An assessment method for the risk of earthquake-induced secondary sudden environmental incidents

Abstract

The object of the present invention is to provide a method for evaluating the risk of earthquake secondary sudden environmental events, the method comprising: acquiring environmental parameters and earthquake parameters; constructing a correlation model of the environmental parameters and the earthquake parameters; and evaluating the risk of earthquake secondary sudden environmental events according to the correlation model. By integrating various factors affecting the risk level of earthquake secondary sudden environmental events, the present invention can reduce the computational amount of the neural network model, improve the judgment speed, and comprehensively evaluate the risk level of earthquake secondary sudden environmental events, thereby improving the accuracy of prediction.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly relates to a method for evaluating the risk of earthquake secondary sudden environmental events. Background Art

[0002] Earthquake secondary environmental events mainly include fires, floods, gas pollution, bacterial pollution, radioactive pollution, earthquake landslides, earthquake rolling stones, earthquake debris flows, earthquake tsunamis, etc. In addition to causing direct harm to humans, the losses caused by the secondary disasters triggered by earthquakes are even more significant. These secondary disasters include, but are not limited to: Fire: A strong earthquake may cause damage to electrical facilities, chemical reactions of dangerous goods, explosions and combustion of flammable and explosive substances, damage to chimneys, etc., and then trigger a fire. Using an open flame in a quake-proof shed is also likely to cause a fire. Flood: An earthquake can cause river channels to be blocked, and the vibrations caused by the earthquake may also damage water conservancy project buildings such as reservoir dams, resulting in floods. Landslides, rolling stones, debris flows: Affected by the earthquake, the soil or rock mass exposed on the slope may slide down the slope as a whole or dispersedly along a certain weak surface or weak zone, forming a landslide; gravel or rock blocks roll freely down the slope; an earthquake may also induce the flow of a mixture of water, mud, and stones, forming a debris flow. Tsunami: An earthquake tsunami is generally caused by an earthquake with a magnitude of 6.5 or above and a focal depth within 50 kilometers under the sea, posing a threat to coastal areas. The occurrence of these secondary disasters requires people to take corresponding preventive measures after an earthquake, such as trying to cut off the fire source, covering the mouth and nose with a wet towel, lowering the body center of gravity and quickly transferring, timely understanding the safety information of dams and barrier lakes in the earthquake area, and avoiding staying on the landslide body, etc., to reduce the losses caused by secondary disasters.

[0003] The influencing factors of earthquake secondary environmental events mainly include peak ground acceleration, active faults, topography, lithology, geological structure, climate conditions, and human engineering activities. Earthquake secondary environmental events refer to a series of environmental problems caused by the direct action of an earthquake or other triggered factors after the earthquake. The influencing factors of these events are diverse, involving the comprehensive impact of natural factors and human activities on the environment. At present, the evaluation of the risk of secondary sudden environmental events after an earthquake is not accurate enough, and the evaluation speed is not high enough, and it cannot provide a suitable reference for rescue personnel to make rescue plans. Summary of the Invention

[0004] The purpose of the present invention is to provide a method for evaluating the risk of earthquake secondary sudden environmental events. By integrating various factors that affect the risk level of earthquake secondary sudden environmental events, this method can reduce the computational amount of the neural network model, improve the judgment speed, and comprehensively evaluate the risk level of earthquake secondary sudden environmental events, thereby improving the accuracy of prediction.

[0005] A method for assessing the risk of secondary sudden environmental events caused by earthquakes, comprising:

[0006] Obtain environmental parameters and earthquake parameters;

[0007] Construct a correlation model of the environmental parameters and the earthquake parameters;

[0008] Evaluate the risk of secondary sudden environmental events according to the correlation model.

[0009] Preferably, the construction of the correlation model of the environmental parameters and the earthquake parameters includes:

[0010] Fuse multiple environmental parameters into an environmental impact factor;

[0011] Fuse multiple earthquake parameters into an earthquake impact factor;

[0012] Construct a correlation model of the environmental impact factor and the earthquake impact factor according to the impacts of the environment and the earthquake on secondary sudden environmental events.

[0013] Preferably, the fusing of the multiple environmental parameters into an environmental impact factor includes:

[0014] The environmental impact factor is expressed as:

[0015]

[0016] where Q is the influence degree of the environmental impact factor on the environmental event, is the geological parameter, is the terrain parameter, is the building parameter, is the influence degree of the geological parameter on type A environmental events, is the influence degree of the terrain parameter on type B environmental events, is the influence degree of the building parameter on type C environmental events.

[0017] Preferably, obtaining the weights of the multiple environmental parameters includes:

[0018] The weight of the earthquake impact factor is expressed as:

[0019]

[0020] where, is the weight of the j-th environmental parameter, is the subjective weight of the j-th environmental parameter obtained by the AHP method, is the objective weight of the j-th environmental parameter obtained by the entropy weight method.

[0021] Preferably, constructing the association model of the environmental impact factor and the seismic impact factor according to the impact of the environment and earthquake on the secondary sudden environmental event includes:

[0022] Establishing the network structure of the association model, including the decision-making objectives and decision-making criteria of the control layer and the elements of the network layer and the interaction relationships between the elements;

[0023] Using the association model to analyze and process the impact of the environment and earthquake on the secondary sudden environmental event;

[0024] Calculating the impact factors according to the analyzed impact of the environment and earthquake on the secondary sudden environmental event;

[0025] Calculating the risk level of the secondary sudden event according to the impact factors.

[0026] Preferably, using the association model to analyze and process the impact of the environment and earthquake on the secondary sudden environmental event includes:

[0027] Comparing the impact parameters that dominate the secondary sudden environmental event under the impact criteria of the environment and earthquake to obtain a judgment matrix;

[0028] Sorting the impact parameters in the judgment matrix according to the magnitude of the influence;

[0029] Constructing a limit supermatrix to represent the comprehensive impact of the environment and earthquake on the secondary sudden environmental event in the association model.

[0030] Preferably, it also includes constructing the loss function of the association model, specifically:

[0031]

[0032] where n is the number of training samples, is the weight decay term, is the decay factor, is the objective weight, is the indicator function, j is the jth parameter, and i is the ith type of impact factor.

[0033] Preferably, calculating the impact factors according to the analyzed impact of the environment and earthquake on the secondary sudden environmental event includes:

[0034] The impact factor is expressed as:

[0035]

[0036] where, is the relative comprehensive weight of the kth impact parameter, is the absolute comprehensive weight of the i impact parameters in the limit supermatrix.

[0037] An assessment system for the risk of earthquake-induced secondary sudden environmental events, comprising:

[0038] A data acquisition module for acquiring environmental parameters and earthquake parameters;

[0039] An association model construction module for constructing an association model between the environmental parameters and the earthquake parameters;

[0040] A risk assessment module for assessing the risk of earthquake-induced secondary sudden environmental events according to the association model.

[0041] An electronic device, comprising: a processor and a memory, the memory is used to store computer program code, the computer program code includes computer instructions, and when the processor executes the computer instructions, the electronic device executes an assessment method for the risk of earthquake-induced secondary sudden environmental events.

[0042] The beneficial effects of the present invention are as follows: 1. The present invention integrates multiple parameters that can affect earthquake-induced secondary sudden environmental events, which can greatly improve the processing efficiency, avoid the mutual influence of multiple parameters during simultaneous processing, resulting in inaccurate results, and can also reduce the data processing volume of the neural network and improve the data processing efficiency; 2. The present invention sets an association model according to the parameters of the earthquake itself and the environmental parameters of the earthquake occurrence, and predicts the risk level of earthquake-induced secondary sudden environmental events through the association model to guide rescue personnel to carry out post-disaster rescue and reconstruction work in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings here are incorporated into the specification and form a part of this specification, indicating the embodiments that conform to the present invention, and are used together with the specification to explain the principles of the present invention.

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative efforts.

[0045] Figure 1 It is a flowchart of an assessment method for the risk of earthquake-induced secondary sudden environmental events of the present invention;

[0046] Figure 2 It is a schematic diagram of the process of constructing an association model between environmental parameters and earthquake parameters of the present invention;

[0047] Figure 3 It is a schematic diagram of the process of analyzing and processing the influence of the environment and earthquake on secondary sudden environmental events by using the association model of the present invention;

[0048] Figure 4 This is a schematic diagram of the hardware structure of an electronic device according to the present invention. Specific embodiments

[0049] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0050] It should be noted that all directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention are only used to explain the relative position relationship and movement conditions between components in a specific posture (as shown in the drawings). If the specific posture changes, the directional indications will also change accordingly.

[0051] In addition, the descriptions involving "first", "second", etc. in the present invention are only for descriptive purposes, and cannot be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions between various embodiments can be combined with each other, but it must be based on the ability of those of ordinary skill in the art to implement. When the combination of technical solutions appears to be contradictory or unable to be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the protection scope required by the present invention.

[0052] The influencing factors of earthquake secondary environmental events mainly include peak ground acceleration, active faults, topography, lithology, geological structure, climate conditions, and human engineering activities. Earthquake secondary environmental events refer to a series of environmental problems caused by the direct action of an earthquake or other triggered factors after the earthquake. The influencing factors of these events are diverse and involve the comprehensive impact of natural factors and human activities on the environment. At present, the assessment of the risk of secondary sudden environmental events after an earthquake is not accurate enough, and the assessment speed is not high enough to provide a suitable reference for rescue personnel to make rescue plans.

[0053] The present invention integrates multiple parameters that can affect earthquake-induced secondary environmental emergencies, which can greatly improve the processing efficiency, avoid the mutual influence of multiple parameters during simultaneous processing, resulting in inaccurate results, and can also reduce the data processing volume of the neural network and improve the data processing efficiency; the present invention sets up an association model according to the parameters of the earthquake itself and the environmental parameters of the earthquake occurrence to predict the risk level of earthquake-induced secondary environmental emergencies, guiding rescue personnel to carry out post-disaster rescue and reconstruction work in a timely manner.

[0054] Embodiment 1

[0055] A method for assessing the risk of earthquake-induced secondary environmental emergencies, referring to Figure 1 , including:

[0056] S100, obtaining environmental parameters and earthquake parameters;

[0057] The earthquake parameters include: magnitude, focal depth, origin time, epicenter location, epicentral distance, and peak ground acceleration.

[0058] Peak ground acceleration: This is an important indicator to measure the intensity of an earthquake. High-intensity ground motion will lead to more secondary environmental events, such as landslides, mudslides, etc. Active faults: Earthquakes often occur along active fault zones, and the existence of these fault zones increases the risk of earthquake-induced secondary environmental events. Magnitude: The larger the magnitude, the greater the energy released and the greater the possible disasters. For every one-level difference in magnitude, the energy difference is about more than 30 times.

[0059] Focal depth: Under the same magnitude, the shallower the focal depth, the higher the epicentral intensity and the more severe the damage. Origin time and epicenter location: These two factors affect the direct impact of the earthquake on a specific area. Epicentral distance: It refers to the distance from the earthquake occurrence location to a certain point. The closer the distance, the greater the impact.

[0060] The environmental parameters include: Topography and landform: Different topographies and landforms respond differently to earthquakes. For example, mountainous areas are more prone to landslides and mudslides. Lithology: Soils and rocks with different lithologies have different sensitivities to earthquakes, and certain lithologies are more likely to crack and displace during earthquakes. Geological structure: The complexity of the geological structure also affects the occurrence and development of earthquake-induced secondary environmental events. Climate conditions: Climate conditions, such as rainfall, have a direct impact on secondary disasters such as landslides and mudslides. Human engineering activities: Human activities, such as building roads and buildings, may change the topography and geological structure, increasing the risk of earthquake-induced secondary environmental events. These factors interact with each other and jointly affect the occurrence and development of earthquake-induced secondary environmental events. Understanding these factors helps to better predict and respond to earthquake-induced secondary environmental events and reduce their impact on the environment and humans.

[0061] S200, construct a correlation model between environmental parameters and seismic parameters;

[0062] The risk of earthquakes is mainly affected by two main factors: magnitude and environmental conditions. Magnitude is an indicator of the amount of energy released by an earthquake. The larger the magnitude, the more energy is released and the more obvious the damage to the ground. Generally, earthquakes with a magnitude equal to or greater than 5 will cause damage. For example, for each increase of one unit on the Richter scale, the thermal energy released is approximately 32 times greater, which means that larger magnitude earthquakes release more energy and cause more severe damage. Environmental factors, especially geological structures, also have an important impact on earthquake risk. The occurrence of earthquakes is closely related to the geological structure of the location, such as whether it is located on a fault zone or at the edge of a continental plate. Due to the movement of the earth's crust and the interaction between plates in these areas, earthquakes are more likely to occur. For example, the Great East Japan Earthquake and the Wenchuan Earthquake occurred because they are located at the edge of the Asian continental plate and on a crustal fault zone respectively. The impact of earthquakes on the ecological environment cannot be ignored. After an earthquake, a large amount of solid waste may be generated, such as the remains of houses and factories, abandoned cars, broken containers and oil tanks, etc. These wastes impose a heavy burden on the environment, especially in areas with underdeveloped environmental technology, where it is extremely difficult to handle these wastes and continuous environmental hazards may be generated. The level of the risk of earthquake-induced secondary sudden environmental events is not only related to the magnitude of the earthquake, but also closely related to the geological environment and conditions of the area where the earthquake occurs. Understanding these factors helps to better assess and respond to earthquake risks.

[0063] S300, evaluate the risk of earthquake-induced secondary sudden environmental events according to the correlation model.

[0064] The risk level of earthquake-induced secondary sudden environmental events mainly depends on the severity and urgency of the environmental events triggered by the earthquake. According to the "Classification Standard and Handling Measures for Sudden Environmental Events", sudden environmental events are divided into four levels: extremely serious (Level I), major (Level II), relatively large (Level III), and general (Level IV). Specifically for earthquake-induced secondary sudden environmental events, the risk level classification may include: Extremely serious (Level I): including cases where direct deaths caused by environmental pollution reach more than 10 people or more than 100 people are poisoned; cases where more than 50,000 people need to be evacuated and transferred due to environmental pollution; cases where the direct economic loss caused by environmental pollution exceeds 100 million yuan, etc. Major (Level II): involving cases where direct deaths caused by environmental pollution are between 3 and 10 people or between 50 and 100 people are poisoned; cases where between 10,000 and 50,000 people need to be evacuated and transferred due to environmental pollution; cases where the direct economic loss caused by environmental pollution is between 20 million yuan and 100 million yuan, etc. Relatively large (Level III): including cases where direct deaths caused by environmental pollution are less than 3 people or between 10 and 50 people are poisoned, etc. The risk level of earthquake-induced secondary sudden environmental events may also include cases such as the loss of regional ecological functions caused by environmental pollution, the extinction of national key protected species, and the interruption of water intake from centralized drinking water sources in cities above the prefecture level. For cases such as the out-of-control of radioactive substances or serious accidents in nuclear facilities, they will also be regarded as extremely serious or major sudden environmental events. The classification of these risk levels is based on the severity and urgency of the environmental events that may be triggered by the earthquake. The size of the influencing factors of the present invention is used to judge the risk level of earthquake-induced secondary sudden environmental events, which can guide relevant departments to take corresponding emergency measures to minimize the losses and hazards caused by environmental events.

[0065] Preferably, referring to Figure 2 , S200, constructing the correlation model of environmental parameters and earthquake parameters includes:

[0066] S210, fusing multiple environmental parameters into an environmental impact factor;

[0067] S220, fusing multiple earthquake parameters into an earthquake impact factor;

[0068] S230, constructing the correlation model of the environmental impact factor and the earthquake impact factor according to the impacts of the environment and the earthquake on secondary sudden environmental events.

[0069] The role of multi-parameter fusion is mainly reflected in improving the reliability and robustness of the system, increasing the accuracy and comprehensiveness of information, and enhancing the data collection efficiency. Through comprehensive processing of data and information from different sources, the present invention can significantly improve the reliability and robustness of the entire system. This technology mimics the ability of humans to instinctively integrate the information detected by various organs of the body (such as eyes, ears, nose, and limbs) with prior knowledge to evaluate the surrounding environment and ongoing events. Compared with single sensors, multi-sensor fusion can enhance the survival ability of the system, improve the credibility and accuracy of data, expand the time and space coverage of the system, and increase the real-time performance and information utilization rate of the system.

[0070] Multi-parameter fusion helps improve the classification accuracy and robustness of the model and reduce the risk of overfitting. By combining different features, the performance and generalization ability of the model can be enhanced. For example, in computer vision, fusing the color features and texture features of an image can obtain better classification results. This approach can improve the robustness of the model because different features can capture different information, and when some features fail, other features can compensate for their deficiencies. At the same time, using multiple features can provide more information, making the model more generalizable and reducing the risk of overfitting. The functions of data fusion also include saving energy, improving the accuracy and comprehensiveness of information, reducing the uncertainty of information, and enhancing the practicality of the system. Through data fusion technology, the transmission of redundant data can be reduced, network energy consumption can be lowered, and energy utilization efficiency can be improved. At the same time, by analyzing and integrating data from different sensors, more accurate information can be obtained, and the data collection efficiency can be enhanced. Multi-parameter fusion, through comprehensive processing of data and information from different sources, can not only improve the performance and reliability of the system but also increase the accuracy and comprehensiveness of information, thereby enhancing the efficiency and effectiveness of the entire system.

[0071] Preferably, in S210, fusing multiple environmental parameters into an environmental impact factor includes:

[0072] The environmental impact factor is expressed as:

[0073]

[0074] where Q is the degree of influence of the environmental impact factor on the environmental event, is the geological parameter, is the terrain parameter, is the building parameter, is the degree of influence of the geological parameter on type A environmental events, is the degree of influence of the terrain parameter on type B environmental events, is the degree of influence of the building parameter on type C environmental events.

[0075] The earthquake environmental impact factors include topographic factors (such as elevation, slope, and aspect), natural factors (such as vegetation coverage and soil moisture index), and meteorological factors (such as annual precipitation and annual average temperature), etc. In the embodiments of the present invention, three major environmental parameters that have the greatest impact on the secondary sudden environmental events caused by earthquakes, namely geological parameters, topographic parameters, and building parameters, are selected and fused as the environmental impact factors.

[0076] Multiple environmental parameters can also calculate the influence weights of evaluation factors through the comprehensive evaluation index method, that is, the analytic hierarchy process (AHP) in the weighted comprehensive scoring method, and use the evaluation factor grading and weights to calculate the comprehensive ecological environment index, so as to comprehensively compare the changes in the ecological environment of the study area and summarize the changes in the ecological environment before and after the earthquake.

[0077] Preferably, obtaining the weights of multiple environmental parameters includes:

[0078] The weight of the earthquake impact factor is expressed as:

[0079]

[0080] Among them, is the weight of the jth environmental parameter, is the subjective weight of the jth environmental parameter obtained by the AHP method, is the objective weight of the jth environmental parameter obtained by the entropy weight method.

[0081] The main weight determination methods can be divided into subjective weighting methods and objective weighting methods. Subjective weighting methods are represented by the analytic hierarchy process, Delphi method, and direct scoring method, and objective weighting methods are represented by the entropy weight method, projection pursuit method, principal component analysis method, and topsis. However, subjective weighting methods generally rely on expert opinions and give the weight values of each index according to the professional knowledge and experience of experts, which has certain reference significance, but the subjectivity is too high and there may be a large deviation from the actual situation; objective weighting methods can fully explore the information and laws contained in the data, but they rely too much on the data itself and do not consider the uncertain factors in the study area. In the embodiments of the present invention, the AHP method and the entropy weight method are respectively used to calculate the subjective and objective weights of the evaluation indexes, the subjective weight and the objective weight are fused to obtain the combined weight, and this method is applied to the impact risk assessment of earthquakes on secondary sudden environmental events to analyze the impact of earthquakes on secondary sudden environmental events, and the research results can provide a basis for the disaster reduction work of earthquakes on secondary sudden environmental events.

[0082] Preferably, S230, constructing the association model of environmental impact factors and earthquake impact factors according to the impact of the environment and earthquakes on secondary sudden environmental events includes:

[0083] S231. Establish an associated model network structure, including the decision-making objectives and decision-making criteria of the control layer and the elements of the network layer and the interaction relationships between the elements.

[0084] S232. Use the associated model to analyze and process the impacts of the environment and earthquakes on secondary sudden environmental events.

[0085] S233. Calculate the impact factors based on the analyzed impacts of the environment and earthquakes on secondary sudden environmental events.

[0086] S234. Calculate the risk levels of secondary sudden events based on the impact factors.

[0087] In the embodiment of the present invention, if the value of the impact factor is large, the risk level of the secondary sudden environmental event will also increase. According to the actual situation, the impact factors are quantitatively evaluated for the risk level of the secondary sudden environmental event, and four levels are obtained: particularly serious (Level I), major (Level II), relatively large (Level III), and general (Level IV). The risks of secondary sudden environmental events at the four levels are obtained.

[0088] Preferably, referring to Figure 3 , S232. Using the associated model to analyze and process the impacts of the environment and earthquakes on secondary sudden environmental events includes:

[0089] S2321. Compare the impact parameters that dominate the secondary sudden environmental event under the impact criteria of the environment and earthquakes to obtain a judgment matrix.

[0090] S2322. Sort the impact parameters in the judgment matrix according to the magnitude of their influence.

[0091] S2323. Construct a limit supermatrix to represent the comprehensive impact of the environment and earthquakes on secondary sudden environmental events in the associated model.

[0092] Analyze and process the internal association relationships of the associated model: First, pairwise compare the dominated elements (or element clusters) under a certain criterion (sub-criterion) to obtain a judgment matrix, and obtain the corresponding importance ranking of the influence through the AHP method; then, establish an ANP supermatrix and obtain a weighted supermatrix; finally, take the limit of the weighted supermatrix, and the limit weight vector of the obtained limit supermatrix is the comprehensive importance ranking vector (referred to as the absolute comprehensive weight) that includes the internal association relationships of the associated model.

[0093] Preferably, it further includes constructing a loss function of the associated model, specifically:

[0094]

[0095] where n is the number of training samples. is the weight decay term, is the decay factor, is the objective weight, is the indicator function, j is the j-th parameter, and i is the i-th impact factor.

[0096] The loss function of a neural network is a function used to measure the gap between the output result of the neural network model and the true result. The loss function in a neural network is directly related to the final convergence degree and performance of the model. The role of the loss function is to map the value of a random event or its related random variable to a non-negative real number to represent the "risk" or "loss" of the random event, and is used to measure the deviation degree between the predicted value and the actual value. In machine learning, the loss function is part of the cost function, and the cost function is a type of objective function. By minimizing the loss function, the model can be solved and evaluated.

[0097] Preferably, calculating the impact factor according to the analyzed impact of the environment and earthquake on secondary sudden environmental events includes:

[0098] The impact factor is expressed as:

[0099]

[0100] wherein, is the relative comprehensive weight of the k-th impact parameter, is the absolute comprehensive weight of the i impact parameters in the limit supermatrix.

[0101] The impact factor can help quantify the risk of earthquake secondary disasters in earthquake risk assessment, provide a basis for risk management, and improve the ability to respond to earthquake secondary disasters. Earthquake risk assessment is a complex process involving the consideration of multiple impact factors. These impact factors include the probability of earthquake occurrence, the potential losses caused by the earthquake, and social and economic factors, etc. By analyzing these impact factors, the earthquake risk can be qualitatively and quantitatively evaluated, so as to provide a scientific basis for decision-makers and formulate effective disaster prevention and mitigation measures. Earthquake secondary disaster risk prediction and assessment: By analyzing the risk impact factors of earthquake secondary disasters, the losses caused by future earthquake secondary disaster events can be predicted and evaluated. This includes considering factors such as the frequency, intensity of the earthquake, and the possible secondary disasters. The role of the impact factor in earthquake risk assessment is to help decision-makers better understand the risk of earthquake secondary disasters through quantitative analysis, formulate corresponding prevention and response measures, so as to improve the ability and efficiency of society to resist earthquake secondary disasters. In the embodiments of the present invention, the risk level of secondary sudden environmental events can be quantified through the impact factor, so as to better guide the society in post-disaster rescue and reconstruction activities.

[0102] Embodiment 2

[0103] An assessment system for the risk of earthquake-induced secondary sudden environmental events, comprising:

[0104] A data acquisition module for acquiring environmental parameters and earthquake parameters;

[0105] An association model construction module for constructing an association model between environmental parameters and earthquake parameters;

[0106] A risk assessment module for assessing the risk of earthquake-induced secondary sudden environmental events according to the association model.

[0107] Embodiment 3

[0108] An electronic device, comprising: a processor and a memory, the memory being used for storing computer program code, the computer program code including computer instructions, and when the processor executes the computer instructions, the electronic device executes an assessment method for the risk of earthquake-induced secondary sudden environmental events.

[0109] Reference Figure 4 , the electronic device 2 includes a processor 21, a memory 22, an input device 23, and an output device 24. The processor 21, the memory 22, the input device 23, and the output device 24 are coupled through a connector, and the connector includes various interfaces, transmission lines, or buses, etc., which are not limited in the embodiments of the present invention. It should be understood that in various embodiments of the present invention, coupling means being interconnected in a specific manner, including being directly connected or indirectly connected through other devices, for example, being connected through various interfaces, transmission lines, buses, etc.

[0110] The processor 21 may be one or more graphics processing units (GPUs). In the case where the processor 21 is a single GPU, the GPU may be a single-core GPU or a multi-core GPU. Optionally, the processor 21 may be a processor group composed of multiple GPUs, and multiple processors are coupled to each other through one or more buses. Optionally, the processor may also be other types of processors, etc., which are not limited in the embodiments of the present invention.

[0111] The memory 22 can be used to store computer program instructions and various computer program codes including the program codes for implementing the solution of the present invention. Optionally, the memory includes, but is not limited to, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), or a compact disc read-only memory (CD-ROM), and is used for storing relevant instructions and data.

[0112] The input device 23 is used for inputting data and / or signals, and the output device 24 is used for outputting data and / or signals. The output device 24 and the input device 23 can be independent devices or an integrated device.

[0113] The present invention integrates multiple parameters that can affect earthquake secondary sudden environmental events, which can greatly improve the processing efficiency, avoid the mutual influence of multiple parameters during simultaneous processing, resulting in inaccurate results, and can also reduce the data processing volume of the neural network and improve the data processing efficiency; the present invention sets up an association model according to the parameters of the earthquake itself and the parameters of the earthquake occurrence environment, and predicts the risk level of earthquake secondary sudden environmental events through the association model to guide rescue workers to carry out post-disaster rescue and reconstruction work in a timely manner.

[0114] The above are only specific embodiments of the present invention, enabling those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather conform to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for assessing the risk of sudden environmental events secondary to earthquakes, characterized in that: include: Obtain environmental parameters and earthquake parameters; Constructing a correlation model between the environmental parameters and earthquake parameters; Assessing the risk of sudden environmental events secondary to earthquakes based on the association model; Wherein, the construction of the correlation model between the environmental parameters and the earthquake parameters includes: Multiple environmental parameters are integrated into environmental impact factors, which are expressed as: ； Among them, Q is the influence degree of environmental impact factors on environmental events, is the geological parameter, is the terrain parameter, are the building parameters, is the influence of geological parameters on Class A environmental events, is the influence of terrain parameters on type B environmental events, is the influence degree of building parameters on Class C environmental events; Determining the weights of the multiple environmental parameters includes: the weights of the environmental impact factors are expressed as: ， in, is the weight of the jth environmental parameter, is the subjective weight of the jth environmental parameter obtained using the AHP method, is the objective weight of the jth environmental parameter obtained using the entropy weight method; Merge multiple earthquake parameters into earthquake impact factors; According to the influence of environment and earthquake on secondary sudden environmental events, a correlation model between the environmental influencing factors and the earthquake influencing factors is constructed; The influence of environment and earthquake on secondary sudden environmental events is analyzed and processed by using the association model, including: comparing the influence parameters that dominate secondary sudden environmental events under the influence criteria of environment and earthquake on secondary sudden environmental events to obtain a judgment matrix; sorting the influence parameters in the judgment matrix according to the magnitude of influence; constructing a limit supermatrix to represent the comprehensive influence of environment and earthquake on secondary sudden environmental events in the association model; wherein the limit weight vector of the limit supermatrix is ​​a comprehensive importance ranking vector that includes the internal correlation relationship of the association model, that is, the absolute comprehensive weight; The impact factor is calculated based on the analyzed impact of the environment and earthquake on the secondary sudden environmental events, and the impact factor is expressed as: ， in, is the relative comprehensive weight of the kth influencing parameter, is the absolute comprehensive weight of the i influencing parameters in the extreme supermatrix.

2. The method for assessing the risk of sudden environmental events secondary to earthquakes according to claim 1, characterized in that: Before analyzing and processing the impact of the environment and earthquake on the secondary sudden environmental events using the correlation model, the method further includes: Establish the network structure of the association model, including the decision-making objectives and decision-making criteria of the control layer and the interaction relationship between the elements and elements of the network layer; After calculating the impact factor based on the analyzed impact of the environment and earthquake on the secondary sudden environmental event, the method further includes: The risk level of the secondary emergency is calculated based on the impact factor.

3. The method for assessing the risk of sudden environmental events secondary to earthquakes according to claim 2, characterized in that: It also includes constructing a loss function of the association model, specifically: ； Among them, n is the number of training samples, is the weight decay term, is the attenuation factor, is the objective weight, is the indicator function, j is the jth parameter, and i is the i-th influencing factor.

4. An assessment system for the risk of sudden environmental events secondary to earthquakes, characterized in that: A method for assessing the risk of sudden environmental events secondary to an earthquake as claimed in any one of claims 1 to 3 is applied, comprising: A data acquisition module, used to acquire environmental parameters and earthquake parameters; A correlation model building module, used to build a correlation model of the environmental parameters and earthquake parameters; The risk assessment module is used to assess the risk of sudden environmental events secondary to earthquakes based on the association model.

5. An electronic device, characterized in that: include: A processor and a memory, wherein the memory is used to store computer program codes, wherein the computer program codes include computer instructions. When the processor executes the computer instructions, the electronic device executes a method for assessing the risk of secondary sudden environmental events caused by earthquakes as described in any one of claims 1 to 3.

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