Water-carbon coordinated scheduling low-carbon ecological circular agricultural system and method

Abstract

The application provides a water-carbon coordinated scheduling low-carbon ecological circulation agricultural system and method, relates to the field of ecological circulation agriculture, and specifically aims at the range of a target agricultural system, generates a digital agricultural ecological model according to the range of the target agricultural system; collects corresponding ecological parameters in the range of the target agricultural system, and adjusts the digital agricultural ecological model in real time according to the ecological parameters; divides the target agricultural system into multiple subsystems, analyzes carbon sink parameters in each subsystem and the target agricultural system, and obtains a carbon fixation index of the current target agricultural system; sets a carbon sink target, simulates by using the digital agricultural ecological model, analyzes a circulation strategy required for realizing the carbon sink target, and realizes the water-carbon coordinated scheduling agricultural system according to the circulation strategy. The water-carbon coordinated scheduling low-carbon ecological circulation agricultural system and method can realize the cooperation of the maximization of agricultural carbon sink and the efficient use of water resources.

Description

Technical Field

[0001] This invention relates to the field of ecological circular agriculture, and in particular to a water-carbon coordinated scheduling low-carbon ecological circular agriculture system and method. Background Technology

[0002] The separation of carbon sequestration and water resource management objectives, or optimization based solely on a single indicator (such as yield), often leads to a disconnect between water resource and carbon sequestration management in agriculture. This results in over-irrigation (wasting water resources) or underutilization of carbon sequestration potential. Traditional hydrological and crop models operate independently (e.g., SWAT only simulates the water cycle, DSSAT only simulates crop growth), with statically set parameters, making it difficult to cope with weather fluctuations or changes in system state. Existing carbon sequestration calculations often ignore implicit carbon inputs such as purchased fertilizers and agricultural machinery fuel, overestimating the system's net carbon sequestration. Traditional methods, focusing solely on yield or carbon sequestration, lead to water resource overload or poor economic efficiency. Summary of the Invention

[0003] The purpose of this invention is to provide a water-carbon coordinated scheduling low-carbon ecological circular agriculture system and method. Through system modeling, data assimilation, multi-objective optimization and dynamic feedback, it realizes the synergy of maximizing agricultural carbon sequestration and efficient water resource utilization, promotes the transformation of farmland ecosystems towards a "high carbon sequestration, low emission, strong circulation" model, and has ecological benefits, economic benefits and technical feasibility.

[0004] To achieve the above objectives, this invention provides a method for water-carbon synergistic scheduling in low-carbon ecological circular agriculture, comprising the following steps:

[0005] Define the scope of the target agricultural system and generate a digital agricultural ecosystem model based on the scope of the target agricultural system;

[0006] Collect relevant ecological parameters within the scope of the target agricultural system, and adjust the digital agricultural ecological model in real time according to the ecological parameters;

[0007] The target agricultural system is divided into multiple subsystems, and the carbon sink parameters of each subsystem and the target agricultural system are analyzed to obtain the carbon sequestration index of the current target agricultural system.

[0008] Set carbon sequestration targets, and use digital agricultural ecological models to simulate and analyze the recycling strategies needed to achieve carbon sequestration targets based on the carbon sequestration index, ecological parameters, and meteorological parameters of the current target agricultural system.

[0009] An agricultural system that achieves coordinated water and carbon management based on a cyclical strategy.

[0010] Preferably, the target agricultural system is divided into multiple subsystems, including

[0011] Divided by functional modules: including planting subsystem, aquaculture subsystem, water conservancy subsystem, waste treatment subsystem, and carbon sequestration buffer subsystem.

[0012] Preferred method for calculating the carbon sequestration index:

[0013] ;

[0014] ;

[0015] This indicates the amount of water consumed for irrigation and precipitation;

[0016] in, This represents the total net carbon sequestration. Represents the total area of ​​the system. This represents the net carbon sink over the past three years.

[0017] Preferably, based on the carbon sequestration index, ecological parameters, and meteorological parameters of the current target agricultural system, a digital agricultural ecological model is used for simulation to analyze the cycle strategies required to achieve the carbon sequestration target, including the following steps:

[0018] Using carbon sequestration index, ecological parameters, meteorological parameters, and digital agricultural ecological models, a short-term simulation period is set based on the crops planted in the planting subsystem, and a long-term simulation period is set based on the crops planted in the carbon sink buffer subsystem.

[0019] Based on the simulation results of the short-term simulation period, the irrigation water volume and irrigation method for the current planting subsystem are determined; at the same time, the crop types in the planting subsystem for the next stage are adjusted according to the carbon sequestration target for the next stage.

[0020] Preferred digital agricultural ecosystem models include:

[0021] The crop model and the hydrological model are coupled with ecological parameters. The hydrological model outputs soil parameters from the daily ecological parameters to the crop model as the water stress factor of the crop model DSSAT. The soil parameters include soil moisture content, surface runoff, and deep permeability.

[0022] The crop model outputs crop parameters from the ecological parameters to the hydrological model, dynamically adjusting the CN value and surface roughness of the hydrological model's SWAT; the crop parameters include crop canopy coverage and root distribution;

[0023] The study quantifies soil respiration, crop carbon sequestration, and organic fertilizer decomposition in the target agricultural system, and combines material flow analysis based on crop and hydrological models to track carbon flow paths during simulation.

[0024] Preferably, the carbon sequestration index and water consumption generated in each simulation are compared with the current carbon sequestration target, including...

[0025] When the carbon sequestration target for the current stage is reached, if the ratio of carbon sequestration index to water consumption is less than or equal to the first threshold, water storage is required; if the ratio of carbon sequestration index to water consumption is greater than the first threshold, water storage is not required.

[0026] When the carbon sequestration target for the current stage is not achieved, analyze the factors affecting the carbon sequestration index, including crop growth, the carbon sequestration capacity of the crop itself, and the crop planting area.

[0027] Crop growth: Analyze whether to increase irrigation or fertilizer application based on meteorological factors;

[0028] The carbon sequestration capacity of the crop itself: After the current cycle of the crop ends, a different crop is used in the next cycle for simulation in order to achieve the carbon sequestration target;

[0029] Crop planting area: Increase the crop planting area.

[0030] A water-carbon coordinated low-carbon ecological circular agriculture system includes:

[0031] The model building module is used to define the scope of the target agricultural system, generate a digital agricultural ecological model based on the scope of the target agricultural system, collect relevant ecological parameters within the scope of the target agricultural system, and adjust the digital agricultural ecological model in real time according to the ecological parameters.

[0032] The carbon sequestration determination module is used to divide the target agricultural system into multiple subsystems, analyze the carbon sequestration parameters of each subsystem and the target agricultural system, and obtain the carbon sequestration index of the current target agricultural system.

[0033] The analysis module is used to set carbon sequestration targets. Based on the carbon sequestration index, ecological parameters, and meteorological parameters of the current target agricultural system, it uses a digital agricultural ecological model to simulate and analyze the recycling strategies required to achieve the carbon sequestration targets.

[0034] The adjustment module is used in agricultural systems to achieve coordinated water and carbon scheduling based on a cyclical strategy.

[0035] Therefore, the present invention employs the above-mentioned water-carbon synergistic scheduling low-carbon ecological circular agriculture system and method, and the technical effects are as follows:

[0036] Carbon sequestration efficiency improvement: By dividing the system into subsystems and accurately calculating carbon sequestration parameters (such as carbon sequestration from planting, carbon emissions from animal husbandry, and resource utilization of waste), the net carbon sequestration of the entire system can be maximized. For example, replacing coal with straw biogasification can reduce CO2 emissions by 300 kg / ton, and the annual carbon sequestration of protective forest belts can reach 5-10 tons / hectare.

[0037] Water resource utilization optimization: Dynamic regulation based on digital model coupling (SWAT-DSSAT) can improve water productivity (WUE) by 20%-30%. For example, deficit irrigation strategies can reduce ineffective water consumption by 30% while maintaining stable yield.

[0038] Circular economy closed loop: Waste treatment subsystems (such as biogas power generation and organic fertilizer return to the field) realize carbon interception and resource regeneration, reduce dependence on external fertilizers, and reduce implicit carbon input.

[0039] Enhanced resilience: By controlling the stability of the carbon sequestration index (σ_C<0.2) and the dynamic threshold of the water-carbon ratio, a balance is struck between carbon sequestration targets and water resource security under extreme weather conditions such as droughts and floods. For example, the capacity adjustment of reservoirs is automatically triggered before the rainy season.

[0040] Adaptive feedback mechanism: When the target is not met, priority is given to replacing low carbon sequestration crops (such as rice → drought-resistant corn), optimizing crop rotation (intercropping leguminous and grassy crops), or expanding the area of ​​high carbon sink tree species to achieve closed-loop optimization of the strategy.

[0041] Breakthrough in model coupling: Two-way interaction between hydrological and crop models (such as SWAT outputting soil parameters to drive DSSAT, and DSATT feeding back LAI to correct SWAT parameters), which solves the defect of traditional single models that ignore the linkage of ecological processes.

[0042] Dynamic threshold control: The water-carbon ratio threshold is adaptively adjusted based on meteorological forecasts (such as rainfall) and system conditions (such as soil moisture content) to avoid resource waste or target deviation caused by static thresholds. Attached Figure Description

[0043] Figure 1 This is a flowchart of a water-carbon coordinated scheduling method for low-carbon ecological circular agriculture according to the present invention. Detailed Implementation

[0044] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0045] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0046] Example 1

[0047] like Figure 1 As shown, a method for water-carbon coordinated scheduling in low-carbon ecological circular agriculture includes the following steps:

[0048] Define the scope of the target agricultural system and generate a digital agricultural ecosystem model based on the scope of the target agricultural system;

[0049] Collect relevant ecological parameters within the scope of the target agricultural system, and adjust the digital agricultural ecological model in real time according to the ecological parameters;

[0050] The target agricultural system is divided into multiple subsystems, and the carbon sink parameters of each subsystem and the target agricultural system are analyzed to obtain the carbon sequestration index of the current target agricultural system.

[0051] The target agricultural system is divided into multiple subsystems, including:

[0052] Divided by functional modules: including planting subsystem (such as paddy field area, greenhouse vegetable area), breeding subsystem (pig farm, fish pond), water conservancy subsystem (irrigation network, rainwater collection pond), waste treatment subsystem (straw composting station, biogas fermentation tank), and carbon sink buffer subsystem (protective forest belt, artificial wetland).

[0053] The division is based on the carbon cycle characteristics of each module (e.g., the planting subsystem is mainly for carbon fixation, while the breeding subsystem is mainly for carbon emissions), spatial independence (e.g., the physical isolation distance between the breeding area and the planting area), and the boundary of the management unit (e.g., the plots of land managed by the same farmer are considered as one subsystem).

[0054] Subsystem carbon sink parameters:

[0055] Planting subsystem: Net carbon sink is calculated using the formula “biomass carbon storage - respiration carbon emissions”, where biomass carbon storage = Σ (biomass of each organ × carbon content coefficient) (e.g., carbon content of leaves is taken as 45% and carbon content of roots is taken as 42%), and respiration carbon emissions are averaged by continuously monitoring for 72 hours during the peak crop growing season using a portable photosynthesis instrument.

[0056] Livestock farming subsystem: Total carbon emissions are calculated based on "methane emissions from livestock and poultry intestines + carbon emissions from manure decomposition," with methane emissions using the IPCC-recommended Tier 2 method (e.g., 600 liters of methane per dairy cow per day), and manure carbon emissions measured using the static chamber method. Waste conversion zone: The sum of "biogas carbon utilization (carbon reduction by replacing coal combustion) + carbon retention from returning organic fertilizer to the field" is calculated. For example, 1 ton of straw produces 150 cubic meters of biogas, which can replace 120 kg of standard coal, reducing CO2 emissions by 300 kg.

[0057] Total system carbon sink parameter: The total system net carbon sink is obtained by summing up the net carbon sink of each subsystem (negative values ​​indicate carbon emissions) and deducting the implicit carbon input from outside the system (such as carbon emissions from the production of purchased fertilizers and carbon emissions from agricultural machinery fuel).

[0058] Carbon sequestration index calculation:

[0059] ;

[0060] ;

[0061] This indicates the amount of water consumed for irrigation and precipitation;

[0062] in, This represents the total net carbon sequestration. Represents the total area of ​​the system. This indicates the net carbon sink over the past three years.

[0063] To set carbon sequestration targets, based on the current carbon sequestration index, ecological parameters, and meteorological parameters of the target agricultural system, a digital agricultural ecological model is used for simulation to analyze the necessary recycling strategies to achieve the carbon sequestration targets. This includes the following steps:

[0064] Using carbon sequestration index, ecological parameters, meteorological parameters, and digital agricultural ecological models, a short-term simulation period is set based on the crops planted in the planting subsystem, and a long-term simulation period is set based on the crops planted in the carbon sink buffer subsystem.

[0065] Based on the simulation results of the short-term simulation period, the irrigation water volume and irrigation method for the current planting subsystem are determined; at the same time, the crop types in the planting subsystem for the next stage are adjusted according to the carbon sequestration target for the next stage.

[0066] Digital agricultural ecosystem models include:

[0067] The crop model and the hydrological model are coupled with ecological parameters. The hydrological model outputs soil parameters from the daily ecological parameters to the crop model as the water stress factor of the crop model DSSAT. The soil parameters are soil moisture content, surface runoff, and deep permeability.

[0068] The crop model outputs crop parameters from the ecological parameters to the hydrological model, dynamically adjusting the CN value and surface roughness of the hydrological model's SWAT; the crop parameters include crop canopy coverage and root distribution;

[0069] The study quantifies soil respiration, crop carbon sequestration, and organic fertilizer decomposition in the target agricultural system, and combines material flow analysis based on crop and hydrological models to track carbon flow paths during simulation.

[0070] Soil respiration: using the Liu model ,in, T Indicates soil temperature, For water content, a , b , c This refers to the regional correction coefficient;

[0071] Crop carbon sequestration: GPP is calculated based on photosynthetically active radiation (GPP) and LAI, using the formula... ,in, Indicates leaf area index;

[0072] This represents a correction factor used to adjust the theoretical maximum productivity. Adjusted to the actual observed productivity. Generally, a value less than 1 (e.g., 0.5~0.8) indicates that the actual productivity is lower than the ideal state.

[0073] Organic fertilizer decomposition: First-order kinetic equation , B This represents the total amount of decomposable organic matter remaining in the system. This is the decomposition rate constant (e.g., woody plant residues decompose slowly). =0.005, straw decomposes quickly. =0.02).

[0074] The carbon sequestration index and water consumption generated in each simulation are compared with the current carbon sequestration target, including:

[0075] When the carbon sequestration target for the current stage is reached, if the ratio of carbon sequestration index to water consumption is less than or equal to the first threshold, water storage is required; if the ratio of carbon sequestration index to water consumption is greater than the first threshold, water storage is not required.

[0076] When the carbon sequestration target for the current stage is not achieved, analyze the factors affecting the carbon sequestration index, including crop growth, the carbon sequestration capacity of the crop itself, and the crop planting area.

[0077] Crop growth: Analyze whether to increase irrigation or fertilizer application based on meteorological factors;

[0078] The carbon sequestration capacity of the crop itself: After the current cycle of the crop ends, a different crop is used in the next cycle for simulation in order to achieve the carbon sequestration target;

[0079] Crop planting area: Increase the crop planting area.

[0080] An agricultural system that achieves coordinated water and carbon management based on a cyclical strategy.

[0081] A water-carbon coordinated low-carbon ecological circular agriculture system includes:

[0082] The model building module is used to define the scope of the target agricultural system, generate a digital agricultural ecological model based on the scope of the target agricultural system, collect relevant ecological parameters within the scope of the target agricultural system, and adjust the digital agricultural ecological model in real time according to the ecological parameters.

[0083] The carbon sequestration determination module is used to divide the target agricultural system into multiple subsystems, analyze the carbon sequestration parameters of each subsystem and the target agricultural system, and obtain the carbon sequestration index of the current target agricultural system.

[0084] The analysis module is used to set carbon sequestration targets. Based on the carbon sequestration index, ecological parameters, and meteorological parameters of the current target agricultural system, it uses a digital agricultural ecological model to simulate and analyze the recycling strategies required to achieve the carbon sequestration targets.

[0085] The adjustment module is used in agricultural systems to achieve coordinated water and carbon scheduling based on a cyclical strategy.

[0086] Therefore, the present invention adopts the above-mentioned water and carbon coordinated scheduling low-carbon ecological circular agriculture system and method. Through system modeling, data assimilation, multi-objective optimization and dynamic feedback, it realizes the synergy of maximizing agricultural carbon sink and efficient water resource utilization, promotes the transformation of farmland ecosystems to a "high carbon sequestration, low emission and strong circulation" model, and has ecological benefits, economic benefits and technical feasibility.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for water-carbon coordinated scheduling of low-carbon ecological circular agriculture, characterized in that, The method comprises the following steps: determining the scope of the target agricultural system, and generating a digital agricultural ecological model according to the scope of the target agricultural system; collecting corresponding ecological parameters in the scope of the target agricultural system, and adjusting the digital agricultural ecological model in real time according to the ecological parameters; dividing the target agricultural system into multiple subsystems, analyzing the carbon sink parameters in each subsystem and the target agricultural system, and obtaining a carbon fixation index of the current target agricultural system; dividing the target agricultural system into multiple subsystems, including: dividing according to function modules: including a planting subsystem, a breeding subsystem, a water conservancy subsystem, a waste treatment subsystem, and a carbon sink buffer subsystem; setting a carbon sink target, simulating the digital agricultural ecological model according to the carbon fixation index, the ecological parameters, and the meteorological parameters of the current target agricultural system, and analyzing the circulation strategy required to achieve the carbon sink target; the digital agricultural ecological model comprises: coupling the ecological parameters to generate a crop model and a hydrological model, wherein the hydrological model outputs soil parameters in the daily ecological parameters to the crop model as a water stress factor of the crop model DSSAT; the soil parameters include soil water content, surface runoff, and deep seepage; the crop model outputs crop parameters in the ecological parameters to the hydrological model to dynamically adjust the CN value and the surface roughness of the hydrological model SWAT; the crop parameters include crop canopy coverage and root distribution; quantifying soil respiration, crop carbon fixation, and organic fertilizer decomposition in the target agricultural system, and combining material flow analysis according to the crop model and the hydrological model to track the carbon flow path during simulation; when the carbon sink target of the current stage is reached, if the ratio of the carbon fixation index to the water resource consumption is less than or equal to a first threshold value, water storage needs to be performed; if the ratio of the carbon fixation index to the water resource consumption is greater than the first threshold value, water storage does not need to be performed; an agricultural system that realizes water-carbon coordinated scheduling according to the circulation strategy.

2. The method of claim 1, wherein, carbon fixation index calculation: ； ； represents irrigation and precipitation consumption; wherein, represents the total net carbon sink amount, represents the total area of the system, represents the net carbon sink amount for the last 3 years.

3. The method of claim 1, wherein, according to the carbon fixation index, the ecological parameters, and the meteorological parameters of the current target agricultural system, simulating the digital agricultural ecological model to analyze the circulation strategy required to achieve the carbon sink target, including the following steps: using the carbon fixation index, the ecological parameters, the meteorological parameters, and the digital agricultural ecological model to set a short-term simulation period according to the crops planted in the planting subsystem, and to set a long-term simulation period according to the crops planted in the carbon sink buffer subsystem; determining the irrigation water volume of the current planting subsystem and the irrigation mode according to the simulation results of the short-term simulation period; at the same time, adjusting the crop category in the next stage planting subsystem according to the carbon sink target of the next stage.

4. The method of Claim 1, wherein, comparing the carbon fixation index, the water resource consumption, and the carbon sink target of the current stage generated by each simulation, including: when the carbon sink target of the current stage is reached, if the ratio of the carbon fixation index to the water resource consumption is less than or equal to a first threshold value, water storage needs to be performed; if the ratio of the carbon fixation index to the water resource consumption is greater than the first threshold value, water storage does not need to be performed; when the carbon sink target of the current stage is not reached, analyze the factors affecting the carbon fixation index, including crop growth, the carbon fixation capacity of the crop itself, and the crop planting area; crop growth: combining meteorological factors to analyze the increase of irrigation volume or the increase of fertilizer volume; Carbon sequestration capacity of crops: after the end of the current crop period, a different crop is planted in the next period to simulate the carbon sink target; Crop planting area: increase the planting area of crops.

5. A water-carbon coordinated scheduling low-carbon ecological circular agricultural system, characterized in that, The method for performing the water-carbon coordinated scheduling low-carbon ecological circulation agriculture of any one of claims 1-4, comprising: A model construction module is used to define the scope of the target agricultural system, generate a digital agricultural ecological model according to the scope of the target agricultural system, collect corresponding ecological parameters in the scope of the target agricultural system, and adjust the digital agricultural ecological model in real time according to the ecological parameters; A carbon sink determination module is used to divide the target agricultural system into multiple subsystems, analyze the carbon sink parameters in each subsystem and the target agricultural system, and obtain the carbon sequestration index of the current target agricultural system; An analysis module is used to set a carbon sink target, use a digital agricultural ecological model to simulate, analyze the circulation strategy required to achieve the carbon sink target according to the carbon sequestration index, ecological parameters, and meteorological parameters of the current target agricultural system; An adjustment module is used to realize the water-carbon coordinated scheduling agricultural system according to the circulation strategy.

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