System, information processing method, and storage medium

Abstract

To appropriately predict a future carbon fixation amount when a CDR technique is applied to a certain place, and to grasp the effect amount.SOLUTION: A carbon fixation prediction system is realized by a user terminal and a server device. The system includes a location information setting unit that sets location information, a technique setting unit that sets at least one CO2 removing technique as a CO2 removing technique to be applied to a location, a first calculating unit that calculates a predicted value of carbon fixation when the at least one CO2 removing technique is applied at the location indicated by the location information, and a presenting unit that presents the predicted value to a user. The location information setting unit sets the location information, and the technique setting unit sets the at least one CO2 removing technique as the CO2 removing technique to be applied to the location.SELECTED DRAWING: Figure 5

Description

[Technical Field]

[0001] The present disclosure relates to a system, an information processing method, and a program. [Background technology]

[0002] Patent Document 1 describes a system that uses an open national land model to predict surface water and groundwater flow conditions. It states that this open national land model is created by incorporating three-dimensional spatial information using a Geographic Information System (GIS) and geographic information including topography, geology, and ecosystems into a 3D blank map that subdivides Japan's land area into a three-dimensional mesh.

[0003] Non-Patent Document 1 discloses a model for assessing exposure to chemical substances in river basins and evaluating countermeasures. The model described in Non-Patent Document 1 is a model that estimates river flow rate, river water concentration, and river bottom sediment concentration in 1-km mesh units by inputting meteorological data, the amount of chemical substance emissions, and basic physical properties (molecular weight, vapor pressure, water solubility, Koc, half-life). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2011-13753 [Non-patent literature]

[0005] [Non-Patent Document 1] "AIST-SHANEL Ver.3.0, AIST-Aquatic Exposure Analysis Model," [Retrieved June 18, 2024], Internet<URL:https: / / riss.aist.go.jp / shanel / > Summary of the Invention [Problem to be solved by the invention]

[0006] In recent years, as the need to curb global warming has become urgent, the idea of ​​net zero carbon, which means that the total amount of greenhouse gas emissions minus the amount absorbed is zero, is attracting attention. A system for trading greenhouse gas absorption as carbon credits is also being considered, and there are great benefits for not only companies and local governments but also individuals working in agriculture, forestry, and fisheries, etc. to participate in CDR (Carbon Dioxide Removal) efforts to remove CO2.

[0007] CDR technologies include engineering-based technologies such as BECCS (Bioenergy with Carbon Capture and Storage) and nature-based technologies such as afforestation, soil carbon sequestration, and biochar. Nature-based technologies are considered promising due to their enormous scalability and sustainability. The effectiveness of nature-based CDR technologies varies depending on the type of technology. Even for the same technology, the effectiveness varies depending on the location where it is applied, the surrounding environment, and the interactions between these elements. For example, a technology that is expected to achieve a large amount of carbon fixation in one location may not achieve as much in another, making it difficult to determine which CDR technology to apply to which location. Given this situation, a system that can accurately predict the amount of carbon fixation at each location is needed. The models disclosed in Patent Document 1 and Non-Patent Document 1 are not capable of predicting carbon fixation.

[0008] The present disclosure has been made in light of the above-mentioned problems. That is, the purpose of the present disclosure is to accurately predict the future amount of carbon fixation when CDR technology is applied to a certain location and to understand the effect. [Means for solving the problem]

[0009] A system according to an embodiment of the present disclosure is a carbon fixation prediction system implemented by a user terminal and a server device communicatively connected to the user terminal, the carbon fixation prediction system including: a storage unit configured to store a carbon cycle model for predicting the circulation of chemical substances containing carbon atoms in a specified watershed or body of water and input parameters corresponding to each of a plurality of CO2 removal methods; a location information setting unit configured to set location information related to a location based on a user input on the user terminal; a method setting unit configured to set at least one CO2 removal method from the plurality of CO2 removal methods as a CO2 removal method to be applied to the location based on the user input on the user terminal; a first calculation unit configured to calculate a predicted value of the carbon fixation amount when the at least one CO2 removal method is applied to the location indicated by the location information based on the carbon cycle model, the set location information, and the input parameters corresponding to the set CO2 removal method; and a presentation unit configured to present the predicted value to the user on the user terminal.

[0010] An information processing method according to an embodiment of the present disclosure is an information processing method executed in a carbon fixation amount prediction system implemented by a user terminal and a server device communicatively connected to the user terminal, the information processing method including the steps of: storing a carbon cycle model for predicting the circulation of chemical substances containing carbon atoms in a predetermined watershed or body of water and input parameters corresponding to each of a plurality of CO2 removal methods; setting location information relating to a location based on a user input to the user terminal; setting at least one CO2 removal method from the plurality of CO2 removal methods as a CO2 removal method to be applied to the location based on the user input to the user terminal; calculating a predicted value of the carbon fixation amount when the at least one CO2 removal method is applied to the location indicated by the location information, based on the carbon cycle model, the set location information, and the input parameters corresponding to the set CO2 removal method; and presenting the predicted value to the user on the user terminal.

[0011] A program according to an embodiment of the present disclosure is a program executed on a user device communicatively connected to a server device. The server device stores a carbon cycle model for predicting the circulation of chemical substances containing carbon atoms in a specified watershed or body of water and input parameters corresponding to each of multiple CO2 removal methods. The program causes a processor of the user terminal to: transmit location information regarding a location identified based on a user input to the server device; transmit information regarding CO2 removal methods, which apply at least one CO2 removal method from the multiple CO2 removal methods to the location based on the user input; receive from the server device a predicted value calculated by the server device based on the carbon cycle model, the location information, and the input parameters corresponding to the CO2 removal method indicated in the information regarding the CO2 removal method, the predicted value being a predicted value of the amount of carbon fixation that would occur if the at least one CO2 removal method were applied to the location indicated by the location information; and present the predicted value to the user. [Effects of the Invention]

[0012] According to one embodiment of the present disclosure, it is possible to appropriately predict the future amount of carbon fixation when CDR technology is applied to a certain location and to grasp the amount of effect. [Brief explanation of the drawings]

[0013] [Figure 1] FIG. 1 is a diagram illustrating an example of the configuration of a system according to an embodiment of the present disclosure. [Figure 2] FIG. 2 shows an example of various models that can be included in the carbon cycle model information. [Figure 3] FIG. 3 is a conceptual diagram of a model that may be included in the carbon cycle model information. [Figure 4] FIG. 4 is a conceptual diagram of a model that may be included in the carbon cycle model information. [Figure 5]FIG. 5 is a flowchart illustrating an example of information processing according to an embodiment of the present disclosure. [Figure 6] FIG. 6 shows an example of the content presented regarding the potential value of the amount of carbon fixation. [Figure 7] FIG. 7 is a flowchart illustrating an example of a process for calculating a predicted value of a carbon fixation amount according to an embodiment of the present disclosure. [Figure 8] Figure 8 shows an example of the content presented regarding the predicted value of carbon fixation. DETAILED DESCRIPTION OF THE INVENTION

[0014] Hereinafter, examples of embodiments of the present disclosure will be described with reference to the drawings. The order of various processes constituting the various flows described below may be random, and may be executed in parallel, as long as no inconsistencies occur in the process content.

[0015] FIG. 1 is a diagram illustrating an example configuration of a system 3 according to an embodiment of the present disclosure. As illustrated in FIG. 1, the system 3 includes at least a user terminal 2 and a server device 1. The server device 1 and the user terminal 2 are capable of communicating with each other via a network 4, and can transmit and receive data to and from each other. The system 3 may include multiple user terminals 2 each operated by multiple users. The system 3 may be realized by including a native app downloaded to the user terminal 2, by including a web app, or by a cloud-based service such as SaaS.

[0016] The server device 1 includes, for example, a storage unit 10 and a control unit 20. The storage unit 10 stores various programs and data for operating the server device 1. The storage unit 10 is configured by, for example, a storage device such as a ROM, HDD, or SDD. The ROM is an example of a non-transitory computer-readable medium that stores a program. The storage unit 10 may be provided in an external device accessible by the server device 1.

[0017] The storage unit 10 stores, for example, a program 11, watershed data 12 including carbon cycle model information 13, map information 14, and various condition data 15, CO2 removal method data 16, and user data 17. The program 11 is, for example, a computer program for causing the server device 1 to realize various functions described below.

[0018] The river basin data 12 is data corresponding to a predetermined river basin and / or water area (hereinafter also referred to as "river basin, etc."). Here, the "predetermined river basin" refers to, for example, the area in which carbon and organic matter circulate through rivers and groundwater. The "predetermined river basin" may be a catchment area separated by a watershed. Preferably, the "predetermined river basin" further includes a groundwater catchment area located within the catchment area of ​​a predetermined river. The "predetermined region" may include two or more catchments, or may be a division of a single catchment area. The "predetermined water area" refers to, for example, a pond or lake included within the predetermined river basin, or a coastal area or sea area adjacent to the predetermined river basin. The "predetermined river basin" and "predetermined water area" can be set appropriately by the administrator of the server device 1. The river basin data 12 may include data corresponding to multiple river basins, etc.

[0019] The carbon cycle model information 13 is information on various models for creating a carbon cycle model that predicts the circulation of chemical substances containing carbon atoms in a watershed, etc. The carbon cycle model information 13 will be described in detail in a later paragraph. By using a carbon cycle model that uses a watershed, etc. as a unit, it is possible to calculate a predicted value while taking into account, for example, the influence of nutrients and the like that have been advected from upstream in the material circulation to the location where the predicted value of the carbon fixation amount is to be calculated, making it possible to appropriately predict the future carbon fixation amount.

[0020] The map information 14 is data relating to a map of a watershed or the like. The various condition data 15 is, for example, data that may affect the predicted value of the amount of carbon fixation. The various condition data 15 includes, for example, at least one of meteorological data (precipitation, temperature, amount of solar radiation, wind direction, wind speed, water vapor pressure, cloud cover, etc.), crop data (crop area, crop variety, etc.), and water management data (water volume, water quality, etc.). The various condition data 15 may include past data and future prediction data. The various condition data 15 may be added or updated, for example, at predetermined intervals.

[0021] The CO2 removal method data 16 is data related to a plurality of types of CO2 removal methods. The CO2 removal method data 16 includes input parameters corresponding to each of a plurality of types of CO2 removal methods. These input parameters are used to calculate the predicted value of the carbon fixation amount. The CO2 removal methods stored in the CO2 removal method data 16 are CDR techniques that can be selected by the user. There are no particular restrictions on the CO2 removal methods stored in the CO2 removal method data 16, and the administrator of the server device 1 can determine them as appropriate. Specific examples of CO2 removal methods include various CDR techniques related to no-tillage, biochar, microbial use, afforestation / reforestation, and soil carbon storage.

[0022] The user data 17 is data related to the user who operates the user terminal 2. The user data 17 includes, for example, information related to the user's personal information, login password, system usage history, and awarded rewards, which are managed for each user.

[0023] The control unit 20 is configured with, for example, a processor and a memory such as RAM. By executing the program 11, the control unit 20 functions as, for example, a position information setting unit 21, a method setting unit 22, a first calculation unit 23, a second calculation unit 24, an actual measurement value registration unit 25, a reward granting unit 26, and a trading unit 27.

[0024] The position information setting unit 21 has a function of setting position information relating to a position based on input from the user at the user terminal 2. The position information setting unit 21 can set multiple pieces of position information. For example, the position information indicates one of the ranges obtained by dividing a watershed or the like into predetermined meshes as a position selected by the user. The shape of the mesh is not particularly limited and may be, for example, a square or a rectangle. The size of the mesh is not particularly limited and may be, for example, a mesh with one side measuring 1 to 1000 m. The size of the mesh may be changeable based on input from the user.

[0025] The method setting unit 22 has a function of setting at least one CO2 removal method from among a plurality of types of CO2 removal methods as the CO2 removal method to be applied to the position set by the position information setting unit 21, based on input from the user at the user terminal 2. When a plurality of pieces of position information are set by the position information setting unit 21, one or more CO2 removal methods can be set for each of the positions indicated by the plurality of pieces of position information. It is preferable that the method setting unit 22 be able to set the amount of CO2 removal method to be applied (e.g., application area, application amount, etc.) based on input from the user at the user terminal 2, for example.

[0026] The first calculation unit 23 has a function of calculating a predicted value of the amount of carbon fixation when at least one or more CO2 removal methods are applied at the location indicated by the set location information, based on the carbon cycle model, the set location information, and input parameters corresponding to the set CO2 removal methods (for example, acquired by referring to the CO2 removal method data 16). Details of the calculation method used by the first calculation unit 23 will be described later using a flowchart.

[0027] When multiple pieces of location information are set and one or more CO2 removal methods are set for each of the locations indicated by the multiple pieces of location information, the first calculation unit 23, for example, calculates the predicted value for each location by taking into account the other set location information and input parameters corresponding to the one or more CO2 removal methods set for each of the locations. In other words, the setting of a CO2 removal method for one location may affect the predicted value of the carbon fixation amount for other locations. This allows, for example, a user to determine the type of CO2 removal method and the locations to apply it, taking into account synergistic effects when CO2 removal methods are applied to multiple locations.

[0028] Furthermore, the first calculation unit 23 can calculate, for example, the total predicted value of the amount of carbon fixation for an entire watershed or the like, or for multiple locations included in the watershed. Being able to calculate the total for the entire watershed can, for example, provide motivation to work on CDR while taking the entire watershed into consideration. Being able to calculate the total for multiple locations makes it easier for, for example, an individual user who owns multiple plots of land to make an overall optimal selection.

[0029] Furthermore, the predicted value may be a predicted value for a predetermined period such as a single year, but it is preferable that it shows a change over time for each predetermined period (for example, every six months, every year, etc.). By showing the change over time, it becomes possible to properly grasp, for example, the amount of effect at each future time period.

[0030] The second calculation unit 24 has a function of calculating, based on the carbon cycle model, the potential value of the amount of carbon fixation at each point (range) included in the watershed, etc. Details of the calculation method by the second calculation unit 24 will be explained later using a flowchart.

[0031] The potential value is, for example, a value obtained by subtracting the "amount of carbon fixation when a CO2 removal method is not applied" from the "amount of carbon fixation when a CO2 removal method is applied" at each location. The potential value is preferably a value obtained when the selection of a CO2 removal method is optimized for the entire watershed, etc. Like a predicted value, the potential value may be a value for a predetermined period, such as a single year, or may indicate a change over time. The potential value may be calculated, for example, as the total of potential values ​​for the entire watershed, etc., or for multiple locations within the watershed, etc. By presenting the potential value, for example, a user can easily identify locations where applying a CO2 removal method would be highly effective.

[0032] The actual measurement value registration unit 25 has a function of registering the actual measurement value of the amount of carbon fixation at the position indicated by the position information set by the position information setting unit 21. The actual measurement value is stored in the user data 17, for example.

[0033] The reward granting unit 26 has a function of granting a reward to a user based on the actual measurement value registered by the actual measurement value registration unit 25. The reward is not particularly limited, but may be, for example, a carbon credit according to the actual measurement value of the amount of carbon fixation. The carbon credit may be granted in the form of, for example, an NFT or an FT. By granting a reward such as a carbon credit, it is possible to increase the motivation of the user to participate in CDR efforts, for example.

[0034] The trading unit 27 has a function of performing transaction processing related to the rewards given to users. Examples of transaction processing include buying and selling of carbon credits.

[0035] The user terminal 2 is not particularly limited, and examples thereof include a smartphone, a personal computer, a tablet, and a wearable device. The user terminal 2 includes, for example, a storage unit 30 and a control unit 40. The storage unit 30 stores a program 31 for operating the user terminal 2, various data, and the like. The storage unit 30 is configured by a storage device such as a ROM, HDD, or SDD. The ROM is an example of a non-transitory computer-readable medium that stores a program. The storage unit 30 may be provided in an external device accessible by the user terminal 2.

[0036] The control unit 40 is configured with, for example, a processor and a memory such as a RAM, etc. When the program 31 is executed, the control unit 40 functions as, for example, a receiving unit 41 and a presenting unit 42.

[0037] The reception unit 41 has a function of receiving various operations from the user on the user terminal 2 via an input interface such as a touch panel or a keyboard. Information related to the received operations can be transmitted to the server device 1. The information transmitted to the server device 1 includes, for example, information related to the watershed selected by the user, the location, the CO2 removal method, a request for presentation of various information, and a request for trading rewards.

[0038] The presentation unit 42 has a function of presenting various information to the user. The presented information may include information received from the server device 1 (for example, map information, predicted values ​​and potential values ​​of carbon fixation amount, etc.). Information is presented to the user via output devices such as a display and a speaker.

[0039] The computer device 5 is, for example, a device belonging to a company or the like that provides a CO2 removal method, or an organization or the like that measures and certifies the amount of carbon fixation. The computer device 5 and the server device 1 can, for example, be connected to each other for communication. The computer device 5 transmits, to the server device 1, for example, information about new CO2 removal methods developed by companies or the like, and information about the actual measured values ​​and certification of the amount of carbon fixation. The server device 1 may update various data in response to receiving this information, or an administrator of the server device 1 may manually update the various data after carefully examining the information.

[0040] The computer device 6 is, for example, a device belonging to a company that mediates transactions such as carbon credits, or a company that wishes to trade. The computer device 6 and the server device 1 can, for example, be connected to each other for communication. The computer device 6 may also be connected to the user terminal 2 for direct communication.

[0041] There may be multiple computers 5 and 6 depending on the number of companies, etc., connecting to the system 3. In this embodiment, the computers 5 and 6 are described as being different from the administrator of the server device 1, but they may be the same.

[0042] Next, the carbon cycle model information 13 will be described in detail using Figures 2 to 4. Figure 2 shows an example of various models that may be included in the carbon cycle model information 13. The three-dimensional geological model 51 is, for example, a model that displays geological survey and drilling data in three dimensions using elements such as points, lines, and surfaces, and may also include drilling models. The watershed conceptual model 52 is, for example, a model of permeable and impermeable layers underground throughout the watershed, created based on the characteristics of underground leakage, permeability, and storage capacity throughout the watershed by allocating necessary data from the various condition data 15 to the three-dimensional geological model 51. The groundwater flow analysis model 53 is, for example, a model for analyzing groundwater flow. The infiltration model 54 is, for example, a model for analyzing infiltration of groundwater into lower layers, such as aquifers, and may also include tank models. The groundwater flow and material transport model 55 is, for example, a model for analyzing advection-diffusion due to groundwater flow and material transport by groundwater using the results of the groundwater flow analysis model 53. The soil deposition and transport model 56 is, for example, a model for analyzing the deposition and transport of inorganic and organic matter in soil. The organic matter decomposition model 57 is, for example, a model for analyzing the decomposition of organic matter. The elution model 58 is, for example, a model for analyzing the elution of inorganic and organic matter into groundwater. The surface water runoff model 59 is, for example, a model for analyzing surface water runoff, and may include a tank model, a multi-tank model, etc. The river channel runoff model 60 is, for example, a model for analyzing runoff downstream of a river channel, and may include a kinematic wave model, etc. The river channel purification model 61 is, for example, a model for analyzing the purification of water flowing through a river channel, such as the removal of organic matter and nutrients.

[0043] Here, Figure 3 is a conceptual diagram of models that may be included in the carbon cycle model information 13. Figure 3 shows a combined model 71 that combines a soil deposition and transport model 56, an organic matter decomposition model 57, and an elution model 58, and a combined model 72 that combines a runoff model (multi-tank model) 59 and a groundwater flow and material transport model 55. The multi-tank model is created according to the type of land use at that location, and a combined model 71 that corresponds to the type of land use can be applied. Note that the arrows in Figure 3 indicate the movement of materials and water.

[0044] Returning to the explanation of Figure 2, the CO2 aeration model 62 is a model for analyzing, for example, the movement of CO2 between the water or soil surface and the atmosphere. The plant growth model 63 is a model for analyzing, for example, plant growth and the amount of carbon fixation due to growth. The plant growth model 63 can vary depending on the type of plant. The river and bottom sediment model 64 is a model for analyzing the circulation of substances, such as sedimentation, deposition, and resuspension, in rivers and bottom sediments. The water body mass transport model 65 is a model for analyzing, for example, flow in water bodies and the resulting material transport. The aquatic ecosystem model 66 is a model for analyzing the circulation of substances based on, for example, the food chain of an ecosystem consisting of plankton and other organisms present in water bodies.

[0045] FIG. 4 is a conceptual diagram of a model that may be included in the carbon cycle model information 13. FIG. 4 shows a combined model 73 that combines a CO2 aeration model 62, a river and bottom sediment model 64, a water body material transport model 65, an organic matter decomposition model 57, a plant growth model 63, and an aquatic ecosystem model 66. The combined model 73 is a model used, for example, when calculating predicted values ​​and potential values ​​of the amount of carbon fixation in a specified water body. The combined model 73 also takes into account the inflow of substances, etc., flowing in from adjacent watersheds. Note that the arrows in FIG. 4 indicate the movement of substances.

[0046] The carbon cycle model used to calculate the amount of carbon fixation, etc., is created based on at least one of the various models shown in Figures 2 to 4, for example. The carbon cycle model can be expressed by at least one mathematical formula. The carbon cycle model information 13 may be configured to include not only the various models used to create the carbon cycle model, but also pre-created carbon cycle models created for each watershed, etc., or may be configured to include both various models and pre-created models. The carbon cycle model may vary depending on the watershed to which the set location belongs, the set location information, the set CO2 removal method, etc. Furthermore, it is preferable that the carbon cycle model be capable of analyzing not only carbon but also the circulation of so-called macronutrients that affect plant growth, such as nutrients (nitrogen, phosphorus), potassium, and silicon. In particular, it is preferable that the carbon cycle model be capable of analyzing the circulation of so-called macronutrients that affect plant growth, such as iron and manganese. It is also preferable that the carbon cycle model be capable of analyzing the circulation of so-called trace elements, such as iron and manganese, and the circulation of substances that adversely affect plants, such as ammonia and nitrite.

[0047] Next, an information processing method using the system 3 will be described. Fig. 5 is a flowchart showing an example of information processing according to an embodiment of the present disclosure. Note that with regard to each of the following processes, the processes executed by the server device 1 may be executed by the user terminal 2 to the extent that no contradictions occur, and the processes executed by the user terminal 2 may be executed by the server device 1 to the extent that no contradictions occur.

[0048] First, as a premise, a user logs in to the system 3. In step S1, the user terminal 2 accepts input related to a watershed, etc. In step S1, the user, for example, enters an address, selects a watershed, etc. using a pull-down menu, or enters information based on GPS information. The information accepted in step S1 is transmitted to the server device 1.

[0049] In step S2, the server device 1 identifies the river basin, etc. selected by the user based on the information received from the user terminal 2. The server device 1 also refers to the river basin, etc. data 12 corresponding to the identified river basin, etc., and transmits the data included in the map information 14 to the user terminal 2.

[0050] In step S3, the user terminal 2 receives the data transmitted in step S2 from the server device 1. The user terminal 2 also displays map information such as a watershed based on the data.

[0051] When the user terminal 2 receives a request to present a potential value from the user (Yes in step S4), information regarding the presentation request is transmitted to the server device 1. In step S5, the server device 1 calculates a potential value of the amount of carbon fixation based on the presentation request. The calculation of the potential value will be described later. Information regarding the calculated potential value is transmitted to the user terminal 2. In step S6, the user terminal 2 displays the potential value based on the information received from the server device 1.

[0052] Here, a specific example of the processing of step S6 will be shown. Fig. 6 shows an example of the content presented regarding the potential value of the carbon fixation amount. Potential maps 81, 82, and 84 are obtained by dividing a map corresponding to a watershed or the like into predetermined mesh units, and attaching an identification mark to each mesh according to the potential value. The form of the identification mark is not particularly limited, and may be, for example, a heat map format or may use marks or the like.

[0053] Even within the same mesh, potential values ​​may differ depending on the type of land use (e.g., forest, field, rice paddy, fruit trees, urban area / park, river, water area, etc.). Potential map 81 shows the potential of the forest portion of the mesh, potential map 82 shows the potential of the field portion of the mesh, and potential map 84 shows the total value of the potential for all land uses within each mesh range. For example, when a user specifies a location using an address or GIS map, etc., a potential map is displayed on user terminal 2 according to the specified type of land use. Furthermore, for example, if the user changes the type of land use, the potential map is switched to the changed potential map for the specified location.

[0054] The user can also select one or more of each mesh. For example, if the user selects mesh 83 included in the potential map 82 for fields, a graph 85 showing the potential value when a CO2 removal method is applied to the fields included in the mesh 83 is displayed on the user terminal 2. If mesh 83 in the potential map 84 is selected, the total potential value for all land uses in mesh 83 is displayed. Graph 85 is a graph showing the yearly change in potential value over time. By selecting a mesh for which the user wants to know more about the potential value, the user can be presented with a graph corresponding to the type of land use within that mesh's range. Furthermore, by selecting two or more meshes, the user may be able to view a graph showing the total potential value for two or more mesh ranges. Furthermore, the user may be able to view a graph showing the total potential value for the entire watershed.

[0055] Returning to the explanation of Figure 5, if there is no request for presentation of a potential value from the user at the user terminal 2 (No at step S4), the process proceeds to step S7. At step S7, the user terminal 2 accepts input related to location information and transmits the input location information to the server device 1. At step S8, the user terminal 2 accepts input related to a CO2 removal method and transmits the input information related to the CO2 removal method to the server device 1. At steps S7 and S8, multiple pieces of location information or multiple CO2 removal methods may be accepted according to the user's input. Furthermore, the transmissions at steps S7 and S8 may be performed simultaneously.

[0056] In step S9, the server device 1 calculates a predicted value of the amount of carbon fixation based on the location information and information on CO2 removal methods received from the user terminal 2, and a carbon cycle model corresponding to the watershed, etc. Information on the calculated predicted value is transmitted to the user terminal 2. In step S10, the user terminal 2 displays the predicted value of the amount of carbon fixation based on the information received from the server device 1.

[0057] Here, the processing of step S9 will be described in detail with reference to Fig. 7. Fig. 7 is a flowchart showing an example of a calculation process for a predicted value of the carbon fixation amount according to an embodiment of the present disclosure. (a) of Fig. 7 shows an example of the calculation process in a watershed.

[0058] In step S21, the server device 1 sets one or more pieces of location information. In step S22, the server device 1 sets one or more CO2 removal methods for the locations indicated by the location information, and acquires input parameters corresponding to the CO2 removal method by referring to the CO2 removal method data 16. The input parameters may differ depending on the application amount and application time of the CO2 removal method.

[0059] In step S23, the server device 1 refers to the carbon cycle model information 13 corresponding to the watershed, etc., and determines a carbon cycle model corresponding to the type of land use, etc. The carbon cycle model may be determined so as to vary depending on the CO2 removal method to be applied, the location where it is applied, etc. In the following, the carbon cycle model will be described as a model that can also analyze the circulation of substances other than the above-mentioned carbon. In step S24, the server device 1 refers to the various condition data 15, and acquires parameters related to various conditions to be input into the carbon cycle model determined in step S23.

[0060] In steps S25 to S29, input parameters according to the set CO2 removal method and parameters related to the acquired various conditions are input to the determined carbon cycle model, and a predicted value for the set location information is calculated. Specifically, in step S25, the server device 1 predicts the amount of organic matter produced and the amount of direct carbon fixation in the soil. The prediction of the amount of direct carbon fixation is calculated, for example, based on the aeration model 62, etc., by calculating the amount of CO2 that has entered the soil and is adsorbed and absorbed by the CO2 removal method. In step S26, the server device 1 predicts the amount of organic matter decomposition, elution, and transport. In step S27, the server device 1 calculates the predicted value of the amount of carbon fixation.

[0061] In step S28, the server device 1 calculates the circulation of materials in a watershed or the like, and reflects the calculation result in the input data for the next period. In step S29, the server device 1 calculates the predicted value for the next period. In step S29, for example, the processes of steps S25 to S28 are repeated. However, at least some of the parameters input to the carbon cycle model have been changed by the process of step S28. By repeating the processes of steps S25 to S29 a preset number of times, it becomes possible to more appropriately calculate the secular change in the predicted value of the carbon fixation amount.

[0062] Figure 7(b) is an example of calculation processing for a water body. The processing related to steps S31-34 and S41 in Figure 7(b) can refer to the content explained in steps S21-24 and S29 in Figure 7(a) to the extent that there is no contradiction, so explanation will be omitted. Note that in the case of calculation processing for a water body adjacent to a watershed, the inflow of carbon and other substances from the watershed to the water body may be calculated by processing such as that shown in Figure 7(a).

[0063] In step S35, the server device 1 predicts the advection and diffusion of CO. In the process of Fig. 7(b), for example, a basic balance equation of the DIC-CO concentration model shown in the following equation (1) may be included as one of the carbon cycle models.

number

[0064] In step S36, the server device 1 calculates the carbon balance due to photosynthesis, respiration, and biodegradation based on, for example, an aquatic ecosystem model of the carbon cycle model. In step S37, the server device 1 calculates the DIC (dissolved inorganic carbon) flux from the difference in DIC concentration between the aqueous phase and the interstitial water of the sediment based on, for example, a bottom sediment model of the carbon cycle model.

[0065] In step S38, the server device 1 calculates the CO2 exchange rate (F) between the water phase and the atmosphere based on, for example, a CO2 aeration model of the carbon cycle model. airation) is calculated. In addition, inorganic carbon concentration and residual oxygen concentration in the water area are calculated based on the carbon cycle model. In step S39, the server device 1 calculates a predicted value of the amount of carbon fixation (for example, F in formula (1)) based on the calculation results up to this point. w-s ) is calculated. In step S40, the server device 1 calculates the circulation of water body substances and reflects it in the input data for the next period.

[0066] The calculation process of the potential value can also be performed in the same manner as in (a) and (b) of Figure 7. The calculation process of the potential value differs from the calculation process of the predicted value in that, for example, in steps S22 and S23, the server device 1 automatically selects a CO2 removal method that maximizes the effect of CO2 removal over the entire area such as a watershed.

[0067] Next, a specific example of the processing of step S10 and the like will be shown. Fig. 8 shows an example of the content presented regarding the predicted value of the carbon fixation amount. With a potential map 91 (land use type: forest) displayed, the user can select a location (mesh range) for calculating the predicted value. When prompting the user to select a location, a map without displaying potential values ​​and mesh divisions may be displayed, or a map without displaying potential values ​​but with mesh divisions may be displayed.

[0068] When a mesh 92a is selected as the position for calculating a predicted value, for example, a selection field 93 for CO2 removal methods applicable to the mesh 92a is displayed on the user terminal 2. For example, icons corresponding to the respective CO2 removal methods are displayed in the selection field 93. The user can select one or more CO2 removal methods to be applied to the mesh 92a from the selection field 93. The CO2 removal method may be selected by, for example, dragging and dropping the icon onto the mesh to which the CDR technique is to be applied.

[0069] When the user selects a CO2 removal method to set in mesh 92a, a graph 94 showing changes over time in the predicted amount of carbon fixation when that selection is made in mesh 92a is displayed on user terminal 2. As shown in graph 94, the predicted values ​​can be displayed to compare how they differ when one CO2 removal method is selected, when two CO2 removal methods are selected, and so on. The predicted values ​​can also be displayed to compare when different CO2 removal methods are selected. The user terminal 2 also presents the user with the costs associated with selecting each CO2 removal method. For combinations of CO2 removal methods such as those shown in graph 94, not only the carbon fixation amounts but also the costs can be compared.

[0070] If the user further selects a CO2 removal method to be set in mesh 92b, the predicted value in mesh 92a is recalculated, and the predicted value may change due to the influence of the CO2 removal method applied to mesh 92b. Furthermore, in response to a user operation, the change in the predicted value over time in mesh 92b may be displayed on the user terminal 2. The user terminal 2 may display the predicted values ​​in mesh 92a and mesh 92b so that they can be compared, or may display them so that they can be switched between. Furthermore, the total of the predicted values ​​in meshes 92a and 92b, the cost in each mesh, etc. may be displayed.

[0071] Returning to the explanation of Figure 5, after step S10, for example, when the server device 1 receives a notification from the user terminal 2 that the CO2 removal method has actually been applied, the server device 1 preferably stores information about the applied location and CO2 removal method in the user data 17. Furthermore, when a predetermined period has passed since receiving the notification or when a preset measurement date has arrived, the server device 1 may be configured to request measurement and certification of the actual value of the carbon fixation amount from the computer device 5 of an external certification organization or the like. Furthermore, the request for measurement and certification to the computer device 5 may be made directly from the user terminal 2 or indirectly via the server device 1.

[0072] In this way, the actual amount of carbon fixation is measured and certified, and when the server device 1 receives a request to register the actual measured value from the computer device 5 or the like (Yes in step S11), in step S12, the server device 1 registers the certified amount of carbon fixation (actual measured value), for example, based on data received from the computer device 5 or the like. The certified amount of carbon fixation may be registered manually by an administrator of the server device 1 based on data received from a certification organization or the like. A display may be displayed that allows the user to compare the certified amount of carbon fixation with the predicted value.

[0073] In step S13, the server device 1 grants a reward to the user based on the authenticated carbon fixation amount. The reward may be, for example, a carbon credit granted in the form of an NFT or an FT. The user can check the reward granted to them via the user terminal 2.

[0074] When the user terminal 2 receives a transaction request for rewards (Yes in step S14), the server device 1 executes a transaction process in accordance with the user's transaction request. The transaction process is, for example, a process related to the buying and selling of carbon credits, etc. The transaction of carbon credits, etc. may be carried out between the user terminal 2 and the server device 1, or may be carried out between the user terminal 2 and the computer device 6.

[0075] Although one embodiment of the present disclosure has been described above, the present invention is not limited to the above embodiment and can be appropriately modified, improved, etc. The present invention is defined by the claims and includes all modifications within the meaning and scope of the claims.

[0076] [Note] The above-described embodiments have been described in such a manner that a person skilled in the art to which the invention pertains can implement the following invention.

[0077] [1] A carbon fixation prediction system realized by a user terminal and a server device that can be connected to the user terminal, a storage unit that stores a carbon cycle model that predicts the circulation of chemical substances containing carbon atoms in a specified watershed or body of water, and input parameters corresponding to each of a plurality of types of CO2 removal methods; a location information setting unit that sets location information related to a location based on an input from a user of the user terminal; a method setting unit that sets at least one CO removal method from the plurality of CO removal methods as a CO removal method to be applied to the position based on an input from a user at the user terminal; a first calculation unit that calculates a predicted value of the amount of carbon fixation when the at least one CO removal method is applied to the location indicated by the location information, based on the carbon cycle model, the set location information, and the input parameters corresponding to the set CO removal method; and a presentation unit in the user terminal that presents the predicted value to the user; A carbon fixation prediction system comprising:

[0078] [2] When the location information setting unit sets a plurality of pieces of location information and the method setting unit sets the at least one CO2 removal method at each of the locations indicated by the plurality of pieces of location information, the first calculation unit calculates the predicted value at each of the locations by taking into account the other set piece of location information and the input parameters corresponding to the at least one CO2 removal method set at each of the locations indicated by the other piece of location information. [1] The carbon fixation prediction system described in [1].

[0079] [3] The first calculation unit is capable of calculating the total predicted value of the carbon fixation amount in the entire specified watershed or water area, or in a plurality of locations included in the specified watershed or water area. [1] or [2]. The carbon fixation prediction system.

[0080] [4] The system further comprises: a second calculation unit that calculates a potential value of the amount of carbon fixation at each point included in the specified watershed or water area based on the carbon cycle model; the presentation unit is capable of presenting a map corresponding to the predetermined river basin or water area; The map is divided into predetermined mesh units, and each mesh is given an identification mark according to a potential value. [1] to [3]. The carbon fixation prediction system according to any one of [1] to [3].

[0081] [5] The carbon cycle model is created based on at least one of a CO2 aeration model, a plant growth model, a soil sedimentation and transport model, an organic matter decomposition model, a groundwater flow and material transport model, a water body material transport model, and an aquatic ecosystem model. [1] to [4]. The carbon fixation prediction system according to any one of [1] to [4].

[0082] [6] The system further comprises: an actual measurement value registration unit that registers an actual measurement value of the amount of carbon fixation at the position indicated by the position information; and a reward granting unit that grants a reward to the user based on the actual measurement value registered in the actual measurement value registration unit; The carbon fixation prediction system according to any one of [1] to [5], comprising:

[0083] [7] An information processing method executed in a carbon fixation amount prediction system realized by a user terminal and a server device communicably connected to the user terminal, Storing a carbon cycle model that predicts the circulation of chemicals containing carbon atoms in a given watershed or body of water, and input parameters corresponding to each of a plurality of CO2 removal methods; setting location information relating to a location based on an input from a user at the user terminal; setting at least one CO2 removal method from the plurality of types of CO2 removal methods as a CO2 removal method to be applied to the location based on an input from a user at the user terminal; calculating a predicted value of the amount of carbon fixation when the at least one CO2 removal method is applied at the location indicated by the location information, based on the carbon cycle model, the set location information, and the input parameters corresponding to the set CO2 removal methods; presenting the predicted value to the user at the user terminal; An information processing method, including:

[0084] [8] A program executed on a user device that can communicate with a server device, the server device stores a carbon cycle model that predicts the circulation of chemical substances containing carbon atoms in a specified watershed or body of water, and input parameters corresponding to each of a plurality of types of CO2 removal methods; The program causes a processor of the user terminal to: transmitting location information relating to the location identified based on an input from a user to the server device; transmitting, to the server device, information on a CO2 removal method that applies at least one of the plurality of CO2 removal methods to the location based on the input from the user; receiving from the server device a predicted value calculated by the server device based on the carbon cycle model, the location information, and the input parameters corresponding to the CO2 removal method indicated in the information on the CO2 removal method, the predicted value being a predicted value of the amount of carbon fixation when the at least one CO2 removal method is applied at the location indicated by the location information; presenting the predicted value to the user; A program that executes. [Explanation of symbols]

[0085] 1: Server device, 2: User terminal, 3: System, 4: Network

Claims

1. A carbon fixation amount prediction system realized by a user terminal and a server device communicably connected to the user terminal, Carbon cycle models predict the cycle of chemicals containing carbon atoms in a given watershed or body of water, and multiple types of CO 2 a storage unit for storing input parameters corresponding to each of the removal techniques; a location information setting unit that sets location information related to a location based on an input from a user of the user terminal; The plurality of types of CO are selected based on an input from the user at the user terminal. 2 At least one CO removal method 2 Applying a CO removal technique to the location 2 a method setting unit for setting a removal method; The carbon cycle model, the set location information, and the set CO 2 and detecting the at least one CO at the location indicated by the location information based on the input parameters corresponding to the removal technique. 2 a first calculation unit that calculates a predicted value of the amount of carbon fixation when the removal method is applied; and a presentation unit in the user terminal that presents the predicted value to the user; A carbon fixation prediction system comprising:

2. The position information setting unit sets a plurality of pieces of position information, and the technique setting unit sets the at least one CO 2 When a removal method is set, the first calculation unit calculates the predicted value at each of the positions based on other set position information and the at least one or more CO 2 and calculating the input parameters corresponding to the removal technique, taking into consideration the input parameters. The carbon fixation amount prediction system according to claim 1 .

3. The first calculation unit is capable of calculating a total predicted value of the amount of carbon fixation in the entire specified watershed or water area, or in a plurality of locations included in the specified watershed or water area. The carbon fixation amount prediction system according to claim 1 or 2.

4. The system further comprises: a second calculation unit that calculates a potential value of the amount of carbon fixation at each point included in the specified watershed or water area based on the carbon cycle model; the presentation unit is capable of presenting a map corresponding to the predetermined river basin or water area; The map is divided into predetermined mesh units, and each mesh is given an identification mark according to a potential value. The carbon fixation amount prediction system according to claim 1 or 2.

5. The carbon cycle model is 2 It is created based on at least one of the following models: an aeration model, a plant growth model, a soil deposition and transport model, an organic matter decomposition model, a groundwater flow and material transport model, a water body material transport model, and an aquatic ecosystem model. The carbon fixation amount prediction system according to claim 1 or 2.

6. The system further comprises: an actual measurement value registration unit that registers an actual measurement value of the amount of carbon fixation at the position indicated by the position information; and a reward granting unit that grants a reward to the user based on the actual measurement value registered in the actual measurement value registration unit; The carbon fixation amount prediction system according to claim 1 or 2, comprising:

7. An information processing method executed in a carbon fixation amount prediction system realized by a user terminal and a server device communicably connected to the user terminal, Carbon cycle models predict the cycle of chemicals containing carbon atoms in a given watershed or body of water, and multiple types of CO 2 input parameters corresponding to each of the removal techniques; setting location information relating to a location based on an input from a user at the user terminal; The plurality of types of CO are selected based on an input from the user at the user terminal. 2 At least one CO removal method 2 Applying a CO removal technique to the location 2 setting it as a removal technique; The carbon cycle model, the set location information, and the set CO 2 and detecting the at least one CO at the location indicated by the location information based on the input parameters corresponding to the removal technique. 2 Calculating a predicted value of the amount of carbon fixation when the removal method is applied; presenting the predicted value to the user at the user terminal; An information processing method, including:

8. A program executed on a user device that can be connected to a server device, The server device includes a carbon cycle model that predicts the circulation of chemical substances containing carbon atoms in a predetermined watershed or a water area, and a plurality of types of CO 2 and input parameters corresponding to each of the removal techniques; The program causes a processor of the user terminal to: transmitting location information relating to the location identified based on an input from a user to the server device; Based on the input from the user, 2 At least one CO removal method 2 Applying a CO removal technique to the location 2 transmitting information about the removal technique to the server device; The carbon cycle model, the location information, and the CO 2 Information on removal methods indicates that 2 and a predicted value calculated by the server device based on the input parameters corresponding to the removal method, 2 receiving from the server device a predicted value of the amount of carbon fixation when the removal method is applied; presenting the predicted value to the user; A program that executes.

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