Method and device for monitoring carbon dioxide leakage flux in carbon dioxide sequestration area

Abstract

The invention provides a method and device for monitoring carbon dioxide leakage flux in a carbon dioxide sequestration region, and the method comprises the steps: obtaining vegetation growth indexes and environment data of different monitoring regions in the carbon dioxide sequestration region; determining a target area in the monitoring area based on the vegetation growth index and the environmental data; determining a target carbon dioxide concentration of the target area based on the vegetation growth index of the target area; and determining the carbon dioxide leakage flux of the target area based on the vegetation growth index of the target area and the target carbon dioxide concentration. According to the technical scheme, the carbon dioxide leakage flux in the carbon dioxide sequestration area can be monitored.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of carbon dioxide storage, and particularly relates to a method for monitoring carbon dioxide leakage flux in a carbon dioxide storage area and a device thereof. BACKGROUND

[0002] With the intensification of global climate change, carbon dioxide storage technology has been widely concerned as an effective means of mitigating greenhouse gas emissions. However, effective monitoring of carbon dioxide storage areas is crucial to ensure storage effectiveness and timely detection of leakage problems. Traditional monitoring methods rely on ground stations or manual inspections, which are high in labor costs. SUMMARY

[0003] The present application aims to at least partially solve one of the technical problems in the related art.

[0004] In a first aspect, the present application provides a method for monitoring carbon dioxide leakage flux in a carbon dioxide storage area, the method comprising: obtaining vegetation growth indicators and environmental data of different monitoring areas in the carbon dioxide storage area; determining a target area in the monitoring areas based on the vegetation growth indicators and the environmental data; determining a target carbon dioxide concentration of the target area based on the vegetation growth indicators of the target area; and determining a carbon dioxide leakage flux of the target area based on the vegetation growth indicators of the target area and the target carbon dioxide concentration.

[0005] In an implementation manner, the determining of the target area in the monitoring areas based on the vegetation growth indicators and the environmental data comprises: obtaining a mean value of vegetation growth indicators based on the vegetation growth indicators of each monitoring area; obtaining a mean value of environmental data based on the environmental data of each monitoring area; and comparing the vegetation growth indicators and the environmental data of each monitoring area with the mean value of vegetation growth indicators and the mean value of environmental data to determine the target area in the monitoring areas.

[0006] In an implementation manner, the determining of the carbon dioxide leakage flux of the target area based on the vegetation growth indicators of the target area and the target carbon dioxide concentration comprises: determining a vegetation change pattern of the target area based on the vegetation growth indicators of the target area; obtaining a corresponding target diffusion model based on the vegetation change pattern, and determining the carbon dioxide leakage flux of the target area based on the diffusion model and the target carbon dioxide concentration.

[0007] In an optional implementation, the obtaining of the target diffusion model based on the vegetation change pattern and the determination of the carbon dioxide leakage flux of the target region based on the diffusion model and the target carbon dioxide concentration comprise: in response to the vegetation change pattern being a gradient attenuation type, determining that the target diffusion model is a Gaussian diffusion model; and obtaining the carbon dioxide leakage flux based on the Gaussian diffusion model and the target carbon dioxide concentration.

[0008] In an optional implementation, the obtaining of the target diffusion model based on the vegetation change pattern and the determination of the carbon dioxide leakage flux of the target region based on the diffusion model and the target carbon dioxide concentration comprise: in response to the vegetation change pattern being a regional uniform promotion type, determining that the target diffusion model is a soil gas diffusion model; and obtaining the carbon dioxide leakage flux based on the soil gas diffusion model and the target carbon dioxide concentration.

[0009] In an implementation, the vegetation growth index comprises at least one of the following: a normalized difference vegetation index; an enhanced vegetation index; a leaf chlorophyll index.

[0010] In a second aspect, the present application provides a device for monitoring a carbon dioxide leakage flux of a carbon dioxide storage area, the device comprising: an obtaining module configured to obtain vegetation growth indexes and environmental data of different monitoring regions in the carbon dioxide storage area; a first processing module configured to determine a target region in the monitoring regions based on the vegetation growth indexes and the environmental data; a second processing module configured to determine a target carbon dioxide concentration of the target region based on the vegetation growth index of the target region; and a third processing module configured to determine a carbon dioxide leakage flux of the target region based on the vegetation growth index of the target region and the target carbon dioxide concentration.

[0011] In an implementation, the first processing module can be configured to: obtain a mean value of the vegetation growth indexes based on the vegetation growth indexes of the monitoring regions; obtain a mean value of the environmental data based on the environmental data of the monitoring regions; and compare the vegetation growth index and the environmental data of each of the monitoring regions with the mean value of the vegetation growth indexes and the mean value of the environmental data to determine the target region in the monitoring regions.

[0012] In an implementation, the third processing module can be configured to: determine a vegetation change pattern of the target region based on the vegetation growth index of the target region; obtain a target diffusion model based on the vegetation change pattern, and determine a carbon dioxide leakage flux of the target region based on the diffusion model and the target carbon dioxide concentration.

[0013] In an optional implementation, the third processing module can be configured to: in response to the vegetation change pattern being a gradient attenuation type, determine the target diffusion model as a Gaussian diffusion model; and obtain the carbon dioxide leakage flux based on the Gaussian diffusion model and the target carbon dioxide concentration.

[0014] In an optional implementation, the third processing module can be configured to: in response to the vegetation change pattern being a regional uniform promotion type, determine the target diffusion model as a soil gas diffusion model; and obtain the carbon dioxide leakage flux based on the soil gas diffusion model and the target carbon dioxide concentration.

[0015] In an implementation, the vegetation growth index includes at least one of the following: a normalized difference vegetation index; an enhanced vegetation index; a leaf chlorophyll index.

[0016] In a third aspect, the present application provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method for monitoring carbon dioxide leakage flux in a carbon dioxide storage area according to the first aspect.

[0017] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, which when executed, cause the method according to the first aspect to be implemented.

[0018] In a fifth aspect, the present application provides a computer program product comprising a computer program, which when executed by a processor, implements the steps of the method for monitoring carbon dioxide leakage flux in a carbon dioxide storage area according to the first aspect.

[0019] The method, device, equipment and storage medium for monitoring carbon dioxide leakage flux in a carbon dioxide storage area provided by the present application can determine a target area where carbon dioxide leakage is likely to occur based on vegetation growth indexes and environmental data of the ground surface of the carbon dioxide storage area, determine a target carbon dioxide concentration of the soil of the target area according to the vegetation growth indexes of the target area, and perform gas diffusion inversion according to the target carbon dioxide concentration to determine the carbon dioxide leakage flux. The leakage in the carbon dioxide storage area can be monitored.

[0020] Additional aspects and advantages of the present application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0021] The above and / or additional aspects and advantages of the present application will become apparent and more readily appreciated from the following description, taken in conjunction with the following drawings of exemplary embodiments of the present application, wherein:

[0022] Figure 1 is a flowchart of a method for monitoring carbon dioxide leakage flux in a carbon dioxide storage area according to an embodiment of the present application;

[0023] Figure 2 is a flowchart of another method for monitoring carbon dioxide leakage flux in a carbon dioxide storage area according to an embodiment of the present application;

[0024] Figure 3 is a structural diagram of a device for monitoring carbon dioxide leakage flux in a carbon dioxide storage area according to an embodiment of the present application;

[0025] Figure 4 is a structural diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] Embodiments of the present application are described in detail below with reference to the accompanying drawings, in which like or similar elements are denoted by the same or similar reference numerals, and the embodiments described below are examples for explaining the present application and should not be construed as limiting the present application.

[0027] A method and device for monitoring carbon dioxide leakage flux in a carbon dioxide storage area according to an embodiment of the present application are described below with reference to the accompanying drawings.

[0028] Figure 1 is a flowchart of a method for monitoring carbon dioxide leakage flux in a carbon dioxide storage area according to an embodiment of the present application. As shown in Figure 1 , the method can include but is not limited to the following steps:

[0029] S101: Obtain vegetation growth indicators and environmental data in different monitoring areas in the carbon dioxide storage area.

[0030] In the embodiments of the present application, the target vegetation growth indicators include at least one of the following: normalized difference vegetation index (NDVI); enhanced vegetation index (EVI); leaf chlorophyll index (LCI).

[0031] In the embodiments of the present application, the environmental data includes at least one of the following: near-surface atmospheric CO2 concentration, soil temperature, humidity, pH.

[0032] Exemplarily, the carbon dioxide storage area is divided into multiple monitoring areas in advance, image data of the ground surface of the carbon dioxide storage area is acquired by a UAV or a satellite, and the image data is analyzed and processed to obtain the vegetation growth index of each monitoring area.

[0033] S102: determining a target area in the monitoring area based on the vegetation growth index and the environmental data.

[0034] Exemplarily, based on the vegetation growth index of each monitoring area of the carbon dioxide storage area, a candidate monitoring area in which the vegetation growth index is abnormal compared with adjacent monitoring areas is determined, and if the environmental data of the candidate monitoring area is not significantly different from the environmental data of the adjacent monitoring areas, the candidate monitoring area is determined as the target area.

[0035] In an implementation manner, the above determining the target area in the monitoring area based on the vegetation growth index and the environmental data can include the following steps S1021-S1023:

[0036] S1021: obtaining a mean value of the vegetation growth index based on the vegetation growth index of each monitoring area.

[0037] Exemplarily, the vegetation growth index of each monitoring area is processed by mean value to obtain the mean value of the vegetation growth index.

[0038] S1022: obtaining a mean value of the environmental data based on the environmental data of each monitoring area.

[0039] Exemplarily, the environmental data of each monitoring area is processed by mean value to obtain the mean value of the environmental data.

[0040] S1023: comparing the vegetation growth index and the environmental data corresponding to each monitoring area with the mean value of the vegetation growth index and the mean value of the environmental data to determine the target area in the multiple monitoring areas.

[0041] Exemplarily, for each monitoring area, a first difference value between the index growth index and the mean value of the vegetation growth index of the monitoring area and a second difference value between the environmental data of the monitoring area and the mean value of the environmental data are obtained, and if the first difference value is greater than or equal to a first threshold value and the second difference value is greater than or equal to a second threshold value, the monitoring area is determined as the target area.

[0042] Step S103: determining a target carbon dioxide concentration of the target area based on the vegetation growth index of the target area.

[0043] Exemplarily, the correlation between the vegetation growth index and the soil carbon dioxide concentration is established in advance through field monitoring and control experiments, so as to determine the target carbon dioxide concentration of the soil in the target region based on the target vegetation growth index of the target region and the correlation.

[0044] Step S104: determining the carbon dioxide leakage flux of the target region based on the vegetation growth index and the target carbon dioxide concentration of the target region.

[0045] Exemplarily, the gas diffusion calculation is performed based on the target carbon dioxide concentration of the target vegetation growth region and a preset gas diffusion model, so as to determine the carbon dioxide leakage flux of the target region.

[0046] By implementing the embodiments of the present application, the target region in which carbon dioxide leakage is likely to occur can be determined based on the vegetation growth index and the environmental data of the surface of the carbon dioxide storage region, the target carbon dioxide concentration of the soil in the target region can be determined according to the vegetation growth index of the target region, and the carbon dioxide leakage flux can be determined according to the gas diffusion inversion based on the target carbon dioxide concentration. The leakage monitoring of the carbon dioxide storage region can be realized.

[0047] In some embodiments, a suitable gas diffusion model can be selected according to the vegetation change in the target region. As an example, please refer to Figure 2 , Figure 2 is another flowchart of a method for monitoring the carbon dioxide leakage flux of the carbon dioxide storage region provided by the embodiments of the present application. As shown in Figure 2 , the method can include but is not limited to the following steps:

[0048] Step S201: obtaining the vegetation growth index and the environmental data of different monitoring regions in the carbon dioxide storage region.

[0049] In the embodiments of the present application, step S201 can be implemented by any one of the embodiments of the present application, and the embodiments of the present application do not limit this and will not be repeated.

[0050] Step S202: determining a target region in the monitoring region based on the vegetation growth index and the environmental data.

[0051] In the embodiments of the present application, step S202 can be implemented by any one of the embodiments of the present application, and the embodiments of the present application do not limit this and will not be repeated.

[0052] Step S203: determining the target carbon dioxide concentration of the target region based on the vegetation growth index of the target region.

[0053] In the embodiments of the present application, step S203 can be implemented in any of the embodiments of the present application, and the embodiments of the present application do not limit this and will not be repeated here.

[0054] Step S204: determining a vegetation change mode of the target region based on the vegetation growth index of the target region.

[0055] In the embodiments of the present application, the vegetation change mode includes at least one of the following: gradient attenuation type and regional uniform promotion type.

[0056] It should be noted that the gradient attenuation type refers to the vegetation change mode under the point source carbon dioxide leakage, and the vegetation growth index is restored in a step-by-step manner as the distance from the leakage point increases. The regional uniform promotion type refers to the vegetation change mode under the surface source carbon dioxide leakage, and is characterized by consistent improvement of a large range of vegetation growth index.

[0057] Step S205: obtaining a corresponding target diffusion model based on the vegetation change mode, and determining the carbon dioxide leakage flux of the target region based on the diffusion model and the target carbon dioxide concentration.

[0058] In one implementation, in response to the vegetation change mode being the gradient attenuation type, the target diffusion model is determined to be a Gaussian diffusion model; and the carbon dioxide leakage flux is obtained based on the Gaussian diffusion model and the target carbon dioxide concentration.

[0059] Exemplarily, the Gaussian diffusion model can be expressed as follows:

[0060]

[0061] Wherein, Q is the leakage flux, C is the carbon dioxide concentration at any position of the monitoring region downwind, μ is the average wind speed, σ y and σ z are diffusion parameters in the horizontal direction and the vertical direction respectively, and K is a calculation coefficient.

[0062] In one implementation, in response to the vegetation change mode being the regional uniform promotion type, the target diffusion model is determined to be a soil gas diffusion model; and the carbon dioxide leakage flux is obtained based on the soil gas diffusion model and the target carbon dioxide concentration.

[0063] Exemplarily, the soil gas diffusion model can be expressed as follows:

[0064]

[0065] Wherein, Q is the leakage flux, D is the diffusion coefficient of carbon dioxide in soil, and dc / dx is the concentration gradient of carbon dioxide.

[0066] By implementing the embodiments of the present application, the vegetation change model can be determined according to the vegetation growth index in the target region, a suitable gas diffusion model can be selected according to the vegetation change model, and the carbon dioxide leakage flux of the target region can be determined according to the selected gas diffusion model and the target carbon dioxide concentration. The carbon dioxide gas flux monitoring of the carbon dioxide storage area can be realized.

[0067] Please refer to Figure 3 , Figure 3 is a structural schematic diagram of a carbon dioxide leakage flux monitoring device of a carbon dioxide storage area provided by the embodiments of the present application. As Figure 3 shown, the device 300 comprises: an acquisition module 301 configured to acquire vegetation growth indexes and environmental data of different monitoring regions in a carbon dioxide storage area; a first processing module 302 configured to determine a target region in the monitoring regions based on the vegetation growth indexes and the environmental data; a second processing module 303 configured to determine a target carbon dioxide concentration of the target region based on the vegetation growth index of the target region; and a third processing module 304 configured to determine a carbon dioxide leakage flux of the target region based on the vegetation growth index and the target carbon dioxide concentration of the target region.

[0068] In an implementation manner, the first processing module 302 can be configured to: acquire a mean value of the vegetation growth indexes based on the vegetation growth indexes of the monitoring regions; acquire a mean value of the environmental data based on the environmental data of the monitoring regions; and compare the vegetation growth indexes and the environmental data of the monitoring regions with the mean values of the vegetation growth indexes and the environmental data, to determine the target region in the monitoring regions.

[0069] In an implementation manner, the third processing module 304 can be configured to: determine a vegetation change mode of the target region based on the vegetation growth index of the target region; acquire a corresponding target diffusion model based on the vegetation change mode, and determine the carbon dioxide leakage flux of the target region based on the diffusion model and the target carbon dioxide concentration.

[0070] In an optional implementation manner, the third processing module 304 can be configured to: determine that the target diffusion model is a Gaussian diffusion model in response to the vegetation change mode being a gradient attenuation type; and acquire the carbon dioxide leakage flux based on the Gaussian diffusion model and the target carbon dioxide concentration.

[0071] In an optional implementation manner, the third processing module 304 can be configured to: determine that the target diffusion model is a soil gas diffusion model in response to the vegetation change mode being a regional uniform promotion type; and acquire the carbon dioxide leakage flux based on the soil gas diffusion model and the target carbon dioxide concentration.

[0072] In an implementation manner, the vegetation growth index comprises at least one of the following: a normalized vegetation index; an enhanced vegetation index; and a leaf chlorophyll index.

[0073] Through the device of the embodiment of the present application, the target area where carbon dioxide leakage is likely to occur can be determined based on the vegetation growth index and environmental data of the surface of the carbon dioxide storage area, the target carbon dioxide concentration of the soil of the target area can be determined according to the vegetation growth index of the target area, and the carbon dioxide leakage flux can be determined according to the gas diffusion inversion according to the target carbon dioxide concentration. The leakage monitoring of the carbon dioxide storage area can be realized.

[0074] It should be noted that the above-mentioned explanation of the embodiment of the method for monitoring the carbon dioxide leakage flux of the carbon dioxide storage area is also applicable to the device for monitoring the carbon dioxide leakage flux of the carbon dioxide storage area of the embodiment, which will not be repeated here.

[0075] In order to realize the above-mentioned embodiment, the present application further provides an electronic device. Please refer to Figure 4 , Figure 4 is a structural schematic diagram of the electronic device provided by the embodiment of the present application. As shown in Figure 4 , the electronic device 400 comprises a processor 401 and a memory 402 connected with the processor 401; the memory 402 stores computer execution instructions; the processor 401 executes the computer execution instructions stored in the memory to realize the method provided by the above-mentioned embodiment.

[0076] In order to realize the above-mentioned embodiment, the present application further provides a computer readable storage medium, wherein the computer readable storage medium stores computer execution instructions, and the computer execution instructions are executed by the processor to realize the method provided by the above-mentioned embodiment.

[0077] In order to realize the above-mentioned embodiment, the present application further provides a computer program product, comprising a computer program, which is executed by the processor to realize the method provided by the above-mentioned embodiment.

[0078] It should be noted that the acquisition, transmission, storage, use, processing and the like of data in the technical solution of the present application comply with the relevant provisions of national laws and regulations, and do not violate public order and good customs.

[0079] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data for analysis, stored data, displayed data, etc.) and signals involved in the present application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of related data need to comply with relevant national and regional laws, regulations and standards.

[0080] It is worth noting that in the embodiments of the present application, some software, components, models, etc. of the prior art may be mentioned, which should be considered as exemplary, and the purpose is only to illustrate the feasibility of the implementation of the technical solutions of the present application, but it does not mean that the applicant has or will necessarily use the scheme.

[0081] In the description of the present application, unless otherwise specified, " / " means or, for example, A / B can mean A or B; "and / or" herein only describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can mean that A exists alone, A and B exist together, and B exists alone.

[0082] In the foregoing embodiment description, the description of the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. In addition, those skilled in the art can combine and combine the different embodiments or examples described in the specification and the features of the different embodiments or examples without contradiction.

[0083] In addition, the terms "first", "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "multiple" is at least two, for example, two, three, etc., unless otherwise specifically limited.

[0084] Any process or method descriptions in flow charts or otherwise described herein can be understood as representing code modules, segments, or portions of code that include one or more executable instructions for implementing the specified logic functions or processes, and the scope of the preferred embodiments of the present application includes additional implementation in which the functions described are performed in a different order, including substantially simultaneously, or in reverse order, or in an order that is different from the order shown or discussed, including as an outcome of the functions being performed in a substantially simultaneous manner or in reverse order, as will be understood by those skilled in the art of the technology to which the embodiments of the present application belong.

[0085] The logic and / or steps represented in the flowcharts and / or described herein, for example, can be considered as a sequence of executable instructions stored in a computer readable medium, which can be executed by an instruction execution system, apparatus or device, such as a computer-based system, a processor-based system, or other system that can fetch the instructions from the instruction execution system, apparatus or device and execute the instructions, or a combination thereof. For the purposes of this specification, a "computer readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus or device. The computer readable medium can specifically be, but is not limited to, the following: an electronic connection (electronic apparatus) having one or more wires, a portable computer diskette (magnetic apparatus), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disk read-only memory (CDROM). In addition, the computer readable medium can even be paper or other suitable medium upon which the program can be printed, because the program can be electronically obtained, for example, by optically scanning the paper or other medium, then

[0086] It should be understood that portions of the application can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As such, if implemented in hardware, and in another embodiment, any of the following technologies, known in the art, or a combination thereof, can be used: discrete logic circuitry having logic gates for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), and the like.

[0087] Those of ordinary skill in the art can understand that all or part of the steps carried out by the above-mentioned embodiment methods can be completed by programs instructing relevant hardware, and the programs can be stored in a computer readable storage medium. When the programs are executed, they include one of the steps of the method embodiments or a combination thereof.

[0088] In addition, each of the functional units in the various embodiments of the present application can be integrated in one processing module, or each of the units can be physically present separately, or two or more units can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of a software functional module. When the integrated module is realized in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0089] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A method of monitoring carbon dioxide leakage flux in a carbon dioxide storage region, characterized by, The method comprises: obtaining vegetation growth indicators and environmental data of different monitoring areas in a carbon dioxide storage area; determining a target area in the monitoring areas based on the vegetation growth indicators and the environmental data; determining a target carbon dioxide concentration of the target area based on the vegetation growth indicators of the target area; determining a carbon dioxide leakage flux of the target area based on the vegetation growth indicators and the target carbon dioxide concentration of the target area.

2. The method of claim 1, wherein, The method of determining a target area in the monitoring areas based on the vegetation growth indicators and the environmental data comprises: obtaining a mean value of vegetation growth indicators based on the vegetation growth indicators of each monitoring area; obtaining a mean value of environmental data based on the environmental data of each monitoring area; comparing the vegetation growth indicators and the environmental data of each monitoring area with the mean value of vegetation growth indicators and the mean value of environmental data to determine the target area in the monitoring areas.

3. The method of claim 1, wherein, The method of determining a carbon dioxide leakage flux of the target area based on the vegetation growth indicators and the target carbon dioxide concentration of the target area comprises: determining a vegetation change pattern of the target area based on the vegetation growth indicators of the target area; obtaining a corresponding target diffusion model based on the vegetation change pattern, and determining the carbon dioxide leakage flux of the target area based on the diffusion model and the target carbon dioxide concentration.

4. The method of claim 3, wherein, The method of obtaining a corresponding target diffusion model based on the vegetation change pattern, and determining the carbon dioxide leakage flux of the target area based on the diffusion model and the target carbon dioxide concentration comprises: in response to the vegetation change pattern being a gradient attenuation type, determining that the target diffusion model is a Gaussian diffusion model; obtaining the carbon dioxide leakage flux based on the Gaussian diffusion model and the target carbon dioxide concentration.

5. The method of claim 3, wherein, The method of obtaining a corresponding target diffusion model based on the vegetation change pattern, and determining the carbon dioxide leakage flux of the target area based on the diffusion model and the target carbon dioxide concentration comprises: in response to the vegetation change pattern being a regional uniform type, determining that the target diffusion model is a soil gas diffusion model; obtaining the carbon dioxide leakage flux based on the soil gas diffusion model and the target carbon dioxide concentration.

6. The method according to any one of claims 1 to 5, characterized in that, The vegetation growth indicators comprise at least one of: a normalized vegetation index; an enhanced vegetation index; a leaf chlorophyll index.

7. A device for monitoring carbon dioxide leakage flux in a carbon dioxide storage region, characterized by, The method comprises: an obtaining module configured to obtain vegetation growth indicators and environmental data of different monitoring areas in a carbon dioxide storage area; a first processing module configured to determine a target area in the monitoring areas based on the vegetation growth indicators and the environmental data; a second processing module configured to determine a target carbon dioxide concentration of the target area based on the vegetation growth indicators of the target area; a third processing module configured to determine a carbon dioxide leakage flux of the target area based on the vegetation growth indicators and the target carbon dioxide concentration of the target area.

8. An electronic device, comprising: The method comprises: a processor, and a memory connected to the processor in communication; the memory stores computer execution instructions; The processor executes computer-executed instructions stored in the memory to implement the method of any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executed instructions, which, when executed by a processor, implement the method of any one of claims 1-6.

10. A computer program product, characterised in that, A computer program, which, when executed by a processor, implements the method of any one of claims 1-6.

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