Method for retrieving marine nuclear radiation conditions based on cyanobacterial water color

Abstract

The application provides a method for inverting marine nuclear radiation conditions based on cyanobacteria water color, when nuclear pollution radioactive substances enter the ocean, the enrichment of nuclear substances causes diseases and death of marine organisms due to internal or external irradiation, and causes eutrophication of seawater, and most of the cyanobacteria have stronger anti-nuclear radiation ability, the eutrophication of seawater causes the cyanobacteria to breed in large quantities, the large amount of breeding cyanobacteria causes the chlorophyll in the ocean to reach about 1.5-2 times of the original level, and the color of the marine water body is changed, strong absorption appears in the blue-green wave band, strong scattering appears in the red and near-infrared wave band, and thus brown color appears; chlorophyll a is a pigment commonly contained in phytoplankton, and the concentration of the chlorophyll a can reflect the biomass of the phytoplankton to a certain extent; when the concentration of the chlorophyll a on the sea surface increases, a 685nm fluorescence peak appears; the concentration of the chlorophyll a can be obtained by monitoring the color of the marine water; research shows that A(x) = bf(y) + c, wherein A(x) represents the concentration of nuclear pollution in seawater, f(y) is the concentration of the chlorophyll a monitored in seawater, and b and c are coefficients; thus, the nuclear pollution condition of seawater can be determined through the concentration of the chlorophyll a in seawater.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of marine nuclear radiation monitoring, and particularly relates to a method for inverting marine nuclear radiation conditions based on cyanobacterial water color. BACKGROUND

[0002] The ocean is vast in area and large in water storage capacity. Marine resources are important resources essential for human survival. At present, atomic energy technology is widely used. Nuclear power plants have the advantages of low pollution and high energy, and have great development prospects, and are valued by countries around the world. However, once an accident occurs in a nuclear power plant, radioactive substances inside the nuclear power plant will be released, which will bring serious disaster to the surrounding area of the nuclear power plant and even the world. Once the radioactive substances are released and enter the ocean, they will cause great harm to the marine ecosystem, and will also cause fatal radioactive substances to enter the human body through drinking water, marine products and the like, directly endangering human life and health. Therefore, marine nuclear pollution is a kind of environmental problem with great threat. Therefore, it is imperative to quickly and environmentally monitor marine nuclear pollution.

[0003] Current marine nuclear pollution monitoring is mainly "ground-based" marine environmental monitoring, relying on near-shore monitoring stations, marine monitoring special ships, marine monitoring buoys and the like. The near-shore monitoring station can realize effective monitoring of marine nuclear pollution by arranging monitoring stations at various monitoring points along the coast. The near-shore monitoring station can realize long-time and high-precision data collection, is easy to maintain and has relatively low cost. However, the monitoring position is limited by the coastline, and only the coast can be monitored, and the sea area far from the coast cannot be monitored. Although the marine monitoring special ship has a wide coverage range and can realize all-time monitoring of data, the marine monitoring special ship is limited by the moving speed of the ship, and when the monitoring points in the sea area are far apart, it takes a long time. The operation and maintenance of the marine environmental monitoring ship costs a huge amount of money. According to estimation, the annual operation and maintenance cost of a 500-ton ship is about 10 million yuan.

[0004] Observing the ocean by satellite has the advantages of wide observation range and low cost. However, because the concentration of radioactive substances in the ocean is low, the ionizing radiation has weak ability to penetrate the atmosphere, and it is difficult to directly observe by satellite. Therefore, an indirect method is needed for observation. SUMMARY

[0005] The technical problem to be solved by the present application is to provide a method for inverting marine nuclear radiation conditions based on cyanobacterial water color, which can solve the above problems in the prior art by observing the concentration change of cyanobacteria in the ocean by remote sensing, and combining other related technologies to judge the leakage of radioactive substances in the ocean.

[0006] The working principle of the method for inverting marine nuclear radiation conditions based on cyanobacterial water color is as follows:

[0007] Marine algae have a great impact on the color of seawater, mainly including diatoms, green algae, blue algae, red algae, brown algae and the like. However, when the nuclear pollution radioactive substances enter the sea, the enriched nuclear elements cause the marine organisms to suffer from internal or external radiation, diseases, death and the like, resulting in eutrophication of seawater. Meanwhile, since most of the blue algae have strong anti-nuclear radiation ability, the diatoms, green algae and red algae are relatively weak, and the eutrophication of seawater causes the blue algae to breed in large quantities.

[0008] The blue algae is a prokaryote and is rich in chlorophyll. The large amount of breeding of the blue algae causes the chlorophyll in the sea to reach about 1.5-2 times of the original level, which causes the color of the marine water body to change. There is strong absorption in the blue-green wave band, and there is strong scattering in the red and near-infrared wave bands, so that the brown color is presented. The above change of the color of seawater can be identified through satellite remote sensing imaging of the sea.

[0009] The chlorophyll is an important pigment for the photosynthesis of the phytoplankton in the water body, and the concentration of the chlorophyll a which is universally contained in the phytoplankton can reflect the biomass of the phytoplankton to a certain extent. When the concentration of the chlorophyll on the sea surface increases, the 685nm fluorescence peak appears. Therefore, the concentration of the chlorophyll a can be obtained by monitoring the color of the marine water, so as to indirectly judge the nuclear pollution condition of the seawater.

[0010] According to the above analysis, the multi-spectral camera with blue, green and red and near-infrared optical channels is used to image the sea, so that the distribution of the radioactive substances in the sea can be indirectly observed, and then the change monitoring of the nuclear radiation water pollution can be realized.

[0011] In order to solve the above technical problems, the technical scheme adopted by the present application is as follows:

[0012] A method for inverting the nuclear radiation condition of the sea based on the color of the blue algae, characterized in that it comprises the following steps:

[0013] 1) When the nuclear pollution radioactive substances enter the sea, the enriched nuclear elements cause the marine organisms to suffer from internal or external radiation, diseases, death, resulting in eutrophication of seawater, and most of the blue algae have strong anti-nuclear radiation ability, so that the eutrophication of seawater causes the blue algae to breed in large quantities. The large amount of breeding of the blue algae causes the chlorophyll a in the sea to reach about 1.5-2 times of the original level, which causes the color of the marine water body to change. There is strong absorption in the blue-green wave band, and there is strong scattering in the red and near-infrared wave bands, so that the brown color is presented.

[0014] 2) A multi-spectral camera with blue, green and red and near-infrared optical channels is installed on a satellite to image the sea, and the image data transmitted back to the ground by the multi-spectral camera on the satellite is processed;

[0015] 3) The image data transmitted back to the ground by the processed multi-spectral camera is used to invert the concentration of the chlorophyll a of the marine water body.

[0016] Chlorophyll-a is a pigment that is universally contained in phytoplankton in the ocean, and its concentration can reflect the biomass of phytoplankton in the ocean to some extent. When the chlorophyll concentration on the sea surface increases, the reflection intensity at the 685 nm band increases. The processed image data is converted into remote sensing reflectivity values, and then the chlorophyll-a concentration information in the ocean water body is calculated through a standard empirical algorithm;

[0017] 4) Inverting the nuclear radiation concentration in the ocean water body according to the chlorophyll-a concentration of the ocean water body;

[0018] The reproduction of cyanobacteria in the ocean can be simplified as an S-shaped curve. When the biomass reaches a certain degree, the total amount of nutrients affects the maximum capacity K of the cyanobacterial population allowed by the environment. When the cyanobacterial population reaches K, the cyanobacterial population will stop growing, i.e., the growth rate at this time is 0. Sometimes it will remain relatively stable above and below the maximum value. Due to the pollution of nuclear waste water in the sea, other organisms die, and the nutrients in the sea increase, thereby increasing the K value, which is reflected by the increase of chlorophyll-a content;

[0019] After the satellite is launched into orbit, the k value is calibrated by observing the ocean color of each place. When the k value of a certain sea area reaches more than twice the normal value, combined with the actual situation of the local area, it is judged whether the ocean water body is polluted by nuclear waste water;

[0020] If there is nuclear pollution, the concentration A(x) of nuclear radiation in the ocean water body is calculated using the following function:

[0021] A(x)=bf(y)+c

[0022] Where A(x) represents the concentration of nuclear radiation in the ocean water body, f(y) is the concentration of chlorophyll-a in the ocean water body, and b and c are coefficients.

[0023] Further, the method for processing the image data transmitted by the multispectral camera on the satellite to the ground is as follows:

[0024] A. Radiometric calibration of the image data transmitted by the multispectral camera on the satellite to the ground. Radiometric calibration is the process of converting the gray scale value DN recorded by each detection unit of the multispectral camera into actual physical radiation brightness of the ground object. The observation count value DN of the satellite multispectral camera can be converted into equivalent apparent radiation brightness data using the following formula:

[0025] L=C·DN+B

[0026] In the formula, L is the radiation brightness after spectral conversion of a certain band, DN is the gray scale value of the satellite multispectral camera; C is the calibration slope, B is the calibration intercept, and C and B are constants that can be looked up;

[0027] B. Atmospheric correction of the radiation calibrated data

[0028] The radiation calibrated data needs to be atmospheric corrected, and after atmospheric correction, the error caused by atmospheric scattering, absorption and reflection can be eliminated to obtain the actual reflectivity. After atmospheric correction, the sea surface spectral curve is closer to the true value. The FLAASH atmospheric correction model is used to atmospheric correct the radiation calibrated data. The FLAASH atmospheric correction model first corrects the adjacent pixel effect and then calculates the visibility of the whole radiation image. The FLAASH atmospheric correction model can generate a classification image of cirrus and thin clouds, smooth the spectrum and eliminate noise. After atmospheric correction by the FLAASH atmospheric correction model, the image will become clear, the color will be more realistic, and the spectral line will be closer to the real object spectral line. The parameters are set according to the image information of the multi-spectral camera, and the atmospheric correction result of the image is output.

[0029] C. Marine area extraction

[0030] The whole image after atmospheric correction includes marine area and land area, and only the marine area is needed to participate in the calculation in the inversion calculation process. Therefore, the marine area range needs to be extracted. The normalized difference marine water index method is used to extract the marine water range.

[0031] The normalized difference marine water index is based on the fact that the reflectivity of marine water is very high in the green band and is very strong in the infrared band. Therefore, the normalized marine water index is proposed:

[0032] (GREEN-NIR) / (GREEN+NIR)>T

[0033] GREEN represents the green band, NIR represents the infrared band, and T represents the extraction threshold.

[0034] Further, in the open sea area, the reflectivity of cyanobacteria in the near-infrared band is high, and the reflectivity in the red light is low. The normalized difference marine water index, as one of the main monitoring spectral bands for monitoring marine water, can better reflect the steep slope effect and improve the monitoring efficiency.

[0035] Furthermore, in offshore waters, because the sea water is shallow, underwater mud and sand will also affect the reflection of red light and near-infrared spectrum bands. At the same time, due to the leakage of radioactive materials from coastal nuclear power plants, the nearshore waters are first affected. In addition, changes in the number of plants in other oceans will also cause changes in the normalized difference ocean water index. Cyanobacteria contain a large amount of chlorophyll a, and in addition to the near-infrared spectrum band, chlorophyll a has an absorption peak in the 433nm-453nm wavelength spectrum band, and the 480nm-500nm, 510nm-530nm, and 555nm-575nm wavelength spectrum bands are high reflection areas. Therefore, the above spectrum bands can be set to observe the offshore waters.

[0036] The present invention also includes an electronic device, including a memory, a processor, and a computer program stored in the memory and runnable on the processor, characterized in that when the processor runs the computer program, it executes the steps of the method described above for inverting marine nuclear radiation conditions based on cyanobacteria water color.

[0037] The present invention also includes a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the steps of the aforementioned method for inverting marine nuclear radiation conditions based on cyanobacteria water color.

[0038] Compared with the existing technology, the present invention has the following advantages: it can take advantage of the wide observation range and low observation cost of satellites to realize the large-scale and long-term use of this method, which will effectively reduce the harm that nuclear power plant accidents may cause to biological and human safety and protect the earth's ecological civilization.

[0039] First, it can realize the monitoring of nuclear radiation materials in the ocean through satellite remote sensing;

[0040] Second, it can realize large-scale monitoring of marine nuclear radiation materials;

[0041] Third, it can achieve low-cost monitoring of marine nuclear radiation materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0043] Figure 1 Schematic diagram of the multispectral camera of the present invention;

[0044] Figure 2 Schematic diagram of the global distribution of ocean chlorophyll a concentration. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present application will be clearly and completely described in the following with reference to the drawings. Figure 1-2 The technical solutions in the embodiments of the present application will be clearly and completely described in the following with reference to the drawings.

[0046] The present application provides a method for retrieving marine nuclear radiation conditions based on cyanobacteria water color, comprising the following steps:

[0047] 1) When nuclear contaminated radioactive substances enter the ocean, the enriched nuclear species cause the marine organisms to suffer from internal or external radiation, resulting in diseases and death, and causing eutrophication of seawater, while most cyanobacteria have strong anti-nuclear radiation ability, and the eutrophication of seawater causes the cyanobacteria to multiply in large quantities, and the large amount of cyanobacteria causes the chlorophyll a in the ocean to reach about 1.5-2 times the original level, triggering a change in the color of the marine water body, and strong absorption occurs in the blue-green wave band, and strong scattering occurs in the red and near-infrared wave bands, thus presenting a characteristic brown color;

[0048] 2) A multispectral camera with blue, green, red and near-infrared optical channels is installed on a satellite to image the ocean, and image data transmitted back to the ground by the multispectral camera on the satellite is processed;

[0049] 3) The processed image data transmitted back to the ground by the multispectral camera is used to retrieve the chlorophyll a concentration of the marine water body;

[0050] Chlorophyll a is a pigment commonly contained in phytoplankton in the ocean, and its concentration can reflect the biomass of phytoplankton in the ocean to some extent, when the chlorophyll concentration on the sea surface increases, the reflectance at 685 nm wave band increases, the processed image data is converted into remote sensing reflectance value, and then the chlorophyll a concentration information in the marine water body is calculated through a standard empirical algorithm;

[0051] 4) The nuclear radiation concentration in the marine water body is retrieved according to the chlorophyll a concentration of the marine water body;

[0052] The reproduction of cyanobacteria in the ocean can be simplified as an S-shaped curve, when the biomass reaches a certain degree, the population size is affected by the total amount of nutrients, etc., and there is an environmental maximum capacity K, when the population size reaches K, the population size will stop growing, i.e. the growth rate is 0 at this time, and sometimes it will be relatively stable above and below the maximum value, due to the pollution of nuclear waste water in the sea, other organisms die, and the nutrients in the sea increase, thus the K value increases, which is reflected by the increase of chlorophyll a content;

[0053] After the satellite is put into orbit, the k value is calibrated through the observation and inversion of the ocean water color of each place. When the k value of a certain sea area reaches more than 2 times of the normal value, and combined with the actual situation of the local area (such as the news of the leakage of the local nuclear power plant), it is judged whether the nuclear waste water pollution exists in the marine water body or not. The calibration of the k value is obtained by observing the ocean color multiple times, and the least square method is used to calculate.

[0054] If there is nuclear pollution, the concentration A(x) of nuclear radiation in the marine water body is calculated by using the following function:

[0055] A(x) = bf(y) + c

[0056] Wherein, A(x) represents the concentration of nuclear radiation in the marine water body, f(y) is the concentration of chlorophyll a in the marine water body, and b and c are coefficients.

[0057] Further, the method for processing the image data transmitted by the multi-spectral camera on the satellite to the ground is as follows:

[0058] A. The image data transmitted by the multi-spectral camera on the satellite to the ground is radiometrically calibrated. Radiometric calibration is the process of converting the gray value DN recorded by each detection unit of the multi-spectral camera into the actual physical meaning of the actual ground object radiation brightness. The observation count value DN of the satellite multi-spectral camera can be converted into equivalent apparent radiation brightness data by using the following formula:

[0059] L = C·DN + B

[0060] In the formula, L is the radiation brightness after conversion of a certain waveband spectrum, DN is the gray value of the satellite multi-spectral camera; C is the calibration slope, B is the calibration intercept, and C and B are constants which can be found;

[0061] B. Atmospheric correction is performed on the data after radiometric calibration

[0062] The data after radiometric calibration needs to be atmospheric corrected. After atmospheric correction, the error caused by atmospheric scattering, absorption and reflection can be eliminated to obtain the actual reflectivity. After atmospheric correction, the sea surface spectrum curve is closer to the true value. The FLAASH atmospheric correction model is used to perform atmospheric correction on the data after radiometric calibration. The FLAASH atmospheric correction model first corrects the adjacent pixel effect and then calculates the visibility of the whole radiometric image. The FLAASH atmospheric correction model can generate classification images of cirrus and thin clouds, smooth the spectrum and eliminate noise. After atmospheric correction by the FLAASH atmospheric correction model, the image will become clear, the color will be more realistic, and the spectrum line will be closer to the true ground object spectrum line. According to the image information of the multi-spectral camera, the parameters are set, and the results after atmospheric correction of the image are output.

[0063] C. Marine area extraction

[0064] The whole image after atmospheric correction includes ocean area and land area, only the ocean area is needed to participate in calculation in the inversion calculation process, therefore, the ocean area range needs to be extracted, and the normalized difference ocean water index method is used to extract the ocean water range.

[0065] The normalized difference ocean water index is based on the fact that the reflectivity of ocean water is extremely high in the green band, and the absorption is very strong in the infrared band, therefore, the normalized ocean water index is proposed:

[0066] (GREEN-NIR) / (GREEN+NIR)>T

[0067] GREEN represents the green band, NIR represents the infrared band, and T represents the extraction threshold.

[0068] Further, in the open sea area, the reflectivity of cyanobacteria in the near-infrared band is high, and the reflectivity of red light is low, the normalized difference ocean water index as one of the main monitoring bands for monitoring ocean color can better reflect the steep slope effect and improve the monitoring efficiency.

[0069] Further, in the near-shore sea area, because the water is shallow, the underwater sediment will also affect the reflection of the red light and the near-infrared spectrum, at the same time, because of the leakage of radioactive substances from the coastal nuclear power plant, the first affected area is the near-shore sea area, in addition, the change of the number of plants in other oceans will also cause the change of the normalized difference ocean water index, cyanobacteria contain a large amount of chlorophyll a, and in addition to the near-infrared spectrum, chlorophyll a has an absorption peak in the 433nm-453nm wavelength spectrum, and is a high reflection area in the 480nm-500nm, 510nm-530nm, 555nm-575nm wavelength spectrum, therefore, the above spectrum can be set to observe the near-shore sea area.

[0070] The response time of satellite multispectral camera observation of marine nuclear pollution is affected by constellation coverage and revisit period in the short term, and is mainly affected by the radiation death time period of marine organisms and the growth period of cyanobacteria in the long term. Among them, the growth period of cyanobacteria is about 30 days, and reaches the peak within 10 days. The radiation death time period of marine organisms is related to the concentration of radioactive substances in seawater. In high-concentration seawater (such as nuclear waste water directly discharged from a nuclear power plant in the near-shore area), a large number of organisms will die within a week, and the satellite payload detects seawater nuclear pollution within about half a month, while in the sea area far away from the leaked nuclear power plant, due to the dilution of the radionuclide, the radiation effect is relatively weakened, resulting in that the satellite payload detects seawater pollution for more than one month.

[0071] Figure 1 The main parameters and indexes of the multispectral camera described in the application are shown in the following table 1:

[0072] Table 1 main parameters and indexes of the multispectral camera

[0073]

[0074] Figure 2 Fig. 1 is a schematic diagram of the global ocean chlorophyll-a concentration distribution, which is obtained by taking pictures by a satellite multispectral camera and processing data returned by the satellite multispectral camera. Figure 2 It can be seen that the concentration distribution of chlorophyll-a in the global ocean can be grasped in time by the satellite multispectral camera, and the nuclear radiation concentration in the ocean water can be inversed according to the concentration distribution of chlorophyll-a in the ocean.

[0075] The application further includes an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, performs the steps of the method for retrieving the nuclear radiation condition of the ocean based on the cyanobacteria water color as described above.

[0076] The application further includes a computer readable storage medium storing a computer program, which causes a computer to perform the steps of the method for retrieving the nuclear radiation condition of the ocean based on the cyanobacteria water color as described above.

[0077] The above description is only preferred embodiments of the present application, and does not limit the patent scope of the present application, and any equivalent structural transformation made under the inventive concept of the present application, or direct / indirect application in other related technical fields, is included in the patent protection scope of the present application.

Claims

1. A method for inverting marine nuclear radiation conditions based on cyanobacteria water color, characterized by: The steps include: 1) When radioactive nuclear contamination enters the ocean, the enriched radionuclides cause marine organisms to be exposed to internal or external radiation, resulting in illness and death, and causing eutrophication of the seawater. Most cyanobacteria have a strong ability to resist nuclear radiation, and eutrophic seawater causes cyanobacteria to reproduce in large numbers. The large-scale reproduction of cyanobacteria causes the chlorophyll a in the ocean to reach about 1.5-2 times the original level, causing the color of the ocean water to change, with strong absorption in the blue-green band and strong scattering in the red and near-infrared bands, resulting in a characteristic brown color; 2) Install a multispectral camera on the satellite with blue, green, red, and near-infrared optical channels to image the ocean, and process the image data transmitted back to the ground by the multispectral camera on the satellite; 3) Using processed multispectral camera image data transmitted back to the ground, we inverted the chlorophyll a concentration in the ocean water. Chlorophyll a is a common pigment found in phytoplankton in the ocean, and its concentration reflects the biomass of phytoplankton in the ocean. As the chlorophyll concentration at the sea surface increases, the reflectance intensity at 685 nm increases. The processed image data is converted into remote sensing reflectance values, and then the chlorophyll a concentration in the ocean water is calculated using a standard empirical algorithm. 4) Invert the concentration of nuclear radiation in ocean waters based on the chlorophyll a concentration in ocean waters; simplify the reproduction of cyanobacteria in the ocean into an S-shaped curve. When the biomass reaches a certain level, it is affected by the total amount of nutrients, and the population size has a maximum capacity K allowed by the environment. When the population size reaches K, the population size will stop growing, that is, the growth rate at this time is 0, and sometimes it will remain relatively stable around the maximum value. As the seawater is contaminated by nuclear waste water, other organisms die, and the nutrients in the seawater increase, the K value increases, which is reflected in the increase of chlorophyll a content. After the satellite is put into orbit, the K value is calibrated by observing and inverting the ocean water color in various places. When the K value of a certain sea area reaches more than twice the normal value, it is judged based on the local actual situation whether the ocean water is contaminated by nuclear waste water. If there is nuclear pollution, the following function is used to calculate the concentration of nuclear radiation A (x) in the ocean water: A(x)=bf(y)+c Among them, A (x) represents the concentration of nuclear radiation in ocean water, f (y) is the concentration of chlorophyll a in ocean water, and b and c are coefficients.

2. The method for inverting marine nuclear radiation conditions based on cyanobacteria water color according to claim 1 is characterized by: The method for processing the image data transmitted back to the ground by the multispectral camera on the satellite is as follows: A. Radiometric calibration is performed on the image data transmitted back to the ground by the satellite's multispectral camera. Radiometric calibration is the process of converting the grayscale value DN recorded by each detection unit of the multispectral camera into the actual ground object radiance with actual physical meaning. The following formula is used to convert the observed count value DN of the satellite multispectral camera into equivalent apparent radiance data: L=C·DN+B Where L is the radiance after spectrum conversion in a certain band, DN is the grayscale value of the satellite multispectral camera; C is the calibration slope, B is the calibration intercept, and C and B are constants; B. Perform atmospheric correction on the data after radiometric calibration The data after radiometric calibration needs to be atmospherically corrected. After atmospheric correction, the errors caused by atmospheric scattering, absorption, and reflection can be eliminated to obtain the actual reflectivity. After atmospheric correction, the sea surface spectrum curve is closer to the true value. The FLAASH atmospheric correction model is used to perform atmospheric correction on the radiometric calibration data. The FLAASH atmospheric correction model first corrects the effects of adjacent pixels and then calculates the visibility of the entire radiation image. The FLAASH atmospheric correction model can generate classified images of cirrus and thin clouds, smooth the spectrum and eliminate noise. After atmospheric correction by the FLAASH atmospheric correction model, the image will become clearer, the color will be more realistic, and the spectral line will be closer to the real ground object line due to the removal of atmospheric factors such as water vapor. Parameters are set based on the multispectral camera's image information, and the image atmospheric correction results are output; C. Ocean Area Extraction The entire image after atmospheric correction includes ocean and land areas. In the inversion calculation process, only the ocean area is required to participate in the calculation. Therefore, the ocean area range needs to be extracted. The normalized difference ocean water index method is used to extract the ocean water range. The normalized difference ocean water index is based on the fact that ocean water has extremely high reflectivity in the green band and strong absorption in the infrared band. Therefore, the normalized difference ocean water index is proposed: (GREEN-NIR) / (GREEN+NIR)>T GREEN represents the green band, NIR represents the infrared band, and T represents the extraction threshold.

3. The method for inverting marine nuclear radiation conditions based on cyanobacteria water color according to claim 2 is characterized by: In offshore waters, because the sea water is shallow, the underwater mud and sand will also affect the reflection of red light and near-infrared spectrum. At the same time, due to the leakage of radioactive materials from coastal nuclear power plants, the nearshore waters are first affected. In addition, changes in the number of plants in other oceans will also cause changes in the normalized difference ocean water index. Cyanobacteria contain a large amount of chlorophyll a. In addition to the near-infrared spectrum, chlorophyll a has an absorption peak in the 433nm-453nm wavelength spectrum, and the 480nm-500nm, 510nm-530nm, and 555nm-575nm wavelength spectrum are high reflection areas. Therefore, the above spectrum bands are set to observe the offshore waters.

4. An electronic device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor runs the computer program, the method executes the steps of a method for inverting marine nuclear radiation conditions based on cyanobacteria water color as described in any one of claims 1 to 3.

5. A computer-readable storage medium storing a computer program, characterized in that: The computer program enables the computer to execute the steps of a method for inverting marine nuclear radiation conditions based on cyanobacteria water color disclosed in any one of claims 1 to 3.

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