable soluble C; This represents the total amount of consumable soluble C. The adsorption coefficient depends on the clay content in the soil and ranges from 0 to 2. The air fraction represents the total porosity. The coefficient representing the increase in total soil porosity after the degradation of the biofilm; Medium N2 produced in the soil under biofilm mulching conditions; This refers to the medium N2 produced in farmland soil under unmulched conditions; N2O produced in the soil under biofilm mulching conditions; N2O produced in farmland soil under uncovered conditions; This is the intrinsic rate constant for the rate of methane production; This refers to the concentration of decomposable heterotrophic organic carbon in the soil. This is a factor affecting the rate of methane production due to temperature. It is a factor affecting the rate of methane production by soil moisture; It is a factor affecting the rate of methane production; For biological mulch covering; It was bare land.

[0122] This invention also provides an automatic greenhouse gas collection device for farmland soil, such as... Figure 3 As shown, the system includes: a collection bottle, a collection bucket with a base, a ventilation device, a data logger, a gas flow meter, a solenoid valve, and a magnetic suction device. By remotely controlling the opening and closing of the solenoid valve and the magnetic suction device, fully automated collection of greenhouse gases from the soil is achieved to verify the accuracy of the greenhouse gas estimation method proposed in this invention.

[0123] The advantages of the method for estimating greenhouse gas emissions from farmland under biofilm mulching conditions of the present invention are as follows: (1) A high-definition infrared camera mulch film damage monitoring system is installed at a vertical height of 20cm from the biofilm to continuously monitor the degradation and damage of the biofilm in real time, and the degradation area of ​​the biofilm is determined by using automated image recognition technology; (2) Biofilm degradation rate and damage rate factors are introduced to establish an estimation model for greenhouse gas emissions from farmland under the condition of dynamic degradation of biofilm, and accurately predict the CO2, N2O and CH4 emissions from farmland covered by biofilm.

[0124] Example 2

[0125] Field experiments were conducted in 2019–2020 at a comprehensive water-saving experimental station (107°18′E, 40°41′N). This station has a typical mid-latitude semi-arid continental climate, with an average annual precipitation of 138.8 mm, an average annual temperature of 6.8℃, large diurnal temperature range, and up to 3230 hours of sunshine, making it one of the regions with the longest sunshine hours in China. The experimental area is mainly composed of silty loam soil, with a soil bulk density of 1.42 g / cm³ in the 0–100 cm³ depth. -3 The field water holding capacity, effective soil moisture content, and wilting point soil moisture content were 0.36, 0.29, and 0.12 cm, respectively. 3 cm -3 The total nitrogen, total phosphorus, and total potassium content (by mass) of the soil were 0.1%, 0.08%, and 1.7%, respectively, the organic matter content was 1.2%, and the pH value was 7.6.

[0126] The maize was sown on May 4, 2019, and May 10, 2020, with growth periods of 140 and 145 days, respectively. The planting method was "one film, one pipe, two rows," using biological mulch film (0.008 mm thick, 80 cm wide). Irrigation was full irrigation, with 9 and 7 irrigations in the two years, respectively. The drip irrigation tape used had a designed flow rate of 2.4 L / h. -1 A 30cm spacing drip irrigation system was used, with a water meter (accuracy 0.001) to monitor water flow. The base fertilizer mainly consisted of urea, diammonium phosphate, and potassium sulfate, with 120 kg / ha of diammonium phosphate and potassium sulfate applied each. -1 The urea application rate was 20% of the total nitrogen. Topdressing was done with liquid urea fertilizer (N: 32%), applied at the jointing stage, tasseling stage, and grain-filling stage, accounting for 20%, 30%, and 20% of the total nitrogen, respectively. Each treatment was replicated three times, with plots 20 m long and 4 m wide.

[0127] Comparative Example 1: The greenhouse gas emissions from farmland covered with biological mulch film were monitored using static dark box-gas chromatography analysis and the measured values ​​were used as the actual values.

[0128] Comparative Example 2 uses the DNDC model, CENTURY model and Roth-C model to estimate greenhouse gas emissions from farmland covered with biofilm.

[0129] Table 1. Comparison of simulation accuracy of different greenhouse gas models for farmland covered with biodegradable plastic film.

[0130]

[0131] As shown in Table 1, statistical analysis reveals that the simulated values ​​and measured values ​​of the four farmland greenhouse gas emission estimation models are quite close. Among them, the estimation accuracy of this invention is the highest, with the statistical parameter determination coefficient (R²) being the lowest. 2 The mean relative error (MRE) and the consistency index (IA) are 0.85–0.88, 9.6%–9.8%, and 0.95–0.97, respectively. Overall, the estimation accuracy of this invention is 16.7% higher than that of existing methods.

[0132] This invention also provides a system for estimating greenhouse gas emissions from farmland under biofilm mulching, specifically including:

[0133] The parameter acquisition module is used to acquire soil environmental parameters and biofilm degradation parameters of farmland under biofilm mulching conditions.

[0134] The degradation relationship module is used to obtain the relationship between biofilm degradation products by performing polynomial fitting on the biofilm degradation products based on the soil environmental parameters of farmland.

[0135] The model module is used to input the relationship between biofilm degradation parameters and biofilm degradation products into the denitrification-decomposition DNDC model to correct the model and obtain an estimation model for farmland greenhouse gas emissions that takes into account the dynamic degradation of biofilm.

[0136] The emissions module is used to input the parameters of farmland under the biofilm mulch to be tested into the farmland greenhouse gas emissions estimation model to obtain the estimated total amount of various greenhouse gases produced by farmland under the biofilm mulch conditions.

[0137] The modules in the above-mentioned system for estimating greenhouse gas emissions from farmland under biological mulch cover can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0138] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory. The processor executes the computer program to implement the steps in an embodiment of a method for estimating greenhouse gas emissions from farmland under biofilm mulching conditions. Specific implementation methods can be found in the method embodiments, and will not be repeated here.

[0139] Furthermore, the present invention also provides a non-transitory computer-readable storage medium containing instructions, on which a computer program is stored. For example, a memory containing instructions that can be executed by a processor of a computer device to perform the above-described method. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc. When the computer program is executed by the processor, it can implement the steps in an embodiment of a method for estimating greenhouse gas emissions from farmland under biofilm mulching conditions. Specific implementation methods can be found in the method embodiments, which will not be repeated here.

[0140] Those skilled in the art will understand that embodiments of the present invention can provide methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0141] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0142] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0143] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0144] It should be noted that the specific embodiments described above enable those skilled in the art to more fully understand the present invention, but do not limit the present invention in any way. Therefore, although the present invention has been described in detail in this specification and embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the present invention; and all technical solutions and improvements that do not depart from the spirit and scope of the present invention are covered within the protection scope of the present invention patent. No reference numerals in the claims should be construed as limiting the scope of the claims. Any simple variations or equivalent substitutions of technical solutions that can be readily obtained by those skilled in the art within the scope of the technology disclosed in the present invention are within the protection scope of the present invention.

Claims

1. A method for estimating greenhouse gas emissions from farmland under biological mulch film, characterized in that, Includes the following steps: To obtain historical soil environmental parameters and biofilm degradation parameters of farmland under biofilm mulching conditions; Based on the historical soil environmental parameters of the farmland, a polynomial fitting was performed on the biofilm degradation products to obtain the relationships between them. Specifically, isotope tracing technology was used to track the C and H elements in the biofilm to determine the CO2, H2O, and SOC generated during the biofilm degradation process. A polynomial fitting method was then used to fit the biofilm degradation products to obtain the relationships among these three elements. The specific relationships between the biofilm degradation products are as follows: ； ； ； In the formula, α, β, and γ are all proportionality coefficients, which are determined according to different soil moisture contents, different weather conditions, and different temperatures; This refers to the CO2 produced during the degradation of the biofilm per unit time. The amount of H2O produced per unit time during the degradation of the biofilm; The SOC generated during the degradation of biofilm per unit time; C M The carbon content in the biofilm; H M This refers to the hydrogen content in the biological mulch film. The relationship between the biofilm degradation parameters and the biofilm degradation products is input into the denitrification-decomposition DNDC model to correct the model, resulting in an estimation model for farmland greenhouse gas emissions that takes into account the dynamic degradation of biofilm. The parameters of the farmland under the biofilm mulch to be tested are input into the farmland greenhouse gas emission estimation model to obtain the estimated total amount of various greenhouse gases produced by the farmland under the biofilm mulch condition.

2. The method for estimating greenhouse gas emissions from farmland under biological mulch film as described in claim 1, characterized in that, The specific parameters for biofilm degradation include: the degradation rate of the biofilm and the degradation area of ​​the biofilm.

3. The method for estimating greenhouse gas emissions from farmland under biological mulch film as described in claim 2, characterized in that, Obtaining the degradation area of ​​the biofilm specifically includes the following steps: Continuously acquire images of the degradation and damage process of biofilm in farmland; Automated image recognition technology was used to process images of the degradation and damage process of biofilm. The images were converted into grayscale images, and an adaptive thresholding method was used to binarize the grayscale images to find the outline of the biofilm and obtain a binarized image. The degradation area of ​​the biofilm was obtained from the binarized image.

4. The method for estimating greenhouse gas emissions from farmland under biological mulch film as described in claim 2, characterized in that, Obtaining the degradation rate of the biofilm specifically includes the following steps: Degradation time per unit area of ​​biofilm: ； In the formula, The area of ​​the biofilm. depending on ; For the particle load of biofilm; The thickness of the dry biological mulch film; The degradation rate of biofilm was obtained based on the degradation area and degradation time per unit area of ​​biofilm. v : ； In the formula, This represents the area of ​​biofilm degradation.

5. The method for estimating greenhouse gas emissions from farmland under biological mulch film as described in claim 1, characterized in that, The farmland greenhouse gas emission estimation model specifically includes a decomposer model, a nitrifier model, and a denitrifier model; Obtaining greenhouse gas emissions from farmland covered with biological mulch film using a sub-model involves the following steps: Time t and rate of degradation of biofilm and decomposition of soil organic matter The following formula is used to calculate the effect of moisture content, temperature, and O2 concentration: ； ； ； ； In the formula, R is the sum of the decomposition times of biofilm carbon matter and soil carbon pool carbon; M The amount of soil organic matter and carbon dioxide produced by the degradation of biofilm, and the total amount of decomposition residue; v M The total decomposition rate of biofilm carbon matter and soil carbon pool; A factor that reduces clay content; Reduce the rate for C:N; The composite cooling and dehumidification coefficient; K represents the unstable organic compounds in the library; K1 represents the decomposition rate of the unstable components; K r R is the resistance fraction representing the decomposition rate of the unstable component. C Total decomposition residue; Total denitrifying biomass; For the efficiency of microbial decomposition of residues; CO2 during the decomposition of residues; The steps involved in obtaining greenhouse gas emissions from farmland under biofilm mulching using the nitrogen model are as follows: N2O release calculation formula: ； ； In the formula, This represents the N2O emissions under biofilm mulching conditions. σ represents the N2O produced in farmland soil under unmulched conditions; σ represents the NH4+ in the soil slurry when the soil O2 concentration increases. + The concentration increase coefficient; NH4 is the NH4 in soil slurry. + The concentration of τ is the soil temperature reduction factor after the biofilm is damaged; T is the soil temperature. Obtaining greenhouse gas emissions from farmland under biofilm mulching conditions using a denitrification sub-model includes the following steps: CO2 production: ； ； Amounts of N2 and N2O produced: ； ； ； ； CH4 emissions: ； ； In the formula, CO2 produced during denitrification under biofilm mulching conditions; This refers to the CO2 produced during denitrification under uncoated conditions. The inhibition coefficient represents the potential growth rate of denitrifying bacteria after denitrification is inhibited. This represents the potential growth rate of denitrifying bacteria; It is a consumable soluble C; This represents the total amount of consumable soluble C. The adsorption coefficient depends on the clay content in the soil and ranges from 0 to 2. The air fraction represents the total porosity. The coefficient representing the increase in total soil porosity after the degradation of the biofilm; Medium N2 produced in the soil under biofilm mulching conditions; This refers to the medium N2 produced in farmland soil under unmulched conditions; N2O produced in the soil under biofilm mulching conditions; N2O produced in farmland soil under uncovered conditions; This is the intrinsic rate constant for the rate of methane production; This refers to the concentration of decomposable heterotrophic organic carbon in the soil. This is a factor affecting the rate of methane production due to temperature. The influence of soil moisture on the rate of methane production; The effect of oxygen concentration on the rate of methane production; For biological mulch covering; It was bare land.

6. The method for estimating greenhouse gas emissions from farmland under biofilm mulching according to claim 1, characterized in that, The soil environmental parameters of the farmland specifically include soil moisture content, meteorological data, soil temperature, and soil organic matter content.

7. A system for estimating greenhouse gas emissions from farmland under biofilm mulching, characterized in that, include: The parameter acquisition module is used to acquire soil environmental parameters and biofilm degradation parameters of farmland under biofilm mulching conditions. The degradation relationship module is used to perform polynomial fitting on the degradation products of biofilm based on the soil environmental parameters of the farmland to obtain the relationship between the degradation products. Specifically, it uses isotope tracking technology to track the C and H elements in the biofilm, determines the CO2, H2O, and SOC generated during the degradation process, and uses polynomial fitting to fit the degradation products to obtain the relationship between the three. The relationship between the degradation products of biofilm is as follows: ； ； ； In the formula, α, β, and γ are all proportionality coefficients, which are determined according to different soil moisture contents, different weather conditions, and different temperatures; This refers to the CO2 produced during the degradation of the biofilm per unit time. The amount of H2O produced per unit time during the degradation of the biofilm; The SOC generated during the degradation of biofilm per unit time; C M The carbon content in the biofilm; H M This refers to the hydrogen content in the biological mulch film. The model module is used to input the relationship between the biofilm degradation parameters and the biofilm degradation products into the denitrification-decomposition DNDC model to correct the model and obtain a farmland greenhouse gas emission estimation model that considers the dynamic degradation of biofilm. The emission module is used to input the parameters of farmland under the biofilm cover to be detected into the farmland greenhouse gas emission estimation model to obtain the estimated total amount of various greenhouse gases produced by farmland under the biofilm cover condition.

8. A computer device, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is loaded by the processor, it is able to perform the steps of the method according to any one of claims 1 to 6.

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