Carbon sink calculation method, computer equipment, storage medium and program product

Abstract

The invention relates to the technical field of carbon sink accounting, and discloses a carbon sink calculation method, computer equipment, a storage medium and a program product, and the carbon sink calculation method comprises the steps: obtaining a plurality of target data in a target space range and a target time range, the target data comprises carbon sink target data of a plurality of carbon sink targets and corresponding basic carbon content data; determining a target model corresponding to the carbon sink target according to the target type of the carbon sink target; based on the carbon sink target data and the basic carbon content data, respectively calculating carbon reserves of corresponding carbon sink targets by using corresponding target models; combining the carbon reserves of the plurality of carbon sink targets by using a carbon sink model, and calculating to obtain a total carbon reserve; and performing sensitivity analysis based on the total carbon reserves to configure a carbon sink target. Classified carbon accounting can be realized, and the carbon sequestration capability is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon sink accounting, and in particular to a carbon sink calculation method, computer equipment, storage medium and program product. Background Art

[0002] Carbon sink refers to the process of reducing the concentration of greenhouse gases in the atmosphere by absorbing carbon dioxide in the atmosphere through measures such as afforestation and vegetation restoration. Ecological carbon sinks are based on traditional carbon sinks and add the role of grasslands, wetlands, oceans and other ecosystems in carbon absorption.

[0003] Green carbon sink, or green carbon, refers to the process of land green plants fixing carbon dioxide through photosynthesis. Forests, river and lake wetlands, grasslands, farmland, etc. all fall into the category of green carbon. Construction involves land development and utilization, environmental transformation and other aspects. During the development process, maintaining a good ecosystem and forming a positive feedback to the ecological environment around the building will greatly help increase the carbon sink. However, the existing carbon sink calculation method cannot improve the carbon sink capacity. Summary of the invention

[0004] In view of this, the present invention provides a carbon sink calculation method, computer equipment, storage medium and program product to achieve classified carbon accounting and improve carbon sink capacity.

[0005] In a first aspect, the present invention provides a carbon sink calculation method, which includes: obtaining multiple target data within a target spatial range and a target time range, the target data including carbon sink target data of multiple carbon sink targets and corresponding basic carbon content data; determining a target model corresponding to the carbon sink target according to the target type of the carbon sink target; based on the carbon sink target data and the basic carbon content data, using the corresponding target model to respectively calculate the carbon reserves of the corresponding carbon sink targets; using the carbon sink model to combine the carbon reserves of multiple carbon sink targets to calculate the total carbon reserves; performing a sensitivity analysis based on the total carbon reserves to configure the carbon sink target.

[0006] In this implementation, according to the types of multiple carbon sink targets and matching corresponding target models, the target model is used to calculate the carbon storage of the corresponding carbon sink target. The present application can calculate the carbon storage separately according to different carbon sink targets, improve the accuracy of carbon storage calculation, and further combine the carbon storage of the spatial range and time range to obtain the total carbon storage, and configure the carbon sink target according to the total carbon storage, which can consolidate the carbon sink capacity of the ecosystem, consolidate the carbon sink increment of the ecosystem, and improve the carbon sink capacity.

[0007] In an optional embodiment, the target spatial range includes a target area and a target climate, the target time range includes a target time period, and obtaining multiple target data within the target spatial range and the target time range includes: obtaining multiple carbon sink targets; and collecting target data of carbon sink targets for the target time period within the target spatial range.

[0008] In an optional embodiment, the carbon sink target includes a biological target and a soil target. According to the target type of the carbon sink target, determining the target model corresponding to the carbon sink target includes: when the carbon sink target is a biological target, determining the biological target model corresponding to the biological target; when the carbon sink target is a soil target, determining the soil target model corresponding to the soil target; based on the carbon sink target data and the basic carbon content data, using the corresponding target model to calculate the carbon reserves of the corresponding carbon sink targets respectively includes: based on the biological target data and the basic biological carbon content data, using the biological target model to calculate the biological carbon reserves of the biological target; based on the soil target data and the basic soil carbon content data, using the soil target model to calculate the soil carbon reserves of the soil target.

[0009] In an optional embodiment, the biological target includes an above-ground biological target, and based on the biological target data and the basic biological carbon content data, calculating the biological carbon storage of the biological target using the biological target model includes: Among them, C DSSW is the carbon storage of aboveground organisms, n is the number of species of the first aboveground organisms, D i is the number of the first terrestrial organism of the i-th species, P i is the basic biological carbon stock of the i-th first aboveground organism, m is the number of second aboveground organisms, E j is the number of the jth second-level organisms, Q j is the basic biological carbon stock of the jth second aboveground organism, s is the number of species of the third aboveground organism, F k is the number of the kth third terrestrial organism, R k is the basic biological carbon stock of the kth third aboveground organism.

[0010] In an optional embodiment, the biological target includes an underground biological target, and based on the biological target data and the basic biological carbon content data, calculating the biological carbon storage of the biological target using the biological target model includes: Among them, C DXSW is the underground biological carbon storage, n is the number of underground biological species, a i is the number of the ith underground organism per unit area, S i is the area of ​​the ith underground organism, T i is the basic biological carbon stock of the ith underground organism.

[0011] In an optional embodiment, based on the soil target data and the basic soil carbon content data, calculating the soil carbon storage of the soil target using the soil target model includes: Among them, C TR is soil carbon storage, n is the type of soil target, ρ i is the carbon density of the i-th type of soil target, S i is the area of ​​the i-th type of soil target, H i is the thickness of the i-th type of soil target, U i is the bulk density of the i-th type of soil target.

[0012] In an optional embodiment, after the carbon storage of multiple carbon sink targets is combined using a carbon sink model to calculate the total carbon storage, the method further includes: analyzing the impact of each carbon sink target data on the total carbon sink based on the carbon sink target data and the total carbon sink amount; and visually displaying the carbon sink target data, the total carbon sink amount and the impact.

[0013] In a second aspect, the present invention provides a carbon sink calculation device, which includes: an acquisition module for acquiring multiple target data within a target spatial range and a target time range, the target data including carbon sink target data of multiple carbon sink targets and corresponding basic carbon content data; a determination module for determining a target model corresponding to the carbon sink target according to the target type of the carbon sink target; a first calculation module for calculating the carbon storage of the corresponding carbon sink target using the corresponding target model based on the carbon sink target data and the basic carbon content data; a second calculation module for combining the carbon storage of multiple carbon sink targets using the carbon sink model to calculate the total carbon storage. An analysis configuration module for performing sensitivity analysis based on the total carbon storage to configure the carbon sink target.

[0014] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor are communicatively connected to each other, computer instructions are stored in the memory, and the processor executes the carbon sink calculation method of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0015] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the carbon sink calculation method of the first aspect or any corresponding embodiment thereof.

[0016] In a fifth aspect, the present invention provides a computer program product, comprising computer instructions for causing a computer to execute the carbon sink calculation method of the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] 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.

[0018] Figure 1 is a process of a carbon sink calculation method according to an embodiment of the present invention;

[0019] Figure 2 is a flow chart of another carbon sink calculation method according to an embodiment of the present invention;

[0020] Figure 3 is a structural block diagram of a carbon sink calculation device according to an embodiment of the present invention;

[0021] Figure 4 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0023] According to an embodiment of the present invention, an embodiment of a carbon sink calculation method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0024] In this embodiment, a carbon sink calculation method is provided. Figure 1 is a flow chart of a carbon sink calculation method according to an embodiment of the present invention. It should be noted that if there are substantially the same results, this embodiment does not use Figure 1 The process sequence shown is limited. Figure 1 As shown, the process includes the following steps:

[0025] Step S101, acquiring a plurality of target data within a target spatial range and a target time range.

[0026] The target data includes carbon sink target data of multiple carbon sink targets and corresponding basic carbon content data.

[0027] Among them, carbon sink targets include biological targets and soil targets, and biological targets include above-ground biological targets, underground biological targets, etc.

[0028] Among them, the basic carbon content data includes the carbon content of each carbon sink target.

[0029] In one implementation, carbon sink targets include aboveground organisms, underground organisms, litter, and soil organic carbon, among others.

[0030] Obtain carbon sink target data for carbon sink targets. Specifically, collect the number of carbon sink targets of each tree species and age class within the target spatial range and target time range of biological targets. Such as the biomass of each part such as trunk, branch, leaf, and root. Collect data such as soil type, soil layer thickness, soil bulk density, and organic carbon content of soil targets within the target spatial range and target time range.

[0031] Obtain basic carbon content data corresponding to carbon sink targets. Specifically, collect carbon content data of each tree species and each part corresponding to biological targets to convert biomass into carbon storage. Collect other soil data corresponding to soil targets, such as litter decomposition rate, soil respiration rate, etc., to calculate the dynamic changes of carbon sinks, etc.

[0032] Step S102: determining a target model corresponding to the carbon sink target according to the target type of the carbon sink target.

[0033] The carbon sink target is classified and the target type of the carbon sink target is determined. It can be understood that for different carbon sink targets, the data factors that affect their carbon sink amount are different, and the methods of calculating carbon sink amount are also different. According to the target type of the carbon sink target, the target model for carbon accounting of the carbon sink target is determined.

[0034] Specifically, the carbon sink target data of the carbon sink target and the corresponding basic carbon content data are used to construct the corresponding target model. The target model can reflect the influence of each basic carbon content data on the carbon sink target.

[0035] In one implementation, the target types include biological targets and soil targets, and target models are established for the biological targets and soil targets respectively.

[0036] In another implementation, the target types include above-ground biological targets, underground biological targets and soil targets, and target models are established for the above-ground biological targets, underground biological targets and soil targets respectively.

[0037] For example, the target model for the soil target includes litter decomposition rate, soil respiration rate, etc., which are used to calculate information such as the dynamic changes of carbon sinks.

[0038] Step S103, based on the carbon sink target data and the basic carbon content data, the carbon storage of the corresponding carbon sink target is calculated using the corresponding target model.

[0039] The carbon storage is calculated using the corresponding target models for different carbon sink targets.

[0040] Step S104: using a carbon sink model to combine the carbon storage of multiple carbon sink targets to calculate the total carbon storage.

[0041] The carbon storage calculated by each target model is added together to obtain the total carbon storage within the target spatial range and target time range.

[0042] Step S105: Perform sensitivity analysis based on the total carbon stock to configure the carbon sink target.

[0043] Conduct sensitivity analysis on key parameters in the calculation process, evaluate the impact of parameter changes on the calculation results, and optimize the structural configuration of carbon sink targets based on the impact.

[0044] The carbon sink calculation method provided in this embodiment calculates the carbon storage of the corresponding carbon sink target based on the types of multiple carbon sink targets and the corresponding target models matched. The target model is used to calculate the carbon storage of the corresponding carbon sink target. The present application can perform carbon storage calculations according to different carbon sink targets, improve the accuracy of carbon storage calculations, and further combine the carbon storage of the spatial range and time range to obtain the total carbon storage, and configure the carbon sink target based on the total carbon storage, which can consolidate the carbon sink capacity of the ecosystem, consolidate the carbon sink increment of the ecosystem, and improve the carbon sink capacity.

[0045] In this embodiment, a carbon sink calculation method is provided, which can be used in the above-mentioned mobile terminals, such as mobile phones, tablet computers, etc. Figure 2 is a flow chart of another carbon sink calculation method according to an embodiment of the present invention. It should be noted that if there are substantially the same results, this embodiment does not use Figure 2 The process sequence shown is limited.

[0046] like Figure 2 As shown, the process includes the following steps:

[0047] Step S201, acquiring multiple target data within a target spatial range and a target time range.

[0048] The target data includes carbon sink target data of multiple carbon sink targets and corresponding basic carbon content data. The carbon sink targets include biological targets and soil targets.

[0049] Specifically, the above step S201 includes:

[0050] Step S2011, obtaining multiple carbon sink targets.

[0051] Obtain the carbon sink targets to be detected, where the carbon sink targets include aboveground biomass, underground biomass, litter, soil organic carbon, etc.

[0052] Step S2012: collecting target data of the carbon sink target in the target time period within the target space range.

[0053] Determine the target spatial scope and target time period.

[0054] The target spatial range includes the target region and the target climate. That is, the target spatial range is the specific boundary of the region. Specifically, the target spatial range also includes the information range of the region, the region, the season, the climate, the coordinates of the four solstices and the area.

[0055] The target time range includes the target time period. Specifically, the time period for carbon sink calculation is determined based on the research purpose and data availability.

[0056] Within the target spatial range and target time period, carbon sink target data and basic carbon content data for multiple carbon sink targets are collected.

[0057] Specifically, obtain the carbon sink target data of the carbon sink target. Collect the number of carbon sink targets of each tree species and age class within the target spatial range and target time range of the biological target. Such as the biomass of each part such as trunk, branch, leaf, root, etc. Collect the data of soil type, soil layer thickness, soil bulk density, organic carbon content, etc. of the soil target within the target spatial range and target time range.

[0058] Specifically, basic carbon content data corresponding to carbon sink targets are obtained. Carbon content data of each tree species and each part corresponding to biological targets are collected to convert biomass into carbon storage. Other soil data corresponding to soil targets are collected, such as litter decomposition rate, soil respiration rate, etc., which are used to calculate the dynamic changes of carbon sinks.

[0059] Step S202: determining a target model corresponding to the carbon sink target according to the target type of the carbon sink target.

[0060] Among them, target types include biological targets and soil targets.

[0061] In one implementation, the carbon sink objective is a biological objective.

[0062] Specifically, the above step S202 includes:

[0063] Step S2021, when the carbon sink target is a biological target, determine the biological target model corresponding to the biological target.

[0064] Among them, biological targets include above-ground biological targets and underground biological targets.

[0065] When the carbon sink target is determined to be an aboveground biological target, the aboveground biological target model corresponding to the aboveground biological target is determined; when the carbon sink target is determined to be an underground biological target, the underground biological target model corresponding to the underground biological target is determined.

[0066] In one implementation, the carbon sink target is a soil target.

[0067] Specifically, the above step S202 includes:

[0068] Step S2022: when the carbon sink target is a soil target, determine a soil target model corresponding to the soil target.

[0069] Step S203, based on the carbon sink target data and the basic carbon content data, the carbon storage of the corresponding carbon sink target is calculated using the corresponding target model.

[0070] The carbon storage is calculated using the corresponding target models for different carbon sink targets.

[0071] In one implementation, the carbon sink target is a biological target, and the biological target includes an above-ground biological target.

[0072] Specifically, the above step S203 includes:

[0073] Step S2031, based on the aboveground biological target data and the basic aboveground biological carbon content data, the aboveground biological target model is used to calculate the aboveground biological carbon storage of the aboveground biological target.

[0074] Determine the aboveground biological target quantity and the corresponding aboveground biological basic carbon content data of the aboveground biological target.

[0075] Specifically, there may be multiple aboveground biological targets, and the number of each aboveground biological target and the corresponding aboveground biological basic carbon content data are obtained respectively. The basic carbon content data includes tree species, diameter at breast height, tree height, timber volume, etc.

[0076] The aboveground biomass carbon stock was calculated based on the aboveground biomass target model.

[0077] In one implementation, there are three types of aboveground biological targets, and the aboveground biological target models are:

[0078]

[0079] Among them, C DSSW is the carbon storage of aboveground organisms, n is the number of species of the first aboveground organisms, D i is the number of the first terrestrial organism of the i-th species, P i is the basic biological carbon stock of the i-th first aboveground organism, m is the number of second aboveground organisms, E j is the number of the jth second-level organisms, Q jis the basic biological carbon stock of the jth second aboveground organism, s is the number of species of the third aboveground organism, F k is the number of the kth third terrestrial organism, R k is the basic biological carbon stock of the kth third aboveground organism.

[0080] In another implementation, there are four types of aboveground biological targets, and the aboveground biological target models are:

[0081]

[0082] Among them, r is the number of species of the fourth terrestrial organisms, G l is the number of the fourth terrestrial organism of the first kind, S l It is the basic biological carbon stock of the fourth above-ground organism.

[0083] In another implementation, there are more terrestrial biological targets, and more computational models of terrestrial organisms are added on the basis of the above implementation.

[0084] Exemplarily, the aboveground organism targets include trees, shrubs and aboveground ground cover. The first aboveground organism is a tree, the second aboveground organism is a shrub, and the third aboveground organism is an aboveground ground cover.

[0085] In one implementation, the carbon sink target is a biological target, and the biological target includes an underground biological target.

[0086] Specifically, the above step S203 includes:

[0087] Step S2032, based on the underground biological target data and the basic underground biological carbon content data, the underground biological target model is used to calculate the underground biological carbon reserves of the underground biological target.

[0088] Determine the underground biological target number and the corresponding underground biological basic carbon content data of the underground biological target. Calculate the underground biological carbon stock based on the underground biological target model.

[0089] In one implementation, the underground biological target model is:

[0090]

[0091] Among them, C DXSW is the underground biological carbon storage, n is the number of underground biological species, a i is the number of the ith underground organism per unit area, S i is the area of ​​the ith underground organism, T i is the basic biological carbon stock of the ith underground organism.

[0092] In one implementation, the carbon sink target is a soil target.

[0093] Specifically, the above step S203 includes:

[0094] Step S2033, based on the soil target data and the basic soil carbon content data, the underground biocarbon storage of the soil target is calculated using the soil target model.

[0095] Determine the soil target quantity and the corresponding soil basic carbon content data of the soil target. Calculate the soil carbon storage according to the soil target model.

[0096] In one implementation, the soil target model is:

[0097]

[0098] Among them, C TR is soil carbon storage, n is the type of soil target, ρ i is the carbon density of the i-th type of soil target, D i is the area of ​​the i-th type of soil target, H i is the thickness of the i-th type of soil target, U i is the bulk density of the i-th type of soil target.

[0099] Step S204: using a carbon sink model to combine the carbon storage of multiple carbon sink targets to calculate the total carbon storage.

[0100] The carbon sink model is used to accumulate the carbon storage of multiple carbon sink targets to obtain the total carbon storage.

[0101] In one implementation, the carbon sink model is:

[0102] C=C DSSW +C DXSW +C TR .

[0103] Step S205: Perform sensitivity analysis based on the total carbon stock to configure the carbon sink target.

[0104] Conduct sensitivity analysis on key parameters in the calculation process, evaluate the impact of parameter changes on the calculation results, and optimize the structural configuration of carbon sink targets based on the impact.

[0105] On the basis of obtaining the total carbon storage, the carbon storage results are analyzed.

[0106] In one implementation, a rationality analysis of the total carbon stock results is performed. The calculated results are rationally analyzed, and the possible reasons for the differences are compared with the actual observed values ​​or other research results.

[0107] In another implementation, a sensitivity analysis is performed. Specifically, a sensitivity analysis is performed on key parameters in the calculation process to evaluate the impact of parameter changes on the calculation results.

[0108] Specifically, based on the carbon sink target data and the total carbon sink amount, specifically, the impact of each carbon sink target data on the total carbon sink amount is analyzed; the carbon sink target data, the total carbon sink amount and the impact are visualized.

[0109] In another implementation, the results are applied and discussed. Specifically, based on the calculation results, the carbon sink capacity and its influencing factors in the calculation area are analyzed, and targeted management measures and suggestions are proposed. At the same time, the results are compared and discussed with similar studies to provide reference for carbon sink research at the regional or global scale.

[0110] On this basis, improvement measures are proposed for the biological and soil conditions in the area.

[0111] In one implementation, the tree species structure configuration is optimized. Specifically, high carbon fixation tree species are selected, with priority given to tree species with fast growth and strong carbon fixation capacity, such as pine and fir; mixed forests are rationally configured, and stable and efficient mixed forests are formed through the rational configuration of different tree species and different age classes to improve the overall carbon fixation capacity; multi-layer forest stands are created to fully utilize spatial resources, and multi-layer forest stands combining trees, shrubs and grasses are created to increase carbon storage per unit area.

[0112] In one implementation method, the management level is strengthened. Specifically, precise fertilization management is carried out according to the soil conditions of the forest land and the needs of tree species to improve the soil carbon sequestration capacity; pest and disease control is strengthened to reduce the decline in tree growth and carbon sequestration loss caused by pests and diseases; felling and renewal management is carried out to reasonably formulate felling and renewal plans to ensure timely renewal after felling and maintain the continuous carbon sequestration capacity of the forest land.

[0113] In one implementation, energy-saving and emission-reduction technologies are used. Specifically, energy-saving tending technologies, such as electric pruning shears and energy-saving irrigation, are used to reduce energy consumption during tending; waste utilization technologies, such as making biomass fuels and producing composite materials, are used to reasonably utilize waste generated during tending and felling to reduce carbon emissions; low-carbon transportation methods, such as electric vehicles and bicycles, are used to give priority to low-carbon and environmentally friendly transportation methods to reduce carbon emissions during transportation.

[0114] The carbon sink calculation method provided in this embodiment is based on the types of multiple carbon sink targets and the corresponding target model, and the target model is used to calculate the carbon storage of the corresponding carbon sink target. The present application can perform carbon storage calculations according to different carbon sink targets, improve the accuracy of carbon storage calculations, and further combine the carbon storage of the spatial range and time range to obtain the total carbon storage, and configure the carbon sink target according to the total carbon storage, which can consolidate the carbon sink capacity of the ecosystem, consolidate the carbon sink increment of the ecosystem, and improve the carbon sink capacity. At the same time, the model of carbon accounting for aboveground organisms, underground organisms and soil proposed in this application improves the accuracy of carbon accounting.

[0115] In this embodiment, a carbon sink calculation device is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0116] This embodiment provides a carbon sink calculation device, see Figure 3 , Figure 3 is a structural block diagram of a carbon sink calculation device according to an embodiment of the present invention. Figure 3 As shown, including:

[0117] The acquisition module 301 is used to acquire multiple target data within a target spatial range and a target time range, wherein the target data includes carbon sink target data of multiple carbon sink targets and corresponding basic carbon content data.

[0118] The determination module 302 is used to determine the target model corresponding to the carbon sink target according to the target type of the carbon sink target.

[0119] The first calculation module 303 is used to calculate the carbon storage of the corresponding carbon sink target respectively based on the carbon sink target data and the basic carbon content data using the corresponding target model.

[0120] The second calculation module 304 is used to combine the carbon storage of multiple carbon sink targets using a carbon sink model to calculate the total carbon storage.

[0121] The analysis configuration module 305 is used to perform sensitivity analysis based on the total carbon stock to configure the carbon sink target.

[0122] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0123] The carbon sink calculation device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0124] The embodiment of the present invention also provides a computer device having the above Figure 3 The carbon sink calculation device shown.

[0125] See also Figure 4 , Figure 4 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 4 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 4 A processor 10 is taken as an example.

[0126] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0127] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0128] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0129] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0130] The computer device also includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Figure 4 The example of connecting through bus is taken in the following.

[0131] The input device 30 can receive input digital or character information, and generate key signal input related to the user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator bar, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0132] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0133] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0134] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A carbon sink calculation method, characterized in that: The method comprises: Acquire multiple target data within a target spatial range and a target time range, wherein the target data includes carbon sink target data of multiple carbon sink targets and corresponding basic carbon content data; Determining a target model corresponding to the carbon sink target according to the target type of the carbon sink target; Based on the carbon sink target data and the basic carbon content data, using the corresponding target model to respectively calculate the carbon storage corresponding to the carbon sink target; The carbon storage of the plurality of carbon sink targets is combined by using a carbon sink model to calculate the total carbon storage; A sensitivity analysis is performed based on the total carbon stock to configure the carbon sink target.

2. The carbon sink calculation method according to claim 1, characterized in that: The target spatial range includes a target area and a target climate, the target time range includes a target time period, and acquiring a plurality of target data within the target spatial range and the target time range includes: obtaining a plurality of the carbon sink targets; The target data of the carbon sink target in the target time period is collected within the target spatial range.

3. The carbon sink calculation method according to claim 1, characterized in that: The carbon sink target includes a biological target and a soil target. The determining of the target model corresponding to the carbon sink target according to the target type of the carbon sink target includes: When the carbon sink target is a biological target, determining a biological target model corresponding to the biological target; when the carbon sink target is a soil target, determining a soil target model corresponding to the soil target; The step of calculating the carbon storage corresponding to the carbon sink target based on the carbon sink target data and the basic carbon content data using the corresponding target model comprises: Based on the biological target data and the basic biological carbon content data, the biological carbon stock of the biological target is calculated using the biological target model; Based on the soil target data and the basic soil carbon content data, the soil carbon storage of the soil target is calculated using the soil target model.

4. The carbon sink calculation method according to claim 3, characterized in that: The biological target includes an above-ground biological target, and the biological carbon storage of the biological target is calculated by using the biological target model based on the biological target data and the basic biological carbon content data, including: Among them, the C DSSW is the carbon storage of aboveground organisms, n is the number of species of the first aboveground organisms, and D i is the number of the first terrestrial organism of the i-th species, the P i is the basic biological carbon stock of the i-th species of the first aboveground organism, m is the number of species of the second aboveground organism, and E j is the number of the jth species of the second terrestrial organism, the Q j is the basic biological carbon stock of the jth type of the second aboveground organism, s is the number of species of the third aboveground organism, and F k is the number of the kth third terrestrial organism, and R k is the basic biological carbon stock of the kth third above-ground organism.

5. The carbon sink calculation method according to claim 3, characterized in that: The biological target includes an underground biological target, and the biological carbon reserve of the biological target is calculated by using the biological target model based on the biological target data and the basic biological carbon content data, including: Among them, the C DXSW is the underground biological carbon stock, n is the number of underground biological species, and a i is the number of the i-th underground organism per unit area, and the S i is the area of ​​the i-th underground organism, and T i is the basic biological carbon stock of the i-th underground organism.

6. The carbon sink calculation method according to claim 3, characterized in that: The step of calculating the soil carbon storage of the soil target using the soil target model based on the soil target data and the basic soil carbon content data includes: Among them, the C TR is the soil carbon storage, n is the type of soil target, and ρ i is the carbon density of the soil target of the i-th category, the S i is the area of ​​the soil target of the i-th type, the H i is the thickness of the soil target of type i, the U i is the bulk density of the soil target of type i.

7. The carbon sink calculation method according to claim 1, characterized in that: The sensitivity analysis based on the total carbon stock to configure the carbon sink target includes: Based on the carbon sink target data and the total carbon sink amount, analyzing the influence of each carbon sink target data on the total carbon sink amount; The carbon sink target is configured according to the impact, and the carbon sink target data, the total carbon sink amount and the impact are visualized.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the carbon sink calculation method according to any one of claims 1 to 7 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the carbon sink calculation method according to any one of claims 1 to 7.

10. A computer program product, characterized in that The method comprises computer instructions for causing a computer to execute the carbon sink calculation method according to any one of claims 1 to 7.

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