Method and device for assessing food chain consequences of nuclear accidents, electronic equipment and storage medium

Abstract

The embodiment of the application discloses a kind of nuclear accident food chain consequence evaluation method, device, electronic equipment and storage medium;Method includes: determining evaluation area and the food chain transmission characteristics in evaluation area;According to the dose calculation model of nuclide transfer from crop to human body, food chain transmission characteristics are constructed;The region division processing is carried out to evaluation area, and first radioecological zone and secondary radioecological zone are obtained, and the corresponding ecological database is respectively constructed;According to the dose of nuclide in the evaluation area by the food intake route from the crop to the human body is obtained according to ecological database and calculation model.In the embodiment of the application, the agricultural ecological environment dynamic calculation accident consequence can be carried out when nuclear accident occurs.Therefore, the accuracy of nuclear accident food chain consequence evaluation can be improved by the scheme, to meet the needs of use.

Description

Technical Field

[0001] This application relates to the field of nuclear accident food chain consequence assessment technology, specifically to a method, apparatus, electronic device, and storage medium for nuclear accident food chain consequence assessment. Background Technology

[0002] A nuclear accident refers to an unexpected event at a large nuclear facility (such as a nuclear fuel production plant, nuclear reactor, nuclear power plant, nuclear-powered ship, and reprocessing plant) that results in the release of radioactive materials outside the facility, contaminating the surrounding environment and posing a threat to public health. Assessing the consequences of a nuclear accident includes estimating the level of contamination in crops and the corresponding potential radiation dose. Accurate assessment of crop contamination levels and potential radiation doses determines the degree of harm to human health and provides fundamental data support for emergency response and decision-making, while also providing a basis for subsequent agricultural countermeasures.

[0003] However, existing methods for assessing the food chain consequences of nuclear accidents do not take into account the specific agricultural production environment and the metabolic processes of crops at the time of the accident. Therefore, the assessment results are often inaccurate and cannot meet the needs of use. Summary of the Invention

[0004] This application provides a method, apparatus, electronic device, and storage medium for assessing the food chain consequences of a nuclear accident, which can improve the accuracy of assessing the food chain consequences of a nuclear accident and meet the needs of use.

[0005] In a first aspect, embodiments of this application provide a method for assessing the food chain consequences of a nuclear accident, including:

[0006] Determine the assessment area and the characteristics of food chain transmission within the assessment area;

[0007] Based on the characteristics of food chain transport, a calculation model for the characteristics of radionuclide transfer from crops to the human body is constructed. The calculation model includes: a sub-model for calculating the deposition amount of radionuclides on the surface of crops, a sub-model for calculating the radionuclide activity concentration in crops, and a sub-model for calculating the dose of radionuclides entering the human body through the dynamic food chain.

[0008] The assessment area was divided into primary and secondary radioecological zones.

[0009] Based on the input parameters in the computational model and the food chain transport characteristics within the primary radiation ecoregion, an ecological database of the primary radiation ecoregion is constructed.

[0010] Based on the input parameters in the computational model and the food chain transport characteristics of the secondary radioactive ecozone, an ecological database of the secondary radioactive ecozone is constructed.

[0011] Based on ecological databases and computational models, the doses of nuclides in the assessment area that are transferred from crops to humans via ingestion were obtained.

[0012] Secondly, embodiments of this application also provide a nuclear accident food chain consequence assessment device, comprising:

[0013] The first determining unit is used to determine the assessment area and the food chain transmission characteristics within the assessment area;

[0014] The first building unit is used to construct a food chain transport characteristic calculation model for the transfer of radionuclides from crops to the human body based on the food chain transport characteristics. The calculation model includes: a sub-model for calculating the deposition amount of radionuclides on the surface of crops, a sub-model for calculating the activity concentration of radionuclides in crops, and a sub-model for calculating the dose of radionuclides entering the human body through the dynamic food chain.

[0015] The first unit is used to divide the assessment area into primary and secondary radioecological zones.

[0016] The second building unit is used to construct an ecological database of the primary radiation ecoregion based on the input parameters in the calculation model and the food chain transport characteristics within the primary radiation ecoregion.

[0017] The third building unit is used to construct an ecological database of the secondary radioactive ecozone based on the input parameters in the calculation model and the food chain transmission characteristics of the secondary radioactive ecozone.

[0018] The second unit is used to obtain the dose of nuclear elements in the assessment region that are transferred from crops to the human body through ingestion, based on the ecological database and computational model.

[0019] Thirdly, an electronic device includes a memory, a processor, and a nuclear accident food chain consequences assessment program stored in the memory and executable on the processor. When the processor executes the nuclear accident food chain consequences assessment program, it implements the steps of the nuclear accident food chain consequences assessment method provided in any of the embodiments of this application.

[0020] Fourthly, a computer-readable storage medium stores a nuclear accident food chain consequence assessment program, which is executed by a processor to implement the steps of any nuclear accident food chain consequence assessment method provided in the embodiments of this application.

[0021] In this application, the nuclear accident food chain consequence assessment device can first construct a computational model of radionuclide transfer from crops to the human body based on the dynamic food chain situation in the assessment area. Then, it determines the primary and secondary radioecological zones in the assessment area and establishes ecological databases for the primary and secondary radioecological zones to facilitate data updates and storage. After a nuclear accident occurs, by determining the ecological database relative to the assessment area and directly calling the data in the ecological database, it can quickly assess the consequences of the nuclear accident and improve the accuracy of the nuclear accident food chain consequence assessment, thus meeting the needs of use. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1a This is a schematic diagram of a scenario for assessing the food chain consequences of a nuclear accident provided in an embodiment of this application;

[0024] Figure 1b This is a flowchart illustrating the nuclear accident food chain consequences assessment method provided in the embodiments of this application;

[0025] Figure 1c This is a flowchart illustrating the method for constructing a computational model of nuclide transfer from crops to the human body, as provided in an embodiment of this application.

[0026] Figure 2 This is a schematic diagram illustrating the application of the nuclear accident food chain consequence assessment method provided in this application embodiment in a server scenario;

[0027] Figure 3 This is a schematic diagram of the first structure of the nuclear accident food chain consequence assessment device provided in the embodiments of this application;

[0028] Figure 4 This is a schematic diagram of the terminal structure provided in the embodiments of this application. Detailed Implementation

[0029] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0030] This application provides a method, apparatus, storage medium, and computer program product for assessing the food chain consequences of a nuclear accident.

[0031] Specifically, the nuclear accident food chain consequence assessment device can be integrated into an electronic device, such as a terminal or server. The terminal can be a mobile phone, tablet, smart Bluetooth device, laptop, or personal computer (PC); the server can be a single server or a server cluster consisting of multiple servers.

[0032] In some embodiments, the nuclear accident food chain consequence assessment device can also be integrated into multiple electronic devices. For example, the nuclear accident food chain consequence assessment device can be integrated into multiple servers, and the nuclear accident food chain consequence assessment method of this application can be implemented by multiple servers.

[0033] In some embodiments, the server may also be implemented as a terminal.

[0034] For example, refer to Figure 1a The electronic device can be a server, which integrates a nuclear accident food chain consequence assessment device. In this embodiment, the server is used to determine the assessment area and the food chain transmission characteristics within the assessment area. Based on the food chain transmission characteristics, a calculation model of the food chain transmission characteristics of nuclides from crops to the human body is constructed. The calculation model includes: a sub-model for calculating the deposition amount of nuclides on the surface of crops, a sub-model for calculating the activity concentration of nuclides in crops, and a sub-model for calculating the dose of nuclides entering the human body through the dynamic food chain. The assessment area is divided into primary and secondary radioecological zones. Based on the input parameters in the calculation model and the food chain transmission characteristics within the primary radioecological zone, an ecological database of the primary radioecological zone is constructed. Based on the input parameters in the calculation model and the food chain transmission characteristics within the secondary radioecological zone, an ecological database of the secondary radioecological zone is constructed. Based on the ecological database and the calculation model, the dose of nuclides transferred from crops to the human body through ingestion within the assessment area is obtained.

[0035] The following sections provide detailed descriptions of each example. It should be noted that the sequence numbers of the following embodiments are not intended to limit the preferred order of the embodiments.

[0036] In this embodiment, a method for assessing the food chain consequences of a nuclear accident is provided, such as... Figure 1b As shown, the specific process of this nuclear accident food chain consequence assessment method can be as follows:

[0037] 110. Determine the assessment area and the characteristics of food chain transmission within the assessment area.

[0038] The assessment area can refer to an area where the consequences of a nuclear accident need to be prevented. The assessment area can be any area designated by humans. It may or may not contain nuclear facilities.

[0039] Food chain transmission characteristics refer to the interconnected relationships within an ecosystem where various organisms must rely on other organisms for food to sustain their own life activities. In this embodiment, food chain transmission characteristics can refer to the chain relationship from crops to humans. For example, in some embodiments, when the crop is wheat, the food chain transmission characteristics can include the pathway of wheat directly reaching humans through consumption, or the pathway of wheat reaching humans through animal products. In this embodiment, food chain transmission characteristics can be obtained by the server receiving food chain transmission characteristic information sent by the user, or they can be pre-stored in the server.

[0040] 120. Based on the characteristics of food chain transport, construct a calculation model of the characteristics of the transfer of radionuclides from crops to the human body through the food chain. The calculation model includes: a sub-model for calculating the deposition amount of radionuclides on the surface of crops, a sub-model for calculating the activity concentration of radionuclides in crops, and a sub-model for calculating the dose of radionuclides entering the human body through the dynamic food chain.

[0041] Among them, nuclides can be radioactive nuclides. In the event of a nuclear accident, radioactive materials from the reactor may be released into the surrounding environment. Among them, the main radioactive nuclides that pose a health risk include radioactive iodine, radioactive cesium, and radioactive inert gases.

[0042] Crops are the main agricultural production crops in the assessment area. Specifically, crops refer to those crops within the assessment area that require nuclide estimation. For example, in some embodiments, crops may be wheat, rice, leafy vegetables, and forage grasses.

[0043] The computational model calculates the final edible dose of a nuclide from crops through the food chain. In this embodiment, the user can input relevant data into the computational model based on the food chain transport characteristics and the input parameters required in the model to obtain the final edible dose of the nuclide from crops through the food chain. The computational model can include multiple sub-models, which can respectively calculate the amount of nuclide deposited on the surface of crops, the activity concentration of nuclide on crops, and the dose of nuclide entering the human body through the food chain.

[0044] In the embodiments of this application, such as Figure 1c As shown, methods for constructing computational models of nuclide transfer from crops to the human body based on food chain transport characteristics may include:

[0045] 121. Obtain the maximum and initial biomass of crops.

[0046] Biomass can refer to the dry weight of the aboveground parts of crops per unit area of ​​soil (kg / m²). 2 That is, the dry weight of the above-ground parts of crops (kg / m²). 2 The above-ground parts of crops refer to the portion that lies above the soil and is exposed to the air.

[0047] Maximum biomass refers to the weight of a target crop at maturity. In some embodiments, maximum biomass can be obtained through prior measurement. Maximum biomass can also be obtained through calculation. That is, methods for obtaining the maximum biomass of a crop may further include:

[0048] Obtain the unit yield of crops and the ratio of maximum biomass to yield;

[0049] A sub-model for calculating maximum biomass is constructed based on unit yield and proportion factors; among which...

[0050] The sub-model for calculating maximum biomass is expressed as follows:

[0051]

[0052] Among them, HI i yield is the scaling factor. i This refers to the output per unit.

[0053] The scaling factor is the available data, and it varies depending on the type of crop.

[0054] Yield can refer to the amount of a harvested portion of a crop. For example, in some embodiments, when the crop is wheat, the crop yield refers to the amount of wheat grains harvested, excluding inedible parts such as straw. Yield per unit area refers to the weight of agricultural products harvested per unit of land area.

[0055] 122. Based on the maximum and initial biomass of the crop, determine the growth function of the crop's growth time and current biomass.

[0056] The growth function can refer to the relationship between crop biomass and growth time, that is, the function that determines the biomass of a crop during a certain growth period.

[0057] In this embodiment of the application, the method for determining the growth function of a crop based on its maximum biomass and initial biomass includes:

[0058] According to the formula:

[0059]

[0060] Determine the growth function of crops;

[0061] Where, i represents crops; B i,max The maximum biomass of crops, kg*m -2 B i,0 The initial biomass of the crop, kg*m -2 ; t represents the growing time of the crop, d; k i B is the crop growth rate constant; i (t) represents the current biomass of the crop at growth time t.

[0062] The growth period refers to the time from the sowing time of the crop to the occurrence of the nuclear accident. The occurrence time of the nuclear accident refers to the time of a nuclear leak or other accident. When estimating the nuclides in crops, the occurrence time of the nuclear accident is generally after the sowing time. In this embodiment, the growth period of the crop at the time of the nuclear accident is obtained as the time difference between the occurrence time of the nuclear accident and the sowing time, based on the sowing time of the crop and the occurrence time of the nuclear accident. For example, if wheat is sown on April 1st and the nuclear accident occurs on May 2nd, then the growth period for leafy green vegetables is 31 days.

[0063] The growth rate refers to the growth rate of the total dry matter weight of a target crop per unit area of ​​land over a certain period of time. In some embodiments, the crop growth rate constant can be obtained directly from a reference.

[0064] Current biomass can refer to the dry weight of the aboveground parts of a crop at the time of radionuclide measurement or at the time of a nuclear accident.

[0065] 123. Based on the growth function, construct a sub-model for calculating the deposition amount of nuclides on the surface of crops.

[0066] The term "crop surface" can refer to the above-ground part of the crop. The above-ground part of the crop refers to the plant body growing above the ground surface. In some embodiments, the above-ground part of the crop can include the stems, branches, and leaves of the crop; while the underground part of the crop, corresponding to the above-ground part, can be the roots of the crop planted underground.

[0067] The sedimentation calculation sub-model is used to calculate the sedimentation amount on the aboveground parts of crops. Specifically, determining the sedimentation amount of nuclides on the aboveground parts of crops refers to determining the sedimentation amount on parts other than the roots of the crop planted underground. This sedimentation calculation sub-model can determine the sedimentation amount of nuclides on the crop surface by using the dry sedimentation cutoff and wet sedimentation cutoff shares on the crop surface, as well as by calculating the measured dry and wet sedimentation amounts.

[0068] Among them, deposition amount refers to the amount of nuclide deposited on each unit area of ​​crops.

[0069] Crops, through the adsorption effect of their leaf surfaces, can intercept radionuclides from the air that are settling to the ground. The more lush the foliage (the greater the biomass), the stronger the interception effect. Dry deposition interception and wet deposition interception refer to the ratio of the amount of radionuclides intercepted on the leaf surface to the total amount of radionuclides deposited on the ground. Specifically, dry deposition interception refers to the proportion of radionuclides intercepted by crops from the atmosphere; wet deposition interception refers to the proportion of radionuclides intercepted by crops during rainfall.

[0070] Dry deposition refers to the amount of nuclei deposited in the assessment area through atmospheric diffusion or other means. In some embodiments, dry deposition can be obtained directly through measurement.

[0071] Wet deposition refers to the amount of nuclides deposited during rainfall within the assessment area. In some embodiments, wet deposition can be obtained directly through measurement.

[0072] In this embodiment of the application, the method for constructing a sub-model for calculating the deposition amount of nuclides on the surface of crops based on the growth function includes:

[0073] Based on the growth function, sub-models for calculating the dry sediment cutoff share and the wet sediment cutoff share of crops are constructed; among them...

[0074] The sub-model for calculating the dry sediment retention share is expressed as follows:

[0075] f d,i =1-exp[-α*B i (t)];

[0076] Among them, f d,i The dry sediment retention fraction of crops; α is the leaf retention constant; B i (t) represents the current biomass of the crop at time t.

[0077] The leaf surface retention constant can be an empirical constant; for example, in some embodiments, the leaf surface retention constant can be (2.3–3.3 m). 2 kg -l ).

[0078] The sub-model for calculating the wet sediment retention share is expressed as follows:

[0079]

[0080] Among them, f w，i The share of wet sediment retention for crops; S iR is the wet retention constant factor for crops, representing the water storage capacity of crop leaves, in mm; R is the rainfall, in mm*h. -1 .

[0081] In some embodiments, the wet retention constant factor can be obtained by querying detection and then input by the user into the nuclear accident food chain consequences assessment device.

[0082] Based on the dry sedimentation cutoff calculation sub-model and the wet sedimentation cutoff calculation sub-model, a sub-model for calculating the deposition amount of nuclides on the surface of crops was obtained; among them,

[0083] The sub-model for calculating the deposition amount of nuclides on the surface of crops is expressed as follows:

[0084] Dep v，i =Dep d，i *f d，i +Dep w，i *f w，i ;

[0085] Among them, Dep v，i Bq*m represents the amount of nuclide deposited on crops. -2 ;Dep d，i Bq*m represents the dry deposition amount of the nuclide on the target crop. -2 ;Dep w，i Bq*m represents the wet deposition amount of the nuclide on crops. -2 ;f d，i The cutoff percentage of nuclides for dry deposition on crops; f w，i The percentage of nuclides retained by wet deposition on crops.

[0086] 124. Based on the sub-model for calculating the deposition amount of nuclides on the surface of crops, construct a sub-model for calculating the activity concentration of nuclides on crops.

[0087] Activity concentration can refer to the radioactivity per unit surface area on crops. Activity refers to the average number of atomic decays per second. The physical quantity that measures the strength of a radioactive isotope is called the activity of a radioactive substance.

[0088] In some embodiments, the method for constructing a sub-model for calculating the activity concentration of nuclides on crops may include:

[0089] Based on the amount of nuclide deposition in the aboveground parts of crops, a sub-model for calculating the activity concentration of nuclide in the aboveground parts of crops is constructed.

[0090] In some embodiments, there can be multiple sub-models for calculating the activity concentration of nuclides in the aboveground parts of crops. Different sub-models can be constructed according to different types of crops.

[0091] For example, in some embodiments, when the crop is a forage crop:

[0092] A sub-model for calculating the activity concentration of nuclides in the aboveground parts of crops can be:

[0093]

[0094] Among them, C g,i (t) represents the activity resulting from pasture surface deposition, in Bq*kg. -1 ;Dep g The amount of nuclide deposited on the surface of pasture, Bq*m -2 yield g The yield of forage grass per unit area, kg*m -2 ;a represents the share of forage crops transferred to underground roots; λ b The growth dilution rate (d) represents the dilution effect of growth on the activity of forage crops. -1 ;λ w Let d be the weather decay rate. -1 ;λ t d represents the radioactivity decay rate of the nuclide. -1 ;λ r d represents the decay rate caused by nuclide transfer to the root. -1 .

[0095] For example, in some embodiments, when the crop is a leafy green vegetable:

[0096] A sub-model for calculating the activity concentration of nuclides in the aboveground parts of crops can be:

[0097]

[0098] Among them, C l,i Activity concentration resulting from deposition on crop surfaces, in Bq*kg -1 ;Dep i This represents the deposition amount on the aboveground parts of leafy vegetables (i.e., the surface of leafy vegetables), in Bq*m. -2 yield i For yield, kg*m -2 Δt is the time interval from the occurrence of the accident to the harvest of the crop, d.

[0099] For example, in some embodiments, when the target crop is a cereal or root crop:

[0100] A sub-model for calculating the activity concentration of nuclides in the aboveground parts of crops can be:

[0101]

[0102] Among them, C l,i Activity concentration (Bq*kg) resulting from deposition on the aboveground parts of crops (i.e., the crop surface). -1 ; Dep i The surface deposition amount of leafy green vegetables, Bq*m -2 yield i For yield, kg*m -2 ;TF i It is the transfer parameter for the transfer of nuclides from the aboveground parts of crops (i.e., the surface of crops) to the fruit parts.

[0103] In some embodiments, a calculation sub-model for the activity concentration of nuclides in the soil of the assessment area can be constructed based on the total ground deposition of nuclides in the soil of the assessment area.

[0104] In some embodiments, the sub-model for calculating the activity concentration of nuclides in the soil of the assessment area can be:

[0105]

[0106] The activity concentration of nuclides in the soil of the assessment area can be obtained by using a calculation sub-model to assess the activity concentration of nuclides in the soil of the assessment area.

[0107] Among them, C s (t) represents the activity concentration of nuclides in the soil of the assessment area, in Bq*kg. -1 ;Dep s To assess the amount of nuclides deposited in the soil of the region, Bq*m -2 The amount of nuclide deposited in the soil can be obtained by sampling and measuring the soil; L represents the soil thickness of the assessment area, which may be 25 cm in some embodiments; δ represents the soil density of the assessment area, in kg*m³. -3 ;a s d represents the soil fixation rate of nuclides. -1 b1 and b2 are the leaching factors of radionuclides from surface soil and deep soil, respectively, and d -1 ;λ r is the radioactivity decay constant of the nuclide.

[0108] Based on the calculation sub-models for the activity concentration of nuclides in the soil of the assessment area, a calculation sub-model for the activity concentration of nuclides in the underground part of the target crop is constructed.

[0109] In some embodiments, the sub-model for calculating the activity concentration of the nuclide in the underground part of the target crop is as follows:

[0110] C r,i (t)=TF i ·C s (t);

[0111] Among them, C r,i (t) represents the concentration of the nuclide in the underground parts of the crop (i.e., the crop roots); TF i It represents the transfer parameters of nuclides from soil to the underground parts of crops (i.e., the roots of crops).

[0112] Based on the sub-models for calculating the activity concentration of nuclides in the aboveground parts of crops and the sub-models for calculating the activity concentration of nuclides in the underground parts of target crops, a sub-model for calculating the activity concentration of nuclides in target crops is constructed.

[0113] In some embodiments, the sub-model for calculating the activity concentration of nuclides in the target crop can be:

[0114] C i (t)=C l,i (t)+C r,i (t);

[0115] Among them, C i (t) represents the activity concentration of nuclides on crops, in Bq*kg. -1 C l,i (t) represents the activity concentration resulting from deposition on the aboveground parts of the crop (i.e., the surface of the target crop), in Bq*kg. -1 C r,i (t) represents the activity concentration resulting from absorption by crop roots, in Bq*kg. -1 .

[0116] 125. Based on the sub-model for calculating the activity concentration of nuclides on crops, construct a dose calculation sub-model for nuclides entering the human body through the food chain.

[0117] The dose calculation sub-model for radionuclides entering the human body via the food chain can include a calculation sub-model:

[0118] Sub-model for calculating the total activity of an individual consuming k types of food: Among them, V i (t) represents the intake rate of food type i;

[0119] Sub-model for calculating ingested dose: Where g is an age-based ingestion dose conversion factor;

[0120] For the calculation sub-model of the collective dose of plant k: Among them, PR k It is the treatment factor for plant K, g ing The annual ingestion dose conversion factor.

[0121] 130. The assessment area is divided into primary and secondary radioecological zones.

[0122] In this embodiment of the application, the method for dividing the assessment area into primary and secondary radioecological zones may include:

[0123] Determine the location of the core facilities in the assessment area;

[0124] The assessment area is divided into regions centered on the location of the nuclear facility, and a first target area with nuclear facilities and a second target area without nuclear facilities are determined. The first target area is a primary radiological ecological zone.

[0125] The second target area is divided into regions based on the pre-set agricultural zoning, resulting in at least one secondary radioecological zone.

[0126] In this embodiment of the application, the method for dividing the assessment area into primary and secondary radioecological zones includes:

[0127] The assessment area is designated as a primary radiation ecological zone based on the pre-defined agricultural zoning.

[0128] Determine the location of the core facilities in the assessment area;

[0129] The secondary radioecological zone is delineated based on the location of the nuclear facility or the point of interest.

[0130] The primary radiological ecological zone is an area containing nuclear facilities. It can be defined by a predetermined radius centered on the nuclear facility. This predetermined radius can be artificially set; for example, in some embodiments, it can be 120 kilometers. The primary radiological ecological zone is defined as the area within the assessment region centered on the nuclear facility with a predetermined radius of 120 kilometers.

[0131] The secondary radioactive ecozones refer to all areas within the assessment region excluding the primary radioactive ecozones. There can be multiple secondary radioactive ecozones, which can be divided into different regions within the second target area based on a pre-defined agricultural zoning. This pre-defined agricultural zoning can be based on different geographical locations, climatic conditions, ecological conditions, and agricultural production characteristics.

[0132] 140. Based on the input parameters in the calculation model and the food chain transport characteristics within the primary radioactive ecoregion, construct an ecological database for the primary radioactive ecoregion.

[0133] 150. Based on the input parameters in the calculation model and the food chain transport characteristics of the secondary radioactive ecozone, construct an ecological database for the secondary radioactive ecozone.

[0134] The food chain transmission characteristic is that crops from the primary radioactive ecozone enter the human food chain. The food chain transmission characteristic is that crops from the secondary radioactive ecozone enter the human food chain.

[0135] Both the primary and secondary radioactive ecoregion ecological databases serve as input parameters in the computational model. Since the composition of the first and second food chain transmission characteristics may differ, and the environmental parameters within the primary and secondary radioactive ecoregions also differ, the values ​​of input parameters of the same type may differ between the primary and secondary radioactive ecoregion ecological databases. In some embodiments, the input parameters for the primary and secondary radioactive ecoregion ecological databases may include characteristic parameters of crops, animal products, feed, food, agricultural products, environmental parameters, and diets for different age groups of the target population.

[0136] Agricultural products can include forage grass, wheat, corn, rice, sorghum, millet, oats, sweet potatoes, potatoes, radishes, leafy vegetables, tomatoes, peanuts, beans, berries, and fruits. Animal products can include beef, mutton, pork, chicken, milk, goat milk, and eggs. Feed can include corn, beans, wheat bran, beets, and forage grass. Food can include wheat flour, rice, corn, millet, oats, sweet potatoes, potatoes, radishes, peanuts, leafy vegetables, root vegetables, fruit vegetables, fruits, milk, goat milk, beef, mutton, pork, chicken, and eggs.

[0137] When the agricultural product is a crop, its characteristic parameters include growth period, harvest period, harvest ratio, and yield per unit area. When the agricultural product is feed, its characteristic parameters include feed composition, animal feeding rate, and animal growth time. When the agricultural product is an animal product, its characteristic parameters include biological half-life and half-life parameters. When the agricultural product is food, its characteristic parameters include diet composition, dietary modification factors, food storage time, and food treatment factors, where the food treatment factors include product yield and yield ratio.

[0138] Environmental parameters can include rainfall.

[0139] The recipes for different age groups of the target audience can refer to recipes for target audiences aged 1, 5, 10, 15, and adults (18 years or older).

[0140] 160. Based on the ecological database and computational model, the dose of nucleotides in the assessment area transferred from crops to the human body through ingestion was obtained.

[0141] The assessment area refers to the region where nuclide estimation is pending.

[0142] In this embodiment of the application, the target ecological database corresponding to the assessment area can be determined by determining the location of the assessment area in the primary and secondary radioecological zones.

[0143] In this embodiment of the application, before obtaining the agent for assessing the translocation of regional nucleotides from crops to humans via ingestion based on an ecological database and a computational model, the method further includes:

[0144] The evaluation area is divided into grids, and the food chain is calculated for each grid.

[0145] For grid points located within the secondary radioactive ecozone, the parameters from the secondary radioactive ecozone ecological parameter library are used in the model calculation; for grid points located outside the secondary ecozone, the parameters from the primary radioactive ecozone ecological parameter library are used.

[0146] In this process, after determining the target ecological database corresponding to the assessment area, the input parameters from the target ecological database are input into the calculation model to obtain the dose of nucleotides transferred from crops to the human body through ingestion in the assessment area.

[0147] The method for estimating the activity concentration of radionuclides in this invention will be described below with reference to a specific application scenario.

[0148] Please see Figure 2 This is a schematic diagram illustrating an example of the application of the nuclide activity concentration estimation method in an experimental scenario according to an embodiment of the present invention. The nuclide activity concentration estimation method is applied to a server and includes:

[0149] 201. Construct a computational model for food chain transmission characteristics.

[0150] In the existing ECOSYS-87 model, in order to reflect the real ecological environment characteristics during a nuclear accident, a leaf surface index function of crops that changes over time is introduced to calculate the amount of sediment. However, since the leaf surface index is affected by factors such as soil, climate, terrain altitude, and seed variety, the amount of sediment calculated based on the leaf surface index often has a large error.

[0151] Based on this, the embodiments of this application improve the method of calculating sedimentation amount by leaf index based on the model of ECOSYS-87 to calculate biomass according to the growth characteristics of the target crop and the growth stage of the target crop, and calculate the dry sedimentation cutoff share and wet sedimentation cutoff share based on the biomass.

[0152] In this embodiment, the method for calculating the deposition amount is as follows: the maximum biomass, initial biomass, and growth rate of the target crop are obtained through sampling and measurement; and a growth function of the target crop is constructed based on the maximum biomass, initial biomass, and growth rate of the target crop. And based on the growth function B of the target crop i (t), determine the current biomass of the target crop. Based on the current biomass B of the target crop. i (t), determining the dry deposition cutoff fraction f of the nuclide in the aboveground parts of the target crop. d,i and wet sediment retention share f w，i .

[0153] in,

[0154] f d,i =1-exp[-α*B i (t)];

[0155]

[0156] The amount of dry sediment (Dep) on the ground in the post-nuclear accident assessment area was determined by measurement or atmospheric diffusion model simulation. d，i and wet sediment amount Dep w，i .

[0157] According to the calculation model:

[0158] Dep v，i =Dep d，i *f d，i +Dep w，i *f w，i ;

[0159] The amount of nuclide deposited in the aboveground parts of the target crop was calculated.

[0160] The amount of nuclide deposition in soil refers to the amount of nuclide that falls into the soil within the assessment area and is deposited. The amount of nuclide deposition in soil can be obtained by sampling and measuring the soil.

[0161] In some embodiments, the activity of the target crop is calculated based on ecological parameters of the primary or secondary radioecological zone in which the target crop is located. The activity of the target crop comes from direct deposition on the plant leaves and root absorption caused by soil deposition in the roots; the activity of the target crop is the sum of these two.

[0162] In this embodiment of the application, it can be achieved through Calculate the activity concentration C of the nuclide in the aboveground parts of the target crop. i，l (t);

[0163] It can be done through C s (t)=(Dep s / L*δ)*{a s *exp(-b1*t)+(1-a s )*exp9- b2*t)}*exp(-λ r *t), calculate the activity concentration C of the nuclide in the soil of the assessment area. s (t);

[0164] It can be done through C i，r =TF i *C s (t), calculate the active concentration of the nuclide in the underground part of the target crop;

[0165] It can be done through C i (t)=C i，l (t)+C i，r (t) is used to calculate the activity concentration of nuclides on the target crop.

[0166] In some embodiments, diets for different age groups or specific populations can be established based on primary or secondary radioecological zones. The total activity of the food and the ingested dose can be calculated based on the diet. The ingested dose of the target crop obtained in step 203 can be determined by using the crop, its characteristic parameters, environmental parameters, agricultural products, and the diets of the target population for different age groups.

[0167] In this embodiment of the application, it can be achieved through The total activity of an individual consuming k types of food is calculated, where V i (t) represents the intake rate of food type i;

[0168] It can be done Calculate the ingested dose, where g is an age-based ingested dose conversion factor;

[0169] It can be done Calculate the collective dose for plant k, where PR k It is the treatment factor for plant K, g ing The annual ingestion dose conversion factor.

[0170] 202. Based on the location of the core facilities in the assessment area and the principles of agricultural zoning, the assessment area is divided into primary and secondary radioecological zones.

[0171] 203. Collect characteristic parameters, environmental parameters, and diets of different age groups of the target population for crops, animal products, feed, food, and agricultural products in the primary and secondary radioecological zones. Based on the calculation model of food chain transmission characteristics, construct ecological databases for the primary and secondary radioecological zones.

[0172] Agricultural products can include forage grass, wheat, corn, rice, sorghum, millet, oats, sweet potatoes, potatoes, radishes, leafy vegetables, tomatoes, peanuts, beans, berries, and fruits. Animal products can include beef, mutton, pork, chicken, milk, goat milk, and eggs. Feed can include corn, beans, wheat bran, beets, and forage grass. Food can include wheat flour, rice, corn, millet, oats, sweet potatoes, potatoes, radishes, peanuts, leafy vegetables, root vegetables, fruit vegetables, fruits, milk, goat milk, beef, mutton, pork, chicken, and eggs.

[0173] When the agricultural product is a crop, the characteristic parameters to be collected include growth period, harvest period, harvest ratio, and yield per unit area. When the agricultural product is feed, the characteristic parameters to be collected include feed list, animal feeding rate, and animal growth time. When the agricultural product is an animal product, the characteristic parameters to be collected include biological half-life and half-life parameters. When the agricultural product is food, the characteristic parameters to be collected include diet list, dietary modification factors, food storage time, and food treatment factors, where the food treatment factors include product yield and yield ratio.

[0174] Environmental parameters can include rainfall.

[0175] The recipes for different age groups of the target audience can refer to recipes for target audiences aged 1, 5, 10, 15, and adults (18 years or older).

[0176] In some embodiments, a database can be established that includes the collected data on crops, crop characteristic parameters, environmental parameters, agricultural products, agricultural product characteristic parameters, and recipes for different age groups of the target population within the assessment area, in order to provide data for subsequent steps.

[0177] 204. Determine the assessment area and its location after a nuclear accident occurs;

[0178] 205. Based on the location of the assessment area, determine the target database corresponding to the assessment area;

[0179] 206. Based on the target database and the computational model of food chain transport characteristics, the dose of cinnamon in the assessment area transferred from crops to the human body via ingestion was calculated.

[0180] In this embodiment, the nuclear accident food chain consequence assessment device can first construct a computational model of radionuclide transfer from crops to the human body based on the dynamic food chain situation in the assessment area. Then, it determines the primary and secondary radioecological zones in the assessment area and establishes ecological databases for the primary and secondary radioecological zones to facilitate data updates and storage. After a nuclear accident occurs, by determining the target ecological database relative to the assessment area and directly calling the data in the ecological database, it can quickly assess the consequences of the nuclear accident and improve the accuracy of the nuclear accident food chain consequence assessment, thus meeting the needs of use.

[0181] Furthermore, in this embodiment, the deposition amount of the aboveground parts of the target crop is calculated by obtaining the biomass of the target crop, which is not easily affected by environmental factors. The activity concentration of nuclides on the target crop is then calculated based on this deposition amount. This replaces the traditional method of calculating deposition amount using a leaf surface exponential function, which is easily affected by light, water, and soil nutrient status. This method avoids the inaccuracy of the deposition amount obtained from the traditional method, which results in inaccurate calculations and consequently affects the accuracy of the nuclide activity concentration. Therefore, the accuracy of the estimated nuclide activity concentration is improved, meeting the needs of practical application. Additionally, by dividing the evaluation area, the evaluation area can be better identified, leading to a more accurate estimation of the nuclide concentration.

[0182] To better implement the above methods, this application also provides a nuclear accident food chain consequence assessment device. This device can be integrated into an electronic device, such as a terminal or server. The terminal can be a mobile phone, tablet computer, smart Bluetooth device, laptop computer, or personal computer; the server can be a single server or a server cluster consisting of multiple servers.

[0183] For example, in this embodiment, the method of this application embodiment will be described in detail by taking the specific integration of the nuclide activity concentration estimation system into the server as an example.

[0184] For example, such as Figure 3 As shown, the nuclear accident food chain consequence assessment device may include:

[0185] The determining unit 301 is used to determine the evaluation area and the food chain transmission characteristics within the evaluation area;

[0186] The first building unit 302 is used to build a dynamic food chain calculation model of the transfer of radionuclides from crops to the human body based on the food chain transport characteristics. The calculation model includes: a sub-model for calculating the deposition amount of radionuclides on the surface of crops, a sub-model for calculating the activity concentration of radionuclides in crops, and a sub-model for calculating the dose of radionuclides entering the human body through the food chain.

[0187] The first obtaining unit 303 is used to perform regional division processing on the assessment area to obtain the primary radioecological zone and the secondary radioecological zone;

[0188] The second building unit 304 is used to build an ecological database of the primary radiation ecoregion based on the input parameters in the calculation model and the food chain transport characteristics within the primary radiation ecoregion.

[0189] The third building unit 305 is used to build an ecological database of the secondary radioactive ecozone based on the input parameters in the calculation model and the food chain transmission characteristics of the secondary radioactive ecozone;

[0190] The second obtaining unit 306 is used to obtain the dose assessment area of ​​the nucleoside in the region to be assessed, which is transferred from crops to the human body through ingestion, based on the ecological database and the calculation model.

[0191] In some embodiments of this application, the first building unit 302 is further specifically used for:

[0192] To obtain the maximum and initial biomass of crops;

[0193] Based on the maximum and initial biomass of the crop, determine the growth function of the crop's growth time and current biomass.

[0194] Based on the growth function, a sub-model for calculating the deposition amount of nuclides on the surface of crops is constructed;

[0195] Based on the sub-model for calculating the deposition amount of nuclides on the surface of crops, a sub-model for calculating the activity concentration of nuclides on crops is constructed.

[0196] Based on the activity concentration calculation model of nuclides on crops, a dose calculation model is constructed for nuclides entering the human body through the food chain.

[0197] In some embodiments of this application, the first building unit 302 is further specifically used for:

[0198] Obtain the unit yield of crops and the ratio of yield to maximum biomass;

[0199] A sub-model for calculating maximum biomass is constructed based on unit yield and proportion factors; among which...

[0200] The sub-model for calculating maximum biomass is expressed as follows:

[0201]

[0202] Among them, HI i yield is the scaling factor. i This refers to the output per unit.

[0203] In some embodiments of this application, the first building unit 302 is further specifically used for:

[0204] According to the formula:

[0205]

[0206] Determine the growth function of crops;

[0207] Where i represents crops; B i,max B is the maximum biomass of crops. i,0 t represents the initial biomass of the crop; t represents the growth time of the crop; k represents the initial biomass of the crop. i is the growth rate constant of crops.

[0208] In some embodiments of this application, the first building unit 302 is further specifically used for:

[0209] Based on the growth function, sub-models for calculating the dry sediment cutoff share and the wet sediment cutoff share of crops are constructed; among them...

[0210] The sub-model for calculating the dry sediment retention share is expressed as follows:

[0211] f d,i =1-exp[-α*B i (t)];

[0212] Among them, f d,i The dry sediment retention fraction of crops; α is the leaf retention constant; B i (t) represents the current biomass of the crop at time t;

[0213] The sub-model for calculating the wet sediment retention share is expressed as follows:

[0214]

[0215] Among them, f w，i The share of wet sediment retention for crops; S i R is the wet retention constant factor for crops, which refers to the water storage capacity of crop leaves; R is the rainfall.

[0216] Based on the dry sedimentation cutoff calculation sub-model and the wet sedimentation cutoff calculation sub-model, a sub-model for calculating the deposition amount of nuclides on the surface of crops was obtained; among them,

[0217] The sub-model for calculating the deposition amount of nuclides on the surface of crops is expressed as follows:

[0218] Dep v，i =Dep d，i *f d，i +Dep w，i *f w，i ;

[0219] Among them, Dep v，i Dep represents the amount of nuclide deposited on the surface of crops. d，i Dep represents the dry deposition amount of nuclides on crops. w，i This represents the amount of nuclide deposited on crops in wet conditions.

[0220] In some embodiments of this application, the first obtaining unit 303 is further specifically used for:

[0221] Determine the location of the core facilities in the assessment area;

[0222] The assessment area is divided into regions centered on the location of the nuclear facility, and a first target area with nuclear facilities and a second target area without nuclear facilities are determined. The first target area is a primary radiological ecological zone.

[0223] The second target area is divided into regions based on the pre-set agricultural zoning, resulting in at least one secondary radioecological zone.

[0224] In some embodiments of this application, the second obtaining unit 306 is further specifically used for:

[0225] The evaluation area is divided into grids, and the food chain is calculated for each grid.

[0226] For grid points located within the secondary radioactive ecozone, the parameters from the secondary radioactive ecozone ecological parameter library are used in the model calculation; for grid points located outside the secondary ecozone, the parameters from the primary radioactive ecozone ecological parameter library are used.

[0227] In practice, each of the above units can be implemented as an independent entity or can be arbitrarily combined to be implemented as the same or several entities. For the specific implementation of each of the above units, please refer to the previous method embodiments, which will not be repeated here.

[0228] As can be seen from the above, the nuclear accident food chain consequence assessment device of this embodiment consists of a determination unit 301, used to determine the assessment area and the food chain transmission characteristics within the assessment area; a first construction unit 302, used to construct a dynamic food chain calculation model of radionuclide transfer from crops to the human body based on the food chain transmission characteristics, wherein the calculation model includes: a sub-model for calculating the amount of radionuclide deposition on the surface of crops, a sub-model for calculating the radionuclide activity concentration of crops, and a sub-model for calculating the dose of radionuclide entering the human body through the food chain; a first obtaining unit 303, used to perform regional division processing on the assessment area to obtain a primary radioecological zone and a secondary radioecological zone; and a second... Construction unit 304 is used to construct an ecological database of the primary radioactive ecological zone based on the input parameters in the calculation model and the food chain transmission characteristics of the primary radioactive ecological zone; the third construction unit 305 is used to construct an ecological database of the secondary radioactive ecological zone based on the input parameters in the calculation model and the food chain transmission characteristics of the secondary radioactive ecological zone; the second obtaining unit 306 is used to obtain the dose of nuclear radionuclides transferred from crops to the human body through ingestion in the area to be evaluated based on the ecological database and the calculation model, so as to realize the need for rapid assessment of the consequences of nuclear accidents and improve the accuracy of the assessment of the food chain consequences of nuclear accidents, thus meeting the needs of use.

[0229] This application also provides an electronic device, which can be a terminal, a server, or other similar device. The terminal can be a mobile phone, tablet computer, smart Bluetooth device, laptop computer, personal computer, etc.; the server can be a single server or a server cluster composed of multiple servers, etc.

[0230] In some embodiments, the nuclear accident food chain consequence assessment device can also be integrated into multiple electronic devices. For example, the nuclide activity concentration estimation system can be integrated into multiple servers, and the nuclide activity concentration estimation method of this application can be implemented by multiple servers.

[0231] In this embodiment, the electronic device will be described in detail as a terminal, for example, such as... Figure 4 As shown, it illustrates the structural diagram of the terminal involved in the embodiments of this application, specifically:

[0232] The terminal may include components such as a processor 401 with one or more processing cores, a memory 402 with one or more computer-readable storage media, a power supply 403, an input module 404, and a communication module 405. Those skilled in the art will understand that... Figure 4 The terminal structure shown does not constitute a limitation on the terminal and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Wherein:

[0233] The processor 401 is the control center of the terminal, connecting various parts of the terminal via various interfaces and lines. It executes various functions and processes data by running or executing software programs and / or modules stored in the memory 402, and by calling data stored in the memory 402. In some embodiments, the processor 401 may include one or more processing cores; in some embodiments, the processor 401 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may also not be integrated into the processor 401.

[0234] The memory 402 can be used to store software programs and modules. The processor 401 executes various functional applications and data processing by running the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the terminal, etc. In addition, the memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 with access to the memory 402.

[0235] The terminal also includes a power supply 403 that supplies power to the various components. In some embodiments, the power supply 403 can be logically connected to the processor 401 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 403 may also include one or more DC or AC power supplies, recharging systems, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0236] The terminal may also include an input module 404, which can be used to receive input numeric or character information, and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0237] The terminal may also include a communication module 405. In some embodiments, the communication module 405 may include a wireless module, through which the terminal can perform short-range wireless transmission, thereby providing users with wireless broadband internet access. For example, the communication module 405 can be used to help users send and receive emails, browse web pages, and access streaming media.

[0238] Although not shown, the terminal may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 401 in the terminal loads the executable files corresponding to the processes of one or more applications into the memory 402 according to the following instructions, and the processor 401 runs the applications stored in the memory 402 to realize various functions.

[0239] In some embodiments, a computer program product is also provided, comprising a computer program or instructions that, when executed by a processor, implement the steps in any of the above-described methods for assessing the consequences of a nuclear accident food chain.

[0240] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0241] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0242] Therefore, embodiments of this application provide a computer-readable storage medium storing a plurality of instructions that can be loaded by a processor to execute steps in any of the nuclear accident food chain consequence assessment methods provided in embodiments of this application.

[0243] The storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0244] According to one aspect of this application, a computer program product or computer program is provided, the computer program product or computer program including computer instructions stored in a computer-readable storage medium.

[0245] Since the instructions stored in the storage medium can execute the steps in any of the nuclear accident food chain consequence assessment methods provided in the embodiments of this application, the beneficial effects that any of the nuclear accident food chain consequence assessment methods provided in the embodiments of this application can achieve can be realized, as detailed in the preceding embodiments, and will not be repeated here.

[0246] The foregoing has provided a detailed description of a method, system, storage medium, and computer program product for assessing the food chain consequences of a nuclear accident, as provided in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are only for the purpose of helping to understand the method and its core ideas. At the same time, those skilled in the art will recognize that there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for assessing the food chain consequences of a nuclear accident, characterized in that: The method includes: Determine the assessment area and the food chain transport characteristics within the assessment area; Based on the food chain transport characteristics, a food chain transport characteristic calculation model for the transfer of radionuclides from crops to the human body is constructed. The calculation model includes: a sub-model for calculating the deposition amount of radionuclides on the surface of crops, a sub-model for calculating the radionuclide activity concentration in crops, and a sub-model for calculating the dose of radionuclides entering the human body through a dynamic food chain. The assessment area is divided into primary and secondary radioecological zones. Based on the input parameters in the calculation model and the food chain transport characteristics within the primary radiation ecoregion, an ecological database of the primary radiation ecoregion is constructed. Based on the input parameters in the calculation model and the food chain transport characteristics of the secondary radioactive ecozone, an ecological database of the secondary radioactive ecozone is constructed. Based on the ecological database and the calculation model, the dose of nucleotides in the assessment area transferred from the crops to the human body via ingestion is obtained; The steps for constructing the sedimentation calculation sub-model include: Based on the growth function, sub-models for calculating the dry sedimentation cutoff share and the wet sedimentation cutoff share of the crop are constructed; the growth function is determined based on the maximum biomass and initial biomass of the crop; wherein... The sub-model for calculating the dry sediment retention ratio is expressed as follows: ； in, The share of dry sediment retention for crops; This is the leaf surface rejection constant; For crops in time The current biomass; The sub-model for calculating the wet sediment retention ratio is expressed as follows: ； in, The share of wet sediment retention for crops; R is the wet retention constant factor for crops, which refers to the water storage capacity of crop leaves; R is the rainfall. Based on the dry deposition cutoff calculation sub-model and the wet deposition cutoff calculation sub-model, a sub-model for calculating the deposition amount of the nuclide on the crop surface is obtained; wherein, The sub-model for calculating the deposition amount of nuclides on the surface of crops is expressed as follows: ； in, This represents the amount of radionuclides deposited on the surface of crops. This represents the dry deposition amount of the nuclide on crops; This represents the amount of wet deposition of nuclides on crops.

2. The method according to claim 1, characterized in that, Based on the food chain transport characteristics, a computational model is constructed for the transfer of nuclides from the crops to the human body, including: Obtain the maximum and initial biomass of the crop; Based on the maximum and initial biomass of the crop, determine the growth function of the crop's growth time and current biomass. Based on the growth function, a sub-model for calculating the deposition amount of the nuclide on the surface of crops is constructed; Based on the sub-model for calculating the deposition amount of the nuclide on the surface of the crop, a sub-model for calculating the activity concentration of the nuclide on the crop is constructed. Based on the activity concentration sub-model of the nuclides on the crops, a dose calculation sub-model is constructed for the nuclides to enter the human body through the food chain transport characteristics.

3. The method according to claim 2, characterized in that, Obtaining the maximum biomass of the crop includes: Obtain the unit yield of the crop and the ratio of the yield to the maximum biomass; Based on the unit yield and the ratio factor, a calculation sub-model for the maximum biomass is constructed; wherein, The sub-model for calculating maximum biomass is described as follows: ； in, The scaling factor; The unit output is the stated output.

4. The method according to claim 2, characterized in that, The step of determining the growth function of the crop based on its maximum and initial biomass includes: According to the formula: ； Determine the growth function of the crop; in, Used to refer to crops; The maximum biomass of crops; The initial biomass of crops; The growing season for crops; is the growth rate constant of crops.

5. The method according to claim 1, characterized in that, The process of dividing the assessment area into primary and secondary radioecological zones includes: The assessment area is designated as a primary radiation ecological zone based on the pre-defined agricultural zoning. Determine the location of the core facilities in the assessment area; A secondary radioecological zone is delineated centered on the location of the nuclear facility or on the point of interest.

6. The method according to claim 5, characterized in that, Before obtaining the dose of cinnamon transferred from the crop to the human body via ingestion in the assessment area based on the ecological database and the computational model, the method further includes: The evaluation area is divided into grids, and a food chain is calculated for each grid. For grid points located within the secondary radioactive ecozone, the parameters from the secondary radioactive ecozone ecological parameter library are used in the model calculation; for grid points located outside the secondary ecozone, the parameters from the primary radioactive ecozone ecological parameter library are used.

7. A device for assessing the food chain consequences of a nuclear accident, characterized in that, include: A determining unit is used to determine the evaluation area and the food chain transport characteristics within the evaluation area; The first construction unit is used to construct a food chain transport characteristic calculation model for the transfer of radionuclides from crops to the human body based on the food chain transport characteristics. The calculation model includes: a sub-model for calculating the deposition amount of radionuclides on the surface of crops, a sub-model for calculating the activity concentration of radionuclides in crops, and a sub-model for calculating the dose of radionuclides entering the human body through the dynamic food chain. The first obtaining unit is used to perform regional division processing on the assessment area to obtain a primary radioecological zone and a secondary radioecological zone; The second construction unit is used to construct an ecological database of the primary radiation ecoregion based on the input parameters in the calculation model and the food chain transport characteristics within the primary radiation ecoregion. The third construction unit is used to construct an ecological database of the secondary radioactive ecozone based on the input parameters in the calculation model and the food chain transport characteristics of the secondary radioactive ecozone. The second obtaining unit is used to obtain, based on the ecological database and the calculation model, the dose of nucleotides in the assessment area transferred from the crops to the human body through ingestion. The first construction unit is used to construct a sub-model for calculating the dry sedimentation cutoff share and a sub-model for calculating the wet sedimentation cutoff share of the crop based on a growth function; the growth function is determined based on the maximum biomass and initial biomass of the crop; wherein... The sub-model for calculating the dry sediment retention ratio is expressed as follows: ； in, The share of dry sediment retention for crops; This is the leaf surface rejection constant; For crops in time The current biomass; The sub-model for calculating the wet sediment retention ratio is expressed as follows: ； in, The share of wet sediment retention for crops; R is the wet retention constant factor for crops, which refers to the water storage capacity of crop leaves; R is the rainfall. Based on the dry deposition cutoff calculation sub-model and the wet deposition cutoff calculation sub-model, a sub-model for calculating the deposition amount of the nuclide on the crop surface is obtained; wherein, The sub-model for calculating the deposition amount of nuclides on the surface of crops is expressed as follows: ； in, This represents the amount of radionuclides deposited on the surface of crops. This represents the dry deposition amount of the nuclide on crops; This represents the amount of wet deposition of nuclides on crops.

8. An electronic device, characterized in that, The electronic device includes a memory, a processor, and a nuclear accident food chain consequences assessment program stored in the memory and executable on the processor. When the processor executes the nuclear accident food chain consequences assessment program, it implements the steps in the nuclear accident food chain consequences assessment method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a nuclear accident food chain consequences assessment program, which is executed by a processor to implement the steps in the nuclear accident food chain consequences assessment method as described in any one of claims 1 to 6.

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