A method and system for controlling carbon absorption and fixation by aquatic organisms

Abstract

The present invention discloses a method and system for controlling carbon absorption and sequestration by aquatic organisms, which relates to the technical field of carbon cycle in karst regions. Based on the karst critical zone theory, the carbon cycle process in karst water bodies is simulated; the variables in the simulated karst water body environment are controlled to identify the relationship between the growth of aquatic organisms in karst water bodies and the karst water body environment; based on the carbon cycle process in the simulated karst water bodies and the relationship between the growth of aquatic organisms in karst water bodies and the karst water body environment, the relationship between the growth of aquatic organisms in karst water bodies and the carbon storage in karst water bodies is identified; based on the relationship between the growth of aquatic organisms in karst water bodies and the carbon storage in karst water bodies, the wild karst environment is investigated and monitored, and feedback is provided for the wild karst environment where the carbon storage does not meet the standard detected by the investigation and monitoring. It realizes the regulation of water body environment variables to optimize the growth of aquatic organisms by simulating and monitoring the carbon cycle process in the karst critical zone, thereby increasing the carbon storage.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon cycling in karst regions, and particularly to a method and system for controlling carbon absorption and fixation by aquatic organisms. Background Art

[0002] Due to the influence of human activities, such as the burning of fossil fuels, forest degradation, industrial emissions, etc., the concentration of CO2 in the atmosphere has been continuously increasing since the Industrial Revolution. To address global climate change, the global carbon cycle has become one of the current research hotspots. The karst environment is an important part of the global carbon cycle. Especially in carbonate rock areas, carbonate rocks in the karst environment (such as karst landforms) absorb CO2 from the atmosphere through chemical weathering, forming bicarbonates and other dissolved carbon compounds. This process plays an important role in the global carbon budget.

[0003] The unique hydrographic characteristics in karst areas, including underground rivers, caves, springs, etc., have an important impact on the storage and transmission of carbon. Aquatic organisms (such as algae, plankton, and aquatic plants) fix CO2 through photosynthesis and convert inorganic carbon into organic carbon during their growth process. These biological carbon fixation processes are important components of the carbon cycle in the karst environment. Studying the carbon cycle in the karst environment and the relationship between aquatic organisms and carbon can deepen the basic scientific understanding of the carbon cycle process and mechanism and fill the gaps in scientific knowledge. However, the karst water environment and the carbon cycle process are very complex, involving various physical, chemical, and biological factors. Therefore, when simulating the carbon cycle process in karst water bodies, it may not be possible to fully capture all key variables and interactions. At the same time, the simulated environment under laboratory conditions often differs from the actual field environment, such as human factors, hydrological mobility, etc. These factors may all affect the growth of aquatic organisms and the carbon cycle process. And because there are different levels in the karst critical zone, the responses of aquatic organisms in different levels to environmental changes are different, and single-variable control may not be applicable to all biological species, resulting in a decrease in the accuracy of carbon storage prediction; the conditions such as water quality, temperature, nutrients, etc. in the field environment are dynamically changing, and long-term monitoring and regulation are difficult.

[0004] Therefore, aiming at the above problems, there is an urgent need for a method and system for controlling carbon absorption and fixation by aquatic organisms. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides a method and system for controlling carbon absorption and fixation by aquatic organisms, which solves the problems that the acquisition of wild karst environment data is restricted, there are defects in the actual carbon cycle control, there is a lack of a simple prediction model for carbon storage, and due to changes in the actual environment, there may be a difference between the model and reality, and there is a lack of research on the relationship between aquatic organisms and carbon in the karst region based on the karst water environment.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A method for controlling carbon absorption and sequestration by aquatic organisms, comprising the following steps: simulating the carbon cycle process in karst water bodies based on the karst critical zone theory; controlling variables in the simulated karst water body environment to identify the relationship between the growth of aquatic organisms in the karst water body and the karst water body environment; obtaining the carbon storage under different variable controls in the simulated karst water body environment, and then based on the carbon cycle process in the simulated karst water body and the relationship between the growth of aquatic organisms in the karst water body and the karst water body environment, identifying the relationship between the growth of aquatic organisms in the karst water body and the carbon storage in the karst water body; investigating and monitoring the wild karst environment based on the relationship between the growth of aquatic organisms in the karst water body and the carbon storage in the karst water body, and providing feedback on the wild karst environment where the investigated and monitored carbon storage does not meet the standard.

[0007] Further, the specific analysis of simulating the carbon cycle process in karst water bodies based on the karst critical zone theory is as follows: collecting atmospheric parameters, hydrological parameters, soil parameters, vegetation parameters, and aquatic organism parameters in different wild karst regions as the input of the karst carbon cycle basic model, and combining with the relationship between aquatic organisms in different layers of the karst critical zone and the carbon cycle learned and understood by using the karst critical zone theory to obtain the karst carbon cycle basic model; obtaining data on human impact factors based on the impact of human activities on carbon input and output, inputting the data on human impact factors into the karst carbon cycle basic model for adjustment to obtain the in-depth karst carbon cycle model, and simulating the actual karst carbon cycle process. The data on human impact factors specifically include data on agricultural activity factors, urbanization factor data, and industrial emission factor data.

[0008] Further, the specific analysis of controlling variables in the simulated karst water body environment to identify the relationship between the growth of aquatic organisms in the karst water body and the karst water body environment is as follows:

[0009] The simulated karst water body environment specifically includes the surface water body environment, the middle water body environment, and the groundwater body environment;

[0010] Respectively select representative aquatic organisms in the surface water environment, middle water environment and groundwater environment of the karst critical zone as the first representative aquatic organism, the second representative aquatic organism and the third representative aquatic organism; obtain surface water environment data, middle water environment data and groundwater environment data; process the outliers and missing values in the surface water environment data, middle water environment data and groundwater environment data, and then respectively select the differential data in the surface water environment data, middle water environment data and groundwater environment data as the first representative environmental data, the second representative environmental data and the third representative environmental data; adjust the first representative environmental data, the second representative environmental data and the third representative environmental data respectively, and obtain the corresponding first representative aquatic organism growth data, second representative aquatic organism data and third representative aquatic organism data under each adjustment; take the first representative environmental data as the input and the first representative aquatic organism growth data as the output, and identify the linear relationship between the first representative environmental data and the first representative aquatic organism growth data based on the change of the first representative aquatic organism growth data under the adjustment of the first representative environmental data; take the second representative environmental data as the input and the second representative aquatic organism growth data as the output, and identify the linear relationship between the second representative environmental data and the second representative aquatic organism growth data based on the change of the second representative aquatic organism growth data under the adjustment of the second representative environmental data; take the third representative environmental data as the input and the third representative aquatic organism growth data as the output, and identify the linear relationship between the third representative environmental data and the third representative aquatic organism growth data based on the change of the third representative aquatic organism growth data under the adjustment of the third representative environmental data.

[0011] Further, the first representative aquatic organism growth data is specifically the reproduction rate of the first representative aquatic organism, the second representative aquatic organism growth data is specifically the reproduction rate of the second representative aquatic organism, and the third representative aquatic organism growth data is specifically the reproduction rate of the third representative aquatic organism; the first representative environmental data specifically includes weather temperature, soil erosion amount and rainfall, the second representative environmental data specifically includes carbonate rock calcium ion concentration and carbonate rock permeability, and the third representative environmental data specifically includes groundwater depth and groundwater flow velocity.

[0012] Further, obtain the carbon storage under the control of different variables in the simulated karst water environment. Then, based on the carbon cycle process in the simulated karst water body and the relationship between the growth of aquatic organisms in the karst water body and the karst water environment, the specific analysis of the relationship between the growth of aquatic organisms in the karst water body and the carbon storage in the karst water body is as follows: Obtain the water body carbon content corresponding to each adjustment of the first representative environmental data, the second representative environmental data, and the third representative environmental data; Based on the in-depth model of karst carbon cycle, simulate the actual karst carbon cycle process to identify the carbon sequestration factors in the surface water environment, middle water environment, and groundwater environment of the karst critical zone. The carbon sequestration factors specifically include aquatic biological factors and non-aquatic biological factors, and the non-aquatic biological factors are specifically water environment factors; Take the first representative environmental data as the input and the carbon storage in the corresponding surface water environment as the output, and based on the change of the carbon storage in the surface water environment under the adjustment of the first representative environmental data, identify the linear relationship between the first representative environmental data and the carbon storage in the surface water environment; Take the second representative environmental data as the input and the carbon storage in the corresponding middle water environment as the output, and based on the change of the carbon storage in the middle water environment under the adjustment of the second representative environmental data, identify the linear relationship between the second representative environmental data and the carbon storage in the middle water environment; Take the third representative environmental data as the input and the carbon storage in the corresponding groundwater environment as the output, and based on the change of the carbon storage in the groundwater environment under the adjustment of the third representative environmental data, identify the linear relationship between the third representative environmental data and the carbon storage in the groundwater environment; Based on the identified carbon sequestration factors in the surface water environment, middle water environment, and groundwater environment of the karst critical zone, the carbon sequestration factors in the surface water environment include the first representative aquatic organism growth data and the first representative environmental data, the carbon sequestration factors in the middle water environment include the second representative aquatic organism growth data and the second representative environmental data, and the carbon sequestration factors in the groundwater environment include the third representative aquatic organism growth data and the third representative environmental data. Then, respectively take the first representative aquatic organism growth data and the first representative environmental data, the second representative aquatic organism data and the second representative environmental data, and the third representative aquatic organism data and the third representative environmental data as the input, and the carbon storage in the surface water environment, the carbon storage in the middle water environment, and the carbon storage in the groundwater environment as the output, and identify the linear relationship between the first representative aquatic organism growth data and the first representative environmental data and the carbon storage in the surface water environment, the linear relationship between the second representative aquatic organism growth data and the second representative environmental data and the carbon storage in the middle water environment, and the linear relationship between the third representative aquatic organism growth data and the third representative environmental data and the carbon storage in the groundwater environment;Identify the linear relationship between the first representative aquatic organism growth data and the carbon storage in the surface water body environment by combining the linear relationship between the first representative environmental data and the first representative aquatic organism growth data, the linear relationship between the first representative environmental data and the carbon storage in the surface water body environment, and the linear relationship between the first representative aquatic organism growth data, the first representative environmental data, and the carbon storage in the surface water body environment; identify the linear relationship between the second representative aquatic organism growth data and the carbon storage in the middle water body environment by combining the linear relationship between the second representative environmental data and the second representative aquatic organism growth data, the linear relationship between the second representative environmental data and the carbon storage in the middle water body environment, and the linear relationship between the second representative aquatic organism growth data, the second representative environmental data, and the carbon storage in the middle water body environment; identify the linear relationship between the third representative aquatic organism growth data and the carbon storage in the groundwater body environment by combining the linear relationship between the third representative environmental data and the third representative aquatic organism growth data, the linear relationship between the third representative environmental data and the carbon storage in the groundwater body environment, and the linear relationship between the third representative aquatic organism growth data, the third representative environmental data, and the carbon storage in the groundwater body environment.;

[0013] Further, the specific analysis of the feedback on the wild karst environment where the investigated and monitored carbon storage does not meet the standard is as follows: Obtain the carbon storage monitored in the wild karst surface water body environment, the carbon storage monitored in the middle water body environment, and the carbon storage monitored in the groundwater body environment based on the investigation and monitoring of the wild karst environment; output the predicted carbon storage in the wild karst surface water body environment, the predicted carbon storage in the middle water body environment, and the predicted carbon storage in the groundwater body environment respectively based on the growth status of aquatic organisms in the wild karst environment; set a carbon storage monitoring difference threshold through the wild karst environment maintenance requirements, where the carbon storage monitoring difference threshold represents the maximum acceptable degree of the gap between the actually monitored carbon storage and the predicted carbon storage obtained by simulating the carbon cycle process in the karst water body; obtain the differences between the carbon storage monitored in the wild karst surface water body environment, the carbon storage monitored in the middle water body environment, the carbon storage monitored in the groundwater body environment and the predicted carbon storage in the wild karst surface water body environment, the predicted carbon storage in the middle water body environment, and the predicted carbon storage in the groundwater body environment respectively, and compare the differences between the carbon storage monitored in the wild karst surface water body environment, the carbon storage monitored in the middle water body environment, the carbon storage monitored in the groundwater body environment and the predicted carbon storage in the wild karst surface water body environment, the predicted carbon storage in the middle water body environment, and the predicted carbon storage in the groundwater body environment with the carbon storage monitoring difference threshold respectively. When the differences between the carbon storage monitored in the wild karst surface water body environment, the carbon storage monitored in the middle water body environment, the carbon storage monitored in the groundwater body environment and the predicted carbon storage in the wild karst surface water body environment, the predicted carbon storage in the middle water body environment, and the predicted carbon storage in the groundwater body environment are greater than the carbon storage monitoring difference threshold, mark the level with the difference greater than the carbon storage monitoring difference threshold as the carbon storage not meeting the standard, and use the feedback mechanism to give feedback to prompt environmental rectification for this level.

[0014] Further, the specific analysis of respectively outputting the predicted carbon storage in the surface water environment of wild karst, the predicted carbon storage in the middle water environment of wild karst, and the predicted carbon storage in the groundwater environment based on the growth status of aquatic organisms in the wild karst environment is as follows: Monitor the growth status of aquatic organisms in the wild karst environment, and then respectively obtain the growth data of the first representative aquatic organisms in wild karst, the growth data of the second representative aquatic organisms in wild karst, and the growth data of the third representative aquatic organisms in wild karst. The growth data of the first representative aquatic organisms in wild karst, the growth data of the second representative aquatic organisms in wild karst, and the growth data of the third representative aquatic organisms in wild karst are specifically the reproduction rates of the first representative aquatic organisms in wild karst, the reproduction rates of the second representative aquatic organisms in wild karst, and the reproduction rates of the third representative aquatic organisms in wild karst. Based on the linear relationship between the growth data of the first representative aquatic organisms and the carbon storage in the surface water environment, the linear relationship between the growth data of the second representative aquatic organisms and the carbon storage in the middle water environment, and the linear relationship between the growth data of the third representative aquatic organisms and the carbon storage in the groundwater environment, respectively take the reproduction rates of the first representative aquatic organisms in wild karst, the reproduction rates of the second representative aquatic organisms in wild karst, and the reproduction rates of the third representative aquatic organisms in wild karst as inputs, and output to obtain the predicted carbon storage in the surface water environment of wild karst, the predicted carbon storage in the middle water environment of wild karst, and the predicted carbon storage in the groundwater environment.

[0015] An aquatic organism carbon absorption and carbon sequestration control system applying the above-mentioned aquatic organism carbon absorption and carbon sequestration control method includes: a carbon cycle simulation module for simulating the carbon cycle process in karst water bodies based on the karst critical zone theory; an aquatic organism - environment relationship identification module for controlling variables in the simulated karst water environment and identifying the relationship between the growth of aquatic organisms in karst water bodies and the karst water environment; an aquatic organism - carbon storage relationship identification module for obtaining the carbon storage under different variable controls in the simulated karst water environment, and then based on the carbon cycle process in the simulated karst water bodies and the relationship between the growth of aquatic organisms in karst water bodies and the karst water environment, identifying the relationship between the growth of aquatic organisms in karst water bodies and the carbon storage in karst water bodies; a wild karst environment monitoring module for investigating and monitoring the wild karst environment based on the relationship between the growth of aquatic organisms in karst water bodies and the carbon storage in karst water bodies, and feeding back the wild karst environment with unqualified carbon storage detected in the investigation and monitoring.

[0016] The present invention has the following beneficial effects:

[0017] The method and system for controlling carbon absorption and sequestration by aquatic organisms, based on the theory of the karst critical zone, simulate the carbon cycle process in karst water bodies and deeply study the relationship between the growth of aquatic organisms and the carbon storage in karst water bodies, aiming to achieve the effective storage and control of carbon in the karst environment. Specifically, by simulating the carbon cycle process in karst water bodies, it is possible to more accurately understand the transformation and storage mechanisms of carbon in the karst system, which helps to identify which environmental factors have a significant impact on the growth and carbon sequestration ability of aquatic organisms, and thus improve the carbon storage efficiency by optimizing these environmental variables; not only focusing on carbon storage, but also emphasizing the harmonious relationship between the growth of aquatic organisms and the karst water body environment. By adjusting environmental variables to promote the growth of aquatic organisms, the stability and self-recovery ability of the entire karst ecosystem can be indirectly enhanced, which helps to maintain ecological balance; based on the simulation results and field investigation and monitoring data, the carbon storage in the wild karst environment can be accurately evaluated. For areas where the carbon storage does not meet the standard, targeted feedback and suggestions can be put forward, providing a scientific basis for the ecological protection and restoration work in karst areas; integrating knowledge in multiple disciplinary fields such as the theory of the karst critical zone, ecological simulation technology, and environmental monitoring technology, it promotes the innovation and development of the technology for controlling carbon absorption and sequestration by aquatic organisms, and has positive significance for mitigating climate change in the context of global warming. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flowchart of a method for controlling carbon absorption and sequestration by aquatic organisms according to the present invention.

[0019] Figure 2 It is a structural diagram of a system for controlling carbon absorption and sequestration by aquatic organisms according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] In the embodiments of the present application, through a method and system for controlling carbon absorption and sequestration by aquatic organisms, the carbon cycle process in the karst critical zone is simulated and monitored, and the water body environmental variables are regulated to optimize the growth of aquatic organisms, thereby increasing the carbon storage.

[0021] The general idea for the problems in the embodiments of the present application is as follows:

[0022] Using the theory of the karst critical zone, a model is established to simulate the carbon cycle process in the karst water environment, understand and predict different transformation and flow forms of carbon in the karst water body, including the entry of carbon dioxide from the atmosphere into the water body, chemical reactions occurring in the water body, and the processes of carbon precipitation and release; by controlling the variables in the simulated environment, study the growth of aquatic organisms under different environmental conditions, identify and quantify the relationship between the growth of aquatic organisms and the environmental variables of the karst water body; under simulated conditions, measure and analyze the carbon storage controlled by different environmental variables, and determine the relationship between the growth of aquatic organisms and the carbon storage in the water body; apply the optimal conditions obtained from the simulation to the wild karst environment, conduct investigations and monitoring on the actual environment, evaluate the growth of aquatic organisms and the carbon storage in these environments, and ensure that the aquatic organisms in the karst water environment can effectively absorb and sequester carbon to achieve the expected carbon storage goal.

[0023] Please refer to Figure 1 , an embodiment of the present invention provides a technical solution: a method for controlling carbon absorption and sequestration by aquatic organisms, including the following steps: simulating the carbon cycle process in the karst water body based on the theory of the karst critical zone; controlling the variables of the simulated karst water environment to identify the relationship between the growth of aquatic organisms in the karst water body and the karst water environment; obtaining the carbon storage under the control of different variables in the simulated karst water environment, and then based on the carbon cycle process in the simulated karst water body and the relationship between the growth of aquatic organisms in the karst water body and the karst water environment, identify the relationship between the growth of aquatic organisms in the karst water body and the carbon storage in the karst water body; conduct investigations and monitoring on the wild karst environment based on the relationship between the growth of aquatic organisms in the karst water body and the carbon storage in the karst water body, and provide feedback on the wild karst environment where the detected carbon storage does not meet the standard.

[0024] Specifically, the simulation of the carbon cycle process in the karst water body based on the theory of the karst critical zone is specifically analyzed as follows: collect the atmospheric parameters, hydrological parameters, soil parameters, vegetation parameters, and aquatic organism parameters of different wild karst regions as the input of the basic karst carbon cycle model, and combine with the relationship between aquatic organisms in different layers of the karst critical zone and the carbon cycle learned and understood by using the theory of the karst critical zone to obtain the basic karst carbon cycle model; obtain the data of human influence factors based on the influence of human activities on carbon input and output, input the data of human influence factors into the basic karst carbon cycle model for adjustment to obtain the in-depth karst carbon cycle model, and simulate the actual karst carbon cycle process. The data of human influence factors specifically include data of agricultural activity factors, urbanization factor data, and industrial emission factor data.

[0025] In this implementation plan, the karst critical zone theory refers to the theoretical research on the critical zone in the karst geological system. The critical zone refers to the transition zone from the surface to the groundwater body in the karst geological system, including different types of geological media such as the karst surface layer and karst caves, pores, and fractures below the surface layer. The karst critical zone theory emphasizes the interaction between the surface and the groundwater body and the impact of the karst hydrological process on the geological environment, dividing the karst geological system into multiple layers, including the surface soil layer, karst fracture layer, karst cave layer, and deep groundwater body. There are complex material and energy exchange processes between these layers.

[0026] The design of the specific karst carbon cycle basic model involves collecting and integrating atmospheric, hydrological, soil, vegetation, and aquatic biological parameters in different wild karst areas, as well as combining the karst critical zone theory to understand the relationship between aquatic organisms and the carbon cycle in different layers, and obtaining it by combining existing Vegetation Dynamics Models, SoilCarbon Models, Aquatic Biogeochemical Models, and Karst Geologic Process Models.

[0027] Vegetation Dynamics Models, Soil Carbon Models, and Aquatic Biogeochemical Models are biogeochemical models, representing mathematical models that study the interaction between biological systems and geochemical processes, and are used to describe how different biological tissues affect the input, transformation, and output processes of carbon. Specifically, the Vegetation Dynamics Model is used to describe the growth, distribution, and change of carbon storage in vegetation. The specific expression of the Vegetation Dynamics Model is: In the formula, C veg represents the carbon endowment of vegetation, GPP represents the net primary productivity, and R veg represents the respiratory loss of vegetation; the Soil Carbon Model is used to simulate the accumulation and release processes of organic carbon and inorganic carbon in the soil, considering the impact of soil microbial activities on carbon transformation. The specific expression of the Soil Carbon Model is: In the formula, C soil represents the soil carbon storage, C input represents the carbon input, and C output represents the carbon output; the Aquatic Biogeochemical Model is used to study the absorption, transformation, and release of carbon by organisms in karst water bodies, and how these processes affect the cycling of water bodies and dissolved organic carbon (DOC). The specific expression of the Aquatic Biogeochemical Model is: In the formula, C waterDenotes dissolved organic carbon in water bodies, P DOC Denotes the production of DOC, R DOC Denotes the decomposition of DOC.

[0028] Karst Geologic Process Models are used to describe the impact of karst processes on the carbon cycle in karst regions. Specifically, a carbon dissolution model is adopted, which is used to describe the impact of dissolution on soil carbon storage during karst geological processes. The specific expression is: In the formula, C dissolve Denotes dissolved carbon, k dissolve Denotes the dissolution rate constant, A karst Denotes the area of the karst region.

[0029] Integrating the above Vegetation Dynamics Models, SoilCarbon Models, Aquatic Biogeochemical Models, and Karst Geologic Process Models, the basic karst carbon cycle model specifically needs to describe the absorption, fixation, release, and emission of carbon in the atmosphere, hydrological, and biological processes, as well as the storage and transfer of carbon in the karst system; design models including vegetation growth models, accumulation models of soil organic matter and inorganic carbon, and models of carbon absorption and release by aquatic organisms; consider the impact of geological structures, hydrological cycles, and dissolution characteristics on carbon transformation and distribution, such as the impact of karst dissolution rate on soil carbon storage; the specific expression of the basic karst carbon cycle model is:

[0030] C denotes the total carbon storage in the karst region.

[0031] Obtain data on anthropogenic impact factors based on the impact of human activities on carbon input and output, input the data on anthropogenic impact factors into the basic karst carbon cycle model for adjustment to obtain an in-depth karst carbon cycle model. Among them, the data on agricultural activity factors in the data on anthropogenic impact factors specifically include the amount of farmland fertilization and irrigation, the data on urbanization factors specifically include urban drainage volume and sewage treatment volume, and the data on industrial emission factors specifically include industrial wastewater volume and waste gas emission volume; input the collected data into the basic karst carbon cycle model for adjustment and correction to obtain a more realistic and accurate in-depth karst carbon cycle model; according to the simulation results, analyze the long-term impact trends and spatial distribution characteristics of different human activities on the karst carbon cycle, and then put forward corresponding environmental management and protection suggestions to reduce the negative impact of human activities on the karst environmental carbon cycle process, promote the maintenance and improvement of carbon balance. The specific expression of the in-depth karst carbon cycle model is: Where Cagri_input = C fertilizer + C irrigation , C urban_input = C urban_drainage + C sewage_treatment , C industry_input = C industrial_wastewater + C industrial_emission ; Specifically, in the formula, C agri_input represents the carbon storage formed based on agricultural activity factors, C fertilizer represents the carbon amount introduced by chemical fertilizers, C irrigation represents the carbon amount introduced by irrigation, C urban_drainage represents the carbon amount introduced by urban drainage, C sewage_treatment represents the carbon amount introduced by sewage treatment, C industrial_wastewater represents the carbon amount introduced by industrial wastewater, C industrial_emission represents the carbon amount introduced by waste gas emissions.

[0032] Specifically, for variable control of the simulated karst water environment, the specific analysis of identifying the relationship between the growth of aquatic organisms in the karst water body and the karst water environment is as follows: The simulated karst water environment specifically includes the surface water environment, the middle water environment, and the groundwater environment; Representative aquatic organisms in the surface water environment, the middle water environment, and the groundwater environment of the karst critical zone are respectively selected as the first representative aquatic organism, the second representative aquatic organism, and the third representative aquatic organism; Surface water environment data, middle water environment data, and groundwater environment data are obtained; Outliers and missing values in the surface water environment data, middle water environment data, and groundwater environment data are processed, and then the difference data in the surface water environment data, middle water environment data, and groundwater environment data are respectively selected as the first representative environmental data, the second representative environmental data, and the third representative environmental data; The first representative environmental data, the second representative environmental data, and the third representative environmental data are respectively adjusted, and the corresponding first representative aquatic organism growth data, second representative aquatic organism data, and third representative aquatic organism data under each adjustment are obtained; Using the first representative environmental data as the input and the first representative aquatic organism growth data as the output, based on the change of the first representative aquatic organism growth data under the adjustment of the first representative environmental data, the linear relationship between the first representative environmental data and the first representative aquatic organism growth data is identified; Using the second representative environmental data as the input and the second representative aquatic organism growth data as the output, based on the change of the second representative aquatic organism growth data under the adjustment of the second representative environmental data, the linear relationship between the second representative environmental data and the second representative aquatic organism growth data is identified; Using the third representative environmental data as the input and the third representative aquatic organism growth data as the output, based on the change of the third representative aquatic organism growth data under the adjustment of the third representative environmental data, the linear relationship between the third representative environmental data and the third representative aquatic organism growth data is identified.

[0033] The first representative aquatic organism growth data specifically refers to the reproduction rate of the first representative aquatic organisms, the second representative aquatic organism growth data specifically refers to the reproduction rate of the second representative aquatic organisms, and the third representative aquatic organism growth data specifically refers to the reproduction rate of the third representative aquatic organisms; the first representative environmental data specifically includes weather temperature, soil erosion amount, and rainfall, the second representative environmental data specifically includes carbonate rock calcium ion concentration and carbonate rock permeability, and the third representative environmental data specifically includes groundwater depth and groundwater flow velocity.

[0034] In this implementation plan, when environmental data is used as the input of a linear relationship, it is specifically necessary to dimensionless the environmental data and then sum and take values as the environmental data for input; the reproduction rate of aquatic organisms refers to the number or rate of reproduction of aquatic organisms per unit time, which is obtained through on-site monitoring and field surveys; the weather temperature refers to the surface temperature, which has a direct impact on the growth of aquatic organisms and the carbon cycle process, and is obtained through the data recorded by meteorological stations, or can also be monitored in real time using modern meteorological observation equipment; the soil erosion amount represents the amount of soil eroded per unit area of land per unit time due to the action of water flow or wind, etc., and is measured and monitored on-site using erosion monitoring instruments and technologies, including sedimentation tests and erosion loss monitoring; rainfall refers to the precipitation on the surface of a unit area, which affects surface runoff and groundwater levels, and is obtained through the data recorded by meteorological stations, or can also be monitored in real time using rain gauges and radar monitoring technologies; the carbonate rock calcium ion concentration refers to the concentration of calcium ions dissolved in carbonate rocks, which affects the karst process and dissolution ability, and is determined through chemical analysis after water sample collection, or can also be monitored in real time using on-site conductivity meters and other equipment; the carbonate rock permeability refers to the ability of rocks to permeate liquid water, which affects groundwater flow and the karst process, and is obtained through hydrogeological surveys and on-site permeability tests, including groundwater level monitoring and permeability tests; the groundwater depth refers to the depth of the groundwater level from the surface, which is obtained through the measurement of groundwater level monitoring wells or boreholes; the groundwater flow velocity refers to the flow velocity of groundwater per unit time, and methods such as water level monitoring and tracking dyes are used to estimate the groundwater flow velocity. By precisely adjusting environmental variables, the growth of aquatic organisms can be effectively predicted and managed, and the efficiency of carbon absorption and sequestration can be improved; by establishing a clear linear relationship model, the growth of aquatic organisms can be quickly predicted based on environmental data in actual operations, and timely environmental regulation can be carried out, which helps to improve the carbon sequestration ability of the karst environment and has important significance for environmental protection and carbon emission reduction.

[0035] Specifically, to obtain the carbon storage under the control of different variables in the simulated karst water environment, and then based on the carbon cycle process in the simulated karst water and the relationship between the growth of aquatic organisms in the karst water and the karst water environment, the specific analysis of the relationship between the growth of aquatic organisms in the karst water and the carbon storage in the karst water is as follows: Obtain the water carbon content corresponding to each adjustment of the first representative environmental data, the second representative environmental data, and the third representative environmental data; Based on the in-depth karst carbon cycle model, simulate the actual karst carbon cycle process to identify the carbon sequestration factors in the surface water environment, middle water environment, and groundwater environment of the karst critical zone. The carbon sequestration factors specifically include aquatic biological factors and non-aquatic biological factors, and the non-aquatic biological factors are specifically water environment factors; Take the first representative environmental data as the input and the carbon storage in the corresponding surface water environment as the output, and based on the change of the carbon storage in the surface water environment under the adjustment of the first representative environmental data, identify the linear relationship between the first representative environmental data and the carbon storage in the surface water environment; Take the second representative environmental data as the input and the carbon storage in the corresponding middle water environment as the output, and based on the change of the carbon storage in the middle water environment under the adjustment of the second representative environmental data, identify the linear relationship between the second representative environmental data and the carbon storage in the middle water environment; Take the third representative environmental data as the input and the carbon storage in the corresponding groundwater environment as the output, and based on the change of the carbon storage in the groundwater environment under the adjustment of the third representative environmental data, identify the linear relationship between the third representative environmental data and the carbon storage in the groundwater environment; Based on the identified carbon sequestration factors in the surface water environment, middle water environment, and groundwater environment of the karst critical zone, the carbon sequestration factors in the surface water environment include the first representative aquatic organism growth data and the first representative environmental data, the carbon sequestration factors in the middle water environment include the second representative aquatic organism growth data and the second representative environmental data, and the carbon sequestration factors in the groundwater environment include the third representative aquatic organism growth data and the third representative environmental data. Then, take the first representative aquatic organism growth data and the first representative environmental data, the second representative aquatic organism data and the second representative environmental data, and the third representative aquatic organism data and the third representative environmental data as the input, and the carbon storage in the surface water environment, the carbon storage in the middle water environment, and the carbon storage in the groundwater environment as the output, and identify the linear relationship between the first representative aquatic organism growth data and the first representative environmental data and the carbon storage in the surface water environment, the linear relationship between the second representative aquatic organism growth data and the second representative environmental data and the carbon storage in the middle water environment, and the linear relationship between the third representative aquatic organism growth data and the third representative environmental data and the carbon storage in the groundwater environment;Identify the linear relationship between the first representative aquatic organism growth data and the carbon storage in the surface water environment, in combination with the linear relationship between the first representative environmental data and the first representative aquatic organism growth data, the linear relationship between the first representative environmental data and the carbon storage in the surface water environment, and the linear relationship between the first representative aquatic organism growth data, the first representative environmental data, and the carbon storage in the surface water environment; identify the linear relationship between the second representative aquatic organism growth data and the carbon storage in the middle water environment, in combination with the linear relationship between the second representative environmental data and the second representative aquatic organism growth data, the linear relationship between the second representative environmental data and the carbon storage in the middle water environment, and the linear relationship between the second representative aquatic organism growth data, the second representative environmental data, and the carbon storage in the middle water environment; identify the linear relationship between the third representative aquatic organism growth data and the carbon storage in the groundwater environment, in combination with the linear relationship between the third representative environmental data and the third representative aquatic organism growth data, the linear relationship between the third representative environmental data and the carbon storage in the groundwater environment, and the linear relationship between the third representative aquatic organism growth data, the third representative environmental data, and the carbon storage in the groundwater environment.;

[0036] In this implementation plan, a scientific method is provided to understand the complex relationship between aquatic organisms and carbon storage in the karst environment, providing an important theoretical basis for environmental management and carbon sink potential assessment in karst areas; the established model can help predict and optimize the reproduction strategies of aquatic organisms to maximize carbon storage benefits, providing technical support for ecological protection and carbon emission reduction; by identifying the impacts of different environmental factors on carbon storage, abnormal situations in the karst environment can be detected and addressed in a timely manner, promoting environmental protection and sustainable development, and providing a scientific basis and technical support for carbon management and ecological protection in the karst environment.

[0037] Specifically, the specific analysis of providing feedback on the wild karst environment with substandard carbon storage detected through investigation and monitoring is as follows: based on the investigation and monitoring of the wild karst environment, the carbon storage in the surface water environment monitoring, middle water environment monitoring, and groundwater environment monitoring of the wild karst are obtained; based on the growth conditions of aquatic organisms in the wild karst environment, the predicted carbon storage in the surface water environment, middle water environment, and groundwater environment of the wild karst are respectively output; a carbon storage monitoring difference threshold is set through the maintenance requirements of the wild karst environment, and the carbon storage monitoring difference threshold represents the maximum acceptable degree of the gap between the actually monitored carbon storage and the predicted carbon storage obtained through simulation of the carbon cycle process in karst water bodies; the differences between the carbon storage in the surface water environment monitoring, middle water environment monitoring, and groundwater environment monitoring of the wild karst and the predicted carbon storage in the surface water environment, middle water environment, and groundwater environment of the wild karst are respectively obtained, and the differences between the carbon storage in the surface water environment monitoring, middle water environment monitoring, and groundwater environment monitoring of the wild karst and the predicted carbon storage in the surface water environment, middle water environment, and groundwater environment of the wild karst are respectively compared with the carbon storage monitoring difference threshold. When the differences between the carbon storage in the surface water environment monitoring, middle water environment monitoring, and groundwater environment monitoring of the wild karst and the predicted carbon storage in the surface water environment, middle water environment, and groundwater environment of the wild karst are greater than the carbon storage monitoring difference threshold, the level with a difference greater than the carbon storage monitoring difference threshold is marked as having substandard carbon storage, and feedback is provided using the feedback mechanism to prompt environmental rectification of this level.

[0038] Specifically, the specific analysis of respectively outputting the predicted carbon storage in the surface water environment, middle water environment, and groundwater environment of the wild karst based on the growth conditions of aquatic organisms in the wild karst environment is as follows: monitor the growth conditions of aquatic organisms in the wild karst environment, and then respectively obtain the growth data of the first-generation aquatic organisms, second-generation aquatic organisms, and third-generation aquatic organisms in the wild karst. The growth data of the first-generation aquatic organisms, second-generation aquatic organisms, and third-generation aquatic organisms in the wild karst are specifically the reproduction rates of the first-generation aquatic organisms, second-generation aquatic organisms, and third-generation aquatic organisms in the wild karst; based on the linear relationships between the growth data of the first-generation aquatic organisms and the carbon storage in the surface water environment, the growth data of the second-generation aquatic organisms and the carbon storage in the middle water environment, and the growth data of the third-generation aquatic organisms and the carbon storage in the groundwater environment, the reproduction rates of the first-generation aquatic organisms, second-generation aquatic organisms, and third-generation aquatic organisms in the wild karst are respectively used as inputs, and the predicted carbon storage in the surface water environment, middle water environment, and groundwater environment of the wild karst are output.

[0039] In this embodiment, through the monitoring and prediction of the reproduction rate of aquatic organisms, the carbon storage in different water layers of the wild karst environment can be predicted more accurately. The prediction results provide a scientific basis for environmental managers to help formulate more effective protection and management strategies to maintain the carbon storage function in the karst environment. Effective prediction can help optimize resource allocation, ensure that the ecosystem of the karst environment remains in a healthy state, and at the same time maximize the carbon storage potential. Combining real-time monitoring and prediction can timely detect the situation where the carbon storage does not meet the standard, avoid long-term accumulation and environmental damage, accurately formulate environmental rectification measures based on actual data and model predictions, and specifically improve the carbon storage in the karst environment. Through the feedback mechanism, it promotes the protection and management of the karst environment, helps maintain ecological balance and sustainable development.

[0040] An aquatic organism carbon absorption and fixation control system, applying the above-mentioned aquatic organism carbon absorption and fixation control method, includes: a carbon cycle simulation module for simulating the carbon cycle process in karst water bodies based on the karst critical zone theory; an aquatic organism and environment relationship identification module for controlling variables in the simulated karst water body environment to identify the relationship between the growth of aquatic organisms in the karst water body and the karst water body environment; an aquatic organism and carbon storage relationship identification module for obtaining the carbon storage under different variable controls in the simulated karst water body environment, and then based on the carbon cycle process in the simulated karst water body and the relationship between the growth of aquatic organisms in the karst water body and the karst water body environment, identifying the relationship between the growth of aquatic organisms in the karst water body and the carbon storage in the karst water body; a wild karst environment monitoring module for investigating and monitoring the wild karst environment based on the relationship between the growth of aquatic organisms in the karst water body and the carbon storage in the karst water body, and feeding back the wild karst environment where the investigated and monitored carbon storage does not meet the standard.

[0041] In summary, this application has at least the following effects: By simulating the carbon cycle process in karst water bodies and the relationship between the growth of aquatic organisms and the environment, it helps to identify and optimize the carbon storage in karst water bodies, can promote the absorption and fixation ability of the karst system to carbon dioxide in the atmosphere, and helps to alleviate global warming and climate change; By investigating and monitoring the carbon storage in the wild karst environment and feeding back the non-compliant environment, it can effectively promote the ecological restoration and protection of the wild karst environment. Protecting the karst water body ecosystem not only helps to maintain biodiversity but also can stably provide ecosystem services such as water resource protection and soil conservation; Understanding the relationship between the growth of aquatic organisms and carbon storage in karst water bodies can provide a scientific basis for the sustainable management of karst areas. This management includes reasonable water resource utilization, pollution prevention, and protection of biological habitats to ensure the health and functional integrity of the karst water body ecosystem.

[0042] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods and systems. 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. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) that contain computer-usable program code.

[0043] The present invention is described with reference to the flowcharts and structural diagrams of methods and systems according to the embodiments of the present invention. It should be understood that each process and module combination in the flowcharts and structural diagrams can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one process or multiple processes and structures Figure 1 one module or multiple modules.

[0044] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one process or multiple processes and structures Figure 1 one module or multiple modules.

[0045] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one process or multiple processes and structures Figure 1 one module or multiple modules.

[0046] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concepts. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0047] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for controlling carbon absorption and fixation by aquatic organisms, characterized in that, It includes the following steps: Simulate the carbon cycle process in karst water bodies based on the karst critical zone theory; Control variables in the simulated karst water body environment to identify the relationship between the growth of aquatic organisms in karst water bodies and the karst water body environment; Obtain the carbon storage under different variable controls in the simulated karst water body environment, and then, based on the carbon cycle process in the simulated karst water body and the relationship between the growth of aquatic organisms in karst water bodies and the karst water body environment, identify the relationship between the growth of aquatic organisms in karst water bodies and the carbon storage in karst water bodies; Investigate and monitor the wild karst environment based on the relationship between the growth of aquatic organisms in karst water bodies and the carbon storage in karst water bodies, and provide feedback on the wild karst environment where the detected carbon storage does not meet the standard; The specific analysis of controlling variables in the simulated karst water body environment to identify the relationship between the growth of aquatic organisms in karst water bodies and the karst water body environment is as follows: The simulated karst water body environment specifically includes the surface water body environment, the middle water body environment, and the groundwater body environment; Respectively select the representative aquatic organisms in the surface water body environment, the middle water body environment, and the groundwater body environment of the karst critical zone as the first representative aquatic organism, the second representative aquatic organism, and the third representative aquatic organism; Obtain the surface water body environment data, the middle water body environment data, and the groundwater body environment data; Process the outliers and missing values in the surface water body environment data, the middle water body environment data, and the groundwater body environment data, and then respectively select the differential data in the surface water body environment data, the middle water body environment data, and the groundwater body environment data as the first representative environment data, the second representative environment data, and the third representative environment data; Respectively adjust the first representative environment data, the second representative environment data, and the third representative environment data, and obtain the corresponding first representative aquatic organism growth data, second representative aquatic organism data, and third representative aquatic organism data under each adjustment; Take the first representative environment data as the input and the first representative aquatic organism growth data as the output, and identify the linear relationship between the first representative environment data and the first representative aquatic organism growth data based on the change of the first representative aquatic organism growth data under the adjustment of the first representative environment data; Take the second representative environment data as the input and the second representative aquatic organism growth data as the output, and identify the linear relationship between the second representative environment data and the second representative aquatic organism growth data based on the change of the second representative aquatic organism growth data under the adjustment of the second representative environment data; Take the third representative environment data as the input and the third representative aquatic organism growth data as the output, and identify the linear relationship between the third representative environment data and the third representative aquatic organism growth data based on the change of the third representative aquatic organism growth data under the adjustment of the third representative environment data.

2. The carbon absorption and carbon sequestration control method for aquatic organisms according to claim 1, characterized in that, The specific analysis of simulating the carbon cycle process in karst water bodies based on the karst critical zone theory is as follows: Collect atmospheric parameters, hydrological parameters, soil parameters, vegetation parameters, and aquatic organism parameters in different wild karst regions as inputs for the basic karst carbon cycle model. Combine with the relationship between aquatic organisms and carbon cycle in different layers of the karst critical zone learned and understood using the karst critical zone theory to obtain the basic karst carbon cycle model. Obtain anthropogenic impact factor data based on the impact of human activities on carbon input and output. Input the anthropogenic impact factor data into the basic karst carbon cycle model for adjustment to obtain the in-depth karst carbon cycle model, and simulate the actual karst carbon cycle process. The anthropogenic impact factor data specifically includes agricultural activity factor data, urbanization factor data, and industrial emission factor data.

3. The carbon absorption and carbon fixation control method for aquatic organisms according to claim 1, characterized in that The growth data of the first representative aquatic organisms is specifically the reproduction rate of the first representative aquatic organisms, the growth data of the second representative aquatic organisms is specifically the reproduction rate of the second representative aquatic organisms, and the growth data of the third representative aquatic organisms is specifically the reproduction rate of the third representative aquatic organisms. The first representative environmental data specifically includes weather temperature, soil erosion amount, and rainfall. The second representative environmental data specifically includes calcium ion concentration in carbonate rocks and carbonate rock permeability. The third representative environmental data specifically includes groundwater depth and groundwater flow velocity.

4. A method for controlling carbon absorption and sequestration by aquatic organisms according to claim 1, characterized in that, Obtain the carbon storage under the control of different variables in the simulated karst water environment. Then, based on the carbon cycle process in the simulated karst water body and the relationship between the growth of aquatic organisms in the karst water body and the karst water environment, the specific analysis of the relationship between the growth of aquatic organisms in the karst water body and the carbon storage in the karst water body is as follows: Obtain the corresponding water body carbon content under each adjustment of the first representative environmental data, the second representative environmental data, and the third representative environmental data. Based on the simulation of the actual karst carbon cycle process by the in-depth karst carbon cycle model, identify the carbon sequestration factors in the surface water body environment, middle water body environment, and groundwater body environment of the karst critical zone. The carbon sequestration factors specifically include aquatic organism factors and non-aquatic organism factors. The non-aquatic organism factors are specifically water body environmental factors. Take the first representative environmental data as the input and the carbon storage in the corresponding surface water body environment as the output. Based on the change of the carbon storage in the surface water body environment under the adjustment of the first representative environmental data, identify the linear relationship between the first representative environmental data and the carbon storage in the surface water body environment. Take the second representative environmental data as the input and the carbon storage in the corresponding middle water body environment as the output. Based on the change of the carbon storage in the middle water body environment under the adjustment of the second representative environmental data, identify the linear relationship between the second representative environmental data and the carbon storage in the middle water body environment. Take the third representative environmental data as the input and the carbon storage in the corresponding groundwater body environment as the output. Based on the change of the carbon storage in the groundwater body environment under the adjustment of the third representative environmental data, identify the linear relationship between the third representative environmental data and the carbon storage in the groundwater body environment. Based on the carbon sequestration factors in the surface water environment, middle water environment, and groundwater environment of the identified karst critical zone, the carbon sequestration factors in the surface water environment include the first representative aquatic organism growth data and the first representative environmental data. The carbon sequestration factors in the middle water environment include the second representative aquatic organism growth data and the second representative environmental data. The carbon sequestration factors in the groundwater environment include the third representative aquatic organism growth data and the third representative environmental data. Then, the first representative aquatic organism growth data and the first representative environmental data, the second representative aquatic organism data and the second representative environmental data, and the third representative aquatic organism data and the third representative environmental data are respectively used as inputs, and the carbon storage in the surface water environment, the carbon storage in the middle water environment, and the carbon storage in the groundwater environment are used as outputs to identify the linear relationships between the first representative aquatic organism growth data and the first representative environmental data and the carbon storage in the surface water environment, between the second representative aquatic organism growth data and the second representative environmental data and the carbon storage in the middle water environment, and between the third representative aquatic organism growth data and the third representative environmental data and the carbon storage in the groundwater environment; Combining the linear relationship between the first representative environmental data and the first representative aquatic organism growth data, the linear relationship between the first representative environmental data and the carbon storage in the surface water environment, and the linear relationship between the first representative aquatic organism growth data and the first representative environmental data and the carbon storage in the surface water environment, identify the linear relationship between the first representative aquatic organism growth data and the carbon storage in the surface water environment; Combining the linear relationship between the second representative environmental data and the second representative aquatic organism growth data, the linear relationship between the second representative environmental data and the carbon storage in the middle water environment, and the linear relationship between the second representative aquatic organism growth data and the second representative environmental data and the carbon storage in the middle water environment, identify the linear relationship between the second representative aquatic organism growth data and the carbon storage in the middle water environment; Combining the linear relationship between the third representative environmental data and the third representative aquatic organism growth data, the linear relationship between the third representative environmental data and the carbon storage in the groundwater environment, and the linear relationship between the third representative aquatic organism growth data and the third representative environmental data and the carbon storage in the groundwater environment, identify the linear relationship between the third representative aquatic organism growth data and the carbon storage in the groundwater environment.

5. A method for controlling carbon absorption and fixation by aquatic organisms according to claim 1, characterized in that The specific analysis of providing feedback on the wild karst environment where the investigated and monitored carbon storage does not meet the standard is as follows: Based on the investigation and monitoring of the wild karst environment, obtain the monitored carbon storage in the wild karst surface water environment, the monitored carbon storage in the middle water environment, and the monitored carbon storage in the groundwater environment; Based on the growth status of aquatic organisms in the wild karst environment, respectively output the predicted carbon storage in the wild karst surface water environment, the predicted carbon storage in the middle water environment, and the predicted carbon storage in the groundwater environment; Set a carbon storage monitoring difference threshold through the wild karst environment maintenance requirements. The carbon storage monitoring difference threshold represents the maximum acceptable degree of the gap between the actually monitored carbon storage and the predicted carbon storage obtained by simulating the carbon cycle process in the karst water body; Respectively obtain the differences between the carbon storage amounts of the wild karst surface water environment monitoring, middle water environment monitoring, and groundwater environment monitoring and the predicted carbon storage amounts of the wild karst surface water environment, middle water environment, and groundwater environment. Compare the differences between the carbon storage amounts of the wild karst surface water environment monitoring, middle water environment monitoring, and groundwater environment monitoring and the predicted carbon storage amounts of the wild karst surface water environment, middle water environment, and groundwater environment with the carbon storage monitoring difference threshold respectively. When the differences between the carbon storage amounts of the wild karst surface water environment monitoring, middle water environment monitoring, and groundwater environment monitoring and the predicted carbon storage amounts of the wild karst surface water environment, middle water environment, and groundwater environment are greater than the carbon storage monitoring difference threshold, mark the level with the difference greater than the carbon storage monitoring difference threshold as non-compliant in carbon storage amount, and use the feedback mechanism to give feedback, prompting environmental rectification for this level.

6. The carbon absorption and sequestration control method for aquatic organisms according to claim 5, wherein The specific analysis of respectively outputting the predicted carbon storage amounts of the wild karst surface water environment, middle water environment, and groundwater environment based on the growth conditions of aquatic organisms in the wild karst environment is as follows: Monitor the growth conditions of aquatic organisms in the wild karst environment, and then respectively obtain the growth data of the first-generation aquatic organisms, second-generation aquatic organisms, and third-generation aquatic organisms in the wild karst. The growth data of the first-generation aquatic organisms, second-generation aquatic organisms, and third-generation aquatic organisms in the wild karst are specifically the reproduction rates of the first-generation aquatic organisms, second-generation aquatic organisms, and third-generation aquatic organisms in the wild karst. Based on the linear relationships between the growth data of the first-generation aquatic organisms and the carbon storage amount in the surface water environment, the growth data of the second-generation aquatic organisms and the carbon storage amount in the middle water environment, and the growth data of the third-generation aquatic organisms and the carbon storage amount in the groundwater environment, respectively take the reproduction rates of the first-generation aquatic organisms, second-generation aquatic organisms, and third-generation aquatic organisms in the wild karst as inputs, and output to obtain the predicted carbon storage amounts of the wild karst surface water environment, middle water environment, and groundwater environment.

7. An aquatic organism carbon absorption and fixation control system, which applies the aquatic organism carbon absorption and fixation control method described in any one of claims 1-6, is characterized in that, It includes: A carbon cycle simulation module for simulating the carbon cycle process in karst water bodies based on the karst critical zone theory; An aquatic organism and environment relationship identification module for controlling variables in the simulated karst water environment and identifying the relationship between the growth of aquatic organisms in karst water bodies and the karst water environment; An aquatic organism and carbon storage relationship identification module for obtaining the carbon storage amounts under different variable controls in the simulated karst water environment, and then based on the carbon cycle process in the simulated karst water bodies and the relationship between the growth of aquatic organisms in karst water bodies and the karst water environment, identifying the relationship between the growth of aquatic organisms in karst water bodies and the carbon storage amount in karst water bodies. Wild karst environment monitoring module, which is used to investigate and monitor the wild karst environment based on the relationship between the growth of aquatic organisms in karst water bodies and the carbon storage in karst water bodies, and feedback on the wild karst environment with unqualified carbon storage detected during the investigation and monitoring.

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