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CN-121168843-B - Visual straw utilization characteristic analysis method and system

CN121168843BCN 121168843 BCN121168843 BCN 121168843BCN-121168843-B

Abstract

The invention discloses a visual straw utilization characteristic analysis method and a visual straw utilization characteristic analysis system, which belong to the field of carbon emission of soil, wherein the method comprises the steps of collecting physical and chemical property data of soil and characteristic data of different types of decomposed straw, preprocessing the collected data, and constructing a comprehensive database; the method comprises the steps of processing data in a comprehensive database through biochar by utilizing a characteristic analysis model, simulating a soil carbon circulation dynamic process after applying corresponding types of decomposed straws to obtain key variable data, traversing a time sequence in the comprehensive database according to the calculated key variable data, calculating carbon fixation efficiency, microbial activity and physical protection intensity to obtain enhanced time sequence data, and rendering the enhanced time sequence data and the key variable data as data sources to obtain a visual map. The invention improves the calculation precision and accuracy of the carbon emission flux and the accumulation amount of the soil.

Inventors

  • LIU XINGREN
  • XU ZIHAN

Assignees

  • 中国农业科学院农业环境与可持续发展研究所

Dates

Publication Date
20260512
Application Date
20250910

Claims (9)

  1. 1. The visual straw utilization characteristic analysis method is characterized by comprising the following steps of: S100, collecting physical and chemical property data of soil and characteristic data of different types of decomposed straws, preprocessing the collected data, and constructing a comprehensive database; S200, processing data in a comprehensive database through a biochar utilization characteristic analysis model, simulating a soil carbon circulation dynamic process after applying corresponding types of decomposed straws to obtain key variable data, The biological carbon uses a characteristic analysis model and takes a microbial activity field as a central coupling amount, takes the concentration of residual carbon in straw, the concentration of soluble organic carbon, the carbon density of microbial biomass and the accumulation amount of stable organic carbon as key variables, and constructs a coupling differential equation of the four key variables, so that biological, chemical and physical processes in the soil carbon circulation process are coupled; S300, traversing the time sequence in the comprehensive database according to the calculated key variable data, calculating the carbon fixation efficiency, the microbial activity and the physical protection intensity to obtain enhanced time sequence data, S400, rendering the enhanced time sequence data and the key variable data serving as data sources to obtain a visual map; the coupled differential equation includes: The straw decomposition kinetic equation describing the concentration change of the residual carbon of the straw is constructed by attributing the dynamic change of the residual carbon of the straw into two main core processes of biochemical reaction in situ and physical transportation in space; A soluble organic carbon migration-transformation equation describing the concentration of soluble organic carbon, based on a source-sink-transport equilibrium, using soluble organic carbon as an intermediate product, the concentration of which varies depending on the dynamic equilibrium of the source-sink-transport process, sources decomposed from straw, sinks consumed by microorganisms, and transport physically diffused in soil, constructed; Microorganism growth equations describing the biomass carbon density of microorganisms are constructed by attributing the dynamic changes of microbiota to three core life processes, growth with resource-soluble organic carbon, natural death attenuation, and active space migration to find a more optimal survival environment; A stable organic carbon stabilization equation describing the amount of accumulation of stable organic carbon is constructed by stabilizing the main sources of organic carbon, biological and chemical pathways, and taking into account the slow decomposition process of this portion of carbon The straw decomposition kinetic equation is shown as follows: , Wherein, the As a partial differential sign of the partial differential, Is the concentration of residual carbon in the straw, In order to be able to take time, Representing the change rate of the residual carbon concentration of the straw; As a function of the base decomposition rate constant, In order to be able to determine the temperature, Representing a basal rate constant affected by temperature; is a rejection function of carbon-nitrogen ratio; Is an inhibitor of lignin content; in order to be able to act as an active field for the microorganisms, Is the diffusion coefficient of the straw particles, For the depth of the soil, Representing the second partial derivative in the depth of the carbon concentration of the straw, representing the intensity of diffusion.
  2. 2. The method for analyzing the utilization characteristics of the visualized straw according to claim 1, wherein the data of the physicochemical properties of the soil comprise soil moisture content, soil pH value, soluble organic carbon, microbial biomass carbon, content of soil stable organic carbon, content of amino sugar in the soil, lignin phenol content and soil aggregate; the characteristic data of the decomposed straw comprise the carbon-nitrogen ratio, lignin content, cellulose content, addition amount, decomposition degree index and particle size distribution of the straw.
  3. 3. The method for analyzing the utilization characteristics of the visualized straw according to claim 1, wherein the preprocessing comprises identifying and processing errors, missing values and abnormal values in the data, ensuring the accuracy and reliability of the data, And the data is normalized using the Z-score algorithm.
  4. 4. The method for analyzing the utilization characteristics of the visualized straw according to claim 1, wherein, The soluble organic carbon migration-transformation equation is shown as follows: , Wherein, the In order to dissolve the organic carbon in the solvent, Represents the rate of change of the concentration of soluble organic carbon over time; the conversion coefficient of the soluble organic carbon is generated for the decomposition of the straw, Is the maximum absorption rate of the microorganism to the soluble organic carbon; Is a Mie constant; density of carbon for microbial biomass; is the diffusion coefficient of the soluble organic carbon in the soil solution; The microorganism growth equation is shown as follows: , Wherein, the Represents the rate of change of the microbial biomass carbon density over time; as a coefficient of the productivity of the microorganism, Is the decay rate constant of the microorganism; Is a divergence operator; Is the directional migration velocity of the microorganism; the stable organic carbon stabilization equation is shown as follows: , Wherein, the In order to stabilize the accumulation amount of organic carbon, Represents the rate of change of the accumulation amount of stable organic carbon over time; for the efficiency of conversion of microbial residues into stable organic carbon, To stabilize the ratio of organic carbon to stable organic carbon converted by chemical complexation, In order to stabilize the slow decomposition weight of the organic carbon, Indicating a slow rate of decomposition of the stabilized organic carbon itself.
  5. 5. The method according to claim 4, wherein the microbial activity field is a nonlinear multi-factor comprehensive evaluation function, and a comprehensive activity index is calculated by the biology, environment and physical state at the current moment, and the calculated value is used as a key coupling variable of a coupling differential equation.
  6. 6. The method for analyzing the utilization characteristics of visual straws according to claim 5, wherein the microbial activity field is represented by the following formula: , Wherein, the Representing the microbial activity field at depth z and time t, Is a natural constant which is used for the production of the high-temperature-resistant ceramic material, Is the maximum activity value; as an influencing factor for the population of microorganisms, As a factor of the influence of the environment, Is a soil structure influencing factor.
  7. 7. The method according to claim 6, wherein the microbial population influence factors reflect the maturity and size of the microbial community together by microbial entropy and biomass; the environmental impact represents the negative impact on activity when temperature and moisture deviate from the appropriate values for the environment; the soil structure influencing factors represent the influence of the soil structure on the microbial activity.
  8. 8. The method for analyzing the utilization characteristics of visual straws according to claim 7, wherein, The microbial population influencing factors are calculated by the following formula: , the environmental impact factor is calculated by the following formula: , The soil structure influencing factors are calculated by the following formula: , Wherein, the Is the weight of the microorganism entropy, Is the microbial entropy; as a weight for the temperature, As the weight of the soil moisture, the water content, For the moisture content of the soil, Is the weight of the soil structure and is used for the soil structure, Is a soil structure index.
  9. 9. A visual straw utilization characteristic analysis system, the straw utilization characteristic analysis system comprising: A processor; A memory storing a computer program which, when executed by a processor, implements the visual straw utilization characteristic analysis method according to any one of claims 1 to 8.

Description

Visual straw utilization characteristic analysis method and system Technical Field The invention relates to the field of carbon emission of soil, in particular to a method and a system for analyzing utilization characteristics of visual straws. Background Straw returning is used as an important farmland ecological management measure and is widely applied to crop rotation agricultural production systems. The traditional straw returning technology mainly comprises modes of direct returning, crushing returning, straw covering and the like, and the methods improve the soil structure and promote the soil fertility to be improved by increasing the organic matter content of the soil. However, the existing straw returning technology often lacks a systematic carbon emission assessment mechanism in the application process, and the comprehensive influence of straw returning on the carbon emission of soil is difficult to accurately reflect. Meanwhile, the current farmland carbon emission monitoring mainly depends on means such as a static air chamber method and a vorticity correlation method, and the methods have the limitations of insufficient space-time resolution, high monitoring cost, complex data interpretation and the like in the measuring process. And the soil carbon circulation process is complex and changeable due to crop type conversion and seasonal change, and the comprehensive influence of straw returning on the soil carbon emission is difficult to be accurately reflected by the existing single factor or linear model. Therefore, how to construct a device which can comprehensively consider multidimensional factors such as microbial activity, environmental factors, crop growth parameters and the like, and realize accurate quantification and prediction of soil carbon emission under different straw returning treatment modes becomes a key technical problem to be solved in the current farmland carbon management field. Meanwhile, how to intuitively display the dynamic change characteristics of the carbon circulation of the soil through a visual means provides more scientific decision support for agricultural production and is a problem to be solved currently. Disclosure of Invention The invention aims to provide a visual straw utilization characteristic analysis method, which aims to solve the problem that a single factor or a linear model in the prior art is difficult to accurately reflect the comprehensive influence of straw returning on soil carbon emission. The visual straw utilization characteristic analysis method comprises the following steps of S100, collecting soil physicochemical property data and characteristic data of different types of decomposed straw, preprocessing the collected data, constructing and obtaining a comprehensive database, S200, processing data in the comprehensive database through a biochar utilization characteristic analysis model, simulating a soil carbon circulation dynamic process after applying the corresponding type of decomposed straw, obtaining key variable data, wherein the biochar utilization characteristic analysis model takes a microbial activity field as a central coupling amount, takes straw residual carbon concentration, soluble organic carbon concentration, microbial biomass carbon density and stable organic carbon accumulation amount as key variables, and constructs a coupling differential equation of the four key variables, so that biological, chemical and physical processes in the soil carbon circulation process are coupled, S300, traversing time sequence in the comprehensive database according to the calculated key variable data, calculating carbon fixation efficiency, microbial activity and physical protection intensity, obtaining enhanced time sequence data, and taking the enhanced time sequence data and the key variable data as a visual data source, and obtaining a rendering graph. Further, the soil physicochemical property data comprise soil water content, soil pH value, soluble organic carbon, microbial biomass carbon, soil organic carbon, soil stable organic carbon content, soil amino sugar content, lignin phenol content and soil aggregate, and the characteristic data of the decomposed straw comprise carbon nitrogen ratio, lignin content, cellulose content, addition amount, decomposition degree index and particle size distribution of the straw. Further, preprocessing includes identifying and processing errors, missing values, and outliers in the data, ensuring accuracy and reliability of the data, and normalizing the data using a Z-score algorithm. Further, the coupled differential equation includes a straw decomposition kinetic equation describing a change in concentration of the residual carbon of the straw, constructed by two core processes of biochemical reaction in situ and physical transport in space, a soluble organic carbon migration-conversion equation describing a concentration of the soluble organic carbon, constructed based on source-sink-transpor