Geological disaster pregnancy environment health monitoring and early warning method

Abstract

The invention relates to the technical field of geological disasters, in particular to a geological disaster pregnant environment health monitoring and early warning method, and the method comprises the steps: obtaining real-time updated influence factors, such as landform factors, geological structure factors, hydrological factors, engineering factors and historical disaster conditions, of an evaluation region through employing the Internet of Things; and by constructing a disaster-pregnant environment health assessment index system and utilizing a powerful geographic analysis function of a GIS, refined assessment of regional disaster-pregnant environment health risks is completed, and geological disasters are prevented and controlled.

Description

Technical Field

[0001] The present invention relates to the technical field of geological disasters, and in particular to a method for monitoring and warning the health of a geological disaster-prone environment. Background Art

[0002] Geological disasters are the product of geological action, born with the movement of the earth, and closely related to human activities. The time and place of their occurrence are uncertain and affected by many factors. At the same time, they also show periodic characteristics, usually occurring more frequently in specific seasons (such as rainy season). They are characterized by suddenness and gradualness. Sudden disasters (such as earthquakes and volcanic eruptions) are characterized by sudden occurrence and rapid disaster, while gradual disasters (such as land desertification and soil erosion) develop slowly. The occurrence and development of geological disasters have their own complex laws, and their impact on human social economy shows long-term and complex characteristics. Major geological disasters often cause a large number of casualties and huge economic losses. Through the study of the disaster-prone environment of geological disasters, the occurrence of geological disasters can be predicted and prevented, thereby reducing their threats to human society.

[0003] Traditional geological disaster monitoring technology is to understand the nature and stability of underground rock formations through drilling and core collection, and predict the possibility of geological disasters such as landslides and rockfalls. Groundwater monitoring technology also plays an important role in the prediction and prevention of geological disasters. By monitoring the changes in parameters such as groundwater level, water pressure and water quality, signs of geological disasters can be discovered in advance; emerging geological disaster monitoring technology is to use GPS, RS, GIS technology to monitor seismic activity, surface subsidence and landslide displacement, and prevent the occurrence of geological disasters.

[0004] At present, the existing models are applicable to a large regional scale and do not fully consider the actual conditions of topography, geological structure, hydrological conditions, and engineering factors in different regions. They cannot meet the health risk assessment of regional geological disaster-prone environments. At the same time, the evaluation indicators of traditional geological hazard risk assessment models are not comprehensive and cannot achieve dynamic and accurate geological hazard risk assessment. Summary of the invention

[0005] In view of this, the purpose of the present invention is to provide a method for monitoring and early warning of geological disaster-prone environmental health. By utilizing the Internet of Things to obtain real-time updated influencing factors such as topographic and geomorphic factors, geological structural factors, hydrological factors, engineering factors, and historical disaster situations in the evaluation area, a complete disaster-prone environmental health assessment index system is constructed. By utilizing the powerful geographic analysis function of GIS, a refined assessment of regional disaster-prone environmental health risks is carried out, which can effectively prevent and control geological disasters.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for monitoring and early warning of geological disaster-prone environmental health, the method comprising the following steps: S1. Real-time acquisition of geological disaster data based on Internet of Things technology; S2, receiving geological disaster data dynamically based on the information volume model to conduct information volume analysis on geological disaster influencing factors; S3. Evaluate the health level and risk grade of the geological disaster-prone environment based on GIS technology to obtain the health risk assessment results of the entire region.

[0007] In particular, the geological disaster data in S1 is acquired by region based on the Internet of Things technology, and the data at least includes: topographic factors, geological structural factors, hydrological factors, engineering factors and historical disaster conditions of the area to be evaluated.

[0008] In particular, the information volume model in S2 performs information volume analysis on geological disaster impact factors as follows: in, Represents the total information value of a single evaluation unit, n is the number of evaluation factors, Show evaluation factors The amount of information provided for geological disaster events H, S is the total number of evaluation units, For the evaluation factors The number of evaluation units, N is the total number of disaster points, For the evaluation factors The number of disaster points below.

[0009] In particular, the GIS-based method evaluates the health level and risk level of the geological disaster-prone environment, obtains the information value of each evaluation indicator through the information volume model, and uses the factor-weighted overlay method in ArcGIS to obtain the health risk level of the evaluation unit's disaster-prone environment. Based on the results obtained, the natural break method is used to obtain the regional health risk level of the disaster-prone environment, and then a health risk assessment is conducted on the entire region.

[0010] Furthermore, the GIS-based evaluation of the health level and risk grade of the geological hazard-prone environment obtains the total information value of the regional evaluation unit, and the GIS technology is also used to render the above map to intuitively display the level of the geological hazard-prone environment.

[0011] Preferably, the method for monitoring and warning the health of a geological disaster-prone environment further generates a geological disaster-prone environment risk level assessment report based on the geological disaster-prone environment risk assessment result.

[0012] Compared with the prior art, the present invention has the following beneficial effects:

[0013] 1. The present invention improves the traditional geological disaster risk assessment model. By tracking and analyzing the topographic and geomorphic factors, geological structural factors, hydrological factors, engineering factors and historical disaster distribution that affect geological disasters, the present invention finds the relationship between the inherent driving mechanism of various geological disaster factors and the health level of the geological disaster-prone environment, and can conduct a refined assessment of the health level of the geological disaster-prone environment.

[0014] 2. Based on the assessment of the health level of the geological disaster-prone environment of the present invention, the main influencing factors affecting the health of the regional geological disaster-prone environment can be inferred. On this basis, targeted and scientific suggestions can be provided for regional geological disaster hazards and prevention and control measures, providing support for early geological disaster prevention and control.

[0015] 3. Based on the coupling of Internet of Things technology and GIS technology, the present invention provides comprehensive and accurate data support for geological disaster assessment models and realizes real-time and dynamic geological disaster risk assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the overall process of the disaster-prone environmental health risk assessment model of the present invention; Figure 2 This is a diagram of the health risk assessment index system for the geological disaster-prone environment of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 are within the scope of protection of the present invention.

[0018] The present invention obtains the geological disaster influencing factors such as topographic factors, geological structural factors, hydrological factors, engineering factors and historical disaster conditions in the evaluation area through the Internet of Things, uses the information volume model to conduct a comprehensive analysis of these geological disaster influencing factors, and then uses GIS technology to obtain the total information volume value of the regional evaluation unit and realize the rendering of the above map, intuitively displaying the level of geological disaster-prone environment, thereby realizing the geological disaster risk level assessment of the evaluation area. The main steps are as follows:

[0019] S1. Use the Internet of Things to obtain regional geological disaster impact indicators.

[0020] S2. Use the information volume model to obtain the information volume value of geological disaster influencing factors.

[0021] S3. Use GIS technology to assess the health level and risk level of the geological disaster-prone environment.

[0022] Specifically, Figure 1 As shown:

[0023] 1. Use the Internet of Things to build a complete indicator system:

[0024] Geological disasters have both natural and social attributes. The natural attribute of geological disasters is that they are a fragment of the long evolution of geological bodies and a natural phenomenon. The characteristics of geological disaster-bearing bodies (people, objects, engineering facilities, and the environment) determine that they also have typical social attributes. Therefore, a systematic risk assessment of geological disaster-prone environments should include an assessment of both their natural attributes and their social attributes. On this basis, a risk assessment index system for geological disaster-prone environments should be established. The establishment of the index system fully considers its natural and social attributes. On this basis, 5 first-level indicators and 13 second-level indicators are selected, such as Figure 2 shown.

[0025] 2. Use the information volume model to obtain each information volume value:

[0026] The main idea of ​​the information method in the risk assessment of geological disaster-prone environments is to convert the measured values ​​of various factors affecting regional stability into information values ​​reflecting regional stability based on the actual situation and information provided in the deformed or damaged areas. According to the statistical analysis method, the amount of information provided by each influencing factor to the research object is calculated to evaluate the closeness of the relationship between each influencing factor and the research object, thereby evaluating the risk of geological disaster-prone environments in the entire region. The information weight is calculated through probability, and the overall probability is calculated using the sample frequency in actual calculations.

[0027] The information volume model is a statistical method based on quantifiable values. It uses the density of disaster points to calculate the amount of information about the occurrence of geological disasters under different intervals of various disaster factors, and then performs grid superposition of information to judge and predict the probability of disaster occurrence, thereby converting the degree of danger into a quantitative indicator and realizing the zoning of danger. The evaluation based on the information volume method can not only reflect the relative sensitivity of various disaster-causing factors, but also reflect the contribution of different element intervals in specific disaster-causing factors to disasters. Moreover, the information volume model has good flexibility and is suitable for susceptibility assessments of different scales. The viewpoint of information prediction believes that the occurrence of geological disasters is related to the influencing factors in the evaluation process, and is measured by the size of the information volume value of the attribute segments of various major influencing factors. The specific formula is as follows:

[0028] Where: is the evaluation factor group, The amount of information provided for geological hazards, For geological disasters in the factors, The probability of occurrence of a combination.

[0029] By conditional probability, it can be further written as: Where: The amount of individual information provided by each factor on geological hazards.

[0030] The amount of information and each factor are established as follows:

[0031] (1) Under theoretical probability, the amount of information provided by each factor xi on the occurrence of geological disasters (H) is calculated separately, as shown in the following formula: Where: S is the total number of evaluation units, For the evaluation factors The number of evaluation units, N is the total number of disaster points, For the evaluation factors The following disaster points are used, for example: is the total number of disaster grids within 100m from the river, N is the total number of grids occupied by disasters, is the total number of grids that are 100 meters away from the river, and S is the total number of grids in the study area.

[0032] (2) Calculate the total amount of information in a single evaluation unit: Where: is the total information value of the evaluation unit, and n is the number of evaluation factors.

[0033] The total amount of information is used as a comprehensive indicator of the impact of the unit on the occurrence of disaster points. Within a certain range, the larger the value, the more conducive it is to the occurrence of disaster points, and the higher the danger of the disaster point unit.

[0034] 3. Use the factor-weighted overlay method and the natural break method combined with GIS technology to obtain the health risk level of the evaluation area.

[0035] The information value of each evaluation indicator is obtained through the information volume model, and the factor-weighted overlay method in ArcGIS is used to obtain the health risk level of the disaster-prone environment in the evaluation unit. Based on the results, the natural break method is used to obtain the regional health risk level of the disaster-prone environment, and then a health risk assessment is conducted on the entire region.

[0036] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may 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 the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for monitoring and early warning of geological disaster-prone environmental health, characterized in that: The method comprises the following steps: S1. Real-time acquisition of geological disaster data based on Internet of Things technology; S2, receiving geological disaster data dynamically based on the information volume model to conduct information volume analysis on geological disaster influencing factors; S3. Evaluate the health level and risk grade of the geological disaster-prone environment based on GIS technology to obtain the health risk assessment results of the entire region.

2. The method for monitoring and early warning of geological disaster-prone environmental health according to claim 1 is characterized in that: In S1, real-time acquisition of geological disaster data by region based on the Internet of Things technology is performed; The data shall at least include: topographic and geomorphic factors, geological structural factors, hydrological factors, engineering factors and historical disaster situations of the area to be evaluated.

3. The method for monitoring and early warning of geological disaster-prone environmental health according to claim 1 is characterized in that: The information volume analysis formula of geological disaster impact factors using the information volume model in S2 is as follows: in Represents the total information value of a single evaluation unit, n is the number of evaluation factors, Indicates the evaluation factors The amount of information provided for geological disaster events H, S is the total number of evaluation units, For the evaluation factors The number of evaluation units, N is the total number of disaster points, For the evaluation factors The number of disaster points below.

4. The method for monitoring and early warning of geological disaster-prone environmental health according to claim 1 is characterized in that: The GIS-based method is used to evaluate the health level and risk level of the geological disaster-prone environment, obtain the information value of each evaluation indicator through the information volume model, and use the factor weighted overlay method in ArcGIS to obtain the health risk level of the evaluation unit's disaster-prone environment. Based on the obtained results, the natural break method is used to obtain the regional health risk level of the disaster-prone environment, and then a health risk assessment is conducted on the entire region.

5. The method for monitoring and early warning of geological disaster-prone environmental health according to claim 4 is characterized in that: The GIS-based evaluation of the health level and risk grade of the geological disaster-prone environment obtains the total information value of the regional evaluation unit, and also uses GIS technology to render the above map to intuitively display the level of the geological disaster-prone environment.

6. The method for monitoring and early warning of geological disaster-prone environmental health according to claim 1 is characterized in that: The method for monitoring and warning the health of a geological disaster-prone environment also generates a geological disaster-prone environment risk level assessment report based on the geological disaster-prone environment risk assessment result.

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