CN111507539A - Debris flow danger level evaluation method and system based on analytic hierarchy process - Google Patents
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Abstract
The invention discloses a debris flow danger grade evaluation method and a system based on an analytic hierarchy process, and the technical scheme comprises the following steps: acquiring disaster environment information, and extracting effective data in the disaster environment information; acquiring geological data about disaster causes; carrying out weight calculation on the cause of the debris flow by an analytic hierarchy process, and dividing danger grades; and correspondingly simulating and generating a three-dimensional numerical model according to the risk level, and performing disaster simulation and risk evaluation. The method can accurately and efficiently judge disaster generating conditions and the danger degree, classify the damage degree of the debris flow in advance, simulate the three-dimensional dynamic disaster in a high-risk area, and reduce the loss caused by the debris flow disaster.
Description
Technical Field
The invention relates to the field of engineering geology, in particular to a debris flow danger level evaluation method and system based on an analytic hierarchy process.
Background
Debris flow is a natural geological phenomenon that occurs in special floods in mountainous areas, viscous fluid formed by mixing a large amount of solid substances such as silt, broken stones and the like and water is concentrated in rainstorms or brooks to flow rapidly under the action of gravity. The debris flow disaster has the characteristics of large energy, strong explosiveness and great harm, and can cause irreversible damage to the environment and seriously threaten the safety of human life and property.
The formation of the debris flow has to have three conditions of a large amount of loose solid matters, sufficient water sources and steep terrains, the terrain of China is complex, the mountainous regions are numerous, most mountainous regions have abundant rainfall and large altitude difference, and debris flow disasters are easy to occur. Therefore, the research on the debris flow generation mechanism reduces the occurrence probability of debris flow disasters, and has very important significance in preventing and treating the debris flow disasters in time.
At present, the treatment of debris flow disasters generally takes prediction and protection as main points. The protective measures mostly reduce the generation probability of debris flow through modes of water interception and drainage, retaining and reinforcement, drainage and dredging, tree planting and forestation and the like. However, for large debris flow disasters, the dependence on prevention and treatment measures is very limited, and the life safety of people in the disaster area is difficult to guarantee. The forecasting method is to comprehensively judge according to the monitoring data of the surrounding environment before the debris flow occurs, so as to realize the early forecasting of the disaster. The inventor finds that accurate prediction cannot be realized due to the fact that monitoring data are prone to deviation.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a debris flow danger grade evaluation method and system based on an analytic hierarchy process, which can accurately and efficiently judge disaster generation conditions and danger degrees, carry out grade classification on the damage degree of the debris flow in advance, carry out three-dimensional dynamic disaster simulation on a high-risk area and reduce the loss caused by the debris flow disaster.
In order to achieve the purpose, the invention is realized by the following technical scheme:
in a first aspect, an embodiment of the present invention provides a debris flow risk level evaluation method based on an analytic hierarchy process, including:
acquiring disaster environment information, and extracting effective data in the disaster environment information;
acquiring geological data about disaster causes;
carrying out weight calculation on the cause of the debris flow by an analytic hierarchy process, and dividing danger grades;
and correspondingly simulating and generating a three-dimensional numerical model according to the risk level, and performing disaster simulation and risk evaluation.
In a second aspect, an embodiment of the present invention further provides a debris flow risk level evaluation system based on an analytic hierarchy process, including:
the disaster environment information acquisition module is used for acquiring disaster environment information and extracting effective data in the disaster environment information;
the geological data acquisition module is used for acquiring geological data about disaster causes;
the debris flow danger grade division module is used for carrying out weight calculation on the cause of the debris flow through an analytic hierarchy process and dividing danger grades;
and the risk grade processing module is used for generating a three-dimensional numerical model according to the corresponding simulation of the risk grade, and performing disaster simulation and risk evaluation.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the method for evaluating a risk level of a debris flow based on an analytic hierarchy process when executing the program.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for evaluating a risk level of a debris flow based on an analytic hierarchy process.
The beneficial effects of the above-mentioned embodiment of the present invention are as follows:
one or more embodiments of the invention perform high-precision geospatial acquisition on a debris flow disaster area in a remote sensing system, perform debris flow disaster risk grade evaluation by taking the rock crushing degree and the rock stratum longitudinal slope-to-grade ratio as original data and fusing factors such as rock weathering degree, precipitation amount, flow velocity, runoff condition, ground stress, crustal activity degree and the like, perform weight analysis by combining various factors and a layer hierarchy analysis method in a digital and high-precision rock stratum space detection and fine geological survey mode, accurately and efficiently judge disaster generation conditions and risk degree, perform grade classification on the damage degree of the debris flow in advance, perform three-dimensional dynamic disaster simulation on a high-risk area, avoid personal casualties caused by large and ultra-large debris flow disasters and reduce loss caused by the debris flow disasters.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a flow diagram of the present invention in accordance with one or more embodiments.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an", and/or "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof;
the first embodiment is as follows:
the embodiment provides a debris flow disaster risk grade evaluation method based on the combination of different factors to evaluate risk grades of debris flow frequent areas and implement corresponding measures on different risk areas so as to reduce damage caused by debris flow. Which comprises the following steps:
the method comprises the following steps: disaster environment information is collected through remote sensing, collected occurrence information is screened, and indexes which accord with actual environment are extracted; the method is characterized in that the sources of solids and flowing water are mastered through geological exploration, and the crushing degree of rocks and the longitudinal slope-to-gradient ratio of rock strata are subjected to data acquisition and serve as original data.
Step two: and performing geological survey, acquiring relevant geological data related to disaster causes, and processing and rechecking the data by using corresponding post-processing software.
1. Through on-site hydrogeological investigation and reference of meteorological information, the data of precipitation, flow velocity and runoff conditions are mastered.
2. And (4) performing key detection (faults, broken zones, water containing conditions and the like) on areas with serious surrounding rock breakage by combining the exploration data and the geophysical prospecting technology in the previous period.
Step three: analyzing primary and secondary factors according to geological environment by combining geological information acquired by remote sensing and influence factors; influence degree division is carried out on factors generating debris flow through an analytic hierarchy process, weights are given to items, risk degree calculation is carried out, and risk grades are divided.
1. Establishing a hierarchical structure model; the target layer C is the debris flow risk, the factor generated by the debris flow is used as the intermediate layer B, and the influence factor of the intermediate layer B is B1Degree of rock fragmentation, B2Precipitation amount, B3Longitudinal slope-to-fall ratio of rock stratum, B4Flow rate and velocity B5Ground stress, B6And (4) runoff conditions.
2. Constructing a judgment (pair comparison) matrix;
(1) and determining the evaluation standard of the influence factors according to the scale table.
TABLE 1 Scale of proportions
(2) Establishing a judgment matrix and calculating a weight vector:
TABLE 2 geological information and influence factors Table
Establishing a judgment matrix according to table 2:
according to the formulaWherein b isniB in line nn;Orthogonalizing the resultant vector to obtain a weight vector WBi。
The weight vectors sought are shown in the following table:
table 3 weight vectors
3. Hierarchical single ordering and consistency check thereof
4. And assigning and calculating the debris flow risk according to the obtained weight vector.
TABLE 4 debris flow danger degree meter
Step four: and generating a three-dimensional numerical model according to the exploration data and the remote sensing data, and performing disaster simulation and risk price.
Step five: and (5) comprehensively explaining. And comprehensively evaluating and predicting the debris flow risk by combining the risk degree and the three-dimensional numerical model, so that the disaster risk is minimized.
Example two:
the embodiment provides a debris flow danger level evaluation system based on analytic hierarchy process, includes:
the disaster environment information acquisition module is used for acquiring disaster environment information and extracting effective data in the disaster environment information;
the geological data acquisition module is used for acquiring geological data about disaster causes;
the debris flow danger grade division module is used for carrying out weight calculation on the cause of the debris flow through an analytic hierarchy process and dividing danger grades;
and the risk grade processing module is used for generating a three-dimensional numerical model according to the corresponding simulation of the risk grade, and performing disaster simulation and risk evaluation.
Example three:
the embodiment provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the debris flow risk level evaluation method based on the analytic hierarchy process.
Example four:
the present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, implements the method for evaluating a risk level of a debris flow based on an analytic hierarchy process.
The steps involved in the second to fourth embodiments correspond to the first embodiment of the method, and the detailed description thereof can be found in the relevant description of the first embodiment. The term "computer-readable storage medium" should be taken to include a single medium or multiple media containing one or more sets of instructions; it should also be understood to include any medium that is capable of storing, encoding or carrying a set of instructions for execution by a processor and that cause the processor to perform any of the methods of the present invention.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A debris flow danger grade evaluation method based on an analytic hierarchy process is characterized by comprising the following steps:
acquiring disaster environment information, and extracting effective data in the disaster environment information;
acquiring geological data about disaster causes;
carrying out weight calculation on the cause of the debris flow by an analytic hierarchy process, and dividing danger grades;
and correspondingly simulating and generating a three-dimensional numerical model according to the risk level, and performing disaster simulation and risk evaluation.
2. The method for evaluating the risk level of the debris flow based on the analytic hierarchy process of claim 1, wherein disaster environment information is collected by remote sensing, and the breaking degree of rock and the longitudinal gradient ratio data of the rock are collected as raw data.
3. The method for evaluating the risk level of the debris flow based on the analytic hierarchy process of claim 1, wherein geological data related to disaster causes are obtained through geological exploration, and the geological data are processed and rechecked.
4. The debris flow danger rating evaluation method based on the analytic hierarchy process as claimed in claim 2, wherein the primary and secondary factors are analyzed according to geological environment by combining geological information and influence factors acquired by remote sensing; influence degree division is carried out on factors generating debris flow through an analytic hierarchy process, weights are given to items, risk degree calculation is carried out, and risk grades are divided.
5. The debris flow danger rating evaluation method based on the analytic hierarchy process as claimed in claim 4, wherein a hierarchical structure model is firstly established, then a judgment matrix is constructed, and a hierarchical single-rank order and consistency check thereof are performed; and assigning values to calculate the debris flow risk according to the obtained weight vector.
6. The debris flow risk rating evaluation method based on the analytic hierarchy process of claim 5, wherein the weight of the influence factors is determined according to a scale table, the severity of the influence factors is divided, and the divided disaster risk is calculated through a risk degree formula.
7. The analytic hierarchy process-based debris flow risk rating evaluation method of claim 1, wherein the risk evaluation is followed by comprehensive interpretation.
8. A debris flow danger level evaluation system based on an analytic hierarchy process is characterized by comprising:
the disaster environment information acquisition module is used for acquiring disaster environment information and extracting effective data in the disaster environment information;
the geological data acquisition module is used for acquiring geological data about disaster causes;
the debris flow danger grade division module is used for carrying out weight calculation on the cause of the debris flow through an analytic hierarchy process and dividing danger grades;
and the risk grade processing module is used for generating a three-dimensional numerical model according to the corresponding simulation of the risk grade, and performing disaster simulation and risk evaluation.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the method for risk rating of a debris flow based on an analytic hierarchy process according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the method for risk level evaluation of a debris flow based on an analytic hierarchy process according to any one of claims 1 to 7.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113420722A (en) * | 2021-07-21 | 2021-09-21 | 上海塞嘉电子科技有限公司 | Emergency linkage method and system for airport security management platform |
CN114863262A (en) * | 2022-05-07 | 2022-08-05 | 广东海洋大学 | Fracture risk evaluation method and early warning system |
CN116050824A (en) * | 2022-12-14 | 2023-05-02 | 应急管理部国家自然灾害防治研究院 | Situation awareness and emergency evaluation method and system for composite disasters |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106683184A (en) * | 2017-01-04 | 2017-05-17 | 朱军 | Mud-rock flow disaster process rapid simulation and visualization analysis method in network environment |
CN107943880A (en) * | 2017-11-15 | 2018-04-20 | 国网四川省电力公司经济技术研究院 | A kind of susceptibility of geological hazards based on analytic hierarchy process (AHP) improves appraisal procedure |
-
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106683184A (en) * | 2017-01-04 | 2017-05-17 | 朱军 | Mud-rock flow disaster process rapid simulation and visualization analysis method in network environment |
CN107943880A (en) * | 2017-11-15 | 2018-04-20 | 国网四川省电力公司经济技术研究院 | A kind of susceptibility of geological hazards based on analytic hierarchy process (AHP) improves appraisal procedure |
Non-Patent Citations (1)
Title |
---|
裴申洲: ""基于GIS的白朗县泥石流灾害易发性评价研究"" * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
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CN113420722A (en) * | 2021-07-21 | 2021-09-21 | 上海塞嘉电子科技有限公司 | Emergency linkage method and system for airport security management platform |
CN113420722B (en) * | 2021-07-21 | 2023-02-17 | 上海塞嘉电子科技有限公司 | Emergency linkage method and system for airport security management platform |
CN114863262A (en) * | 2022-05-07 | 2022-08-05 | 广东海洋大学 | Fracture risk evaluation method and early warning system |
CN114863262B (en) * | 2022-05-07 | 2024-03-26 | 广东海洋大学 | Crack flow risk evaluation method and early warning system |
CN116050824A (en) * | 2022-12-14 | 2023-05-02 | 应急管理部国家自然灾害防治研究院 | Situation awareness and emergency evaluation method and system for composite disasters |
CN116050824B (en) * | 2022-12-14 | 2024-04-30 | 应急管理部国家自然灾害防治研究院 | Situation awareness and emergency evaluation method and system for composite disasters |
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