Artificial mangrove forest ecosystem coastal blue carbon evaluation system and method

Abstract

The invention relates to the technical field of ecosystem evaluation, and discloses an artificial mangrove forest ecosystem coastal blue carbon evaluation system and method, and the system comprises a data collection module which is used for collecting the basic data of an artificial mangrove forest ecosystem; the preprocessing module is used for preprocessing the basic data; the evaluation module is used for evaluating the blue carbon amount of the artificial mangrove forest system; the vegetation biomass carbon reserve evaluation unit is used for evaluating the carbon reserve of the vegetation biomass in the artificial mangrove forest ecological system; the soil carbon reserve evaluation unit is used for evaluating the carbon reserve in the soil in the artificial mangrove forest ecological system; the fixed carbon quantity evaluation unit in the gas exchange process is used for evaluating the carbon quantity in the gas exchange process in the artificial mangrove forest ecological system; the comprehensive evaluation unit is used for obtaining a comprehensive evaluation value of the blue carbon content of the artificial mangrove forest ecological system; and the output module is used for outputting the blue carbon amount of the artificial mangrove forest system. And comprehensive and accurate evaluation of the blue carbon content is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of ecosystem assessment, and in particular to a system and method for assessing coastal blue carbon in an artificial mangrove ecosystem. Background Art

[0002] As global climate change intensifies, the carbon sink function in ecosystems has received increasing attention. As an important coastal ecosystem, artificial mangroves not only have functions such as windbreak and sand fixation, water purification, etc., but can also effectively store a large amount of carbon, and are known as "blue carbon" ecosystems. Therefore, accurately assessing the amount of blue carbon in artificial mangrove ecosystems is of great significance for climate change response, environmental protection and ecological restoration.

[0003] At present, the assessment of blue carbon in artificial mangrove ecosystems mainly relies on manual sampling, laboratory analysis and limited on-site monitoring methods. These traditional methods have many shortcomings, such as discontinuous data collection, limited monitoring range, and complex data processing, which are difficult to meet the needs of large-scale and long-term monitoring. In addition, the existing technology lacks a complete set of automated assessment systems, making it impossible to achieve real-time and comprehensive monitoring of blue carbon in artificial mangrove ecosystems. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a coastal blue carbon assessment system and method for an artificial mangrove ecosystem. The system collects, preprocesses, and evaluates basic data of the artificial mangrove ecosystem, and finally outputs a comprehensive assessment value, thereby achieving comprehensive monitoring and assessment of the blue carbon content of the artificial mangrove ecosystem.

[0005] The present invention provides an artificial mangrove ecosystem coastal blue carbon assessment system, comprising the following modules: Data collection module: used to collect basic data of artificial mangrove ecosystem; Preprocessing module: connected with the data acquisition module, used to preprocess the basic data; Evaluation module: connected with the preprocessing module, used to evaluate the amount of blue carbon in the artificial mangrove system based on the preprocessed basic data; The assessment module also includes the following units: Vegetation biomass carbon stock assessment unit: used to assess the carbon stock of vegetation biomass in artificial mangrove ecosystems; Soil carbon stock assessment unit: used to assess the carbon stock in the soil of artificial mangrove ecosystems; The carbon fixation assessment unit of the gas exchange process is used to assess the carbon fixation of the gas exchange process in the artificial mangrove ecosystem; The comprehensive assessment unit is connected with the vegetation biocarbon stock assessment unit, the soil carbon stock assessment unit and the fixed carbon assessment unit in the gas exchange process, and is used to integrate the assessment results of the vegetation biocarbon stock assessment unit, the soil carbon stock assessment unit and the fixed carbon assessment unit in the gas exchange process to obtain a comprehensive assessment value of blue carbon in the artificial mangrove ecosystem; Output module: connected with the evaluation module, used to output the blue carbon content of the artificial mangrove system.

[0006] Furthermore, the basic data includes: environmental data, image data, vegetation coverage data, and soil data of the artificial mangrove ecosystem.

[0007] Furthermore, the vegetation biomass carbon stock assessment unit is used to calculate the assessment value of vegetation biomass carbon stock, and includes the following subunits: Vegetation coverage area acquisition subunit: used to obtain vegetation coverage area; Vegetation average carbon density acquisition subunit: used to obtain vegetation average carbon density; Vegetation biomass coefficient acquisition subunit: used to obtain vegetation biomass coefficient.

[0008] Furthermore, the soil carbon storage assessment unit is used to calculate the assessment value of soil carbon storage, and includes the following subunits: Soil volume acquisition subunit: used to acquire soil volume; Soil carbon density acquisition subunit: used to obtain soil carbon density; Soil coefficient acquisition subunit: used to obtain soil coefficient.

[0009] Furthermore, the fixed carbon amount evaluation unit of the gas exchange process is used to calculate the evaluation value of the fixed carbon amount of the gas exchange process, and includes the following subunits: Photosynthesis carbon acquisition subunit: used to obtain the carbon produced during photosynthesis; Gas exchange coefficient acquisition subunit: used to obtain gas exchange coefficient.

[0010] Furthermore, the comprehensive assessment value of blue carbon is calculated based on the assessment value of vegetation biomass carbon storage, the assessment value of soil carbon storage, and the assessment value of fixed carbon in the gas exchange process.

[0011] Furthermore, the vegetation biomass carbon stock assessment unit also includes a neural network model for predicting vegetation biomass coefficient, soil coefficient, and gas exchange coefficient.

[0012] Furthermore, when the neural network model predicts the vegetation biomass coefficient, soil coefficient and gas exchange coefficient, the training sets, input data and output data used are different.

[0013] The present invention also provides a method for evaluating coastal blue carbon in an artificial mangrove ecosystem. The above-mentioned coastal blue carbon evaluation system for an artificial mangrove ecosystem is implemented by the following steps: Step 1: Collect basic data of artificial mangrove ecosystem; Step 2, receiving basic data and preprocessing; Step 3, receiving the pre-processed basic data for evaluation, and obtaining a comprehensive evaluation value of the blue carbon content of the artificial mangrove system; Step 4: Output the comprehensive assessment value of blue carbon content of the artificial mangrove system.

[0014] The embodiments of the present invention have the following technical effects: The present invention realizes a comprehensive and accurate assessment of the blue carbon content of an artificial mangrove ecosystem by setting a data acquisition module, a preprocessing module, a vegetation biomass carbon stock assessment unit, a soil carbon stock assessment unit, a gas exchange process fixed carbon assessment unit, a comprehensive assessment unit and an output module. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a schematic diagram of the structure of the coastal blue carbon assessment system of the artificial mangrove ecosystem provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0018] Figure 1 Schematic diagram of the structure of the coastal blue carbon assessment system of the artificial mangrove ecosystem provided by the embodiment of the present invention. Figure 1 , including the following modules: Data collection module: used to collect basic data of artificial mangrove ecosystem.

[0019] The data acquisition module includes a sensor unit, an image acquisition unit, a ground monitoring unit, and a wireless communication unit; the sensor unit is used to monitor the environmental data in the artificial mangrove ecosystem in real time; the image acquisition unit is used to obtain image data of each area in the artificial mangrove ecosystem; the ground monitoring unit is used to obtain soil data of the artificial mangrove ecosystem; and the wireless communication unit is used to transmit the environmental data, image data, and soil data to a central processor.

[0020] Furthermore, different types of sensors are deployed at multiple locations in the artificial mangrove ecosystem to collect environmental data such as temperature, humidity, and light intensity. The artificial mangrove ecosystem is divided into several areas, and waterproof drones are deployed in each area to capture ecological environment images of each area. A large amount of image data is obtained from the ecological environment images, and the image data can be vegetation coverage data (vegetation coverage / area, vegetation coverage type). Soil samples are collected at different depths in the artificial mangrove ecosystem, and the soil samples are measured using monitoring equipment to obtain soil volume, soil type, soil thickness, etc.

[0021] By deploying sensor units, image acquisition units, ground monitoring units and wireless communication units in the artificial mangrove ecosystem, real-time monitoring of environmental data, vegetation coverage data and soil data is achieved. This enables the system to capture environmental changes in a short period of time, reflect changes in the state of the ecosystem in a timely manner, and enhance the timeliness and continuity of the data. By using drones to capture ecological and environmental images, a wide range of vegetation coverage data is obtained, which expands the monitoring scope, improves the monitoring coverage, and ensures that the evaluation results are more comprehensive and accurate.

[0022] Preprocessing module: connected to the data acquisition module, used to preprocess the basic data.

[0023] The preprocessing module includes: an image recognition unit, a data cleaning unit, a data fusion unit, and a data storage unit; the data recognition unit recognizes vegetation coverage data from the ecological environment image. The data cleaning unit removes invalid data and abnormal values ​​from the ecological environment image, environmental data, and soil data. The data fusion unit fuses the vegetation coverage data, environmental data, and soil data. The data storage unit saves the above fused data for subsequent analysis.

[0024] This embodiment uses an edge detection algorithm to obtain the edge contour line of the vegetation to obtain the edge contour area, calculates the area covered by the vegetation according to the pixel points in the edge contour area, and obtains the vegetation coverage of the current area relative to the artificial mangrove ecosystem based on the area covered by the vegetation.

[0025] Evaluation module: connected with the preprocessing module, it is used to evaluate the amount of blue carbon in the artificial mangrove system based on the preprocessed basic data.

[0026] The assessment module includes: a vegetation biomass carbon stock assessment unit: used to assess the carbon stock of vegetation biomass in the artificial mangrove ecosystem to obtain an assessment value of the vegetation biomass carbon stock.

[0027] Furthermore, the vegetation biomass carbon stock assessment unit includes the following subunits: Vegetation coverage area acquisition subunit: used to obtain vegetation coverage area.

[0028] The vegetation coverage area acquisition subunit is connected to the image acquisition unit. The image acquisition unit transmits the vegetation coverage to the vegetation coverage area acquisition subunit.

[0029] Vegetation average carbon density acquisition subunit: used to obtain the average carbon density of vegetation.

[0030] The average carbon density of vegetation is achieved by combining field sampling and laboratory analysis. Specifically, the vegetation average carbon density acquisition subunit is connected to the image acquisition unit. In this embodiment, a number of vegetation samples are collected from areas with large vegetation coverage / area (for smaller plants or seedlings, the whole plant can be collected; for larger plants, they are collected separately by parts (such as leaves, branches, stems, roots)), and the vegetation sample area, vegetation sample type, etc. are recorded. The vegetation samples are dried and crushed, and the carbon content is determined by an elemental analyzer. It is well known that the average carbon content in the dry weight of plants is about 45% to 50%. Therefore, the dry weight is multiplied by the average carbon content (0.45 or 0.50) to estimate the carbon content. Finally, the carbon content of a single vegetation sample is divided by the sampling area of ​​the vegetation sample to obtain the carbon density of the single vegetation sample, and the carbon density of all prepared samples is averaged to obtain the average carbon density of the vegetation.

[0031] Vegetation biomass coefficient acquisition subunit: used to obtain vegetation biomass coefficient.

[0032] The vegetation biomass coefficient and the soil coefficient and gas exchange coefficient mentioned below are all predicted using neural network models. The difference lies in the training sets, input data, and output data used.

[0033] Construct a vegetation biomass coefficient prediction model and connect it with the vegetation biomass coefficient acquisition subunit.

[0034] Furthermore, the historical data of the artificial mangrove ecosystem are obtained: historical vegetation tree species types, historical vegetation shrub types, historical tree heights, historical breast diameters, historical crown widths, historical biomass, and historical biomass coefficients of historical vegetation tree species types or historical vegetation shrub types at different growth stages. After preprocessing the above data, they are used as training sets for the vegetation biomass coefficient prediction model, thereby obtaining a trained vegetation biomass coefficient prediction model.

[0035] The historical biomass coefficient in the training set is used as the prediction label. The tree height, breast diameter, crown width, and biomass of the vegetation tree species type, vegetation shrub type, vegetation tree species type, or vegetation shrub type at different growth stages obtained in real time are used as the input data of the biomass coefficient prediction model, and the biomass coefficient is used as the output data.

[0036] Estimated carbon stocks in vegetation biomass , calculated by the following formula: ; represents the vegetation coverage area of ​​the ith region, represents the average carbon density of the ith region, Represents the biomass coefficient of the ith region.

[0037] By building a vegetation biomass coefficient prediction model, the automatic assessment of vegetation biomass carbon storage is realized. The model is trained using historical data and can predict vegetation biomass coefficients based on real-time data, improving the accuracy and reliability of the assessment.

[0038] The vegetation biomass carbon stock assessment unit includes a vegetation coverage area acquisition subunit, a vegetation average carbon density acquisition subunit and a vegetation biomass coefficient acquisition subunit. Through these subunits, the entire process from data collection to assessment is automated, reducing manual intervention and improving work efficiency.

[0039] Soil carbon stock assessment unit: used to assess the carbon stock of the soil in the artificial mangrove ecosystem and obtain the assessment value of soil carbon stock.

[0040] Soil carbon stock assessment unit, including the following subunits: Soil volume acquisition subunit: used to obtain soil volume.

[0041] Select a representative sampling point that can reflect the soil characteristics of the entire area as a sampling point, and collect multiple layers of soil samples at different depths at the sampling point. If the soil sample is inserted vertically into the soil by the ring knife method, then the soil sample in the ring knife is taken out. The inner diameter and height of the ring knife are known, and the soil volume V is calculated by the following formula: ; R is the radius of the cutter ring, and h is the height of the cutter ring. If the soil sample is excavated by digging a pit of standard volume on the ground, and then the size of the pit (length l, width w, depth d) is measured, the soil volume V is calculated: .

[0042] Soil carbon density acquisition subunit: used to obtain soil carbon density.

[0043] The collected soil samples were placed in an oven and dried at 60°C to 80°C to constant weight. The dry weight of the dried soil samples was weighed using an electronic balance, and the carbon content in the soil samples was determined using an elemental analyzer. , calculate soil carbon density.

[0044] Soil coefficient acquisition subunit: used to obtain soil coefficient.

[0045] First, a soil coefficient prediction model was constructed. The historical data of the artificial mangrove ecosystem were used to obtain the following: historical soil types (clay, sand, loam), historical organic matter decomposition rates of different historical soil types, historical carbon density, historical pH value, historical nutrient content, and historical soil coefficient. After preprocessing the above data, it was used as the training set of the soil coefficient prediction model to obtain a trained soil coefficient prediction model.

[0046] The historical soil coefficient in the training set is used as the prediction label. The real-time soil type, organic matter decomposition rate, carbon density, pH value, and nutrient content of the soil type are used as the input data of the soil coefficient prediction model, and the biomass coefficient is used as the output data.

[0047] Estimated soil carbon stocks , calculated by the following formula: ; represents the soil volume of the j-th layer soil sample, represents the carbon density of the j-th layer soil sample, Represents the soil coefficient of the j-th layer of soil sample.

[0048] By building a soil coefficient prediction model, the automatic assessment of soil carbon storage is realized. The model is trained with historical data and can predict soil coefficients based on real-time data, providing a scientific basis for soil carbon storage assessment.

[0049] The soil carbon stock assessment unit includes a soil volume acquisition subunit, a soil carbon density acquisition subunit and a soil coefficient acquisition subunit. Through these subunits, comprehensive monitoring of soil volume, carbon density and soil coefficient is achieved, ensuring the comprehensiveness and accuracy of the assessment results.

[0050] The fixed carbon amount assessment unit of the gas exchange process is used to assess the carbon amount of the gas exchange process in the artificial mangrove ecosystem and calculate the assessment value of the fixed carbon amount of the gas exchange process. The unit for assessing the amount of carbon fixed by gas exchange processes includes the following subunits: Photosynthesis carbon acquisition subunit: used to obtain the carbon produced during photosynthesis.

[0051] The acquisition of photosynthetic carbon involves the process by which plants absorb carbon dioxide through photosynthesis and convert it into organic matter. To obtain the amount of carbon produced in this process, it is usually necessary to measure the net photosynthesis rate of the plant and calculate how much carbon the plant fixes per unit time.

[0052] Use a portable photosynthesis meter to directly measure the photosynthesis rate of leaves. This instrument is usually able to measure parameters such as CO2 exchange rate, water use efficiency, transpiration rate, etc. Under laboratory conditions, the photosynthesis rate is estimated by controlling the gas environment (CO2 concentration) and measuring the changes in gas composition over a period of time. The molecular formula for plant photosynthesis to fix CO2 is 6CO2+6H2O→C6H 12 O6+6O2. It can be seen that every time a molecule of CO2 is fixed, it is equivalent to fixing 1 / 3 of a molecule of carbon. Therefore, the amount of carbon fixed is estimated by measuring the reduction in CO2. If the mole or mass of CO2 is measured, the mass of CO2 can be converted to the mass of carbon according to the principle of stoichiometry. For example, each mole of CO2 (about 44 grams) contains 1 mole of carbon (about 12 grams). Therefore, the amount of carbon fixed (g) can be calculated by the following formula: .

[0053] Gas exchange coefficient acquisition subunit: used to obtain gas exchange coefficient.

[0054] First, a gas exchange coefficient prediction model was constructed. The historical data of the artificial mangrove ecosystem were used to obtain the following: historical temperature, historical humidity, historical rainfall, historical gas exchange rate, and historical gas exchange coefficient for each season. After preprocessing the above data, it was used as a training set for the gas exchange coefficient prediction model to obtain a trained gas exchange coefficient prediction model.

[0055] The historical gas exchange coefficient is used as the prediction label, the real-time temperature, humidity, rainfall, and gas exchange rate of each season are used as input data, and the gas exchange coefficient is used as output data.

[0056] Estimation of carbon fixation by gas exchange processes , calculated by the following formula: ; represents the amount of fixed carbon obtained through photosynthesis in the kth time period, Represents the gas exchange coefficient in the kth time period.

[0057] By constructing a gas exchange coefficient prediction model, the automatic evaluation of the amount of carbon fixed in the gas exchange process is realized. The model is trained using historical data and can predict the gas exchange coefficient based on real-time data, which improves the accuracy and real-time performance of the evaluation. The fixed carbon evaluation unit of the gas exchange process includes a photosynthesis carbon acquisition subunit and a gas exchange coefficient acquisition subunit. Through these subunits, the accurate measurement and evaluation of the carbon produced in the photosynthesis process is achieved, ensuring the scientificity and reliability of the evaluation results.

[0058] The comprehensive assessment unit is connected with the vegetation biocarbon stock assessment unit, the soil carbon stock assessment unit and the fixed carbon amount assessment unit in the gas exchange process, and is used to integrate the assessment results of the vegetation biocarbon stock assessment unit, the soil carbon stock assessment unit and the fixed carbon amount assessment unit in the gas exchange process to obtain the comprehensive assessment value B of the blue carbon amount of the artificial mangrove ecosystem; The comprehensive assessment value of blue carbon is calculated based on the assessment value of vegetation biomass carbon storage, the assessment value of soil carbon storage, and the assessment value of fixed carbon in the gas exchange process.

[0059] .

[0060] The comprehensive assessment unit comprehensively evaluates the data of the vegetation biomass carbon storage assessment unit, the soil carbon storage assessment unit, and the fixed carbon assessment unit in the gas exchange process, and obtains the comprehensive assessment value of blue carbon in the artificial mangrove ecosystem. This comprehensive assessment method can fully reflect the carbon sink function of the artificial mangrove ecosystem, provide a scientific basis for ecological protection and management, and integrate the assessment results of each sub-unit to obtain the final comprehensive assessment value through scientific calculation methods, ensuring the systematicness and integrity of the assessment results.

[0061] Output module: connected with the assessment module, used to output the comprehensive assessment value of blue carbon content of the artificial mangrove system.

[0062] This embodiment also discloses a method for assessing coastal blue carbon in an artificial mangrove ecosystem, which is implemented based on the above-mentioned coastal blue carbon assessment system for an artificial mangrove ecosystem and includes the following steps: Step 1: Collect basic data of artificial mangrove ecosystem.

[0063] Different types of sensors are deployed at multiple locations in the artificial mangrove ecosystem to collect environmental data such as temperature, humidity, and light intensity. The artificial mangrove ecosystem is divided into several areas, and waterproof drones are deployed in each area to capture ecological and environmental images of each area. A large amount of image data is obtained from the ecological and environmental images, and the image data can be vegetation coverage data (vegetation coverage / area, vegetation coverage type). Soil samples are collected at different depths in the artificial mangrove ecosystem, and the soil samples are measured using monitoring equipment to obtain soil volume, soil type, soil thickness, etc.

[0064] Step 2: Receive basic data and perform preprocessing.

[0065] Preprocessing includes: Image recognition: Using edge detection algorithm, the edge contour line of vegetation is obtained to get the edge contour area. The area covered by vegetation is calculated based on the pixel points in the edge contour area. Based on the area covered by vegetation, the vegetation coverage of the current area relative to the artificial mangrove ecosystem is obtained.

[0066] Data cleaning: Remove invalid data and outliers from ecological environment images, environmental data, and soil data.

[0067] Data fusion: Fusion of vegetation cover data, environmental data, and soil data.

[0068] Step 3: Receive the pre-processed basic data for evaluation to obtain a comprehensive evaluation value of the blue carbon content of the artificial mangrove system.

[0069] Obtain the vegetation biomass carbon stock, soil carbon stock, and fixed carbon in the gas exchange process, calculate the comprehensive assessment value of the blue carbon content of the artificial mangrove system, and realize the assessment.

[0070] Obtaining vegetation biomass carbon storage specifically includes: obtaining vegetation coverage area according to the ecological environment image, obtaining the average carbon density of vegetation, obtaining the vegetation biomass coefficient, and calculating the vegetation biomass carbon storage. Among them, the average carbon density of vegetation is completed by combining field sampling and laboratory analysis. Specifically, the vegetation average carbon density acquisition subunit is connected to the image acquisition unit. In this embodiment, a number of vegetation samples are collected from areas with large vegetation coverage / area (for smaller plants or seedlings, the whole plant can be collected; for larger plants, they are collected separately according to parts (such as leaves, branches, stems, roots)), and the vegetation sample area, vegetation sample type, etc. are recorded. The vegetation samples are dried and crushed, and the carbon content is determined by an elemental analysis instrument. It is well known that the average carbon content in plant dry weight is about 45% to 50%. Therefore, the dry weight is multiplied by the average carbon content (0.45 or 0.50) to estimate the carbon content. Finally, the carbon content of a single vegetation sample is divided by the sampling area of ​​the vegetation sample to obtain the carbon density of a single vegetation sample, and the carbon density of all prepared samples is averaged to obtain the average carbon density of vegetation. A vegetation biomass coefficient prediction model is constructed, and the historical data of the artificial mangrove ecosystem are obtained: historical vegetation tree species type, historical vegetation shrub type, historical vegetation tree species type or historical vegetation shrub type at different growth stages of historical tree height, historical diameter at breast height, historical crown width, historical biomass, and historical biomass coefficient. After preprocessing the above data, it is used as a training set for the vegetation biomass coefficient prediction model to obtain a trained vegetation biomass coefficient prediction model. The historical biomass coefficient in the training set is used as a prediction label. The tree height, diameter at breast height, crown width, and biomass of the vegetation tree species type, vegetation shrub type, vegetation tree species type, or vegetation shrub type at different growth stages obtained in real time are used as input data of the biomass coefficient prediction model, and the biomass coefficient is used as output data.

[0071] Estimated carbon stocks in vegetation biomass , calculated by the following formula: ; represents the vegetation coverage area of ​​the ith region, represents the average carbon density of the ith region, Represents the biomass coefficient of the ith region.

[0072] Obtaining soil carbon storage, specifically including: obtaining soil volume, soil carbon density, soil coefficient, and obtaining soil carbon storage.

[0073] Furthermore, a representative sampling point is selected, and a location that can reflect the soil characteristics of the entire area is used as a sampling point, and multiple layers of soil samples are collected at different depths at the sampling point. If the soil sample is inserted vertically into the soil by the ring knife method, and then the soil sample in the ring knife is taken out. The inner diameter and height of the ring knife are known, and the soil volume V is calculated by the following formula: ; R is the radius of the cutter ring, and h is the height of the cutter ring. If the soil sample is excavated by digging a pit of standard volume on the ground, and then the size of the pit (length l, width w, depth d) is measured, the soil volume V is calculated: The collected soil samples were placed in an oven and dried at 60°C to 80°C to constant weight. The dry weight of the dried soil samples was weighed using an electronic balance, and the carbon content in the soil samples was determined using an elemental analyzer. , calculate soil carbon density.

[0074] Construct a soil coefficient prediction model. Obtain the historical data of the artificial mangrove ecosystem: historical soil types (clay, sand, loam), historical organic matter decomposition rates of different historical soil types, historical carbon density, historical pH value, historical nutrient content, and historical soil coefficient. After preprocessing the above data, use it as the training set of the soil coefficient prediction model to obtain a trained soil coefficient prediction model.

[0075] The historical soil coefficient in the training set is used as the prediction label. The real-time soil type, organic matter decomposition rate, carbon density, pH value, and nutrient content of the soil type are used as the input data of the soil coefficient prediction model, and the biomass coefficient is used as the output data.

[0076] Estimated soil carbon stocks , calculated by the following formula: ; represents the soil volume of the j-th layer soil sample, represents the carbon density of the j-th layer of soil sample, Represents the soil coefficient of the j-th layer of soil sample.

[0077] Obtaining the fixed carbon amount in the gas exchange process specifically includes: obtaining the photosynthetic carbon amount and the gas exchange coefficient to obtain the fixed carbon amount in the gas exchange process.

[0078] Furthermore, obtaining photosynthetic carbon involves the process by which plants absorb carbon dioxide through photosynthesis and convert it into organic matter. To obtain the amount of carbon produced in this process, it is usually necessary to measure the net photosynthesis rate of the plant and calculate how much carbon the plant fixes per unit time.

[0079] Use a portable photosynthesis meter to directly measure the photosynthesis rate of leaves. This instrument is usually able to measure parameters such as CO2 exchange rate, water use efficiency, transpiration rate, etc. Under laboratory conditions, the photosynthesis rate is estimated by controlling the gas environment (CO2 concentration) and measuring the changes in gas composition over a period of time. The molecular formula for plant photosynthesis to fix CO2 is 6CO2+6H2O→C6H 12 O6+6O2. It can be seen that every time a molecule of CO2 is fixed, it is equivalent to fixing 1 / 3 of a molecule of carbon. Therefore, the amount of carbon fixed is estimated by measuring the reduction in CO2. If the mole or mass of CO2 is measured, the mass of CO2 can be converted to the mass of carbon according to the principle of stoichiometry. For example, each mole of CO2 (about 44 grams) contains 1 mole of carbon (about 12 grams). Therefore, the amount of carbon fixed (g) can be calculated by the following formula: .

[0080] Construct a gas exchange coefficient prediction model. Obtain the historical data of the artificial mangrove ecosystem: historical temperature, historical humidity, historical rainfall, historical gas exchange rate, and historical gas exchange coefficient for each season. After preprocessing the above data, use it as a training set for the gas exchange coefficient prediction model to obtain a trained gas exchange coefficient prediction model.

[0081] The historical gas exchange coefficient is used as the prediction label, the real-time temperature, humidity, rainfall, and gas exchange rate of each season are used as input data, and the gas exchange coefficient is used as output data.

[0082] Estimation of carbon fixation by gas exchange processes , calculated by the following formula: ; represents the amount of fixed carbon obtained through photosynthesis in the kth time period, Represents the gas exchange coefficient in the kth time period.

[0083] Based on the vegetation biocarbon storage assessment unit, soil carbon storage assessment unit, and fixed carbon assessment unit of the gas exchange process, the comprehensive assessment value B of blue carbon in the artificial mangrove ecosystem was obtained; The comprehensive assessment value of blue carbon is calculated based on the assessment value of vegetation biomass carbon storage, the assessment value of soil carbon storage, and the assessment value of fixed carbon in the gas exchange process.

[0084] .

[0085] Finally, the comprehensive assessment value of blue carbon content in the artificial mangrove system is output.

[0086] Step 4: Output the comprehensive assessment value of blue carbon content of the artificial mangrove system.

[0087] It should be noted that the terms used in the present invention are only for describing specific embodiments, rather than limiting the scope of the present application. As shown in the present specification, unless the context clearly indicates an exception, the words "one", "a", "a kind of" and / or "the" do not specifically refer to the singular, but may also include the plural. The terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method or device. In the absence of more restrictions, the elements defined by the sentence "include one..." do not exclude the presence of other identical elements in the process, method or device including the elements.

[0088] It should also be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", etc. should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0089] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. The artificial mangrove ecosystem coastal blue carbon assessment system is characterized by: Includes the following modules: Data collection module: used to collect basic data of artificial mangrove ecosystem; Preprocessing module: connected with the data acquisition module, used to preprocess the basic data; Evaluation module: connected with the preprocessing module, used to evaluate the amount of blue carbon in the artificial mangrove system based on the preprocessed basic data; The assessment module also includes the following units: Vegetation biomass carbon stock assessment unit: used to assess the carbon stock of vegetation biomass in artificial mangrove ecosystems; Soil carbon stock assessment unit: used to assess the carbon stock in the soil of artificial mangrove ecosystems; The carbon fixed amount assessment unit of the gas exchange process is used to assess the carbon amount of the gas exchange process in the artificial mangrove ecosystem; The comprehensive assessment unit is connected with the vegetation biocarbon stock assessment unit, the soil carbon stock assessment unit and the fixed carbon assessment unit in the gas exchange process, and is used to integrate the assessment results of the vegetation biocarbon stock assessment unit, the soil carbon stock assessment unit and the fixed carbon assessment unit in the gas exchange process to obtain a comprehensive assessment value of blue carbon in the artificial mangrove ecosystem; Output module: connected with the evaluation module, used to output the blue carbon content of the artificial mangrove system.

2. The artificial mangrove ecosystem coastal blue carbon assessment system according to claim 1, characterized in that: The basic data include: environmental data, image data, vegetation coverage data and soil data of the artificial mangrove ecosystem.

3. The artificial mangrove ecosystem coastal blue carbon assessment system according to claim 2, characterized in that: The vegetation biomass carbon stock assessment unit is used to calculate the assessment value of vegetation biomass carbon stock, and includes the following subunits: Vegetation coverage area acquisition subunit: used to obtain vegetation coverage area; Vegetation average carbon density acquisition subunit: used to obtain vegetation average carbon density; Vegetation biomass coefficient acquisition subunit: used to obtain vegetation biomass coefficient.

4. The artificial mangrove ecosystem coastal blue carbon assessment system according to claim 3 is characterized in that: The soil carbon stock assessment unit is used to calculate the assessment value of soil carbon stock, and includes the following subunits: Soil volume acquisition subunit: used to acquire soil volume; Soil carbon density acquisition subunit: used to obtain soil carbon density; Soil coefficient acquisition subunit: used to obtain soil coefficient.

5. The artificial mangrove ecosystem coastal blue carbon assessment system according to claim 4, characterized in that: The fixed carbon amount evaluation unit of the gas exchange process is used to calculate the evaluation value of the fixed carbon amount of the gas exchange process. It includes the following subunits: Photosynthesis carbon acquisition subunit: used to obtain the carbon produced during photosynthesis; Gas exchange coefficient acquisition subunit: used to obtain the gas exchange coefficient.

6. The artificial mangrove ecosystem coastal blue carbon assessment system according to claim 5, characterized in that: The comprehensive assessment value of blue carbon is calculated based on the assessment value of vegetation biomass carbon storage, the assessment value of soil carbon storage, and the assessment value of fixed carbon in the gas exchange process.

7. The artificial mangrove ecosystem coastal blue carbon assessment system according to claim 6, characterized in that: The vegetation biomass carbon storage assessment unit also includes a neural network model for predicting vegetation biomass coefficient, soil coefficient, and gas exchange coefficient.

8. The artificial mangrove ecosystem coastal blue carbon assessment system according to claim 7, characterized in that: When the neural network model predicts vegetation biomass coefficient, soil coefficient and gas exchange coefficient, the training sets, input data and output data used are different.

9. A method for assessing coastal blue carbon in an artificial mangrove ecosystem, which is implemented based on the coastal blue carbon assessment system for an artificial mangrove ecosystem according to any one of claims 1 to 8, and is characterized in that: The following steps are involved: Step 1: Collect basic data of artificial mangrove ecosystem; Step 2, receiving basic data and preprocessing; Step 3, receiving the pre-processed basic data for evaluation, and obtaining a comprehensive evaluation value of the blue carbon content of the artificial mangrove system; Step 4: Output the comprehensive assessment value of blue carbon content of the artificial mangrove system.

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