CN113888031A - Landslide hazard risk evaluation method, landslide hazard risk evaluation device, electronic device, and medium - Google Patents

Landslide hazard risk evaluation method, landslide hazard risk evaluation device, electronic device, and medium Download PDF

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CN113888031A
CN113888031A CN202111259174.6A CN202111259174A CN113888031A CN 113888031 A CN113888031 A CN 113888031A CN 202111259174 A CN202111259174 A CN 202111259174A CN 113888031 A CN113888031 A CN 113888031A
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高姣姣
颜宇森
田勇
朱杰
肖秋平
韩超
尚掩库
宗乐斌
胡海燕
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Abstract

Provides an evaluation method for landslide hazard danger in a long oil and gas pipeline area. The method comprises the following steps: determining main control factors of landslide disasters; determining a grid map of the evaluation area; obtaining the information quantity value of each main control factor in the grid map; based on a GIS information fusion technology, obtaining a total information quantity value of the main control factors in the grid map, and determining a landslide disaster susceptibility subarea map; quantitatively assigning values to the laying states of each section of pipeline to obtain a pipeline laying state diagram in the evaluation area; compositely superposing the landslide disaster susceptibility zoning map and the pipeline laying state map to obtain an evaluation zoning map of the landslide disaster danger in the long oil and gas pipeline area; and obtaining the evaluation result of the landslide disaster danger in the long oil and gas pipeline area according to the evaluation subarea graph of the landslide disaster danger in the long oil and gas pipeline area. The evaluation method considers the mutual influence of the long oil and gas pipeline and the landslide hazard, and is more in line with the actual situation of the long oil and gas pipeline.

Description

Landslide hazard risk evaluation method, landslide hazard risk evaluation device, electronic device, and medium
Technical Field
The disclosure relates to the technical field of pipeline geological disaster prevention and control, in particular to a landslide disaster risk evaluation method for a long-distance oil and gas pipeline area.
Background
Under the influence of factors such as geological action, human activities and the like, the process and the phenomenon that rock and soil bodies on the slope slide downwards along a certain weak surface wholly or locally along a structure under the action of gravity are called landslide. Landslide disasters have great influence on the safe operation of oil and gas pipelines. In 2015, in 12 months, the pipeline is affected by landslide disasters, and the pipeline of the wide and deep branch of China oil, Western gas and east China gas pipelines is damaged, leaks and causes pipeline explosion. Therefore, the research on the evaluation mode of landslide hazard danger in the long oil and gas pipeline area has important significance on prevention and control of geological disasters along the long oil and gas pipeline. The inventor finds that the conventional evaluation method for the landslide hazard risk in the long oil and gas pipeline area is mainly easy to occur, the consideration factors are not comprehensive enough, and the evaluation result is relatively comprehensive.
Disclosure of Invention
In view of the above problems, the present disclosure provides a method for evaluating the risk of a landslide hazard in a long oil and gas pipeline area, which solves the problems that the landslide hazard is evaluated mainly due to easiness and the mutual influence of the long oil and gas pipeline and the landslide hazard is not considered.
According to one aspect of the disclosure, a method for evaluating the landslide hazard risk of a long oil and gas pipeline area is provided, which includes: determining main control factors of landslide disasters; determining a grid map of the evaluation area; classifying each main control factor in the main control factors into an evaluation unit, and calculating the information quantity value of each evaluation unit by using an information quantity method to obtain the information quantity value of each main control factor in the grid map; fusing the information quantity value of each main control factor in the grid map based on a GIS information fusion technology to obtain the total information quantity value of the main control factors in the grid map and determine a landslide disaster susceptibility subarea map; quantitatively assigning values to the laying states of each section of pipeline to obtain a pipeline laying state diagram in the evaluation area; compositely superposing the landslide disaster susceptibility zoning map and the pipeline laying state map to obtain an evaluation zoning map of the landslide disaster danger in the long oil and gas pipeline area; and obtaining the evaluation result of the landslide disaster danger in the long oil and gas pipeline area according to the evaluation subarea graph of the landslide disaster danger in the long oil and gas pipeline area.
According to an embodiment of the present disclosure, the master factors include: at least one of elevation, grade, slope, vegetation index, formation lithology, fault, groundwater type, water system, and road.
According to the embodiment of the disclosure, the grid map comprises grid cells, and the information quantity method takes the grid cells as basic calculation units.
According to the embodiment of the disclosure, the quantitatively assigning value to each section of the pipeline laying state comprises normalizing the intersection angle alpha of the pipeline axis of each section of the pipeline and the main landslide direction to a value of [0, 1 ].
According to the embodiment of the disclosure, the step of compositely superposing the landslide disaster susceptibility zoning map and the pipeline laying state map comprises the following steps of: normalizing the total information quantity value in the landslide disaster susceptibility zoning map to [ -1, 1 ]; and compositely superposing the normalized landslide disaster susceptibility subarea graph and the pipeline laying state graph by using a GIS information fusion technology.
Another aspect of the present disclosure provides an apparatus for evaluating a risk of a landslide hazard in a long oil and gas pipeline region, including: the system comprises a first determining module, a second determining module and a third determining module, wherein the first determining module is used for determining main control factors of landslide disasters and a grid map of an evaluation area; the second calculation module is used for grading each main control factor in the main control factors, wherein each grade is an evaluation unit, and the information quantity value of each evaluation unit is calculated by using an information quantity method to obtain the information quantity value of each main control factor in the grid map; the third calculation module is used for fusing the information quantity values of the main control factors in the grid map based on a GIS information fusion technology to obtain the total information quantity values of the main control factors in the grid map and determine a landslide disaster susceptibility zone map; the fourth calculation module is used for quantitatively assigning values to the laying states of each section of pipeline to obtain a pipeline laying state diagram in the evaluation area; the fifth calculation module is used for compositely superposing the landslide disaster susceptibility partition map and the pipeline laying state map to obtain an evaluation partition map of the landslide disaster risk in the long oil and gas pipeline area; and the obtaining module is used for obtaining the evaluation result of the landslide disaster danger in the long oil and gas pipeline area according to the evaluation zone map.
According to the embodiment of the disclosure, the grid map comprises grid cells, and the information quantity method takes the grid cells as basic calculation units.
Another aspect of the present disclosure provides an electronic device comprising one or more processors and a storage, wherein the storage is configured to store executable instructions that, when executed by the processors, implement the method as described above.
Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions for implementing the method as described above when executed.
Another aspect of the disclosure provides a computer program product comprising computer executable instructions for implementing the method as described above when executed.
By the method for evaluating the landslide hazard risk in the long oil and gas pipeline area, the problems that the geological hazard is mainly prone to occur and the mutual influence of the long oil and gas pipeline and the landslide hazard is not considered in the conventional evaluation of the geological hazard can be solved. According to the evaluation method, the laying state of the long oil and gas pipeline is taken as an evaluation factor, and the influence of different laying states on the landslide hazard risk is considered, so that the landslide hazard risk along the long oil and gas pipeline is well reflected by an evaluation result, and the prevention and control work of the landslide hazard in the long oil and gas pipeline area is well guided.
Drawings
The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, which proceeds with reference to the accompanying drawings, in which:
fig. 1 schematically shows a flow chart of a method for evaluating the risk of landslide hazard in a long oil and gas pipeline area according to an embodiment of the present disclosure;
FIG. 2 schematically illustrates a pipelaying state diagram according to an embodiment of the present disclosure;
FIG. 3 schematically illustrates a landslide hazard susceptibility zoning map according to an embodiment of the present disclosure;
FIG. 4 schematically illustrates an evaluation zone map of landslide hazard risk in a long oil and gas pipeline region according to an embodiment of the disclosure;
fig. 5 schematically shows a block diagram of an evaluation device for landslide hazard risk in a long oil and gas pipeline area according to an embodiment of the present disclosure; and
fig. 6 schematically shows a block diagram of an electronic device according to an embodiment of the disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
The GIS is a short term Geographic Information System (Geographic Information System), which is a technical System for collecting, storing, managing, computing, analyzing, displaying and describing relevant Geographic distribution data in the whole or part of the earth's surface space. The GIS platform generally integrates functions of map editing, query, positioning, DEM analysis, and the like, wherein DEM is a short for Digital Elevation Model (Digital Elevation Model) and is a Digital simulation of ground terrain by limited terrain Elevation data.
The embodiment of the disclosure provides an evaluation method for landslide disaster risks in a long oil and gas transmission pipeline region, which comprises the following steps: determining main control factors of landslide disasters; determining a grid map of the evaluation area; classifying each main control factor in the main control factors into an evaluation unit, and calculating the information quantity value of each evaluation unit by using an information quantity method to obtain the information quantity value of each main control factor in the grid map; fusing the information quantity value of each main control factor in the grid map based on a GIS information fusion technology to obtain the total information quantity value of the main control factors in the grid map and determine a landslide disaster susceptibility subarea map; quantitatively assigning values to the laying states of each section of pipeline to obtain a pipeline laying state diagram in the evaluation area; compositely superposing the landslide disaster susceptibility zoning map and the pipeline laying state map to obtain an evaluation zoning map of the landslide disaster danger in the long oil and gas pipeline area; and obtaining the evaluation result of the landslide disaster danger in the long oil and gas pipeline area according to the evaluation subarea graph of the landslide disaster danger in the long oil and gas pipeline area.
Fig. 1 schematically shows a flowchart of an evaluation method of landslide hazard risk in a long oil and gas pipeline region according to an embodiment of the present disclosure.
As shown in fig. 1, the evaluation method may include operations S110 to S170.
In operation S110, a dominant factor of a landslide disaster is determined.
In the embodiment of the disclosure, determining the main control factors of the landslide hazard comprises researching and collecting geological environment data and historical landslide hazard point data along the long oil and gas pipeline area, qualitatively analyzing landslide disaster-pregnant geological environment conditions, and determining a main control factor index system influencing the occurrence of the landslide hazard in the evaluation area, such as elevation, gradient, slope direction, stratum lithology, fault, water system, vegetation index, road and the like.
In operation S120, a grid map of the evaluation area is determined, wherein the grid map is composed of grid cells.
In operation S130, each of the master factors is classified into one evaluation unit, and an information quantity value of each evaluation unit is calculated by using an information quantity method, so as to obtain an information quantity value of each master factor in the raster map. The higher the information value of the evaluation unit, the higher the contribution rate of the evaluation unit to the occurrence of the landslide hazard, and the lower the information value of the evaluation unit, the lower the contribution rate of the evaluation unit to the occurrence of the landslide hazard.
In an embodiment of the present disclosure, the step of calculating the information quantity value of each of the evaluation units by using an information quantity method includes:
Figure BDA0003323418750000051
in the formula: xiIs the evaluation unit of the ith grade of the master factor X, I (X)i) Is an evaluation unit XiThe information quantity value of (2); n is a radical ofiIs an evaluation unit XiThe number of landslide hazard points distributed in the middle; n is the total number of landslide hazard points distributed in the evaluation area; siIs an evaluation unit XiThe area of (d); s is the total area of the evaluation region.
In operation S140, based on a GIS information fusion technique, the information quantity values of each main control factor in the grid map are fused, so as to obtain a total information quantity value of the main control factor in the grid map, and determine a landslide disaster susceptibility sub-map. Since the information quantity values corresponding to each master factor are different in each grid unit, the information quantity values of each master factor in each grid unit need to be calculated respectively, and then the information quantity values of all master factors in the grid unit are superposed to obtain the total information quantity value of the master factors. And (4) calculating the total information quantity value of each grid unit in the grid map to obtain the landslide disaster susceptibility subarea map. The high total information value represents that the area is easy to form geological disasters, the low total information value represents that the area is not beneficial to forming the geological disasters, and then the natural grading method is used for dividing the evaluation area into a landslide disaster high-incidence area, a middle-incidence area and a low-incidence area.
In this embodiment of the present disclosure, the step of fusing the information quantity values of each master factor in the grid map to obtain the total information quantity value of the master factor in the grid map includes:
Figure BDA0003323418750000061
in the formula: i iskIs the total information amount of the master factors in the kth grid cell, n is the number of the master factors, I (X)j) Is the information quantity value of the jth dominant factor in the kth grid cell.
In operation S150, a value is quantitatively assigned to each section of the pipe-laying state, so as to obtain a pipe-laying state diagram in the evaluation area.
The pipeline laying state includes three modes of cross slope laying, longitudinal slope laying and slope laying, the cross slope laying condition is that the pipeline axis is perpendicular to the main sliding direction of the landslide (potential landslide), the longitudinal slope laying condition is that the pipeline axis is parallel to the main sliding direction of the landslide (potential landslide), and the slope laying condition is that the pipeline axis is obliquely crossed with the main sliding direction of the landslide (potential landslide). When the cross slope of the pipeline is laid, the effect of the gliding force of the landslide is the largest, when the longitudinal slope is laid, the effect of the gliding force of the landslide is the smallest, and when the slope is laid, the effect is between the two effects, so that the potential threat of the landslide to the cross slope of the pipeline is larger and more dangerous, the slope is laid secondly, and the threat to the longitudinal slope is the smallest.
Fig. 2 schematically illustrates a pipelaying state diagram according to an embodiment of the present disclosure.
As shown in fig. 2, in the embodiment of the present disclosure, the laying states of long oil and gas pipelines in the evaluation area are investigated, then quantitative assignment is performed on the laying state of each pipeline according to the investigation result, and a pipeline laying state diagram is drawn according to the quantitative assignment result. It should be noted that, in the evaluation area, the long oil and gas pipeline is segmented, and each segment has its corresponding laying state. However, in a grid cell, the pipe-laying status may be considered to be certain, i.e. in a grid cell, a certain value is obtained after quantitative assignment of the laying status of the corresponding pipe segment in the cell.
In operation S160, the landslide hazard susceptibility zoning map and the pipeline laying state map are compositely superimposed to obtain an evaluation zoning map of the landslide hazard risk in the long oil and gas pipeline area.
In the embodiment of the disclosure, after a landslide disaster susceptibility partition map and a pipeline laying state map are compositely superimposed by using a GIS information fusion technology in an evaluation area, a long oil and gas pipeline laid in a low-susceptibility area of a landslide disaster is low in risk, and the risk faced by the long oil and gas pipeline laid in the high-susceptibility area and the high-susceptibility area in the landslide disaster is comprehensively determined by the susceptibility of the landslide disaster and the pipeline laying state. And determining grading threshold values of the medium-risk area and the high-risk area of the landslide disaster in the long oil and gas pipeline area by using a natural grading method, obtaining the high-risk area, the medium-risk area and the low-risk area of the landslide disaster in the long oil and gas pipeline area, and forming an evaluation subarea diagram of the landslide disaster risk in the long oil and gas pipeline area.
In operation S170, an evaluation result of the landslide hazard risk in the long oil and gas pipeline area is obtained according to the evaluation zoning map of the landslide hazard risk in the long oil and gas pipeline area.
The method takes the laying state of the long-distance oil and gas pipeline as an evaluation factor, and considers the influence condition of different laying states on the landslide disaster risk, so that the problems that the landslide disaster risk in the long-distance oil and gas pipeline area is mainly easy to occur and the mutual influence between the laying state of the long-distance oil and gas pipeline and the landslide disaster is not considered in the prior art can be solved, the evaluation result is more in line with the actual condition of the long-distance oil and gas pipeline area, the landslide disaster risk along the long-distance oil and gas pipeline is better reflected, and the prevention and control work of the landslide disaster in the long-distance oil and gas pipeline area is better guided.
It should be noted that, in some alternative implementations, the operations noted in the flowchart block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the circumstances.
In an embodiment of the present disclosure, the master factors include: at least one of elevation, grade, slope, vegetation index, formation lithology, fault, groundwater type, water system, and road.
It should be noted that the main control factors for evaluating the main control factors of the regional landslide disaster are as follows: elevation, gradient, slope direction, stratum lithology, fault and water system. The elevation has certain influence on slope deformation damage, rainfall, rock and soil body types and human engineering activities of different elevations in one area are different, and therefore the elevation is one of main control factors of landslide disasters; the slope is another main factor of slope deformation damage, and is not easy to generate landslide in a region with a slow slope, and is easy to generate landslide at about 40 degrees; the slope direction is another factor influencing the slope deformation, the illumination intensity of different slope directions is different, and the difference can generate certain influence on the plant covering, so that the form size and the distribution of the landslide are influenced; stratum lithology is an important factor influencing landslide development, physical and mechanical properties of different stratum lithologies have large difference, soft rock is easy to slide, and hard rock is not easy to slide; the fault is another main factor of landslide occurrence, a fault fracture zone can be formed by the fault, the erosion resistance and the weathering resistance of a rock mass are extremely poor in the fault fracture zone, and the erosion resistance and the weathering resistance of the rock mass are increased along with the increase of the distance from the fault, so that the distance from the fault is used as one of main control factors of the landslide; the water system is also one of the main factors influencing the slope stability, river cutting influences the change of slope stress, landslide is easy to occur, and the distance between landslide disasters and the water system is related.
In the embodiment of the present disclosure, the master control factor classification condition is: dividing the elevation in the evaluation area into five levels by using a natural grading method, wherein each grade forms an evaluation unit; dividing the gradient in the evaluation area into five grades according to the degree of less than 10 degrees, 10-20 degrees, 20-30 degrees, 30-40 degrees and more than 40 degrees, wherein each grade forms an evaluation unit; dividing the slope direction in the evaluation area into nine grades according to the plane, the north, the northeast, the east, the southeast, the south, the southwest, the west and the northwest, and forming an evaluation unit by each grade; dividing the stratum lithology into ten levels according to the actual situation of the stratum lithology of the evaluation area, wherein each level forms an evaluation unit; dividing the distance between the fault in the evaluation area into six grades according to the distance less than 1km, 1-2km, 2-3km, 3-4km, 4-5km and more than 5km, and forming an evaluation unit by each grade; the distance from the water system is divided into six grades according to the practical situation of the evaluation area, wherein the distances are less than 200m, 200-400m, 400-600m, 600-800m, 800-1000m and more than 1000m, and each grade forms an evaluation unit.
Fig. 3 schematically illustrates a landslide hazard susceptibility zoning map according to an embodiment of the present disclosure.
As shown in fig. 3, in the embodiment of the present disclosure, the area of each evaluation unit of six main control factors of elevation, gradient, slope direction, stratigraphic lithology, fault and water system, and the number of landslide geological disaster points in each evaluation unit are counted. The information amount of each evaluation unit is calculated using the information amount method. The higher the information value of the evaluation unit, the higher the contribution rate of the evaluation unit to the occurrence of the landslide hazard, and the lower the information value of the evaluation unit, the lower the contribution rate of the evaluation unit to the occurrence of the landslide hazard. The method comprises the steps of drawing information quantity graphs of elevation, gradient, slope direction, stratum lithology, distance from fault and distance from a water system by using a GIS, fusing the information quantity graphs of all main control factors into a graph by using a GIS information fusion technology, dividing the total information quantity into three levels by using a natural grading method, wherein the total information quantity represents that the area is easy to form geological disasters, the total information quantity represents that the area is not beneficial to forming the geological disasters, and forming a landslide disaster susceptibility subarea graph of an evaluation area by dividing the total information quantity into three levels which are respectively a low susceptibility subarea, a middle susceptibility subarea and a high susceptibility subarea of regional landslide disasters.
In the embodiment of the present disclosure, the grid map includes a grid unit, and the information quantity method uses the grid unit as a basic calculation unit. It should be noted that, in one grid cell, the condition of the evaluation area can be considered to be uniform. Namely, in a grid unit, the information quantity value of each evaluation unit of each main control factor is the same, and the pipeline laying state is consistent. Therefore, the size of the grid cell needs to be determined according to the actual condition of the evaluation area. The size of the grid unit is determined by the area of the evaluation area and DEM data, and preferably an integer format such as 100m × 100m, 50m × 50m, 10m × 10m and the like is selected. Meanwhile, on the premise of ensuring the internal consistency of the grid units, when the area of an evaluation area is large, the grid units can be properly large so as to reduce the calculation amount; when the evaluation area is small, the grid unit can be small to increase the calculation speed. In addition, for simplifying the calculation, the size of the grid of the DEM data can be used as a basic calculation unit.
In the embodiment of the present disclosure, a grid of 30m × 30m is determined as the basic calculation unit in combination with the actual situation of the evaluation area.
In the disclosed embodiment, the quantitatively assigning value to each section of the pipeline laying state comprises normalizing the intersection angle alpha of the pipeline axis of each section of the pipeline and the main landslide direction of the landslide to a value of [0, 1 ].
In the disclosed embodiment, the step of normalizing the intersection angle α of the pipeline axis of each pipeline segment and the main landslide direction to a value of [0, 1] includes:
Figure BDA0003323418750000091
in the formula: l isjIs the normalized value of the ith pipeline, alphaiIs the intersection angle between the pipeline axis of the ith section of pipeline and the main landslide direction of the landslide, alphaminIs the minimum value of the intersection angle between the pipeline axes of all the sections of pipelines in the evaluation area and the main landslide direction of the landslide, alphamaxThe maximum value of the intersection angle of the pipeline axes of all the sections of pipelines in the evaluation area and the main landslide direction of the landslide is obtained.
Fig. 4 schematically shows an evaluation zone map of landslide hazard risk in a long oil and gas pipeline region according to an embodiment of the disclosure.
As shown in fig. 4, in the embodiment of the present disclosure, the step of compositely overlaying the landslide disaster susceptibility zoning map and the pipe laying state map includes: normalizing the total information quantity value in the landslide disaster susceptibility zoning map to [ -1, 1 ]; and compositely superposing the normalized landslide disaster susceptibility subarea graph and the pipeline laying state graph by using a GIS information fusion technology to obtain an evaluation subarea graph of the landslide disaster risk in the long oil and gas pipeline area. It should be noted that, in order to ensure that the dimensions of the two are consistent, the total information amount value in the landslide disaster susceptibility partition map needs to be normalized to [ -1, 1] before superposition, and a normalized landslide disaster susceptibility partition map is generated.
In an embodiment of the present disclosure, the step of normalizing the total information amount value in the landslide disaster susceptibility zoning map to [ -1, 1] includes:
Figure BDA0003323418750000101
in the formula: i isfIs the normalized total information content value, I, of the master factor in the kth grid cellkIs the total information content value, I, of the master factor in the kth grid cellminIs the minimum value of the total information quantity in the evaluation area, ImaxIs the maximum value of the total information amount in the evaluation area.
In an embodiment of the present disclosure, the step of compositely superimposing the normalized landslide disaster susceptibility partition map and the pipeline laying state map by using a GIS information fusion technology includes:
Figure BDA0003323418750000102
in the formula: hkIs a risk evaluation index in the kth grid cell, IfIs the normalized total information content value, L, of the master factor in the kth grid celliIs the normalized value of the ith pipeline corresponding to the kth grid unit, I1Is the classification threshold for low and medium susceptibility regions.
Fig. 5 schematically shows a block diagram of an evaluation device for landslide hazard risk in a long oil and gas pipeline area according to an embodiment of the disclosure.
As shown in fig. 5, an embodiment of the present disclosure provides an apparatus 500 for evaluating a risk of a landslide hazard in a long oil and gas pipeline region, including: a first determining module 501, configured to determine a master control factor of a landslide disaster and a grid map of an evaluation area; a second calculating module 502, configured to grade each of the master control factors, where each of the master control factors is classified into an evaluation unit, and calculate an information quantity value of each of the evaluation units by using an information quantity method, so as to obtain an information quantity value of each of the master control factors in the grid map; a third calculating module 503, configured to fuse information quantity values of each main control factor in the grid map based on a GIS information fusion technology, obtain a total information quantity value of the main control factor in the grid map, and determine a landslide disaster susceptibility zoning map; a fourth calculation module 504, configured to quantitatively assign a value to each segment of the pipeline laying state to obtain a pipeline laying state diagram in the evaluation area; a fifth calculating module 505, configured to superimpose the landslide disaster susceptibility partition map and the pipeline laying state map compositely to obtain an evaluation partition map of the landslide disaster risk in the long oil and gas pipeline area; an obtaining module 506, configured to obtain an evaluation result of the risk of the landslide hazard in the long oil and gas pipeline region according to the evaluation zone map.
In the embodiment of the present disclosure, the grid map in the evaluation apparatus 500 includes a grid unit, and the information quantity method uses the grid unit as a basic calculation unit.
It should be noted that the implementation, solved technical problems, implemented functions, and achieved technical effects of each module/unit/subunit and the like in the apparatus part embodiment are respectively the same as or similar to the implementation, solved technical problems, implemented functions, and achieved technical effects of each corresponding step in the method part embodiment.
Any of the modules, units, or at least part of the functionality of any of them according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules and units according to the embodiments of the present disclosure may be implemented by being split into a plurality of modules. Any one or more of the modules, units according to the embodiments of the present disclosure may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by any other reasonable means of hardware or firmware by integrating or packaging the circuits, or in any one of three implementations of software, hardware and firmware, or in any suitable combination of any of them. Alternatively, one or more of the modules, units according to embodiments of the present disclosure may be implemented at least partly as computer program modules, which, when executed, may perform the respective functions.
For example, any number of the first determining module 501, the second calculating module 502, the third calculating module 503, the fourth calculating module 504, the fifth calculating module 505, and the obtaining module 506 may be combined in one module to be implemented, or any one of them may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first determining module 501, the second calculating module 502, the third calculating module 503, the fourth calculating module 504, the fifth calculating module 505 and the obtaining module 506 may be at least partially implemented as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementations of software, hardware and firmware, or by a suitable combination of any of them. Alternatively, at least one of the first determining module 501, the second calculating module 502, the third calculating module 503, the fourth calculating module 504, the fifth calculating module 505 and the obtaining module 506 may be at least partly implemented as a computer program module, which when executed may perform a corresponding function.
Fig. 6 schematically shows a block diagram of an electronic device according to an embodiment of the disclosure. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 6, an electronic device 600 according to an embodiment of the present disclosure includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. Processor 601 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 601 may also include onboard memory for caching purposes. Processor 601 may include a single processing unit or multiple processing units for performing different actions of a method flow according to embodiments of the disclosure.
In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 are stored. The processor 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. The processor 601 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 602 and/or RAM 603. It is to be noted that the programs may also be stored in one or more memories other than the ROM 602 and RAM 603. The processor 601 may also perform various operations of the method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.
Electronic device 600 may also include input/output (I/O) interface 605, input/output (I/O) interface 605 also connected to bus 604, according to an embodiment of the disclosure. The electronic device 600 may also include one or more of the following components connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
According to embodiments of the present disclosure, method flows according to embodiments of the present disclosure may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program, when executed by the processor 601, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 602 and/or RAM 603 described above and/or one or more memories other than the ROM 602 and RAM 603.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The present disclosure also provides a computer program comprising one or more programs. The above-described method may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program, when executed by the processor 601, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims (10)

1. A method for evaluating the landslide hazard risk of a long oil and gas pipeline area is characterized by comprising the following steps:
determining main control factors of landslide disasters;
determining a grid map of the evaluation area;
classifying each main control factor in the main control factors into an evaluation unit, and calculating the information quantity value of each evaluation unit by using an information quantity method to obtain the information quantity value of each main control factor in the grid map;
fusing the information quantity value of each main control factor in the grid map based on a GIS information fusion technology to obtain the total information quantity value of the main control factors in the grid map and determine a landslide disaster susceptibility subarea map;
quantitatively assigning values to the laying states of each section of pipeline to obtain a pipeline laying state diagram in the evaluation area;
compositely superposing the landslide disaster susceptibility zoning map and the pipeline laying state map to obtain an evaluation zoning map of the landslide disaster danger in the long oil and gas pipeline area; and
and obtaining the evaluation result of the landslide hazard risk of the long oil and gas pipeline region according to the evaluation subarea graph of the landslide hazard risk of the long oil and gas pipeline region.
2. The method of claim 1, wherein the master factors comprise: at least one of elevation, grade, slope, vegetation index, formation lithology, fault, groundwater type, water system, and road.
3. The method of claim 1, wherein the grid map includes grid cells, and wherein the information quanta method uses the grid cells as a basic computation unit.
4. The method according to claim 1, wherein the quantitatively assigning values to the laying states of each section of pipeline comprises normalizing an angle α of intersection of a pipeline axis of each section of pipeline and a main landslide direction to a value of [0, 1 ].
5. The method according to claim 4, wherein the step of compositely overlaying the landslide hazard susceptibility zoning map and the pipelaying status map comprises:
normalizing the total information quantity value in the landslide disaster susceptibility zoning map to [ -1, 1 ]; and
and compositely superposing the normalized landslide disaster susceptibility subarea graph and the pipeline laying state graph by using a GIS information fusion technology.
6. The utility model provides an evaluation device of long oil and gas pipeline regional landslide calamity which characterized in that includes:
the system comprises a first determining module, a second determining module and a third determining module, wherein the first determining module is used for determining main control factors of landslide disasters and a grid map of an evaluation area;
the second calculation module is used for grading each main control factor in the main control factors, wherein each grade is an evaluation unit, and the information quantity value of each evaluation unit is calculated by using an information quantity method to obtain the information quantity value of each main control factor in the grid map;
the third calculation module is used for fusing the information quantity values of the main control factors in the grid map based on a GIS information fusion technology to obtain the total information quantity values of the main control factors in the grid map and determine a landslide disaster susceptibility zone map;
the fourth calculation module is used for quantitatively assigning values to the laying states of each section of pipeline to obtain a pipeline laying state diagram in the evaluation area;
the fifth calculation module is used for compositely superposing the landslide disaster susceptibility partition map and the pipeline laying state map to obtain an evaluation partition map of the landslide disaster risk in the long oil and gas pipeline area;
and the obtaining module is used for obtaining the evaluation result of the landslide disaster danger in the long oil and gas pipeline area according to the evaluation zone map.
7. The evaluation apparatus according to claim 6, wherein the grid map includes a grid cell, and the information measure method uses the grid cell as a basic calculation unit.
8. An electronic device, comprising:
one or more processors;
storage means for storing executable instructions which, when executed by the processor, implement the method of any one of claims 1 to 5.
9. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, implement a method according to any one of claims 1 to 5.
10. A computer program product comprising one or more executable instructions which, when executed by a processor, implement a method according to any one of claims 1 to 5.
CN202111259174.6A 2021-10-27 2021-10-27 Landslide hazard risk evaluation method, landslide hazard risk evaluation device, electronic device, and medium Pending CN113888031A (en)

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