Atmospheric environment risk assessment method for harbor dangerous cargo container yard

Abstract

The invention relates to the technical field of risk assessment, and discloses an atmospheric environment risk assessment method for a harbor dangerous cargo container yard, which considers a real-time meteorological data set and obtains pollutant concentration by using a diffusion model, and on the basis, not only considers correction factors of meteorological conditions and performs primary optimization on the pollutant concentration, but also improves the risk assessment efficiency of the harbor dangerous cargo container yard. The dry sedimentation rate and the wet sedimentation rate are also considered, and secondary optimization is carried out on the primary optimization pollutant concentration to obtain the maximum pollutant concentration. Firstly, through the use of a dynamic meteorological data set, the influence of short-term meteorological changes on pollutant diffusion can be captured, it is ensured that a prediction result better conforms to the actual situation, and especially under the accident situation, a static model cannot capture the changes. Secondly, the dry sedimentation process and the wet sedimentation process are comprehensively considered, so that the model can more accurately simulate the behavior that pollutants settle to the ground from the atmosphere, especially the cumulative effect of particulate matter and gaseous pollutants and the potential influence on soil and water.

Description

Technical Field

[0001] The present invention relates to the technical field of risk assessment, and in particular to a method for assessing atmospheric environmental risk in a port hazardous goods container yard. Background Art

[0002] The new dangerous goods container yard project aims to restore and improve the storage capacity of dangerous goods containers to meet the logistics needs of a wider area. The construction of the yard is of great significance to promoting local economic development and optimizing the functional layout of the port. However, given the special nature of dangerous goods, they may cause environmental risk events such as leakage, fire, and explosion during storage and turnover, so the risk assessment of the atmospheric environment is particularly critical. Through the study of typical environmental risk accident cases of the same type and combined with the actual situation of the project, the following main types of atmospheric environmental risks are identified: Leakage: Whether it is gaseous, liquid or solid dangerous goods, leakage may occur if the packaging is damaged or does not meet the requirements. In particular, once gaseous dangerous goods leak, they will quickly spread into the atmosphere; and the evaporation of the liquid pool formed after the leakage of liquid dangerous goods will also cause pollutants to enter the air.

[0003] Fire and explosion: Due to the flammable and explosive characteristics of dangerous goods, any improper operation or poor maintenance may lead to fire or even explosion. Such accidents will not only produce a large amount of associated / secondary pollutants, but may also generate new harmful gases due to chemical reactions under high temperature and high pressure conditions.

[0004] Reaction with water: Certain hazardous substances react violently when in contact with water, releasing toxic and harmful gases, further exacerbating the harm to the atmospheric environment.

[0005] Most existing technologies use diffusion models to simulate the distribution of pollutant concentrations and evaluate the impact of pollutants on the atmospheric environment, especially on physical health. When simulating atmospheric diffusion, multi-year averaged meteorological data are usually used, such as average wind speed, wind direction, temperature stratification, etc. Although this simplified processing is convenient for calculation, it may also lead to inaccurate results. Meteorological conditions vary significantly in different seasons. For example, summer usually has strong solar radiation and higher temperatures, which will make the atmospheric stratification more unstable and conducive to the vertical diffusion of pollutants; while in winter, inversion may occur, inhibiting the vertical diffusion of pollutants, causing them to gather near the ground and increase local pollution concentrations. Therefore, the use of a single averaged meteorological data cannot accurately reflect the impact of seasonal changes on the diffusion of pollutants, resulting in the inability to accurately implement risk assessment. Summary of the invention

[0006] In order to solve the above technical problems, the present invention provides a method for assessing atmospheric environmental risks in a port dangerous goods container yard, comprising: Step 1, collect dangerous goods information in the yard; Step 2: Identify potential atmospheric environmental risk types based on dangerous goods information and set the maximum credible accident scenario for each atmospheric environmental risk type; Step 3: Calculate the initial discharge of various types of dangerous goods after the accident based on the most credible accident scenario; Step 4: Obtain a dynamic meteorological data set, build an atmospheric diffusion model, and calculate the concentration of pollutants in the atmosphere; perform a two-level optimization based on the pollutant concentration to obtain the maximum concentration of pollutants; Step 5: Calculate the health risk index based on the maximum concentration of pollutants and conduct a health risk assessment.

[0007] Furthermore, dynamic meteorological data sets are obtained, including: Step 41, obtaining real-time meteorological data; Step 42, input the real-time meteorological data into the numerical weather forecast model to generate a dynamic meteorological data set containing meteorological forecast data in the future.

[0008] Furthermore, a two-level optimization is performed based on the pollutant concentration to obtain the maximum pollutant concentration, including: Step 43, calculating the temperature change according to the temperature at the initial moment of the accident and the temperature at the current moment after the accident in the dynamic meteorological data set; and obtaining the correction factor of the meteorological condition according to the temperature change; Step 44, performing primary optimization on the pollutant concentration according to the correction factor of the meteorological conditions to obtain a primary optimized pollutant concentration; Step 45, defining dry deposition rates and wet deposition rates of different pollutants; Step 46, based on the first-level optimized pollutant concentration, dry deposition rate and wet deposition rate, the pollutant concentration is secondarily optimized to obtain the maximum pollutant concentration.

[0009] Furthermore, the health risk index is calculated based on the maximum concentration of pollutants, and health risk assessment is performed, including: Step 51, defining a reference concentration; Step 52, calculating the health risk index according to the reference concentration and the maximum concentration of the pollutant; Step 53, presetting a health risk standard for the health risk index. When the health risk index is greater than the health risk standard, it means that the current pollutant has a health risk; when the health risk index is less than or equal to the health risk standard, it means that the current pollutant has no health risk.

[0010] Furthermore, the atmospheric diffusion model is: ; In the formula, Represents the atmosphere The pollutant concentration at the location at time t, Q represents the initial emission of pollution after the accident, represents the location of the pollution source, k is the diffusion coefficient, is the ratio of pi.

[0011] Furthermore, the first-level optimized pollutant concentration is: ; In the formula, Represents the atmosphere The first-order optimal pollutant concentration at the location at time t, Represents the correction factor of the meteorological conditions at time t.

[0012] Furthermore, the correction factor for meteorological conditions is: ; In the formula, is the temperature sensitivity coefficient, Represents the temperature change between the temperature at the tth moment after the accident and the temperature at the initial moment of the accident.

[0013] Furthermore, the maximum concentration of pollutants is: ; In the formula, Represents the atmosphere The maximum concentration of pollutants at the location at time t, represents the dry deposition rate, Represents the wet deposition rate.

[0014] The health risk index is: ; In the formula, represents the health risk index, represents the reference concentration.

[0015] The embodiments of the present invention have the following technical effects: The present invention takes into account the real-time meteorological data set and uses the diffusion model to obtain the pollutant concentration. On this basis, the present application not only takes into account the correction factor of meteorological conditions and performs a primary optimization of the pollutant concentration, but also takes into account the dry deposition rate and the wet deposition rate, and performs a secondary optimization on the primary optimized pollutant concentration to obtain the maximum concentration of pollutants. First, through the use of dynamic meteorological data sets, the present invention can capture the impact of short-term meteorological changes on the diffusion of pollutants, ensuring that the prediction results are more in line with the actual situation, especially in accident scenarios, static models cannot capture these changes. Secondly, the dry deposition and wet deposition processes are fully considered, so that the model can more accurately simulate the behavior of pollutants settling from the atmosphere to the ground, especially the cumulative effects of particulate matter and gaseous pollutants and their potential impact on soil and water bodies. In addition, based on the maximum concentration of pollutants obtained through two-stage optimization, the present invention can more scientifically calculate the health risk index, evaluate the potential impact of pollutants on human health, ensure that the results of health risk assessment are more accurate and reasonable, and achieve accurate assessment of atmospheric pollutant risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flow chart of a method for assessing atmospheric environmental risks in a port hazardous goods container yard provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0019] Figure 1 1 is a flow chart of a method for assessing atmospheric environmental risk in a port hazardous cargo container yard provided by an embodiment of the present invention. Figure 1 , including: Step 1: Collect information on dangerous goods in the yard.

[0020] Dangerous goods information includes but is not limited to: type of goods, physical and chemical properties, packaging form, storage conditions and quantity.

[0021] Step 2: Identify potential atmospheric environmental risk types based on dangerous goods information and set the maximum credible accident scenario for each atmospheric environmental risk type.

[0022] After collecting detailed information about dangerous goods in the yard, the next step is to identify potential atmospheric environmental risks based on this information. Atmospheric environmental risks mainly come from unexpected events that may occur during the storage, transportation and handling of dangerous goods. The following are common atmospheric environmental risk types and their identification methods: Leakage risk: By examining the physical and chemical properties of dangerous goods (such as volatility, solubility, reactivity, etc.), the risk of leakage during storage or transportation is assessed. Especially for liquid or gaseous dangerous goods, leakage may cause volatile organic compounds (VOCs), toxic gases or other pollutants to enter the atmosphere.

[0023] Fire and explosion risk: By analyzing the fire and explosion characteristics of dangerous goods (such as flash point, ignition point, explosion limit, etc.), the possibility of fire or explosion under conditions of high temperature, sparks, static electricity, etc. is assessed. In particular, some flammable and explosive chemicals, such as gasoline, ethanol, acetone, etc., once a fire or explosion occurs, may release a large amount of smoke, toxic gases and heat, causing serious pollution to the atmospheric environment.

[0024] Water-reactivity risk: By checking the water reactivity of dangerous goods, we assess the risk of violent reactions after contact with water. Some dangerous goods (such as metallic sodium, calcium chloride, etc.) will generate a lot of heat or toxic gases when in contact with water, and may even explode. In addition, some acidic or alkaline substances may release corrosive gases when in contact with water, causing pollution to the atmospheric environment.

[0025] After identifying the potential atmospheric environmental risk types, the maximum credible accident scenario (MCA) is set for each risk type. MCA refers to the most serious accident scenario that is most likely to occur under existing technical and management conditions. The purpose of setting MCA is to ensure the conservatism and reliability of the assessment and avoid underestimating potential risks. The following is a specific method for setting MCA for different risk types: Most plausible spill scenario: Scenario description: Assume that a large storage tank or multiple storage tanks in the yard leak, and the leakage volume is 100% of the storage tank capacity. The leaked dangerous goods quickly evaporate into gas, forming a large area of ​​pollutant cloud, which spreads to the surrounding area.

[0026] Impact range: Based on factors such as wind speed, wind direction, and terrain, simulate the diffusion path and concentration distribution of pollutants, and evaluate their impact on surrounding residential areas, industrial areas, nature reserves, etc.

[0027] Emergency response: Develop a detailed emergency plan, including immediate blockade of the leakage area, evacuation of surrounding personnel, use of adsorbents to block the source of the leakage, and cleaning of the contaminated area.

[0028] The most plausible scenario for a fire and explosion accident: Scenario description: Assume that a fire breaks out in an area of ​​the yard and quickly spreads to the adjacent dangerous goods storage area, causing multiple fires and explosions. The high temperature and flames generated by the fire accelerate the volatilization and decomposition of dangerous goods, releasing a large amount of smoke, toxic gases and heat.

[0029] Impact scope: Based on factors such as fire scale, wind speed and wind direction, simulate the diffusion path of smoke and toxic gases, and evaluate their impact on surrounding air quality, visibility and human health.

[0030] Emergency response: Develop a detailed emergency plan, including immediately activating the fire-fighting system, evacuating surrounding personnel, mobilizing professional fire-fighting teams to extinguish the fire, and using dry powder, foam and other fire-extinguishing agents to control the fire.

[0031] Most plausible scenario for a water-reactive accident: Scenario description: Assume that a rainstorm occurs in a certain area of ​​the storage yard, and rainwater seeps into the area where dangerous goods are stored, causing multiple chemicals that are highly reactive with water to react violently at the same time. During the reaction, a large amount of heat and toxic gases are released, forming a large area of ​​pollution cloud.

[0032] Impact range: Based on factors such as rainfall, wind speed, and wind direction, simulate the diffusion path of toxic gases and evaluate their impact on surrounding air quality and human health. Pay special attention to the toxicity of reaction products and their long-term impact on the environment.

[0033] Emergency response: Develop a detailed emergency plan, including measures such as immediately stopping rainwater discharge, using waterproof materials to isolate dangerous goods, mobilizing professional rescue teams for disposal, and cleaning up contaminated areas.

[0034] Step 3: Based on the most credible accident scenario, calculate the initial emissions of various types of dangerous goods after the accident.

[0035] After setting the maximum credible accident scenario, the initial emissions of various types of dangerous goods after the accident are calculated based on these scenarios. The initial emissions refer to the total amount of pollutants released into the atmosphere by dangerous goods at the moment of the accident or within a short period of time, which is obtained through the leakage rate method, combustion rate method, chemical reaction rate method, and volatilization rate method.

[0036] Step 4: Obtain a dynamic meteorological data set, build an atmospheric diffusion model, and calculate the concentration of pollutants in the atmosphere; perform two-level optimization based on the pollutant concentration to obtain the maximum concentration of pollutants.

[0037] ; In the formula, Represents the atmosphere The pollutant concentration at the location at time t, Q represents the initial emission of pollution after the accident, represents the location of the pollution source, k is the diffusion coefficient, For pi, take 3.14.

[0038] Obtaining a dynamic meteorological dataset includes the following steps: Step 41, obtaining real-time meteorological data.

[0039] Choose a suitable meteorological observation station: According to the geographical location of the port's dangerous goods container yard, choose a nearby meteorological observation station. An ideal meteorological observation station should have the following characteristics: Close to the storage yard: Ensure that the meteorological data can reflect the actual meteorological conditions of the storage yard and its surrounding areas.

[0040] High data quality: Priority is given to high-quality observation data provided by the National Meteorological Administration or professional meteorological service agencies.

[0041] Complete observation elements: ensure that the observation station can provide a variety of meteorological elements, such as wind speed, wind direction, temperature, humidity, precipitation, air pressure, etc.

[0042] If the data from a single meteorological observation station cannot fully cover the storage yard and its surrounding areas, the data from multiple meteorological observation stations can be fused. Through data fusion technology, the spatial resolution of meteorological data can be improved to ensure a more accurate reflection of local meteorological changes.

[0043] Real-time weather data includes but is not limited to: Wind speed and direction: Wind speed and direction are key factors affecting the spread of pollutants. Real-time acquisition of wind speed and direction data ensures accurate simulation of the transmission path of pollutants.

[0044] Temperature: Temperature changes affect the stability of atmospheric stratification, which in turn affects the vertical diffusion of pollutants. Real-time temperature data is acquired to ensure that the impact of short-term temperature fluctuations on pollutant dispersion can be captured.

[0045] Humidity: Humidity affects the water vapor content in the air, which in turn affects the wet deposition rate of pollutants. Real-time humidity data is obtained to ensure that the deposition process of pollutants can be accurately simulated.

[0046] Precipitation: Precipitation directly affects wet deposition of pollutants, especially during rainfall, when pollutants can quickly fall from the atmosphere to the ground. Real-time precipitation data ensures that the impact of wet deposition can be accurately assessed.

[0047] Air pressure: Changes in air pressure affect the stability of atmospheric stratification and wind speed, which in turn affects the dispersion of pollutants. Obtain air pressure data in real time to ensure that the impact of air pressure fluctuations on pollutant dispersion can be captured.

[0048] Visibility: Visibility can reflect the concentration of particulate matter in the atmosphere, especially during fire or smoke events, where changes in visibility can help assess the spread of pollutants.

[0049] Other meteorological elements: Other meteorological elements such as cloud cover, sunshine time, ultraviolet intensity, etc. can also be obtained to further improve the meteorological dataset.

[0050] Step 42, input the real-time meteorological data into the numerical weather forecast model to generate a dynamic meteorological data set containing meteorological forecast data in the future.

[0051] Input the above real-time meteorological data to simulate the meteorological changes in the future. The common simulation time range is 24 hours to 72 hours. The meteorological data output by the model includes meteorological elements such as wind speed, wind direction, temperature, humidity, precipitation, etc. for each time step in the future. Combine the output meteorological elements such as wind speed, wind direction, temperature, humidity, precipitation, etc. for each time step into a dynamic meteorological data set.

[0052] Based on the pollutant concentration, a two-level optimization is performed to obtain the maximum pollutant concentration, including: Step 43, calculate the temperature change according to the temperature at the initial moment of the accident and the temperature at the current moment after the accident in the dynamic meteorological data set; and obtain the correction factor of the meteorological condition according to the temperature change.

[0053] ; In the formula, is the temperature sensitivity coefficient, Represents the temperature change between the temperature at the tth moment after the accident and the temperature at the initial moment of the accident.

[0054] The temperature sensitivity coefficient is used to describe the sensitivity of pollutant concentration to temperature changes. It reflects the degree of influence of temperature changes on pollutant concentration. The temperature sensitivity coefficient in the above formula is obtained by consulting relevant literature and experimental data to obtain the temperature sensitivity coefficient of specific pollutants.

[0055] Step 44, performing primary optimization on the pollutant concentration according to the correction factor of the meteorological conditions to obtain a primary optimized pollutant concentration.

[0056] ; In the formula, Represents the atmosphere The first-order optimal pollutant concentration at the location at time t, Represents the correction factor of the meteorological conditions at time t.

[0057] This embodiment can dynamically adjust the pollutant concentration prediction model (diffusion model) under different temperature conditions, significantly improving the accuracy and reliability of the prediction results. Specifically, this method can more accurately capture the impact of temperature changes on the diffusion and sedimentation process of pollutants, ensuring that the model can still provide reliable concentration predictions under extreme meteorological conditions such as high or low temperatures. In addition, when conducting health risk assessments based on corrected pollutant concentrations, it can more scientifically reflect the actual exposure level and avoid misjudgments caused by temperature changes, thereby providing a more solid scientific basis for emergency response and pollution control measures. This not only helps to improve the efficiency of environmental management, but also effectively protects the safety of public health and the ecological environment.

[0058] Step 45, defining the dry deposition rate and wet deposition rate of different pollutants.

[0059] Dry deposition refers to the process by which pollutants naturally settle to the ground under the action of gravity. The dry deposition rate depends on the physical and chemical properties of the pollutants (such as particle size, density, shape, etc.) and meteorological conditions (such as wind speed, turbulence intensity, etc.). For gaseous pollutants (such as SO 2 、NO x ), the dry deposition rate is usually smaller because they have no obvious particle morphology and settle to the ground mainly through molecular diffusion and surface adsorption.

[0060] In this embodiment, the dry deposition rate is preferably defined according to the pollutant state. and wet deposition rate .

[0061] For particulate matter (such as PM2.5, PM10), the dry deposition rate mainly depends on the particle size and density. Larger particles have a faster deposition rate due to the stronger gravity, while smaller particles may be affected by air turbulence and have a slower deposition rate: ; g is the acceleration due to gravity, d is the particle diameter of the particles, and v is the aerodynamic viscosity; For gaseous pollutants (such as SO 2 、NO x ), the dry deposition rate is usually smaller because they have no obvious particle morphology and mainly settle to the ground through molecular diffusion and surface adsorption: ; is the surface exchange coefficient, Optimize pollutant concentrations for the first level.

[0062] For particulate matter, the wet deposition rate depends mainly on the hygroscopicity of the particles and the intensity of rainfall. Larger particles are more easily captured by raindrops and have higher wet deposition rates; smaller particles may require more intense rainfall to be captured: ; For gaseous pollutants, the wet deposition rate depends on their solubility. Gaseous pollutants that are easily soluble in water (such as SO 2 , HCl) will be quickly dissolved and deposited to the ground during rainfall, with a high wet deposition rate; while gaseous pollutants that are not easily soluble in water (such as CO, O 3 ) Wet deposition rate is low: ; is the sedimentation coefficient, is the solubility coefficient and R is the rainfall rate.

[0063] Among them, the aerodynamic viscosity, surface exchange coefficient, sedimentation coefficient, and solubility coefficient can all be calculated by standard formulas in combination with the current atmospheric environment. The rainfall rate is predicted by the numerical weather forecast model.

[0064] Step 46, based on the first-level optimized pollutant concentration, dry deposition rate and wet deposition rate, the pollutant concentration is secondarily optimized to obtain the maximum pollutant concentration.

[0065] ; In the formula, Represents the atmosphere The maximum concentration of pollutants at the location at time t, represents the dry deposition rate, Represents the wet deposition rate.

[0066] This embodiment takes into account the dry deposition rate and wet deposition rate, and combined with the first-level optimization of pollutant concentration, the accuracy of pollutant concentration prediction can be significantly improved. Specifically, by comprehensively considering the dry deposition rate and wet deposition rate, the formula can more accurately reflect the diffusion and deposition process of pollutants in the atmosphere. This not only helps to more accurately assess the risk of air pollution, but also provides a scientific basis for emergency response and pollution control measures. In this way, effective measures can be taken quickly after an accident to minimize harm to the environment and human health.

[0067] Step 5: Calculate the health risk index based on the maximum concentration of pollutants and conduct a health risk assessment.

[0068] Step 51, defining a reference concentration.

[0069] Reference concentration is a safe limit for evaluating the impact of pollutants on human health. It is usually determined based on toxicological studies, epidemiological data, and national or international environmental standards. In this embodiment, the minimum value of the above reference standard is preferably used as the reference concentration.

[0070] Step 52, calculating the health risk index according to the reference concentration and the maximum concentration of the pollutant; ; In the formula, represents the health risk index, represents the reference concentration.

[0071] Step 53, preset a health risk standard for the health risk index. When the health risk index is greater than the health risk standard, it means that the current pollutant poses a health risk, and emergency measures should be taken to reduce exposure and control pollution sources. When the health risk index is less than or equal to the health risk standard, it means that the current pollutant poses a low health risk and will not cause significant impact on health.

[0072] It should be noted that the terms used in the present invention are only for describing specific embodiments, rather than limiting the scope of the present application. As shown in the present specification, unless the context clearly indicates an exception, the words "one", "a", "a kind of" and / or "the" do not specifically refer to the singular, but may also include the plural. The terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method or device. In the absence of more restrictions, the elements defined by the sentence "include one..." do not exclude the presence of other identical elements in the process, method or device including the elements.

[0073] It should also be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", etc. should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A method for assessing atmospheric environmental risk in a port hazardous cargo container yard, characterized in that: include: Step 1, collect dangerous goods information in the yard; Step 2: Identify potential atmospheric environmental risk types based on dangerous goods information and set the maximum credible accident scenario for each atmospheric environmental risk type; Step 3: Calculate the initial discharge of various types of dangerous goods after the accident based on the most credible accident scenario; Step 4: Obtain a dynamic meteorological data set, build an atmospheric diffusion model, and calculate the concentration of pollutants in the atmosphere; perform a two-level optimization based on the pollutant concentration to obtain the maximum concentration of pollutants; Step 5: Calculate the health risk index based on the maximum concentration of pollutants and conduct a health risk assessment.

2. A method for assessing atmospheric environmental risk in a port dangerous goods container yard according to claim 1, characterized in that: Get dynamic weather data sets, including: Step 41, obtaining real-time meteorological data; Step 42, input the real-time meteorological data into the numerical weather forecast model to generate a dynamic meteorological data set containing meteorological forecast data in the future.

3. A method for assessing atmospheric environmental risk in a port dangerous goods container yard according to claim 2, characterized in that: Based on the pollutant concentration, a two-level optimization is performed to obtain the maximum pollutant concentration, including: Step 43, calculating the temperature change according to the temperature at the initial moment of the accident and the temperature at the current moment after the accident in the dynamic meteorological data set; and obtaining the correction factor of the meteorological condition according to the temperature change; Step 44, performing primary optimization on the pollutant concentration according to the correction factor of the meteorological conditions to obtain a primary optimized pollutant concentration; Step 45, defining dry deposition rates and wet deposition rates of different pollutants; Step 46, based on the first-level optimized pollutant concentration, dry deposition rate and wet deposition rate, the pollutant concentration is secondarily optimized to obtain the maximum pollutant concentration.

4. The atmospheric environment risk assessment method for a port dangerous goods container yard according to claim 1 is characterized in that: According to the maximum concentration of pollutants, the health risk index is calculated and the health risk assessment is carried out, including: Step 51, defining a reference concentration; Step 52, calculating the health risk index according to the reference concentration and the maximum concentration of the pollutant; Step 53, presetting a health risk standard for the health risk index. When the health risk index is greater than the health risk standard, it means that the current pollutant has a health risk; when the health risk index is less than or equal to the health risk standard, it means that the current pollutant has no health risk.

5. A method for assessing atmospheric environmental risk in a port dangerous goods container yard according to claim 4, characterized in that: The atmospheric diffusion model is: ； In the formula, Represents the atmosphere The pollutant concentration at the location at time t, Q represents the initial emission of pollution after the accident, represents the location of the pollution source, k is the diffusion coefficient, is the ratio of pi.

6. A method for assessing atmospheric environmental risk in a port dangerous goods container yard according to claim 5, characterized in that: The first-level optimized pollutant concentration is: ； In the formula, Represents the atmosphere The first-order optimal pollutant concentration at the location at time t, Represents the correction factor of the meteorological conditions at time t.

7. A method for assessing atmospheric environmental risk in a port dangerous goods container yard according to claim 6, characterized in that: The correction factor for meteorological conditions is: ； In the formula, is the temperature sensitivity coefficient, Represents the temperature change between the temperature at the tth moment after the accident and the temperature at the initial moment of the accident.

8. A method for assessing atmospheric environmental risk in a port dangerous goods container yard according to claim 6, characterized in that: The maximum concentration of pollutants is: ； In the formula, Represents the atmosphere The maximum concentration of pollutants at the location at time t, represents the dry deposition rate, Represents the wet deposition rate.

9. A method for assessing atmospheric environmental risk in a port dangerous goods container yard according to claim 8, characterized in that: The health risk index is: ； In the formula, represents the health risk index, represents the reference concentration.

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